Apple has been using your face data for security for seven years. You likely use your fingerprint to unlock at least a few of your devices. But have you paid with your palm at Whole Foods yet? Did the TSA scan your face the last time you were at the airport? Using biometric info like your fingerprint and face can save a little time, but a whole lot of potential security risks come along for the ride.

The deposed tech CEO returning to his company triumphant is enough of a Silicon Valley trope that they made it part of the HBO sitcom literally called Silicon Valley. Thomas Middleditch's character wants to build a consumer-facing product, and his startup's board of directors wants to sell to businesses, and Middleditch's character gets fired and goes away until the board is ready to do what he wants. He comes back after a few weeks, probably, although it's hard to say on account of it not being real. More famously, Steve Jobs left Apple in 1985 after a board struggle that resulted in his being pushed out. Jobs needed 12 years, and Apple's decision to buy a company he'd started in the meantime, to come home in 1997.

Technology has created an ocean of opportunities in the advertising and marketing world as every day, by every minute, there is a new idea, a new innovation happening. Be it the world of artificial intelligence, virtual reality or automation, every day there is something new to be worked with. These tools are even more integral for small-sized businesses and startups who can use them to get the recognition and reach the masses before their competition. But are they using it to their full capacity? We asked a few experts.

LAGUNA BEACH, Calif.--With their valuations and earnings down, and their guidance gloomy, America's tech companies have entered a phase when they have to be brutally honest with themselves about what really works. This means executives are trimming staff, moonshots and unprofitable distractions. They're also deciding what to focus on. It's a transition away from more than a decade of "gee-whiz" projects--think self-driving cars, flying cars, metaverses and crypto--all fueled by seemingly limitless cash and venture-backed meal-replacement slurries. The task at hand now: the sometimes-boring but always-important work of building and expanding businesses that actually make money, by delivering things people and companies want and need.

Kaushik is a technical leader at Meta, and has over 10 years of experience building AI-driven products at companies like LinkedIn and Google. Shalvi is an AI scientist at SAP, and has experience as a data scientist, a software engineer, and project manager. Frank is a founding engineer at co:rise and started his career at Coursera, where he was the first engineering hire and built much of the platform's original core infrastructure. The following excerpts from Jake's conversation with Kaushik, Shalvi, and Frank have been edited and condensed for clarity. You can watch the complete recording here. Kaushik, you've been a hiring manager at some big companies. You get a lot of resumes. What are you looking for? What advice do you have for someone who's working on their resume and thinking about how to position themselves? Kaushik: In terms of skills, I'm looking for a practical knowledge of applying ML to build products. That's something I think you can't get from books -- you have to have some hands-on experience. I'm not necessarily looking for someone to have experience with specific tools or techniques, because those things are constantly changing. It's more that I want to know about the approach they took. Why did they use the tools they did, and what did they do when things got tricky or didn't work the first time? Don't get me wrong, I think having a good theoretical foundation is definitely necessary. But I would say you should spend as much time as you can solving real problems. That's how you learn which techniques work best for which use cases, and it will help you get a better understanding of the theoretical side, too. Kaushik: In terms of preparing for interviews, other than brushing up on the fundamentals, my advice would be to brainstorm a couple of problems that are relevant to the company you're interviewing with and do some background research on the common techniques to solve those problems.

Sundar Pichai, Google CEO, stated that AI's impact on human development would be greater than the impact of electricity or fire. Although it may sound lofty, AI's potential is evident from its use to discover space, combat climate change, and develop cancer treatments. Although it is difficult to visualize the impact of machines making quicker and more accurate decisions than humans, one thing is certain: 2022 will see breakthroughs and trends in AI and ML. All over the globe, artificial technology trends are generating much buzz. This technology has revolutionized nearly every sector of various industries. The automation of business workflows has made it possible for industries to thrive since artificial intelligence. Every business, from small-scale start-ups to established businesses, wants to reap the benefits of this incredible technology.

A new book shows business leaders how artificial intelligence is actionable technology that companies are quietly implementing to improve customer experience and reduce costs. Evan Ryan, the founder of the expanding artificial intelligence (AI) consulting firm Teammate AI is bringing all the benefits of AI to small and medium-sized businesses. His book, "AI As Your Teammate: Electrify Growth without Increasing Payroll," demystifies AI and shows that it is not about taking humans out of business. The book is available on November 30, 2021. "AI is the fastest, easiest way to scale a business, but it is also a big mystery to most business owners," said Ryan. "I recently read in Fast Company that AI is no longer just for big organizations. It is a revolution for all."

The world has seen a boom in the field of Artificial Intelligence in the past few years. The major reasons contributing to this is the availability of data and computing power. A lot of research has happened in the field of AI in the last decade and society has witnessed many amazing use cases. In the last decade, AI went mainstream because of the availability of hardware, courses, platforms, big companies taking workshops, etc. What our AI community has achieved in the last decade has set a strong foundation for the future.

All the sessions from Transform 2021 are available on-demand now. Ethics and artificial intelligence have become increasingly intertwined due to the pervasiveness of AI. But researchers, creators, corporations, and governments still face major challenges if they hope to address some of the more pressing concerns around AI's impact on society. Much of this comes down to foresight -- being able to adequately predict what problems a new AI product, feature, or technology could create down the line, rather than focusing purely on short-term benefits. "If you do believe in foresight, then it should become part of what you do before you make the product," AI researcher and former Googler Margaret Mitchell said during a fireside chat at VentureBeat's Transform 2021 event today.

If you work for a big company, you know how frustrating it can be to keep track of all the different systems and applications you need to do your job. Where do you go for your expense reports, your performance review, your GDPR compliance training, your open enrollment? What if you haven't been to that particular application in several months and don't remember your password? Do you have to go to a different application or maybe open a service ticket with IT to reset your password for the first application? How many hours have you wasted navigating to the right places and figuring out again how they work?