[DataFramed AI Series #2] How Organizations c...

AI agents are only as useful as the data they can reach, and most company data is scattered across clouds, data centers, and legacy systems. Giving agents access is easy to get wrong, especially when the data includes salaries, customer records, or financial results. That's why g ...  Show more

AI agents are getting easier to build and connect. Open standards now let them discover each other, pass messages and use shared tools. But connecting agents is not the same as getting them to work toward the same goal, and research on multi-agent systems shows that misalignment ...  Show more

Many fear a future where huge swaths of the workforce are replaced by AI. But those concerns are based on a fundamental misunderstanding of how companies can best unlock AI's profit-boosting potential, says Julie Bedard, a Fellow at BCG Henderson Institute. Instead of replacing p ...  Show more

While Artificial Intelligence (AI) itself is not new – many organisations, knowingly or not, already use forms of AI technology within their businesses – we are now at the cusp of a major change. So just as the internet of things changed the way we work, connect, shop, spend our ...  Show more

The potential of new AI tools is unarguable, but the fundamental question remains: How much do you trust AI? In this episode, which originally aired as part of our Top of Mind video series, Gartner Distinguished VP Analyst Mary Mesaglio explores both our trust and distrust of dig ...  Show more