The bigger your company, the more important it is that every team member is on the same page. When you're as big as Genpact, with 90,000 employees and twice as many partners, then collaboration is a top priority. Sanjay Srivastava is well aware of the challenges. As Genpact's Chief Digital Officer, he is front and center at the effort to make sure the disparate teams and employees within the company are working successfully in a collaborative organizational culture, as well as offering a satisfying customer experience. For Sanjay, there are three main factors that need a strong collaboration platform within a company. It starts with the idea of the business as a connected ecosystem that drives a collective intelligence. Then there's the concept of continuous learning and innovation that requires a collaborative framework to be successful. Finally, there's the convergence of domains, the ability to pull people together from different disciplines, with different experiences, and across ...

Formula E Racing, like its Formula 1 counterpart, relies on speed and strategy to win. But how do you crunch through the reams of data that you can get from an electric race car and analyze it in a way that would help your driver and your racing team beat the competition? And that's why he has partnered with Sanjay Srivastava, Chief Digital Officer of Genpact, to leverage data analytics and artificial intelligence (AI) to build a multi-layer platform that turns a mountain of data into actionable analysis. Formula E racing produces different types of data across many fronts. There's a set of telemetry data from the cars, a stream of large data sets that cars produce while they are on the road, and data from competing drivers and their vehicles. Then there's data gleaned from weather, satellite, traffic, and road patterns. All that needs a data analytics system that can interpolate the information as it comes in from all these sources and analyze it in real-time in a way that the driver and the racing team can absorb and act upon instantaneously. But, as Sylvain points out, that's easier said than done, especially since a Formula E race happens in just one day, and every second counts. As Sylvain and Sanjay explain, it starts with knowing how to structure the incoming information so that the driver and engineers can act upon it quickly. That means setting up the correct algorithms, developing an analytical infrastructure that--with the help of AI--integrates all of the different types of data, and synchronizing it to give the driver and engineers the whole picture and predict the likeliest outcomes in any given scenario in order to make the right decisions during the race. That also means creating a user interface for the data that's both comprehensive and instantly comprehensible to the driver. The work that Sylvain and Sanjay are doing has notable implications for business that goes beyond racing. The technologies they are developing will trickle down to make electric cars and sustainable energy better. The analytics tools they are creating can potentially be utilized by other companies to make better sense of data coming from multiple sources in order to make well-informed business and digital transformation decisions and do so quickly, and to manage their resources more efficiently. This transcript has been edited for length and clarity. Michael Krigsman: Formula E Racing involves cars, speed, data, and advanced technologies such as AI and machine learning.

Cognitive technologies such as Artificial Intelligence (AI) offers businesses an incredible opportunity to rethink traditional processes. By automating rote tasks and accelerating standard workflows, companies can free employees to pursue innovation in other capacities. But are AI and intelligent automation different than other enterprise technologies? Does AI's potential pose far more dramatic threats than previous technological innovations? Why are technologists and business leaders so excited and simultaneously apprehensive about a technology that, despite its creation in the 1950s, is still in its relative infancy?In this video, we speak with Fred Laluyaux, CEO and President of Aera Technology and David Bray, Executive Director of the People-Centered Internet, about these critical topics. During our conversation, we define some of the industry buzzwords and scientific terms that may still mystify the business world. We discuss the ways in which humans and machines should work in collaboration, both now and in a future that may give rise to machines that become responsible for many of the tasks humans handle today. We also examine how AI will revitalize current business technology including supply chain solutions, e-commerce platforms, and the still-nascent Internet of Things. To learn more about how, when, and why your business should jump into the world of AI and automation, be sure to watch this video. In it, you'll also find valuable advice from David and Fred on how to handle the ethical implications of AI adoption, and how you should treat your employees as AI becomes ubiquitous. The transcript below has been lightly edited for clarity and length. I'm delighted to speak with two gentlemen who will explain these concepts and what they mean for business. Fred, tell us briefly about Aera Technology. Fred Laluyaux: We build the technology that enables self-driving enterprise. I'll speak more about what it is, but it's fundamentally a cognitive operating system.

Michael Krigsman: Artificial intelligence in drug discovery is a relatively new field. Thank you so much for watching. Before we begin, please subscribe on YouTube and subscribe to our newsletter. You can do that right now. Alex Zhavoronkov, he is the CEO of Insilico. Tell us briefly about Insilico Medicine and tell us the things that you're working on. Alex Zhavoronkov: We are focused primarily on applying next-gen AI techniques to drug discovery, biomarker development, and also aging research. We focus specifically on two machine learning techniques. Those are the techniques we are most expert in our field. We use those techniques for two purposes. One is identifying biological targets and constructing biomarkers from multiple data types and also generating new molecules, new molecular structures with a specific set of properties. We were one of the first companies, possibly the first one, to generate new molecules using this new technique called generative adversarial networks–it's kind of AI imagination–and validate those molecules experimentally.

Michael Krigsman: Artificial intelligence is one of the great buzzwords of our time, but there's substance behind it in some quarters. Today we're talking with somebody who is actually designing AI systems. We are on Episode #257 of CxOTalk. Before we dive in, I want to thank Livestream for providing our video streaming infrastructure. If you go to Livestream.com/CxOTalk, they'll actually give you a discount on their plans.

Adapted insights from a CXOTalk episode with Michael Krigsman and Dr. Michael Chui Artificial intelligence (AI) has become part of the daily vocabulary of a customer experience professional. But exactly what is artificial intelligence? Michael Krigsman, Industry Analyst, CXOTalk recently interviewed Dr. Michael Chui, Partner, McKinsey & Company on the topic of "AI Research" for the popular CXOTalk show. Here are 10 takeaways from Dr. Chui and his research in AI. Generally speaking, the definition of artificial intelligence is the use of machines to do cognitive work such as problem solving, pattern matching, and creating new patterns.

What is Amelia artificial intelligence? How can the AI platform help improve banking and financial services while keeping operating costs low? Tom DeCarlo, UBS head of client services in the Americas, tells industry analyst Michael Krigsman at CXOTalk during the IPsoft Digital Workforce Summit in New York about the company's efforts to improve efficiency and increase the quality of customer experiences through technology. UBS is continuously training its workforce with focuses on policy process and procedure, but is also using IPsoft's Amelia AI platform to help ensure a return on investment. At UBS, Amelia works within a contact center to help CSAs and sales assistants work more quickly to assist financial advisers and account holders.

Artificial intelligence is helping companies be more efficient, saving costs and improving customer service and experiences. Edwin Van Bommel, Chief Cognitive Officer at IPsoft, tells industry analyst Michael Krigsman of CXOTALK at the IPsoft Digital Workforce Summit in New York about how the Amelia AI platform can solve problems for customers. AI, for example, can assist with password changes or client account updates, while freeing up employees for other services -- or reducing overall cost. Amelia's cognitive computing capabilities allow her to converse with clients and customers in natural, context aware dialog at more than 50 global organizations. Von Bommel explains that Amelia needs three things: Data to understand the client's needs, data to solve those problems, and analytics to make the AI experience even smarter. The AI platform boasts conversational intelligence, advanced analytics, a smart workflow with enterprise systems and self-learning to continually improve on every interaction.

Will A.I. make our government smarter and more responsive – or is that the last step towards the end of privacy? As chief scientist of U.S. Government Accountability Office, Tim Persons conceives its vision for advanced data analytics. Learn about the promise and challenges around government A.I. and what those portend for private sector companies. Dr. David A. Bray began work in public service at age 15, later serving in the private sector before returning as IT Chief for the CDC's Bioterrorism Preparedness and Response Program during 9/11; volunteering to deploy to Afghanistan to "think differently" on military and humanitarian issues; and serving as a Senior Executive advocating for increased information interoperability, cybersecurity, and civil liberty protections. He completed a PhD in from Emory University's business school and two post-docs at MIT and Harvard. He serves as a Visiting Executive In-Residence at Harvard University, a member of the Council on Foreign Relations, and a Visiting Associate at the University of Oxford. He has received both the Arthur S, Flemming Award and Roger W. Jones Award for Executive Leadership. In 2016, Business Insider named him one of the top "24 Americans Who Are Changing the World". Dr. Timothy M. Persons is a member of the Senior Executive Service of the U.S. federal government and was appointed the Chief Scientist of the United States Government Accountability Office (GAO) in 2008. In addition to establishing the vision for advanced data analytic activities at GAO, he also serves to direct GAO's Center for Science, Technology, and Engineering (CSTE), a group of highly specialized scientists, engineers, and operations research staff. In these roles he directs science and technology (S&T) studies and is an expert advisor and chief consultant to the GAO, Congress, and other federal agencies and government programs on cutting-edge S&T, key highly-specialized complex systems, engineering policies and best practices, and original research studies in the fields of engineering, computer, and the physical and biological sciences to ensure strategic and effective use of S&T in the federal sector. Michael Krigsman: Welcome to Episode #216 of CxOTalk. I'm Michael Krigsman, I'm an industry analyst and the host of CxOTalk, where we bring truly amazing people together to talk about issues like the one we're talking about today, which is the role of AI and the impact on public policy; or maybe I should say, the impact of public policy on AI. Our guest today, we have two guests actually, are Tim Persons, who is the Chief Scientist of the General Accountability Office of the United States Government, and David Bray, who has been on CxOTalk many times, the Chief Information Officer of the Federal Communications Commission. And David, let's start with you. Maybe, just introduce yourself briefly.

Infor COO, Pam Murphy: "Our customers kick ass." At the start of Inforum 2016, Infor's Chief Operating Officer, Pam Murphy, stood on stage and announced: "Our customers kick ass." The comment reflects announcements that Infor is extending its core strategy by adding solutions tied closely to its customers' digital business transformation. Infor itself is undergoing a transformation designed to maintain relevance as the market changes. During a private conversation with the company's President, Duncan Angove, he explained Infor is thinking of potential sources of disruption to its own business: "We want to disrupt ourselves before someone else does."