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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More on this Episode: Episode Page
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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-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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More on this Episode: Episode Page
Join the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.

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. 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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More on this Episode: Episode Page
Join the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.

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. 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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