Jack, it'll take an hour of your time and it can save your life.

Due to the increasing involvement of state players in automation warfare, when AI-driven automation is on its way to becoming a war weapon, what will it mean for an enterprise to stay competitive for survival? Artificial intelligence is redefining the very meaning of being an enterprise. The rapidly advancing artificial intelligence (AI) capability is on its way to revolutionizing every aspect of an enterprise. The ability to access data has leveled the playing field and brought every enterprise a unique possibility of progress. What needs to be seen is in this level playing field, which enterprises will be able to compete and lay a new foundation for fundamental transformation and which ones will decline.

Tom Davenport has literally written the book on analytics. Actually, several of them, to be precise. Over the course of his career, Tom has established himself as the authority on analytics and how their role in the modern organization has evolved in recent years. Tom is a distinguished professor at Babson College, a research fellow at the MIT Initiative on the Digital Economy, and a senior advisor at Deloitte Analytics. The discussion was timely as Tom had just written an article about a financial services company that had trained its employees on human-centered design so that they could ensure any use of AI would be customer-driven and valuable. "If you survey organizations and ask them, 'Does your company have a data-driven culture?' they almost always say no. Surveys even show a kind of negative movement over recent years in that regard. And it's because nobody really addresses that issue. They only address the technology side." Eventually, I think some fraction of [AI and analytics solutions] get used and are moderately effective, but there is not nearly enough focus on this. A lot of analytics people think their job is to create models, and whether anybody uses it or not is not their responsibility…We don't have enough people who make it their jobs to do that sort of thing. I think we need this new specialist, like a data ethnographer, who could sort of understand much more how people interact with data and applications, and how many ways they get screwed up.--Tom I don't know how you inculcate it or teach it in schools, but I think we all need curiosity about how technology can make us work more effectively. It clearly takes some investment, and time, and effort to do it.-- TD Wealth's goal was to get [its employees] to experientially understand what data, analytics, technology, and AI are all about, and then to think a lot about how it related to their customers.

Throughout her life, Eileen Lach has been a leader. Growing up in northeast Minneapolis, she knew at a young age she wanted to move to New York City and travel the world. Lach accomplished that and more, carving out a position on Wall Street early in her career and later serving as the first general counsel and chief compliance officer for The Institute of Electrical and Electronics Engineers (IEEE). She is considered a thought leader, especially in the area of ethics and artificial intelligence (AI). During a conversation with Lach last summer, it was hard not to be wowed by her achievements and admire her dedication to philanthropic causes.

For the second year in a row, Canada has refused visas to dozens of researchers - most of them from Africa - who were hoping to attend an artificial intelligence (AI) conference in Vancouver. The hassles have caused at least one other AI conference to choose a different country for their next event. The Neural Information Processing Systems conference (NeurIPS), which brings together thousands of experts and researchers from all over the world, will be held in Vancouver next month. Last week, NeurIPS began hearing that several attendees had had their visas denied. It was the second year in a row the conference has had visa troubles.

Robotic emissaries explore the universe for us. Whether traveling to our moon, to other planets, or beyond the Solar System, robots are sometimes much more useful than humans. What are future trends in robotic space exploration? To learn more about this topic, we spoke to Andrew Jones, a doctoral candidate at North Dakota State University who specializes in it. What do you think next steps are in using robots to explore the universe?

Known as the "Nobel Prize of computing," the Turing Award is regarded as the highest honor in computer science. The three researchers received this prestigious accolade for their contributions to deep learning, a subset of artificial intelligence (AI) development that's largely responsible for the technology's current renaissance. While deep learning has unlocked vast advances in facial recognition, natural language processing, and autonomous vehicles, it still struggles to explain causal relationships in data. Not one to rest on his laurels, Bengio is now on a new mission: To teach AI to ask "Why?". Bengio views AI's inability to "connect the dots" as a serious problem. Deep learning's pattern recognition capabilities have revolutionized technology.

Worldwide, the annual value of securities transactions is nearing US$2 Quadrillion, (DTCC). Financial services, already in the top 5 in digital transformation and technology adoption, is moving rapidly to embrace the 5th Machine Age Unlimited X-Revolution. What is the 5th Machine Age Unlimited X-Revolution? The "5th Machine Age" term refers to the rapid integration of artificial intelligence (AI) across all industries and particularly through an area of AI called machine learning (ML). This is accentuated by the ACM (No.1 in computing science) in March announcing their A.M. Turing Award Winners and deep learning pioneers Geoffrey Hinton, Yoshua Bengio and Yann LeCun.

What did you choose to do as a writer, then? I was very naive when it comes to writing a series. I had no idea what was going to happen. I wanted it to be a lighthearted, realistic tale and I also wanted it to have a sense of drama, emotion, and suspense. I had no idea what I should do with the main characters in the first place, but I knew I had to make it a lighthearted, realistic story that would have the main characters struggling to find their happiness and love.

When you are solving a problem, in what circumstances will you apply machine learning? Is it true that in every circumstance, machine learning will always outperform rules and heuristic approaches? Before I graduated from university, I am fascinated by how machine learning models could potentially solve any problems in the world. Whenever I am facing any kind of problem, I will first think of how this could be solved by using a machine learning approach. For instance, when I was searching for a property to rent in Singapore, I would like to know the price range of one particular area.