Results tagged “AI”

The Intelligence in Using Renewable Energy

While it is hard to ascertain by when, it is widely acknowledged that fossil fuels are not the future sources to fulfill our energy needs. Renewable energy is emerging as the most reliable alternative for our future, however, despite significant progress in pockets, there are quite a few daunting challenges. Among the leading sources of renewables, solar and wind are dependent on the weather, are unpredictable, and we still need to smoothen the flow of energy from generation to consumption. The advancement in storage technology is promising yet far from where it needs to be. From time to time, generation of renewable energy will fall short of demand and hence it cannot be the reliable source of base load for consumption. The base load continues to shift to fossil fuel-based generation which defeats the purpose to move to renewables in the first place.

One solution is to use demand-side flexibility cleverly, cutting demand for renewable energy when supply is low and bumping it up in times of plenty. This is possible by advanced load control at an equipment and appliance level, such as large air-conditioning units or industrial furnaces to switch off when power generation is low and consume more energy when there is excess supply. Additionally, the owners of this equipment could also be contracted to make their stored energy and battery packs available to the grid when required.

Automate, Innovate, Learn: Way Ahead for IT Services Providers and Buyers

Digital technologies continue to disrupt every business as we know it. In response, IT service providers must first help clients navigate the disruption to future-proof their business, innovate, and grow. Then, they must do the same for themselves. From a conventional services and applications provider to a problem-finder, strategic advisor and innovator of next-generation services, the role of the IT service provider has irrevocably changed.

Technologies for smart automation and Artificial Intelligence (AI) are fuelling this change in the way IT services are delivered. The implementation of these technologies is resulting in pervasive automation, moving the industry away from the conventional 'people only' IT services delivery model to a much more powerful 'people plus software' model to deliver these essential services.

Automation, AI and the Opportunities of Lifelong Learning

Automation, AI and the Opportunities of Lifelong Learning

While debates and discussions across forums are focusing on automation, costs reduction and job loss - the inevitable throes of massive transformation - we at Infosys believe in taking a deeper perspective, and rather look at the future that will be born out of this change. There are significant roles that stakeholders across the spectrum, from government, to academics, to businesses and non-profits, can play in collaborating to shape the skills and competencies needed to be successful. Infosys' strong tradition of learning and education has equipped us to adopt this approach of always looking forward to the innovations and skills of the future, and at the same time, has created a culture of lifelong learning, where every opportunity is new and provides growth.

We believe the future need not be an increment of our past or present - and this time around, it could be a significant shift. The exponential rise of computing power at fraction of the cost, as well as rapid miniaturization of hardware that can correspondingly support this, are fundamentally making all of this possible - bringing about the onset of the age of automation and AI.

AI- Going Beyond Labor Substitution to Data-Driven Experiences

AI- Going Beyond Labor Substitution to Data-Driven Experiences

Many enterprises fail to capitalize on the potential that artificial intelligence and automation have to offer by equating it with labor substitution. For instance, I was recently interacting with the client team of a large bank. Their target was to reduce costs of internal and customer transactions by implementing 500-600 Robotic Process Automation (RPA) bots in a single year. They had already tried doing this with a toolset they had invested in, but were unable to meet the target. A few questions on overall process design revealed that they had not really thought through their plan. For instance, they had identified 50 use cases for immediate automation since these had a large number of people associated with them. However, the company did not know how to systematically identify new problem opportunities in the enterprise. I encountered a similar situation in a large manufacturer that was looking at IT outsourcing. They were keen to learn how artificial intelligence (AI) could help them automate work drivers and outsource the rest of the work. A retail customer, on the other hand, had already implemented RPA but needed assistance to leverage AI to respond to evolving consumer expectations.

Consistently engaging in problem finding can be a struggle for enterprises, especially if they do not refer to the data existing within the enterprise. Many of today's enterprises find themselves overwhelmed by data. Unlocking the right data and making it available across the board gives users the opportunity to engage with stakeholders in a more meaningful way than ever before.

Skills of the Future - Asking Us to Be More

Skills of the Future - Asking Us to Be More

Recent discussions in the media and business circles on automation − robotics and artificial intelligence − have again turned the spotlight on the future of work and employable skills. And while there is widespread apprehension about skills obsolescence, I believe these concerns can be addressed. One of the biggest and often overlooked benefits of automation is that it almost compels us to awaken our sense of curiosity and inquiry, pushes us to reskill, and adopt a path of lifelong learning − to whatever extent we can.

A report published by the World Economic Forum (WEF) titled 'Future of Jobs', points to the need of the hour. It notes that by 2020 there will be a change in the kind of skills required in the digitally enabled services economy. Skills such as complex problem solving, critical thinking, and creativity will be most in demand.

Could Intellectual Property Be A Mass Movement for Innovation?



Apis Cor prints a 3D house in as little as 24 hours [Source: https://www.youtube.com/watch?v=xktwDfasPGQ]

26th April, is Intellectual Property Day. The theme for this year according to the World Intellectual Property Organization (WIPO) is 'Innovation - Improving Lives'. As an IT professional, this resonates deeply with me and contextualizes the effort of millions of people, who work with intangible software code to create tangible, positively beautiful products that improve human life.

IP is fundamental to the emerging digital world. Many technologies are required to create a product, and companies often outsource the development of components, or share technologies through licensing arrangements. IP is especially core to the e-commerce economy, which depends on companies working together to share the opportunities and risks of business through licensing.

What's 'Next-gen' About Next-gen Services

What's 'Next-gen' About Next-gen Services

Recently, Infosys was acknowledged for its application services leadership in NelsonHall's Vendor Evaluation & Assessment Tool (NEAT). While the rating, at one level, is a reflection of our ability to deliver compelling immediate benefits to clients, what's equally relevant is that it's an indicator of our preparedness to fulfil their future needs. Although the report itself acknowledges this, it's my conversations with clients from across the world that strengthens my conviction. It is clear that leaders at the helm of every kind of business are grappling with the same dual agenda - to make problem-solving of well-defined, current challenges more efficient, and simultaneously to also focus on problem-finding and explorations to uncover new avenues of value creation that can serve the enterprise's future. Next-generation services - like the ones referenced in NelsonHall's Evaluation of Infosys - power this duality. And here's how.

These services rely on automation to bring breakthrough productivity to problem-solving endeavors. In fact, the very core of next-gen IT services is based on automation and a people+software delivery model with efficiency benefits that can then be shared with the businesses that commission these services. From bringing automation to IT operations, building process automation, scripting test automation and frameworks for automated knowledge curation, the point then is to focus on doing more, with less for more. Using agile and DevOps capabilities to deliver modern applications in a shorter timeframe is integral to the game plan. Artificial Intelligence (AI) can also be harnessed to bring productivity improvements to work. Advanced AI technologies, when combined with in-depth understanding of the business and the IT landscape, can give businesses the edge of automation while also using critical knowledge locked inside source code, application silos, maintenance logs, exception tickets, and even individual employees, to solve tough business challenges. It can enable systems to predict problems and automate the solving of these problems otherwise requiring skilled people to invest time and effort.

Smart Technology For Sustainable Food Practices

Smart Technology For Sustainable Food Practices

In the food services and logistics industry, it's all about quality, flavor and delivery: customers want their food fast and natural. Advances in technology are altering the farm-to-table journey and the food experience. As Peter Diamandis points out, an average American meal travels 1,500 miles before being consumed. With discerning customers watching their carbon footprint, interest is deepening on where food is grown, how it travels and when it is processed. The way forward is to make sustainability central to food production, adopt automation and robots for cost-efficiency and shift towards smart machinery for efficient farming.

All the goodness of nature

The food industry can be a high risk, low reward business. Unpredictable weather, challenges in food logistics, perishability of food, and transient trends contribute to a perfect storm. Could an innovative enterprise convert these factors of uncertainty into a sustainable food business?

Is Your Enterprise Ready For The Growing AI Opportunity?

Is Your Enterprise Ready For The Growing AI Opportunity?

'Digital' has been pushing enterprises across industries to relook and reinvent themselves. Let's take the example of the launch of Jio, a mobile network operator in India. It has technologically leapfrogged traditional investments in 2G and 3G networks, to create an operating model that offers dramatically different products to customers at a fraction of the cost that it would take traditional telecom companies. So how can enterprises compete in this disruptive marketplace?

Artificial intelligence (AI) has come to establish itself as one of the enablers in a number of industries such as banking, retail, healthcare, manufacturing and telecom. It has become a competitive differentiator, and enterprises are now asking if AI can help them go a step further from being 'the solution', to helping them 'identify complex problems worth solving'. Recently, Demis Hassabis, CEO of Google Deepmind, pointed out that "If we can solve intelligence in a general enough way, then we can apply it to all sorts of things to make the world a better place,"

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Robots will fly planes, and humans won't be redundant

Robots will fly planes, and humans won't be redundant

The rapid convergence of operational and information technologies is decisively transforming the world of industrial production, often referred to as the Fourth Industrial Revolution. Consider the huge robotic arms in a decades-old manufacturing plant. Until recently, each arm was managed by a computer and did a simple precise pick and place task. No more. Now, thanks to plant-wide technological improvements, these robotic arms can all be connected to each other and work in tandem, completing a larger number of manufacturing tasks intelligently. To be sure, manufacturing enterprises are always learning to adapt to technological trends. But it is also a capital-intensive industry, with long life-cycles for processes. The industry is testing the promises of the Fourth Industrial Revolution where newer technology integrates with the aging infrastructure of a manufacturing facility.

It is interesting to note that in a recent survey that Infosys commissioned on AI adoption across industries, 29% of the nearly 275 respondents, in the manufacturing sector, confirmed that AI technologies have been fully deployed in their organizations, and these are also delivering up to expectations. 40% of the respondents viewed AI as being fundamental to the success of the organizations strategy.

The Future of Consumption ─ A Closer Look

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

I have a friend who still has a Betamax player from the 1980s. During that decade he enjoyed picking up videos from the rental store to watch movies at home. After a while the rental store only carried tapes in the VHS format. About two decades later, the store, and many like it, closed. At that point, people were overwhelmingly choosing to order movies to watch on their DVD players.

Today, of course, that consumption mode has been largely replaced by movie streaming services. If you look at that vintage Betamax player, you will realize just how rapidly a seemingly healthy market can be disrupted. Technology has been impacting consumption - time and again.

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

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.

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

I envy the ancient Romans. They had a world-class coliseum right in the middle of their capital city, and spent hours watching gladiators contest and chariots race. It was a great way for citizens to get away from the drudgeries of day-to-day life and enjoy the excitement. A trip to a stadium today is not much different. Except that there are jumbotrons and audio announcers vying for the attention of fans that until recently were exclusively focused on the playing field.

Broadcasters largely drive the at-home experience for sports aficionados, but in a hyper-connected world where fans are increasingly turning to tablets and large smartphone to take in a game, they have a newer opportunity to connect with this expanding market. Broadcasters offer third parties access to their viewers' attention and data, and have thus created a revenue stream through their loyal fan base.

Artificial Intelligence - Making Life Easier (Part I)

Artificial-Intelligence-Making-Life-Easier.png

This blog post has been co-authored by Ken Toombs, Managing Partner, Infosys Consulting and Roberto Busin, Partner and Manufacturing Segment Head, Infosys Consulting.

Artificial intelligence (AI) is polarizing. Elon Musk has called it "our greatest existential threat," and tweeted that it is "potentially more devastating than nukes".

At the same time, renowned AI expert and Google/DeepMind Director of Engineering Ray Kurzweil has said, "...biological humans will not be outpaced by the AIs because they will enhance themselves with AI. It will not be us versus the machines ... but rather, we will enhance our own capacity by merging with our intelligent creations."

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

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.

How To Help Businesses 'Sweat Their Assets' Leveraging A.I.



Kodak: From Blue Chip to Bankrupt [Source: https://www.youtube.com/watch?v=wwfwr8eYP50]

Ah, the benefits of hindsight. Let me begin this blog by giving you three examples of companies that reacted differently to technology disruption and, in some cases, paid the price for it.

Imagine if you could have gone back in time to warn the executives of Eastman Kodak Co. that they might be better off leaving the photography business altogether, earlier than they did. They wouldn't have taken you seriously - even after numerous strategies failed to save the company's traditional line of business. The Eastman Kodak brand was synonymous with photography. The truth is that when a business is built on a legacy technology that is categorically different from the market's new standard, even perfect foresight (in this case, the demise of film or CDs) would not have solved the core problem that digital replacement is fundamentally less profitable.

Intelligent & Context-Aware: A.I. Grows Up



A Battle Of Digital Assistants | Tech Bet | CNBC [Source: https://www.youtube.com/watch?v=HLXIDdBsNiQ]

As every major technology company rolls out a new 'chat bot' or virtual assistant (Siri, Echo, and Alexa immediately come to mind), it's becoming clear to consumers that comparing them is akin to comparing apples with oranges. There are those devices or apps that you can talk at, and they respond with basic answers because they've been programmed with reams of data and can access even more. So if you're looking for a new restaurant in your neighborhood, just about any such product on the market will suffice.

But there's a relatively new term being used today that's separating the Artificial Intelligence-enabled apples from the oranges: 'conversational interface.' That's when you begin talking to your device instead of at it. Rather than simply drawing on its vast data banks, it can actually learn from your questions and conversations and teach itself to become a better digital assistant. After all, we've had Internet search engines for two decades now. Simply making them blurt out answers to your search is not that radical. Understanding who you are and what you're wanting to, however, is changing the marketplace for everything related to A.I.


It was about zeroing the distance between what clients desire and the experience that our technology is poised to deliver. Between the promise of our expertise and expectations of clients. Between imagination, possibilities and ways and means to materialize them. Between us, across different walks of life, and the new digital reality.

The Power Of Speech



The competition to be your personal digital assistant [Source: https://www.youtube.com/watch?v=KSQx0AA3vek]

Lee Iacocca's legendary turnaround of the Chrysler Corporation in the late 1970s and early 1980s is regarded as one of the greatest management stories of all time. Of the many quick and decisive actions Iacocca took at the then near-bankrupt company was to bring technology to Chrysler automobiles that would make consumers wake up and take notice - and make competitors squirm. One such gadget was the Electronic Voice Alert System (EVA). Mind you, most consumers of that era didn't know what a personal computer was - Macintosh was not yet released! Yet, a consumer was sold on a Chrysler that would tell her if she left her keys in the ignition or warned her that it was time for an oil change.

Many years have passed since then. But, the progress surprisingly has been slow. That was perhaps because applications and systems did not demand that kind of interaction. Technology was still evolving . In today's era with Cloud first, Mobile first, sensors everywhere - speech and gestures are in (with a bang)! We have an interesting confluence of technologies and applications. Hands-free operations and the need to access information at the point of action has led to an amazing array of speech integration.



Google DeepMind: Ground-breaking AlphaGo masters the game of Go [Source: https://www.youtube.com/watch?v=SUbqykXVx0A]

Many Westerners hold the belief that chess is the most complex game in the world. They don't know much about 'Go', an ancient Chinese board game. To even play it (not to speak of winning), an individual needs an incredibly complex brain that until now most scientists believed only human beings could possess.

But the world of Artificial Intelligence just got a tremendous boost a week ago when scientists at the Google DeepMind laboratory in London announced that it has created a computer armed with the most advanced Artificial Intelligence that beat the human European Go champion 5 games to 0. The results have just been published in the article 'Mastering the Game of Go with Deep Neural Networks and Tree Search' that appeared in the January 27, 2016 issue of Nature, the international weekly journal of science.

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