As AI’s presence in our lives increases, so does the number of diverse founders leveraging it to develop positive, socially impactful services and products.
Enterprises need to understand how much to budget into AI tools, how to weigh the benefits of AI vs. new recruits, and how to ensure their training is on point.
Some thoughts on AI aesthetics, the challenge of uninsurability, and how to pitch a biotech startup to non-experts.
Boomerang thinks so. It uses machine learning to match photos and descriptions of lost items to streamline the lost and found process.
Richard Marcus Contributor Richard Marcus is the head of information security at AuditBoard. Many have described 2023 as the year of AI, and the term made several “word of the year” lists.
As you’ll see, the companies think the numbers look pretty good, and they really do match up well (so long as HPE doesn’t mess it up).
January has thus far seen 23,670 known tech layoffs, sourced from 85 known reductions, and hitting tech shops big and small.
Data from various surveys show that there's an exodus in academia where it concerns top AI talent — and where they end up.
Despite all the enthusiasm, there's a niggling detail that deserves our attention: AI startups often have worse economics than most software startups.
Balancing protective measures, like data protection protocols, with progressive strategies, such as AI-driven product rollouts, is essential.
We all make mistakes. But sometimes we forget that technology does, too — especially when it comes to AI, which is still in its early days in many respects.
CES was definitely worth watching closely, if only just for the rise of age tech.
In this world of exploding innovation in the AI industry, a great name paired with a great product will make your technology rise above.
Execs are skeptical about generative AI for a range of reasons, as revealed by a recent survey published by Boston Consulting Group.
It's not impossible that the tagline may flip to "Quora, brought to you by Poe" from "Poe, brought to you by Quora."
Building a profitable AI business poses unique challenges beyond those faced when launching a typical tech startup.
As companies, large and small, layer on generative AI features, they could struggle to find a pricing scheme that balances value and cost.
Harnessing AI to drive innovation and deliver enhanced customer value will be critical to staying competitive in the AI-driven marketplace.
The time is nigh for the U.S. and other mature markets to get in the game before falling behind in a brave new world of data ownership rights.
Investors are hoping for more enterprise adoption and vertical AI solutions this year as the AI startup market starts to grow up.