January 16, 2017

Five Ways in Which AI Is Changing Banking As We Know It

Posted by Mohit Joshi (View Profile | View All Posts) at 5:10 AM

Sense, Analyse, Engage: How to Successfully Monetize Your Fan Ecosystem (Part 1)

There was a time when every neighborhood bank in North America and Europe was acquired by or merged with a larger institution. By 2000, global mega-banks offered fewer choices to consumers looking for competitive interest rates and other services. But the too big to fail banks are now facing competition because of a resurgence of customer-friendly, local banks. There is an even bigger challenge: Technology companies have been applying for financial licenses that would allow them to enter the digital payments space.

As traditional banks grapple with the challenges posed by FinTechs, legacy constraints and traditional operational models, artificial intelligence (AI) is emerging as the savior. In a recent survey that Infosys commissioned on AI adoption across industries, 23% of the nearly 250 respondents, in the financial services sector, confirmed that AI technologies have been fully deployed in their organizations, and these are also delivering up to expectations; 47% of the respondents view AI as being fundamental to the success of the organization's strategy.

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January 5, 2017

Unlock The Hidden Monetization Opportunity In Online Gaming

Posted by Mohamed Anis (View Profile | View All Posts) at 1:56 PM

Online Gaming.jpg

In my last blog post, I outlined how technology can help sports related stakeholders analyze data and delve deeply into what, where, and whom to engage as the target audience. Using proprietary tools, sports event organizers can create a single e-commerce platform to target ads and personalize marketing on match day. An analysis of virtual attendance demographics means that fans get localized delivery of content across the world.

In this blog post, I'm going to discuss how technology can monetize sports making nearly every game an event to remember. Virtual attendance is an enormous development, but it is just the tip of the iceberg. Virtual gaming is now one of the most watched 'sport' in the world with events globally broadcast online and drawing millions of viewers. The 2015 League of Legends Finals, which took place at different venues across Europe, boasted a purse of some $2 million. The five-week long finals drew a total of 36 million viewers with the actual final at the Benz Arena in Berlin, drawing a peak of 14 million. The 17,000-seat capacity venue was sold out in record time. Compare these numbers with the 2014 sell-out final in Seoul, which drew more than 60,000 fans. Even real sports players are getting in on the act with the Brooklyn Nets' basketball player Jeremy Lin sponsoring his own 'e-gamer' team.

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November 24, 2016

Have You Taken Robust Measures to Verify Data?

Posted by Srinivasa Gopal Sugavanam (View Profile | View All Posts) at 11:31 AM

What Makes a Human Click! [Source:]

Have you ever wondered if the lion's share of data your organization collects is accurate and actionable? It's a question more and more executives are asking themselves as 'trend articles' on respected social media sites have turned out to be outright fabrications. With no supervision of human editors, the algorithms in charge of selecting news for the 'trending articles' have a field day.

I'm specifically referring to a recent investigation by Washington Post into Facebook's Trending news section. They discovered that over a three-week period beginning in late August, five news articles on Facebook were, 'indisputably fake.' Another three articles on Facebook's Trending news section were 'profoundly inaccurate'. My favorite fake yet trending article uncovered by the Post investigation? Apple CEO Tim Cook's announcement that consumers should prepare themselves for the release of the iPhone 8, which will include a feature that allows users to conjure up a physical Siri who comes out of the phone and helps with chores.

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November 15, 2016

What the Infosys-ATP Partnership Taught Me About Business

Posted by Mohamed Anis (View Profile | View All Posts) at 9:01 AM

What the Infosys-ATP Partnership Taught Me About Business

A famed tennis instructor enjoyed telling those at his academy that no matter how many lessons they took and how much time they spent on the court practicing, the game finally came down to this: If your opponent returns your shot and the ball gets over the net, he's going to win. Plain and simple.

Tennis can be a lot like the competitive world of business, especially when you're on the technology side of things as I am. My clients naturally want to get started on their digital journey as fast as possible, because frankly, this journey involves wading through uncharted territory and often takes them out of their comfort zone and forces them to measure up against competition. Indeed, I am often in a situation where many of my clients demand massive cost savings or significant revenue uplifts (or both!) in short timeframes. I have grown accustomed to hearing comments like: "We need to be agile," "Our technology has to be transformative," "Bimodal is key," and "We need to bring in the A team," you get the drift?

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November 14, 2016

Tennis and Technology: The Winning Duo

Posted by Rajesh K. Murthy (View Profile | View All Posts) at 5:52 AM

Tennis and Technology: The Winning Duo

The year: 1982. The place: Wimbledon's famed Centre Court. The match: the men's finals that pitted two former champions of the grass-court tournament against each other - John McEnroe and Jimmy Connors. After the match, which McEnroe won with a serve and volley delivered with almost surgical precision, a sportscaster asked Connors why he thought he had lost. 'Usually by the time the ball gets to me, it's the size of a basketball,' explained Connors, one of the game's best returner of serves, but this time, 'McEnroe's serves were so fast and precise that by the time the ball got to me, it was the size of a pea.'

What made McEnroe play what some fans think is his best match ever and one of the best in the history of tennis? And what made the tenacious Connors lose so decisively? In the 1980s, those questions were up to tennis analysts and fellow ATP professionals to discuss from their respective perspectives. A generation later, the players have changed but the grass court remains. So do matches that are filled with non-stop action.

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August 31, 2016

Are we at the threshold of the 'age of automation' in Healthcare?

Posted by Ravikiran Taire (View Profile | View All Posts) at 5:51 AM

Are we at the threshold of the 'age of automation' in Healthcare?

Purposeful automation and artificial intelligence are not only revolutionizing the relationship between doctor and patient, they are also transforming the way all kinds of processes - from medical imaging to surgery - take place. For instance, I was amazed to read recently that scientists had discovered 97 new areas of the brain. This, even though mapping the human brain has been a 100-year quest in the field of neuroscience. How did the major new discovery happen? Don't be surprised, but this was achieved by using automation and machine learning to map the brain's cerebral cortex.

The latest findings will, according to the academic paper's authors, "enable substantially improved neuroanatomical precision for studies of the structural and functional organization of human cerebral cortex and its variation across individuals and in development, aging, and disease." Simply put, unlocking the brain means unlocking potential cures to many elusive and deadly conditions and diseases. Or at the very least, doctors will be able to determine how certain neurological disorders occur in the first place.

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August 23, 2016

Seeing More Than A Stellar Tennis Match, Much More...

Posted by Navin Rammohan (View Profile | View All Posts) at 6:17 AM

Seeing More Than A Stellar Tennis Match, Much More...

Sitting courtside and watching the yellow ball slam back and forth can be a heart racing, adrenaline rushing experience. If you are a diehard tennis fan like me, you'd see why tennis is a game of superlative physical and mental caliber. I'm taking in an exciting match between Andy Murray and Marin Cilic at the Western & Southern Open Finals in Cincinnati, one of the most important hard court tournaments leading up to the US Open. The raw power of the players and fan fervor aside, there is something else enriching my experience here ─ a layer of data and insights into the ongoing match and players. These insights are like tiny stories around every point scored or lost, cumulatively enhancing the understanding of the game and its practitioners that up until now one may have thought one knew well. Let me give you some examples:

  • 98 hours and counting: In 2016 Andy Murray spent 5886 minutes on court in the ATP World Tour, which is 1819 minutes more of competitive tennis this season than Marin Cilic.

Continue reading article on Medium»

July 26, 2016

Telematics Makes a Comeback

Posted by Manish Tandon (View Profile | View All Posts) at 12:33 PM

Telematics makes a comeback

The world was awestruck when, about 20 years ago, General Motors unveiled its OnStar system in its Cadillacs. The service connected the driver via a Global Positioning System (GPS) satellite to a live OnStar agent with the press of a button. The driver could also speak to the agent with two hands on the steering wheel because the conversation was conducted over in-car speakers and a dashboard microphone. OnStar could also sense if your car had been in an accident and immediately call for an emergency medical response team to be sent to the site of the crash. And, of course, it could remotely unlock your car door if you left the keys inside. The technology was known as telematics, and it was heralded as the future of the luxury car.

Today, GM has moved OnStar beyond just Cadillac to all of its models as an option. If you think back to how different the world was in those days - the Internet was still gaining traction among mainstream consumers. But with the passage of time, OnStar became less relevant because the services it offered in the mid-1990s are now easily accessed on a smartphone. The death-knell of telematics, right?

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May 9, 2016

The Power of Visualizing Big Data

Posted by Sundaram Ganapathy (View Profile | View All Posts) at 10:41 AM

Take a look at deforestation in Sumatra over the course of the past 12 years with Explorable Visual Analytics (EVA)

An interesting argument is being played out in the United Kingdom, where the Conservative government is reviewing a program known as Innovate UK. The majority party, which came to power promising British voters more fiscal restraints on big government spending, is reviewing a lot more than just funding to corporate innovation programs. Taxpayers, however, can be persuasive, and the question now facing the British people is whether the government should continue helping to fund promising technology startups or instead give loans to the companies in question.

That debate has sparked the greater question as to whether innovation can be created by providing the right people with the right tools and the right space and then 'bottling it up,' so to speak. The Financial Times recently pointed out that the British aerospace giant Rolls-Royce spent some £650 million on research & development last year. It also received £35 million through the Innovate UK program. Would that extra £35 million have been missed by a technologically-savvy company like Rolls-Royce? I tend to think every last penny that goes towards innovation is important, so my answer would be yes in the grand scheme of things.

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February 26, 2016

The Era Of Open Source Platforms Is Here

Posted by Ganapathy Subramanian (View Profile | View All Posts) at 5:06 AM

The Era of Open Source Platforms Is Here

Today, the world of open source is witnessing major innovations, and at a considerably high pace. Intense focus from academia, Open Source communities (Hive, Spark, Apache, etc.) as well as industry leaders are making this possible, to a large extent. In addition, with service providers and other IT players adequately providing support on such open source components, enterprises are increasingly shifting their workloads to an open data architecture. Particularly, enterprises are making this move as data is becoming exponential - in terms of volume, variety and velocity - and license costs for proprietary data platforms are rising.

They are beginning to experience unprecedented cost-performance benefits with open-source technologies compared to proprietary systems. For instance, Spark, which uses in-memory capabilities of the underlying Hadoop with its own map reduce, is 100 times faster than a traditional Hadoop-based system.

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January 28, 2016

A Data-driven Perspective from Davos

Posted by Sandeep Dadlani (View Profile | View All Posts) at 7:48 AM

A delegate browses the research report, Amplifying Human Potential
A delegate browses the research report, Amplifying Human Potential: Education and Skills for the Fourth Industrial Revolution, launched by Infosys at WEF 2016.

Every year, a few thousand professionals gather in the snowy mountains of Davos, Switzerland, to try to make the world a better place. They attend seminars, speak at forums and network among themselves to gain a better understanding of trends and innovations in the race to identify the next blockbusters. Old friends meet again, networks are expanded and new friendships are forged. Often, these connections go on to have some kind of meaningful impact in the year ahead.

This year at the World Economic Forum's Annual meeting in Davos, I had the great honor of participating in a panel that discussed the value of data in business decisions. The panel was led by Aimia, a Canadian data-driven marketing and loyalty analytics company, and included participants from Canada's Globe and Mail newspaper, universities, banks such as HSBC, the Harvard Business Review, as well as a few physicians.

The panel was called Leadership in the Data Era: How Innovative Leaders Balance Data Versus Intuition to Drive Effective Decisions, and it was held in one of the satellite hotels WEF uses in Davos.

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November 18, 2015

Making Data Talk ─ On Courts, Fields, and Grounds

Posted by Ganapathy Subramanian (View Profile | View All Posts) at 4:35 AM

Infosys ATP Beyond The Numbers: Back From The Brink

The eminent historian Doris Kearns Goodwin says that long before she began writing Pulitzer Prize-winning novels, she got a knack for recording events in the form of a scorecard whenever her father took her to a baseball game. Baseball, like its older cousin cricket, can be a complicated sport filled with a dizzying array of statistics. There are reams of data on each player, his batting average, runs scored in each game, and the number of home runs in the regular season, just to name a few. Those stats are only the tip of the iceberg.

Indeed, keeping meticulous scorecards and calculating player data caches is one reason Goodwin became as famous a historian as she was a devoted sports fan. She loved using data to analyze events. If only she had the power of analytics that sports fans now enjoy. The truth is, there's always been data surrounding our favorite sports. Think match data from every ATP tennis game going back many decades, or scorecards from very old cricket games that can be found on the Wisden website (or in the annual Wisden Cricketers' Almanack, before the Internet). But until recently, it was not possible to make all this data talk meaningfully. That is because, the available computing power wasn't sufficient to keep up with it all.

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September 16, 2015

Risky Business: Risk Identification In Insurance

Posted by Manish Tandon (View Profile | View All Posts) at 10:43 AM

Risky Business: Risk Identification In Insurance

Given that insurance is all about risk and innovation is inherently a 'risky' process, it is no wonder that insurance companies are struggling with innovation. The magical ingredient that can really help insurance companies overcome this interesting dichotomy is data. We all know how insurance companies love their structured data, their rating tables, their statistical analysis...yet all this is post facto data, which at best is a mirror to history. With the proliferation of data sources (both structured and unstructured) and the impending revolution that is the Internet of Things (IOT) ... the best is yet to come.

I believe that the innovative use of data can really help insurance companies innovate in an area that is most critical to them: risk identification (which leads to new product development). What if insurance companies could predict their customers' insurance needs and offer tailored products and services? What if they could bring the 'power of one' to insurance underwriting?

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September 10, 2015

Time To Play Tennis With Insights

Posted by Rajesh K. Murthy (View Profile | View All Posts) at 6:14 PM

Time To Play Tennis With Insights

Every tennis fan is familiar with the on-court clamor of the all-time great John McEnroe. Every time a line judge would deem one of the balls he hit to be out of bounds, McEnroe would yell at the chair umpire: "You cannot be serious!"

Over the last decade, sensors have been able to measure whether or not a ball touched the line. It's a lot more difficult to get a computer to change its mind about whether the ball you hit was or wasn't in-bounds. From the moment the score keeper logs a point, a new layer is added to the pool of big data around the sport - how fast, how sharp, how better, how responsive to surround factors, and so on. But only if insights are being garnered, beyond score keeping.

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Helping Tennis Be More

Posted by Sumit Virmani (View Profile | View All Posts) at 12:24 PM

Infosys is the Global Technology Partner for The ATP World Tour [ Source: ]

"Experience is a great advantage. The problem is that when you get the experience, you're too damned old to do anything about it," said Jimmy Connors.

But, what if players and fans had the opportunity to do something learn from the experience of the all-time greats in tennis, and also had instant access to decades of data and insights to continuously guide them. Would that change the game? Would that change the viewing experience? Would the adoption of such state-of-the-art technology bring innovation to tradition?

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August 19, 2015

Why Algorithms Are In Everyone's Future

Posted by Dr. Srinivas Padmanabhuni (View Profile | View All Posts) at 9:40 AM

Stanford engineering students teach autonomous cars to avoid obstacles [Source:]

Recently, I was reading a new book about the Internet of Things (IoT) and I was struck by something that the author had written: As markets grow larger and more international, the segmentation of those markets will become all the more precise until each market is segmented to one consumer.

One person! We can thank algorithms for this kind of ultra-focused segmentation. To the average person on the street, an algorithm is nothing more than a mathematical recipe of sorts. But large enterprises are learning to write algorithms that can account for human biases, thereby making the machines that run them more lifelike than ever. We live in an age in which algorithms rule. No longer will senior executives run companies on gut instinct. In the near future, algorithms will be at the core of deep analytics for just about everything: The IoT, financial trading, and, yes, even the driverless car.

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February 13, 2015

How Big Data Is Transforming Finance

Posted by Rajashekara V. Maiya (View Profile | View All Posts) at 7:57 AM

How Big Data Is Transforming Finance
There is so much data that even the savviest global banks don't know quite what to do with all of it

Recently, I was reading about a fascinating new push for graduates with data mining experience in the financial services field. Now here is something the world's big economies should be concentrating on: the science and mining of Big Data. Indeed, the consultancy McKinsey predicts that as soon as 2018 the United States alone could be facing a shortage of up to 190,000 people with data mining experience.

It's not that there aren't plenty of data specialists already. It's just that the amount of data has grown exponentially in the past few years. Think about this: 90% of the data in 2014 was created in the last two years. In 2015, the same amount of data will be created in one year. And in 2020, it will take less than a second! Also, there will be 80 billion sensors in devices and 100 million viral connections per minute by 2020. In fact, there is so much data that even the savviest global banks don't know quite what to do with all of it. What they do know is that hidden in the gigantic haystack are a few priceless needles. They are struggling to find them because if and when they do, their financial services operations will reap the benefits.

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November 27, 2014

Insurance Companies Face Huge Regulatory Reforms

Posted by Ravi Kumar S. (View Profile | View All Posts) at 7:36 AM

The insurance industry has been rattled out of its comfort zone by rapidly growing regulations

Every sector has its share of regulations, some more than others. When a deluge of new regulations hits an industry all at once, that's when you begin to hear words like "concern" bantered about in the offices of c-level executives.

Around the world, the insurance industry - as venerable and traditional an industry it can be - is indeed concerned. It has been rattled out of its comfort zone by rapidly growing regulations. These regulations and compliance standards differ greatly from region to region, but one thing is clear: The global insurance industry of tomorrow will look nothing like the one that's existed for the better part of 250 years.

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November 18, 2014

How Connectivity Engages Patients & Healthcare Professionals

Posted by Ashish Goel (View Profile | View All Posts) at 7:55 AM

Soon we'll all be plugged into a connected healthcare network in which doctors can track our slightest missteps

The life sciences sector is a tale of two worlds. On the one hand, virulent strains of diseases are taxing governments and healthcare systems worldwide. Experts predict that there will be a significant shortage of doctors over the next two decades. And pharmaceutical R&D pipelines are drying up.

On the other hand, mobile technology is revolutionizing the industry. Patients will be able to relay important health information to their caregivers at the flick of a wrist. Epidemiologists will be able to track and predict outbreaks of disease by parsing mountains of data they receive from patients around the world. And the traditional visit to the doctor's office - with all that waiting in the reception room, surrounded by sick patients - might be a thing of the past.

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October 21, 2014

Insurance Companies Learn That Leaner Is Better

Posted by Pankaj Kulkarni (View Profile | View All Posts) at 6:55 AM

Learning to leverage data in the insurance industry [Source:]

I don't know about you, but the recent news that an eminent French academic has won the 2014 Nobel Prize in economics reminded me of the theory of so-called 'perfect competition.' One thing you learn upon getting a job in the real world is that perfect competition is hard to find.

In fact, that's one of the reasons Jean Tirole won the latest Nobel in economics. He began performing some pretty amazing research after the onset of the global economic crisis that showed how innovation is stifled in many industries that are dominated by a few large companies. Instead of there existing perfect competition between companies, the very biggest enterprises tend to set prices (simply because they can), sit back, and bask in the glory of a lack of any substantial competition.

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September 26, 2014

Publishing Sector Blazes A New Tech Trail

Posted by Manish Tandon (View Profile | View All Posts) at 7:42 AM

Rethinking the business of publishing [Source:]

Drawing parallels between the modern pharmaceutical and book publishing businesses is extremely tempting. If you're a book agent at one of the few, big publishing firms that remain, your duties are not unlike that of an R&D chief in Big Pharma. That is, you're looking for only one or two blockbuster products (in this case, books) every year.

In the rarified world of book publishing, your success depends on finding literary Solvadi. That's because in both industries, it's a numbers game. The company wants one or two hugely successful products on its hands so that marketing, distribution, and every other administrative task are focused on as few products as possible. The company isn't spread thin promoting an extremely specialized drug or a book of offbeat poems that might be read by 100 people. They want widespread commercial appeal.

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July 14, 2014

Leveraging the Internet of Everything

Posted by Sanjeev Arya (View Profile | View All Posts) at 6:26 AM

Maximizing value from data explosion - social development with insights than mere intuition [Source:]

When oil prospectors began striking it rich in the American Southwest during the 19th century, each one would hope for a "gusher." That meant that he had drilled deep enough into a well filled with oil and the pressure under the earth would force it up in a large plume. Gushers took a while to cap, and millions of gallons could be lost over the landscape until rig workers got them under control. But once it was capped and a pipeline brought in, the prospector could expect to tap into exponentially more oil for weeks and even months. The story of the 19th century oil boom is not unlike what's happening today with the global data boom.

Enterprises are benefiting from the fact that exabytes of data (that's 10 to the power of 18) are created every day. The most successful enterprises control those gushers of information, cap them off, and direct them in pipelines to the right places where that data will be parsed and utilized. The World Economic Forum's latest Global Technology Report (GTR) points to this data explosion as part of the inevitable growth of the Internet of Things. So far, only a small fraction of things that have the potential to be connected digitally are indeed connected as such. As more devices - from sneakers to toaster ovens - become connected to the IP networks, all that data will begin a profound transformation. According to the WEF's experts, we're going to begin to see significant amounts of data result into actionable information.

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July 7, 2014

Why 'Digital' Emotions Can Be Powerful

Posted by Puneet Gupta (View Profile | View All Posts) at 4:56 AM

Exclusive: Cannot control emotions of users, Facebook COO Sheryl Sandberg tells NDTV [Source:]

If the onset of the age of Big Data has taught us anything, it is that in the ultra-competitive global marketplace, your enterprise must be able to harness the power of Big Data and ultimately transform it into insight.

The quest to excel in the field of analytics and corporate IT involves the parsing of raw data in such ways that sometimes, just sometimes, consumers feel that their privacy has been compromised. It's an ongoing debate that gets more interesting and intense by the day. And yet, the fruits of Big Data and analytics give us better products and services that are aimed and customized more closely to our individual needs. Our expectations become heightened because enterprises keep raising the bar when it comes to the quality of their interactions with us and the way in which they offer us their wares.

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April 21, 2014

What Goes Into Making Critical Decisions?

Posted by Soundararajan S (View Profile | View All Posts) at 10:12 AM

Taming Big Data [Source:]

Crowd-sourcing is revolutionizing the world of decision-making. From personal decisions outsourced to family and friends ("Does this dress make me look fat?") to corporate decisions that determine the shape new products will take, (Presenting prototypes to customers for their reactions, and then going to production.) crowd-sourcing it lighting the path ahead.

But new research points to a related phenomenon that some enterprises are only now seeing as a risk to their ability to make critical decisions: crowd rule. That's right - the same types of crowds that are a boon to that product manager can mire the organization in a sea of Big Data to such an extent that the company becomes nearly paralyzed in its efforts to take decisive actions.

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April 9, 2014

Behold Consumer Data's Transition To Push From Pull

Posted by Ajay Anand (View Profile | View All Posts) at 10:43 AM

What is the Digital Business [Source:]

If you have friends in the financial services industry, you've probably heard them at one point or another speak of the merits of working for either the "buy side" or the "sell side." The former consists mainly of private investment firms; the latter includes big banks that offer price targets and investment advice to the public.

These two sides of the financial world - public and private - keep the capital markets humming. In fact, in just about every industry you tend to find complementary entities. It's how prominent each side is in every situation that allows you to gauge what the industry is going through at the moment. In finance, sell side analysts became famous in the late 1990s with their recommendations of red-hot Internet stocks. One could argue that the buy side crowd drives the market to a greater extent today.

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March 10, 2014

Understanding Digital Customers

Posted by Puneet Gupta (View Profile | View All Posts) at 10:39 AM

Digital Experiences in Retail [Source:]

One of the most popular action movies of the late 1980s was Robocop. I was thinking about it recently because they've recently released a remake of what has become a sci-fi classic. The half-robot, half-man would interrupt crimes in progress and tell the thief, without a whiff of emotion: "Dead or alive, you're coming with me. Thank you for your cooperation." Part of the fun of the movie was to see Robocop face criminals so resolutely.

Sometimes I recall Robocop when I encounter a salesman at a favorite department store. I wonder to myself if he is indeed half robot and doesn't display the slightest effort to try to get to know my fashion preferences. Therein lies the challenge of today's enterprises what are armed with better tools and more sophisticated technology than ever before. Despite those tools, do they risk distancing themselves for the consumer rather than creating closer connections to them?

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February 25, 2014

Geosensory Data: The Next Big Innovation in Finance

Posted by Rajashekara V. Maiya (View Profile | View All Posts) at 8:37 AM

Big Data in Banking [Source:]

As an organization that enables enterprises around the world to realize their goals, we're never at a loss to explain the power of Big Data. Whether it's in retail, healthcare, or even banking, the more a company knows about its customers, the more it's able to make lasting connections with them.

I'm reminded about just how powerful Big Data has become by reading a profile about a handful of MIT graduates who were intent on creating a hedge fund. Now for those of you who don't follow the world of alternative asset management, hedge funds haven't exactly had the easiest last few years in the wake of the global economic crisis. It's gotten more challenging for hedge fund managers to allocate capital in such a way that it creates a "hedge" against more traditional investments.

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January 10, 2014

Game Theory & the Future of Financial Services

Posted by Rajashekara V. Maiya (View Profile | View All Posts) at 5:58 AM

Applying Game Theory to Your Trading [Source:]

One of the more talked-about movies of the winter season is "The Wolf of Wall Street," a high-octane story about the greed and excesses of a bunch of poorly behaved stockbrokers in the early 1990s.

An academic view of the movie would remind us that game theory - the same tenets of which explain why cricket players decide on certain strategies in order to win their matches - is front and center in any story about the stock market. That's because the capital markets are very much the end result of passionate, very emotional decisions as to how best to invest money. Financial services firms have been trying to tap into how their customers think and act as a way of better serving them - and, of course, improving their bottom lines.

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November 5, 2013

InfyTalk: How IT Creates An Enterprise Road Warrior

Posted by Puneet Gupta (View Profile | View All Posts) at 5:39 AM

A Lesson from Star Trek [Source:]

Last week I was thrilled to learn that the Voyager spacecraft had traveled farther than any man-made object in history. After an 11 billion-mile, 36-year journey, it had passed out of our solar system and into interstellar space. Star Trek fans would say that Voyager is boldly going where no one has gone before.

The spacecraft's transmissions, which now take 17 hours to reach Earth, have given scientists valuable insights on our solar system. What's most amazing to many of us in the digital age is that the computer onboard Voyager was the finest of its kind when the probe left Earth in 1977, yet it's less powerful and makes fewer calculations than your average smartphone.

Voyager's latest feat got me to thinking about another kind of traveler. He or she is what I like to call the "enterprise road warrior." Like a spacecraft whose mission it is to provide scientific data, the road warrior is a corporate satellite of sorts. He provides valuable insights and data on the global markets to the organizations with which he partners. And he does so by using mobility to his advantage.

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October 23, 2013

Mounds of Data Vs. Useful Knowledge

Posted by Lokendra Shastri (View Profile | View All Posts) at 5:39 AM

Introducing the Knowledge Graph []

The volume of digitally available data is growing by leaps and bounds. Estimates of this volume have exceeded astronomical scale and introduced words in our lexicon such as peta, zeta and exa. But at the same time, this abundance of data has widened the gap between available data and the knowledge we're able to glean from it.

Not surprisingly, there has been a steady rise in the number of Internet experts who think there is a tectonic shift from online search to online discovery. If this shift is indeed taking place, enterprises will begin to experience a boom in actionable intelligence. To put it another way: They will be able to transform data into knowledge and actionable intelligence.

As it stands now, social media produces an enormous amount of unstructured data within both companies and society as a whole. Add to that the semi-structured data that companies find scattered across emails, activity logs, and enterprise applications. It's important for organizations to understand the meaning of all this data and to discover its various connections and relationships in order to derive value.

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September 10, 2013

Business Collaborations That Are The Kat's Meow

Posted by Sandeep Dadlani (View Profile | View All Posts) at 7:10 AM

Android KITKAT 4.4 -- The future of confectionery [Source:]

Arsenal, one of the world's best soccer teams, outfits its players with shirts that boldly urge us to "Fly Emirates." Some of the leading drivers in America's biggest sport, stock car racing, are emblazoned with the logos of brands seemingly unrelated to super-fast automobiles such as chewing gum and laundry detergents. Indeed, sports teams have long had a symbiotic relationship with companies in entirely unrelated sectors when it comes to getting their messages out.

Perhaps the most noteworthy of all marketing collaborations is the recent KitKat candy bar by Nestlé that comes wrapped and ready to eat in the shape of an Android. This cross-marketing effort is the result of Google wanting to make a splash during its 15th anniversary year. Although consumers are eating up the campaign, Google claims very little money changed hands between it and the Swiss food giant. The collaboration was more about making a statement and having fun, they said. It was about the unexpected.

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September 4, 2013

Putting a Price On Information

Posted by Simon Towers (View Profile | View All Posts) at 10:52 AM

Google Nexus 7 tutorial: customizing My Library [Source:]

A while ago, when the popular search engine Google crashed for five minutes, the press reported that the inability of people around the world to search for celebrity gossip and misbehaving professional athletes caused a "short-lived worldwide freak-out."

This is the same Google, of course, that has proposed building a modern-day digital library that would be the repository of all the world's information.

The way we think about what exactly is information and what's worth saving says a lot about us as well. In America, a number of federal agencies are filing proposals as to how the public should be able to access the fruits of research conducted by the government. These proposals focus on academic research of a scientific nature. A lot of what gets discovered and innovated in university laboratories comes in part from public grants. The idea is that if taxpayers are footing the bill for scientific works, then any of those taxpayers should ultimately be able to access the results. Whether a significant section of the population actually comprehends the information presented in a typical scientific research paper is not the question; it's the existence and open access to such information in a public forum that is at stake. What also needs to be addressed is who can get access to what. Presumably a biologist who would like to access breaking research at the Centers for Disease Control in Atlanta might be required, via his university or corporate laboratory, to pay a nominal amount for this to become a viable economic model. However, as a citizen, if he sought to access the same information from his residence, he must be able to - albeit in lesser detail - without having to pay for it.

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August 14, 2013

Utilities Business Is No More Business As Usual

Posted by Ashiss K Dash (View Profile | View All Posts) at 12:36 PM

Infosys Plug Load Manager: Monitor and control plug loads in your offices, stores or manufacturing plants.

I predict that in the next 10 years we will see more profound transformation of the energy industry than what the last century has seen since the days of Thomas Edison.

What is already happening is that consumers are no longer willing to pay their utility bills without a good idea where their dollars go. Energy isn't cheap, and consumers are cost-conscious in this economy. They want their utilities to be more transparent and to communicate with them not unlike the way giant retailers do. Are utilities becoming more aware of how they brand and market themselves? Yes. It's already happening.

Plus, these venerable companies are increasingly looking at themselves as service providers that must be responsive to their customers' demands, especially as those demands involve value. It's a sea change, all right. For the better part of a century, utilities were solely commodity providers. They sent their meter readers out and collected bills. Now companies like FPL, SCE and PG&E are engaging consumers extensively with social media tools. The trend seems to be catching on

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May 24, 2013

Look, Big Data's on TV!

Posted by Rajeev Nayar (View Profile | View All Posts) at 11:35 AM

Over the past decade, the Media & Entertainment sector has been completely disrupted by digital technologies. First there was the transition of content, from creation to delivery, to digital formats. Then the arrival of the new-age-device-loving digital consumer significantly altered established norms of content consumption. This was followed by the emergence of innovation-led, technology-fueled, consumer-focused new economy companies, which proceeded to completely rewrite all established rules of the M&E business.

Content consumption is still on the rise; it's just that the rules of engagement have changed irrevocably. Consumers now demand innovative content, at the time, place, device and platform of their own choosing, and, generally, free of cost. Consequently, the industry faces the massive challenge of reinventing every aspect of content, from development through distribution, and from pricing to marketing to service, around consumer preferences and expectations.

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May 21, 2013

How to Make a Hit? There's a Numerical Formula for That

Posted by Simon Towers (View Profile | View All Posts) at 7:11 AM


Sometimes I think, it's only a matter of time before engineers will come up with software that can produce posts like this one. In other words, I'd only have to plug in a few keywords on what I'd like the theme of my InfyTalk post to be. And a computer will turn out a beautifully written, 700-word essay. No other human involvement would be necessary. In fact, here's an article from the New York Times that supports this hunch. It details how one of the last so-called creative bastions of Hollywood - the movie screenplay and those who write it - is an enterprise that is about to change dramatically. That's because statisticians claim to have developed ways to detect winning formulas of movies using data.

Such a development shouldn't come as a surprise. Look at communications, especially through a political campaign. In that realm - once ruled by intangibles like whether a candidate "looked presidential" - data is now king. Pollsters feed the reams of data to campaign statisticians, who in turn develop a candidate's platform and speaking points. In Hollywood, studios often take gambles on films worth hundreds of millions of dollars. The idea is that by supplying themselves with enough data, they can remove a lot of this risk.

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February 27, 2013

Big Data Grows Up

Posted by Vishnu Bhat (View Profile | View All Posts) at 3:56 AM

It's difficult for any of us to imagine just how revolutionary the concept of a public library was more than a century ago. It was a place where anyone could go and borrow a book with the promise that after you'd read it, you would return it so that someone else could enjoy it, too. Before the development of public and free libraries, vast collections of books and information were status symbols of the rich. They possessed private libraries, and the number of books you possessed was one of the main measures of your power and prestige. Do some rich people still keep massive, private collections of books? Sure. But their decision to collect books isn't at the expense of the greater society. Because free, public libraries exist, pretty much everyone has access to the same kind of information.

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February 20, 2013

Big Data: The Big Deal

Posted by Vishnu Bhat (View Profile | View All Posts) at 7:40 AM

While we all see its immense potential value for business, few of us business users have found the means to really harness Big Data. Curiously,  this has only made us more resilient in our quest for answers. Everyone wants those elusive insights, better time-to-insight, with greater accuracy, and in a form that can be readily consumed and acted upon. Because there is no doubt that when we unlock the value inherent in our enterprise's Big Data we also uncover invaluable business advantage. And yet, this realization is of little value unless it also comes with the means to gather, process and act on this Big Data.

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February 15, 2013

The Advantage of Knowing Your Customer

Posted by Sandeep Dadlani (View Profile | View All Posts) at 8:42 AM

BLOG_49 2.jpg

Von Clausewitz famously wrote that you should know your enemy. That's mighty helpful advice for a battlefield commander. That said, I have a piece of advice for busy executives who want to get some tactical advantages for themselves and for their teams: Those 19th-century military analogies only go so far.

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February 13, 2013

The Year of Big Data in Banking

Posted by Rajashekara V. Maiya (View Profile | View All Posts) at 5:59 AM

American retailer Target made a lot of headlines last year for figuring out that a teenager was pregnant, before her family did, simply based on her buying behavior. A poignant yet persuasive case for data analytics. 

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January 16, 2013

Positioning your Enterprise for the Big Data Revolution

Posted by Vishnu Bhat (View Profile | View All Posts) at 5:07 AM

big data trends infographic

One of the great marketers of all time - Alfred Sloan, the management expert who built General Motors during the early 20th century, structured his stratagem so that consumers felt they were always aspiring up to the next brand from General Motors. At automobile shows, for instance, there was always a tantalizing show of technologies and features on next year's models so that consumers had a hunch that if they didn't rush into showrooms, they'd be missing out on something big. Now, there's a flip side to that feeling, however. It's a sense of not knowing what seems important to know when you think that you might be missing out on a certain sort of advancement. And, I suspect, when it comes to big data and our own organization's adoption of it...especially for some of us who are charged with staying ahead of the big data curve, that feeling can be quite an ache at times!

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December 17, 2012

Taming Big Data

Posted by Vishnu Bhat (View Profile | View All Posts) at 6:52 AM

I am fascinated by what an education policy expert said about the wonders of the Information Age - Students have greater and faster access to the world's repository of knowledge than at any point in history. Yet both standardized test scores and graduation rates continue to decline in America. His observation encapsulates much of what the corporate world struggles with in the shadow of Big Data. There's more information at their disposal than ever before. But unless they know how to decipher and curate these seemingly endless streams of information, what good does any of it do anyway? Like a student who fails a test despite having the great libraries of the world at his fingertips, Big Data isn't worth much if an enterprise doesn't know how to harness its power.

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September 19, 2012

The Potential Pitfalls of Data Mining

Posted by Sanjay Dalwani (View Profile | View All Posts) at 8:51 AM

When it comes to sharing personal information with retailers, consumers are behaving a little wary - even testy -- of late.  Let me share a story with you.  A friend of mine received a $10 gift card from Starbucks as a reward for filling out a marketing survey.  When the card arrived, a sticker urged him to register the card online in order to receive an additional gift of a free drink on his birthday.  Since his birthday was only a few days away, he decided to take advantage of the offer.  When he clicked through a few screens, he saw he had to fill out so many required fields - read, give up so much data - that he realized it was not worth another grande latte.

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August 6, 2012

Text mining: Digging for gold within the syntax

Posted by Akash Bhatia (View Profile | View All Posts) at 6:22 AM


This post is co-authored with Chantrelle Nielsen.

Data mining is so yesterday.  Today, we're engulfed in text mining - the use of computer processing to understand patterns and trends in text - is becoming a more valuable business tool every day. Text mining technologies have developed at a rapid pace in the past decade and have become relatively sophisticated, but there is still no "out-of-the-box" text mining solution that plugs into existing business intelligence (BI) systems. That's because every business has unique discovery needs. And every business has its own internal unstructured data to consider. Most companies simply rely on software alone. The right solution is a mixture of human intelligence and effort along with software. Art and science. Thankfully, text mining can be applied to any available data source, provided it is made of or can be translated into text.

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August 1, 2012

Supply and demand management: Optimizing the flow

Posted by Vikram Vij (View Profile | View All Posts) at 5:44 AM

We've all seen headline-grabbing stories on supply chain disruptions caused by tsunamis, floods and other natural disasters. These occurrences create volatility that results in manufacturers scrambling for alternate suppliers, production delays and unhappy customers who are quite vocal.  But, I think there as large, if not greater, systemic challenges in supply chain and demand side planning, especially for smaller outfits in emerging economies.

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June 20, 2012

Brands and retailers on social media: A twist in the tale

Posted by Sudhir Holla (View Profile | View All Posts) at 6:59 AM


Of one thing I'm certain:  When it comes to business online, Facebook is no Amazon.  When Amazon first went live in 1995, it sold books.  Today, the site has branched out into being a purveyor for countless other mass-market products that have nothing to do with literature.  For one, Facebook has not effectively aggregated retailers.  Yes, it has more members that any other site and therefore legions of potential consumers.  But the site has proven to have far greater potential as a marketing tool and as a potential ally in analyzing buyer habits than fostering sales.  When it comes to e-commerce, so far, Facebook is simply an enabler and not an effective retail platform.

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February 17, 2012

Data - structured or unstructured - means business

Posted by Akash Bhatia (View Profile | View All Posts) at 11:33 AM

This post is co-authored with Chantrelle Nielsen.


It's estimated that last year, the world created four exabytes of data - that's four quintillion bytes, or more than the combined knowledge base of the last 5,000 years.  I don't know how much an exabyte is. But it seems like a lot of information to me.  So what do we make of it?  Here's one story:

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