Elemental Cognition

🎙 New podcast 🎙 In our latest episode of the Chief AI Officer, Ben chats with Dr. Philipp Herzig, CAIO at SAP. They discuss the current state and future of enterprise AI, the importance of responsible AI practices, how to establish foundational guidelines for its use, and how to prioritize AI initiatives for maximum value. Here are three key takeaways: ✔ The tremendous potential for impactful use cases, but requires careful prioritization and strategic implementation. ✔Emphasizing transparency, bias-freeness, and explainability to ensure ethical AI deployment. ✔The importance of soft skills, comprehensive strategy development, and customer-centric approaches for aspiring AI leaders. Tune in now for more of Philipp’s insightful perspectives. 🎧 Listen on Apple: https://lnkd.in/dUvwzBNs 🎵 Tune in on Spotify: https://lnkd.in/djTk2FfT 📺 Watch on YouTube: https://lnkd.in/dQyRJ_JN #AI #EnterpriseAI #AIstrategy #AITechnology #ChiefAIOfficer

Good AI ethics policy defines what shouldn't change all the time: your values. Here are 3 core values that make up SAP's AI ethics policy from my recent conversation with their Chief AI Officer Dr. Philipp Herzig 👇 1. Enable human agency and oversight. 2. Ensure transparency and explainability. 3. Address bias and discrimination in model output. How does this impact how AI projects are rolled out at SAP? Any project, whether at the idea stage or fully in production, is repeatedly evaluated against those values. Doing this consistently ingrains AI ethics into your standard development procedures over time. I learned a lot from this conversation. Check out the full episode to get strategic and tactical advice from a CAIO at one of the world's largest software companies. Links in comments.

In a recent episode of the Chief AI Officer show, Peter Voss, Founder, CEO, & Chief Scientist of Aigo.ai - The Company with a Direct Path to AGI, explains why CEOs and other business-focused leaders can be misled into investing heavily in LLMs without understanding their true applicability and limitations. This can lead to costly and unnecessary implementations. Tune in now to learn more about the true pros and cons of LLMs! Full episode here: https://lnkd.in/dWtpAsCq #AI #EnterpriseAI #AIstrategy #AITechnology #ChiefAIOfficer

Great to see Elemental Cognition featured in this New York Times article about why large language models have a math problem, and how we’re fixing that at EC. “The world’s smartest computer scientists, it seems, have created artificial intelligence that is more liberal arts major than numbers whiz.” “Chatbots like Open AI’s ChatGPT can write poetry, summarize books and answer questions, often with human-level fluency. These systems can do math, based on what they have learned, but the results can vary and be wrong. They are fine-tuned for determining probabilities, not doing rules-based calculations. Likelihood is not accuracy, and language is more flexible, and forgiving, than math.” A wise perspective from Steve Lohr, especially important for a wide class of enterprise applications. Delivering AI that reliably solves mathematical optimization problems to automate complex decisions for businesses accurately and transparently is what we’re all about at EC. Read the full article here: https://lnkd.in/ewvX3HmQ

How can generative AI improve code and reduce defects? 👨💻 On a recent episode of the Chief AI Officer podcast, Steven Hall, President and CAIO of ISG (Information Services Group), talks about how GenAI is transforming code quality and security. With reduced defects and testing time, software development becomes more efficient and delivers higher quality products faster, which means they can get to market more quickly as well. Tune in now to learn more! Full episode here: https://lnkd.in/dKHYeZRh #AI #EnterpriseAI #AIstrategy #AITechnology #ChiefAIOfficer

🎙 New podcast 🎙 In our latest episode, Peter Voss, Founder, CEO, & Chief Scientist of Aigo.ai - The Company with a Direct Path to AGI, shares his insights on the current state of AI and large language models. Peter offers his perspective on the practical applications of AI in enterprises, the limitations of LLMs, and the future of cognitive AI. Peter also discusses the importance of a cognitive approach to AI development and how it can be transformative for businesses if and when it becomes more cognitive. Here are three key takeaways: ✅ How AI and LLMs are being practically deployed in businesses today, as well as how those use cases will evolve as the technologies advance. ✅ Insights into the inherent problems with LLMs, such as hallucinations and the black-box nature of these systems. ✅ How cognitive AI approaches can lead to more reliable, human-like intelligence and learning capabilities in real-time. Tune in to gain valuable food for thought from Peter! 🎧 Listen on Apple: https://lnkd.in/dHQng85f 🎵 Tune in on Spotify: https://lnkd.in/djC3ZgqB 📺 Watch on YouTube: https://lnkd.in/du4QGQzT #AI #EnterpriseAI #AIstrategy #AITechnology #ChiefAIOfficer

On a recent episode of the Chief AI Officer podcast, Steven Hall, President and CAIO of ISG (Information Services Group), explains how from defining features to creating user stories, GenAI accelerates the entire process of software development, optimizing early-stage development and driving better results. By leveraging enhanced insights and digital twins, organizations can accelerate requirements gathering and optimize early-stage development, leading to more effective and revenue-generating features. Tune in now to learn more! Full episode here: https://lnkd.in/dKHYeZRh #AI #EnterpriseAI #AIstrategy #AITechnology #ChiefAIOfficer

✅ What are some ways AI can enhance productivity at the enterprise level for engineering teams? In a recent episode of the Chief AI Officer Show, Barclay R. Brown, Ph.D., ESEP, AI Researcher, Expert, and Thought Leader, talks about how engineers spend up to 50% of their time searching for information. AI can automate these simple tasks, freeing engineers to focus on their core work. This efficiency boost can significantly enhance productivity and innovation. Full episode here: https://lnkd.in/eHga4FyJ #AI #EnterpriseAI #AIstrategy #AITechnology #ChiefAIOfficer

A question I often hear in my circles is, "Won't LLMs eventually do what your EC Reasoning Engine does? Won’t LLMs do it all?" The answer is no, and here's why. Put aside the fact that no LLM today gets anywhere near the abilities of the EC Reasoning Engine to solve complex problems reliably and interactively. The prevailing gospel today is “If we feed them enough data, LLMs will soon solve everything.” While LLMs can be trained to detect and generate all sorts of patterns, using LLMs for certain types of tasks may be like brushing your teeth through your ear. Even if you could do it, things won’t turn out quite the way you might have hoped. Clean teeth may end up being the least of your problems. Read this article to find out why.

How has generative AI already impacted numerous, varied industries? On a recent episode of the Chief AI Officer podcast, Steven Hall, President and CAIO of ISG (Information Services Group), talks about how GenAI is transforming industries, from accelerating product development to improving design processes. The principles of GenAI drive better software engineering, leading to faster development, secure code, and fewer defects— GenAI is revolutionizing the way we build products. Tune in to learn more! Full episode here: https://lnkd.in/dKHYeZRh #AI #EnterpriseAI #AIstrategy #AITechnology #ChiefAIOfficer