Applications closing for the Airtable AI Incubator
“Participants bring their biggest challenges and boldest visions, and the incubator provides the structure, mentorship, and platform to bring those ideas to life.”| For The Record
“Participants bring their biggest challenges and boldest visions, and the incubator provides the structure, mentorship, and platform to bring those ideas to life.”| For The Record
What's going wrong in the AI enterprise rollout, and what fundamentals are needed to make it work, according to the Google Cloud chief.| www.bigtechnology.com
The battle between news publishers and AI developers on using copyrighted material in generative AI model training may have some unintended consequences.| Public Knowledge
A Synthesis of Existing Evidence| ineslee.substack.com
By David Wells| GNET
The initial, feverish enthusiasm for large language models (LLMs) is beginning to cool, and for good reason. It’s time to trade the out-of-control hype for a more pragmatic, even “boring,” approach. A recent MIT report shows that 95% of companies implementing this technology have yet to see a positive outcome. It’s understandable to feel confused.| Scott Jenson
Retrieval-Augmented Generation (RAG) is powering the current wave of AI applications, from multimodal question answering and technical document summarization to streamlining knowledge-intensive work flows. But bringing these applications to production quickly, effectively, and with a clear path to ROI is hard.| Zeta Alpha
“Artificial intelligence” is a failed technology. It’s time we described it that way.| ethanmarcotte.com
Navigating Around Anxiety and FOMO in Applied AI| www.digitalnative.tech
Food for Agile Thought #507: First AI Product, POM Transformation Models, Talking $$ to Stakeholders, AI Winter? — Age-of-Product.com| Age-of-Product.com
NeuroMetric is launching a preview of our evaluation platform next week. Visit https://www.neurometric.ai/ and sign up to be among the first to transform your AI implementation strategy.| neurometric.substack.com
Reading Time: 3 minutesRecent MIT research, popularized in Fortune and other publications, uncovered a sobering statistic: 95% of enterprise GenAI projects fail to deliver positive ROI. Despite billions of dollars invested, most organizations are left with stalled pilots, brittle workflows, and no measurable...| Data Management Blog - Data Integration and Modern Data Management Articles, ...
Andy Bell had heard companies were forcing employees to use AI tools so spoke to developers to determine if that was the case and learned some horrors in the process.| Piccalilli
If everyone believes that your Dad hugged you, is that just as good?| www.staygrounded.online
While 95% of AI initiatives stall, the companies that succeed will need a new type of product professional.| www.productparty.us
The failure mode that stalls “AI for data” efforts or "AI on my APIs" efforts isn’t psychedelic hallucination—it’s confident inaccuracy: plausible answers that are wrong in subtle and costly ways.| PromptQL
It’s not AI winter just yet, though there is a distinct chill in the air. Meta is shaking up and downsizing its artificial intelligence division. A new report out of MIT finds that 95 percent of companies’ generative AI programs have failed to earn any profit whatsoever. Tech stocks tanked Tuesday, regarding broader fears that […]| defector.com
