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February 6, 2019 Alex Woodie

We kicked off their 2019 soothsaying last week with predictions from IBM i leaders on what the brand new year will convey. They maintain the ball rolling this week with a further batch of predictions from their chums around the IBM i neighborhood.

according to Alison Butterill, IBM‘s the program director for providing administration for IBM i, the platform will construct off the momentum generated with ultimate yr’s 30th anniversary celebrant.

“The exhilaration begun in 2018 as they highlighted client innovation around the globe will proceed into 2019,” Butterill says. “The momentum continues to grow as shoppers are looking at easy methods to provide solutions to enterprise complications via extending their IBM i purposes and statistics into the area of AI and desktop getting to know. while some valued clientele are only beginning to view this as a way to the future, others are already integrating the know-how into their enterprise options. 2019 might be a good 12 months for innovation.”

Nothing happens in IBM i – or any stroll of life for that remember – with out individuals. To that conclusion, they turn the mic over to Bob Langieri, a longtime IBM i recruiter and CEO of Excel Technical features.

“The tendencies that I actually have considered over the remaining six to one year are giving me more self belief to relay what I see from a recruiter’s standpoint,” Langieri writes. “whereas new openings for RPG skill isn't on the level they noticed pre-Y2K, there turned into a particular up-tick in 2018 and going into 2019. The most desirable americans are working and truly won’t leave their agencies until their enterprise is relocating or getting off the IBM i. groups are paying decent people bigger salaries to hold them. agencies are calling me more because a person on their workforce is retiring. In some instances they look for a alternative worker, however in some circumstances, they're calling me for a part-time useful resource to augment their team of workers or to cowl their abilities gap earlier than somebody retires.

“greater of the contract programming work is longer term in place of two-to-three month tasks,” the Orange County, California, resident says. “there's a dwindling supply of RPG skill purchasable, specifically with the right abilities. whereas ILE and Freeform RPG are fairly tons the standards, many shops nevertheless have an excellent amount of legacy RPG code that is not contemporary RPG. yet another problem is that documentation is either absent or noticeably lacking clear workings of a program. In popular, most retail outlets are too understaffed to keep up with the superior ‘foremost practices’ for software development, modernization, documentation, adapting new applied sciences, testing their HA or catastrophe plan.

“Managers need to battle for extra price range and staff,” Langieri continues. “I trust that many outlets don't seem to be in a position to sustain the utmost security for their statistics facilities. They have confidence that the IBM i is so at ease that they need not fret, yet the best of corporations are breached well-nigh day by day. i'm seeing extra businesses going off the platform to get far from RPG, or going to the Cloud, partly as a result of they see the pool of RPG builders retiring and never replenishing, but also because there are more platforms that run open source tools or huge scale ERP that overshadow RPG and the IBM i. while I completely disagree with their logic, the certainty is schools don’t teach RPG.

“Linux is starting to be, Java, C, C++,, Python, C# and php dominate the top programming languages whereas RPG ranks someplace between 50 and 75. RPG isn't going away, and right here to dwell after they child-boomers are gone, nonetheless it is a really small piece of the IT pie. those that can do contemporary RPG and blend it with tools like Ruby, Hypertext Preprocessor or .internet can nonetheless have their piece of the pie with ice cream on desirable.”

Get able for extra open source innovation in 2019, predicts Steve Will, the chief architect for IBM i.

“As IBM i valued clientele adopt greater open source know-how, taking skills of the work being carried out with the aid of the IBM i building crew along with neighborhood participants, 2019 will convey continued growth of IBM i — in enterprise consequences, in excitement around new capabilities, and in a renewed recognition of the price of the total gadget – hardware and software,” Will says. “Now that RPM has develop into the defacto typical formulation of constructing open application purchasable for IBM i, the sheer variety of applications obtainable will enable developers to with ease lengthen existing applications — in each industry — and encompass up to date accessories.

“The 2019 IBM bulletins regarding IBM i will bring a different level of pleasure to a group it's already energized through the 30th anniversary. Many purchasers are already adopting the newest and top-quality IBM i has to offer.”

Shmuel Zailer, the CEO of Raz-Lee, is an optimist who works in a predominantly pessimistic field (security). Zailer shares his strategies on 2019 with IT Jungle:

“we are seeing fewer corporations leaving the platform,” Zailer says. “biological increase within the familiar computing market will be sure that the IBM i market will develop as neatly. The outcomes is a sturdy market with possibly some growth.

“yet another fashion to have a look at is the continual boost in popularity and utilization of iASP, chiefly for HA functions,” he continues. “further and further businesses are splitting their application between a few methods. They need integration options . . . to be capable of access different databases at once from RPGLE and COBOL. they are able to see a greater number of suitable solutions available on the market.

“The GDPR flow will profit momentum,” Zailer says. “The threat of fines and of harm to a company’s attractiveness when personal guidance is compromised will nonetheless have a huge effect on security operations in 2019. those who thought GDPR didn’t practice to them are realizing that it does. they're going to should take the indispensable measures to be sure all their techniques, together with their IBM i, comply. extra states and countries will follow the GDPR lead. Many US states have already passed facts coverage laws on the heels of the GDPR, such as the California client privateness Act of 2018, which was signed in June 2018 and will go into impact in less than a yr.

“2018 confirmed us that IBM i methods are increasingly prone to new cyber attacks, due to the fact that sharing of IBM i IFS folders with other techniques exposes your IBM i to the dangers originated from these programs,” Zailer concludes. “Ransomware will proceed to cause havoc for groups in 2019. they are making first rate strides during this battle and expect to see some new solutions this year.”

one of the crucial IBMers who has worked in most cases in the back of the scenes is Brandon Pederson. Now the international IBM vigor techniques content material and neighborhood manager is taking a extra prominent role in shaping the narrative around IBM i.

“2019 can be another robust year for the IBM vigour methods community,” Pederson says. “we have simply introduced the new classification of IBM Champions for power techniques featuring a couple of new participants. These include a few “fresh faces” including Stephanie Rabbani and Josh hall of Seiden group, Simon Thompson from The school of Birmingham, and Michael Karasienski of Carhartt. person organizations world wide could have another busy year, putting on several conferences such because the giant North American typical POWERUp2019 experience and common Europe Congress in addition to native activities like WMCPA, OCEAN and MAGIC.

As an utility modernization answer vendor with a distinctiveness in net capabilities, Open Legacy has up on the newest cloud technology. however the business is sensing some pullback from the cloud on the part of IBM i stores.

“This year companies will recognize that the cloud isn't a silver bullet,” Open Legacy tells IT Jungle. “youngsters the cloud solves a lot of complications, it isn’t at all times more affordable or simpler to hold. It doesn’t at all times maximize efficiency. And, the cloud creates dependencies on a single seller. These distinctions are particularly acute in applications designed for on-prem usage. The change between hosting within the cloud and using cloud applied sciences, which helps on-prem, is big. 2019 is the year AS/400 company say ‘no’ to a cloud only solution and say ‘yes’ to hybrid, which allows organizations the flexibleness to find functionality in the cloud or on-prem.”

related STORY

2019 Predictions: IBM i trend recognizing

IBM boosts facts scientists with certification and apprenticeship software | Real Questions and Pass4sure dumps

IBM Corp. is attempting to give the statistics science career a lift with the aid of championing a brand new certification and launching an interior apprenticeship application nowadays that offers young people without a counsel expertise event an opportunity to develop into professional records scientists.

The U.S. at the moment has greater than a hundred and fifty,000 unfilled statistics science jobs, in response to closing summer’s Linkedin personnel record. That’s an issue for groups that want to take expertise of the sprawling assortment of data analytics tools as well as for these such as IBM which have products to promote them.

IBM labored with The Open neighborhood, a world consortium of about 625-member organizations that develops open, vendor-neutral know-how standards and certifications, on what the company said is a first-of-its-variety statistics scientist certification. It’s in line with peer reviews and established useful event, in place of standardized tests.

“It offers an goal, legit measure of statistics science capabilities and skills,” Martin Fleming and Seth Dobrin wrote in a post published today on IBM’s suppose weblog. Fleming is IBM’s chief analytics officer and chief economist and Dobrin is the company’s chief data officer.

IBM will be the first business to offer the certification to its own employees, proposing three ranges of certification and assist by using its inner badge program.

Certifications are ordinary in technical fields where virtuosity can be measured by means of metrics comparable to test scores. however, they can be controversial in professions that vicinity a top rate on “delicate” knowledge that aren’t easily quantified. statistics science demands a mixture of technical capabilities and creativity, so the peer evaluation process is intended to measure each.

IBM also spoke of it has launched an inside apprenticeship software as part of its “new collar” initiative, which goals to employ young employees who lack normal backgrounds and even school diplomas. IBM says between 10 and 15 percent of its current new hires don’t have normal 4-year degrees.

The 24-month program gives a mix of training, mentoring and useful event with employees working towards degree one certification as an Open group-licensed facts scientist. the primary cohort of five students changed into employed remaining week from a pool of tons of of candidates. IBM intends to expand the application aggressively across the U.S. however wouldn’t specify any goals for the number of people who can be employed.

rather than looking for levels, IBM is after americans “who're totally curious, have a spirit of a continual researching and have analytics capabilities,” talked about Ana Echeverri, an IBM facts science boom innovations lead. In distinction to remote and even classroom studying, she said, “they have the chance to be a part of an excellent company. It’s life-changing.”

The software is a registered apprenticeship with the U.S. branch of Labor, which offers IBM entry a variety of funding, credentialing and tax merits. In a tight labor market, such courses also make enterprise sense, Echeverri talked about.

building advantage internally is more affordable than deciding to buy them on the open market, and graduates of the application are inclined to stay with the business. “We’ve discovered that these americans are only as in a position as those with advanced degrees,” said Echeverri, who holds a bachelor’s diploma in laptop engineering, an MBA and a grasp’s in analytics.

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IT Sourcing Market is Booming global | Accenture, IBM, Cisco programs, CA technologies, HP, exceptional systems, Synnex | Real Questions and Pass4sure dumps

Feb 08, 2019 (Heraldkeeper by the use of COMTEX) -- a new analysis document is brought in HTF MI database of 200 pages, titled as ‘global IT Sourcing Market size look at, via capabilities (utility building, web construction, utility support and management, assist Desk, Database building and administration, Telecommunication), by using end users (executive, BFSI, Telecom, Others), and Regional Forecasts 2018-2025′ with designated analysis, aggressive landscape, forecast and methods. The look at covers geographic analysis that includes regions like North the usa, South america, Asia, Europe & Others and critical avid gamers/providers similar to Accenture, IBM supplier, Cisco programs, CA technologies, HP enterprise, exceptional programs, Synnex employer, Dell technologies. The record will aid you gain market insights, future traits and increase potentialities for forecast length of 2018 - 2025.

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world IT Sourcing Market valued about USD xxx million in 2017 is expected to develop with a fit boom fee of more than xxx% over the forecast duration 2018-2025. The IT Sourcing is developing and increasing at a significant pace. The assistance know-how (IT) outsourcing is precisely observed the sub-contracting of certain services or to pursue resources backyard an business for all or someone a part of an IT characteristic which should not have plenty of technical knowledge. The short-term suggestions or the more affordable rates on essential assignment are the leading the explanation why companies operating within the existing state of affairs outsource work. The Outsourcing procedure allows staffing flexibility for an commercial enterprise along with allows them to herald further supplies as and when required & further free up them when they are executed, for this reason gratifying the cyclic or seasonal demand. The IT outsourcing market is basically driven because of escalating should optimize company tactics, surging integration of software outsourcing and means optimization considering that the world scenario.

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The leading market gamers specially encompass-AccentureIBM CorporationCisco SystemsCA TechnologiesHP CorporationQuality SystemsSynnex CorporationDell applied sciences

The aim of the examine is to define market sizes of distinctive segments & international locations in contemporary years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative elements of the industry within each and every of the regions and countries concerned within the study. moreover, the record additionally caters the designated information concerning the critical points such as using factors & challenges with the intention to outline the longer term growth of the market. moreover, the document shall also include attainable opportunities in micro markets for stakeholders to invest along with the special evaluation of aggressive panorama and product offerings of key gamers. The unique segments and sub-segment of the market are explained below:

via services:utility DevelopmentWeb DevelopmentApplication assist and ManagementHelp DeskDatabase building and ManagementTelecommunication

with the aid of end users:GovernmentBFSITelecomOthers

with the aid of areas:North AmericaEuropeAsia PacificLatin AmericaRest of the world

furthermore, years regarded for the examine are as follows:

historic 12 months - 2015, 2016Base yr - 2017Forecast duration - 2018 to 2025

goal viewers of the global IT Sourcing Market in Market study:Key Consulting agencies & AdvisorsLarge, medium-sized, and small enterprisesVenture capitalistsValue-brought Resellers (VARs)Third-party competencies providersInvestment bankersInvestors

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desk OF CONTENTSChapter 1. international IT Sourcing Market Definition and Scope1.1. research Objective1.2. Market Definition1.three. Scope of The Study1.4. Years regarded for The Study1.5. foreign money Conversion Rates1.6. report LimitationChapter 2. research Methodology2.1. research Process2.1.1. records Mining2.1.2. Analysis2.1.three. Market Estimation2.1.four. Validation2.1.5. Publishing2.2. analysis AssumptionChapter 3. government Summary3.1. world & Segmental Market Estimates & Forecasts, 2015-2025 (USD Billion)three.2. Key TrendsChapter 4. global IT Sourcing Market Dynamics4.1. boom Prospects4.1.1. Drivers4.1.2. Restraints4.1.three. Opportunities4.2. business Analysis4.2.1. Porter's 5 force Model4.2.2. PEST Analysis4.2.3. price Chain Analysis4.three. Analyst recommendation & ConclusionChapter 5. world IT Sourcing Market, by using Services5.1. Market Snapshot5.2. Market performance – capabilities Model5.3. international IT Sourcing Market, Sub phase Analysis5.three.1. application Development5.three.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)….persisted

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Without subscribers, LWN would simply not exist. Please consider signing up for a subscription and helping to keep LWN publishing

September 27, 2006

This article was contributed by Stacey Quandt

The 13th annual International Linux System Technology Conference, also known as Linux Kongress, took place September 5 - 8 in Nürnberg, Germany. As a technical Linux event Linux Kongress is smaller in scale than the Ottawa Linux Symposium and Still the conference sessions and tutorials included a number of quality talks from familiar members of the Linux and open source communities such as Heinz Mauelshagen, Lars Mueller, Theodore Ts'o, Volker Lendecke, Alan Robertson, and Daniel Phillips.

A few of the talks stood out. One such talk was Felix von Leitner's presentation titled "Benchmarking, round 2: I/O Performance", in which he tested file system performance on Linux, Windows, OpenSolaris, NetBSD, FreeBSD, and OpenBSD in order to better understand the scalability of different operating systems and IP stack throughput. Based on von Leitner's benchmarking methodology Linux has the fastest file system - reiser4.

The testing theme continued with Poornima Bangalore, whose presentation was on the topic of "Best Practices in Linux Kernel Testing." Her talk detailed many of the key differences between traditional and open source testing. She pointed out that mainline kernel testing is more challenging than testing many other open source projects because of the rapid development and the different sub trees in the kernel: the stable kernels are released every 6 weeks or so, release candidate (-rc) kernels are available every week, and experimental (-mm) kernels are available every few days. Poornima shared best practices regarding kernel configuration, hardware configuration, test automation, test coverage, and first failure data capture.

Heinz Mauelshagen gave a talk on device-mapper architecture features and the related target feature set. In the talk "Linux as a Hypervisor," Jeff Dike discussed the evolution of the hypervisor support in the Linux kernel and how capabilities such as ptrace, AIO and O_DIRECT make a difference to virtual machines. He also talked about the implications of FUSE (filesystems in userspace) and the manageability benefits of exporting a UML filesystem to the host. Lars Marowsky-Bree's presentation on Heartbeat 2 and Xen explored Heartbeat's ability to manage Xen guests. He expanded on Heartbeat's architecture and its integration with Xen to enable resource reallocation, globally ordered recovery actions, and data center automation policies using the Cluster Resource Manager (CRM).

Mattias Rechenburg's presentation on "Using Enterprise Data Centers with OpenQRM" showcased the state of OpenQRM an open source project to achieve high-availability, scalability, and deployment, service and server virtualization on a variety of operation system. In spite of OpenQRM's pluggable architecture, the audience focused on the fact that it depends on a binary module which requires support from Qlusters. The general sentiment from the audience was they were not interested if they couldn't get support from Red Hat, IBM, Hewlett-Packard etc.

In "Real-Time Approaches to Linux," Ted Ts'o shared his perspective on enterprise real-time computing and how it differs from so-called traditional real-time computing. He emphasized the changing requirements in enterprise software and how high throughput is not enough because customers increasingly also require latency guarantees, especially in particular military applications and trading systems. It was interesting to hear about the benefits and tradeoffs of different approaches to enterprise real-time including RTAI and Ingo Molnar's CONFIG_PREEMPT_RT.

Ted suggested that guidelines outlined by his colleague Paul McKenney can be used to evaluate the different approaches to enterprise real-time. This includes quality of service, the amount of code inspection required when a new feature is added, the API provided to applications, the relative complexity, fault isolation, and supported hardware and software configurations.

Although IBM presently has only one customer that plans to deploy enterprise real-time computing, the ability to support large SMP systems, TCP/IP, commercially available middleware, and databases makes it an area to watch in the future. Ted also elaborated on the features of IBM's real-time JVM/SDK (aka IBM Websphere Real-Time v1.0) such as RTSJ (Real-time specification for Java), the Metronome real-time garbage collector, and AOT (Ahead of Time Compilation). The talk emphasized that there are many new applications for real-time operating systems, and in particular enterprise real-time Linux.

Maddog provided the final keynote on having fun with open source in his own inimitable way.

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Big Data and #MachineLearning Algorithms | @CloudExpo #AI #ML #BigData | real questions and Pass4sure dumps

The next BriefingsDirect Voice of the Customer digital transformation case study highlights how online travel and events pioneer leverages Big Data analytics with speed at scale to provide business advantages to online travel services.

We'll explore how manages massive volumes of data to support cutting-edge machine-learning algorithms to allow for speed and automation in the rapidly evolving global online travel research and bookings business.

To learn how a culture of IT innovation helps make highly dynamic customer interactions for online travel a major differentiator, we're joined by Filippo Onorato, Chief Information Officer at group in Chiasso, Switzerland. The discussion is moderated by BriefingsDirect's Dana Gardner, Principal Analyst at Interarbor Solutions.

Here are some excerpts:

Gardner: Most people these days are trying to do more things more quickly amid higher complexity. What is it that you're trying to accomplish in terms of moving beyond disruption and being competitive in a highly complex area?

Onorato: The travel market -- and in particular the online travel market -- is a very fast-moving market, and the habits and behaviors of the customers are changing so rapidly that they have to move fast.

Disruption is coming every day from different actors ... [requiring] a different way of constructing the customer experience. In order to do that, you have to rely on very big amounts of data -- just to style the evolution of the customer and their behaviors.

Gardner: And customers are more savvy; they really know how to use data and look for deals. They're expecting real-time advantages. How is the sophistication of the end user impacting how you work at the core, in your data center, and in your data analysis, to improve your competitive position?

Onorato: Once again, customers are normally looking for information, and providing the right information at the right time is a key of their success. The brand they came from was called Bravofly and Volagratis in Italy; that means "free flight." The competitive advantage they have is to provide a comparison among all the different airline tickets, where the market is changing rapidly from the standard airline behavior to the low-cost ones. Customers are eager to find the best deal, the best price for their travel requirements.

So, the ability to construct their customer experience in order to find the right information at the right time, comparing hundreds of different airlines, was the competitive advantage they made their fortune on.

Gardner: Let’s edify their listeners and reader a bit about You're global. Tell us about the company and perhaps your size, employees, and the number of customers you deal with each day.

Most famous brand

Onorato: They are 1,200 employees worldwide., the most famous brand worldwide, was acquired by the Bravofly Rumbo Group two years ago from Sabre. They own Bravofly; that was the original brand. They own Rumbo; that is very popular in Spanish-speaking markets. They own Volagratis in Italy; that was the original brand. And they own Jetcost; that is very popular in France. That is actually a metasearch, a combination of search and competitive comparison between all the online travel agencies (OTAs) in the market.

We span across 40 countries, they support 17 languages, and they help almost 10 million people fly every year.

Gardner: Let’s dig into the data issues here, because this is a really compelling use-case. There's so much data changing so quickly, and sifting through it is an immense task, but you want to bring the best information to the right end user at the right time. Tell us a little about your big-data architecture, and then we'll talk a little bit about bots, algorithms, and artificial intelligence.

Onorato: The architecture of their system is pretty complex. On one side, they have to react almost instantly to the search that the customers are doing. They have a real-time platform that's grabbing information from all the providers, airlines, other OTAs, hotel provider, bed banks, or whatever.

We concentrate all this information in a huge real-time database, using a lot of caching mechanisms, because the speed of the search, the speed of giving result to the customer is a competitive advantage. That's the real-time part of their development that constitutes the core business of their industry.

Gardner: And this core of yours, these are your own data centers? How have you constructed them and how do you manage them in terms of on-premises, cloud, or hybrid?

Onorato: It's all on-premises, and this is their core infrastructure. On the other hand, all that data that is gathered from the interaction with the customer is partially captured. This is the big challenge for the future -- having all that data stored in a data warehouse. That data is captured in order to build their internal knowledge. That would be the sales funnel.

Right now, we're storing a short history of that data, but the goal is to have two years worth of session data.

So, the behavior of the customer, the percentage of conversion in each and every step that the customer does, from the search to the actual booking. That data is gathered together in a data warehouse that is based on HPE Vertica, and then, analyzed in order to find the best place, in order to optimize the conversion. That’s the main usage of the date warehouse.

On the other hand, what we're implementing on top of all this enormous amount of data is session-related data. You can imagine how much a data single interaction of a customer can generate. Right now, we're storing a short history of that data, but the goal is to have two years' worth of session data. That would be an enormous amount of data.

Gardner: And when they talk about data, often we're concerned about velocity and volume. You've just addressed volume, but velocity must be a real issue, because any change in a weather issue in Europe, for example, or a glitch in a computer system at one airline in North America changes all of these travel data points instantly.

Unpredictable events

Onorato: That’s also pretty typical in the tourism industry. It's a very delicate business, because they have to react to unpredictable events that are happening all over the world. In order to do a better optimization of margin, of search results, etc, we're also applying some machine-learning algorithm, because a human can't react so fast to the ever-changing market or situation.

In those cases, they use optimization algorithms in order to fine tune their search results, in order to better deal with a customer request, and to propose the better deal at the right time. In very simple terms, that's their core business right now.

Gardner: And Filippo, only your organization can do this, because the people with the data on the back side can’t apply the algorithm; they have only their own data. It’s not something the end user can do on the edge, because they need to receive the results of the analysis and the machine learning. So you're in a unique, important position. You're the only one who can really apply the intelligence, the AI, and the bots to make this happen. Tell us a little bit about how you approached that problem and solved it.

Onorato: I perfectly agree. They are the collector of an enormous amount of product-related information on one side. On the other side, what we're collecting are the customer behaviors. Matching the two is unique for their industry. It's definitely a competitive advantage to have that data.

Then, what you do with all those data is something that is pushing us to do continuous innovation and continuous analysis. By the way, I don't think something can be implemented without a lot of training and a lot of understanding of the data.

Just to give you an example, what we're implementing, the machine learning algorithm that is called multi-armed bandit, is kind of parallel testing of different configurations of parameters that are presented to the final user. This algorithm is reacting to a specific set of conditions and proposing the best combination of order, visibility, pricing, and whatever to the customer in order to satisfy their research.

What they really do in that case is to grab information, build their experience into the algorithm, and then optimize this algorithm every day, by changing parameters, by also changing the type of data that we're inputting into the algorithm itself.

It's endless, because the market conditions are changing and the actors in the market are changing as well.

So, it’s an ongoing experience; it’s an ongoing study. It's endless, because the market conditions are changing and the actors in the market are changing as well, coming from the two operators in the past, the airline and now the OTA. We're also a metasearch, aggregating products from different OTAs. So, there are new players coming in and they're always coming closer and closer to the customer in order to grab information on customer behavior.

Gardner: It sounds like you have a really intense culture of innovation, and that's super important these days, of course. As they were hearing at the HPE Big Data Conference 2016, the feedback loop element of big data is now really taking precedence. They have the ability to manage the data, to find the data, to put the data in a useful form, but we're finding new ways. It seems to me that the more people use their websites, the better that algorithm gets, the better the insight to the end user, therefore the better the result and user experience. And it never ends; it always improves.

How does this extend? Do you take it to now beyond hotels, to events or transportation? It seems to me that this would be highly extensible and the data and insights would be very valuable.

Core business

Onorato: Correct. The core business was initially the flight business. They were born by selling flight tickets. Hotels and pre-packaged holidays was the second step. Then, they provided information about lifestyle. For example, in London they have an extensive offer of theater, events, shows, whatever, that are aggregated.

Also, they have a smaller brand regarding restaurants. We're offering car rental. We're giving also value-added services to the customer, because the journey of the customer doesn't end with the booking. It continues throughout the trip, and we're providing information regarding the check-in; web check-in is a service that they provide. There are a lot of ancillary businesses that are making the overall travel experience better, and that’s the goal for the future.

Gardner: I can even envision where you play a real-time concierge, where you're able to follow the person through the trip and be available to them as a bot or a chat. This edge-to-core capability is so important, and that big data feedback, analysis, and algorithms are all coming together very powerfully.

Tell us a bit about metrics of success. How can you measure this? Obviously a lot of it is going to be qualitative. If I'm a traveler and I get what I want, when I want it, at the right price, that's a success story, but you're also filling every seat on the aircraft or you're filling more rooms in the hotels. How do they measure the success of this across your ecosystem?

We can jump from one location to another very easily, and that's one of the competitive advantages of being an OTA.

Onorato: In that sense, we're probably a little bit farther away from the real product, because we're an aggregator. They don’t have the risk of running a physical hotel, and that's where we're actually very flexible. They can jump from one location to another very easily, and that's one of the competitive advantages of being an OTA.

But the success overall right now is giving the best information at the right time to the final customer. What we're measuring right now is definitely the voice of the customer, the voice of the final customer, who is asking for more and more information, more and more flexibility, and the ability to live an experience in the best way possible.

So, we're also providing a brand that is associated with wonderful holidays, having fun, etc.

Gardner: The last question, for those who are still working on building out their big data infrastructure, trying to attain this cutting-edge capability and start to take advantage of machine learning, artificial intelligence, and so forth, if you could do it all over again, what would you tell them, what would be your advice to somebody who is merely more in the early stages of their big data journey?

Onorato: It is definitely based on two factors -- having the best technology and not always trying to build your own technology, because there are a lot of products in the market that can speed up your development.

And also, it's having the best people. The best people is one of the competitive advantages of any company that is running this kind of business. You have to rely on fast learners, because market condition are changing, technology is changing, and the people needs to train themselves very fast. So, you have to invest in people and invest in the best technology available.

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