Note: there is a gift for those who read to the end of this blog. “If you don’t know where you are going, any road… Read More »Leverage a Value-creation Framework to Unleash GenAI Innovation
While much of the focus on using Generative AI (GenAI) has been to improve worker productivity with tools like OpenAI’s ChatGPT and Microsoft’s Copilot, GenAI… Read More »Revolutionizing Analytics with GenAI-Driven Simulation
2025 will be the year when Artificial Intelligence (AI) must prove itself beyond driving mundane, easily replicated productivity improvements. To be successful, AI must fuel… Read More »Envisioning the AI Value-creation Maturity Curve – Lessons from the Internet
Image by Gerd Altmann from Pixabay In September 2024, Salesforce AI Research EVP and Chief Scientist Silvio Savarese posted at the Salesforce 360 site on… Read More »Large action models and the promise of true agency
Generative AI is a type of artificial intelligence. It creates new content based on the data it learns. This technology is powerful and versatile. In… Read More »Generative AI for supply chain management and its use cases
Generative AI is transforming the landscape of product development by enabling designers across various industries, such as furniture, fashion, and automotive, to push boundaries and… Read More »Generative AI for product design: From ideation to launch, faster & smarter
In my blog “The Economics of “Do More With Less”: Blending AI with Organizational Discipline,” I discussed the challenges organizations face when trying to accomplish… Read More »Sports Lessons: Leveraging Organizational Improv to “Do More with Less”
Retrieval-Augmented Generation, or RAG, is a game-changer for AI applications, allowing large language models to pull real-time, factual information from massive datasets to enhance their… Read More »Best practices for structuring large datasets in Retrieval-Augmented Generation (RAG)
Image by Malachi Witt from Pixabay I had the chance to listen to a talk that Ivan Lee, Founder and CEO of Datasaur, gave during… Read More »What to consider when selecting a learning model
Matchmaking has existed for millennia across cultures, but technology has rapidly accelerated the search for love in the 20th and 21st centuries. Scientific advancements have… Read More »The scientific quest to decode digital matchmaking
