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. ...
All content for Sidecar Sync is the property of Amith Nagarajan and Mallory Mejias and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
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. ...
Claude Sonnet 4.5 Redefines Workflows, Sora 2 Transforms Video, & Early Movers Build the Future | 102
Sidecar Sync
1 hour 14 minutes
3 months ago
Claude Sonnet 4.5 Redefines Workflows, Sora 2 Transforms Video, & Early Movers Build the Future | 102
Send us a text In this jam-packed episode of Sidecar Sync, co-hosts Amith Nagarajan and Mallory Mejias tackle five cutting-edge AI developments, all (mostly) fitting into three big buckets. From the powerhouse that is Claude 4.5 Sonnet to OpenAI's stunning new Sora 2 video model, this episode dives into real-world use cases, experiments, and emerging tools that are reshaping how associations can work smarter. They also break down the promise of computer use models, the future of AI-native bro...
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. ...
