Harvard Business Review’s Post

The Harvard Business Review does a good job of laying out 6 areas companies should focus on to get the most out of AI. Some form of one or more of these comes up in every customer conversation we have. 𝐁𝐞𝐡𝐚𝐯𝐢𝐨𝐫𝐚𝐥 𝐂𝐡𝐚𝐧𝐠𝐞  𝐂𝐨𝐧𝐭𝐫𝐨𝐥𝐥𝐞𝐝 𝐄𝐱𝐩𝐞𝐫𝐢𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧  𝐌𝐞𝐚𝐬𝐮𝐫𝐞𝐦𝐞𝐧𝐭 𝐨𝐟 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐕𝐚𝐥𝐮𝐞  𝐃𝐚𝐭𝐚 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭  𝐇𝐮𝐦𝐚𝐧 𝐂𝐚𝐩𝐢𝐭𝐚𝐥 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭  𝐒𝐲𝐬𝐭𝐞𝐦𝐬 𝐓𝐡𝐢𝐧𝐤𝐢𝐧𝐠 You can read about this in greater detail here: https://lnkd.in/gkfVqSHY

There’s no way around it. The time to plan for AI skills and roles is now. Just a year into the GenAI hype cycle, the question is no longer whether enterprises must skill up employees for the age of AI. It’s when and how they should do it.

There’s no way around it. The time to plan for AI skills and roles is now. Just a year into the GenAI hype cycle, the question is no longer whether enterprises must skill up employees for the age of AI. It’s when and how they should do it.

There’s no way around it. The time to plan for AI skills and roles is now. Just a year into the GenAI hype cycle, the question is no longer whether enterprises must skill up employees for the age of AI. It’s when and how they should do it.

The 6 Disciplines Companies Need to Get the Most Out of Gen AI

Exciting News! We're partnering with Today's General Counsel for an insightful webinar on AI, happening on July 25th! Join us as we explore how AI is revolutionizing document review and addressing key challenges: ✔️ Manual Labeling: Discover how AI can eliminate the need for manual labeling, making the document review process more efficient. ✔️ Lack of Context: Learn how AI can provide valuable insights to improve the understanding of relevant documents. ✔️ Workflow Overload: Find out how AI can automate and prioritize workflows to enhance productivity. Don't miss this opportunity to gain valuable insights on the future of document review!

As we reach midweek, let's stay motivated by focusing on the AI innovations that are driving business success. How is your company adapting? #WednesdayInspiration #AIInBusiness #DigitalTransformation #BusinessInnovation

Some observers are beginning to question whether gen AI will produce enough value to exceed its costs. It can, but extracting economic value from gen AI requires several different types of disciplined capabilities. Unfortunately, most companies lack these. The good news is they can develop them. Specifically, companies should invest in behavioral change, controlled experimentation, measurement of business value, data management, human capital development, and systems thinking. Once these capabilities are in place, companies should focus on picking the right projects for gen AI. They should do this by 1) funding the responsible rebels, 2) choosing projects that are quick, practical wins, and 3) linking those projects to the company’s identity.

🚀 AI Insight of the Day “Is AI safe to deploy?” is one of the top questions asked as we work with companies. Based on EPByte's years of work with frontier model developers and companies deploying AI, we believe the best approach is implementing a risk-based test and evaluation framework to ensure the AI is safe for its intended use case.

Dramatic changes in the US economy! Here are 4 design patterns that researchers and developers are adding to AI right now: reflection, tool use, planning and multi-agent collaboration. Once these design patterns become widely available we are going to see another step function of AI capability. AI will become able to spot errors that are common today and fix them automatically. For instance, today we see such errors with reasoning and math. AI will also be able to automatically complete larger, more complex projects. I believe as a result, by the end of this, year we are going to see dramatic changes in the US economy emerge. Check out Andrew Ng discussing those design patterns at Sequoia Capital's AI Ascent! https://lnkd.in/gY9q92B7 #AiReflection, #AiToolUse, #AiPlanning, #AiMultiAgentCollaboration