Although artificial intelligence has been present in our lives for years, 2022 served as a major proving ground for the technology. Between ChatGPT, AI art generation and Hollywood embracing AI, AI found a new kind of foothold––and hype––with the general public. But it also came with a fresh wave of concerns about privacy and ethics. With all that 2022 did to raise the profile of the technology, AI experts at Northeastern University say 2023 will be an equally major year for the future of AI––but it will also face its fair share of challenges. Usama Fayyad, executive director for the Institute for Experiential AI at Northeastern, says the hype around AI wasn't the only thing that defined the technology's trajectory last year. As the public profile of AI grew in 2022, so did the misunderstandings and misinterpretations around it.

Digital technologies are transforming wealth management. You needn't go to a bank or an investment advisory firm any more to figure out where you could get the best returns on your money. Just log into a wealth tech app. It's hassle-free, involves a lot less paperwork, has lower entry fee, and is much more intuitive than traditional processes. Startups in India have not only built apps with great user interfaces, but they are also creating algorithms and data science techniques to automate the entire investment process.

When you think of trends that might be shaping the future, the first things that come to mind probably have something to do with technology: Robots taking over jobs. Technology is undoubtedly changing the way we live, and will continue to do so--probably at an accelerating rate--in the near and far future. But there are other trends impacting the course of our lives and societies, too. They're less obvious, and while many are tied to technology, some have nothing to do with it. For the past nine years, entrepreneur and author Rohit Bhargava has read hundreds of articles across all types of publications, tagged and categorized them by topic, funneled frequent topics into broader trends, analyzed those trends, narrowed them down to the most significant ones, and published a book about them as part of his'Non-Obvious' series.

The world's biggest companies are coming to India for data analytics, artificial intelligence (AI) and machine learning (ML) skills. But renowned mathematicians believe the country needs to significantly improve its mathematics capabilities to be able to use these technologies to create really innovative and robust solutions – both for itself and the world. Manjul Bhargava, mathematics professor at Princeton University and winner of the Fields Medal, one of the highest honours in math, says India can't hope to lead the fourth industrial revolution, "if we don't have strong mathematical talent coming up very soon." Srinivasa Varadhan, mathematics professor at New York University, agrees. He says if you want to provide some guarantee that a certain machine learning algorithm will work the way it's supposed to, then you have to do the math.

Enterprise startup Demisto isn't trying to solve the vast problem space of cybersecurity, but rather to make life better for the professionals who spend their days neck-deep in security alerts, putting out fires both real and imagined. It's a hard problem to tackle because of the vast array of tools and product security teams need to work with, but Demisto thinks its bot-based (aka ChatOps) platform is the best way to start. In this episode of the ARCHITECHT AI and Robot Show, Demisto co-founder Rishi Bhargava explains how the company's technology works by learning how its customers resolve problems, and then helping automate remediation when similar problems arise in the future. Among other things, Bhargava talks about why the company takes a simple approach to machine learning; the value of looking at security as a human-centric problem; how bots not only automate actions, but aggregate immense amounts of activity data; and why the biggest things companies can do today is bring order to their security operations, automate what can be automated, and prioritize what's truly important to protect. Keep reading for highlights from the podcast interviews with Bhargava, and scroll to the bottom (or click here) for links to listen to the podcast pretty much everywhere else you might want to.

Most security professionals spend a lot more time looking for the source of problem than they do fixing it. That can be especially vexing when they know there's a cyberattack in progress. To cut down on that time, Demisto this week added a Demisto Insights module to a Demisto Enterprise security operations platform that provides access to machine learning algorithms that can now suggest the best method available for resolving a security issue. Rishi Bhargava, vice president of marketing for Demisto, says the two biggest security issues IT organizations face when it comes to personnel are a shortage of staff and the amount of time it takes for anyone to gain a relevant amount of IT security expertise. "They can use Demisto Insights to set up playbooks for dealing with certain types of threats," says Bhargava.