One of the biggest downsides of consumer AI?
It doesn't have up-to-date access to your enterprise data.
Even as frontier labs work tirelessly to connect and integrate AI chatbots with your data, we're a far way off from that happening.
Unless you're using a platform like IBM's watsonx. And if you are using watsonx, your go-to enterprise AI platform just got a TON more powerful.
IBM just unveiled updates across its watson ecosystem at its Think 2025 conference. We've been here covering every step of it, so we're jumping into what you need to know.
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Topics Covered in This Episode:
- IBM Think Conference 2025 Highlights
- IBM's Watson AI Platform Updates
- Enterprise Workflow with Watson x Orchestrate
- Build Your Own AI Agents Features
- Prebuilt Domain Agents Overview
- New Agent Catalog with 50+ Agents
- IBM and Salesforce AI Collaboration
- IBM's Partnership with Oracle for AI
Timestamps:
00:00 Amazon's Advanced AI Coding Tool Kiro
03:52 AI Delivers Victim's Court Statement
07:12 "IBM Conference Insights and Updates"
12:52 Rise of Small Language Models
16:03 Watson x Orchestrate Overview
17:13 "Streamlined Internal Workflow Automation"
21:02 DIY AI Agents Revolution
23:52 AI Trust Through Transparent Reasoning
28:23 Prebuilt AI Agents Boost Efficiency
31:20 IBM Watson AI Traceability Insights
35:14 AI Platforms Crossover: Watson and Salesforce
41:10 IBM's AI Data Platform Enhancement
44:59 IBM Watson x Q&A Invitation
Keywords:
IBM Think 2025, AI updates, Enterprise work, IBM Watson, Generative AI, Enterprise organizations, IBM products, Watson AI platforms, AI news, Amazon Kiro, Code generation tool, AI agents, Technical design documents, OpenAI, Google's Gemini 2.5 Pro, Web app development, Large Language Models, Enterprise systems, Dynamic enterprise data, Enterprise-grade versions, Meta's Llama, Mistral models, Granate models, Small language models, IBM Watson x, AI agent creation, Build your own agents, Prebuilt domain agents, Salesforce collaboration, Oracle Cloud, Multi agent orchestration, Watson x data intelligence, Unstructured data, Open source models, Consumer grade GPU, Data governance, Code transformation, Semantic understanding, Hybrid cloud strategy.
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