Joe McKendrick

1 week ago | forbes.com | Joe McKendrick

Lately, there has been no shortage of talk of managing organizations around “AI-first” approaches, meaning managers would consider whether AI could do a job, or set of tasks, before humans are brought in. But AI-first goes deeper than that, suggesting an organization’s entire culture can be redesigned to incorporate the broad intelligence solutions that AI platforms and tools can offer. How would such an organization look, and is this something a decades-old company could pull off?

1 week ago | forbes.com | Joe McKendrick

Nothing is more vulnerable than supply chains – everything and anything can rock them without notice. Tariffs, weather events, political disruptions, economic issues, worker shortages, and epidemics will always disrupt even the smoothest-flowing chains. Let’s not even get started on the 2020 Covid toilet-paper crisis. And we’re seeing the potential pain Apple is facing with tariffs on its manufacturing operations in China.

1 week ago | zdnet.com | Joe McKendrick

Bill Oxford/Getty ImagesAgentic AI may offer compelling productivity benefits, but it still falls flat when it comes to the heavy lifting of day-to-day operations and technology development. Still, technology leaders and proponents see great advantage in putting agents to work in many key areas of their businesses. At the end of last year, Carnegie-Mellon University researchers released details on the performance of a mock company they assembled running entirely on AI agents.

1 week ago | dbta.com | Joe McKendrick

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The challenge is an insatiable demand from businesses for AI capabilities, which rely on access to data that has be reliably vetted and relevant to the prompts or queries at hand. Graph databases and knowledge graphs—especially when combined—fulfill this role.

1 week ago | forbes.com | Joe McKendrick

The word on agentic AI’s ability to deliver on its promises is: so far, so good. With caveats. A majority of 300 senior executives adopting AI agents, 66%, say they’re delivering positive results in terms of productivity, a recent PwC survey suggests. But, let’s face it -- all systems deliver some degree of productivity. What executives need is that extra edge that delivers extreme competitive differentiation.