Everyone knows AI needs your data to truly work.

But, what about your company's reasoning? 🤔

Buried beneath the modes and models, features and agents is something so fundamental that we almost always overlook it: the friggin gold that is your company's conversations.

It's your expertise. Your secret sauce. Your decision making. Your competitive advantage.

This is what you do about it.

Using AI to turn conversations into revenue: A leader’s guide -- An Everyday AI chat with Dialpad's Jim Palmer and Jordan Wilson

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

1. AI-Powered Communications Platforms Explained
2. Enterprise Data Security in AI Sandboxes
3. Turning Business Conversations into AI Insights
4. Large Language Models for Conversation Analysis
5. Leveraging Unstructured Meeting Data with AI
6. Real-Time Sentiment Analysis for Revenue Growth
7. AI Automation in Contact Centers and Sales
8. Evaluating and Fine-Tuning Language Models Safely
9. Responsible AI Automation and Red Teaming Practices

Timestamps:
00:00 "Turning Conversations into Revenue"

03:31 "AI-Powered Business Communication Platform"

06:16 AI's Expanding Role Everywhere

09:51 Secure Communication and Data Insights

15:46 "AI Innovation and Collaboration"

16:56 AI Hackathon Accelerates Innovation

21:56 Optimizing AI for Accuracy

23:17 AI for Insights and Connections

27:34 "Evaluating and Building AI Trust"

31:46 Preparing for Automation in Business

34:31 "Aria: Model-Agnostic AI Solution"

Keywords:
AI-powered communications platform, Dialpad, large language models, business automation, customer conversations, conversation analytics, structured data, unstructured data, conversational AI, voice data, meeting insights, sales optimization,

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What happens when the web is all bots and AI? 🤖

And more importantly, what happens to your company's online presence when AI search completely takes over?

Big questions.

So we're bringing in the big gun for the answers.

Michael Walrath is the Chairman and CEO Yext Inc, a global leader in brand management and search experience.

Michael will dish the essentials on how brands can not just stay relevant in the post-human web, but how they can thrive and get ahead.

Don't miss this one.

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Website: YourEverydayAI.com
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Topics Covered in This Episode:

1. Post-Human Web SEO Strategies
2. Structured Data for AI Discoverability
3. Large Language Models Disrupting Search
4. Answer Engine vs Traditional Search SEO
5. Intent-Based Search and Brand Visibility
6. Memory in AI Answers Engines Explained
7. Granular Content Optimization for AI
8. Blocking AI Crawlers: Brand Strategy Debate
9. AI-Generated Ads Impact on SEM & SEO
10. Authoritative Brand Data for Visibility

Timestamps:
00:00 "Brands in the AI Era"

05:42 "Future of Search Engines"

08:19 "Generative AI vs SEO Strategy"

09:37 AI Personalization for Better Answers

12:41 "AI-Friendly Data for Brands"

15:56 "Empowering SEO with Seamless Tools"

20:29 "Future of AI-Powered Advertising"

24:48 "AI Knowledge: Useful but Creepy"

26:08 AI Impact on Ad-Supported Content

29:32 "Reddit Strategy Isn't Necessary"

Keywords:
Post-human web, brand visibility, generative AI, large language models, answer engines, structured data, organic SEO, search engine optimization, content creation, reputation management, social media management, digital transformation, data distribution, authoritative business data, machine learning, AI-powered search, fragmented discovery, natural language processing, context and memory, answer engine optimization, AI visibility, SEO strategy,

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You probably missed these NotebookLM updates. 🤫

While AI World has been focused on bubbles popping and data centers, Google has kinda quietly rolled out a friggin cornucopia of updates to its Gemini-powered NotebookLM.

Real talk: NotebookLM is more than a personal productivity tool. It's now an essential AI secret weapon for growing teams.

Join us as we tell you how and highlight 8 new features you've gotta know. Let' put AI to work on Wednesdays!

NotebookLM: 8 New Updates for November that you should be using -- An Everyday AI Chat With Jordan Wilson

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

1. NotebookLM Eight November Updates Overview
2. Custom Prompt Viewing for Deep Dive Reports
3. Chat History Defaults On in NotebookLM
4. Goal-Based Chat Customization for Users
5. Enhanced Privacy Controls in Shared Notebooks
6. Google Sheets Import in NotebookLM
7. Gemini 1,000,000 Token Context Window Integration
8. Mobile App Quizzes and Flashcards Release
9. Nano Banana AI Visuals in Video Overviews
10. Practical Use Cases for New NotebookLM Features

Timestamps:
00:00 "AI Updates and Use Cases"

05:09 "AI Wednesday: Notebook LM Updates"

07:14 "AI Updates and Features"

11:12 "Notebook LM: Grounded AI Tool"

16:28 "Access and Reuse Custom Prompts"

18:09 "Unified AI Collaboration Platform"

20:47 "Nano Banana: Google's AI Tool"

25:47 Notebook LM's Surprising Evolution

27:53 "Spreadsheet Import Size Limitation"

31:00 Mobile Learning Upgrade Boosts Productivity

34:06 "Nano Banana's Contextual Brilliance"

37:32 Import Data for AI Roleplay

41:45 "Keep Everyday AI Alive"

43:23 Next Time

Keywords:
notebook lm, NotebookLM updates, Google NotebookLM, Gemini 2.5, AI grounding, custom prompt, deep dive reports, chat history, goal based customization, privacy controls, Google Sheets integration, context window, 1,000,000 token context, mobile app updates,

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Apple is paying Google $1 billion because it failed at AI. 🤯

According to reports, Apple's powering its next generation of Siri with a custom version of Google's Gemini model.

So... how did Apple fail so bad and why is Google bailing them out?

And ultimately... what does this mean for Apple's users worldwide?

Come for those answers, stay for the #HotTakeTuesday

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


Topics Covered in This Episode:

1. Apple's $1 Billion Gemini AI Deal
2. Siri's Internal Failure Rate Analysis
3. Apple's Generative AI Development Struggles
4. Google Gemini Integration for Siri Explained
5. Data and Privacy Challenges in Apple AI
6. Market Cap Impact from Apple’s AI Lag
7. Apple’s Talent Drain in AI Engineering
8. Mixture of Experts Model for Siri’s Upgrade
9. Complex Multi-App Commands with Gemini-Powered Siri
10. Future of Apple’s Own Trillion-Parameter Model

Timestamps:
00:00 "AI Innovation Needs Safe Sandbox"

03:19 Apple's Siri AI Failure

09:04 "Apple’s AI Strategy with Gemini"

12:48 Apple's Market Cap Shift Explained

15:41 Apple's Siri: Tech Debt Struggles

20:06 Apple-Google Rivalry Over Data Privacy

21:48 "Apple's Cost-Effective AI Strategy"

24:33 Future AI-Empowered Data Organization

30:12 Apple Bailout & Siri’s AI Needs

31:19 "Model-Agnostic AI Solution"

Keywords:
Apple, Google Gemini, Siri, $1 billion bailout, AI partnership, privacy first company, generative AI failure, Apple Intelligence, large language model, 1.2 trillion parameter model, licensing agreement, Siri upgrade, AI brain, ChatGPT integration, OpenAI, Anthropic, talent drain, data gap, market cap, arrogance in AI development, private cloud compute, stateless compute, mixture of experts, sparse activation, cost management, reasoning models, multi-step commands, mobile assistant, voice agents,

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Could a model named…. Kimi K2 Thinking wreak havoc on the U.S. AI scene? 🤔

And why is Apple gonna pay Google a billion dollars a year? 🤝

And is OpenAI suggesting a government insurance if AI fails? 🛟

So many AI questions. We’ve got your AI answers.

On Mondays, Everyday AI brings you the AI News That Matters.

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


Topics Covered in This Episode:

1. Apple-Google Gemini AI Siri Partnership
2. OpenAI Federal Financing Backstop Controversy
3. Moonshot Kimmy K2 Open Source LLM Benchmarks
4. Anthropic's $350 Billion Valuation Surge
5. Microsoft Launches Humanist Superintelligence Team
6. IBM Announces AI-Driven Job Cuts
7. Meta's $600B AI Infrastructure Investment
8. Google's Project Sun Catcher: Space Data Centers
9. OpenAI $38B AWS Cloud Partnership
10. Google Gemini Deep Research Across Workspace Apps

Timestamps:
00:00 Apple Chooses Google Gemini AI

06:12 "AI Shorting Sparks Market Stir"

08:44 Google Deepens AI Race Investments

12:33 "AI Model Performance Concerns"

16:38 "Microsoft’s AGI Push Begins"

18:25 "Humanist Superintelligence vs AI Autonomy"

21:08 IBM Cuts Jobs for AI Focus

25:57 Meta's AI Rumors: Open vs Closed

29:04 Google Stress-Tests Space TPU Chips

31:52 "OpenAI Clarifies: No Federal Backstop"

35:10 "OpenAI's Mixed Messaging"

38:17 AI Updates: GPT-5, Gemini, Research

41:12 Everyday AI: Subscribe & Explore

Keywords:
Apple and Google AI partnership, Gemini AI, Siri AI update, billion dollar AI deal, Anthropic AI, OpenAI federal backing, AI government bailout, Michael Burry AI short, Nvidia stock drop, Palantir stock, US Department of Justice antitrust, Tim Cook AI acquisition, AI production risks, Aria AI sandbox, Microsoft superintelligence, Mustafa Suleiman, humanist superintelligence, frontier AI models, recursive self-improvement,

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There's like a bajillion AI agents. 🤖

But most of the REAL agents fall into these 7 categories that you need to understand.

Oh.... and don't worry. We'll break down the top 10 AI Agents for business growth.

Join us as we go over Agents 101, the 7 categories of AI agents, and the 10 you should be paying most attention to.

Ep 649: The 7 Types of AI Agents and the 10 Top Agents for Businesses to Grow

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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. AI Agent Market Growth Overview
2. Defining AI Agents vs. Chatbots
3. AI Agents vs. Large Language Models
4. Seven Types of AI Agent Categories
5. AI Agent Adoption in Enterprise Workflows
6. Risks and Pitfalls of AI Agent Usage
7. Top 10 AI Agents for Business Growth
8. Key Features of Leading AI Agents
9. Selecting the Right AI Agent Strategy
10. Five-Day Plan for AI Agent Implementation

Timestamps:
00:00 "Agentic AI: Hype vs Reality"

04:19 "AI Agents Need Human Oversight"

07:26 "AI Agents Embedded in Workflows"

11:23 "AI Agents vs Agentic Browsers"

15:14 "Generative AI Expertise & Training"

19:32 "AI Costs: Endless Loops Warning"

20:49 "ChatGPT Agent Mode Overview"

24:19 "Microsoft Copilot Permissions Challenges"

29:20 "Agent Force: Salesforce Automation Tool"

31:19 "Mastering AI Tools for Leaders"

35:11 "Replit’s AI: Empowering Non-Tech Users"

36:35 Zapier Agents Automate Workflows

41:13 "Robust Cloud Autonomy Explained"

45:51 Safe AI Implementation Guidelines

46:26 Human Errors and AI Mistakes

49:59 AI Agents & Enterprise Future

Keywords:
AI agent, AI agents, agentic AI, agentic AI market, autonomous AI agent, enterprise AI agent, business AI agent, generative AI, agent washing, agent mode, ChatGPT agent mode, Microsoft Copilot Studio, Claude Code, Anthropic Claude, Google Project Mariner, Project Astra, AWS Bedrock agents, large language model, reasoning models, sub agents, coding models, software engineering agents, enterprise workflow automators, specialized research agents, analysis agents, foundational platforms, agentic browser, conversational companion agents, UI automation agents, web automation agents, observability, traceability, permissions, approval workflows,

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Is it AI failure or AI success? 🤔

We see massive trillion dollar valuations for AI companies, yet constant ‘AI bubble’ bust stories.

And we see stories playing out in the media that say AI is both an enterprise boon and a complete waste of time.

Welp…. A new study from Wharton will hopefully put this to rest.

Among other things, it shows that 74% of companies see a positive ROI on AI and also lays out the roadmap to debunk all the naysayers along the way.

Join us as we dive in.

Ep 648: How 74% of Enterprises Get Real AI ROI While Pundits See Failure

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

1. Wharton Three-Year GenAI ROI Study
2. 74% Enterprises Achieve GenAI ROI
3. Enterprise AI Success vs. Failure Narrative
4. MIT Viral Study Debunked (95% Failure)
5. Productive AI Focus: Boring Tasks Win
6. Enterprise AI Training Crisis Analysis
7. Executive vs. Manager AI Optimism Gap
8. Skills Paradox: AI Use vs. Atrophy

Timestamps:
00:00 AI: Success or Failure?

03:41 "ROI Debate Over Generative AI"

08:27 "Grow Business with Generative AI"

12:19 "Study's Fatal Flaw Exposed"

16:28 AI Deployment Challenges and Insights

19:11 "Training Crisis in AI Adoption"

22:01 "Build an AI-Focused Team"

25:39 "AI's Impact on Human Skills"

29:00 "AI Adoption: Are You Ahead?"

31:43 "AI Era: Human Transformation Rules"

34:52 "AI Evaluation & ROI Insights"

37:07 "Subscribe, Share, Support Everyday AI"

Keywords:
AI ROI, enterprise AI success, generative AI, return on investment, Wharton study, 74% of enterprises, AI failure narrative, viral MIT study, 95% AI pilots fail, enterprise transformation, productivity gains, large language models, AI agents, back office automation, executive alignment, moonshot AI projects, specialized killer apps, legal contract review, HR recruitment, agentic AI, algorithmic trading, DeepSeek saga, OpenAI business customers, Nvidia valuation, technology adoption, formal ROI metrics, business linked metrics, top down AI implementation, training crisis, investing in people over technology, human potential, skills paradox, skill atrophy,

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Three words to Google Gemini and you can kiss your PowerPoint woes goodbye. 👋

Google Gemini quietly rolled out a kinda secret feature that TBH was deserving of a keynote.

So how do you create slides in Google Gemini?

And what are the pros and the limitations?

Tune in as we put AI to Work on Wednesdays.

The New Secret Google Gemini Feature that Quietly Kills Powerpoint slides -- An Everyday AI Chat with Jordan Wilson

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


Topics Covered in This Episode:

1. Google Gemini Canvas Mode Presentation Feature
2. Create a Presentation Command for Slides
3. Exporting Gemini Canvas to Google Slides
4. Gemini’s Automated Slide Design Capabilities
5. Comparing Gemini Canvas vs. Google Slides AI
6. Advanced Gemini Canvas Iteration Tips
7. Integrating Context Data in Gemini Presentations
8. Limitations of Gemini Slide and Image Uploads

Timestamps:
00:00 AI Revolutionizing Slide Creation

04:13 "AI Feature Demo Wednesdays"

07:40 "Gemini Canvas Live Demo"

09:52 OpenAI's Ownership Transition Explained

13:57 "Google Gemini vs Slides"

18:17 "GenAI Strategy & Training"

20:00 "Google Gemini's Select & Ask Guide"

23:21 "Slide Branding Made Consistent"

29:25 "AI Tools for Business Plans"

30:10 "Google Gemini for Presentations"

Keywords:
Google Gemini, Gemini Canvas, AI slides, AI-powered presentations, create a presentation, Gemini slides feature, Google Slides export, PowerPoint alternative, AI presentation generator, generative AI, slide automation, presentation design with AI, Gemini Canvas mode, Google Workspace integration, Chart creation in Gemini, Visual presentations, AI context window, Cap table visualization, Timeline slides, Interactive websites with Gemini, Canvas select and ask, Export to PDF, Presentation branding with AI, Slide customization

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