Maybe we should just skip the whole AGI thing?

And instead focus on something ..... useful?

Ruchir Puri thinks that's the way forward.

Ruchir, IBM Research & IBM Fellow, knows a thing or two about AI and how to make it useful.

For decades, he's helped develop the world's biggest AI breakthroughs, like IBM Watson.

Don't miss this convo if you're ready to make AI a bit more useful.

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Topics Covered in This Episode:

1. Allocation of AGI Focus vs. AUI (Artificial Useful Intelligence)
2. Ruchir Puri’s Background in Automation and AI at IBM
3. Discussion of AGI’s Unclear Definition and Historical Milestones (Deep Blue and Watson)
4. Breakdown of Intelligence into IQ, EQ, and RQ
5. Emphasis on AUI’s Practical Uses in Daily Life and Business
6. Evolution of Human Work Due to AI Advancements
7. IBM's Software Engineering Agent for Developer Productivity
8. Importance of Feedback Systems and Intelligent Agents
9. Steps for Business Leaders: Education, Strategy, and Skill Development

Timestamps:
00:00 Everyday AI Podcast & Newsletter

03:57 Debating AGI and Scaremongering

09:31 Evolution of Knowledge Work

10:47 Seamless Language Generation's Impact

13:57 AI's Growing Reasoning Abilities

19:18 "Software's Dominance and Developer Focus"

22:22 AI Solutions for Cybersecurity Challenges

26:40 ChatGPT Struggles with Math

29:32 Preparing Human Skills for AI's Rise

30:35 "Embrace and Strategize with AI"

34:00 "Subscribe for Daily AI Insights"

Keywords:
artificial intelligence, AI podcast, large language models, LLMs, artificial general intelligence, AGI, artificial useful intelligence, AUI, IBM, AI in business, AI strategy, AI implementation, machine learning, deep blue, jeopardy, Watson, Granite models, reasoning AI, agentic AI, AI in software development, AI tools, AI automation, generative AI, EQ, RQ, IQ, AI reasoning, AI technology, AI in careers, AI and human skills, AI in enterprises.

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One of the biggest downside 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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Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
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Topics Covered in This Episode:

1. IBM Think Conference 2025 Highlights
2. IBM's Watson AI Platform Updates
3. Enterprise Workflow with Watson x Orchestrate
4. Build Your Own AI Agents Features
5. Prebuilt Domain Agents Overview
6. New Agent Catalog with 50+ Agents
7. IBM and Salesforce AI Collaboration
8. 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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You prolly missed this HUGE AI drop.

Google quietly updated its NotebookLM behemoth to a thinking model and went FULL on multilingual.

Millions of people are instantly getting a AI assistant overnight, but probably don't even know.

So.... we're breaking it down.

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More on this Episode: Episode Page
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Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
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Topics Covered in This Episode:

1. NotebookLM's Major 2024 AI Tool Updates
2. Google's Gemini 2.5 Flash Multilingual Features
3. NotebookLM's Gemini Model Integration Details
4. AI Reasoning Models in NotebookLM Explained
5. AI Audio Overviews in 50+ Languages
6. Exploring NotebookLM's Mind Map Feature
7. Discover Sources Function in NotebookLM
8. Using Deep Research with NotebookLM
   
   

Timestamps:
00:00 "Google Notebook AI Updates"

06:27 ChatGPT-Controlled IBM Updates Demo

08:48 Notebook LM Gains Global Attention

13:18 Modeling Challenges and Learning Paths

14:01 "Gemini 2.5 Flash: Powerful & Affordable"

18:55 AI Struggle: Defining Chicago

21:49 "Notebook LM Source Integration Guide"

26:30 "Notebook LM: Studio and Mind Map"

29:47 Watson x AI Updates Overview

31:36 Mind Map: Chaos to Clarity

36:39 "Adding Sources: Manual vs. Auto"

39:02 Analyzing Watson x Updates Monthly

41:08 IBM Watson x Trends Overview

44:25 Evaluating John's Performance in Marketing

48:05 "Leveraging Data with AI"

Keywords:
NotebookLM, Google Gemini, AI update, Gemini 2.5 flash model, Multilingual audio overviews, Large Language Model, Deep research tools, Google AI Studio, AI-powered deep dives, Gemini 2025, OpenAI, ChatGPT, AI-driven mind maps, IBM Watson x, Enterprise governance, AI reasoning model, Language support, AI-powered conversation, Audio overview features, AI flash model, Multimodal AI, Data protection, AI Studio integration, AI capabilities, Gemini reasoning, Machine learning advancements, AI feature updates, Enterprise AI solutions, Google Gemini thinking model, AI-driven insights, Language model updates, AI-driven research.

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