Coding on the Playa

The recent AI landscape has felt like Diplo’s feet after trudging six miles through the muddy playa at Burning Man—sticky and heavy with existential questions.

ChatGPT's user sessions have plummeted 29% since May, and it's not just because the novelty has worn off. The suspected reason? It’s been demoted from AI Oracle to dancing code-monkey now that a third of all GPT use cases are for programming assistance. At the same time, public concern about AI is spiking, and even 'X' has unabashedly declared its intent to use public data for AI training.

So, where do business leaders stand in an increasingly algorithm-driven world?

The AI arms race is not just about who has the most advanced technology, but who can deploy it most effectively to drive innovation and gain business value. Experts predict that the future belongs to small but mighty teams leveraging AI-powered workflows.

And, with 80% of Fortune 500 teams already using ChatGPT, the enterprise version erases the previous data risks, allowing for full focus to be on augmented team performance. The question now is: How will organizations decide to use it?

CHART OF THE WEEK

AI's Impact On Disease Prediction & Personalized Treatments

Ever tried transferring medical records? It's a headache.

But according to experts like Ed Kopetsky, the former CIO of Stanford Children's, the next frontier of healthcare involves using this historical data to shape the industry’s future. Innovative solutions are emerging, and with over a decade’s worth of digitized healthcare data at our fingertips, we're sitting on a goldmine of insights.

Back in July, we pulled together an all-star panel for our webinar, Demystifying AI for Healthcare, which included industry leaders like Kopetsky; AI expert, Mida Pezeshkian, Ph.D.; and Ohad Zadok, Co-Founder & CTO at Alike.Health. During the panel, we posed a burning question to our 300+ attendees about where they think AI has the greatest potential in the healthcare experience.

The consensus? AI's biggest impact will be in disease prediction and personalized treatments.

GEN AI

Healthcare Implementation: Where AI Programs Go to Die

If you feel like trying to scale your AI/ML models in healthcare is like hitting your head against a brick wall, you're not alone.

Mida Pezeshkian, Ph.D, dives deep into this very conundrum in her latest piece, laying down the gaps and roadblocks that often turn AI implementation into a high-stakes game of Jenga. Why? Resistance to change often leads to an incomplete ecosystem where during robust economic moments, AI projects resurface, and during low times, AI and innovation take a back seat—resulting in intermittent progress rather than the consistent change management necessary to effectively launch these programs into the clinical practice.

But it's not all about the doom and gloom—Pezeshkian offers actionable tips to not just implement but actually scale your AI programs for lasting impact. If you're looking to turn your AI ambitions into healthcare game-changers, this is your guide.

Read the Full Article

EVENTS

The Secret to Sourcing AI Talent

The AI talent war is heating up, and traditional hiring methods just aren't cutting it anymore.

Join us on October 25th at 11am EDT for our webinar The Secret to Sourcing AI Talent—we’ll dive into the game-changing approach that's revolutionizing how companies build and scale new AI pilots.

Sign Up for the Webinar

AI DISCOVERY ZONE

Ever wished for more episodes of your favorite TV show?

San Francisco-based startup Fable has got you covered with The Simulation. It's a new AI tool that lets you script entire seasons with just a single prompt.

But before you start killing off your least-fave characters, it’s worth noting that these aren't your run-of-the-mill, lifeless chatbots. They're evolving AI characters, living and growing in their own simulated universes.

MISSION MUST-READS

• ‍The Top 3 Use Cases for Generative AI in Healthcare‍
• Decoding Generative AI’s Privacy Paradox

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