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A2040-985 Assessment: Developing IBM Lotus Notes and Domino 8.5 Applications

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A2040-985 exam Dumps Source : Assessment: Developing IBM Lotus Notes and Domino 8.5 Applications

Test Code : A2040-985
Test Name : Assessment: Developing IBM Lotus Notes and Domino 8.5 Applications
Vendor Name : IBM
: 299 Real Questions

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IBM Assessment: Developing IBM Lotus

Talevation Expands Strategic Partnership with IBM; raises Assessments choices and provides IBM Watson AI | Real Questions and Pass4sure dumps

Talevation® has elevated their ability Assessments Platform (tap)™ to over seven-hundred on-line ability assessments. tap is Talevation’s cloud-primarily based, application-as-a-service (SaaS) digital market, where clients can self-buy and self-administer (in a non-public and comfy manner) validated abilities and behavioral talent assessments throughout a vast latitude of job titles, classifications and behavioral criteria. With the volume of skill assessments now attainable, Talevation also multiplied their strategic partnership with IBM®, and has now included IBM Watson™ AI, to aid e-book clients in determining the appropriate assessments, for his or her entertaining cases.

This press free up elements multimedia. View the entire unencumber right here:

Scott Abbott, Talevation Managing partner noted, “as a result of they now have such an expansive portfolio of skill assessments - and that average key phrase search offers confined results - they expected that users can also have issue landing on the best evaluation(s) or be aware of exactly which assessments to take. In response, they constructed a chatbot named TAPbot™, that makes use of IBM Watson capabilities to bring a guided experience. for example, TAPbot may suggest taking the ‘information mining concepts’ evaluation, when the consumer searches for ‘artificial intelligence’. Or for a selected skills assessment, TAPbot may additionally recommend definite behavioral assessments, to enhance their potential. These linked but distinctive assessments could be ones their user didn't firstly trust. Such self-discovery and help, is at the heart of the faucet journey.”

in addition to IBM Kenexa determine on Cloud™ and IBM Watson, faucet leverages different products and services from the IBM Cloud™, including: Alert Notification, API connect, Assistant,Availability Monitoring, certificate supervisor, Cloudant, Cloud Foundry, Cloud capabilities, Cloud Object Storage,continual beginning, Discovery, herbal Language figuring out.

introduced Abbott, “tap provides the most huge and finished portfolio of self-carrier talent assessments available in the market today. And with the contemporary addition of tap U!, their profession capabilities program for colleges, students and recent or soon-to-be graduates - we're excited that tap can support millions of people earn, advance and maintain rewarding employment.”

About Talevation: Headquartered in Carmel, IN - Talevation partners with IBM and IBM’s Kenexa skill Assessments - to supply over 1,000 abilities and behavioral skill assessments used to determine, frame, validate, measure, prove and substantiate the healthy and proficiency of advantage and latest employees. Talevation helps people and corporations of all sizes, take the guesswork out of their ability choices: from hiring the appropriate americans, to career construction, and employee engagement. Talevation supports four,000+ commercial enterprise places, which at the same time administer over a million particular person talents and behavioral assessments, per month.

For counsel about tap and Talevation, discuss with

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IBM to help Utilities cut Tree Trimming Budgets and reduce Outages | Real Questions and Pass4sure dumps

IBM unveiled new know-how to in the reduction of vigour outages via helping power businesses predict where bushes and different vegetation may additionally threaten energy strains. IBM labored with Oncor, the largest utility enterprise in Texas and the fifth largest in the u.s., to advance an answer tailor-made for the power and utility industry, to aid increase operations and provide official electric provider for millions of shoppers across the state.

The weather business Vegetation management - Predict is built on IBM PAIRS Geoscope, a expertise developed through IBM research.The device immediately techniques big, complex geospatial and time-based mostly datasets accrued by means of satellites, drones, aerial flights, millions of IoT sensors and climate models.

The resulting insights can help agencies like Oncor to monitor vegetation increase across their whole provider territory, enabling them to more desirable establish and predict talents infringement with energy traces. companies can greater proactively and accurately plan for preventive protection and fast response, focusing crews in the optimum-priority areas and validating that imperative trimming was achieved as anticipated.

"electrical energy is an essential part of their lives, and thousands and thousands of Texans depend on Oncor every day. Vegetation poses a significant chance to power traces and the surrounding areas, however monitoring it is a challenging and time-consuming system," says Peter Stoltman, vegetation management software manager, Oncor. "by way of working with IBM, they are able to use analytics and AI to prioritize excessive-risk areas. This helps us adapt renovation operations to enrich public defense and repair reliability."

Vegetation is a leading reason behind service interruption for utility corporations. With natural approaches, the basic insight into skills hazards involves expensive on-site inspections or realizing the remaining time an area changed into trimmed. With this new answer, a whole bunch of miles of transmission and distribution traces could be regularly monitored to deliver continual perception concerning the state of increase and renovation. apart from assisting identify and predict outage threats, geospatial-temporal insights can aid with typical grid reliability and compliance, wildfire prevention, storm management and evaluation.

“Our utilities clients told us that getting distinctive perception into the state of vegetation across their service territory was a key challenge,” says Mahesh Sudhakaran, chief digital officer of IBM power, ambiance and Utilities. "by way of combining PAIRS with AI and business knowledge, they can give customers one built-in answer, delivered via IBM Hybrid Cloud, to help them predict and manipulate vegetation in a value-effective and clever means.”

“every business is littered with weather. however for energy organizations and their consumers, it may mean the change between no matter if they can preserve the lights on and heat their buildings,” says Cameron Clayton, IBM’s regular manager of Watson Media and climate. “The potential to layer weather records with satellite and sensor records offers utility businesses potent new insights to assist them improve operations and minimize impact on their consumers.”

PAIRS Geoscope ingests more than 10 terabytes of new information per day and has already served more than 15 million requests from greater than four,000 researchers, information scientists and developers in eighty nations. It gets rid of the labor-intensive method of generating insights from geospatial-temporal facts, which is universal for its sheer measurement and complexity. The inability to access, question and analyze this class of massive facts in a scalable manner is the purpose it turned into lengthy regarded unsearchable information. IBM scientists invented a new method to run and analyze advanced queries inside minutes as a substitute of weeks or months, making previously inconceivable insights now a truth.

PAIRS Geoscope is often attainable for distinct industries and use circumstances. moreover Vegetation management - Predict, PAIRS is additionally the underlying know-how for Watson resolution Platform for Agriculture, a collection of agribusiness tools that uses the vigor of AI and geospatial records to help farmers make extra informed selections about their plants.

For more assistance, view the net website. 

IBM Used NYPD Surveillance pictures to boost technology That Lets Police Search via epidermis color | Real Questions and Pass4sure dumps

in the decade after the 9/eleven assaults, the manhattan metropolis Police department moved to position millions of latest Yorkers under consistent watch. Warning of terrorism threats, the department created a plan to carpet big apple’s downtown streets with thousands of cameras and had, by way of 2008, centralized its video surveillance operations to a single command center. Two years later, the NYPD introduced that the command middle, ordinary because the lessen long island safety Coordination center, had built-in slicing-facet video analytics utility into choose cameras throughout the city.

The video analytics application captured stills of individuals caught on closed-circuit tv photos and instantly labeled the photos with physical tags, reminiscent of clothing colour, permitting police to straight away search through hours of video for photographs of people matching an outline of activity. on the time, the utility changed into additionally starting to generate signals for unattended applications, automobiles speeding up a highway in the wrong route, or americans getting into limited areas.

over the years, the NYPD has shared most effective occasional, small updates on the program’s progress. In a 2011 interview with Scientific American, as an instance, Inspector Salvatore DiPace, then commanding officer of the reduce manhattan safety Initiative, referred to the police department changed into testing no matter if the utility may container out photographs of individuals’s faces as they passed with the aid of subway cameras and in consequence cull through the pictures for a lot of unspecified “facial features.”

while facial focus know-how, which measures particular person faces at over sixteen,000 elements for excellent-grained comparisons with other facial images, has attracted big felony scrutiny and media consideration, this object identification application has mostly refrained from consideration. How precisely this technology came to be developed and which selected features the application changed into developed to catalog have by no means been revealed publicly by the NYPD.

Now, because of confidential company files and interviews with most of the technologists worried in setting up the utility, The Intercept and the Investigative Fund have realized that IBM started constructing this object identification know-how the use of secret entry to NYPD digicam photos. With entry to pictures of heaps of unknowing New Yorkers provided up by way of NYPD officers, as early as 2012, IBM become growing new search aspects that permit different police departments to look camera footage for photographs of individuals with the aid of hair color, facial hair, and dermis tone.

IBM declined to touch upon its use of NYPD photos to develop the application. although, in an email response to questions, the NYPD did inform The Intercept that “Video, once in a while, became supplied to IBM to make sure that the product they have been setting up would work within the crowded urban NYC ambiance and help us give protection to the metropolis. there is nothing in the NYPD’s settlement with IBM that prohibits sharing statistics with IBM for system development applications. additional, all companies who enter into contractual agreements with the NYPD have absolutely the requirement to maintain all records furnished through the NYPD personal right through the time period of the settlement, after the completion of the contract, and in the experience that the agreement is terminated.”

In an electronic mail to The Intercept, the NYPD established that select counterterrorism officials had entry to a pre-released edition of IBM’s software, which covered epidermis tone search capabilities, as early because the summer time of 2012. NYPD spokesperson Peter Donald pointed out the quest traits had been best used for comparison purposes and that officers have been prompt no longer to include the skin tone search function in their evaluation. The department eventually decided now not to integrate the analytics application into its bigger surveillance architecture, and phased out the IBM software in 2016.

After checking out out these bodily search points with the NYPD, IBM launched some of these capabilities in a 2013 product liberate. Later types of IBM’s software retained and improved these bodily search capabilities. (IBM did not respond to a question concerning the present availability of its video analytics classes.)

asked in regards to the secrecy of this collaboration, the NYPD mentioned that  “quite a lot of elected leaders and stakeholders” have been briefed on the department’s efforts “to retain this city secure,” adding that sharing digicam access with IBM became imperative for the equipment to work. IBM didn't reply to a question about why the enterprise didn’t make this collaboration public. Donald stated IBM gave the branch licenses to apply the equipment to 512 cameras, but mentioned the analytics have been proven on “fewer than fifty.” He brought that IBM personnel had entry to certain cameras for the only real goal of configuring NYPD’s gadget, and that the department put safeguards in place to give protection to the information, including “non-disclosure agreements for each individual gaining access to the gadget; non-disclosure agreements for the companies the vendors labored for; and background exams.”

Civil liberties advocates contend that New Yorkers may still were made privy to the skills use of their actual records for a non-public company’s building of surveillance expertise. The revelations come as a city council bill that could require NYPD transparency about surveillance acquisitions continues to languish, due, partially, to outspoken opposition from long island metropolis Mayor bill de Blasio and the NYPD.

A rare look inside the New York Police Department's lower Manhattan security center, where cops monitor surveillance cameras, environmental sensors and license plate readers around the clock. Mayor Michael Bloomberg and Police Commissioner Ray Kelly announced that subway cameras are also being monitored in the center -- officially called The Lower Manhattan Security Coordination Center. Modeled after London's "Ring of Steel," the NYPD opened its coordination center in 2008. Today cops monitorfeeds from over 1159 CCTV cameras with the number increasing to 3,000 as the program expands. (Photo by Timothy Fadek/Corbis via Getty Images)

inside the new york metropolis Police department’s lessen new york safety center on Sept. 20, 2010, where police officers monitor surveillance cameras, environmental sensors, and registration code readers around the clock.

picture: Timothy Fadek/Corbis by the use of Getty pictures

dermis Tone Search technology, refined on New Yorkers

IBM’s preliminary breakthroughs in object consciousness technology have been expected for technologies like self-using cars or graphic recognition on the web, pointed out Rick Kjeldsen, a former IBM researcher. however after 9/eleven, Kjeldsen and a few of his colleagues realized their software became greatest for counterterror surveillance.

“After 9/11, the funding sources and the customer interest basically bought pushed toward protection,” referred to Kjeldsen, who pointed out he worked on the NYPD program from roughly 2009 through 2013. “besides the fact that that hadn’t been their focus up to that factor, that’s where demand changed into.”

IBM’s first main urban video surveillance mission changed into with the Chicago Police branch and began around 2005, in response to Kjeldsen. The department let IBM scan with the know-how in downtown Chicago unless 2013, however the collaboration wasn’t viewed as a true enterprise partnership. “Chicago become all the time referred to as, it’s now not a real — these guys aren’t a real consumer. this is variety of a building, a collaboration with Chicago,” Kjeldsen stated. “Whereas manhattan, these guys had been a consumer. and they had expectations as a consequence.”

The NYPD obtained IBM’s video analytics utility as one a part of the domain consciousness system, a shared venture of the police branch and Microsoft that centralized an unlimited net of surveillance sensors in lessen and midtown manhattan — together with cameras, license plate readers, and radiation detectors — into a unified dashboard. IBM entered the image as a subcontractor to Microsoft subsidiary Vexcel in 2007, as a part of a undertaking price $60.7 million over six years, in keeping with the inside IBM documents.

In big apple, the terrorist risk “turned into a simple selling element,” recalled Jonathan Connell, an IBM researcher who labored on the preliminary NYPD video analytics installation. “You say, ‘appear what the terrorists did before, they may come again, so you supply us some funds and we’ll put a digital camera there.”

A former NYPD technologist who helped design the lower ny protection Initiative, asking to talk on heritage citing fears of knowledgeable reprisal, verified IBM’s function as a “strategic supplier.” “In their evaluation of video analytics carriers at the moment, they were well forward of everybody else in my personal estimation,” the technologist observed.

in line with interior IBM planning files, the NYPD started integrating IBM’s surveillance product in March 2010 for the reduce new york safety Coordination middle, a counterterrorism command core launched by means of Police Commissioner Ray Kelly in 2008. In a “60 Minutes” tour of the command center in 2011, Jessica Tisch, then the NYPD’s director of policy and planning for counterterrorism, showed off the utility on glowing widescreen screens, demonstrating how it could pull up pictures and video clips of americans in crimson shirts. Tisch didn't point out the partnership with IBM.

throughout Kelly’s tenure as police commissioner, the NYPD quietly labored with IBM as the company confirmed out its object awareness expertise on a opt for number of NYPD and subway cameras, in keeping with IBM documents. “We truly necessary to be in a position to examine out the algorithm,” pointed out Kjeldsen, who defined that the software would need to system huge portions of diverse photographs with the intention to find out how to alter to the differing lighting, shadows, and other environmental factors in its view. “We have been practically the usage of the video for each things at the moment, taking it to the lab to get to the bottom of considerations they had been having or to test with new know-how,” Kjeldsen observed.

at the time, the branch hoped that video analytics would enrich analysts’ means to identify suspicious objects and persons in actual time in sensitive areas, in accordance with Conor McCourt, a retired NYPD counterterrorism sergeant who mentioned he used IBM’s application in its preliminary degrees.

“Say you have a suspicious bag left in downtown manhattan, as a person working in the command middle,” McCourt noted. “It can be that the analytics saw the article sitting there for 5 minutes, and says, ‘seem, there’s an object sitting there.’” Operators could then rewind the video or analyze different cameras neighborhood, he explained, to get a couple of percentages as to who had left the article in the back of.

over the years, IBM personnel spoke of, they all started to become extra worried as they labored with the NYPD to enable the application to identify demographic features. via 2012, in line with the interior IBM files, researchers were trying out out the video analytics application on the bodies and faces of latest Yorkers, shooting and archiving their physical records as they walked in public or passed through subway turnstiles. With these close-up images, IBM refined its skill to seek people on camera in keeping with a variety of prior to now undisclosed features, such as age, gender, hair color (referred to as “head colour”), the presence of facial hair — and epidermis tone. The documents reference meetings between NYPD personnel and IBM researchers to evaluate the construction of physique identification searches performed at subway turnstile cameras.

“We were certainly worried about the place the heck this turned into going,” recalled Kjeldsen. “there were a few us that have been all the time speaking about this, you know, ‘If this gets more advantageous, this can be an argument.’”

based on the NYPD, counterterrorism personnel accessed IBM’s bodily search function capabilities only for assessment functions, and that they had been available only to a handful of counterterrorism personnel. “while tools that featured both racial or skin tone search capabilities have been offered to the NYPD, they have been explicitly declined by means of the NYPD,” Donald, the NYPD spokesperson, pointed out. “where such tools got here with a test edition of the product, the testers were steered most effective to test other elements (apparel, eyeglasses, etc.), but now not to check or use the skin tone characteristic. That isn't because there would were anything else illegal or even incorrect about checking out or the use of these tools to search in the enviornment of a criminal offense for an image of a suspect that matched a description given by means of a victim or a witness. It changed into chiefly to prevent even the suggestion or appearance of any kind of technological racial profiling.” The NYPD ended its use of IBM’s video analytics application in 2016, Donald mentioned.

Donald stated that, at some factor in 2016 or early 2017, IBM approached the NYPD with an upgraded version of the video analytics program that may search for americans by way of ethnicity. “The branch explicitly rejected that product,” he noted, “according to the inclusion of that new search parameter.” In 2017, IBM launched intelligent Video Analytics 2.0, a product with a physique digicam surveillance skill that enables clients to detect americans captured on digicam by means of “ethnicity” tags, comparable to “Asian,” “Black,” and “White.”

Kjeldsen, the former IBM researcher who helped strengthen the company’s skin tone analytics with NYPD digital camera entry, noted the department’s claim that the NYPD without difficulty confirmed and rejected the bodily search elements become deceptive. “we'd have not explored it had the NYPD instructed us, ‘We don’t want to do that,’” he observed. “No company goes to spend money where there’s no longer customer activity.”

Kjeldsen also delivered that the NYPD’s determination to enable IBM access to their cameras become essential for the development of the dermis tone search elements, noting that all over that duration, new york metropolis served as the company’s “primary checking out area,” presenting the business with considerable environmental range for software refinement.

“The extra different cases that you could use to boost your application, the superior it’s going be,” Kjeldsen noted. “That definitely pertains to individuals, epidermis tones, whatever thing it is you can be in a position to classify people as, and it also goes for clothing.”

The NYPD’s cooperation with IBM has considering the fact that served as a promoting element for the product at California State college, Northridge. There, campus police chief Anne Glavin noted the know-how enterprise IXP helped sell her on IBM’s object identification product through citing the NYPD’s work with the business. “They stated what it’s finished for new york metropolis. IBM changed into very lots behind that, so this turned into most likely of remarkable activity to us,” Glavin observed.

A rare look inside the New York Police Department's lower Manhattan security center, where cops monitor surveillance cameras, environmental sensors and license plate readers around the clock. Mayor Michael Bloomberg and Police Commissioner Ray Kelly announced that subway cameras are also being monitored in the center -- officially called The Lower Manhattan Security Coordination Center. Modeled after London's "Ring of Steel," the NYPD opened its coordination center in 2008. Today cops monitorfeeds from over 1159 CCTV cameras with the number increasing to 3,000 as the program expands. (Photo by Timothy Fadek/Corbis via Getty Images)

A display screen showing surveillance pictures of a brand new York street on Sept. 20, 2010, seen interior the long island city Police branch’s lower long island security middle.

picture: Timothy Fadek/Corbis by the use of Getty photos

daily Policing, Civil Liberties concerns

The NYPD-IBM video analytics program become at the beginning estimated as a counterterrorism tool to be used in midtown and decrease long island, according to Kjeldsen. besides the fact that children, the program turned into built-in right through its checking out part into dozens of cameras throughout the city. according to the previous NYPD technologist, it might have been built-in into widely wide-spread crook investigations.

“All bureaus of the branch could make use of it,” spoke of the previous technologist, potentially helping detectives examine every thing from intercourse crimes to fraud instances. Kjeldsen spoke of cameras being placed at constructing entrances and close parking entrances to video display for suspicious loiterers and deserted luggage.

Donald, the NYPD spokesperson, pointed out the application’s access became constrained to a small number of counterterrorism officers, adding, “We don't seem to be aware about any case the place video analytics became an element in an arrest or prosecution.”

Campus police at California State university, Northridge, who adopted IBM’s software, said the bodily search aspects were constructive in criminal investigations. requested about even if officers have deployed the software’s capability to filter via pictures for suspects’ garb color, hair color, and epidermis tone, Captain Scott VanScoy at California State school, Northridge, responded affirmatively, relaying a narrative about how tuition detectives were able to use such elements to immediately filter via their cameras and locate two suspects in a sexual assault case.

“We were able to select up the place they were at different areas from previous that evening and put a narrative together, so it saves us a ton of time,” Vanscoy talked about. “by the time they did the interviews, they already knew the story and they didn’t comprehend they had generic.”

Glavin, the chief of the campus police, introduced that surveillance cameras using IBM’s utility had been positioned strategically throughout the campus to trap capabilities security threats, reminiscent of car robberies or pupil protests. “So they mapped out some CCTV in that area and a route of commute to their leading administration building, which is now and again where americans will walk to make their considerations conventional and that they like to stand backyard that constructing,” Glavin observed. “no longer that we’re a big protest campus, we’re in no way a Berkeley, however made feel to delivery to construct the exterior digital camera equipment there.”

Civil liberties advocates say they're alarmed via the NYPD’s secrecy in helping to boost a software with the advantage potential for mass racial profiling.

The identification technology IBM developed can be easily misused after an immense terrorist attack, argued Rachel Levinson-Waldman, senior tips within the Brennan core’s Liberty and country wide safety program. “no matter if or now not the perpetrator is Muslim, the presumption is commonly that she or he is,” she spoke of. “It’s easy to imagine legislations enforcement jumping to a conclusion in regards to the ethnic and religious identity of a suspect, all of a sudden going to the database of stored video clips and brushing via it for any person who meets that physical description, after which calling people in for questioning on that basis.” IBM didn't comment on questions concerning the advantage use of its software for racial profiling. however, the business did send a remark to The Intercept stating that it was “probably the most first businesses any place to adopt a set of ideas for believe and transparency for brand new technologies, together with AI programs.” The statement persisted on to explain that IBM is “making publicly attainable to different businesses a dataset of annotations for more than 1,000,000 images to help remedy probably the most biggest concerns in facial analysis — the shortcoming of distinct statistics to instruct AI programs.”

Few laws naturally govern object cognizance or the other styles of artificial intelligence included into video surveillance, in keeping with Clare Garvie, a legislation fellow at Georgetown law’s center on privacy and expertise. “Any sort of actual-time place monitoring might also raise a Fourth amendment inquiry,” Garvie referred to, citing a 2012 Supreme court docket case, united states v. Jones, that worried police monitoring a automobile’s path with no warrant and resulted in five justices suggesting that individuals may have an inexpensive expectation of privacy in their public actions. moreover, she said, any kind of “identity-based surveillance” may compromise individuals’s appropriate to nameless public speech and affiliation.

Garvie mentioned that whereas facial consciousness expertise has been closely criticized for the chance of false matches, that possibility is even greater for an analytics system “tracking someone through different traits, just like the colour of their apparel and their height,” that don't seem to be pleasing qualities.

the former NYPD technologist acknowledged that video analytics systems could make errors, and noted a examine where the utility had situation characterizing americans of color: “It’s not ever 100 percent.” but the program’s identification of advantage suspects become, he cited, most effective step one in a sequence of pursuits that heavily relies on human knowledge. “The expertise operators hand the records off to the detective,” mentioned the technologist. “you employ all of your databases to look for competencies suspects and also you supply it to a witness to examine. … here's all about finding a means to shorten the time to capture the bad people.”

Object identification classes could also unfairly drag people into police suspicion just as a result of general physical characteristics, in keeping with Jerome Greco, a digital forensics personnel legal professional at the prison aid Society, manhattan’s greatest public defenders firm. “I imagine a scenario where a vague description, like young black male in a hoodie, is fed into the system, and the application’s undisclosed algorithm identifies a person in a video going for walks a couple of blocks away from the scene of an incident,” Greco mentioned. “The police locate an excuse to stop him, and, after the stop, an officer says the particular person suits an outline from the past incident.” rapidly, Greco endured, “a man who was just going for walks in his personal regional” may well be charged with a serious crime without him or his attorney ever understanding “that it all stemmed from a secret application which he can't challenge.”

whereas the technology could be used for appropriate law enforcement work, Kjeldsen noted that what him most about his venture become the secrecy he and his colleagues needed to retain. “We certainly couldn’t discuss what cameras they have been the use of, what capabilities they had been putting on cameras,” Kjeldsen observed. “They wanted to manage public belief and recognition of LMSI” — the reduce new york security Initiative — “so they at all times had to be cautious about even that part of it, that we’re involved, and who they were involved with, and what they had been doing.” (IBM didn't respond to a question about instructing its employees not to talk publicly about its work with the NYPD.)

the manner the NYPD helped IBM enhance this know-how devoid of the public’s consent sets a deadly precedent, Kjeldsen argued.

“Are there certain activities that are nobody’s business no matter what?” he asked. “Are there certain areas on the boundaries of public areas that have an expectation of privateness? and then, how will they build tools to implement that? That’s where they want the conversation. That’s precisely why abilities of this should still become extra commonly accessible — so that they will figure that out.”

this article became reported in partnership with the Investigative Fund on the Nation Institute.

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Assessment: Developing IBM Lotus Notes and Domino 8.5 Applications

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Domino is Not Dead: Why Now Is a Good Time to Consider a New Value Proposition, Part 1 | real questions and Pass4sure dumps

Domino dynamo: this 20-year veteran buys you more bang for your buck than ever before. Martin Leon tells you about the virtues of Domino and how much mileage you can get out of this dynamo of an application platform.

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I have been a Domino developer for the past 13 years, and for as long as I have been working with the platform, I am continually surprised and dismayed to have to explain to technical recruiters or interviewers what Lotus Domino is and what you can do with it. My dismay is because although there are a few key features that make Domino stand out from other application development platforms, I've heard repeatedly throughout my tenure as a Domino developer that "Domino is dead."

Thus, I write this article to set things straight.

There are a few key features that make Domino stand out from other application development platforms. In this article, I want to describe these features and show you how they can benefit your bottom line.

So what is Domino? Lotus Domino is an IBM product that has a history going back 20 years. At its core, Domino is a cross-platform application server. It provides security, database, mail, web, and job scheduling services. Also, Domino can be extended through add-ons to provide additional functionality.

Figure 1 A single Domino server provides a wide variety of services.

The latest release of the Domino server is version 8.5. A Lotus Domino 8.5 server can be installed on Windows (Windows Server 2003 and 2008 including X64 versions), Linux (Novell SUSE and Red Hat Enterprise Linux), Sun Solaris, and IBM AIX 5.3 and 6.1.

Most people have heard of "Lotus Notes" or "Notes Mail." The latter is a bit of a misnomer because mail is only one of the services and applications that come included in the platform. Within the platform the Lotus Notes Client is the "client" and Lotus Domino is the "server".

Originally, you purchased a Lotus Notes Server along with as many Lotus Notes Clients as you needed for your business. In 1995, when Notes R4.5 was released, the server portion of this client-server relationship came with an integrated HTTP server that provided web access to the Lotus Notes applications that it was hosting.

From that point on, you no longer needed to buy Lotus Notes Clients to access Notes applications, not even for the email application.

Now you had the option to use a web browser as your application client. HTTP integration marked the point when the server product began to be sold separately as the Lotus Domino Server and was a key turning point in how HTTP integration allows you to develop Domino applications targeted at web browsers in addition to, or instead of, the Lotus Notes Client.

IBM and Cisco Unveil Platform for Developing Unified Communications and Collaboration Solutions | real questions and Pass4sure dumps

ORLANDO, FL. - VoiceCon Conference - March 7, 2007 - IBM (NYSE: IBM) and Cisco (NASDAQ: CSCO) today announced their intent to deliver a new platform for unified communications and collaboration client development. Based on open technologies such as Eclipse and OSGi, the platform will accelerate application development by enabling developers to easily include a rich set of communications and collaboration capabilities in their solutions. Additionally, the companies announced plans to deliver specific customer offerings including a joint solution based on the new client platform and a set of "plugins" that bring together the communications and collaboration capabilities of both companies.

At the core of the unified communications and collaboration (UC2) Client Platform will be an open set of application programming interfaces (APIs) offered by IBM as a subset of Lotus Sametime collaboration capabilities along with communication APIs provided by Cisco to access communications functionality such as voice and video services. The Lotus Sametime collaboration capabilities are built on IBM's Lotus Expeditor, which contains open technologies from OSGi and Eclipse. This allows customers and partners to build new classes of applications and services that are easily managed and run across desktops, laptops, web browsers, and mobile devices.

Cisco and IBM will adopt the UC2 Client Platform to develop their own unified communications and collaboration clients. Lotus Sametime 7.5 is based on this platform and IBM plans that future releases will continue to take advantage of the platform. Cisco also intends to develop future versions of its Cisco Unified Personal Communicator client based on this client platform.

In addition, the two companies intend to work together to promote the benefits of open technologies for development and will drive market adoption of the UC2 Client Platform among customers and partners. These activities are expected to include training, enablement and certification programs for developers, ISVs and unified communication providers.

A significant number of customers, developers, distributors and communications providers have already expressed their support for the UC2 Client Platform, including Berbee, Citrix Systems, Coca-Cola Enterprises, Nokia, Optimus, Presidio Networked Solutions, PSC Group, Radvision and Research in Motion. Comments from these companies may be found at: or

"Here at Coca-Cola Enterprises, they are focused on leveraging their technology investments to enhance their employee productivity," said Ray Repic, Chief Technology Architect at Coca-Cola Enterprises. "The ability to provide their users with a single focal point for the full suite of applications they use every day, including such things as Cisco CallManager and Unity, Lotus Sametime and Notes is very strategic for us. The announced platform by Cisco and IBM will allow us to more fully integrate core applications as well as build additional applications to work with them via open APIs. They praise IBM and Cisco for working together to drive integration of these core capabilities and look forward to adoption of this important effort."

An open approach to development represents a significant opportunity for developers, ISVs and unified communications providers. Developers and ISVs have access to the more than 2.3 million existing members of the Eclipse and OSGi development communities to take advantage of this platform. Open APIs mean developers can create solutions with confidence, knowing that the APIs will not change at the whim of a vendor. Additionally, the need for unified communications providers and ISVs to recreate base UC2 capabilities is significantly reduced, saving time and development costs.

To help ensure the UC2 Client Platform is accessible and rapidly adopted in the industry, IBM plans to offer the platform to developers at no charge with minimal costs for support and redistribution. A certification program is also planned for organizations that license the UC2 Client Platform, helping to ensure consistency between product deployments and allowing them to claim compatibility with the platform.

The UC2 Client Platform is expected to be available second half of 2007 and an early software release is planned for developers and partners in the second quarter of this year.

Expanded IBM and Cisco Alliance Delivers New Value to Customers

Cisco and IBM today also announced they plan to combine unified communications and collaboration strengths as part of an expanded strategic alliance. The expanded relationship is expected to include: joint offerings based on the UC2 Client Platform, communication and collaboration products from both companies, and expanded go-to-market activities including Cisco selling Lotus Sametime and IBM selling Cisco Unified Communications Manager, Cisco Unity, and Cisco Unified MeetingPlace.

In addition, Integrated Communications Services, from IBM Global Technology Services, is expected to offer assessment, design and implementation services on the full Cisco Unified Communications and Lotus Sametime portfolio, which will help clients accelerate implementation time, provide a quicker time to value and improve project success rates.

The joint offerings will help make business communication more efficient, customers more productive and partners more successful and are expected to include:

  • Click-to-Call and Voice Mail integration (planned availability for first half of 2007) - Lotus Sametime users will be able to send instant messages to and from Cisco Unified IP Phones, view and play Cisco Unity voice messages, and click-to-call another user directly from their Lotus Sametime 7.5.1 client.
  • New joint client offering (planned availability for second half of 2007) - In addition to the above functionality, a combination of capabilities will be offered from Lotus Sametime and a suite of functions from Cisco to include federated presence information, a soft phone, hard phone control, call history, conferencing and video telephony.
  • Cisco Unified MeetingPlace and Lotus Sametime and Lotus Notes integration (planned availability for second half of 2007) - Lotus Sametime Web conference integration with and control of Cisco Unified MeetingPlace audio and video conferences, and click to conference capabilities from Lotus Sametime and Lotus Notes.
  • For more information on IBM:

    For more information on Cisco:

    # # #

    KMWorld Trend-Setting Products of 2012 | real questions and Pass4sure dumps

    Sep 1, 2012

    Hugh McKellar

    This marks the tenth anniversary of their Trend-Setting Products list, and as in years past, it has been assembled through consultation and collaboration with editorial colleagues, analysts, system integrators and a select group of users. They conscientiously compile the list to serve KMWorld's core constituency, their readers, and focus completely on elegant, workable, sustainable business value. They disregard the gimmicky software that might feature a clever idea but has only ephemeral importance. And although a number of the products listed here are especially well-suited, if not specifically designed, for particular vertical markets, they selected those whose benefits can be realized in their readers' widely diverse environments.

    The judging process is a collaborative effort that takes many months. This year more than 700 products/product families were whittled down to the 89 listed in these pages. Each company whose products are listed below helped to define and enhance a market critically important to their readership by listening to and working with customers. They all represent a commitment to innovation and their customers.

    We encourage readers to send your thoughts and suggestions to the judging panel at

    5280 Solutions: Dynamic Payables—Web-based invoice automation solution for SharePoint.

    A9, an Amazon company: Amazon CloudSearch—cloud service allowing customers to integrate scalable search into applications.

    Abbyy USA: FlexiCapture 10—data capture and document processing software for turning hard-copy forms and documents into business-ready data.

    Accellion, Inc.: Accellion Mobile Apps-secure, enterprise—class mobile file sharing solutions. Click here for more product details.

    Access Innovations: Data Harmony 3.8—software tools for metadata management, including automatic indexing and taxonomies. Click here for more product details.

    Accusoft: Prizm Content Connect—customizable, scalable content viewer. Click here for more product details.

    Acquia: Dev Desktop—package that installs Acquia Drupal on Windows and Mac OS X.

    Acrolinx: Acrolinx IQ—natural language processing engine enabling creation of search-ready content.

    Alfresco: Alfresco in the Cloud—allows users to collaborate and share files both inside and outside the organization securely on any device.

    Altep: Inspicio—legal electronic document review platform with integrated concept searching, clustering and categorization. Click here for more product details.

    AnyDoc Software: CAPTUREit—standalone document capture application and part of either end-to-end OCR or AnyDoc automated document and data capture. Click here for more product details.

    Appian: Appian BPM Suite—mobile, cloud and social process improvement.

    ASG Software Solutions: ASG CloudFactory—comprehensive cloud management. Click here for more product details.

    Attensity: Attensity Pipeline—real-time, semantically annotated social media data stream for large organizations.

    Attivio: Active Intelligence Engine 3.0—accessible, standards-based unified information access platform.

    Autonomy: IDOL 10—a single processing layer for audio, video, social media, e-mail, Web content and structured data.

    AvePoint: DocAve Content Shield for SharePoint—automating enforcement of information governance policies for tagging and classifying content. Click here for more product details.

    BA Insight: Longitude Enterprise Search for SharePoint and FAST—integrated SharePoint solution that provides full previews of search result content regardless of type or location.

    Bamboo Solutions: Web Parts and Tools—portfolio to accelerate portal deployment and facilitate adoption and continued usage. Click here for more product details.

    Birst: Birst Enterprise Edition—self-service business intelligence.

    BP Logix: Process Director Cloud Edition—business intelligence to help users anticipate and predict potential problems in business processes.

    Bridgeline Digital: iAPPS Content Manager V. 4.7—Web experience management with internationalization capabilities for e-commerce. Click here for more product details.

    Citrix: XenDesktop—desktop virtualization for on-demand service on any device.

    Clarabridge: Clarabridge Enterprise—voice of the customer platform for data acquisition with linguistic processing and enterprise reporting.

    Colligo Networks: Colligo Desktop for SharePoint—document, e-mail and records management solution.

    Comperio Search: Comperio Front—business logic software for search solutions. Click here for more product details.

    Concept Searching: Smart Content Framework—software to identify and tag content with semantic metadata and then classify it to organizational taxonomies.

    Connotate: Agent Community—software and services provide an interface for highly accurate data collection.

    Consona, which recently merged with CDC Software to form Aptean: CRM Suite—knowledge management, enterprise customer relationship management, e-service and network management software.

    Content Analyst: Content Analyst Analytical Technology (CAAT) V. 3.11—deep analytics for unstructured data applications, including legal document review.

    Coveo: Insight Solutions—combining enterprise search and knowledge management with extensive industry expertise and best practices.

    Digital Reef: Digital Reef eDiscovery—enterprise-scale e-discovery platform for managing legal matters, regulatory inquiries and corporate investigations.

    Discover Technologies: DiscoverPoint—automated expertise location for enterprises with large workforces.

    eGain: eGain 10—complete suite of customer service and contact center software to help organizations transform their traditional call centers into multichannel customer interaction hubs. Click here for more product details.

    Ektron: Ektron 8.5—.NET Web content management, marketing optimization, social community and e-commerce platform.

    EMC: Atmos Cloud Delivery Platform—software used to deliver and manage storage-as-a-service to an Atmos storage cloud.

    EntropySoft: Content Hub Platform—content connectors providing a central point of access to all company documents, both on-premise or in the cloud. Click here for more product details.

    EXSYS: Corvid—development software allowing non-programmers to easily build interactive Web applications.

    Exterro: Fusion Platform—workflow-driven suite including identification, legal hold and early case assessment, collection, processing, analysis, review and production.

    Findwise: Hydra—open source content processing framework for search-based applications.

    FTI Technology: Ringtail 8.2—a complete e-discovery platform with integrated visual analytics and redesigned interface. Click here for more product details.

    HiSoftware: Compliance Sheriff—enterprise compliance automation enabling repeatable and enforceable processes for all types of content governance.

    IBM: Content Navigator—allows users to access, manage, work and collaborate with enterprise content directly from mobile devices and tablets.

    IGLOO Software: Igloo Platform—integrated suite of content management, collaboration and enterprise social networking tools.

    Infotrieve: Mobile Library—fully secure, cloud-based access to enterprise content.

    Integrify: Integrify 5.5—robust, lean business process management solution available as both an on-premise solution or hosted service.

    IntelliResponse: IntelliResponse Answer Suite—customer experience across a variety of interaction channels, including corporate websites, agent desktops, social media platforms and mobile devices.

    IntraFind: iFinder—solutions and consultancy services for enterprise search, information access and text mining.

    IntraLinks: IntraLinks Connect—out-of-the-box solutions to share content across the enterprise while maintaining  security, control and transparency. Click here for more product details.

    Jive Software: Social Business Platform—comprehensive, enterprise-class tools for communication, collaboration, content creation and sharing.

    K2: K2 blackpearl—BPM software for automating enterprise business processes and building SharePoint applications and integrating Microsoft solutions into SAP.

    KANA: KANA Enterprise Agent Desktop—allows contact center agents to access the information and functionalities required to see customer information in a single, unified desktop.

    Kapow Software: Katalyst 9.0—enables integration of applications and/or data sources without coding or APIs.

    kCura: Relativity 7—Web-based platform providing analysis, review and production stages of the electronic discovery reference model (EDRM). Click here for more product details.

    KnowledgeLake: Unify for SharePoint—permits users to stay within native applications while interacting with SharePoint. Click here for more product details.

    Kofax: Kofax Web Capture—toolkit for creating Web-based applications with image viewing/scanning capabilities.

    M-Files: M-Files ECM—document management integrated with Windows applications.

    MarkLogic: MarkLogic 5—database for building and deploying big data applications with structured, semi-structured and unstructured information.

    Metalogix: Replicator for SharePoint 5.0—enables multiserver SharePoint content synchronization. Click here for more product details.

    Mindbreeze: InSite—secure, semantic software for Web search. Click here for more product details.

    Moxie Software: Spaces Platform—communication and collaboration designed to connect customers and employees.

    NewsGator: Social Sites for SharePoint 2010—social networking for SharePoint integration.

    Noetix: NoetixViews Workbench—automates the creation and management of customizations to Noetix views through an intuitive user interface. Click here for more product details.

    OpenText: Exceed onDemand for iPad—managed application access solution designed for enterprises.

    Oracle: Oracle RightNow CX Cloud Service—combines Web, social and contact center experiences for unified, cross-channel service.

    Pegasystems: Unified Marketing Solution—inbound offer management and outbound marketing combining predictive and adaptive analytics with business process management.

    Percussion Software: CM1 Version 2—pure WCM software that provides users with full functionality delivered as an easily upgradeable product.

    Proofpoint: Enterprise Governance—tracks, classifies, monitors and applies policy to unstructured information across the enterprise where stored.

    Q-Sensei: Q-Sensei Enterprise—multidimensional search and indexing designed to develop and deploy search-based applications. Click here for more product details.

    Quest Software: Spotlight on SQL Server Enterprise—in-depth physical, cloud and virtual SQL diagnostics.

    Raytion: Enterprise Search Connectors for FAST Search Server 2010 for SharePoint—native integration with SharePoint's security trimming.

    Recommind: Decisiv Search—crawls and indexes information from any source, including document management systems, intranets, e-mail archives, contact management databases and websites.

    Reprints Desk: Article Galaxy—journal article platform for evidence-based promotions, medical information responses, as well as scientific, technical and medical research.

    RightAnswers: Unified Knowledge Platform—knowledge management automation and service.

    Rivet Logic: Crafter Rivet Version 2.0—an end-to-end Web content and experience management and delivery platform. Click here for more product details.

    RSD: RSD GLASS—platform for managing global corporate information governance programs for electronic and physical records.

    SAP: StreamWork—social software enabling information analysis to drive action through collaboration with people, data and structured business tools.

    SAS Text Analytics: Predictive Analytics and Data Mining—suite of integrated predictive modeling processes.

    SDL: SDL Tridion—complete, global Web content management solutions. Click here for more product details.

    Search Technologies: Aspire—content processing system designed for search environments enabling content to be acquired, cleaned, restructured, enriched and normalized. Click here for more product details.

    Sherpa Software: Discovery Attender for Notes—federated search functionality across all Domino databases.

    Smartlogic: Semaphore—combines ontology management, classification, text mining and semantic analysis in a search application framework.

    SpringCM: Mobile apps for iPad, iPhone and Android—cloud-based content and document management solutions.

    StoredIQ: Active Information Management Platform—open platform for in-place dynamic indexing and analysis of data.

    Symantec: Endpoint Protection—antivirus software virtual and physical systems that integrate into other virus protection tools with a single console.

    Synaptica: Synaptica Enterprise—taxonomy and metadata management software.

    Traction Software: TeamPage—action tracking, Twitter-style status, threaded discussion, collaboration, social networking and deep search.

    Vivisimo, an IBM company: CXO—customer experience optimization connecting customer-facing agents with information required for sales/support.

    Wall Street Network: WSN Insight—knowledge management for SharePoint.

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