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related Logistics Market approach evaluation, building & Futuristic developments to 2023 | killexams.com Real Questions and Pass4sure dumps

a brand new business intelligence document released by means of MarketIntellica with title linked Logistics Market Forecast up to 2024 has talents to elevate because the most enormous market global because it has remained enjoying a amazing function in setting up innovative influences on the regularly occurring economy. The linked Logistics Market Forecast as much as 2024 offers lively visions to conclude and look at market measurement, market hopes, and competitive atmosphere. The research is derived through simple and secondary facts sources and it includes both qualitative and quantitative detailing. one of the crucial key gamers profiled within the study are SAP, Infosys, IBM, Cisco and HCL applied sciences.

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The related Logistics Market Forecast up to 2024 market file extra specializes in suitable business leaders and explores all necessities facets aggressive landscape. It explains powerful enterprise suggestions and processes, consumption propensity, regulatory policies, recent moves taken via competitors, in addition to potential investment alternatives and market threats also. The record emphasis essential financial details of principal producers including yr-sensible sale, revenue growth, CAGR, production cost analysis, and value chain structure.In 2017, the related Logistics Market Forecast up to 2024 market measurement become USD XX and is forecast to reach Million YY USD in 2025, growing to be at a CAGR of xx%. The objectives of this analyze is to define, market segment having opportunity, and to challenge the size of the linked Logistics Market Forecast as much as 2024 market based on company, product classification, software and key regions.besides, the report also covers phase statistics, together with: type phase, business section and many others. cover distinctive phase market dimension. additionally cowl different industries clients advice, which is very critical for the essential gamers. if you would like extra tips, please contact MarketIntellica at revenue@marketintellica.com**The market is valued based on weighted average promoting price (WASP) and comprises any applicable taxes on producers. All foreign money conversions used in the introduction of this document have been calculated the usage of steady annual usual 2018 currency charges.competitive analysis:the important thing players are highly focusing innovation in creation technologies to improve efficiency and shelf life. The premier long-term boom alternatives for this sector can be captured via making certain ongoing process improvements and fiscal flexibility to invest in the optimal options. company profile portion of players such as SAP, Infosys, IBM, Cisco, HCL applied sciences contains its simple information like felony name, web site, headquarters, its market place, old heritage and correct 5 closest opponents by Market capitalization / salary along with contact tips. each player/ brand revenue figures, increase expense and gross earnings margin is equipped in effortless to remember tabular layout for past 5 years and a separate section on fresh building like mergers, acquisition or any new product/service launch and so forth.

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Key Stakeholders/world experiences:- connected Logistics Market Forecast up to 2024 producers- related Logistics Market Forecast up to 2024 Distributors/traders/Wholesalers- linked Logistics Market Forecast as much as 2024 Sub-part producers- trade association- Downstream VendorsFollowing would be the Chapters to display the connected Logistics Market Forecast as much as 2024 market.table of Contents1 government summary 111.1 finding 1 111.2 discovering 2 112 business Outlook 132.1 business Overview 132.2 industry trends 133 Market image 143.1 complete Addressable Market 143.2 Segmented Addressable Market 143.three PEST analysis 153.4 Porter 5 (five) Forces 173.5 related Markets 174 Market Outlook 194.1 Overview 19

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IBM researchers use AI to predict chance of developing psychosis | killexams.com Real Questions and Pass4sure dumps

constructing off of work published in 2015, the group used AI to analyze the speech patterns of 59 individuals who had participated in a separate look at. Transcripts of an interview the participants took half in were broken down into materials of speech and have been scored on how coherent the sentences have been. Then, the laptop studying model decided, in accordance with these speech patterns, who turned into at risk of constructing psychosis and who wasn't. Of those participants, 19 developed a psychotic disease inside two years while forty did not and the mannequin turned into capable of predict that with eighty three p.c accuracy. It became also in a position to differentiate speech patterns of patients who had these days developed psychosis from these of in shape sufferers with 72 p.c accuracy. The application found that those susceptible to psychosis used fewer possessive pronouns when speaking and developed much less coherent sentences.

while the work remains ongoing, it indicates that AI could be an exceptional tool and could be specifically advantageous when intellectual health specialists are in brief provide or aren't available. "We consider this is a significant step against the intention of developing a device for intellectual fitness practitioners, caregivers and patients themselves with a tool that can extend and multiply the reach of neuropsychiatric assessment backyard of the medical institution," stated study writer Guillermo Cecchi in a blog post. in the video under he says that being able to predict possibility of psychosis years in advance could support medical and mental health authorities more suitable allocate their substances and provide more desirable care to these at risk. Cecchi facets out that one enviornment the place this can also have an influence is with the homeless who possible wouldn't have the substances to are trying to find out clinical aid. "in view that I believe they will do whatever thing, they should still," he says.

The examine became published these days in World Psychiatry and Cecchi says the group should be sharing greater work on other intellectual health conditions includings depression, Alzheimer's sickness, Parkinson's sickness and persistent ache.


IBM Clarifies Java alternatives Following Oracle License Crackdown | killexams.com Real Questions and Pass4sure dumps

April 3, 2019 Alex Woodie

IBM i shops which are wondering a way to keep their Java environments following Oracle’s fresh determination to preclude access to Java runtimes and building equipment should still pay close consideration to some innovations that IBM is making concerning Java, specifically the way it influences access customer options (ACS).

Oracle is slated to ship a important protection replace for Java normal version (SE) eight in every week and a half. but until you have got purchased a industrial license for Java SE 8, your enterprise won’t be getting that replace, which could depart your methods prone. That’s because in late 2018, Oracle made some reasonably large changes to the manner customers will receive patches and updates for the growing old Java environment.

patrons who run Java SE eight on their home computer systems or different personal makes use of can continue to get hold of periodic updates and protection patches for the runtime atmosphere, in response to Oracle’s new guidelines. but agencies who use the Java SE eight runtime will need to pony up the money in the event that they wish to retain their techniques free of security vulnerabilities, according to Oracle.

“Public updates for Oracle Java SE eight will stay obtainable for individual, personal use through as a minimum the end of 2020,” Oracle states on its net page. “Public updates for Oracle Java SE eight released after January 2019 are not accessible for company, business or creation use with out a commercial license.”

The Redwood metropolis, California, business made equivalent alterations to edition 11 of the Oracle Java building kit (JDK). Oracle says clients “may additionally not . . . use the classes for any records processing or any business, creation, or internal business applications other than constructing, checking out, prototyping, and demonstrating your application.”

So what’s a Java consumer to do? companies that need to keep their older Java SE eight environments can buy a Java SE Subscription from the Oracle store. The annual subscriptions beginning at $30 per user for desktop help, $300 per processor for server and cloud environments, and $1,200 per person for Java equipment (together with NetBeans, JDeveloper, and commercial enterprise Pack for Eclipse).

Oracle is being criticized for the adjustments to Java SE eight and JDK 11 phrases, with some users claiming that the changes constitute a entice for people that up to now used Java SE in creation with out being requested to pay for it. “For 23 years, builders have downloaded the JDK from Oracle and used it for $free,” writes Stephen Colebourne on his Java blog. “unless you examine the textual content/warnings/legalese very cautiously you could now not even realize Oracle JDK is now commercial, and that you're hence at risk of pay Oracle for using this specific JDK in production.”

however business customers who don’t are looking to pay Oracle do still have alternatives. For starters, they can upgrade to more moderen models of Java. Java SE eight first debuted in 2015 and is at the moment in widespread use. however Java SE eight is also considered to be a legacy free up, with a newer and more suitable unlock obtainable, specifically Java SE eleven, which shipped in September and is considered an extended term unlock (LTR). Java SE 12 shipped simply closing month, making it slightly green still for organizations to make use of it. anyway, it’s not an LTR.

The depend is a little bit advanced on the IBM i server, especially as a result of IBM has treated Java eight as the go-to unencumber of Java SE for a number of years (the enterprise edition of Java was renamed Jakarta EE a couple of 12 months in the past). IBM determined to pass helping Java SE types 9 and 10 with the IBM i working equipment itself, because they have been not LTRs. That left Java SE 8 as the handiest game in town for IBM i, until IBM committed remaining year to guide for Java SE eleven in the IBM i OS proper.

In March, IBM posted a number of strategies on its guide website for a way IBM i clients can navigate these alterations to the Java licensing procedure, certainly because it relates to ACS, which is the company’s strategic client for accessing the IBM i working programs. (since it runs on home windows, Mac, and Linux desktops and not the IBM i OS itself, ACS can guide other Java SE releases that IBM i doesn't.)

purchasers who run ACS edition 1.1.8.1 can improve to Java SE 11. IBM shipped that unlock of ACS late ultimate year, which introduced a few new elements moreover guide for Java SE eleven.

youngsters, the older version of ACS, 1.1.8.0, best helps Java SE types eight, 9, and 10, but no longer Java SE eleven. and since Java SE versions 9 and 10 aren't LTRs and therefore aren't being lively supported (i.e. no safety updates are coming from Oracle), that leaves Java SE eight as the only manageable alternative.

The answer recommended via IBM is to make use of OpenJDK, an open source Java building equipment. “Oracle has been and is continuing to make their Java know-how obtainable under the open GPL license for OpenJDK and OpenJDK will work with IBM i entry client solutions,” IBM states in its aid doc.

IBM i stores have three leading options for obtaining the OpenJDK.

the first alternative is to get the OpenJDK and the OpenJ9 JVM from AdoptOpenJDK The OpenJ9 JVM is in accordance with the OpenJ9 expertise that IBM contributed to open source lower back in 2017. (The identify “J9” has nothing to do with Java SE 9 or another Java version; the cause of the J9 nomenclature is lined right here).

Secondly, IBM says there’s a “Hotspot” distribution of OpenJDK attainable from the OpenJDK website that elements an Oracle JVM, in keeping with IBM. IBM i retail outlets settling on both of these alternatives will also be assured that they should be maintained in a protracted-time period method, IBM says.

“These OpenJDK distributions [including the OpenJ9 JVM and the “Hotspot” OpenJDK distribution] are being developed by way of a team that comprises IBM and this team has dedicated to making fixes and protection updates purchasable in a timely method for the long term at no cost below the OpenJDK licenses,” IBM states.

When it involves aiding the OpenJ9 JVM purchasable from the AdoptOpenJDK web page, there are two main options, based on IBM: aiding oneself through the open source community, or paying for a guide settlement from IBM. IBM has two alternate options for aiding the OpenJ9 JVM (what it calls IBM Runtimes for enterprise), including the older 5737-F61 providing and the more recent 5737-J49 offering.

there is also a 3rd OpenJDK alternative referred to as Corretto, the identify of a new undertaking launched via Amazon internet capabilities in early 2019. IBM says there are Java SE 8 and Java SE 11 distributions attainable of Corretto available for windows, Mac and Linux operating systems, all of that are supported with the aid of ACS. aid for this OpenJDK distribution most likely comes from AWS. however this distribution is not supported through any IBMers and IBM made no statements about how long customers can are expecting to receive updates for this product.

ACS is rather resilient to distinctive Java environments, IBM says, but there are some particulars that IBM i retail outlets should be searching for, notably for Java environments like OpenJDK that won't have wizards controlling installations.

because of the multiple nature of how distinct environments can also choose to set up Java, IBM i access customer options (IBM i ACS) is terribly bendy and the leisure of this can focus on one of the crucial alternatives with launching IBM i ACS with a variety of Java deployments. In its support doc, IBM provided some assistance on how to be certain a easy roll-out of ACS in these assorted Java environments.

For extra counsel, see the IBM ACS and Java assist doc at www-01.ibm.com/help/docview.wss?uid=ibm10719405.

related studies

IBM offers New goodies with ACS update

IBM i Slated to aid Java eleven

Goodbye, Java commercial enterprise edition. hiya, Jakarta EE

Java On IBM i: A setting up situation


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KMWorld Trend-Setting Products of 2009 | killexams.com real questions and Pass4sure dumps

Aug 28, 2009

Hugh McKellar

We first published their list of Trend-Setting Products in 2003, when portals and smart enterprise suites were hot, and robust content management offerings were entering adulthood. Folks were wondering about the scope of the Tyco case, and Enron was just starting to show up on the radar.

Service-oriented architectures were beginning to take shape, and both memory and storage were quite expensive. Software as a service (not merely hosted applications) was at its very early stages. The cloud existed only outside.

A lot of things have change since then, but their criteria for inclusion on the list haven’t changed a whit. Although the composition of their judging panel includes some different names from the 2003 edition, it still consists of editorial colleagues, analysts, system integrators, users and vendors themselves. Like usual, they request anonymity so they are protected from any negative feedback.

We’ve selected some 130 different products upon which they all agree—more than they have in previous editions because the landscape is far more challenging than it has been in the past. They represent what they believe are the solutions that best exemplify the spirit of innovation demanded by the current economy, while providing their customers with the unique tools and capabilities to move and grow beyond the recession.

Some have been around for a while, a testimony to the limber execution of their initial mission of adaptability. Others are relatively new, and their uniqueness points to (what they believe should be) their much wider adoption. Are these the only trend-setting products on the market? The answer is a resounding no. They do represent the ones best suited to meet the needs of KMWorld readers. They all have been designed with a clear understanding of customers’ needs.

I hope you’ll spend the time required to explore what the products can do to solve at least some of the vexing problems they all face today.

5280 Solutions: Dynamic Filer—automates the process of scanning and filing paper documents into SharePoint.

A2iA: A2iA DocumentReader—classification of digitized documents into categories (letter, identity papers, contract, etc.) based on both their geometry and their content. Click here to see enhanced product description.

ABBYY USA: TouchTo Technology—data capture software for LCD-based touchscreen technology.

Abrevity: Abrevity’s FileData Classifier—enables control over files and data distributed across heterogeneous storage platforms.

Access Innovations: Search Harmony—ultra-scalable search solution. Click here to see enhanced product description.

Accusoft Pegasus: Web-Based Image Viewer—document and photo processing for asset optimization.

Adobe: LiveCycle Developer Express—Adobe’s first step toward cloud computing and embracing open source in the enterprise.

Alterian: Content Manager—full Web content management designed for business-user level Web site optimization.

Appian: Enterprise—simple, robust business process management. Click here to see enhanced product description.

Apple: iPhone 3GS apps—bringing true enterprise capabilities to arguably the most user-friendly smart phone.

Aquire: OrgPublisher 9 Premier—succession planning, organizational planning and powerful organization charting.

ASG Software: ASG-ViewDirect Suite—a highly scalable, full-featured archiving platform.

AskMe-Realcom: AskMe for SharePoint—a legitimate knowledge networking solution.

Astute Solutions: RealDialog—natural language-based search, knowledge management and Web self-service solutions.

Attensity: Voice of the Customer—suite of business applications for unstructured data, offering  integrated automated response for customer experience management.

Attivio: Attivio Active Intelligence Engine—extends enterprise search capabilities across documents, data and media.

Autonomy: Intelligent Data Operating Layer (IDOL) Server—collects indexed data from connectors and stores it in its proprietary structure, optimized for fast processing and retrieval.

BA-Insight: Longitude—extends the search usability, relevance and connectivity capabilities of Microsoft SharePoint and Search Server.

Baynote: Collective Intelligence Platform—on-demand recommendations and social search for Web sites.

Brainware: Globalbrain Enterprise Edition—locates information on PCs, enterprise databases, file servers, the Internet, etc., supports more than 250 file formats. Click here to see enhanced product description.

CA: CA Governance, Risk & Compliance Manager—centralized, unified approach to managing all IT risks and controls.

CaseCentral: CaseCentral Early Case Assessment—integrated, multipurpose e-discovery review platform.

Chiliad: Chiliad Discovery/Alert—platform for search and knowledge discovery across distributed repositories of unstructured and structured data.

Citrix Online: GoToMeeting—richly featured, stable Web presentation/conferencing solution.

Comperio: Comperio Front—business logic software search solutions.

Concept Searching: conceptClassifier for SharePoint—statistical search and classification using concept extraction and compound term processing. Click here to see enhanced product description.

Connectbeam: Social Activity Platform and Applications—enterprise social networking platform.

Connotate: Agent Community GEN2—allows non-technical users to create powerful, customized intelligent agents to access high-value content deep on the Web or in the enterprise. Click here to see enhanced product description.

Consona: Consona Knowledge Management—knowledge-driven customer relationship management.

Content Analyst: Content Analyst Analytical Technology (CAAT)—enables organizations to organize, access and share information across multiple languages without the need for extensive human intervention. Click here to see enhanced product description.

Coveo: Coveo Enterprise Search—offers a customizable, complete and unified view of critical information located across the organization no matter where it sits. Click here to see enhanced product description.

Daticon-eed: Daticon EED Discovery Partner—integrated platform for e-discovery processing, analytics, review and production.

Day Software: Day CQ5 V. 5.2—Web content management designed for business users to easily create and publish content.

DeepDyve: Research Engine—search and indexing technology to cull rich, relevant content from journals, documents and untapped Deep Web pages.

DocZone: DocZone, Really Strategies' SaaS XML content management and single-source publishing solution for authoring, managing, reusing, localizing and publishing content.

Dow Jones Business & Relationship Intelligence: Dow Jones Companies & Executives—business and competitive intelligence, including competitor analysis, financial statements, regulatory filings, targeted news, executive biographies.

EDS: EDS Applications Modernization Services—agile applications and architecture to speed software migration. Click here to see enhanced product description.

eGain: eGain Service 8.0—complete suite of customer service and contact center software.

EMC: SourceOne Suite—new family of products and solutions for archiving, e-discovery and compliance aimed at helping companies centrally manage multiple content types in order to apply consistent retention, disposition and overall life cycle management.

Empolis: Empolis Discovery and Research/Attensity Discovery and Research—a comprehensive family of information management applications built on deep expertise in semantic language technologies. Click here to see enhanced product description.

Endeca: Information Access Platform—foundation upon which configurable search-based business applications can be built and deployed.

Exalead: Exalead CloudView—automatically collects, structures and contextualizes high volumes of unstructured and structured content scattered across the enterprise information cloud.

EXSYS: Exsys Corvid—knowledge automation expert system development tool. Click here to see enhanced product description.

Extensis: Universal Type Server 2—comprehensive font management and workflow.

FatWire: Web Experience Management (WEM) Suite—Web content management, collaboration and community, content integration, audience targeting and measurement, and mobile publishing and delivery.

Fios: Discovery Response Services—identification, preservation and collection through processing, review and production.

FTI Technology: Ringtail Legal—services designed to reduce enterprise risk while improving the daily flow and management of critical information.

Global 360: Process360—complete business process management.

Google: Google Docs and Spreadsheets—merges word processing, spreadsheets and basic presentations within an online service that allows collaboration with other users.

Guidance Software: EnCase Enterprise—searches, preserves and analyzes data across servers, desktops, and laptops to investigate HR matters, suspected fraud and external threats, as well as the platform for eDiscovery and CyberSecurity solutions.

Hoovers: Competitive Intelligence Services—online application service that allows clients to monitor coverage of companies, people, products and issues from a wide range of news and information sources.

IBM: Agile ECM—an ECM platform integrated with business process management, designed to deliver the flexibility required to increase business adaptability.

iConect: iCONECTnXT—review features, analysis and production tools, key integrations with e-discovery collections, processing and culling.

iDatix: iSynergy—integrated content management designed to enable organizations to innovate their approach to managing content and simplify their daily workflow.

Infoglide: Identity Resolution Engine—enables capturing/leveraging ambiguous identity information to discover hidden relationships with multiple degrees of separation and automate decisions based on results.

InfoNgen: InfoNgen Enterprise Discovery—automatically monitors more than 28,000 online sources and processes more than 600,000 stories per day.

Information Builders: Enterprise Information Management (EIM) suite—real-time management of any structured or unstructured information from anywhere across the entire enterprise.

Inmagic: Presto—a complete social knowledge management platform. Click here to see enhanced product description.

InQuira: InQuira Intelligent Search—a unified system that combines advanced semantic search techniques and contextual understanding.

Integrify: Integrify 5.0—on-premise or on-demand enterprise request management software combining business process management and workflow. Click here to see enhanced product description.

IntelliResponse: Instant Answer e-service suite—enhances consumer experience across a variety of critical customer touch points, including the Web, chat, e-mail and phone.

Intellivision: Intelligent Video—video analysis and full automation of video monitoring.

iQuest: iQuest Software Suite—integrated software suite that combines social network analysis, auto-categorization with text extraction technologies to analyze unstructured data.

ISYS Search: ISYS:web 9—enterprise search solution for intranets, Web sites, Microsoft SharePoint and custom Web applications.

Jive Software: Jive Social Business Software (SBS)—collaboration, community and social network software in a secure enterprise platform.

Jodange: Jodange Opinion Utility for Publishers—an application for publishers that presents online opinions from a wide variety of selected sources to publishers about opinions expressed by those who are influencing their customers, competitors and the marketplace.

Just Systems: xfy XBRL Report—multidimensional instance viewer and report composer allowing extraction of financial data from multiple XBRL documents.

Kapow Technology: Web Data Server—enterprise platform that can wrap any existing Web site or Web application into data feeds or programmatic interfaces with no coding.

Kazeon: Information Server Data Center Edition—integrates discovery, indexing, classification, search, reporting and action into a single product.

Knowledge Genes: Knowledge Genes Enterprise Space—a method for developing and utilizing components of knowledge on a specific subject to enhance the organization.

Lombardi: Teamworks 7—enhances the automation and control of critical processes through support for large-scale business process transformation programs.

Lucid Imagination: LucidWorks—robust, open source search solutions.

Metastorm: Metastorm Enterprise—software suite designed to effectively align business strategy with execution while optimizing the types and levels of business resources.

Microsoft: MOSS—platform for collaboratively creating, managing and sharing documents and Web services.

Mindbreeze: Mindbreeze Search Appliance—easily deployed enterprise search. Click here to see enhanced product description.

NetDocuments: NetBinders—a secure mechanism to share and collaborate on documents.

New Idea Engineering: XPump—a content extraction toolkit.

NewsGator: Social Sites Professional—secure RSS feeds from news sites, blogs, Wikis and enterprise applications where your employees want them—the Web, mobile devices, e-mail clients and desktops.

NextLabs: Compliant Enterprise—entitlement management system to control and audit collaboration and access of applications and data to meet security and compliance requirements.

NextPage: NextPage Information Tracking Platform—tracking unstructured and unmanaged documents through the entire organization and enforcing document retention policies on those documents.

nGenera: nGen Enterprise Collaboration—designed to create a collaborative operating model, new strategic ideation process to help facilitate innovation.

Noetix: Noetix Search—a browser-based search application that enables users to quickly find the right Noetix views for their reports. Click here to see enhanced product description.

North Plains: TeleScope—highly scalable digital asset management solution for rich media management and distribution, centralization, workflow optimization and virtual collaboration.

Northern Light: SinglePoint Strategic Research Portal—hosted strategic research portal that can be deployed in 90 days to an unlimited number. Click here to see enhanced product description.

Nstein: DAM 4.0—.Net digital asset management application runs atop several software layers.

Onix Networking: IT Solutions and Services—information access and analysis, IT resource management/security and network solutions for a broad range of corporate and government customers.

Ontrack Engenium: Semetric—concept-based search engine designed to be embedded in a variety of applications to generate better, faster results.

Open Text: Open Text ECM Suite - Collaboration & Community Management—provides virtual environments in which employees and, at times, external business partners share knowledge on projects and collaborate.

Optimus BT: Resolve 2.0—framework leveraging SharePoint for secure, centralized automation of managing, tracking and resolution of issues.

PaperThin: CommonSpot 5.1—an inherently easy-to-use, intuitive Web content management system. Click here to see enhanced product description.

Perfect Search: Perfect Search Appliance—enables rapid search of Oracle, Microsoft SQL, DB2, MySQL and any SQL-compliant database without placing any additional load on those systems. Click here to see enhanced product description.

PTC (Parametric Technology Corp.): Arbortext Product Information Delivery—a complete product information delivery system that automates the authoring and publishing processes.

QL2: Data as a Service (DaaS)—solutions for customers in the travel, retail, life sciences, information services and government markets through secure, timely, focused delivery of Web data. Click here to see enhanced product description.

Raytion: Information Management Consulting—enterprise search, categorization and classification offering, including taxonomy management and metadata management.

Recommind: Axcelerate eDiscovery—automatic categorization of documents into computer-generated “buckets” based not just on keyword frequency but also on conceptual meaning.

Responsys: Interact Campaign—interactive marketing campaigns.

Rivet Logic: Open Source Content Management/Consulting—Enterprise 2.0 collaborative community solutions. Click here to see enhanced product description.

SafeHarbor: SmartSupport—a hosted, managed Web self-service delivery platform.

SAVO Group: Sales Enablement—organizationwide, on-demand, collaborative sales assistance and support.

SchemaLogic: SchemaServer—object modeling, collaboration and governance engine that supports simple list structures, complex multifaceted taxonomies or ontologies, and enterprisewide metadata structures.

SDL Tridion: SDL Tridion 2009—a unified online marketing suite, combining WCM functionality and online marketing capabilities. Click here to see enhanced product description.

SDL XySoft (formerly XyEnterprise): LiveContent—XML component content management (CCM) and dynamic publishing solutions.

Search Technologies: Enterprise Search Solutions—recommendation, installation, integration and maintenance of enterprise search platforms.

Semantra: Semantra RapidROI—ad hoc reporting and analytical solution for non-technical users.

Sitecore: Online Marketing Suite—online and offline campaigns and marketing channels to drive traffic to Web sites.

SLI: Learning Search—hosted site search solution that learns from site visitors.

Socialtext: Enterprise 2.0 by Socialtext—pioneering enterprise social networking platform.

Software AG: webMethods 8—integration of SOA, B2B and BPM capabilities into a single, unified console.

SpringCM: SpringCM On-Demand Platform—Capture, document management, workflow, collaboration, delivery, records management, reporting and administration.

StoredIQ: Intelligent Information Management—automation of the full e-discovery life cycle.

Sumtotal Systems: ResultsOnDemand—automated and integrated learning, performance and compensation solutions for talent development.

Sybase: Sybase Adaptive Server Enterprise (ASE) 15—complete business intelligence and database management.

Symantec: Symantec Online Backup—reliable, secure and cost-effective data backup and recovery.

TCDI: Discovery WorkFlow—centralized workflow definition and control interface capable of automating the launch of processes and resources. Click here to see enhanced product description.

TEMIS: Luxid—knowledge extraction from unstructured data. Click here to see enhanced product description.

Teragram: Teragram Categorizer—enables classification and organization of documents and information in an intuitive, browsable hierarchical directory for smart search and retrieval.

TheBrain: PersonalBrain 5—mind mapping software that allows you to link ideas, files and Web pages in a visual interface.

Thunderstone: Thunderstone Search Appliance—combines full-text and structured data without programming.

TIBCO subsidiary Insightful:S-Plus 8 Enterprise Server—predictive analysis integration to business intelligence, customer relationship management, enterprise resource planning and other corporate applications.

Top Quadrant: TopBraid Suite—semantic technology to connect silos of data, systems and infrastructure and build flexible applications from linked data models.

Traction Software: TeamPage—collaborative hypertext platform built to support working communication within and between groups.

Vital Path: PathBuilder—content integration and migration software.

Vivisimo: Velocity Search Platform—robust search for enterprise and government.

Wordmap: Wordmap Search Integration Framework—a complete taxonomy management system.

X1: Enterprise Search Suite 6.0—integrates critical business systems and bridges the gap between the desktop and the enterprise.

Xerox: DocuShare—widely deployed Web-based software application delivering content management capabilities.

Xythos: Xythos Enterprise Document Management Suite—document management solutions that feature collaboration with all the components that distributed organizations need to manage and share content on the Web.

ZL Technologies: ZL Unified Archive—an integrated suite of applications that deliver archiving, e-discovery search and litigation support, retention management, compliance supervision and storage optimization in a single scalable solution.

ZyLAB: ZyIMAGE eDiscovery and Production Platform—an end-to-end e-discovery software platform that addresses all the key aspects of e-discovery from records management to publishing discovery data into document management software. Click here to see enhanced product description.


Ignore the Vendor Hype: Tips for Selecting a Marketing Automation Platform | killexams.com real questions and Pass4sure dumps

hear no evil, see no evil, speak no evilWhen selecting a marketing automation platform, it can be hard to ignore the vendor hype. Here are some tips to get the platform your business needs PHOTO: Albie Girl

How do you determine which marketing automation platform is right for your business?

The answer has become increasingly complicated because more vendors are promising artificial intelligence (AI) and machine learning capabilities, dynamic content and direct integrations with analytics tools, supply-side platforms (SSP) and demand-side platforms (DSP) and social media advertising.

The number of platforms available continues to expand: In 2017, Gartner ranked 22 different products in its Magic Quadrant assessment of multichannel campaign management tools. The assortment of terms market research companies use to define (and assess) automation tools doesn’t make it any easier to narrow down to the core capabilities you need. 

Vendors with marketing automation capabilities appear in Forrester Research and Gartner reviews of real-time interaction management platforms, digital marketing hubs and enterprise marketing software suites. Vendor websites aren’t always the easiest to navigate either, especially when you’re searching for specific features.

When searching for the right platform, you may end up bombarded with a lot of information you don’t want — or need. After completing a marketing automation vendor evaluation for a client, I put together the following recommendations for assessing prospective vendors. These are meant to be used as a starting point in creating a set of requirements. They can also serve to guide your development of a request for proposals (RFP).

1. Database Size

First, consider the size of your customer database.

The number of contacts you have is where you should start. If you only have 10,000 contacts in your database, even a popular platform like Salesforce or Marketo might be too advanced. Similarly, while Mailchimp offers plans for upwards of a million contacts, a full-stack enterprise level tool such as Adobe or Emarsys will offer you more sophisticated capabilities and enable you to build a more complex customer profile.

2. Likely Users

It’s very important to think about the employees who will be using the platform, and how they will work with others.

If you’re a B2B company, and you need to have a high level of coordination between your marketing and sales teams, a platform that includes a customer relationship management (CRM) system such as Salesforce, HubSpot or Marketo can help you tighten your sales and marketing cycle. For example, your sales team may want to contact potential customers who engage with a particular email campaign or landing page. With a CRM system, you can create a workflow that directly notifies your sales team after a customer engagement.

However, if you’re a B2C company with a large digital marketing team, and you need to coordinate personalized promotions across web, email and digital ads, a platform built specifically for digital campaign creation and customer profile management such as Adobe, Emarsys or SAP will be a stronger fit.

Related Article: Diving Headlong Into Marketing Automation? Slow Down

3. What You Need to Accomplish

The next step is to identify your priorities and decide what you need a marketing automation platform to do.

Marketing automation tools range from packages that focus specifically on email engagement to full-scale enterprise-level marketing suites that allow you collect data from first-party, second-party and third-party data sources and develop personalized messages that can appear on any number of platforms — from your own website to email messages, social networks and third-party ads. Start by outlining the specific marketing features and integrations that you need your platform to have. That list might include the following:

  • Email marketing.
  • A/B and multivariate testing.
  • Campaign sequencing and triggers.
  • Optimization and personalization.
  • Dynamic content.
  • Social media, SSP and ecommerce integrations.
  • Retargeting.
  • Text message marketing.
  • Landing pages.
  • If you find that you’re using an automation tool to engage mainly across the email and social channels, a tool built specifically for B2B organizations, such as Marketo or Hubspot, might be better for you than a tool with more advanced capabilities, such as the Adobe Marketing Cloud or IBM Watson Campaign Automation.

    Related Article: Step Up Your Marketing Automation Game

    4. Ease of Integration

    Now you need to think about whether the automation tool will integrate easily with your existing systems, such as your content management system (CMS), your CRM system and your data management and analytics tools. Some platforms offer prebuilt integrations with WordPress, Google Analytics and the Salesforce Sales Cloud, making it easier to create campaigns based on users’ website behavior and demographic characteristics, or where they are in the sales funnel. Others require custom development work to integrate data from other platforms.

    5. Reporting Features

    Today’s marketing automation platforms offer an ever-expanding array of digital marketing features, but often their reporting capabilities still lag behind. Therefore, it is important to determine what level of reporting is available within the platforms you’re thinking of purchasing.

    What dashboards are available within the platform that can help you monitor your campaign performance? Is it easy to distinguish between one version of a multivariate campaign and another? Can you create reports based on age, demographics and geography? Are you able to identify the number, percentage and spending totals of customers who make purchases, as well as what they buy, after opening a campaign?

    6. Artificial Intelligence Capabilities

    Another important point to consider is whether a platform’s AI capabilities live up to the vendor hype.

    In the past few years, a variety of vendors, including Salesforce, Mailchimp, IBM and Adobe, have come out with AI-driven features that that are designed to deliver predictions and recommendations based on your customer data. However, users of Salesforce’s Einstein as well as IBM’s Watson have reported that these features are still immature.

    7. Setup, Usability and Support

    Before buying anything, you should determine how much effort it will take to set up and use the platform. You also need to find out what kind of customer support the vendor offers.

    Often, ease of use trumps advanced technological capabilities when it comes to determining whether a marketing automation platform will work for your company. It doesn’t matter if the platform has a zillion features — if your team can’t figure out how to use it, or has difficulty integrating it with existing platforms, then it won’t be a success.

    To get an idea of how easy or difficult a system is to set up and use, you should read online reviews and ask the vendor for references. And be sure to ask the vendor these questions:

  • What custom work will need to be done to integrate the automation platform with their existing systems, such as their analytics platform, their CMS and their CRM system?
  • What kind of user training can you provide? Will it need to be purchased separately?
  • During what hours and on which channels is customer service available? How long does it typically take to answer questions and solve problems?
  • Do you have a dedicated employee or an assigned team to provide customer support?
  • Don’t Take ‘Yes’ for an Answer

    Arming yourself with knowledge of how your people will need to use a marketing automation system in advance of your search will make it easier to narrow your choices down to a platform that is right for your business. You should prioritize ease of use, adaption time, customer support, who will need to use it, and your existing use cases over “nice to have” features.

    Here’s one last piece of advice: When you ask for a response to an RFP, you should ask vendors to describe how they provide certain features — as opposed to just asking whether they offer them at all. Vendors will always say yes to a requested feature. Asking how they provide the feature provides you with insight into whether or not the platform will function as you want and expect it to.

    Alisa is the marketing manager at MaassMedia, a boutique digital analytics firm based in Philadelphia. She has extensive experience creating digital strategies for companies in the technology, financial, consulting, manufacturing, education and non-profit industries.


    Enterprise Blockchain: Key Use Cases | killexams.com real questions and Pass4sure dumps

    Enterprise Blockchain Use Cases: Licensed from Adobe Stock Overview

    In a previous article: Enterprise Blockchain Has Arrived, I listed a number of key blockchain use cases that are gaining acceptance in enterprises. Since that article my company DoubleNova Group has been approached by many executives, investors, and startups who are looking for more information and clarity on key enterprise use cases.

    This article details 3 key sectors that are gaining traction plus their important associated use cases. It was co-developed with my colleague Radhika Iyengar-Emens of DoubleNova Group. The content draws heavily on their experience advising relevant blockchain companies or collaborating with hands-on subject matter experts. The sectors and use cases are:

    Supply Chain Management

    · Product traceability (Track & Trace)

    · Product provenance & authenticity

    Healthcare

    · Fighting Counterfeit Drugs

    · Electronic Health Records (EHR) Interoperability

    Financial Services

    · Cross Border Payments

    · Supply Chain Financing

    For each sector, they examine the industry, its key challenges, and then how blockchain and distributed ledger technologies (DLT) can provide innovative and powerful solutions. First though, they discuss centralized processes in the enterprise ecosystem as a counterpoint to the new decentralized systems.

    Centralization in the Enterprise

    Most enterprise-grade software infrastructures are centralized systems that provide services within a single company, primarily to its employees. These systems may also provide restricted access between a company and its direct partners or vendors. For example, most large companies have an enterprise resource planning (ERP) system which integrates all their major business functions such as procurement, sales, HR, accounting, governance, etc. to enable more efficient operations. Though internally integrated, ERP systems are very challenging and expensive to integrate with other systems.

    Centralized Architecture: Licensed from Adobe Stock

    There are many other centralized enterprise software platforms like customer relationship management (CRM), ecommerce systems, content management systems (CMS), business intelligence (BI), marketing automation software, etc. that help companies automate and streamline many important business functions. In healthcare, providers also make use of centralized electronic health records (EHR) systems to track patient information. All these various systems are typically hosted under centralized public, hybrid or private cloud architectures. Integration of different enterprise software systems within a company or across companies can be complex and costly, so many systems become silos of data and functionality.

    Data sharing across an ecosystem, be it in healthcare, supply chain, or finance is very important for improved productivity, so each sector has developed centralized solutions to span their ecosystems. When spanning an ecosystem, data sharing invariably links competitive groups. This reality plus the need to maintain trust, protect against hacking, and improve interoperability has led to two main types of solutions. Government-mediated centralized solutions are more common in regulated industries such as banking, financial services, and healthcare. Single company mediated centralized solutions are more common in more unregulated industries like supply chain and logistics.

    Here’s a quick overview of some examples of centralized ecosystem-level infrastructures that are currently in place:

    Supply Chain/Logistics: The two largest names in retail in the US are Walmart for brick and mortar ($500B in revenue) and Amazon for online ($178B in revenue, 40%+ of online orders). Both giants have the most efficient and technologically sophisticated supply chains that are actively studied by the entire industry. To provide process transparency and control and drive down costs and shipment time, both leaders have centralized and own the majority of their logistics and warehouse infrastructure. For example, Amazon has invested billions of dollars to build hundreds of fulfillment and sorting centers (warehouses), has deployed tens of thousands of robots, and has built out a fleet of planes and delivery trucks. Both Amazon and Walmart have developed their own centralized custom supply chain software and mobile apps and employ hundreds of thousands of employees to operate their supply chain and logistics infrastructure.

    Healthcare: In many countries, patient health records are being or have been converted to electronic form and stored in electronic health record (EHR) systems. Despite interoperability standards to promote more data sharing, few if any of these systems can successfully communicate with each other. As a result, government-backed health information exchanges (HIEs) have been funded and set up to create a centralized repository of patient records at the community, state, regional, and/or country level. Some HIEs are federated, meaning that they maintain the data in a decentralized fashion, others hybrid, however, today most are centralized. Building a country-spanning, centralized HIE infrastructure is a slow process and for the US a goal of 2024 has been set by the government for the development of a basic interoperable health IT infrastructure. Global systems are also migrating to decentralized models, and hybrid models (centralized and decentralized combined models) are expected to grow the fastest through 2024.

    Financial Services/Banking: The banking sector in each country is generally overseen by a central bank which is often controlled by the State government. The central bank sets monetary policy, regulates the banking system, acts as a central clearing house for transactions, and holds national and international currency reserves. In the financial services sector securities transactions are typically mediated by centralized clearing houses. Clearing houses act as an intermediary to securities transactions to clear and settle the transaction, regulate delivery of the instruments bought or sold, report trading information, and reduce counterparty risk (options/derivatives). In the US most securities transactions go through a process of settlement and reconciliation mediated by the clearing houses which generally takes 2 days (T+2).

    Some of the main challenges with these large centralized systems include:

    · Need for trusted intermediaries

    · High costs

    · Multiple versions of the ‘truth’

    · Need for record matching or reconciliation

    · Single point of failure

    These points will be explained in more detail in the specific use cases below.

    Blockchain in the Enterprise

    Enterprise blockchains are typically permissioned systems in which only known partners are part of the network. This is different from public blockchains (like Bitcoin or Ethereum) in which nodes are anonymous and all information is publicly available. This approach is generally required by corporations because they do not want to share their confidential information with unknown third parties.

    Enterprise Blockchain: Licensed from Adobe Stock

    Permissioned blockchain systems enable trusted peer to peer transactions and distribute transaction data across a network so that all authorized players see the same information. While centralized systems are optimized for single players, decentralized blockchain systems are optimized for working across an ecosystem. Decentralized systems, by their very nature, require a community of many players in order to be useful and maximize their capabilities. Key benefits include:

    · No need for trusted intermediaries

    · More cost effective

    · No need for costly record matching or reconciliation

    · Reduction in hacking risk

    These benefits result in an important paradigm shift when industry groups decide to adopt blockchain technology. The key industry players often band together in a consortium, not just to develop a standard, but actually to work together and share information. What is fascinating is that competitors in the consortium agree to open their centralized software infrastructures to one another in an unprecedented manner. Today there are over 100 blockchain consortia, including:

    · Enterprise Ethereum Alliance (EEA): 500 members including Cisco, Accenture, Bancor, Consensys, Intel, HP Enterprise, J.P. Morgan, NTT Data, Microsoft, Pfizer, Samsung

    · We.Trade (Trade Finance): 9 key banks including HSBC, Deutsche Bank, UniCredit, Rabobank, KBC, Natixis, Nordea, Santander and Société Générale

    · R3 Fintech Consortium: 200 members including Barclays, Bank of America, Citibank, Morgan Stanley, Goldman Sachs, J.P. Morgan, Credit Suisse, and UBS

    · Blockchain in Transport Alliance (BiTA): 300+ members including UPS, FedEx, JD.com/JD Logistics, SAP, Google, Daimler, Salesforce, GE Transportation, P&G, HP, Hitachi, Microsoft

    · Hyperledger: 200+ members including IBM, SAP, J.P. Morgan, TradeShift, NEC, Cisco, Accenture, American Express, Baidu, Deutsche Bank, Daimler, Aetna, Lenovo, Oracle

    The enterprise ecosystem has deployed thousands of pilots over the last few years. Many real-world live deployments are projected for 2019. The following sections review key applications and use cases of enterprise blockchain technology.

    Key Use Cases Supply Chain Management (SCM)

    Global supply chains are responsible for the creation and distribution of most products that are manufactured today. Some of the most complex supply chains, for example for cars or airplanes, include hundreds of thousands of individual parts and span thousands or tens of thousands of companies. The total value of all products in supply chains is currently valued at 2/3 of Global GDP annually (>$50 Trillion).

    Supply Chain Management: Licensed from Adobe Stock

    The key actors in supply chains include materials providers, suppliers, logistics providers, manufacturers, warehouse managers, distributors, and end customers. Each of these actors usually stores its own information in an ERP system. These ERP systems are rarely linked with the other actors due to privacy and security concerns. Each actor usually only has information about the group just before and just after their step in the chain. As a result, data across the supply chain is fragmented and siloed so each stakeholder has little visibility to the overall state of the chain.

    Not only is data siloed within the chain, but also data quality, accuracy and integrity are not optimized. Many ERP systems copy information from spreadsheets or rely on data entry from paper-based systems which is error-prone and unsupervised. Each hand-off in the supply chain rarely institutes checks on products or information. Ports, for example, are a well-known weak point. The result is that data within centralized supply chain systems is often unreliable and can be easily compromised or hacked by bad actors. The total value of counterfeit products within supply chains is projected to exceed $2 trillion by 2022.

    As noted earlier, the largest US supply chain players (i.e. Amazon and Walmart) have spent many billions of dollars to internalize the entire logistics chain and apply custom technology solutions so that they can cope with the challenges above. This approach, however, is untenable for most players as the capital and operational costs are too high. Supply chain players can embrace enterprise blockchains as they provide a much lower cost solution to the same challenges.

    Enterprise blockchains provide:

    · A secure shared ledger that can provide visibility across the whole supply chain

    · Smart contracts to enforce agreements and validate data for each transaction

    · Accurate, immutable information that makes it possible to quickly find bad actors

    The business case for blockchain is clear: higher revenues, lower costs, more efficient processes, reduced fraud, plus elimination of bad actors.

    Key Blockchain Use Cases for Supply Chain

    As noted above, permissioned blockchain systems can provide visibility and better data across supply chains. Common applications include:

    · Product traceability

    · Product provenance & authenticity

    · Process transparency

    Let’s look at each in turn.

    Product Traceability

    The ability to quickly find the origin of a product is important in different contexts. For example, consider food traceability. Mass food disease outbreaks from foods infected with Salmonella, E. coli, Listeria, or parasites generally create widespread panic. Food scares can lead to huge losses for food producers and distributors when specific products (i.e. spinach, lettuce, beef, etc.) are pulled from shelves en masse and destroyed both in store and back at the farm. As many food-borne illnesses are eventually traced back to a single farm or even a single batch of product, finding the source of contamination quickly can save millions of dollars.

    With current supply chain systems, food traceability often takes a week or more since data is fragmented and siloed and each part of the supply chain needs to be contacted directly. A week may seem like a short time, but as the media reports on illnesses and deaths mount, retailers and farmers are forced to destroy products quickly to regain consumer confidence. US food safety outbreaks lead to 48 million illnesses, 300,000 hospitalizations and 5000 deaths annually. They also cost the US economy more than $93 billion each year. Globally the numbers are much larger, 600 million illnesses and 420,000 deaths annually from food contamination. Smaller retailers and farmers are especially hard hit since they have to absorb the losses and some are usually forced into bankruptcy.

    As noted above, blockchain-based supply chain systems can provide an accurate and immutable record of all transactions across the chain. These systems assign a unique ID and unhackable decentralized tagging system that tracks food at the batch or lot number. Often the unique ID is based on a global standard to ensure that all stakeholders are using the same approach for identifying their products. Since all nodes have access to this record, traceability becomes routine.

    Pilots with Walmart and other large food retailers have already demonstrated that blockchain-based systems can determine the origin of a package of food in seconds or minutes (IBM Food Trust), as opposed to 6–7 days under current systems. Since these blockchain-based systems can rapidly find the source of food safety outbreaks they provide the opportunity to greatly reduce the scale of food borne illnesses and related supply chain economic losses.

    Product Provenance & Authenticity

    As noted above, the global counterfeit goods market is a multi-trillion dollar problem, and growing larger. A significant fraction of this number is fake luxury goods — the well-known brands behind handbags, high end clothes, and accessories. Many people who purchase counterfeit branded products may not be aware that the products are fake, because they may purchase them through reputable web sites, outlet stores, or replicas of the retailer’s or manufacturer’s web site.

    In today’s supply chain systems there is no simple way to track the provenance and authenticity of a product. More sophisticated centralized systems, such as EPCglobal, have used barcodes, unique electronic product codes (EPC), and RFID technology to track items through the supply chain. These systems, however, rely on centralized certificate authorities and centralized databases and so are fundamentally insecure since they have single points of failure that make them susceptible to hacking risk.

    Decentralized and ultra-secure blockchain systems allow product tracking to its origin (authenticity) and through every step of the supply chain (traceability). Building on this foundation, a number of blockchain projects plan to use Decentralized Apps (DApps) that use information in the supply chain to authenticate that a product, such as a luxury good, is in fact authentic. The DApp enables a user to scan a QR code on the product which provides a full trace and validation of the product’s authenticity.

    Such an approach tracks the product or a product’s components through every step in the chain, for example via an embedded RFID or NFC chip. At each step in the chain, the RFID chip is scanned, a smart contract is executed, and then multiple trusted nodes verify the information is correct before it is written to the blockchain ledger. Each entry in the blockchain ledger is cryptographically signed and encrypted which deters fraud and reduces the chance of hacking. Since the entire supply chain process becomes transparent, it becomes possible to quickly and inexpensively validate product authenticity. Any product that doesn’t enable DApp-based authenticity then becomes suspect which disincentivizes fraud.

    Provenance takes authenticity one step further by also providing information about the entire history of a product through the supply chain. So, for example, the location history, the custody history, and the environmental conditions during the journey can be tracked and stored immutably on the blockchain. This type of information — GPS coordinates, custody IDs, temperature data, accelerometer information (for damage assessment) — is typically provided by Internet of Things (IoT) devices. These devices send out data streams that in combination with decentralized consensus are then written to the blockchain. Since blockchain technology reduces verification costs it will likely gain widespread adoption and so make checking product authenticity and provenance commonplace.

    A significant growth area is tracking of temperature for products in a temperature controlled supply chain or ‘cold chain’. Perishable products like food or medicine often need to be refrigerated and freshness or viability can be impacted by temperature swings. A significant fraction of food and medicine is spoiled during shipment due to intentional or accidental conditions that warm the product above recommended or agreed ‘cold chain’ temperatures. IoT devices can continuously measure temperature and store the log, via a hash on the blockchain. This log then provides an immutable and independent temperature record that can be used for enforcing accountability and understanding conditions that led to spoilage or damage.

    Other use cases can include verification of specialty crop certifications (i.e. fair trade, organic), origin and authenticity of high value goods (i.e. diamonds, precious metals, luxury goods, etc.), conflict-free designation (i.e. NOT blood diamonds or using child labor), and provenance/authenticity of medical drugs (i.e. pharmaceuticals — covered below in the healthcare section).

    Healthcare

    Most developed countries in the world spend approximately 10% of GDP on healthcare. Despite great advances in medical technology, many studies have shown that the US healthcare system is one of the most inefficient in the world. The US healthcare system has the highest annual spending ($3 trillion) yet is one of the poorest in health outcomes when ranked against the rest of the developed world. Other global, system-wide issues in healthcare include hundreds of billions of dollars annually in medical fraud and counterfeit prescription drugs.

    Inefficient Healthcare: Licensed from Adobe Stock

    The high levels of inefficiency and fraud in healthcare systems arise from lack of data and process transparency, pervasive vulnerability to hacking, and data siloing in organizations. As noted previously, permissioned enterprise blockchain systems are ideal for spanning ecosystems to increase data and process transparency, reduce hacking, and improve data sharing between organizations. As a result, there is a strong conceptual fit between enterprise blockchain and the type of solutions needed for the healthcare ecosystem.

    Now let’s take a look at some of the most important and pressing use cases.

    Fighting Counterfeit Drugs

    The global pharmaceuticals industry is big business, valued annually at $1.1 trillion. Pharmaceutical companies spend tens of billions of dollars and go through an arduous process to produce and commercialize prescription drugs. With the global counterfeit drug market valued at $200 billion annually, there is a clear motivation in the pharma sector to fight counterfeiting. What is also at stake are human lives, with adverse reactions and effects to these fake drugs, which can lead to death. In certain parts of the world, up to 50% of the drugs are counterfeit.

    Counterfeit Drugs: Licensed from Adobe Stock

    In emerging markets, 10%-30% of prescription drugs are counterfeit, with issues ranging from tampered drugs to drugs with incorrect ingredients or incorrect proportions of ingredients. Most of the counterfeit drugs are being produced in China and India but sold worldwide. A very relevant example of this type of fraud, is the recent (July 2018) China vaccine scandal where a government vaccination program was found to have administered hundreds of thousands of faulty vaccines to young children.

    At the root of global pharmaceutical fraud is a supply chain transparency and product authenticity problem. Without transparency in the supply chain it is very difficult to pinpoint the origin of the fraud, identify the bad actors who perpetrated the crime, or verify product authenticity. What is needed is for the entire process, from production to quality assurance to distribution, to be secured in an unhackable database with each entry cryptographically signed and encrypted. This capability and its resulting transparency is exactly what blockchain technology provides.

    Like in the case of food (above), the blockchain ledger can provide transparency end-to-end for drug production and distribution, including visibility into every stage of the supply chain. The implications of this level of detail are enormous. Not only does blockchain technology improve the traceability of prescription drugs in the supply chain, it can also ensure that international standards are upheld, such as GDP (Good Distribution Practices), ensuring the integrity and quality of the medication for the end user. Additionally, it will also be much more difficult for bad actors to tamper with the process or for pharma companies themselves to market fraudulent products.

    It is for this reason that the blockchain community in China has called for placing all vaccine data on a transparent blockchain system to return consumer trust. With such a system in place, healthcare professionals or pharmacists could scan a QR code on the product to ascertain authenticity and/or the dosage of the active ingredients.

    Electronic Health Records Interoperability (EHR)

    Electronic Health Record (EHR) systems were created to produce better patient health outcomes by providing complete patient medical information at the point of care. In a previous article, Blockchain in Healthcare: A Data-Centric Perspective, they illustrated how EHR systems are fundamentally broken since healthcare data continues to be siloed and interoperability remains a huge challenge.

    One of the main reasons that health systems are inefficient is that doctors and nurses often lack patient historical health information when diagnosing a patient. Each patient’s health records are typically splintered across many EHR systems, or even antiquated paper records, and scattered across different providers (i.e. doctors, specialists, hospitals, labs, clinics, etc.). Since these systems are rarely interoperable, the patient’s records are inaccessible. Generally, the lack of medical context and the lack of continuity in a patient’s health record, exacerbated by delays in obtaining relevant information from other providers, means that doctors cannot efficiently and fully treat a patient other than for symptoms being presented. This can be a life threatening set of circumstances in emergency situations.

    As noted above, Health Information Exchanges (HIEs), were conceived as the solution to these issues, with the expectation that sharing relevant patient information would provide the missing context in a patient’s health history, however the reality has been quite different. In the US, HIEs do not operate across state lines, and few systems work across country borders. In their increasingly mobile behavior, the urban population is less likely to be in one place for their life span. As most HIEs contain only a small portion of a patient’s medical record, it is time-consuming and expensive to access all the information and migrate it to a unified system. Current centralized models are expected to migrate to decentralized models by 2024.

    Enterprise blockchain technology can create the missing interoperability links unifying healthcare systems so that data can be shared quickly and seamlessly across providers. The concept is that all providers would join a network of permissioned blockchains that would enable them to retain control of their data, while being able to share requested patient information to another authorized provider. This is in essence a decentralized HIE that would use smart contracts, the immutable ledger, and blockchain security to create a higher level of trust between participants leading to faster adoption.

    Banking/Financial Services

    The banking and financial services sectors, especially fintech, were the first areas to adopt blockchain technology. They are clearly massive sectors that deal with vast quantities of the world’s money. Electronic money transfers that move through the US exceed $2.5 quadrillion per year or nearly $10 trillion per day. Stock market capitalization is nearly $70 trillion across the 60 largest stock markets.

    Money: Licensed from Adobe Stock

    Key challenges in these sectors include:

    · Slow payment processing

    · High fees

    · Lack of transparency

    · Lack of liquidity

    Let’s look at three use cases where these issues are exemplified and how enterprise blockchains can provide solutions.

    Cross Border Payments

    Trillions of dollars of cross-border payments take place every day. Consider a pharmaceuticals company in Colombia that wants to pay a marketing firm in Chile via a wire transfer. The system works through a system of correspondent banking relationships plus centralized messaging systems known as SWIFT (Society for Worldwide Interbank Financial Telecommunication), Fedwire, and/or CHIPS (Clearing House Interbank Payments System).

    Since the banks for the pharmaceutical company and the marketing company may not have a direct relationship, there are many intermediaries needed to process the transaction, which becomes complex and fees add up quickly. In the best of cases this type of complex transaction may process in 3–5 business days, but if you include holidays and weekends spanning multiple countries, the transaction may take 1–2 weeks to complete.

    Enterprise blockchain solutions enable banks without an existing trusted relationship to send electronic transfers to each other directly without the need for intermediaries. Today more than 90% of large banks are piloting blockchain systems and cross-border payments is one of the primary use cases.

    Live blockchain enabled production systems and many pilots have shown that transfer times can complete in minutes at a fraction of the cost of current systems. The goal is to make cross border transfers as fast as email between most major countries. One of the outstanding challenges which has not yet been overcome is the acceptance and adoption of digital currencies universally to ensure that settlement happens quickly and transparently.

    Supply Chain Financing

    During the course of normal operations, small and midsize businesses (SMB) within supply chains may suffer from significant cashflow shortfalls. A common cause is that a business receives a large order for goods but has insufficient funds to purchase components or services from other businesses to fulfill the order. Another case is that the SMB fulfills the order but then due to long invoice payment terms cannot meet its own operational financial obligations and cannot fulfill other orders. These scenarios are significant real-world problem for many enterprises as it is projected that there are trillions of dollars of goods recorded on corporate balance sheets that will never be delivered.

    Supply Chain Financing: Licensed from Adobe Stock

    In many instances, SMB suppliers or providers in enterprise supply chains may turn to banks or lenders for purchase order financing or invoice financing to cover their cash shortfall. In purchase order (PO) financing a business receives the majority of the PO value upfront, minus fees, so that it can fulfill the order. In invoice financing a business receives a short-term line of credit equal to 70–90% of the face value of the invoice as immediate cash. In nearly 50% of instances, however, banks reject these financing requests since they often do not have a trusted relationship with the SMB or its trading partners and cannot qualify the risk.

    In a blockchain-based supply chain the ledger can provide secure and immutable evidence regarding the validity of the PO or invoice as well as information about the trading partners, letters of credit, bills of lading, and other trade instruments. It can also validate that the SMB has not offered the PO or invoice to other parties for financing. The blockchain-based system can use smart contracts that trigger payments to the lender based on specific agreed milestones. Such a system enables banks and other lenders to quantify and qualify their risk, while helping enterprises to fulfill critical supply chain transactions, overcoming the major problems in today’s centralized systems.

    Conclusion

    Enterprise blockchain systems are uniquely positioned to create valuable solutions for significant challenges in supply chain, healthcare, and financial/banking ecosystems globally. These decentralized, ultra-secure systems make perfect business sense since they can increase revenues, decrease costs, increase efficiency, and deter bad actors. It is projected that enterprise blockchain solutions for the sectors covered in this article will begin initial deployments by Q4 2018. They believe the solutions will be deployed in each sector in the order that they have presented.

    We are confident that 2019 will see a significant increase in enterprise blockchain adoption on a global basis. They also project that blockchain technology will be combined with AI and IoT systems to create ultra-secure and smart infrastructures. They believe that current scalability in permissioned systems is sufficient for initial deployments and will foster increased investment in enterprise blockchain.

    Acknowledgements: Thanks to Radhika Iyengar-Emens, my colleague at DoubleNova Group, for her contributions.

    Copyright DoubleNova Group/Paradigms Consulting Group 2018



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