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

Software teams are shipping faster than ever, but speed hasn't solved the oldest problem in the industry: most software still isn't very good. AI coding tools have lowered the barrier to building something, yet they haven't lowered the barrier to building something worth using. A ...  Show more

As AI takes over more technical and routine work, the skills that set data and AI professionals apart are shifting. Raw technical ability and a high IQ still matter, but they are becoming table stakes as tools get more capable and teams get smarter. What increasingly separates pe ...  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

A.I.-enabled creative technology is evolving at an astonishing speed and becoming increasingly accessible to all. Chatbots, image processors and music generators are changing the way humans create, but they are also raising concerns around ethics, authorship and intellectual prop ...  Show more