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IBM Db2 has introduced a native vector data type and vector similarity search capabilities in its latest Early Access Program (EAP) release. These new features enable Db2 to support powerful AI-driven use cases such as semantic search, recommendations, and Retrieval-Augmented Generation ...
API Connect Analytics holds full information on all of your API events. This information can prove invaluable in training AI models using machine learning. Possible use cases could include training data for automated tests or for security anomaly detection. IBM Cloud Pak for Data (CP4D)...
Generative AI technologies are capable of incredible feats: chatbots that speak fluently when answering our questions, image generation models that produce high-fidelity artworks and illustrations from our words, and coding assistants that help us write source code more quickly. New applications...
Generative AI is unlike any technology that has come before. It’s swiftly disrupting business and society, forcing leaders to rethink their assumptions, plans, and strategies in real time. To help CEOs stay on top of the fast-shifting changes, the IBM Institute for Business Value (IBM IBV) is...
SUMMARY_The CEO’s guide to generative AI Platforms, data, and governance.pdf
AI-powered automation can tackle complex tasks and drastically streamline workflows—unlocking new possibilities to create value #Highlights-home #Highlights #Highlights-home #Highlights #AI #ArtificialIntelligence
Most organizations make decisions throughout the day, decisions that can determine the success or failure of the business. These decisions can be a fundamental, for example, to approve a loan, pay a claim, onboard a customer, renew a license, buy more materials, hire an employee, or release a...
In part 3 , you realized the following: How many experts are needed to identify the following? Solution architecture/topology The resources required for each transaction The key performance indicators for each resource The key log messages for each resource The threshold for...
In part 1 , I provided the primary activities that take place in the post-production phase. The purpose of these activities is essentially to keep the production software solution running so that the business value it was created for is attained. Needless to say, the higher the business value,...
In this series of blog posts, I would like to identify areas in IT operations where fusing AI will be compelling to do. Before we decide that AI should be fused in every day’s IT operational activities, we should present traditional (non-AI) IT operational use cases and highlight corresponding...
Decisions about storage are a key element to the success of any artificial intelligence (AI) or deep learning (DL) project, as demands on storage keep growing. For the past few years there has been a huge growth of data – the “Big Data” phenomenon. Now, there are new requirements to support...