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. ...
What to Expect at digitalNow 2025 & the App That Picks Your Sessions (Built Live!) | 106
Sidecar Sync
41 minutes
2 months ago
What to Expect at digitalNow 2025 & the App That Picks Your Sessions (Built Live!) | 106
Send us a text In this solo episode, Mallory Mejias takes the reins to unveil what digitalNow 2025 reveals about the current state of AI in associations—spoiler alert: we're officially in the "AI adolescence" phase. From cultural adoption to trust-building, she unpacks the four key insights her analysis surfaced from the event’s full schedule. But that’s not all—Mallory goes off-script to live-build a conference session recommender app on air, showing how even non-technical folks can leverage...
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. ...
