IBM Institute for Business Value’s Post

Checkout the key findings at the top of the article for a summary of #CEOs thoughts on #GenAI opportunities and barriers! #AI

Why open models matter for enterprise AI deployment? - 63% of executives cite model cost as the primary obstacle to generative AI adoption. - 58% cited model complexity as a top concern. https://lnkd.in/eZcZTEX5

Shobhit Varshney of IBM Consulting on #AI #model optimization: ”If generative AI is the right technology for the task, you have to look at a variety of factors and constraints to help you choose the right model, like the task complexity, cost envelope, how accurate it needs to be, latency of response, auditability for compliance, context window. You fit the model to the task and the constraints of the business process itself, and overall you’ll have the right mix of models for your AI strategy."

I highly recommend this article by Oracle on AI in the Enterprise. It is a comprehensive and insightful overview of how AI can transform various industries and create value for businesses and customers. The article provides concrete examples of AI use cases and benefits in retail, healthcare, manufacturing, and financial services. It also discusses the challenges and opportunities of AI adoption and how Oracle can help enterprises overcome them with its AI solutions. This article is a must-read for anyone who wants to learn more about the potential and impact of AI in the modern world.

Last year was about ideas, but this year’s #SummerofAI is all about action. This is exactly what Databricks echoed in their new State of Data + AI report: #AI is here and is already an integral part of our world and business practices. Read our latest blog for a TL;DR on developments in enterprise AI, plus how policymakers at the federal and state level are trying to keep up the pace 📈 https://lnkd.in/g3nqyH-C

“There is no one large language model (LLM) to rule them all, at least not according to enterprise IT leaders surveyed by IBM. That finding is part of a new report released today by the IBM Institute for Business Value, titled “The CEO’s Guide to Generative AI: AI Model Optimization.” The report is based on a survey of U.S.-based executives collaborating with Oxford Economics.” Visit VentureBeat to learn more! #GenAI #LLMs #developers #opensource #innovation https://lnkd.in/g-sciNPu

With the right application, generative AI may help businesses achieve high returns on investment (ROI) in several different business domains. For businesses to get the best return on investment, generative AI solutions must be properly incorporated into their current workflows, performance must be regularly monitored, and iterations must be made in response to feedback and shifting business requirements. When applying AI technologies, it's also critical to make sure that ethical and legal requirements are met. Learn more in the article below. #webdevelopment #html #css #javascript #fullstackwebdevelopment #ITsupport #topnotchITservice #ITconsultation #businessconsultation #remotebusinesssupport #digitalmarketing #virtualassistance #graphicsdesign #LocalSEO

Read on to see how this development helps organizations make sure that their AI model results are accurate, transparent, fair and explainable, and that AI use is governed for the broader good, hosted on  one unified platform governing both Generative AI and Predictive Machine Learning (ML) across the entire AI lifecycle.

Mahesh Thiagarajan shares his thoughts on how companies can use generative AI to drive the highest ROI in the The Wall Street Journal: https://lnkd.in/dJ6mZ4iK

Oracle CIO Jae Evans shares how technology leaders can find meaningful ways to use generative AI in their businesses today in Forbes: https://lnkd.in/g3gFp6mm #generative-ai #technology-leaders