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. ...
Claiming the Right to Win: How IFT Built CoDeveloper with Jay Gilbert | 110
Sidecar Sync
38 minutes
1 month ago
Claiming the Right to Win: How IFT Built CoDeveloper with Jay Gilbert | 110
Send us a text When an association with 85 years of food science knowledge decides to launch an AI product, what happens? In this episode, Mallory Mejias sits down with Jay Gilbert, Director of Scientific Programs and Product Development at the Institute of Food Technologists (IFT), to explore how IFT built CoDeveloper, an AI-powered platform designed to streamline R&D in food innovation. Jay shares how his journey from student member to staff gave him a unique edge in shaping tech that’s...
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. ...
