Person
1 episodes · 14 quoted claims
Nishtha Jain said a report on the state of AI in 2025 found that 90 to 95 percent of generative AI pilots fail to move into full production.
“I understand that the report says that ninety to 95% of gen AI pilots fail to transition to full production.”
Nishtha Jain said executives expect almost ten times productivity from AI by the third quarter, and teams want everything automated immediately.
“Executives want almost ten x productivity. Um, say by end of quarter three or every quarter, teams want auto everything now”
Nishtha Jain said employees fear AI will replace them while leaders fear implementing the wrong thing.
“the employees are worrying, will AI replace me? Leaders are worrying, what if we implement the wrong thing?”
Nishtha Jain said finance teams typically evaluate AI initiatives by asking whether they return headcount or save cost.
“The way finance asks about AI initiatives is, uh, you know, will you give me the headcount back?”
Nishtha Jain described ROI as financial return, including savings from faster processes, fewer errors and new revenue streams.
“ROI here is, you know, what it sounds, which is return on your investment or return on your finances.”
Nishtha Jain defined ROE as return on employee experience, which she said is hard to quantify.
“ROE, so that is return on employee experience, because that's, you know, something you cannot put a number to”
Nishtha Jain said research shows companies investing in employee experience retain employees better and improve customer satisfaction.
“research is showing that, you know, companies in investing in employee experience can retain employee better, and, you know, also promote customer satisfaction.”
Nishtha Jain defined ROF as return on future, treating AI as a strategic enabler of innovation and competitive advantage.
“ROF, which is the return on future. So, you know, AI is a strategic enabler, um, for bold innovation and creating competitive advantage.”
Nishtha Jain said companies have used machine learning and other traditional AI approaches for over a decade.
“AI has been there for a really long time, and over a decade, companies have been using machine learning, um, and, you know, more traditional AI approaches”
Nishtha Jain said organizations are moving from one-, two- and five-year roadmaps to monthly roadmaps.
“instead of the traditional roadmapping that used to be for a year, for two years, for five years, um, you know, organizations are now mo moving to monthly roadmaps”
Nishtha Jain said enterprise decision-making should be anchored in customer problems rather than technology trends.
“it needs to be anchored in customer problems and not the technology trends”
Nishtha Jain described a virtual reality and metaverse hype wave around 2020, when much activity moved online.
“then there was a VR burst, I would say when, um, it, it was 2020, when everything was going virtual”
Nishtha Jain said many companies chose not to move from paper-based to digital operations during the internet era.
“even with internet, you know, there were a lot of companies that decided not to move from paper-based to digital.”
Nishtha Jain cited the Blockbuster and Netflix story as a famous example of how technology change reshaped a market.
“the the famous story we hear is the blockbuster Netflix story, um, that, you know, how, how that all changed.”