Relationship status? For industries and AI, it’s complicated
AI and industries should be the best of partners. But as our Enterprise AI Maturity Index research revealed, AI’s relationship with telecom, banking, and manufacturing is rockier than expected. So, consider this edition of The Lead Line couples therapy! Here’s how to “do the work” when it comes to building an enduring love affair. Dig in!
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Telecoms need AI—here’s how the Pacesetters are making it work
Telecom operations are vast, multi-layered, and highly regulated. That’s why untangling telecom's "bowl of spaghetti" architecture requires more than just throwing AI at the problem. But not embracing AI is simply not an option. Read on for the tools telecom AI Pacesetters use to make AI work for them.
The race is on (but the pace is off)
How banks can cash in on the agentic AI evolution
Implementing new technology in banking is always a balancing act between speed and responsibility. So, when agentic AI followed fast on the heels of generative AI, there was a collective groan in finance-land. But not to worry! Our research shows that 41% of banking AI Pacesetters have already found a way to use agentic AI. How? They follow these five best practices.
One (data) brick at a time
How manufacturers are building an AI future
Just like the other industries we surveyed, manufacturing and AI are doing a complicated technological tango. For manufacturers, the hardest move is getting their data and IT foundation in place. But, surprisingly, 89% are already in the groove, reporting higher productivity and cost savings. Learn a few smooth moves from manufacturing AI Pacesetters!
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Agree that there are real AI adoption blockers in highly regulated, field-service-based and complex industries. But at Quickbase we’re seeing that, for companies willing to give it a try, it’s enabling them to design frameworks that work the way they do. The potential here is enormous. We’re already seeing incredible use cases and look forward to more companies solving long-standing challenges this way.
Thanks for sharing
AI courts the industries with charm and might, Yet still they flinch at love cloaked in data-light.
The distinction between generative and agentic AI is critical, especially in highly regulated industries like banking. The focus on responsible implementation, human oversight, and governance really stands out. Exciting to see how these best practices shape the next wave of intelligent automation in finance. Thanks for sharing!
Insightful