Your CFO just lost sleep over a single missing penny... again.

Here's the thing about finance teams: they'll hunt for days to find ONE CENT that's off in their books. Because in accounting, even 98% accuracy = complete failure.

So when it comes to your company's finances and AI, there's a HUGE elephant in the room: trust.

Sage is changing the conversation around AI, trust and your books.

Sage is a global leader in cloud-based accounting, financial management, and business management solutions.

Sage CTO Aaron Harris joins the Everyday AI show to show us the new recipe for trust they're cooking up.

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Topics Covered in This Episode:

1. AI Trust Issues with Financial Accuracy
2. Sage's 7-Billion Parameter Model Training
3. Sage Copilot's Accounting AI Accuracy
4. Transparent Trust Labels in AI Usage
5. Financial Leaders' Trust in Sage's AI
6. Sage's AI Factory Safety Measures
7. Sage's Industry Collaboration for AI Accuracy
8. AI Implementation Strategy in Accounting

Timestamps:
00:00 AI Trust and Business Accuracy

03:08 CFO's Role in Trust Building

08:14 "Leveraging AI for Financial Growth"

12:23 "Enhancing AI Trust in Finance"

15:56 Early Machine Learning Infrastructure Pioneers

17:53 "Sage AI Factory Overview"

22:48 AI Transparency and Data Safety

24:12 "Trust Label Eases Customer Evaluations"

26:55 "Insights on AI and Industry"

Keywords:
AI trust, 98% accuracy, business leaders, Sage Future Conference, Atlanta, trust in AI, Sage Copilot, accounting software, global software company, Newcastle, North America headquarters, CFO, finance team, financial reports, forecast, budgets, credibility, financial accuracy, creative accounting, large language models, CHAT GPT, task-based AI, accounts payable automation, invoice reading, data science, AI development, neural models, conversational interface, GPT billions of predictions, generative AI, deterministic AI, billions of documents, fine-tuned models, accounting expertise, AICPA partnership, AI factory, automated machine learning, observability, model drift, hallucination detection, Sage AI factory, industry trust signals, safety mechanisms, customer by customer basis, Sage trust label, transparency labels, trustworthiness, ethical AI, responsible AI, AI safety, AI innovation, industry standards, problem-solving, financial trustworthiness.

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AI makes us all more productive.... so why isn't revenue soaring?

That's the AI Productivity Paradox.

↳ Does that mean GenAI doesn't work?
↳ Or do we all collectively stink at measuring GenAI ROI?
↳ Or are employees just pocketing that time savings?

Faisal Masud is a tech veteran with answers. He's the President of HP Digital Services, and he's going to help us solve the AI Productivity Paradox.

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Topics Covered in This Episode:

1. AI Productivity Paradox Explained
2. Hybrid Work's AI Integration Challenges
3. Generative AI Impact on Large Enterprises
4. Raising Productivity Expectations in AI Era
5. AI Tools vs. Traditional Employment Roles
6. Effective AI Policy Implementation in Enterprises
7. Building Internal AI Capabilities Strategy
8. Insights from AI-Based Easy Button History
   
   

Timestamps:
00:00 "Your Daily AI Insight Hub"

03:43 Workforce Experience Platform Overview

07:46 High Hiring Bar Enhances Productivity

10:31 Enterprise Productivity Lag with GenAI

15:53 AI Integration in Workflows

19:01 Raising Expectations in Tech Management

21:57 Hiring for Future-Ready Roles

25:23 Staples' Innovative "Easy Button" Strategy

27:22 Less is More for Success


Keywords:
AI productivity paradox, generative AI, productivity improvements, employee experience, HP Digital Services, hybrid work, employee productivity, generative AI wave, AI tools, workforce experience platform, AI PCs, employee sentiment data, hybrid work challenges, generative AI boom, overemployment, AI policy, large enterprises, business leaders, remote work, Microsoft Copilot, improved productivity, customer experience, agentic workflows, AI-enabled tasks, augmented roles, future of work, AI solutions, digital transformation, management challenges, augmented society, productivity metrics, less is more approach, efficient work processes.

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Stop what you're doing and read this 👇

↳ Claude just dropped something new that slipped under the radar.
↳ Other companies have been working on it for a bit as well.
↳ This is the future of knowledge work.
↳ So you should learn now.
↳ Join us to find out what it is.

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Website: YourEverydayAI.com
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Topics Covered in This Episode:

1. New Claude Feature: Deep Research Mode
2. Impact on Knowledge Work & Integration
3. Claude's Research and Integrations Rollout
4. Tool Use and AI Agentic Capabilities
5. Live Demo of Claude's Feature
6. Use Cases for Research Integrations
7. Integration with Google Workspace & Apps
8. Analyze Business Knowledge with Claude
   
   

Timestamps:
00:00 "Claude's Game-Changing New Feature"

04:42 "Claude's $20 Plan Limitations"

06:28 Claude's Deep Research Tool Expansion

10:41 "Gemini 2.5 Pro Update Preview"

12:42 "New Integrations in Claude"

17:48 "Creating AI Agent Mashups"

20:48 Deep Research Progress Update

25:51 Inefficiency of Manual Data Retrieval

28:08 "Exciting MCP and Zapier Integration"

31:27 "Plan and Pilot AI Initiatives"

32:59 Interactive Learning and Feedback

39:20 Checking AI-Generated Podcast Quotes

42:29 Initial Impressions on AI Drafting

44:08 Rethinking Work Through Interviews

Keywords:
Anthropic Claude, Claude feature, knowledge work, AI tool, software engineers, deep research mode, base pro plan, $20 a month plan, new Claude feature, AI integration, AI tool use, live context, agentic tool use, Google Drive, Google Calendar, Gmail, Zapier integration, MCP mode, model context protocol, generative AI, AI work Wednesdays, large language model, AI updates, deep research capabilities, tool usability, OpenAI, Gemini, Microsoft Copilot, deep research services, contextual business knowledge, AI-driven research, AI-powered insights, Claude Pro plan, data integration, transforming knowledge work, AI research tools, AI systems integration, business intelligence, AI agent capabilities, Claude updates, data analysis, information extraction, AI collaboration tools, Anthropic integration, AI-driven innovation, AI work efficiency, information processing.

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Is AI gonna wipe out 50% of entry-level jobs?

Anthropic's CEO says that's the case when it comes to AI jobs disruption and entry-level, white-collar jobs.

So..... is that for real?

Or just an AI CEO trying to pump his company's newly released tools?

Join us to find out!

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Website: YourEverydayAI.com
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Topics Covered in This Episode:

1. Anthropic CEO's AI Job Loss Warning
2. AI Impact on White Collar Roles
3. AI Companies' Job Displacement Tax Proposal
4. Anthropic's Claude 4 Model Discussion
5. Understanding Agentic AI and Job Impact
6. Wall Street's AI Buzzword Influence
7. Media's Role in AI Job Apocalypse
8. Government's AI Regulation Challenges
   
   

Timestamps:
00:00 "Hot Take Tuesday: Job Loss & AI"

04:31 "Future of Entry-Level White Collar Jobs"

08:20 AI-Induced Job Displacement Crisis

12:01 AI's Workforce Impact: Disruption Ahead

13:22 AI and Future of Desk Jobs

18:19 Future of Full-Time Jobs Uncertain

21:48 Claude Four: Expectations vs. Reality

25:28 AI Disruption Hits White-Collar Jobs

30:07 Wall Street's AI Over Employees

31:10 "Corporate Greed and AI Investment"

37:40 Debating AI Policy Balance

38:42 AI’s Impact on Jobs and Society

43:24 Media Hype Over AI Job Fears

48:25 AI Revolutionizing Business Dynamics

49:30 AI Job Impact: Leaders' Responsibility

Keywords:
Dario Modi, Anthropic CEO, AI job loss, Entry level white collar jobs, AI companies taxed, AI systems impact, Government regulation and AI, AI technology producers, AI job displacement crisis, AI-driven efficiency improvements, AI reshaping industry dynamics, AI job apocalypse, AI unemployment rate prediction, Knowledge worker disruption, Large language models, AI autonomy, AI reasoning, Agentic AI systems, AI-driven transformations, AI-model reasoning, AI-augmented jobs, AI automation, AI workforce reduction, Corporate greed and AI, AI regulatory policies, AI token tax, AI and economic impact, AI and workforce change, AI driven societal change.

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Perplexity is pivoting hard... and we like it.

The New York Times (even amidst its fight with Big AI) just partnered with a big AI company.

And Google Gemini just got a lot better for workspace users, and you won't have to lift a finger.

AI got a lot more useful this week.
Join us to find out how it's changing how we work.

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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. Perplexity's Agentic Mode Launch Overview
2. New Google Gemini Updates for Workspace
3. Perplexity Labs' Reporting Tools Explained
4. Robot Launch: Hugging Face Ricci Mini
5. AI Missteps in Government Healthcare Report
6. Amazon & New York Times AI Partnership
7. Eleven Labs' Conversational AI Update
8. Anthropic CEO on AI Job Displacement

Timestamps:
00:00 "Perplexity Labs: AI-Powered Analytics Revolution"

06:35 "AI Slide Creation Breakthrough"

10:56 "Affordable Open-Source Robot for Developers"

14:24 Admin Control on Workplace Summaries

15:11 "Google Drive's New AI Summarization"

20:56 "AI Strategy and Growth Solutions"

24:00 NYT Sues OpenAI and Microsoft

26:12 "Survival Strategies for Media Outlets"

30:41 Black Forest Labs Challenges AI Giants

35:07 AI Revolution in Call Centers

36:01 Advanced Multilingual Conversational AI System

39:33 Apple Shifts Focus Away from AI

43:07 Apple's AI Projects and Challenges

48:02 Tech Innovations: Robotics, AI, Workspace Updates

49:17 AI Job Threats Highlighted

Keywords:
Perplexity Labs, Perplexity agentic mode, conversational search engine, AI-driven research, Perplexity Labs Pro, Mac and Windows apps, customizable dashboards, deep research mode, Claude artifacts, Google Gemini, email summary cards, AI-powered email summaries, Gmail AI update, Google Drive video summarization, Google Workspace, US Department of Health and Human Services, generative AI citations, The New York Times, Amazon AI deal, Alexa update, AI foundation models, Eleven Labs, conversational AI 2.0, enterprise voice agent, AI turn-taking model, multilingual conversations, Anthropic CEO, AI job displacement, white collar jobs, Apple WWDC conference, Apple AI gap year, Black Forest Labs, Flux one context, generative AI image editing, financial predictions

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We only talk about the upside of agentic AI.

But why don't we talk about the risks?

As AI agents grow exponentially more capable, so too does the likelihood of something going wrong.

So how can we take advantage of agentic AI while also addressing the risks head-on?

Join us to learn from a global leader on Responsible AI.

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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. Responsible AI: Evolution and Challenges
2. Agentic AI's Ethical Implications
3. Multi-Agentic AI Responsibility Shift
4. Microsoft’s AI Governance Strategies
5. Testing Multi-Agentic Risks and Patterns
6. Agentic AI: Future Workforce Skills
7. Observability in Multi-Agentic Systems
8. Three Risk Categories in AI Implementation

Timestamps:
00:00 Evolving Challenges in Responsible AI

05:50 Agent Technology: Benefits and Risks

09:27 Complex System Governance and Observability

12:26 AI Monitoring and Human Intervention

15:14 Essential Testing for Trust Building

19:43 Securing AI Agents with Entra

22:06 Exploring Human-AI Interface Innovation

26:06 AI Workforce Integration Challenges

28:22 AI's Transformative Impact on Jobs

Keywords:
Agentic AI, multi agentic AI, responsible AI, generative AI, Microsoft Build conference, AI governance, AI ethics, AI systems, AI risk, AI mitigation, AI tools, human in the loop, Foundry observability, AI testing, system security, AI monitoring, user intent, AI capability, prompt injection, Copilot, AI orchestration, AI deployment, system governance, Entra agent ID, AI education, AI upskilling, AI workforce integration, systemic risk, AI misuse, AI malfunctions, AI systemic risk, AI-powered solutions, AI development, AI innovation, AI technology, AI security measures.

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We're so quick to give AI access to see the world around us, but what are the dangers? And what are some powers that you're not aware of? We'll be sharing both as Michael Tiffany, Co-Founder and CEO of Fulcra Dynamics, joins us to discuss.

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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. Power and danger of letting AI view your data
2. Quick emergence of live AI technology
3. Kill switch and intelligent data routing
4. Local compute and orchestration requirements

Timestamps:
00:00 AI Advances: Power and Privacy Concerns
05:34 Fulcra: Pioneers in Streaming Data Storage
08:09 "Hacker Cyborgs and AI Privacy"
12:08 AI Surveillance and Privacy Concerns
15:02 "Experimenting with Custom AI Assistant"
16:40 Calendar and Location Data Insights
21:46 "Smart Local Monitoring Strategies"
24:09 Miniature AI Models Revolutionize Technology
28:36 Experiment with Personal AI Control

Keywords:
Generative AI, AI technology, Google Gemini Live, Gemini's AI, AI agent, Microsoft Copilot Vision, personal data, privacy, data security, artificial general intelligence, superintelligence, live technology, AI observability, AI assistance, AI models, multimodal models, world models, local inference, edge AI, small language models, Frontier models, cloud-based models, Enterprise software, on-premise software, Cloud Software, AI Orchestration, Local Compute, Hardware, Biohacking, Personal Data Control

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Claude 4: Game-changer or just more AI noise?

Anthropic's new Opus 4 and Sonnet 4 models are officially out and crushing coding benchmarks like breakfast cereal.

They're touting big coding gains, fresh tools, and smarter AI agentic capabilities.

Need to know what's actually up with Claude 4, minus the marketing fluff? Join us as we dive in.

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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. Claude 4 Opus and SONNET Launch
2. Anthropic Developer Conference Highlights
3. Anthropic's AI Model Naming Changes
4. Claude 4's Hybrid Reasoning Explained
5. Benchmark Scores for Claude 4 Models
6. Tool Integration and Long Tasks in Claude
7. Coding Excellence in Opus and SONNET 4
8. Ethical Risks in Claude 4 Testing

Timestamps:
00:00 "Anthropic's New AI Models Revealed"

03:46 Claude Model Naming Update

07:43 Claude 4: Extended Task Capabilities

10:55 "Partner with AI Experts"

15:43 Software Benchmark: Opus & SONNET Lead

16:45 INTROPIC Leads in Coding AI

21:27 Versatile Use of Claude Models

23:13 Claude Four's New Features & Limitations

28:23 AI Pricing and Performance Disappointment

32:21 Opus Four: AI Risk Concerns

35:14 AI Model's Extreme Response Tactics

36:40 AI Model Misbehavior Concerns

42:51 Pre-Release Testing for Safety

Keywords:
Claude 4, Anthropic, AI model update, Opus 4, SONNET 4, Large Language Model, Hybrid reasoning, Software engineering, Coding precision, Tool integration, Web search, Long running tasks, Coherence, Claude Code, API pricing, Swebench, Thinking mode, Memory files, Context window, Agentic systems, Deceptive blackmail behavior, Ethical risks, Testing scenarios, MCP connector, Coding excellence, Developer conference, Rate limits, Opus pricing, SONNET pricing, Claude Haiku, Tool execution, API side, Artificial analysis intelligence index, Multimodal, Extended thinking, Formative feedback, Text generation, Reasoning process, Lecture summary.

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