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. ...
When Influencers Disrupt Institutions with Jackson Boyar | 99
Sidecar Sync
43 minutes
4 months ago
When Influencers Disrupt Institutions with Jackson Boyar | 99
Send us a text Is the future of associations being rewritten by influencers? In this episode, Mallory Mejias is joined by Jackson Boyar, co-founder and CEO of Rallyboard, for a sharp and forward-thinking conversation about how digital creators are reshaping professional learning. They explore the competitive rise of “influencer-led” communities like Josh Bersin Academy, how associations can leverage trust and networks in the AI era, and why curated cohorts could be the key to long-term engage...
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. ...
