You think using AI is your moat? Nope.

Just using LLMs isn't enough to power your company's AI success. But do you know the real fuel?

Having your data right is the ACTUAL key. So how do you do it? And how does your company's data strategy change with agentic AI?

Find out from Deloitte's US Chief Data Analytics Officer, Ashish Verma.

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Website: YourEverydayAI.com
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Topics Covered in This Episode:

1. Transformative Data Strategy for AI Success
2. Importance of Data Strategy in AI
3. Deloitte's Data Marketplace Approach
4. Multi-Agent Orchestration Challenges
5. Structured vs. Unstructured Data in AI
6. Synthetic Data and AI Transformation
7. Agentic AI and Data Labeling Essentials
8. AI's Impact on Business Value Chain
   
   

Timestamps:
00:00 "AI Success Requires Data Strategy"

05:27 Data Integration and Utilization Insights

10:31 Contextual Data Marketplace Evolution

13:06 Structuring Unstructured AI Insights

17:02 Agent Reasoning and Orchestration Insights

20:37 Data Annotation Challenges

23:39 AI's Impact on Industry Evolution

26:09 "Data Strategy: Begin with the End"

Keywords:
transformative data strategy, AI success, generative AI, non-technical people, data teams, data strategy, business leaders, companies, careers, unedited podcast, livestream, Deloitte, US chief data and analytics officer, data analytics, GenAI, data experiments, third-party data, synthetic data, data marketplace, data concierge, chief data officer, compute environment, deterministic, probabilistic, AI transformation, digital transformation, data minder, CFO, CMO, public domain data, business partner data, metadata, business glossary, technical catalog, agentic AI, multi-agent orchestration, agent registry, agent orchestration, open standard protocols, economic AI, digital transformation strategy, data advantages, structured data, unstructured data, hybrid data, PowerPoint, staffing optimization, resource management, query engine, relevance-ranked search, annotation, data regulation, governance, data procurement, data curation, data feeds, data platforms, information indexing, future predictions.

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Before you hit that new chat button in ChatGPT, Claude or Gemini....

You're already doing it wrong.

I've run 200+ live GenAI training sessions and have taught more than 11,000 business pros and this is one of the biggest mistakes.

Just blindly hitting that new chat button can end up killing any perceived productivity you think you're getting while using LLMs.

Instead, you need to know the 101s of Gemini Gem, GPTs and Projects.

This is one AI at Work Wednesdays you can't miss.

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Website: YourEverydayAI.com
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Topics Covered in This Episode:

1. Harnessing Custom GPTs for Efficiency
2. Google Gems vs. Custom GPTs Review
3. ChatGPT Projects: Features & Updates
4. Claude Projects Integration & Benefits
5. Effective AI Chatbot Usage Techniques
6. Leveraging AI for Business Growth
7. Deep Research in ChatGPT Projects
8. Google Apps Integration in Gems
   
   

Timestamps:
00:00 AI Chatbot Efficiency Tips

04:12 "Putting AI to Work Wednesdays"

08:39 "Optimizing ChatGPT Usage"

11:28 Similar Functions, Different Categories

15:41 Beyond Basic Folder Structures

16:25 ChatGPT Project Update

22:01 Email Archive and Albacross Software

24:34 Optimize AI with Contextual Data

27:49 "Improving Process Through Meta Analysis"

30:53 Data File Access Issue

33:27 File Handling Bug in New GPT

36:12 Continuous Improvement Encouragement

41:16 AI Selection Tool Website

43:34 Google Ecosystem AI Assistant

45:46 "Optimize AI Usage for Projects"


Keywords:
Custom GPTs, Google's gems, Claude's projects, OpenAI ChatGPT, AI chatbots, Large Language Models, AI systems, Google Workspace, productivity tools, GPT-3.5, GPT-4, AI updates, API actions, reasoning models, ChatGPT projects, AI assistant, file uploads, project management, AI integrations, Google Calendar, Gmail, Google Drive, context window, AI usage, AI-powered insights, Gemini 2.5 pro, Claude Opus, Claude Sonnet, AI consultation, ChatGPT Canvas, Claude artifacts, generative AI, AI strategy partner, AI brainstorming partner.

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If Midjourney is the first AI company to go down, will YOU be going down with them?

Disney and Universal launched a massive lawsuit against AI image-generating giant Midjourney, but there's a catch.

Have you been following Midjourney's Terms of Service the last few years?

We're breaking down what might happen if the Hollywood Studios win their lawsuit against Midjourney and what it could mean for the rest of us.

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Website: YourEverydayAI.com
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Topics Covered in This Episode:

1. Disney Sues Midjourney: Copyright Infringement
2. Hollywood vs. Midjourney: Legal Battle Insight
3. Midjourney's Image Generation: User Risks
4. AI Image Generators Under Legal Scrutiny
5. Midjourney's Terms Shift: User Liability
6. AI and Copyright: Visual vs. Text Differences
7. Potential Impact: Hollywood's AI Legal Precedent
8. Midjourney's Financial Growth Amid Lawsuit
   
   

Timestamps:
00:00 "Everyday AI with Jordan Wilson"

03:26 "Midjourney's Impact on AI Evolution"

09:21 Disney & NBC Sue Midjourney

13:30 Unauthorized Use of Copyrighted Material

15:58 "Viral Stormtrooper AI Content Rise"

20:32 AI and Copyright Challenges

23:57 "Midjourney Terms of Service Disclaimer"

26:16 Stay Informed with Our Show

29:20 Midjourney's Decline and Licensing Shift

31:15 Hollywood's War on AI?

Keywords:
Google Gemini, AI image generators, copyright infringement, Disney lawsuit, Universal lawsuit, Midjourney, AI video generation, copyright lawsuit, scraping the internet, copyrighted material, generative AI, AI entertainment category, New York Times vs OpenAI, Microsoft lawsuit, StabilityAI, AI sacrificial lamb, generative AI scene, AI creative industry, IP infringement, terms of service, Hollywood studios, Motion Picture Association, federal lawsuit, unauthorized training, infringement without prompts, technical filters, Midjourney explore page, Disney fan art, AI content creation, AI legal battles, transformative fair use, permanent injunction, model retraining, AI startups, generative AI impact.

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Meta is going straight superintelligent? OpenAI and Google are teaming up? And Microsoft might kill tutorials? The big AI dogs are at it again, making some head-turning moves in the AI space.

Don't get left behind.
Join us on Mondays for our AI News That Matters segment.

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Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn

Topics Covered in This Episode:

1. OpenAI & Google Cloud Partnership
2. Meta's $14B AI Superintelligence Bet
3. Disney & Universal vs. Midjourney Lawsuit
4. Apple's AI Translation Across Devices
5. OpenAI Expands GPT Projects & Features
6. Microsoft Updates Copilot Vision Tools
7. Amazon's AI Video Tool for Sellers
8. Meta AI App Privacy Controversy

Timestamps:
00:00 AI Insights: This Week's Headlines

04:28 ChatGPT Project Features Update

08:42 AI Wednesdays: Updates and Insights

11:57 Meta's $14B Superintelligence Investment

15:24 Meta's Acquisition of Scale AI

17:31 OpenAI Partners with Google Cloud

22:41 Apple Translation Integration Delayed

26:00 Third-Party AI to Improve Siri

30:43 Microsoft Copilot's Quiet Feature Updates

33:40 Amazon Enhances AI for Ads

37:34 Copyright Lawsuit: Midjourney vs. Studios

41:43 OpenAI O3 Pro: Accuracy Over Speed

45:54 AI News & Events Week Preview

Keywords:
OpenAI, Google Cloud, Meta, superintelligence, Scale AI, $14 billion investment, artificial superintelligence, Midjourney, Disney lawsuit, Universal lawsuit, AI copyright issues, Microsoft Copilot Vision, Copilot AI updates, real-time AI assistance, AI-powered video generator, Amazon video tools, chat GPT projects, GPTs, AI compute, Tensor Processing Units, regulatory scrutiny, AI market competition, OpenAI revenue, O3 Pro model, ChatGPT Pro, AI reasoning models, voice mode, Apple WWDC, AI translation, Edge AI, cloud infrastructure, Meta AI assistant, Apple AI struggles, Siri upgrade, AI legal battle, OpenAI and Google partnership, Meta's AI investment, $10 billion annual revenue, personal data privacy, Meta privacy concerns, AI model updates.

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AI is powerful. Buuuuuuuut also dangerously biased. Is your team ready to face this reality? Can you even spot when your AI is lying? We're talking real-world solutions with a bias-detection pro.

Tune in or risk your AI becoming more fiction than fact.

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More on this Episode: Episode Page
Join the discussion: Ask Jordan and Anatoly questions on AI bias

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Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn

Topics Covered in This Episode:
1. Understanding Cognitive Bias
2. Cognitive Bias in AI Models
3. Training Data and Model Development
4. Future of AI and Managing Bias

Timestamps:
02:00 Cognitive Bias Mitigation Platform
08:50 AI Enthusiasm vs. Cautionary Tales
12:48 AI Bias Stems from Human Bias
16:14 Influence of System Prompts on Bias
19:46 AI Information Parsing Challenges
20:56 AI Training and Labeling Challenges
24:05 "Achieve AI Success with Expertise"
28:23 Bias and Diversity in AI Models
31:33 Addressing Cognitive Bias in Data

Keywords:
Cognitive bias, AI failure, large language models, ChatGPT, Gemini, Copilot, Claude, bias reflection, AI news, AI sales tools, Microsoft, Salesforce, Microsoft 365 Copilot, Sales Agent, Sales Chat, Google, AI mode, Google One AI Premium, Gemini 2.0, OpenAI, AI agents, enterprise automation tools, confirmation bias, heuristic, framing bias, hallucination, training data, model perception, data labeling, reasoning models, agentic environments.

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Every enterprise is legit rushing to build AI agents.

But there's no instructions.

So, what do you do?
How do you make sure it works?
How do you track reliability and traceability?

We dive in and find out.

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Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Connect with Jordan on LinkedIn

Topics Covered in This Episode:

1. Google Gemini's Veo 3 Video Creation Tool
2. Trust & Reliability in AI Agents
3. Building Reliable AI Agents Guide
4. Agentic AI for Mission-Critical Tasks
5. Micro Agentic System Architecture Discussion
6. Nondeterministic Software Challenges for Enterprises
7. Galileo's Agent Leaderboard Overview
8. Multi-Agent Systems: Future Protocols

Timestamps:
00:00 "Building Reliable Agentic AI"

05:23 The Future of Autonomous AI Agents

08:43 Chatbots vs. Agents: Key Differences

10:48 "Galileo Drives Enterprise AI Adoption"

13:24 Utilizing AI in Regulated Industries

18:10 Test-Driven Development for Reliable Agents

22:07 Evolving AI Models and Tools

24:05 "Multi-Agent Systems Revolution"

27:40 Ensuring Reliability in Single Agents

Keywords:
Google Gemini, Agentic AI, reliable AI agents, mission-critical tasks, large language models, AI reliability platform, AI implementation, microservices, micro agents, ChuckGPT, AI observability, enterprise applications, nondeterministic software, multi-agentic systems, AI trust, AI authentication, AI communication, AI production, test-driven development, agent EVALS, Hugging Face space, tool calls, expert protocol, MCP protocol, Google A2A protocol, multi-agent systems, agent reliability, real-time prevention, CICD aspect, mission-critical agents, nondeterministic world, reliable software, Galileo, agent leaderboard, AI planning, AI execution, observability feedback, API calls, tool selection quality.

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Got old docs that need updating?

Yeah, yeah, yeah. You can do that with AI. But that's as basic as a Pumpkin Spice Latte in October.

What if, in a few minutes, you could not just bring life to your old docs with AI by making them interactive, but also ADD AI functionality into those docs?

We show you how it's done.

In our new segment -- Working Wednesdays with AI, we tackle practical use-cases that even non-technical people can pick up and run with.

Don't miss this one.

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Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn

Topics Covered in This Episode:

1. Transform Outdated Content with AI
2. AI Tools for Efficient Document Updating
3. Google Gemini Deep Research Capabilities
4. AI Studio's PDF Transcription Feature
5. Enhance Presentations with AI Studio
6. Interactive Presentations with Gemini Canvas
7. Embedding AI in Presentations
8. Google AI Studio's Developer Features

Timestamps:
00:00 Transforming Document Creation with AI

03:53 Rethinking AI in Content Management

09:29 Updating Small Language Models Presentation

11:55 AI Workflow Insights

14:30 Google Gemini Evaluates Web Data

17:27 Exploring Google AI Studio

20:54 Unscripted Presentation Update Strategy

25:17 "Deep Research and Presentation Updates"

29:23 "Redefining 'Small' in Language Models"

33:00 "2025: On-Device AI Revolution"

35:43 "AI-Enhanced Slide Summarization"

38:42 "Interactive Live AI Chat Widget"

41:34 "AI's Efficiency Explained"

43:41 "Everyday AI Practice Wednesdays"

Keywords:
Google Gemini, Gemini 2.5, AI Studio, Google AI Pro plan, Ultra plan, generative AI, convert outdated content, engagement gold, AI magic, interactive presentation, Commonplace AI tasks, Deep research, AI workflows, Google AI Studio capabilities, AI document transcription, Google Gemini Deep Research, interactive and slick interface, embedded AI capabilities, transcribe PDF presentation, factual keyword updates, targeted deep research, Google search grounding, transforming outdated documents, Canvas mode, integrate AI with presentations, automate mundane tasks, creative AI applications, AI-driven efficiency, enhancing content with AI, live AI capabilities, small language models, presentation refinement, knowledge worker efficiency, research improvements.

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Apple’s new AI paper says advanced AI thinking is an "illusion."

Is this a groundbreaking scientific discovery?

Or is it a cynical, weaponized piece of marketing dropped the weekend before WWDC to hide the fact that Apple is catastrophically behind in the AI race?

We read the paper so you don't have to.

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Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
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Topics Covered in This Episode:

1. Apple's Viral Illusion of Thinking Paper
2. Critique of Apple's AI Research Methodology
3. Apple's AI Deception and Flawed Logic
4. Strategic Corporate Propaganda in AI Research
5. Apple's $2 Trillion AI Market Loss
6. AI Reasoning Models Tool Use Restrictions
7. Tower of Hanai and Token Limitations
8. Apple Research's Industry Skepticism Strategy

Timestamps:
00:00 Daily AI Insights & Growth

04:32 "Evaluating AI: Illusion of Thinking"

08:30 "Apple's AI Papers: $2 Trillion Dilemma"

11:23 Apple's Missed $2 Trillion Opportunity

15:06 Apple's AI Oversight: Massive Blunder

18:55 PhD AI Research: Industry Influence

21:43 Apple Challenges AI Test Validity

26:15 AI Model Testing Complexity

29:16 "The Challenge of Complex Puzzles"

33:10 AI Testing Limits: A Designed Failure

36:45 Questioning Study Methodology

37:54 iPhone SOS Satellite Test Fails

41:29 Flawed Report Undermines Credibility

46:18 "Corporate Strategy Masked as Research"

50:25 Apple's Controversial Stance on Research

Keyword:
Apple's illusion of thinking, Apple's AI research paper, AI reasoning models, large reasoning models, strategic deception, cherry picked science, weaponized research, flawed logic, cherry picked testing, all or nothing grading, Apple's marketing tactics, Apple vs. Microsoft, Apple's AI failures, WWDC conference, Apple's intelligence, Ajax model, Apple's AI spending, Apple's competition, generative AI, Microsoft, Google, OpenAI, code usage restriction, token output limits, reasoning collapse, AI's reasoning limitations, Tower Of Hanai, reasoning lab, Claude 3.7 SONNET, DeepSeek, thinking models, chain of thought processing, corporate propaganda, premeditated media strike, fear, uncertainty, doubt, strategic media strike, data contamination, Apple's research credibility, research methodology, scientific integrity.

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