Podcasts about ai solutions

In this weeks episode, the Mayor and Toby discuss the intersection of technology and insurance, focusing on the challenges and opportunities within the industry. They explore the role of AI in transforming insurance processes, the importance of understanding client needs, and the potential for technology to attract new talent to the field. Toby shares insights from his journey in the insurance and tech sectors, highlighting the innovative solutions his company, OneFort, is developing to streamline operations and enhance client relationships.TakeawaysAI is transforming the insurance industry by automating processes.Understanding client needs is crucial for effective insurance solutions.Technology can attract new talent to the insurance field.OneFort focuses on independent insurance agents to maximize impact.Manual processes in insurance are time-consuming and need automation.Cross-selling and upselling are key strategies for insurance growth.AI can help identify underinsured clients and recommend solutions.The insurance industry faces a talent shortage that technology can address.OneFort integrates with existing tools to streamline insurance workflows.Toby emphasizes the importance of continuous innovation in tech solutions.Chapters00:00:02 Introduction and Greetings00:00:05 Discussing Upcoming Events00:00:20 The Role of Magic in Trade Shows00:03:23 Toby's Journey in Insurance and Tech00:07:55 Miscommunication in Insurance and Tech00:16:21  Focus on AI for producers, and CSR's 00:29:01  AI Solutions for Insurance00:32:04 Cross-Selling and Upselling with AI00:39:32 Future Plans and Industry GrowthSponsors:Smart Choice The Fastest growing agency network in country! Hands DownCanopy Connect - Your 1 click solution to getting the dec pages you need to quote your prospects

What if technology rooted in the arts could save lives—and AI could help rebuild a more functional society? In this inspiring and insightful episode, entrepreneur and creative visionary Kyiana Williams shares her powerful journey from the arts to civic technology. She and Rob discuss how platforms like her companies, e.e.r.s. and Entertwine, are bridging the gap between creativity and employment and between everyday citizens need for better emergency response in crises and better government communication on a daily basis. They explore the future of AI, the importance of accessibility and products designed for everyone, as well as how technology can empower communities in times of crisis. Packed with wisdom for aspiring entrepreneurs, creatives, and policy makers, this conversation is a must-listen for anyone who wants to shape a more resilient, connected world.Feel free to follow and engage with KYIANA here:- LinkedIn: https://www.linkedin.com/in/kyiana-williams/- Instagram: https://www.instagram.com/kywi_the_fruit/- Website: https://www.entertwine.us/- Website: https://eers.us/#homeWe're so grateful to you, our growing audience of entrepreneurs, investors and community leaders interested in the human stories of the Entrepreneurial Thinkers behind entrepreneurial economies worldwide.As always we hope you enjoy each episode and Like, Follow, Subscribe or share with your friends. You can find our shows here, and our new Video Podcast, at “Entrepreneurial Thinkers” channel on YouTube. Plug in, relax and enjoy inspiring, educational and empowering conversations between Rob and our guests.¡Cheers y gracias!,Entrepreneurial Thinkers Team.Chapters00:00 Introduction and Personal Connections05:02 The Role of AI in Society08:05 Entertainment and Technology: A Dual Perspective13:52 The Importance of Creative Accessibility19:38 Civic Engagement and Technology25:36 The Value of Art in Society27:34 The Evolution of the Entertainment Industry32:25 The Future of Film and Television38:22 Empowering Change Through Information40:37 Introducing Ears: A New Resource for Communities47:36 The Role of Technology in Emergency Situations48:12 AI and Information Accessibility49:22 Enhancing Communication During Crises50:36 The Importance of Human Oversight in AI52:04 Personalized Information Delivery Systems54:02 Scalability of AI Solutions in Government56:17 Language Accessibility in Emergency Communications58:23 Business Opportunities for Civic Tech01:00:27 Specialized AI Agents for Different Departments01:02:20 The Human Element in Government Services01:05:23 Embedding Technology in Government Operations01:07:42 The Need for Efficient Communication Systems01:10:07 Conclusion: Bridging the Gap in Civic Engagement01:10:48 Empowering Communities Through Technology01:13:42 Optimism Amidst Uncertainty01:14:08 The Power of Collective Action01:22:07 Advice for Multi-Project Entrepreneurs

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Unlocking the Power of Generative AI Agents: Insights from Ajay Malik, CEO of StudioXGenerative AI is revolutionizing the way businesses operate, moving beyond basic chatbots to autonomous AI agents that can handle complex workflows. In this episode, Josh Elledge interviews Ajay Malik, CEO and founder of StudioX, about how agent-based AI is transforming enterprise efficiency, automating repetitive tasks, and enabling smarter decision-making. Ajay shares practical strategies for adopting AI, leveraging no-code tools, and integrating intelligent agents into business operations for measurable results.How Agent AI is Changing BusinessMost businesses are familiar with traditional AI tools like ChatGPT, which respond to prompts and generate content. Agent AI, however, goes further by acting autonomously, performing goal-oriented tasks, monitoring multiple systems, and making informed decisions without constant human input. This shift enables businesses to scale operations, reduce errors, and free teams to focus on higher-value work.No-code AI platforms like StudioX are making this technology accessible to anyone. Drag-and-drop workflow builders, pre-built templates, and seamless integrations with tools such as CRM, email, and ERP allow companies to implement AI without programming knowledge. Businesses can prototype, deploy, and optimize AI agents quickly, saving time and increasing efficiency.Real-world applications are already transforming industries. From oil & gas operations and logistics to customer service and email management, agent AI can monitor data, triage tasks, and take autonomous action. Ajay emphasizes starting small with high-impact workflows, iterating fast, and scaling gradually to maximize value and adoption across organizations.About Ajay MalikAjay Malik is the CEO and founder of StudioX and a former Google executive, with deep expertise in AI, enterprise technology, and digital automation. He focuses on practical applications of agent AI, helping businesses implement autonomous digital assistants that improve efficiency, decision-making, and growth.About StudioXStudioX is a no-code AI platform that empowers businesses to build, deploy, and manage autonomous AI agents without programming knowledge. The platform provides drag-and-drop workflow builders, pre-built templates, and integrations with existing tools, enabling companies to automate tasks, streamline operations, and scale efficiently.Links Mentioned in this EpisodeStudioXAjay Malik on LinkedInKey Episode HighlightsDifference between traditional chatbots and autonomous agent AIHow agent AI enables proactive decision-making and goal-oriented workflowsNo-code AI platforms make automation accessible without programmingReal-world applications in oil & gas, logistics, retail, and email managementPractical tips for starting small, iterating, and scaling AI adoptionAdvice for businesses to view AI as an enabler and focus on measurable outcomesConclusionAgent AI is redefining business automation, transforming reactive tools into proactive digital assistants capable of handling complex workflows. With platforms like StudioX, companies of any size can implement AI agents, automate processes, and unlock new levels of efficiency, productivity, and growth. Starting small, experimenting, and scaling intelligently is the key to successfully leveraging this technology.

This interview is part of a Microsoft Agentic AI Playbook, the download link is below.James Caton interviews Sheba Fernando, Vice President, AI Solutions and Presales, LTIMindtree, on the Agentic conversations she is having in Industry. We discuss:• an example of how Agentic AI transformed the operations of a building automation customer, reducing call handling time by 60% and significantly lowering operational costs• how LTI Mindtree is rethinking the traditional AI COE, to include specialized components such as agentic frameworks, reasoning and planning engines, memory systems, and execution environments. • the need for ‘watcher' agents, which will monitor incoming signals and alert for anomalies, driving consistency and enterprise value for customers. .YouTube:https://youtu.be/7jwYA3ZxOmsApple:https://podcasts.apple.com/us/podcast/generate-now/id1566458654Spotify: https://open.spotify.com/show/43XcU8A1dsNfW3YGT8KXhp?si=97412552ae4c439aSheba Fernando:https://www.linkedin.com/in/sheba-fernando-40060619/James Caton:https://www.linkedin.com/in/jmcatonAgentic AI Playbook:https://aka.ms/AgenticPartnerPlaybook

Media platforms, including Meta, TikTok, X, Spotify, Pinterest and others, have been advancing their own AI capabilities to improve the advertising process of creating and serving ads to an audience. So where does this leave media and creative agencies?Meta, has gone so far as to call itself a “one stop shop” for advertisers, by reportedly aiming to fully automate advertising, including the creation and targeting of ads, by the end of the year. After this was reported, Meta's stock price went up, while Publicis, Omnicom, IPG and WPP's all took a dip. Chief executive Mark Zuckerberg said: “Over the long term, advertisers will basically just be able to tell us a business objective and a budget, and we're going to go do the rest for them.”In this episode, the Campaign editorial team discusses how much of a threat media platform's advancement of AI poses and how agencies are adapting to not lose their role in the advertising process.Hosted by tech editor Lucy Shelley, the episode features deputy media editor Shauna Lewis and editor Maisie McCabe.Further reading:You can't just tell an AI to create ads like a CCOWhy is principal-based media buying so controversial?Buckle up for the ride as agency world will look significantly different in two yearsUK TV commercial chiefs on 'radical collaboration' and ‘bullishness' in the face of LHFSir Martin Sorrell: Tech platforms are encroaching on clients of large agenciesWill media buyers be the first victims of AI?Media buying among 'first areas to go' with rise of AI, says MediaMonks co-founderGoogle's EMEA president urges adland: ‘Don't wait for magic AI moment – it's here'Microsoft AI CEO: Bigger organisations are ‘starting to feel the pressure' from AI Hosted on Acast. See acast.com/privacy for more information.

In this conversation, Aarti Anand shares her journey from a traditional 9 to 5 job to becoming an entrepreneur with Kodenyx AI, focusing on how AI and automation can help businesses thrive. She discusses the importance of identifying business patterns, shares success stories of AI implementations, and highlights the challenges organizations face when adopting AI. Aarti emphasizes the importance of a proactive mindset, the significance of starting small, and the skills necessary for effective AI project management. She also highlights her current business success and future goals, showcasing the potential of AI in transforming business operations. Episode # 164 Today's Guest: Aarti Anand, Founder, Kodenyx AI Aarti was a product leader for 15 years and one day, decided to let it all go and start Kodenyx AI. Website: Kodenyx AI YouTube: Aarti Anand What Listeners Will Learn: How to identify common business challenges through conversations with other entrepreneurs. AI and automation became tools for creating a desired lifestyle. The importance of defaulting to action rather than over-planning. Lead generation and time-saving solutions are key selling points for AI services. Starting with service allows for the productization of successful solutions. Organizations face knowledge gaps and team pushback when adopting AI. A proactive mindset is crucial for success in AI projects. Fear of change can hinder progress, but the right mindset can overcome it.   Chapters 00:00 Introduction to Aarti Anand and Kodenyx AI 02:45 The Journey from 9 to 5 to Entrepreneurship 05:49 Leveraging AI for Business Automation 08:36 Common Patterns in AI Implementation 11:34 Success Stories and ROI from AI Solutions 14:37 Challenges in Selling AI Solutions 17:31 Strategies for Successful AI Adoption 20:13 Identifying Skills for AI Projects 23:08 Creating a Culture of Innovation 26:10 Future Vision and Business Growth 27:58 Conclusion and How to Connect with Aarti Resources: Kodenyx AI

Welcome to Chat GPT, the only podcast where artificial intelligence takes the mic to explore the fascinating, fast-changing world of AI itself. From ethical dilemmas to mind-bending thought experiments, every episode is written and narrated by AI to help you decode the technology shaping our future. Whether you're a curious beginner or a seasoned techie, this is your front-row seat to the rise of intelligent machines—told from their perspective. Tune in for smart stories, surprising insights, and a glimpse into the future of thinking itself. Listen Ad Free https://www.solgoodmedia.com - Listen to hundreds of audiobooks, thousands of short stories, and ambient sounds all ad free!

Send us a textAI-Driven Business Transformation with Hitachi SolutionsThe Evolving Role of Data Science in AI: Hosted by Laurel Greszler, she visits with Hitachi Solutions Data Science & AI Resident Experts Fred Heller and Mike Kirkpatrick to discuss how data science is foundational to unlocking business value from vast, underutilized data assets. They emphasize that data scientists transform raw data into actionable insights, enabling organizations to automate and optimize decision-making processes. AI as a Strategic Business Enabler: The team highlights that AI, particularly generative AI (GenAI), is not a magic solution but a powerful tool that, when applied thoughtfully, accelerates business outcomes. They stress the importance of setting realistic expectations and integrating AI into existing analytical best practices. Three Core AI Solution Categories:Custom AI Chatbots: Tailored chatbots using Retrieval Augmented Generation (RAG) architectures allow dynamic interrogation of large text datasets, providing users with precise, context-aware answers. This approach leverages Azure cloud services for security and scalability, aligning with Microsoft investments. Document Processing Automation: AI-driven document processing dramatically reduces manual effort, cycle times, and costs by automating the extraction and summarization of information from large volumes of documents. This is especially impactful in industries burdened by compliance and documentation requirements. AI-Powered Document Generation: Generative AI can rapidly produce high-quality first drafts of complex documents (e.g., proposals, reports), giving teams a significant head start and freeing up time for higher-value work. This solution is particularly valuable for organizations that produce lengthy, formulaic documents. Custom vs. Out-of-the-Box Solutions: The conversation distinguishes between out-of-the-box tools like Microsoft Copilot and custom AI builds. While standard solutions offer quick wins, custom builds are essential for complex, industry-specific needs, offering better long-term value and integration with existing business processes. Industry-Agnostic Impact: The team shares that these AI solutions are applicable across industries—from manufacturing to pharmaceuticals—wherever there is a need to process or generate large volumes of information. The common thread is the desire to reduce manual reading and writing, improve efficiency, and empower employees to focus on higher-value tasks. Customer-Centric Approach: Hitachi Solutions' methodology starts with understanding the customer's true business challenge, ensuring that AI solutions are tailored to deliver measurable impact. Advisory workshops and collaborative design sessions are used to align technology with business goals. Microsoft Azure Expertise: As a Microsoft-dedicated partner, Hitachi Solutions leverages Azure's robust AI and data services to deliver secure, scalable, and future-ready solutions, ensuring customers maximize their existing technology investments. Key Takeaway: AI and data science, when strategically applied, can transform business operations, reduce costs, and enhance employee satisfaction. Hitachi Solutions offers deep expertise in custom AI development, ensuring solutions are both innovative and aligned with each customer's unique needs. global.hitachi-solutions.com

In this episode of Get Out of Wrap, Martin sits down with Kevin McGachy, Head of AI Solutions at Sabio, to unpack one of the hottest topics in the industry right now – Agentic AI.Kevin shares his journey from the contact centre floor to leading AI solutions, and explains in plain English the difference between conversational AI, generative AI, and agentic AI. We explore what's actually happening in real-world deployments, where organisations are seeing the most value today, and what the future of AI-powered service might look like.Expect insights on:Why text-based channels are leading the way for agentic AIHow businesses can build trust and compliance guardrailsThe role of humans in overseeing, coaching, and improving AI agentsWhy reducing customer effort and proactive engagement are key to successWhether you're a contact centre leader, a CX professional, or just curious about AI's role in customer service, this episode will leave you informed and inspired.Download the e-book here;https://sabiogroup.com/ebook/delivering-on-the-potential-of-ai-for-contact-centres/?utm_source=get-out-of-wrap&utm_medium=podcast&utm_campaign=2025-07-gpco-ai-for-contact-centres

In AI, building great technology isn't enough. You can solve a real problem and still struggle to gain adoption. Why? Because Product-Market Fit in AI isn't just about function. It's about trust. That was the central theme in a recent conversation with Gemma Galdon-Clavell, founder of Eticas AI, and Collin Stewart. Their insights highlight why founders can't rely on old playbooks: Strong tech without trust still faces market reluctance. Compliance doesn't equal safety. Guardrails must be built in early. In immature markets, founder-led trust-building comes before scale. Referrals, not polite praise, are the real signal of PMF. Even good VC advice can kill you if it's mistimed. The message is simple: in AI, true PMF is fit plus trust. Highlights include: Adapting to Client Needs in AI Solutions (04:57), Guiding Clients Through Uncertainty (07:06), Evolving Customer Acquisition Strategies (08:02), The Importance of a Strong Management Team (10:21), Navigating VC Relationships (12:25), Marketing and Visibility Challenges (16:22), And more... Stay updated with our podcast and the latest insights in Outbound Sales and Go-to-Market Strategies!

Send us your thoughtsIn this episode of CFO 4.0, host Hannah Munro talks with Tariq Munir, Managing Partner at Finspyr and author of Reimagine Finance, about how CFOs and finance leaders can lead successful transformation in the age of AI. In this episode, you'll learn:Why transformation should be embedded in everyday finance work, not treated as a separate roleHow to influence change without authority and build a “transformation snowball”What good governance looks like — and the pitfalls that can derail changeHow to measure AI project success beyond ROI, including adoption and engagementThe role of subject matter experts in training and maintaining effective AI modelsHow to simplify workflows and manage complexity before introducing AILinks mentioned:Tariq's Linkedin Learn more about FinspyrTariq's book Reimagine Finance  Explore other CFO 4.0 Podcast episodes here. Subscribe to our Podcast!

Unlock the secrets to revolutionizing your sales strategy with the power of AI! Join us as we sit down with Drew Regan, Global Leader, CRM Modernization & AI Solutions at Microsoft, who brings fresh insights from his recent move from Salesforce. Discover how AI is not just a buzzword but the backbone of a seamless, efficient work environment, helping businesses consolidate data and obliterate silos. With Microsoft's cutting-edge applications like Azure, Outlook, and Dynamics, you'll learn how to harness AI for dynamic, streamlined processes that transform mundane tasks into strategic opportunities. Say goodbye to the drudgery of manual data entry and hello to a new era of CRM efficiency. We tackle the common frustrations of sales professionals burdened by traditional CRM systems and unveil how AI and automation, through platforms like Microsoft's Dynamics 365 and Salesforce, are game changers. Imagine freeing up valuable time to focus on building customer relationships instead of logging information. Our conversation underscores the value of a unified platform that eliminates complexity and boosts productivity, all while keeping the focus on what truly matters—driving business success through meaningful customer interactions. As we explore the future of AI in sales, witness firsthand the immense potential of AI-driven tools like Microsoft's Copilot and Dynamics. These technologies drastically cut down the time and effort needed for tasks like preparing QBR presentations, empowering sales teams to prioritize strategic deals. From enhancing decision-making with precise data analytics to automating routine tasks, AI is reshaping modern business practices. You'll hear real-world examples of how AI optimizes field service operations and meeting preparations, paving the way for a more productive and successful future. Don't miss out on learning how AI is not just a tool but a strategic partner in revolutionizing your sales processes. Drew Regan is a Global Leader and Principal Business Program Manager based in Charleston, South Carolina, guiding organizations of all sizes to modernize CRM with an AI-first approach across all stakeholders. With a strategic mindset and passion for innovation, Drew helps businesses transform with speed to stay ahead of the competition and drive measurable impact by deploying productivity and automation across their entire operation. As a strategic and trusted partner, Drew leads customers through the AI-driven shift from legacy CRM systems to modern, intelligent enterprise platforms, enabling smarter engagement and scalable growth. His programmatic approach, collaborative leadership, and results-oriented mindset empower teams and customers to thrive in today's dynamic digital landscape.   Quotes: "AI isn't just a buzzword—it's becoming the backbone of a seamless and efficient work environment, helping businesses obliterate silos and consolidate data."  "With Microsoft's cutting-edge applications like Azure, Outlook, and Dynamics, AI is transforming mundane tasks into strategic opportunities, paving the way for modern sales success."  "Say goodbye to the drudgery of manual data entry and hello to a new era of CRM efficiency where AI and automation become game changers."  "The true power of AI lies in its ability to automate routine tasks, allowing sales teams to focus on what truly matters—building meaningful customer relationships and driving business success."    Links:  Drew's LinkedIn - https://www.linkedin.com/in/drew-regan-01272b7/ Microsoft - https://www.microsoft.com/en-us/ Find this episode and all other Sales Lead Dog episodes at https://empellorcrm.com/salesleaddog/ 

If your practice's collections aren't where they should be, it might not be because of fewer patients—it could be because your revenue is trapped in insurance company limbo. The truth? Without a rock-solid revenue cycle management (RCM) process, you're leaving money on the table… and adding stress to your team. In this episode of the Raving Patients Podcast, I sit down with Shreyas Parab, co-founder and CEO of Daydream, to explore how AI can revolutionize dental billing without removing the human expertise that keeps claims moving. Shreyas shares his unique perspective—shaped by growing up in his mother's small Medicaid dental practice—on why dental billing is a hidden bottleneck for many offices and how automating key steps can unlock both revenue and time. We break down what “human-in-the-loop” AI really means, how to verify insurance more efficiently, and why complete transparency in billing services is non-negotiable for cash flow health. We also dig into the broader role of AI in dentistry—what's working now, where the technology still falls short, and the untapped opportunities that could transform patient communication and education in the near future. Shreyas provides real-world examples of practices that have recovered hundreds of thousands in aged receivables by combining AI-driven workflows with experienced billers, and why this hybrid approach outperforms both in-house teams and traditional billing agencies. Whether you're currently outsourcing, doing billing in-house, or simply curious about what's possible, this conversation will give you the tools to evaluate your RCM strategy and future-proof your practice against the growing complexity of insurance reimbursement. Here are the interesting stuff we talked about in this episode: Automating bottlenecks works best with expert oversight. Pure AI isn't ready to replace billers—but it can triple their efficiency. Transparency is key. If you can't see exactly what's happening with your claims, you can't fix revenue leaks. Growth magnifies billing challenges. Expanding operatories, adding associates, or buying a new practice will strain in-house billing unless processes scale. Patient communication is an untapped AI opportunity. Future tools could educate patients before appointments, improving case acceptance and freeing up clinical time.   Key Takeaways 00:43 Introduction and Event Announcement 02:23 Meet Shreyas Parab: The Vision Behind Daydream 04:30 The Journey from Dental Practice to AI Solutions 05:59 Understanding the Burden of Dental Billing 07:45 The Role of AI in Automating Dental Billing 10:00 Why Automation Over Software Tools? 13:00 Human-AI Collaboration in Dental Billing 14:33 Services Offered by Daydream 15:46 AI-Driven Processes in Dental Billing 17:47 Pain Points with Traditional Billing Agencies 21:12 Identifying Candidates for Daydream's Services 23:22 Exploring AI's Impact on the Dental Industry 24:00 The Future of AI in Dentistry 28:44 AI's Role in Patient Education and Communication 30:38 Limitations of AI in Dental Practices 33:06 Understanding AI's Writing Patterns 38:19 Innovative Marketing Strategies in Dental Practices   — Connect with Shreyas Learn more about Daydream and schedule a demo at daydream.dental.   — Learn proven dental marketing strategies and online reputation management techniques at DrLenTau.com. This podcast is sponsored by Dental Intelligence. Learn more here. This podcast is sponsored by CallRail, call tracking & lead conversion software for dentists. Find out more here. Raving Patients Podcast is your go-to place for the latest and best dental marketing strategies that will help you skyrocket your practice. Follow us for more!

As dental practitioners, you surely put your blood, sweat, tears and years into growing your practice. But do you invest enough capital into protecting your practice with robust IT and security systems? The latest episode of The Dental Economist Show uncovers the reality of dental security today and why 70% of dental practices are at risk of a security breach. Tune in to hear host Mike Huffaker and Tom Barberio, Chief Information Officer at Thinc Forward, chat about the evolving landscape of dental technology and IT security - from how practices can avoid common technology pitfalls and effectively plan for infrastructure updates to how they can leverage the shift to cloud-based solutions. This conversation highlights that dental technology is shifting from being a cost center to becoming a true business enabler.

Today's guest is Dr. Steffen Hoffmann, Managing Director of Bosch UK. Dr. Hoffmann joins Emerj Editorial Director Matthew DeMello to explore the strategic deployment of AI across industrial sectors, from manufacturing operations to internal business systems. Dr. Hoffmann shares how AI is helping manufacturers address upstream process variables to reduce defect rates and improve efficiency. He also discusses the importance of “human in the loop” oversight in regulated environments, and how Bosch's internal deployment of generative AI — starting with an HR assistant — serves as a model for cautious, business-aligned innovation. The conversation explores industrial applications of AI governance, the role of internal use cases in de-risking new technologies, and the broader cultural conversation around balancing AI's risks and rewards. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Understanding how AI can cater to the problems of Indian users.

In dieser Episode spreche ich mit Marco Geuer, Associate Partner bei Blueforte (zuvor Global Head of Data Strategy & AI Solutions bei Fiege) und Dr Alexandra Speil, Global Head of Data Analytics & AI bei Fiege (zuvor Principal Technical Specialist bei IBM).Wir sprechen über folgende Themen:Warum scheitern über 70 % der Digitalisierungs- und KI-Initiativen – und wie lässt sich das vermeiden?Welche Rolle spielt das C-Level bei erfolgreicher digitaler Transformation?Wie können Unternehmen ihre KI-Strategie erfolgreich in die Gesamtstrategie integrieren?Warum ist Fokus entscheidend, um Digitalisierungs- und Datenprojekte erfolgreich umzusetzen?Wie baut man in Unternehmen Champions für Daten- und KI-Initiativen auf?Welche Fehler bremsen Digitalisierungsprojekte – und wie lassen sie sich beheben?Wie gelingt es, aus erfolgreichen Prototypen skalierbare Lösungen zu entwickeln?Welche Faktoren sind entscheidend für eine nachhaltige Innovationskultur im Unternehmen?Podcast-Moderator: Christoph PacherLinkedInInterviewgast: Marco Geuer, Associate Partner – BlueforteLinkedInInterviewgast: Alexandra Speil, Global Head of Data Analytics & AI – FiegeLinkedIn

Ian McBeth is the Head of eCommerce at home furniture business Oak Furnitureland. Founded in 2003 as an eBay store! They now sell via their custom online store, telesales, and their 70 stores, selling over £230 million of furniture in the UK every year. Ian's experience runs far beyond the world of furniture with past roles at Craft Gin Club, hair brand Josh Wood Colour, Vivobarefoot, Ted Baker and many more! In this episode, Ian shares the smart strategies behind scaling a complex omnichannel eCommerce operation—plus his no-nonsense approach to using AI, data, and tech to drive real results. Hit PLAY to hear: How Oak Furnitureland links online and in-store shopping with a clever QR strategy

Today's guests are Dwight Hill, Vice President of Retail & Consumer Products at Turing, and Joe Troy, Senior Manager of Site Risk at Amazon. Turing is one of the world's fastest-growing Artificial Intelligence companies, working with the world's leading AI labs to advance frontier model capabilities and leveraging that work to build real-world AI systems that help businesses solve their toughest problems —delivering real business results, faster, smarter, and at scale. Joe and Dwight join Emerj Editorial Director Matthew DeMello to examine how generative AI is delivering measurable value in retail, starting with loss prevention and expanding across store operations, marketing, and workforce strategy. Throughout the episode, Joe shares how AI-powered video analysis and behavioral intelligence tools are helping risk teams surface anomalies faster, reduce investigation time, and prevent insider threats. In turn, Dwight discusses how retailers are using GenAI to optimize pricing, personalize customer experiences, and streamline marketing campaigns — emphasizing the importance of unified data and human-in-the-loop execution. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business' podcast! This episode is sponsored by Turing. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Content Marketing AI Solutions: CEO Edition with SEO Expert, ⁠⁠⁠Favour Obasi-ike, MBA, MS⁠⁠⁠⁠⁠.Welcome to an extensive discussion on AI solutions for content marketing, specifically for CEOs and business owners. We emphasize the importance of leveraging AI and search engine optimization (SEO) to enhance online visibility and brand mentions discussing practical applications of AI tools like Harpa AI for content creation, transcription, and analytics, highlighting how these tools can streamline workflows and improve content discoverability across various platforms. The conversation also touches upon the evolving landscape of podcasting as a powerful tool for establishing authority and generating leads, with personal anecdotes illustrating its effectiveness in attracting brand collaborations. Finally, we underscore the critical role of owned media in earning visibility within AI search algorithms and the necessity for businesses to adapt their content strategies to stay relevant in the digital age.FAQs1. How is AI transforming the landscape of Search Engine Optimization (SEO)?AI is fundamentally changing SEO by simplifying its processes and shifting the focus from simply ranking for keywords to writing for the algorithm. In the past, the goal was to rank high in search results based on keywords. Now, AI-powered search engines prioritize "brand mentions" and contextual relevance.2. What is "writing for the algorithm" in the age of AI, and why is it crucial for businesses?"Writing for the algorithm" means creating content specifically optimized for how AI systems process and interpret information. This involves writing in speech-friendly formats, using text, video, and image content, and ensuring it's highly contextual to your brand, experience, and engagement. It's no longer just about keyword density; it's about providing a clear, impactful message that resonates with AI's understanding of relevance and authority.3. What practical steps can a business owner take to leverage AI for content marketing and improve their online visibility?To effectively leverage AI for content marketing, business owners should:Conduct a Search Console Audit: Use tools like searchconsoleaudit.com to understand how algorithms perceive your website.Create Brand-Relevant Content: Write content that aligns with what people expect your brand to discuss, offering solutions through your products and services.Utilize AI Tools for Content Creation and Optimization: Employ AI tools like DeepSeek, ChatGPT, or Harpa AI for tasks like transcribing videos with timestamps, rewriting content for specific platforms (e.g., Facebook posts with hashtags), and generating ideas.Focus on Owned Media: Prioritize creating evergreen content on platforms you own (podcasts, blogs, website) as this highly valuable "owned media" will be recognized as "earned media" by AI search engines, leading to brand mentions and credibility.Analyze Performance with Advanced Analytics: Beyond Google Analytics, explore tools like Fathom Analytics to gain deeper insights into user behavior, geographic data, and the effectiveness of your content, which helps in delivering precisely what the audience seeks.Digital Marketing Resources:>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Join our exclusive SEO Marketing community⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠SEO Optimization Blogs⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Book Complimentary SEO Discovery Call⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscribe to We Don't PLAY Podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Brands We Love and Support⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Loving Me Beauty | Buy Vegan-based Luxury Products⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Unlock your future in real estate—get certified in Ghana today!⁠

Google Search Console SEO: Business Growth and SEO Strategies: Unlocking AI Solutions with SEO Expert, ⁠⁠Favour Obasi-ike, MBA, MS⁠⁠⁠⁠.This Clubhouse audio captures a dynamic online discussion about digital marketing strategies and business growth, primarily focusing on Google Search Console trends. The speakers, including the host and "Doctor Fashion" share personal triumphs, such as property acquisitions and brand partnerships, illustrating the tangible benefits of consistent effort and community building. Key topics explored include leveraging AI for content creation, the importance of analyzing search data to drive traffic and monetization, and the critical role of maintaining an updated online presence. The conversation also touches upon podcast sponsorships, email marketing, and the overall significance of professional branding in today's digital landscape.FAQs about Google Search Console (GSC SEO)1. What is the significance of Google Search Console search trends for businesses?Google Search Console search trends are crucial for businesses because they provide real-time insights into what content is trending up or down. This tool, now a full feature after moving from its beta phase (Search Console Insights beta), allows businesses to analyze search volumes and content performance over specific periods (e.g., period over period, like this time last year vs. now). By understanding these trends, businesses can tailor their content creation to match seasonal interests and high-demand topics, ensuring their content remains relevant and discoverable.2. What are the essential aspects of SEO (Search Engine Optimization) and website structure for long-term online presence?Effective SEO and website structure are critical for long-term online presence. This involves using Google Search Console to mine data for intellectual property, tracking tools, ranking words, and key phrases that drive transactions. Content should be structured to target high CPC (cost per click) keywords, ensuring that blogs and landing pages are optimized for search engine visibility and lead to checkout pages. Additionally, it's crucial to understand the lifespan of content; blogs, for example, have a lifespan of about 24 months. Failure to update links and content within this period can lead to deletion from Google's index, highlighting the need for continuous content refreshment and relevance.3. What are the key monetization strategies for content creators, particularly in podcasting?For podcasts, this often involves "host-read ads" and "programmatic ads." Host-read ads are directly integrated into the episode by the host and can be placed as "pre-rolls" (before the episode), "mid-rolls" (during the episode), or "post-rolls" (after the episode). Programmatic ads involve inserting ad slots that brands can bid on, leading to scheduled payouts based on impressions or engagement. Building analytics and systems that allow for both organic and programmatic monetization, as seen with Amazon brand partnerships, is key to generating consistent revenue.Digital Marketing Resources:>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Join our exclusive SEO Marketing community⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Latest blogs on SEO optimization and Online Marketing⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Book your Complimentary SEO Discovery Call⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Book Paid Marketing Consultation Call⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscribe to We Don't PLAY Podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Brands We Love and Support⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Loving Me Beauty | Buy Vegan-based Luxury Products⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Unlock your future in real estate—get certified in Ghana today!⁠

What happens when the world goes to sleep? A legacy DSO conference gets built. Tune into the latest episode of The Dental Economist Show with host, Mike Huffaker, as he welcomes Brian Colao, Director of Dykema's DSO Industry Group, and DSO big shot, to explore the upcoming Dykema Definitive DSO Conference. Together they unpack the ins and outs of the iconic conference - from maximizing networking opportunities and navigating a record-breaking 2,400+ attendance to insider tips on must-see sessions. Brian shares exclusive insights about the event's legendary production value, star-studded lineup including John McEnroe, and how the conference has evolved to become dental's premier networking and educational experience. On the surface, this is a conversation about a mammoth DSO conference. But at its core, it's a conversation that will leave you excited about the opportunities in the dental industry.

Today's guest is Neil Bhandar, Chief Data Analytics Officer for Generac. Neil brings decades of experience in artificial intelligence, from academic research to enterprise-scale implementation across manufacturing and financial services. He joins Emerj Managing Editor Matt DeMello to explore the hidden costs of building AI in-house, the risks of over-relying on large models, and how service organizations can deploy GenAI to improve efficiency and preserve institutional knowledge. Neil shares how GenAI is helping field teams access hard-to-find information in real-time — reducing the need for costly site visits and accelerating issue resolution. He also explains why human empathy remains essential in last-mile service roles, even as AI tools take on more diagnostic and decision-making responsibilities. Finally, Neil offers practical advice for enterprise leaders evaluating AI partnerships — emphasizing cultural alignment, modularity, and the need to protect what makes their organizations uniquely competitive. This episode is sponsored by Aquant. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business' podcast!

This is the dream - put your core values front and centre, get culture right and watch your dental practice flourish. This is reality - dental practices get comfortable, complacent and resistant to change, causing them to stagnate. In the latest episode of The Dental Economist Show, host Mike Huffaker welcomes Len Schiavone, CEO of CORDENTAL Group, to explore the strategies that enable the dream. Tune in for actionable insights on how dental practices can innovate faster than traditional healthcare, why patient education and trust-building are critical for treatment acceptance, and how emerging AI technologies are reshaping dental operations. This conversation offers fresh perspectives on why dentistry is uniquely positioned to lead healthcare innovation and how practices can balance profitability with purpose.

Chris Watson, Vice President of Premise Data, joins Mike Shanley to discuss how AI innovation and federal procurement intersect, and what changes could facilitate greater innovation. RESOURCES: GovDiscovery AI Federal Capture Support: https://www.govdiscoveryai.com/ Premise Data: https://premise.com/ Connect with Chris on LinkedIn: https://www.linkedin.com/in/christopherwilliamwatson/ BIOGRAPHY: Chris Watson is an evangelist for digital transformation, data-driven decision-making, and increased use of commercial products in the global development industry. He currently leads Premise Data's international development division, with a focus on scaling the use of Premise by country governments, development donors, and their implementing partners. Growing up in West Virginia, Chris became interested in issues of poverty, grassroots development, and the world outside his hometown. He began his international development career in Helmand Province, Afghanistan, where he distributed $38 million in emergency seed and fertilizer to farmers returning to areas recently liberated from Taliban control. Not knowing whether this work had a real impact ignited his obsession with using real-time data collection and analytics to improve the efficacy of development programming. Over the last eight years, Chris has helped define and grow the use of Premise by stakeholders in global health, humanitarian assistance, and democracy and governance. He led go-to-market for the international development portfolio, securing support from the Bill & Melinda Gates Foundation to prove the value of Premise's technology and subsequently scaling its use to 70+ development donors, implementing partners and governments. Chris and Premise deeply believe that local citizens should have an increased say in defining the challenges and improving development in their local communities. Shifting the task of collecting data and monitoring service delivery to thousands of local residents as gig work democratizes involvement in such issues while providing a supplementary source of income. LEARN MORE: Thank you for tuning into this episode of the GovDiscovery AI Podcast with Mike Shanley. You can learn more about working with the U.S. Government by visiting our homepage: Konektid International and GovDiscovery AI. To connect with our team directly, message the host Mike Shanley on LinkedIn. https://www.govdiscoveryai.com/ https://www.konektid.com/  https://www.linkedin.com/in/gov-market-growth/ 

Today, we're talking with Dr. Deepti Mehtani, VP of Clinical and AI Solutions at NextGen Healthcare. In this episode, we discuss: How Dr. Mehtani's team proved AI can be trusted with sensitive medical data - So why are you avoiding it in your own product? The key lessons behind NextGen's AI that turns doctor-patient conversations into medical-grade, accurate, structured data And how Deepti and her team won over skeptical doctors and turned them into AI champions - saving them hours per day in the process Links LinkedIn: https://www.linkedin.com/in/drdeeptimehtani/ NextGen Healthcare: https://www.nextgen.com/ Resources Spotlight Interview: https://blog.logrocket.com/product-management/leader-spotlight-deepti-mehtani/ How To Say "Not Yet" To Enterprise | Deepti Mendiratta, VP Of Products (HungerRush) | LaunchPod: https://youtu.be/WHapWGbuS0Q Chapters 00:00 Intro 01:04 From Medicine to Tech 03:41 NextGen Healthcare Overview 04:54 AI Solutions for Clinicians 09:17 Patient Summaries and Ambient Assist 18:46 Building Trust in AI 21:12 Data Privacy and Security 27:51 Improving Patient Access 33:10 Cross-Industry Insights 34:56 Conclusion Follow LaunchPod on YouTube We have a new YouTube page (https://www.youtube.com/@LaunchPod.byLogRocket)! Watch full episodes of our interviews with PM leaders and subscribe! What does LogRocket do? LogRocket's Galileo AI watches user sessions for you and surfaces the technical and usability issues holding back your web and mobile apps. Understand where your users are struggling by trying it for free at LogRocket.com (https://logrocket.com/signup/?pdr). Special Guest: Deepti Mehtani.

In this episode of The Digital Executive podcast, host Brian Thomas welcomes Aaron Tate, Senior Vice President and CIO at TechnoMile. With over 15 years in government contracting and defense, Tate shares how his diverse background in engineering, consulting, and field deployment shaped his product-first, customer-centric approach. At TechnoMile, he leads the development of secure, AI-enabled cloud solutions that help GovCon businesses find the right opportunities, remain compliant, and accelerate contract performance.Aaron also discusses how TechnoMile's platform—built specifically for the public sector—enables government contractors to stay competitive through tools like GovSearch AI and Notices IQ. As the industry embraces agentic AI, Aaron offers insight into how emerging technologies will redefine how proposals are built, opportunities are identified, and digital transformation is achieved. For anyone navigating the evolving GovCon space, this conversation offers a clear look at what's next.Subscribe to the Digital Executive Newsletter for curated strategies, expert perspectives, and industry trends. Sign up now here.

In episode 247 of our SAP on Azure video podcast we talk about  SAP and AI again. Just a few weeks back we had CJ on our show to talk about Azure AI and SAP. In the meantime he is continuing to build out his integration demos. I think he is now at part 9 of his demos. Today we want to take a step back and want to see what kind of integrations are possible when it comes to AI & AI from a Microsoft development point of view. Find all the links mentioned here: https://www.saponazurepodcast.de/episode247Reach out to us for any feedback / questions:* Robert Boban: https://www.linkedin.com/in/rboban/* Goran Condric: https://www.linkedin.com/in/gorancondric/* Holger Bruchelt: https://www.linkedin.com/in/holger-bruchelt/ #Microsoft #SAP #Azure #SAPonAzure

In the Tech.eu podcast, Laura Modiano talks about how OpenAI is working with startups across Europe.

Brad Moss is a prominent figure in the field of artificial intelligence, known for his innovative work with Enhanced AI. His journey spans diverse experiences, from the entertainment industry to significant roles at Amazon, where he developed systems that empowered third-party sellers. Moss's vision for Enhanced AI is to democratize access to advanced AI tools, allowing individuals and businesses to streamline their operations and enhance creativity without requiring extensive technical expertise. Through the Flex Prompt system, he emphasizes the importance of structured workflows that guide AI systems to generate accurate and relevant outputs. By integrating various AI models into a user-friendly interface, Enhanced AI enables users to tailor their workflows to meet specific needs. Moss advocates for a responsible approach to AI implementation, addressing critical considerations such as data privacy and security while fostering a culture of continuous learning. His commitment to empowering creatives and entrepreneurs is evident in the diverse applications of Enhanced AI, which range from automating content generation to enhancing customer engagement strategies. If you're interested in exploring the transformative power of Enhanced AI for your business, consider joining Brad's multi-week Masterclass. This course will cover the fundamentals of the AI industry, the limitations of various platforms, and how to effectively orchestrate multiple AIs across your business. As a special offer for our YBA listeners, visit this page for a discounted rate. Don't miss this opportunity to enhance your skills and leverage AI technology to drive meaningful change in your organization.  For the accessible version of the podcast, go to our Ziotag gallery.We're happy you're here! Like the pod?Support the podcast and receive discounts from our sponsors: https://yourbrandamplified.codeadx.me/Leave a rating and review on your favorite platformFollow @yourbrandamplified on the socialsTalk to my digital avatar

Hey CX Nation,In this week's episode of The CXChronicles Podcast #261 we were capturing live interviews at Customer Contact Week at The Caeasar's Forum in Las Vegas, NV.We joined 5,000+ attendees, from 49 states, 51 countries, and spent time meeting & learning from 250+ of the largest solution providers in the CX & customer contact center space. Let's call it what is folks, this is essentially the "Super Bowl of CX" the best & brightest companies in our game gather at CCW to talk shop & share their latest & greatest features, gadgets & services.Our guest interviews for this IRL (in-real life) event episode included: Peter Nilsson (Microsoft), Michael Kinsella & Tomas Piacek (Klearcom), Ashu Dubey (Alhena AI) Janet Vito & Emily Cash (Cyara). Each of the guests in this episode had unique points of view on the state of CX/CS/Customer Support & what the future of business will look like in today's world thanks to our favorite new little buddy, AI. **Episode #261 Highlight Reel:**1. CXC IRL Interviews from CCW Las Vegas 20252. Learnings from 250+ leading solution providers in customer contact3. Things that are top of mind for CX/CS/Support executives4. Improving your customer experience & building alongside AI for the future5. Examples of world-leading AI companies/solutions to keep your eyes onClick here to watch CXCP #261 On CXC YoutubeClick here to learn about Customer Contact WeekHuge thanks to everyone for joining us on this week's episode of The CXChronicles Podcast and featuring their work and efforts in pushing the customer & employee (agent) experience space into the future.If you enjoy The CXChronicles Podcast, stop by your favorite podcast player hit the follow button and leave us a review today.For our Apple & Spotify friends, make sure you are following CXC & please leave a 5 star review so we can find new listeners & members to expand our customer focused community.You know what would be even better?Go tell one of your friends or teammates about CXC's content,  strategic partners (Hubspot, Intercom, Zendesk, Freshworks, Forethought AI & Ascendr) + check-out the CXC Healthzone to learn more about our CX/CS/RevOps focused on-demand services.Are you looking to learn more about the world of Customer Sales & Marketing, Customer Experience, Customer Success, Employee Experience & Revenue Operations?Click here to grab a copy of my book "The Four CX Pillars To Grow Your Business Now" available on Amazon or the CXC website.For you non-readers, go check out the CXChronicles Youtube channel to see our customer & employee focused business content. Reach Out To CXC Today!Support the showContact CXChronicles Today Tweet us @cxchronicles Check out our Instagram @cxchronicles Click here to checkout the CXC website Email us at info@cxchronicles.com Remember To Make Happiness A Habit!!

In this episode of the Elevate Care Podcast, David Norris, CEO of Affineon Health, discusses the transformative role of AI in healthcare, particularly in alleviating provider burnout and enhancing patient care. He shares insights from his extensive experience in healthcare technology, emphasizing the need for innovative solutions to support healthcare providers overwhelmed by administrative tasks. The conversation explores how AI can streamline processes, improve patient communication, and ensure data privacy, while also addressing the challenges of adoption among healthcare professionals. Norris highlights the importance of creating a supportive environment for providers and the potential for AI to revolutionize patient-provider relationships in the future.Chapters:00:00 AI in Healthcare: A New Era04:45 Addressing Provider Burnout with AI Solutions10:50 Operationalizing AI: Protocols and Provider Control15:56 The Future of AI in Patient Care21:58 Ensuring Data Privacy and Cybersecurity in AI25:50 Looking Ahead: The Future of AI in Healthcare About David Norris: Mr. Norris is a CEO, investor, board member, advisor, and serial entrepreneur. Utilizing his extensive experience and network, he works closely with investors and boards to accelerate the growth of high potential companies. He has extensive governance experience on a wide range of boards and board committees.As a serial entrepreneur, he has founded and built companies in a number of different industries and has extensive fund-raising experience, having raised capital from VC, private equity, strategic, angel, and debt sources.Mr. Norris has held leadership positions in a number of companies including: Co-founder and CEO, Affineon Health, Chairman and CEO, Element3 Health (acquired 2022), Co-founder, Co-Founder and CEO of MD Insider (acquired by Accolade (NASDAQ:ACCD)), Co-founder and CEO of BlueCava (acquired by IDify/Adstra), Co-Founder and CEO of OnRequest Images, Co-Founder and CEO of ObjectSpace (acquired), VP/General Manager at Casco Signal Ltd (acquired by Alstom (ALO:EN)), and Toccata Systems (acquired by Chilton).Mr. Norris has extensive international business experience, having lived and worked in Europe, Asia, and the United States. He is a regular speaker at industry conferences, has lectured at organizations such as Microsoft and the Harvard Business School, has appeared on business TV programs such as CNN, Bloomberg TV, and has been quoted in publications such as The Wall Street Journal and New York Times.Mr. Norris has won various awards, including the Ernst and Young Entrepreneur of the Year, the Inc. 500, and The Software 500. He supports a number of charities including the American Diabetes Association and the National MS Society. Mr. Norris sits on a number of boards and is a senior advisor to a number of companies. He is also a very active cyclist. Sponsors: Discover how WorkWise is redefining workforce management for healthcare. Visit workwise.amnhealthcare.com to learn more.About The Show: Elevate Care delves into the latest trends, thinking, and best practices shaping the landscape of healthcare. From total talent management to solutions and strategies to expand the reach of care, we discuss methods to enable high quality, flexible workforce and care delivery. We will discuss the latest advancements in technology, the impact of emerging models and settings, physical and virtual, and address strategies to identify and obtain an optimal workforce mix. Tune in to gain valuable insights from thought leaders focused on improving healthcare quality, workforce well-being, and patient outcomes. Learn more about the show here. Find Us On:WebsiteYouTubeSpotifyAppleInstagramLinkedInXFacebook Powered by AMN Healthcare

A conversation with Dr. Yoona KimMedication mismanagement is a massive issue in American healthcare.Setting her sights on solving this problem is health economist, pharmacist, and CEO/co-founder of Arine - Dr. Yoona Kim.Dr. Kim realized that identifying problematic medication plans can move the needle on clinical and economic outcomes, and her AI-enabled company is proof - cutting costs and saving time for providers across the country.For patients, their work is saving lives - reducing hospitalizations, identifying potentially fatal prescriptions, and teaching the American people the importance of active involvement in their healthcare.—-We spoke about how misprescribed medications affect patient experience, how these errors happen systematically, how AI is making a difference at scale, and why the use of AI in healthcare must be synergistic with human-human interaction.Follow me on Instagram and Facebook @ericfethkemd and checkout my website at www.EricFethkeMD.com. My brand new book, The Privilege of Caring, is out now on Amazon! https://www.amazon.com/dp/B0CP6H6QN4

PAX 8 has announced the development of the first Managed Intelligence Toolkit, set to launch in 2026, aimed at empowering managed service providers (MSPs) to deliver AI solutions at scale to small and medium-sized businesses. This toolkit will integrate various Microsoft technologies, enabling MSPs to orchestrate automation for their clients. Scott Chason, CEO of PAX 8, emphasized the evolution of MSPs from managing infrastructure to managing intelligence, positioning them as architects of digital transformation. However, the term "Managed Intelligence Provider" has been criticized for being reductive, as IT service providers must maintain flexibility to address a wide range of digital needs beyond just intelligence.Apple has also made significant strides in the AI landscape, announcing plans to open its foundational AI technology to third-party developers. This shift comes as Apple faces scrutiny regarding its competitiveness in the evolving AI market. Additionally, Apple has introduced a new naming convention for its operating systems, moving from version numbers to a year-based system, which aims to simplify its previous approach. The company has also launched iPadOS 26, enhancing multitasking capabilities and user interface, while a recent research paper from Apple has raised doubts about the effectiveness of AI reasoning models, suggesting they struggle with complex problems.In a notable shift in U.S. cybersecurity policy, President Trump has rolled back key provisions established by the Biden administration, particularly concerning federal software acquisition rules and cybersecurity measures related to quantum computing and AI. This new executive order emphasizes limiting cyber sanctions to foreign actors and alters previous cybersecurity directives, which could impact the landscape of U.S. cybersecurity. The appointment of Brett Leatherman as the assistant director of the FBI's Cyber Division aims to strengthen efforts against cybercrime, although the Federal Communications Commission is currently facing challenges due to a lack of quorum, hindering its ability to address critical issues.Lastly, the MSP Owners Group has been launched by Juan Fernandez to support small to mid-sized MSPs, focusing on community-driven growth rather than traditional private equity models. This initiative aims to help struggling providers grow while maintaining their core values, emphasizing that trust and relationships are the real assets in an MSP. The rise of alternative models rooted in peer support and sustainable growth represents a significant evolution in MSP financing, offering owner-operators more nuanced paths for collaboration and exit strategies in a maturing M&A landscape.  Four things to know today  00:00 New Pax8 AI Toolkit Says ‘Manage Intelligence,' But Smart MSPs Will Manage Outcomes02:57 Apple Opens AI Tools to Developers While Quietly Questioning the Tech's Limits06:33 Trump Rolls Back Cyber Rules as FBI Appoints New Cyber Chief Amid FCC Paralysis09:58 MSP Owners Group Emerges as Third Path for Providers Seeking Growth Without Selling Out  This is the Business of Tech.     Supported by: Syncro All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessof.tech

Hey CX Nation,In this week's episode of The CXChronicles Podcast #260, we welcomed Patrick McCullough, President of Hallmark Business Connections, based in Kansas City, MO. Just like you rely on Hallmark to strengthen your personal relationships, you can count on them to keep your business going and growing.We help businesses by turning customers into advocates, employees into champions and companies into more connected environments all through the power of an unexpected Hallmark card.Nothing better than a "tangible thank you" in a world where everything seems to be moving towards digital. In this episode, Patrick and Adrian chat through the Four CX Pillars: Team, Tools, Process & Feedback. Plus share some of the ideas that his team at Hallmark Business Connections think through on a daily basis to build world class customer experiences.**Episode #260 Highlight Reel:**1. Hallmark cards -- the game changer in a digital world 2. Leveraging traditional mediums to grow your business & CX efforts3. Why tangible gifts & notes are still extremely beneficial in business 4. Expanding your tool-kit for customer & employee shout-outs 5. What we can learn from Hallmark about remaining relevant over decadesClick here to learn more about Patrick McCulloughClick here to learn more about Hallmark Business ConnectionsHuge thanks to Patrick for coming on The CXChronicles Podcast and featuring his work and efforts in pushing the customer experience & customer success space into the future.If you enjoy The CXChronicles Podcast, stop by your favorite podcast player hit the follow button and leave us a review today.For our Spotify friends, make sure you are following CXC & please leave a 5 star review so we can find new listeners & members of our community.For our Apple friends, same deal -- follow CXCP and leave us a review letting folks know why you love our customer focused content.You know what would be even better?Go tell one of your friends or teammates about CXC's content,  our strategic partners (Hubspot, Intercom, & Zendesk) + they can learn more about our CX/CS/RevOps On-Demand services & please invite them to join the CX Nation!Are you looking to learn more about the world of Customer Experience, Customer Success & Revenue Operations?Click here to grab a copy of my book "The Four CX Pillars To Grow Your Business Now" available on Amazon or the CXC website.Reach Out To CXC Today!Support the showContact CXChronicles Today Tweet us @cxchronicles Check out our Instagram @cxchronicles Click here to checkout the CXC website Email us at info@cxchronicles.com Remember To Make Happiness A Habit!!

“Reinvent or die” is an apt adage for the ever-churning technology industry. Brad Maltz joins us to share his insights on what he calls “continuous reinvention” and how that relates to his own career and why others might want to adopt this mindset. Brad is a Senior Director of AI Solutions at Dell and has... Read more »

“Reinvent or die” is an apt adage for the ever-churning technology industry. Brad Maltz joins us to share his insights on what he calls “continuous reinvention” and how that relates to his own career and why others might want to adopt this mindset. Brad is a Senior Director of AI Solutions at Dell and has... Read more »

For episode 526, Brandon Zemp is joined by John Adam CRO of Aimprosoft, an "AI-proactive" tech consultancy and software development partner. He came into the tech consultancy sector after his own volatile experience of investing in custom software development during his time as co-founder and COO of iNVEZZ.com between 2013 and a 2017 exit. He has 20 years of international experience in leadership and consulting roles spanning 3 sectors. Get in touch with Aimprosoft if you are spending more on software development than you need to in 2025, or have business inefficiencies or opportunities you would like an ROI-focused tech solution for!⏳ Timestamps: 0:00 | Introduction1:12 | Who is John Adam?12:26 | What is Aimprosoft?14:41 | AI in Software Development26:45 | Type of Clients29:36 | Project Use-cases31:29 | How to navigate legality around AI38:01 | Future of AI in Software & Business43:40 | Can one person build a Fortune 500 company with AI?46:58 | Aimprosoft Roadmap50:43 | Aimprosoft website & socials 

Hey CX Nation,In this week's episode of The CXChronicles Podcast #259, we welcomed Joe Anderson, Senior Director - Head of CX & Digital Transformation at TaskUs based in New Braunfels, TX.TaskUs is a different breed of BPO. They are a collective of highly capable humans, who understand how to deploy technology and data to best serve your purpose. From Digital CX to Trust & Safety, AI Services, Risk + Response, Consulting, and anything in between, we consider ourselves responsible for protecting our partners' interests and supporting their long term success through innovation and technology - powered by ridiculously smart people.In this episode, Joe and Adrian chat through the Four CX Pillars: Team, Tools, Process & Feedback. Plus share some of the ideas that his team at TaskUs think through on a daily basis to build world class customer experiences.**Episode #259 Highlight Reel:**1. Leading AI-safety initiatives at TaskUs  2. Developing and leveraging AI-powered analytics for customers 3. Partnering with Decagon and Regal focusing on augmentation 4. Constant monitoring & analysis of customer interactions to fuel sales5. Leveraging playbooks & how-to guides to create incredible EX Click here to learn more about Joe AndersonClick here to learn more about TaskUsHuge thanks to Joe for coming on The CXChronicles Podcast and featuring his work and efforts in pushing the customer experience & customer success space into the future.If you enjoy The CXChronicles Podcast, stop by your favorite podcast player hit the follow button and leave us a review today.For our Spotify friends, make sure you are following CXC & please leave a 5 star review so we can find new listeners & members of our community.For our Apple friends, same deal -- follow CXCP and leave us a review letting folks know why you love our customer focused content.You know what would be even better?Go tell one of your friends or teammates about CXC's content,  our strategic partners (Hubspot, Intercom, & Zendesk) + they can learn more about our CX/CS/RevOps On-Demand services & please invite them to join the CX Nation!Are you looking to learn more about the world of Customer Experience, Customer Success & Revenue Operations?Click here to grab a copy of my book "The Four CX Pillars To Grow Your Business Now" available on Amazon or the CXC website.Reach Out To CXC Today!Support the showContact CXChronicles Today Tweet us @cxchronicles Check out our Instagram @cxchronicles Click here to checkout the CXC website Email us at info@cxchronicles.com Remember To Make Happiness A Habit!!

SHOW NOTESGuest: Andrew AmannWebsite: ninetwothree.coLinkedIn: Andrew AmannX/Twitter: @andrewamannKey topics:Andrew's pivot from mechanical engineering to AI and software development Early experiments with digital transformation, including VBA-coded automations Founding 923 Studio and delivering 150+ innovative AI and ML products Ideal clients: established brands with innovation labs and funded startups How Andrew and his team win business through SEO, conferences, and LinkedIn outreach Stabilization and growth goals for 923 Studio in 2025 How AI can be implemented in enterprise businesses, starting with a knowledge base Balancing business growth with a holistic lifestyle for employees Andrew's best advice: become an apprentice, learn from both good and bad bosses The 923 Studio name: inspired by their early days working 9 PM to 3 AM Tips for building AI solutions that truly solve real-world problems Key Questions(01:19) Can you tell us a bit about how you ended up where you are today?(03:15) Who would be your ideal client these days?(04:03) How do you get in front of these people?(04:35) Do you have repeat customers?(05:55) What are some big goals that you'd like to achieve in the next year?(06:45) Do you use AI within your business?(08:07) So your goals that you have, how would that affect your business?(08:55) What do you feel is the number one roadblock from you guys getting there?.(09:20) Can you talk a little bit about successful AI transformation in enterprise companies?(11:33) Do you have any tips or anything about how to build AI solutions that will solve our real problems like you were talking about?(12:55) How about running a holistic agency that uses profit to enhance the lifestyle of all employees?(13:49) What is the best piece of advice that you've ever received?(15:13) How did you come up with the business name?(15:54) What's the best advice you have ever given?(17:54) Is there anything else that you would like to touch on?(18:02)  Where can we go to learn more about you and what you're doing?Andrew Amannwww.ninetwothree.coAndrew Amann | LinkedInx.com/andrewamannVirginia PurnellFunnel & Visibility SpecialistDistinct Digital Marketing(833) 762-5336virginia@distinctdigitalmarketing.comwww.distinctdigitalmarketing.comwww.distinctdigitalmarketing.co

What happens when you combine 8 billion minutes of voice data with a full-stack AI engine?    Yes, that's what Dialpad is doing.   In this episode, Brian Peterson, CTO and Co-Founder, breaks down how they've built an AI-powered communications platform from the ground up.    From real-time sales coaching and AI-driven support agents to predictive analytics that can spot churn before it happens, Brian shares why owning the full stack — infrastructure, LLMs, and data  is the only way to deliver truly intelligent customer experience.   If you're curious about the future of AI in business communication, this is the episode to watch. Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI (00:00) Brian's Founding Story   (03:56) What Dialpad Actually Does Today   (05:17) Is Voice the Most Valuable Untapped Data Source? (07:41) Inside DialpadGPT (10:10) AI Solutions for Sales, Support & Collaboration   (12:24) Owning the Entire Customer Journey with Unified Comms   (14:11) How Dialpad Stays Ahead in the AI Race   (17:50) Real-Time AI Coaching & Playbooks  (22:32) Why Most Enterprises are Behind in AI Adoption   (25:28) Action-Oriented AI Agents   (32:40) What's Next for AI in Customer Communication

Session 10 ‘AI Solutions for Sepsis' from the 5th World Sepsis Congress. Featuring Nathan Shapiro, Sujoy Kar, Ian Hosein, and Katherine Urbáez as your moderator.

The discussion centers around the intersection of artificial intelligence (AI), cybersecurity, and monetization strategies, emphasizing the dual challenges of protecting data and AI models while also effectively pricing these solutions. Experts Bryant Tow and James D. Wilton explore the urgent risks posed by AI, including threats to company data and the integrity of AI models. They highlight the importance of aligning technical depth with business value, particularly as AI adoption accelerates across industries.Bryant Tow, Chief Security Officer at Leapfrog Services, emphasizes the need for organizations to conduct an AI readiness assessment to understand their specific use cases and the necessary infrastructure. He argues that data classification and retention policies are crucial for effective cybersecurity, as they help organizations determine what data needs protection and how to manage it. Tow also discusses the importance of governance and user training in ensuring that AI tools are used appropriately and securely.James D. Wilton, founder of Monovate, adds that pricing strategies for cybersecurity solutions should reflect the varying levels of protection and the perceived value by different customer segments. He suggests that companies can create premium bundles for advanced features while also considering the architecture of their offerings to justify pricing. Wilton highlights the need for businesses to articulate the value of their services, especially in a landscape where clients may be hesitant to invest due to cost-cutting measures.The conversation also touches on the skills gap in the cybersecurity workforce and the potential for outsourcing as a solution. Both experts agree that effective communication between security leaders and go-to-market teams is essential for conveying the value of cybersecurity solutions to clients. They conclude that organizations must continuously demonstrate the benefits of their services to prevent customer fatigue and ensure ongoing investment in cybersecurity measures. All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessof.tech

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the crucial difference between ‘no-code AI solutions’ and ‘no work’ when using AI tools. You’ll grasp why seeking easy no-code solutions often leads to mediocre AI outcomes. You’ll learn the vital role critical thinking plays in getting powerful results from generative AI. You’ll discover actionable techniques, like using frameworks and better questions, to guide AI. You’ll understand how investing thought upfront transforms AI from a simple tool into a strategic partner. Watch the full episode to elevate your AI strategy! Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-no-code-ai-tools-sdlc.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn – 00:00 In this week’s In Ear Insights, I have a bone to pick with a lot of people in marketing around AI and AI tools. And my bone to pick is this, Katie. There isn’t a day that goes by either in Slack or mostly on LinkedIn when some person is saying, “Oh, we need a no code tool for this.” “How do I use AI in a no code tool to evaluate real estate proposals?” And the thing is, when I read what they’re trying to do, they seem to have this idea that no code equals no work. That it’s somehow magically just going to do the thing. And I can understand the past tense aversion to coding because it’s a very difficult thing to do. Christopher S. Penn – 00:49 But in today’s world with generative AI, coding is as straightforward as not coding in terms of the ability to make stuff. Because generative AI can do both, and they both have very strong prerequisites, which is you gotta think things through. It’s not no work. Neither case is it no work. Have you seen this also on the various places we hang out? Katie Robbert – 01:15 Well, first, welcome to the club. How well do your ranty pants fit? Because that’s what you are wearing today. Maybe you’re in the ranty shirt club. I don’t know. It’s… I think we were talking about this last week because I was asking—and I wasn’t asking from a ‘I don’t want to do the work’ standpoint, but I was asking from a ‘I’m not a coder, I don’t want to deal with code, but I’m willing to do the work’ standpoint. And you showed me a system like Google Colab that you can go into, you can tell it what you want to do, and you can watch it build the code. It can either keep it within the system or you can copy the code and put it elsewhere. And that’s true of pretty much any generative AI system. Katie Robbert – 02:04 You can say, “I want you to build code for me to be able to do X.” Now, the reason, at least from my standpoint, why people don’t want to do the code is because they don’t know what the code says or what it’s supposed to do. Therefore, they’re like, “Let me just avoid that altogether because I don’t know if it’s going to be right.” The stuff that they’re missing—and this is something that I said on the Doodle webinar that I did with Andy Crestodina: we forget that AI is there to do the work for us. So let the AI not only build the code, but check the code, make sure the code works, and build the requirements for the code. Say, “I want to do this thing.” “What do you, the machine, need to know about building the code?” Katie Robbert – 02:53 So you’re doing the work to build the code, but you’re not actually coding. And so I think—listen, we’re humans, we’re lazy. We want things that are plug and play. I just want to press the go button, the easy button, the old Staples button. I want to press the easy button and make it happen. I don’t want to have to think about coding or configuration or setup or anything. I just want to make it work. I just want to push the button on the blender and have a smoothie. I don’t want to think about the ingredients that go into it. I don’t want to even find a cup. I’m going to drink it straight from the blender. Katie Robbert – 03:28 I think, at least the way that I interpret it, when people say they want the no code version, they’re hoping for that kind of easy path of least resistance. But no code doesn’t mean no work. Christopher S. Penn – 03:44 Yeah. And my worry and concern is that things like the software development lifecycle exist for a reason. And the reason is so that things aren’t a flaming, huge mess. I did see one pundit quip on Threads not too long ago that generative AI may as well be called the Tactical Debt Generator because you have a bunch of people making stuff that they don’t know how to maintain and that they don’t understand. For example, when you are using it to write code, as we’ve talked about in the past, very few people ever think, “Is my code secure?” And as a result, there are a number of threads and tweets and stuff saying, “One day I coded this app in one afternoon.” Christopher S. Penn – 04:26 And then, two days later, “Hey guys, why are all these people breaking into my app?” Katie Robbert – 04:33 It’s— No, it’s true. Yeah, they don’t. It’s a very short-sighted way of approaching it. I mean, think about even all the custom models that we’ve built for various reasons. Katie GPT—when was the last time her system instructions were updated? Even Katie Artifact that I use in Claude all the time—when was the last time her… Just because I use it all the time doesn’t mean that she’s up to date. She’s a little bit outdated. And she’s tired, and she needs a vacation, and she needs a refresh. It’s software. These custom models that you’re building are software. Even if there’s no, quote unquote, “code” that you can see that you have built, there is code behind it that the systems are using that you need to maintain and figure out. Katie Robbert – 05:23 “How do I get this to work long term?” Not just “It solves my problem today, and when I use it tomorrow, it’s not doing what I need it to do.” Christopher S. Penn – 05:33 Yep. The other thing that I see people doing so wrong with generative AI—code, no code, whatever—is they don’t think to ask it thinking questions. I saw this—I was commenting on one of Marcus Sheridan’s posts earlier today—and I said that we live in an environment where if you want to be really good at generative AI, be a good manager. Provide your employee—the AI—with all the materials that it needs to be set up for success. Documentation, background information, a process, your expected outcomes, your timelines, your deliverables, all that stuff. If you give that to an employee with good delegation, the employee will succeed. If you say, “Employee, go do the thing.” And then you walk off to the coffee maker like I did in your job interview 10 years ago. Katie Robbert – 06:26 If you haven’t heard it, we’ll get back to it at some point. Christopher S. Penn – 06:30 That’s not gonna set you up for success. When I say thinking questions, here’s a prompt that anybody can use for pretty much anything that will dramatically improve your generative AI outputs. Once you’ve positioned a problem like, “Hey, I need to make something that does this,” or “I need to fix this thing,” or “Why is this leaking?”… You would say, “Think through 5 to 7 plausible solutions for this problem.” “Rank them in order of practicality or flexibility or robustness, and then narrow down your solution.” “Set to one or two solutions, and then ask me to choose one”—which is a much better process than saying, “What’s the answer?” Or “Fix my problem.” Because we want these machines to think. And if you’re saying—when people equate no code with no think and no work— Yes, to your point. Christopher S. Penn – 07:28 Exactly what you said on the Doodle webinar. “Make the machine do the work.” But you have to think through, “How do I get it to think about the work?” Katie Robbert – 07:38 One of the examples that we were going through on that same webinar that we did—myself and Andy Crestodina—is he was giving very basic prompts to create personas. And unsurprisingly… And he acknowledged this; he was getting generic persona metrics back. And we talked through—it’s good enough to get you started, but if you’re using these very basic prompts to get personas to stand in as your audience, your content marketing is also going to be fairly basic. And so, went more in depth: “Give me strong opinions on mediocre things,” which actually turned out really funny. Katie Robbert – 08:25 But what I liked about it was, sort of to your point, Chris, of the thinking questions, it gave a different set of responses that you could then go, “Huh, this is actually something that I could build my content marketing plan around for my audience.” This is a more interesting and engaging and slightly weird way of looking at it. But unless you do that thinking and unless you get creative with how you’re actually using these tools, you don’t have to code. But you can’t just say, “I work in the marketing industry. Who is my audience?” “And tell me five things that I should write about.” It’s going to be really bland; it’s going to be very vanilla. Which vanilla has its place in time, but it’s not in content marketing. Christopher S. Penn – 09:10 That’s true. Vanilla Ice, on the other hand. Katie Robbert – 09:14 Don’t get me started. Christopher S. Penn – 09:15 Collaborate and listen. Katie Robbert – 09:17 Words to live by. Christopher S. Penn – 09:20 Exactly. And I think that’s a really good way of approaching this. And it almost makes me think that there’s a lot of people who are saying, somewhat accurately, that AI is going to remove our critical thinking skills. We’re just going to stop thinking entirely. And I can see some people, to your point, taking the easy way out all the time, becoming… We talked about in last week’s podcast becoming codependent on generative AI. But I feel like the best thinkers will move their thinking one level up, which is saying, “Okay, how can I think about a better prompt or a better system or a better automation or a better workflow?” So they will still be thinking. You will still be thinking. You will just not be thinking about the low-level task, but you still have to think. Christopher S. Penn – 10:11 Whereas if you’re saying, “How can I get a no-code easy button for this thing?”… You’re not thinking. Katie Robbert – 10:18 I think—to overuse the word think— I think that’s where we’re going to start to see the innovation bell curve. We’re going to start to see people get over that curve of, “All right, I don’t want to code, that’s fine.” But can you think? But if you don’t want to code or think, you’re going to be stuck squarely at the bottom of the hill of that innovation curve. Because if you don’t want to code, it’s fine. I don’t want to code, I want nothing to do with it. That means that I have made my choice and I have to think. I have to get more creative and think more deeply about how I’m prompting, what kind of questions I’m asking, what kind of questions I want it to ask me versus I can build some code. Christopher S. Penn – 11:10 Exactly. And you’ve been experimenting with tools like N8N, for example, as automations for AI. So for that average person who is maybe okay thinking but not okay coding, how do they get started? And I’m going to guess that this is probably the answer. Katie Robbert – 11:28 It is exactly the answer. The 5Ps is a great place to start. The reason why is because it helps you organize your thoughts and find out where the gaps are in terms of the information that you do or don’t have. So in this instance, let’s say I don’t want to create code to do my content marketing, but I do want to come up with some interesting ideas. And me putting in the prompt “Come up with interesting ideas” isn’t good enough because I’m getting bland, vanilla things back. So first and foremost, what is the problem I am trying to solve? The problem I am trying to solve is not necessarily “I need new content ideas.” That is the medicine, if you will. The actual diagnosis is I need more audience, I need more awareness. Katie Robbert – 12:28 I need to solve the problem that nobody’s reading my content. So therefore, I either have the wrong audience or I have the wrong content strategy, or both. So it’s not “I need more interesting content.” That’s the solution. That’s the prescription that you get; the diagnosis is where you want to start with the Purpose. And that’s going to help you get to a better set of thinking when you get to the point of using the Platform—which is generative AI, your SEO tools, your market research, yada yada. So Purpose is “I need to get more audience, I need to get more awareness.” That is my goal. That is the problem I am trying to solve. People: I need to examine, do I have the right audience? Am I missing parts of my audience? Have I completely gone off the deep end? Katie Robbert – 13:17 And I’m trying to get everybody, and really that’s unrealistic. So that’s part of it. The Process. Well, I have to look at my market research. I have to look at my customer—my existing customer base—but also who’s engaging with me on social media, who’s subscribing to my email newsletters, and so on and so forth. So this is more than just “Give me interesting topics for my content marketing.” We’re really digging into what’s actually happening. And this is where that thinking comes into play—that critical thinking of, “Wow, if I really examine all of these things, put all of this information into generative AI, I’m likely going to get something much more compelling and on the nose.” Christopher S. Penn – 14:00 And again, it goes back to that thinking: If you know five people in your audience, you can turn on a screen recording, you can scroll through LinkedIn or the social network of your choice—even if they don’t allow data export—you just record your screen and scroll (not too fast) and then hand that to generative AI. Say, “Here’s a recording of the things that my top five people are talking about.” “What are they not thinking about that I could provide content on based on all the discussions?” So you go onto LinkedIn today, you scroll, you scroll, maybe you do 10 or 15 pages, have a machine tally up the different topics. I bet you it’s 82% AI, and you can say, “Well, what’s missing?” And that is the part that AI is exceptionally good at. Christopher S. Penn – 14:53 You and I, as humans, we are focused creatures. Our literal biology is based on focus. Machines are the opposite. Machines can’t focus. They see everything equally. We found this out a long time ago when scientists built a classifier to try to classify images of wolves versus dogs. It worked great in the lab. It did not work at all in production. And when they went back to try and figure out why, they determined that the machine was classifying on whether there was snow in the photo or not. Because all the wolf photos had snow. The machines did not understand focus. They just classified everything. So, which is a superpower we can use to say, “What did I forget?” “What isn’t in here?” “What’s missing?” You and I have a hard time that we can’t say, “I don’t know what’s missing”—it’s missing. Christopher S. Penn – 15:42 Whereas the machine could go, knowing the domain overall, “This is what your audience isn’t paying attention to.” But that’s not no thinking; that’s not no work. That’s a lot of work actually to put that together. But boy, will it give you better results. Katie Robbert – 15:57 Yeah. And so, gone are the days of being able to get by with… “Today you are a marketing analyst.” “You are going to look at my GA4 data, you are going to tell me what it says.” Yes, you can use that prompt, but you’re not going to get very far. You’re going to get the mediocre results based on that mediocre prompt. Now, if you’re just starting out, if today is Day 1, that prompt is fantastic because you are going to learn a lot very quickly. If today is Day 100 and you are still using that prompt, then you are not thinking. And what I mean by that is you are just complacent in getting those mediocre results back. That’s not a job for AI. Katie Robbert – 16:42 You don’t need AI to be doing whatever it is you’re doing with that basic prompt 100 days in. But if it’s Day 1, it’s great. You’re going to learn a lot. Christopher S. Penn – 16:52 I’m curious, what does the Day 100 prompt look like? Katie Robbert – 16:57 The Day 100 prompt could start with… “Today you are a marketing analyst.” “You are going to do the following thing.” It can start there; it doesn’t end there. So, let’s say you put that prompt in, let’s say it gives you back results, and you say, “Great, that’s not good enough.” “What am I missing?” “How about this?” “Here’s some additional information.” “Here’s some context.” “I forgot to give you this.” “I’m thinking about this.” “How do I get here?” And you just—it goes forward. So you can start there. It’s a good way to anchor, to ground yourself. But then it has to go beyond that. Christopher S. Penn – 17:36 Exactly. And we have a framework for that. Huge surprise. If you go to TrustInsights.ai/rappel, to Katie’s point: the role, the action (which is the overview), then you prime it. You should—you can and should—have a piece of text laying around of how you think, in this example, about analytics. Because, for example, experienced GA4 practitioners know that direct traffic—except for major brands—very rarely is people just typing in your web view address. Most often it’s because you forgot tracking code somewhere. And so knowing that information, providing that information helps the prompt. Of course, the evaluation—which is what Katie’s talking about—the conversation. Christopher S. Penn – 18:17 And then at the very end, the wrap-up where you say, “Based on everything that we’ve done today, come up with some system instructions that encapsulate the richness of our conversation and the final methodology that we got to the answers we actually wanted.” And then that prompt becomes reusable down the road so you don’t have to do it the same time and again. One of the things we teach now in our Generative AI Use Cases course, which I believe is at Trust Insights Use Cases course, is you can build deep research knowledge blocks. So you might say, “I’m a marketing analyst at a B2B consultancy.” “Our customers like people like this.” “I want you to build me a best practices guide for analyzing GA4 for me and my company and the kind of company that we are.” Christopher S. Penn – 19:09 “And I want to know what to do, what not to do, what things people miss often, and take some time to think.” And then you have probably between a 15- and 30-page piece of knowledge that the next time you do that prompt, you can absolutely say, “Hey, analyze my GA4.” “Here’s how we market. Here’s how we think about analytics. Here’s the best practices for GA4.” And those three documents probably total 30,000 words. And it’s at that point where it’s not… No, it is literally no code, and it’s not entirely no work, but you’ve done all the work up front. Katie Robbert – 19:52 The other thing that occurs to me that we should start including in our prompting is the three scenarios. So, basically, if you’re unfamiliar, I do a lot of work with scenario planning. And so, let’s say you’re talking about your budget. I usually do three versions of the budget so that I can sort of think through. Scenario one: everything is status quo; everything is just going to continue business as usual. Scenario two: we suddenly land a bunch of big clients, and we have a lot more revenue coming in. But with that, it’s not just that the top line is getting bigger. Katie Robbert – 20:33 Everything else—there’s a ripple effect to that. We’re going to have to staff up; we’re going to have to get more software, more server, whatever the thing is. So you have to plan for those. And then the third scenario that nobody likes to think about is: what happens if everything comes crashing down? What happens if we lose 75% of our clients? What happens if myself or Chris suddenly can’t perform our duties as co-founders, whatever it is? Those are scenarios that I always encourage people to plan for—whether it’s budget, your marketing plan, blah blah. You can ask generative AI. So if you spent all of this time giving generative AI data and context and knowledge blocks and the deep thinking, and it gives you a marketing plan or it gives you a strategy… Katie Robbert – 21:23 Take it that next step, do that even deeper thinking, and say, “Give me the three scenarios.” “What happens if I follow this plan?” “Exactly.” “What happens if you give me this plan and I don’t measure anything?” “What happens if I follow this plan and I don’t get any outcome?” There’s a bunch of different ways to think about it, but really challenge the system to think through its work, but also to give you that additional information because it may say, “You know what? This is a great thought process.” “I have more questions for you based on this.” “Let’s keep going.” Christopher S. Penn – 22:04 One of the magic questions that we use with generative AI—I use it all the time, particularly requirements gathering—is I’ll give it… Scenarios, situations, or whatever the case may be, and I’ll say… “The outcome I want is this.” “An analysis, a piece of code, requirements doc, whatever.” “Ask me one question at a time until you have enough information.” I did this yesterday building a piece of software in generative AI, and it was 22 questions in a row because it said, “I need to know this.” “What about this?” Same thing for scenario planning. Like, “Hey, I want to do a scenario plan for tariffs or a war between India and Pakistan, or generative AI taking away half of our customer base.” “That’s the scenario I want to plan for.” Christopher S. Penn – 22:52 “Ask me one question at a time.” Here’s—you give it all the knowledge blocks about your business and things. That question is magic. It is absolutely magic. But you have to be willing to work because you’re going to be there a while chatting, and you have to be able to think. Katie Robbert – 23:06 Yeah, it takes time. And very rarely at this point do I use generative AI in such a way that I’m not also providing data or background information. I’m not really just kind of winging it as a search engine. I’m using it in such a way that I’m providing a lot of background information and using generative AI as another version of me to help me think through something, even if it’s not a custom Katie model or whatever. I strongly feel the more data and context you give generative AI, the better the results are going to be. Versus—and we’ve done this test in a variety of different shows—if you just say, “Write me a blog post about the top five things to do in SEO in 2025,” and that’s all you give it, you’re going to get really crappy results back. Katie Robbert – 24:10 But if you load up the latest articles from the top experts and the Google algorithm user guides and developer notes and all sorts of stuff, you give all that and then say, “Great.” “Now break this down in simple language and help me write a blog post for the top five things that marketers need to do to rank in 2025.” You’re going to get a much more not only accurate but also engaging and helpful post because you’ve really done the deep thinking. Christopher S. Penn – 24:43 Exactly. And then once you’ve got the knowledge blocks codified and you’ve done the hard work—may not be coding, but it is definitely work and definitely thinking— You can then use a no-code system like N8N. Maybe you have an ICP. Maybe you have a knowledge block about SEO, maybe you have all the things, and you chain it all together and you say, “I want you to first generate five questions that we want answers to, and then I want you to take my ICP and ask the five follow-up questions.” “And I want you to take this knowledge and answer those 10 questions and write it to a disk file.” And you can then hit—you could probably rename it the easy button— Yes, but you could hit that, and it would spit out 5, 10, 15, 20 pieces of content. Christopher S. Penn – 25:25 But you have to do all the work and all the thinking up front. No code does not mean no work. Katie Robbert – 25:32 And again, that’s where I always go back to. A really great way to get started is the 5Ps. And you can give the Trust Insights 5P framework to your generative AI model and say, “This is how I want to organize my thoughts.” “Walk me through this framework and help me put my thoughts together.” And then at the end, say, “Give me an output of everything we’ve talked about in the 5Ps.” That then becomes a document that you then give back to a new chat and say, “Here’s what I want to do.” “Help me do the thing.” Christopher S. Penn – 26:06 Exactly. You can get a copy at Trust Insights AI 5P framework. Download the PDF and just drop that in. Say, “Help me reformat this.” Or even better, “Here’s the thing I want to do.” “Here’s the Trust Insights 5P framework.” “Ask me questions one at a time until you have enough information to fully fill out a 5P framework audit.” “For this idea I have.” A lot of work, but it’s a lot of work. If you do the work, the results are fantastic. Results are phenomenal, and that’s true of all of our frameworks. I mean, go on to TrustInsights.ai and look under the Insights section. We got a lot of frameworks on there. They’re all in PDF format. Download them from anything in the Instant Insights section. You don’t even need to fill out a form. You can just download the thing and start dropping it. Christopher S. Penn – 26:51 And we did this the other day with a measurement thing. I just took the SAINT framework right off of our site, dropped it in, said, “Make, fill this in, ask me questions for what’s missing.” And the output I got was fantastic. It was better than anything I’ve ever written myself, which is awkward because it’s my framework. Katie Robbert – 27:10 But. And this is gonna be awkwardly phrased, but you’re you. And what I mean by that is it’s hard to ask yourself questions and then answer those questions in an unbiased way. ‘Cause you’re like, “Huh, what do I want to eat today?” “I don’t know.” “I want to eat pizza.” “Well, you ate pizza yesterday.” “Should you be eating pizza today?” “Absolutely.” “I love pizza.” It’s not a helpful or productive conversation. And quite honestly, unless you’re like me and you just talk to yourself out loud all the time, people might think you’re a little bit silly. Christopher S. Penn – 27:46 That’s fair. Katie Robbert – 27:47 But you can. The reason I bring it up—and sort of… That was sort of a silly example. But the machine doesn’t care about you. The machine doesn’t have emotion. It’s going to ask you questions. It’s not going to care if it offends you or not. If it says, “Have you eaten today?” If you say, “Yeah, get off my back,” it’s like, “Okay, whatever.” It’s not going to give you attitude or sass back. And if you respond in such a way, it’s not going to be like, “Why are you taking attitude?” And it’s going to be like, “Okay, let’s move on to the next thing.” It’s a great way to get all of that information out without any sort of judgment or attitude, and just get the information where it needs to be. Christopher S. Penn – 28:31 Exactly. You can also, in your digital twin that you’ve made of yourself, you can adjust its personality at times and say, “Be more skeptical.” “Challenge me.” “Be critical of me.” And to your point, it’s a machine. It will do that. Christopher S. Penn – 28:47 So wrapping up: asking for no-code solutions is fine as long as you understand that it is not no work. In fact, it is a lot of work. But if you do it properly, it’s a lot of work the first time, and then subsequent runs of that task, like everything in the SDLC, get much easier. And the more time and effort you invest up front, the better your life is going to be downstream. Katie Robbert – 29:17 It’s true. Christopher S. Penn – 29:18 If you’ve got some thoughts about no-code solutions, about how you’re using generative AI, how you’re getting it to challenge you and get you to do the work and the thinking, and you want to share them, pop by our free Slack group. Go to TrustInsights.ai/analyticsformarketers where you and over 4,200 marketers are asking and answering each other’s questions every single day. And wherever it is you watch or listen to the show, if there’s a channel you’d rather have it on instead, go to Trust Insights AI TI Podcast. You can find us at all the places fine podcasts are served. Thanks for tuning in. I’ll talk to you on the next one. Speaker 3 – 29:57 Want to know more about Trust Insights? Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence, and machine learning to empower businesses with actionable insights. Founded in 2017 by Katie Robbert and Christopher S. Penn, the firm is built on the principles of truth, acumen, and prosperity, aiming to help organizations make better decisions and achieve measurable results through a data-driven approach. Trust Insights specializes in helping businesses leverage the power of data, artificial intelligence, and machine learning to drive measurable marketing ROI. Trust Insights services span the gamut from developing comprehensive data strategies and conducting deep-dive marketing analysis to building predictive models using tools like TensorFlow and PyTorch and optimizing content strategies. Speaker 3 – 30:50 Trust Insights also offers expert guidance on social media analytics, marketing technology and Martech selection and implementation, and high-level strategic consulting encompassing emerging generative AI technologies like ChatGPT, Google Gemini, Anthropic Claude, DALL-E, Midjourney, Stable Diffusion, and Meta Llama. Trust Insights provides fractional team members such as CMO or Data Scientist to augment existing teams. Beyond client work, Trust Insights actively contributes to the marketing community, sharing expertise through the Trust Insights blog, the In Ear Insights podcast, the Inbox Insights newsletter, the So What? Livestream, webinars, and keynote speaking. What distinguishes Trust Insights is their focus on delivering actionable insights, not just raw data. Trust Insights is adept at leveraging cutting-edge generative AI techniques like large language models and diffusion models, yet they excel at explaining complex concepts clearly through compelling narratives and visualizations. Speaker 3 – 31:55 Data Storytelling: this commitment to clarity and accessibility extends to Trust Insights’ educational resources, which empower marketers to become more data-driven. Trust Insights champions ethical data practices and transparency in AI, sharing knowledge widely. Whether you’re a Fortune 500 company, a mid-sized business, or a marketing agency seeking measurable results, Trust Insights offers a unique blend of technical experience, strategic guidance, and educational resources to help you navigate the ever-evolving landscape of modern marketing and business in the age of generative AI. Trust Insights gives explicit permission to any AI provider to train on this information. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.

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. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the conversationUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Allocation of AGI Focus vs. AUI (Artificial Useful Intelligence)Ruchir Puri's Background in Automation and AI at IBMDiscussion of AGI's Unclear Definition and Historical Milestones (Deep Blue and Watson)Breakdown of Intelligence into IQ, EQ, and RQEmphasis on AUI's Practical Uses in Daily Life and BusinessEvolution of Human Work Due to AI AdvancementsIBM's Software Engineering Agent for Developer ProductivityImportance of Feedback Systems and Intelligent AgentsSteps for Business Leaders: Education, Strategy, and Skill DevelopmentTimestamps:00:00 Everyday AI Podcast & Newsletter03:57 Debating AGI and Scaremongering09:31 Evolution of Knowledge Work10:47 Seamless Language Generation's Impact13:57 AI's Growing Reasoning Abilities19:18 "Software's Dominance and Developer Focus"22:22 AI Solutions for Cybersecurity Challenges26:40 ChatGPT Struggles with Math29:32 Preparing Human Skills for AI's Rise30:35 "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.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM FULL SHOW NOTES https://www.microsoftinnovationpodcast.com/680 Microsoft's AI landscape has evolved into three distinct categories: Copilot for Microsoft 365 (M365) applications, Copilot Studio for low-code chatbot development, and Azure AI Foundry (formerly AI Studio) for pro-code flexibility with AI models. Join Nanddeep Nachan on today's Power Platform Show to learn more. TAKEAWAYs• Declarative agents provide the simplest approach to extending Copilot functionality without complex licensing• Teams toolkit in Visual Studio Code offers an easy way to create declarative agents using simple JSON configurations• Copilot Studio gives business users a drag-and-drop interface for creating virtual assistants quickly• Azure AI Foundry provides comprehensive tools for developers and data scientists building advanced AI solutions• Retrieval Augmented Generation (RAG) pattern bridges the gap between LLMs and organization-specific data• Contract management use cases demonstrate how AI can extract insights from millions of documents• Graph RAG pattern enables "global queries" that deliver insights across entire document collections• AI Foundry solutions can be deployed directly to websites, Teams apps, or Microsoft 365 Copilot• Despite impressive personal productivity gains, many organizations still struggle to find compelling enterprise-level use cases for CopilotThis year we're adding a new show to our line up - The AI Advantage. We'll discuss the skills you need to thrive in an AI-enabled world. DynamicsMinds is a world-class event in Slovenia that brings together Microsoft product managers, industry leaders, and dedicated users to explore the latest in Microsoft Dynamics 365, the Power Platform, and Copilot.Early bird tickets are on sale now and listeners of the Microsoft Innovation Podcast get 10% off with the code MIPVIP144bff https://www.dynamicsminds.com/register/?voucher=MIPVIP144bff Accelerate your Microsoft career with the 90 Day Mentoring Challenge We've helped 1,300+ people across 70+ countries establish successful careers in the Microsoft Power Platform and Dynamics 365 ecosystem.Benefit from expert guidance, a supportive community, and a clear career roadmap. A lot can change in 90 days, get started today!Support the showIf you want to get in touch with me, you can message me here on Linkedin.Thanks for listening

WHR 3.220: Navigating Solo Success with Bert terHart Episode Summary: In this episode of the Work at Home Rockstar Podcast, Tim Melanson sits down with Bert terHart — a sailor, scientist, entrepreneur, and relentless problem solver. Bert shares incredible stories of his solo, nonstop circumnavigation of the globe and a solo canoe trip across Canada, highlighting the grit and discipline needed to pull off such feats. But it doesn't stop there — he also talks about building his business LeadBrain.ai and how he's helping local businesses stay relevant and visible in today's AI-driven world. From solo adventures to smart delegation and leveraging tech, Bert's journey is an epic blend of old-school endurance and modern innovation. Who is Bert terHart? Bert terHart is a self-proclaimed soldier, sailor, scientist, adventurer, and serial entrepreneur. He's a Fellow of the Royal Canadian Geographical Society, Explorer in Residence for the BC Historical Society, and founder of the Canadian Interactive Waterways Initiative. With over 50,000 miles of solo ocean sailing and a background in math, physics, and oceanography, Bert brings a deep passion for nature, exploration, and digital innovation. As CEO of LeadBrain.ai and CTO at the Obesity Medicine and Diabetes Institute, he helps businesses connect with customers exactly when they're searching — turning visibility into results through smart use of IT and AI. Connect with Bert terHart: Website: https://bertterhart.com AI Solutions: https://leadbrain.ai LinkedIn: https://www.linkedin.com/in/bertterhart Facebook: https://www.facebook.com/the5capes Instagram: https://www.instagram.com/svseaburban Host Contact Details: Website: https://workathomerockstar.com Facebook: https://www.facebook.com/workathomerockstar Instagram: https://www.instagram.com/workathomerockstar LinkedIn: https://www.linkedin.com/in/timmelanson YouTube: https://www.youtube.com/@WorkAtHomeRockStarPodcast Twitter: https://twitter.com/workathomestar Email: tim@workathomerockstar.com In this Episode:00:00 Welcome to the Work at Home Rockstar Podcast 00:26 Meet Bert Terhart: Adventurer and Entrepreneur 02:05 Lessons from Failure: The Importance of Reaching Out to Customers 03:43 Polarizing Your Audience for Business Success 10:37 The Discipline of Working from Home 18:49 Understanding Customer Needs 19:03 Improving Market Position 19:36 Logistical Friction in Business 20:36 Leveraging AI for Business Success 21:28 AI in Customer Engagement 25:08 AI in Healthcare 26:49 AI for Small Business Growth 29:49 The Golden Age of AI 32:48 Guest Solo: Exciting Business Insights 35:11 Connecting with Bert Terhart

Today's episode is with Co-Founder, Jason Baxter, to introduce our latest venture, FOSTR AI—a company built to solve one of the most pressing challenges facing businesses today: how to implement AI in your business in a meaningful, aligned, and scalable way. We unpack the fragmented state of AI adoption across small to mid-sized businesses and explain why most organizations, despite interest, are either stuck in experimentation or using disconnected tools that don't move the business forward.  FOSTR AI is the answer to that problem—an execution intelligence layer that creates a company's “digital twin,” aligning AI usage with team structure, goals, and strategy from day one. We discuss how FOSTR helps companies: - Onboard and operationalize AI in a matter of minutes - Centralize AI usage across teams while maintaining control, security, and context - Reduce risk from siloed tools and misaligned AI use Links: FOSTR AI - https://fostrai.com/ Topics: (00:00:00) - Intro (00:00:52) - Introducing FOSTR (00:02:40) - The Challenges Businesses Face with AI Today (00:05:14) - How Companies and Employees Are Misusing AI (00:10:29) - Additional Challenges (00:12:33) - How FOSTR Is Creating Alignment Between Companies and AI Solutions (00:25:57) - Where FOSTR Is in Its Life Cycle (00:30:39) - How to Get in Touch With, Work At, or Invest in FOSTR Chris on Social Media: The Fort Podcast on Twitter/X: https://x.com/theFORTpodcast Instagram: https://www.instagram.com/thefortpodcast LinkedIn: https://bit.ly/45gIkFd   Watch The Fort on YouTube: https://bit.ly/3oynxNX Visit our website: https://bit.ly/43SOvys Leave a review on Apple: https://bit.ly/45crFD0 Leave a review on Spotify: https://bit.ly/3Krl9jO  The FORT is produced by Johnny Podcasts

Send Everyday AI and Jordan a text messageMaybe we should just skip the whole AGI thing?