When it comes generative AI, information actually is your moat. This week, we cowl the newest in gen AI analysis from the Boston Consulting Group (BCG) (you’ll have learn VentureBeat’s Matt Marshall’s latest perspective on the findings). I additionally deliver an skilled visitor to assist use decide why chief information officers are set as much as fail. Let’s dive proper in.

• Enhancing and destroying productiveness with gen AI: Within the BCG research, 90% of members improved their efficiency when utilizing gen AI for artistic product innovation, and actually converged on a stage of efficiency that was 40% larger than that of these engaged on the identical activity with out gen AI. Nonetheless, when members used the know-how for enterprise drawback fixing, they carried out 23% worse than these doing the duty with out GPT-4. Even members who had been warned about the potential of flawed solutions from the software didn’t problem its output. Backside Line: Gen AI is a robust leveler of efficiency however folks would possibly distrust the know-how in areas the place it may well contribute large worth and, conversely, belief it an excessive amount of in areas the place it isn’t competent.

• Easy methods to prioritize generative AI use instances: Drawing from examples of nice organizations (Wendy’s, Mayo Household Basis, Walmart, Wayfair, Bloomberg) and analysis from BCG, McKinsey and extra, I unveil my “MT-CAC” acronym to pick out the correct use-cases for enterprise gen AI functions. MT-CAC stands for Multi-Modal, Trusted, Current, Applied, Contextual. On this LinkedIn Dwell, we additionally talk about why information high quality is in reality your moat and the way genAI execution is stuff between FOMO and FOMU proper now.

• Are information leaders set as much as fail? A meager 20.6% of executives reported {that a} information tradition had been established inside their corporations, down from the 28.3% of corporations that established an information tradition in 2019. It doesn’t appear we’re making progress. What’s actually occurring? My particular visitor explains.

The CarCast additionally contains extras equivalent to: “The most recent cybersecurity MAP,” “The way forward for generative AI in 15 charts” and insights from Netflix cofounder Marc Randolph on what defines an organization.

Bruno Aziza is a know-how entrepreneur and accomplice at CapitalG, Alphabet’s impartial progress fund.