Send us a text In this episode of Sidecar Sync, Amith Nagarajan and Mallory Mejias dig into the startling findings of a recent MIT study: 95% of enterprise AI initiatives are failing to deliver measurable impact. Why are so many organizations investing in AI only to watch their efforts fizzle? Mallory and Amith unpack 10 core reasons for these failures—ranging from building chat-first features instead of end-to-end workflows, to skipping the unglamorous data cleanup that powers real results. ...
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Send us a text In this episode of Sidecar Sync, Amith Nagarajan and Mallory Mejias dig into the startling findings of a recent MIT study: 95% of enterprise AI initiatives are failing to deliver measurable impact. Why are so many organizations investing in AI only to watch their efforts fizzle? Mallory and Amith unpack 10 core reasons for these failures—ranging from building chat-first features instead of end-to-end workflows, to skipping the unglamorous data cleanup that powers real results. ...
Rapid Fire AI Updates & The Coming Energy Reckoning | 96
Sidecar Sync
39 minutes
4 months ago
Rapid Fire AI Updates & The Coming Energy Reckoning | 96
Send us a text In this episode of Sidecar Sync, Amith Nagarajan and Mallory Mejias tackle the latest developments in AI with a fast-paced series of updates—from Claude overtaking ChatGPT in the voice mode battle, to Google's shockingly tiny Gemma 3 model, to the rocky rollout of GPT-5 and what it teaches us about innovation at scale. Then, the duo zooms out for a big-picture look at AI’s massive and growing energy demands. Can AI keep advancing without breaking the grid? Enter neuromorphic co...
Sidecar Sync
Send us a text In this episode of Sidecar Sync, Amith Nagarajan and Mallory Mejias dig into the startling findings of a recent MIT study: 95% of enterprise AI initiatives are failing to deliver measurable impact. Why are so many organizations investing in AI only to watch their efforts fizzle? Mallory and Amith unpack 10 core reasons for these failures—ranging from building chat-first features instead of end-to-end workflows, to skipping the unglamorous data cleanup that powers real results. ...
