IBM AI Related News

IBM mainframes, renowned for their reliability, scalability, security, and transaction processing capabilities, are ideally positioned to support modern AI and ML workloads. Improved productivity: Automating repetitive tasks and offering intelligent suggestions speeds up development and operational processes, addressing the skills gap in mainframe expertise.

Large language models (LLMs) have dominated the AI conversation, fueled by the popularity of ChatGPT and similar gen AI apps. However, small language models (SLMs) are on the rise. More compact and efficient, SLMs use less memory and processing power. This makes them well-suited for resource-constrained environments. Their ability to produce unique content and insights from vast datasets has captivated the world and spurred new tools and apps, further cementing their cultural impact, especially in the enterprise. With Dr. Juan Bernabe Moreno, Director of IBM Research® Europe for UK and Ireland, we’ll explore how SLMs can benefit enterprise AI adoption.

IBM® Creative Assistant, built with IBM watsonx™, uses the power of generative AI to jumpstart marketing content creation. Creating content that abides by brand guidelines, suits compliance requirements and connects with various audiences is a resource-heavy endeavor that often puts enormous pressure on creative teams.

Marc Benioff, Chair and CEO of Salesforce, said: “We’re excited to expand our presence in Saudi Arabia and the Middle East region and help drive innovation, enhance productivity, and support key digital transformation initiatives with our Agentforce digital labor platform.” Khalid Alfalih, Minister of Investment of Saudi Arabia, said: “Salesforce’s decision to establish its regional headquarters in Riyadh, combined with its partnership with IBM to launch an AI Center of Excellence, marks yet another milestone in Saudi Arabia’s journey toward becoming a global hub for investment in technology, in innovation and, most importantly, in Saudi talent.”

Ready to try Lag Llama for yourself? Find the code here → https://github.com/IBM/ibmdotcom-tutorials/blob/main/generative-ai/time-series-forecasting-lag-llama.ipynbLearn more about LAG Llama here → https://www.ibm.com/think/tutorials/lag-llamaForecasting the future just got a whole lot more precise! Join Meredith Mante as she takes you on a deep dive into Lag Llama, an open-source foundation model, and shows you how to harness its power for time series forecasting. Learn how to load and preprocess data, train a model, and evaluate its performance, gaining a deeper understanding of how to leverage Lag Llama for accurate predictions. AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120#ai #machinelearning #deeplearning