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. ...
DevDay 2025: No-Code App Development, ChatGPT Pulse, & The Trillion Dollar Infrastructure Play | 103
Sidecar Sync
45 minutes
3 months ago
DevDay 2025: No-Code App Development, ChatGPT Pulse, & The Trillion Dollar Infrastructure Play | 103
Send us a text This week on Sidecar Sync, Amith Nagarajan and Mallory Mejias dive deep into OpenAI’s biggest moves of the year—starting with how ChatGPT has evolved into a no-code platform capable of building full applications in minutes. They explore the implications of AgentKit, voice-first workflows, and whether associations should adopt or avoid these locked-in ecosystems. Mallory reveals how ChatGPT Pulse, a $200/month personal AI assistant, is reshaping expectations around newsletters a...
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. ...
