I recently visited with the CIO of a Fortune 500 company. He was touting the advances they had made in IT and corporate culture regarding the use of artificial intelligence and analytics, but he had one major concern: How do you fuse AI and analytics into the rest of your transactional line of business IT infrastructure? It hasn't been that way in his enterprise. His IT organization had started its analytics initiative with an internal Hadoop group that was responsible for processing big data internally. Meanwhile other departments in IT supported transactional data processing on an assortment of mainframes and servers in the data center. Regular IT and the Hadoop groups were somewhat siloed from each other because the parallel processing and storage management needs for big data and AI were notably different than what they were for transactional data and processing management.

The financial revolution is here. Here, we take a deep dive with one of the world's top FinTech venture capitalists, Spiros Margaris, founder of Margaris Ventures, into the way AI and related technologies are transforming a key industry. Spiros is a senior advisor to, and investor in, several fintech, insurtech, cybersecurity, health care, and AI sector companies, including two FinTech start-ups with valuations of over $1 billion. Q: What issues, shortcomings, or inequities with financial systems are potential areas for transformation? Margaris: The financial technology industry -- FinTech -- seems to originate from the need to provide for a democratized financial system, at least, the FinTech companies that interest me.

The insurance industry is one of the largest in the world and has been around for hundreds of years, making it ripe for transformation by newcomers in the space. Over the past five to ten years, technology has pushed the frontier of what's possible, making way for a new breed of digital-first insurance companies to come to life. The use of technology, data, artificial intelligence (AI), and modern design has created a powerful combination, changing what was once a very policy-centric industry to one that's customer-centric. I recently had the chance to speak to Daniel Schreiber, co-founder CEO of Lemonade, the digital insurance company powered by social impact with a mission dedicated to building the "most loveable insurance" available. During our conversation, he spoke about the company's use of AI and big data, how it impacts the customer experience, and the opportunities (and, at times, challenges) it brings to the industry.

Tech conferences are becoming one of the most attractive venues to learn about the latest innovations in emerging sectors, including artificial intelligence, web3, AR/VR, IoT, and the metaverse. In particular, this year's data conferences are a good place to look for the most interesting trends. Take a look at the most notable data-focused B2B events in the second half of 2022. Big data, public web data gathering, and AI are the three pillars of this year's conferences bringing together mid- and upper-level data enthusiasts to share experiences and jointly find a pathway to a more structured digital future. OxyCon, the most prominent event in the world of web scraping, returns for the third time, attracting thousands of registered participants.

At any given time, a job opening on LinkedIn receives over 250 applicants. Unilever gets around 1.8 million applications a year for measly 30K positions, and screening through a trove of data isn't child's play. It is where the company deploys AI and big data in HR to run a series of tests to trace behavioral traits and then a list of successful candidates is passed onto the human recruiters. Surprisingly, Unilever ends up hiring around 50% of those candidates. Artificial Intelligence (AI) has proven its mantle on countless occasions, making it a viable option in the recruitment process. However, both good and bad outcomes have been well-documented in the past.

The Great Resignation has opened people's eyes as to what is possible when workers push back--when they say enough is enough. Since its start, more than 50 million Americans have voluntarily left their jobs. Many cited dehumanizing conditions and lack of respect from their employer as reasons. Want your new hires to feel like more than cogs in the machine? Want to stop contributing to the debasing machinery that exploits people as means to ends?

Thou shalt not exploit workers in the 4th Industrial Revolution. The Great Resignation has opened people's eyes as to what is possible when workers push back--when they say enough is enough. Since its start, more than 50 million Americans have voluntarily left their jobs. Many cited dehumanizing conditions and lack of respect from their employer as reasons. Want your new hires to feel like more than cogs in the machine?

Headlines have reiterated that investments in big data have continued to increase, and the big data story they're selling us on just keeps getting bigger. For the last decade, the big data story has been plastered across headlines and weaved into organizations' IT models as the end-all-be-all solution. We've been sold on the idea that AI and big data will together be what drives modern businesses down the path to success, helping these companies thrive in today's digital-first, consumer-driven environment. Across almost every industry, from financial services to healthcare to real estate and beyond, this story told us that all problems must be solved by more computing power and more data analysis -- AI and big data. And that's a good thing since companies have been, for years, aggregating massive data sets to fuel algorithms to create positive experiences and outcomes.

AI and big data analytics are allowing healthcare providers in the Middle East to make faster, more cost-effective diagnostics, but security concerns are top of mind. AI and big data analytics are allowing healthcare providers in the Middle East to make faster, more cost-effective diagnostics, according to a broad cross-section of healthcare professionals. Along with the increasing use of AI and big data, though, security concerns about data privacy are also growing. AI is one of the fastest growing segments of the global healthcare market today. According to Frost & Sullivan forecasts, it will reach US$6.6 billion by the end of this year.

AI and big data analytics are allowing healthcare providers in the Middle East to make faster, more cost-effective diagnostics, according to a broad cross-section of healthcare professionals. Along with the increasing use of AI and big data, though, security concerns about data privacy are also growing. AI is one of the fastest growing segments of the global healthcare market today. According to Frost & Sullivan forecasts, it will reach US$6.6 billion by the end of this year. Such growth rates are possible thanks to the huge amounts of data generated by a wide variety of devices, which can be analysed and acted on.