Simply having data isn't enough-how you organize, govern, and activate it makes all the difference. Leading organizations implement three specific practices: connect all your data together, label and organize it so it's easy to find, and set controls to ensure only the right people (or agents) have access to sensitive data sets.
Big companies are busy hiring chief AI officers and setting up tiger teams to pilot agentic products. However, LinkedIn cofounder Reid Hoffman says this overlooks where automation actually pays off - in the "unglamorous layer" of day-to-day work. Speaking with AI engineer Parth Patil on his "Possible" podcast, Hoffman said a company's AI transformation involves employees "being able to talk to each other about it and do collective learning."
Agentic AI is dominating conversations in enterprise technology today. In simple terms, agentic AI refers to autonomous AI "agents" that can pursue complex goals and carry out multi-step tasks with minimal human supervision. This isn't just another tech buzzword - industry leaders see agentic AI as "the operating logic of tomorrow's enterprise". In other words, agentic systems are expected to fundamentally transform how businesses operate by taking on decision-making and workflows that previously required constant human input.
"Overall, [Briggs] said, AI is becoming less of a rising star and more of an ambient operator that will quietly influence how organizations think about every process, product, and decision. 'AI is poised to evolve much like electricity-invisible in our daily lives but powering everything,' he said."