IBM

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• Development ... Notebooks ... AI Pair Programming ... Codeless ... Hugging Face ... AIOps/MLOps ... AIaaS/MLaaS
• Building Your Environment: Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI, IBM Watson | Bradford Cross
• Explainable / Interpretable AI: Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives - IBM
• Assistants: How to build a Chatbot for your business | IBM Watson Assistant
• Processing Units - CPU, GPU, APU, TPU, VPU, FPGA, QPU: Summit (supercomputer) | Wikipedia
• Bot Framework: IBM Watson Assistant building conversational interfaces into any application, device, or channel
• Turi: Machine Learning in iOS: IBM Watson and CoreML | Khoa Pham | Medium
• Digital Twin: Digital Twin: Bridging the physical-digital divide | IBM
• Graphical Tools for Modeling AI Components
• AI driven requirements management ...IBM Engineering Lifecycle Management (ELM) | IBM
• Quantum: Documentation | Xanadu This plugin provides three devices to work with PennyLane - the ProjectQ IBM device, the ProjectQ quantum simulator, and the ProjectQ classical simulator.
• Data Security and Privacy | IBM ...Privacy
• * Large Language Model (LLM) ... Natural Language Processing (NLP) ...Generation ... Classification ... Understanding ... Translation ... Tools & Services:
  • Speech to Text
  • Text to Speech
  • Watson Natural Language Understanding
  • Project Debater ...Debating
  • Cognos Analytics
• Case Studies...
  • Gaming: IBM Watson: The inside story of how the Jeopardy-winning supercomputer was born, and what it wants to do next | Jo Best - TechRepublic
  • Healthcare: Doctors Are Losing Faith in IBM Watson’s AI Doctor "They came in with marketing first, product second, and got everybody excited." | Dan Robitzski - Futurism
  • Pharmaceuticals: IBM halting sales of Watson AI tool for drug discovery amid sluggish growth | Casy Ross - STAT
  • Agriculture: Smarter Farms: Watson Decision Platform for Agriculture | IBM
• Fabric for Deep Learning (FfDL) way to run these deep-learning frameworks as a service on Kubernetes

IBM, like pretty much every tech giant these days, is betting big on AI. At its annual Think conference, the company announced IBM Watsonx, a new platform that delivers tools to build AI models and provide access to pretrained models for generating computer code, text and more. It’s a bit of a slap in the face to IBM’s back-office managers, who just recently were told that the company will pause hiring for roles it thinks could be replaced by AI in the coming years. Watsonx solves this, IBM asserts, by giving customers access to the toolset, infrastructure and consulting resources they need to create their own AI models or fine-tune and adapt available AI models on their own data. Using Watsonx.ai, which IBM describes in fluffy marketing language as an “enterprise studio for AI builders,” users can also validate and deploy models as well as monitor models post-deployment, ostensibly consolidating their various workflows. IBM intros a slew of new AI services, including generative models | Kyle Wiggers - TechCrunch