Tony Baer

2 months ago | siliconangle.com | Tony Baer

Name the hot buttons about generative artificial intelligence, and they often center around data. Here’s just one example. A recent survey of more than 300 risk and compliance professionals on AI by risk management firm Riskonnect revealed top concerns over data privacy and cyber issues. It was followed closely by employee decisions based on erroneous information, and with it, employee misuse and ethical risks. And then there were copyright and intellectual property risks.

Jan 21, 2025 | siliconangle.com | David Vellante |with Sanjeev Mohan |Tony Baer |Carl Olofson

In just two short years, the entire data and technology industry has undergone a seismic shift. Tech stacks — from top to bottom — are being tuned to harness extreme parallel computing, often called accelerated computing. From silicon to infrastructure and throughout the software layer, nowhere is this transformation more pronounced than in the data stack. Over the past seven years, modern cloud-native data platforms set the agenda.

Jan 6, 2025 | siliconangle.com | Tony Baer

It’s hard to ignore the elephant in the room: Generative artificial intelligence pretty much dominated the conversation in 2024, and going forward that’s not likely to change anytime soon. Given that generative AI burst onto the scene barely a couple years back, it’s not surprising that innovations on refining generative models to make them more sustainable and useful are making the technology a fast-moving target.

Jun 5, 2024 | siliconangle.com | Tony Baer

Forgetting the fact that it took 30 years for Nvidia Corp. to become an overnight success, its incredible rise over the recent past looks like it has the makings of a bubble. About 15 years ago, the company made a riverboat gamble to pivot from gaming toward high-performance computing and artificial intelligence, and the numbers have been getting crazier. Revenue has more than doubled year-on-year for the last three straight quarters. Having pushed longtime leader Intel Corp.

Feb 27, 2024 | siliconangle.com | Tony Baer

This is the second two parts. You can read part one here. Yesterday, we rained on the generative artificial intelligence parade. We stated that that today, gen AI is currently a cost sink, with the true promise not coming until at least 12 to 24 months off. Today it’s time to clear the clouds. We’ll start with “The Wizard of Oz” metaphor that we promised yesterday. It plays out in several ways. The first metaphor is The Yellow Brick Road.