Podcasts about ai solutions

To learn more about Breakthrough Academy, click here: https://trybta.com/EP288 When ChatGPT released in 2022, we all knew the start of a new era in tech was coming. But we couldn't possibly comprehend just how much our industry was about to change.Although robotics are a few years away from replacing field labor, pretty much every other area of a contracting business has been totally disrupted.Today, I've brought on DJ Carroll, a former contractor known for scaling home service companies through disciplined AI and automation, to share his opinions on where the industry is now, where it's headed, and the skills and concepts we HAVE to understand if we want our businesses to survive what he calls the next industrial revolution.This is not a philosophical conversation. DJ gives some real, actionable advice any contractor can implement in the next week.–Learn more about DJ Carroll: https://carroll.media/about/ 00:00-Intro04:12-Hype Versus Reality 08:28-AI Adoption & Memory Capacity 19:43-Marketing Use Cases 28:32-Building AI Ads34:50-Adopting Voice Services 40:17-Creating Company SOPs 45:23-Upcoming AI Advancements

What happens when an AI agent follows your documented process perfectly, but that process bears little resemblance to how decisions are actually made? In this episode, I speak with Bill Wilson, Executive Head of Data and AI Solutions at NTT DATA UK&I. Bill oversees AI globally for NTT DATA's public sector work, giving him a close view of how governments are using AI while trying to manage risk, accountability, public confidence, and constrained resources. Bill offers a refreshingly practical test for any proposed AI system: is it competent, and what is the worst thing that could go wrong? He describes this potential consequence as the system's "blast radius." An AI assistant helping somebody understand a grant application presents a very different level of risk from an agent making decisions that affect employment, justice, taxation, or access to public services. We also discuss why companies can make a mistake before deploying their first agent. Automating an inefficient process simply allows the organization to perform the wrong work faster. Bill argues that teams should examine complete workflows, identify where several AI capabilities could produce a measurable result, and remain prepared to redesign the process as they learn. Another major problem is tacit knowledge. Employees frequently make decisions using experience that was never written down. An agent trained solely on formal documentation may therefore understand the official process while missing how the work gets done in practice. Bill explains how targeted questions, behavioral traces, feedback, and supervised learning could capture some of that reasoning. Public sector AI provides several useful examples. Bill discusses systems that process volumes of information beyond human capacity, emergency response work in Tennessee, and case management applications that gather information before a human reviews it. In these situations, AI can reduce administrative work and waiting times while leaving consequential decisions with people. But human approval alone provides no guarantee. If employees lose direct experience of the work, they may eventually approve whatever the system recommends. Bill compares this with airline pilots maintaining manual flying skills and describes how known test cases can reveal when reviewers are becoming overly trusting. For CIOs deciding which AI pilots should reach production, the advice is equally direct: choose work with measurable returns, group related use cases where their combined effect can be seen, learn from a varied set of deployments, and avoid building something a software provider is about to include in an existing product. As AI agents gain access to external information, internal data, and operational tools, how should your organization decide what they may do alone and when a person must intervene? Listen to the conversation and share your thoughts with me.

“Slow is smooth, and smooth is fast.” In this Technology Reseller News podcast, Ben Prescott, Head of AI Solutions at Trace3, discusses why successful AI adoption depends on getting both the “first mile” and the “last mile” right. Trace3 is a technology and consulting organization that helps enterprises adopt new technologies and transform business operations. Prescott works within the company's digital consulting group, focusing specifically on AI strategy and implementation. The “first mile,” Prescott explains, is about definition: understanding what the organization is actually trying to accomplish with AI, where the opportunities are, and which business problems are worth solving. The “last mile” is about adoption. Once an organization has selected or built an AI solution, it still has to change workflows, educate users, drive adoption and demonstrate that the investment is creating value. “The first mile is about where and when AI can provide value,” Prescott says. “The last mile is about influencing change and actually squeezing the juice out of the investment.” Between those two points sits the technology itself—software, infrastructure, cloud services and increasingly AI-focused hardware. Prescott says infrastructure matters, but it should be connected to a clearly defined business objective. That discipline is becoming increasingly important as enterprises struggle with AI sprawl. Employees may already be experimenting with unsanctioned tools, while organizations are simultaneously evaluating multiple platforms, infrastructure investments and governance policies. Trace3 recommends that organizations identify core AI platforms, establish acceptable-use policies and create a structured process for evaluating employee and business demand. Prescott says the market has also shifted from experimentation toward measurable value. Organizations that rushed into AI investments are now asking harder questions about duplication, cost and return. “We're getting to the stage where value matters more than it did over the last couple of years,” he says. The approach applies across commercial enterprises, government, defense and other sectors. While security and regulatory requirements may vary, Prescott says the underlying discipline remains the same: define the problem, choose the right technology, drive adoption and measure the outcome. His advice to organizations beginning or expanding their AI programs is to resist the pressure to move too quickly. “Take a more methodical approach,” Prescott says. “Build the process, develop the muscle memory, and then you can move faster.” Visit Trace3.com to learn more.  

The Government Contracting Playbook: Leveraging Military Logistics, AI Solutions, and Public Sector Procurement with Kamar PerkinsIn a recent episode of The Thoughtful Entrepreneur Podcast, host Josh Elledge sat down with Kamar Perkins, an Army National Guard veteran and the Founder and President of Protech Consulting Group, to unpack the operational strategies required for small businesses and veteran founders to scale within the federal marketplace. Kamar, a former quartermaster officer and seasoned public sector growth architect, details how military leadership principles translate directly into technical entrepreneurship and government procurement execution. This conversation provides an essential, practical guide for B2B founders, defense contractors, and technology leaders looking to leverage artificial intelligence, navigate agile procurement shifts, secure set-aside certifications, and establish high-trust relationships across government agencies.The Public Sector Growth Architecture: Harnessing Military Operations, AI Tech, and Agile ProcurementThe primary obstacle preventing emerging technology firms from breaking into federal, state, and local government contracting is navigating the dense compliance mandates of the Federal Acquisition Regulation (FAR) while building verifiable past performance. Kamar Perkins explains that military veterans possess a distinct competitive advantage in this sector because core service roles—particularly logistics, supply chain management, and tactical leadership—mirror the complex resource allocation required for high-stakes government projects. Rather than attempting to secure multi-million-dollar prime contracts immediately, small businesses must adopt a phased approach: partnering as subcontractors with established prime vendors, tapping into Service-Disabled Veteran-Owned Small Business (SDVOSB) or 8(a) set-asides, and building a proven track record of execution.Scaling a specialized tech consultancy in the public sector demands delivering high-demand, future-proof software capabilities like artificial intelligence and machine learning tailored to specific agency missions. Because federal decision-makers prioritize data security, system scalability, and ongoing serviceability, technology providers must build robust documentation and clear upgrade paths into every solution. As federal procurement trends shift toward agile acquisition frameworks—which favor iterative project delivery and faster timelines—small firms must position themselves as agile innovation partners. Coupling technical capability with staff who understand public sector culture enables boutique firms to win competitive proposals and deliver measurable operational impact for agency clients.Furthermore, driving long-term enterprise growth across both commercial and government markets requires business leaders to replace transactional cold pitches with intentional, relationship-driven networking. Actively engaging agency contacts, participating in industry trade groups, and sharing authoritative thought leadership across digital channels builds institutional trust long before an official Request for Proposal (RFP) is issued. Maximizing visibility through executive media opportunities, maintaining complete press kits, and consistently following up with strategic partners transforms simple introductions into long-term sub-contracting and prime opportunities. When military operational discipline, cutting-edge AI delivery, and proactive relationship building are synthesized into a single business architecture, small enterprises successfully eliminate procurement friction, protect profit margins, and predictably expand enterprise valuation.About Kamar PerkinsKamar Perkins is the Founder and President of Protech Consulting Group, an Army National Guard veteran, and an expert consultant in federal government contracting and technology implementation. Drawing from a rich background as an Army quartermaster officer specializing in logistics and tactical operations, Kamar guides small business owners and veteran entrepreneurs through public sector procurement. He is a recognized thought leader focused on helping technology firms deploy artificial intelligence, build strategic agency relationships, and navigate government acquisition frameworks.About Protech Consulting GroupProtech Consulting Group is an elite technology advisory firm and government contracting consultancy engineered to help public sector agencies and commercial enterprises deploy advanced software solutions. The firm specializes in delivering custom AI and machine learning platforms, data analytics optimization, agile IT project management, and small business government contracting advisory services. Through specialized procurement guidance and technical execution, Protech Consulting Group enables organizations to navigate complex regulatory environments, eliminate operational bottlenecks, and achieve sustainable growth.Links Mentioned in This EpisodeProtech Consulting Group Official Website: protechconsultinggroup.comKamar Perkins on LinkedIn: linkedin.com/in/kamardperkinsKey Episode HighlightsTranslating Military Logistics into Business Value: How quartermaster and NCO leadership experience provides a foundation for complex project management and operations.Deploying AI Solutions for Federal Agencies: Developing scalable machine learning and data analytics platforms tailored to public sector procurement mandates.Navigating Agile Government Procurement: Strategies for small businesses to start as subcontractors, leverage veteran set-asides, and build past performance.Strategic B2G Relationship Architecture: Building long-term trust with agency decision-makers and prime contractors prior to RFP releases.Executive Media Optimization: Preparing press kits and leveraging podcast appearances to amplify brand authority and attract high-value partners.ConclusionThe conversation with Kamar Perkins underscores that achieving lasting success in government contracting requires a deliberate synthesis of military-grade operational discipline, specialized technical expertise, and persistent relationship building. By standardizing internal compliance protocols, focusing on high-demand tech capabilities like AI, and leveraging strategic network connections, business leaders can transform an emerging contracting firm into a highly structured, self-sustaining enterprise.More from The Thoughtful Entrepreneur

In this episode, Nishith Khandwala, CEO and Co-founder at Bunkerhill Health, Sam Schwager, CEO & Co-Founder of SuperDial, Steve Liou, CEO and Founder of Clarium, and Bo Gu, MD, CEO, Youlify, discuss how AI is improving clinical workflows, reducing administrative burden, and expanding access to care. They also share the biggest challenges to AI adoption […]

In this episode, Nishith Khandwala, CEO and Co-founder at Bunkerhill Health, Sam Schwager, CEO & Co-Founder of SuperDial, Steve Liou, CEO and Founder of Clarium, and Bo Gu, MD, CEO, Youlify, discuss how AI is improving clinical workflows, reducing administrative burden, and expanding access to care. They also share the biggest challenges to AI adoption and what healthcare leaders should prioritize as these technologies continue to evolve.

In this episode, Nishith Khandwala, CEO and Co-founder at Bunkerhill Health, Sam Schwager, CEO & Co-Founder of SuperDial, Steve Liou, CEO and Founder of Clarium, and Bo Gu, MD, CEO, Youlify, discuss how AI is improving clinical workflows, reducing administrative burden, and expanding access to care. They also share the biggest challenges to AI adoption […]

In this episode of Leaders in ERP, Shawn Windle sits down with Kevin Miller, CTO of IFS, to discuss how AI is reshaping enterprise software for industries like aerospace & defense, manufacturing, and utilities. Miller shares real-world AI examples while arguing that AI will evolve ERP, not replace it. The conversation explores data governance, industry expertise, AI data risks, headless ERP, agentic platforms, and evolving licensing models.Connect with us!https://www.erpadvisorsgroup.com866-499-8550LinkedIn:https://www.linkedin.com/company/erp-advisors-groupTwitter:https://twitter.com/erpadvisorsgrpFacebook:https://www.facebook.com/erpadvisorsInstagram:https://www.instagram.com/erpadvisorsgroupPinterest:https://www.pinterest.com/erpadvisorsgroupMedium:https://medium.com/@erpadvisorsgroup

What happens when the most capable AI lives in the cloud, but the work you want it to do is too private, expensive, or repetitive to send there every time?Dr. Olena Zhu, Head of AI Solutions & Ecosystem for Intel's Client Computing Group, joins Corey Noles and Grant Harvey to explain Intel's vision for hybrid AI: systems that route each task to the right place, whether that is a local model on a PC, a larger model on an edge server, or a frontier model in the cloud.The conversation explores why cloud-only AI may be difficult to scale, how an orchestration layer decides where work should run, and how Intel's new SuperClaw beta combines local and remote intelligence. Dr. Zhu also explains how hybrid agents could conduct deep research without exposing confidential data, why routing and auditability matter when agents fail, and why the next wave of useful AI may come from specialized agents built for specific jobs.Listen for a practical look at the tradeoffs among capability, privacy, cost, reliability, and control, and what it could mean when powerful AI agents begin running partly on the computers we already own.Try Intel SuperClaw: https://aibuilder.intel.com/#/superclawIntel AI Builder: https://aibuilder.intel.com/Intel SuperClaw GitHub: https://github.com/intel/intel-ai-builder/tree/main/superclawIntel's SuperClaw overview: https://newsroom.intel.com/opinion/solving-the-agentic-ai-trilemma-cost-scale-and-data-securitySubscribe to The Neuron for daily AI news and analysis built for humans: https://www.theneurondaily.com/Sponsored by Nerdio: Get a demo of Nerdio Manager for Enterprise today:

John Ledesma is the Founder and CEO of LeasIQ, AI-native property management software for independent landlords, and LandClear, AI-powered entitlement intelligence for land developers and acquisition teams. John leads product strategy, software development, and customer discovery, building systems that automate leasing, maintenance coordination, tenant communication, and repetitive administrative work. Drawing on expertise in engineering, real estate investing, and software, he applies systems thinking to reduce operational friction and support better decisions. In this episode… Property management can become overwhelming when leasing questions, maintenance updates, and follow-ups compete for attention all day. How can technology reduce that workload without replacing the judgment and relationships that matter most? John Ledesma, an expert in AI-powered real estate operations and software development, believes the answer is to automate repetitive work while keeping people focused on decisions that require experience, empathy, and trust. Faster responses can reduce vacancy, organized maintenance systems can prevent costly delays, and earlier renewal conversations can improve tenant retention. John also recommends improving workflows before adding staff, since better systems often reveal where human expertise creates the greatest value. Used thoughtfully, AI can make operations more efficient while giving landlords greater clarity and control. In this episode of The Same Day Podcast, Yoni Schmidt sits down with John Ledesma, Founder and CEO of LeasIQ and LandClear, to discuss AI-driven real estate efficiency. John explains where automation delivers the strongest ROI, how landlords can streamline leasing and maintenance, and why better systems help small operators compete. He also explores land entitlement intelligence and the future of more human property management.

In this episode, we discuss the solutions that AI is providing to longstanding bug detection problems within Microsoft. We highlight outcomes and future trends.Chapters00:00 Microsoft Bug Hunting AI02:01 Google's SynthID Watermark04:59 Encore AI's Voice Agents10:16 Writers Embrace Typos14:59 Sierra Acquires Oasis Security17:01 Recent Industry Headlines Show LinksGet the top 80+ AI Models for $8.99 at AI Box: ⁠⁠https://aibox.aiHow I Grow and Scale My Business with AI: https://www.skool.com/aihustleGet the AI Chat Daily Newsletter: https://www.aichatdaily.com/newsletter See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Spring AI 2.0 released in June 2026 and is one of several projects ensuring Java's continued strength in enterprise AI development. Here are some tips on deterministic agents, MCP servers and skills, prompt engineering, and where Java's richness for AI solutions stems from. In this "Input/Output" episode of the Inside Java Podcast, recorded during JavaOne 2026, Lize Raes talks to Dan Vega, Spring Developer Advocate at Broadcom, Java Champion, speaker, and author. "Input/Output" is our new show, where we talk to people outside of OpenJDK to bring you their perspectives and insights into what's happening in the Java ecosystem.

Artificial intelligence has been part of the localization industry for decades through machine translation and neural translation models. However, according to Semih, today's AI revolution is fundamentally different.Rather than simply translating words from one language to another, modern AI systems are becoming capable of understanding intent, context, tone, and audience expectations.As Semih explains, the conversation is shifting from translation accuracy to what he describes as "intent proximity", how closely AI can deliver content that reflects the original purpose and resonates naturally with the target audience.This evolution has been driven by advances that simply did not exist a few years ago. AI models can now work with style guides, terminology databases, brand guidelines, quality evaluation models, and contextual information to produce significantly better multilingual content.The result is an entirely new language intelligence lifecycle where translation becomes just one component of a much broader communication strategy.00:00 – Semih Altinay, VP AI Solutions, Phrase01:20 – Why AI Has Moved Beyond Translation03:36 – AI as an Enabler, Not a Replacement07:19 – Agentic AI and the Future of Localization Workflows12:59 – Why Translation Doesn't Create Business Value Alone17:02 – Connecting Localization to Revenue Growth22:56 – Managing Quality, Compliance, and AI at Scale30:18 – The Future of AI, Language Models, and Global ContentAbout VistaTalks: VistaTalks has an incredible lineup of guests from around the globe. We love to feature interesting discussions with interesting people from all around the world. Follow VistaTalks on Spotify for all the latest episodes, or subscribe to the show on Apple and Google podcasts. VistaTalks is available on many other podcast platforms. To learn more about VistaTalks, please visit https://www.vistatalks.comSocial Media:X - https://x.com/vistatalks Facebook - https://www.facebook.com/VistaTalks Instagram - https://www.instagram.com/vistatalks LinkedIn - https://www.linkedin.com/company/vistatalks

In this episode, we unveil the groundbreaking AI model recently launched by Thinking Machines. We also look at AWS's ambitious $1 billion investment in the AI landscape.Chapters00:00 Introduction to Inkling01:01 OpenAI's GPT-RED01:59 AI Box's MCP Server05:00 AWS's Custom AI Engineers07:29 Apple's AI Launch in China10:01 Meta's AI Compute Strategy Show LinksGet the top 80+ AI Models for $8.99 at AI Box: ⁠⁠https://aibox.aiHow I Grow and Scale My Business with AI: https://www.skool.com/aihustleGet the AI Chat Daily Newsletter: https://www.aichatdaily.com/newsletter

In this episode of Double Tap, Steven Scott and Shaun Preece introduce the iPass, a small German-made mobility aid that uses LiDAR to transform environmental distances into stereo audio cues. Unlike sonar-based devices, iPass delivers highly accurate, low-latency spatial feedback, helping users detect obstacles, open doors, and even estimate how many people are in a room. They're joined by Eugenio Rustico, founder of Sound Reasoning, who shares the story behind iPass, its training curve, and real-world use cases—from locating train edges to navigating crowded supermarkets—while also discussing pricing, insurance considerations, and plans for European distribution. The episode also features listener contributions about creating accessible tech experiences, including the Curb to Car app, MIT Accessible Technology Club co-design opportunities, and personal experiences using AI tools like Claude for accessible game creation. Relevant Links Curb to Car App: https://apps.apple.com/gb/app/curbtocar/id6748715225 CurbToCar MIT Accessible Technology Club: MIT@theblind.ninja Sound Reasoning (iPass): https://www.soundreasoning.de ----Follow on:YouTube: https://www.doubletaponair.com/youtubeX (formerly Twitter): https://www.doubletaponair.com/xInstagram: https://www.doubletaponair.com/instagramTikTok: https://www.doubletaponair.com/tiktokThreads: https://www.doubletaponair.com/threadsFacebook: https://www.doubletaponair.com/facebookLinkedIn: https://www.doubletaponair.com/linkedinSubscribe to the Podcast:Apple: https://www.doubletaponair.com/appleSpotify: https://www.doubletaponair.com/spotifyRSS: https://www.doubletaponair.com/podcastiHeadRadio: https://www.doubletaponair.com/iheartAbout Double TapHosted by the insightful duo, Steven Scott and Shaun Preece, Double Tap is a treasure trove of information for anyone who's blind or partially sighted and has a passion for tech. Steven and Shaun not only demystify tech, but they also regularly feature interviews and welcome guests from the community, fostering an interactive and engaging environment. Tune in every day of the week, and you'll discover how technology can seamlessly integrate into your life, enhancing daily tasks and experiences, even if your sight is limited."Double Tap" is a registered trademark of Double Tap Productions Inc. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode, Faraz Ahmad, MD, associate director at the Center for Artificial Intelligence at Northwestern Medicine Bluhm Cardiovascular Institute, discusses how Northwestern is advancing AI strategy, developing clinical AI tools, and training the next generation of AI-focused healthcare leaders. He also shares insights on implementing AI responsibly through workflow redesign, evaluation, and collaboration.

AI agents are rapidly shifting how businesses approach automation and decision-making. As capabilities evolve, organizations are rethinking workflows, data, and the role of human expertise alongside intelligent systems.  In this episode, Olga Loiseau-Aslanidi, Managing Director for AI Solutions and Keith Berry, General Manager at Moody's, join host Alex Pillow to explore how AI agents are transforming risk, compliance, and operational efficiency. They discuss how agentic systems combine large language models with tools, data, and workflows to move beyond chat-based interactions and help actively complete complex tasks.   Key topics covered:  What AI agents are and how they differ from traditional chatbots  The concept of “harnessing” models with tools, data, and guardrails to drive outcomes  Real-world use cases, including screening, due diligence, and entity enrichment  How organizations balance automation with human oversight in regulated environments  Why trusted, decision-grade data is critical to effective AI-enabled outcomes  How firms might adopt agentic solutions based on their risk appetite and maturity  Additional resources:  Moody's agentic solutions landing page Blogs: Why skills decide who controls AI in financial services ; Where enterprise AI actually gets built ; Decision-grade intelligence in an AI-driven world To learn more about Moody's please visit our website or get in touch — we would love to hear from you. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode, we dive deep into how AI is revolutionizing the entire industrial customer journey. We explore how large language models and digital twins are reshaping everything from initial customer inquiries to spare parts management and predictive maintenance. I'm joined by Jan Seyler and Werner Reichelt from Festo, who share firsthand insights on integrating AI with engineering tools, orchestrating multi-agent systems, and bridging the gap between digital sales and real-world manufacturing. Together, we discuss the challenges of interoperability, the evolving role of sales engineers, and the opportunities presented by data-driven automation. If you're curious about the practical impact of AI on industry, this conversation is packed with real examples and forward-looking ideas.

Ephraim Ebstein, co- founder of FIT Solutions, a managed IT, cybersecurity, and compliance firm who helps leadership teams in healthcare, senior living, and other regulated industries secure, modernize, and scale their technology without added risk or complexity.Through FIT Solutions and his AI arm, AI Integrators, Ephraim guides organizations to adopt AI responsibly, improve efficiency and decision making, and turn technology into a true competitive advantage.Now, Ephraim's journey of building a 38 million dollar company with 120 team members demonstrates what it takes to grow in high stakes environments where every decision carries weight.And while navigating the constant pressure of scale, responsibility, and leadership, he is learning to build systems and leaders so the business becomes sustainable, values driven, and bigger than any one individual.Here's where to find more:https://fitsolutions.biz@kingspearhttps://www.linkedin.com/in/ephraim-ebstein-5a2a1a10________________________________________________Welcome to The Unforget Yourself Show where we use the power of woo and the proof of science to help you identify your blind spots, and get over your own bullshit so that you can do the fucking thing you ACTUALLY want to do!We're Mark and Katie, the founders of Unforget Yourself and the creators of the Unforget Yourself System and on this podcast, we're here to share REAL conversations about what goes on inside the heart and minds of those brave and crazy enough to start their own business. From the accidental entrepreneur to the laser-focused CEO, we find out how they got to where they are today, not by hearing the go-to story of their success, but talking about how we all have our own BS to deal with and it's through facing ourselves that we find a way to do the fucking thing.Along the way, we hope to show you that YOU are the most important asset in your business (and your life - duh!). Being a business owner is tough! With vulnerability and humor, we get to the real story behind their success and show you that you're not alone._____________________Find all our links to all the things like the socials, how to work with us and how to apply to be on the podcast here:https://linktr.ee/unforgetyourself

Joe Ours talks about what it actually takes to move from experimentation to enterprise-wide impact. Joe is Director of AI Solutions at Centric Consulting where he helps organizations move beyond AI experimentation and into real-world deployment at scale. He works with clients across industries to identify high-impact use cases, implement AI solutions, and drive the organizational change needed to make adoption stick. Listen for three action items you can use today. Host, Kevin Craine Do you want to be a guest? https://DigitalTransformationPodast.net/guest Do you want to be a sponsor? https://DigitalTransformationPodcast.net/advertise

You cannot open new clinics if your administrative workflows are stuck in the past.Healthcare IT Today sits down with Robert DeLuca, EHR Innovation Administrator at MedFlorida Medical Centers. We explore how deploying point-of-care automation, AI in revenue cycle and AI scribes allows their practice to expand without bottlenecking their back office. You will see how giving clinicians the right tools speeds up billing and directly powers sustainable practice growth.

Sign up for Practi, a new platform that helps law firms use subscription billing.Here are the top 5 takeaways from this episode:* Going solo requires proving your own value. Stephen emphasizes that attorneys who rely solely on a firm's name have “borrowed value.” Going out on your own, and actually generating revenue and clients, is the real proof of marketability and professional worth.* Client quality over quantity. Early on, Stephen learned to fire bad clients: those who don't pay, don't cooperate, or ask you to act unethically. You can't build a sustainable practice on a foundation of problematic clients, and protecting your license and reputation comes first.* Build your own AI workflows rather than relying on generic tools. Stephen moved away from consumer chatbots (Claude Desktop, ChatGPT) toward IDEs like Cursor and Windsurf, and built ~80 of his own MCPs (Model Context Protocol integrations). Custom-built workflows tailored to your specific practice are far more powerful and secure than off-the-shelf solutions.* AI hallucination is a context problem, not just a model flaw. Stephen explains that AI “hallucinations” happen because the model lacks the right context window and fills gaps with plausible-sounding but fabricated information. The solution is connecting AI to reliable, specific data sources (like his custom Court Listener MCP) rather than letting it guess.* Start small and don't overspend on AI tools. Many expensive subscriptions are overkill for beginners. Stephen built a functional court case search tool for roughly 20 cents. His advice: start with a free or low-cost tier, learn the technology through hands-on experimentation, and only scale spending once you understand what you actually need.__________________________Want your question to be answered on a future show? Fill out this short survey.Have subscription model question? Check out this free resource to ask all of your questions at notebook.practi.ai.Check out Polauf Law LLC.Sign up for Paxton, my all-in-one AI legal assistant, helping me with legal research, analysis, drafting, and enhancing existing legal work product.Get Connected with SixFifty⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, a business and employment legal document automation tool.Sign up for ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Gavel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, an automation platform for law firms.Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Law Subscribed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to subscribe to the weekly newsletter to listen from your web browser.Prefer monthly updates? Sign up for the Law Subscribed Monthly Digest on LinkedIn.Check out ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mathew Kerbis'⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ law firm ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscription Attorney LLC⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Want to use the subscription model for your law firm? Click here to sign up for a new platform that helps law firms use subscription billing. Get full access to Law Subscribed at www.lawsubscribed.com/subscribe

How can health systems cut through the noise of evolving AI tools to identify technology that truly improves operations and patient care? Hosts Heather, Matthew, and Leighton welcome Dr. Mark Sendak, Co-Founder and CEO of Vega Health, to discuss how he helps healthcare organizations navigate the artificial intelligence landscape and implementation process. Dr. Sendak shares insight into where AI adoption most commonly breaks down as organizations work to evaluate vendors, implement new technology, and improve patient outcomes. We also discuss how Vega Health helps bridge the gap between developers and providers, and why eliminating the digital divide is critical for improving access and population health. Tune in for a look at how innovators are working to make AI more accessible and impactful across healthcare.

Tyler Hochman, FORE Enterprise founder and CEO, and Forbes 30 Under 30 honoree, develops AI solutions to enhance efficiency and reduce costs. Serial entrepreneur across consumer and B2B tech, driving bold innovation and social impact. Top 3 Value Bombs 1. Success is often about knowing when to quit and pivot; not just persevering endlessly. 2. AI only delivers real ROI when companies have the right data infrastructure to ingest, structure, and deploy information effectively. 3. Businesses should look for processes that are Expensive, Repetitive, and Repeatable (ERR); these are prime opportunities for AI automation. Check out Tyler's website to learn more about FORE Enterprise and AI solutions - FORE Enterprise Sponsors HighLevel - The ultimate all-in-one platform for entrepreneurs, marketers, coaches, and agencies. Learn more at HighLevelFire.com. ThriveTime Show - Is your business stuck? Schedule a free consultation with America's number 1 business coach, Clay Clark, at ThrivetimeShow.com/eofire. Shopify - Shopify is the commerce platform behind millions of businesses around the world. Sign up for your 1 dollar-per-month trial today at Shopify.com/onfire.

Welcome to our series Better Your Business With Ben. In this episode, Ben and DJ break down the growing battle between Zillow, Compass, and the MLS over listing control, private exclusives, and what it means for agents and consumers. They discuss why major industry players may not truly be advocating for agents, and how AI tools like ChatGPT, Claude, and Gemini are rapidly changing lead generation, search, and the future role of real estate professionals. Ben also shares how his AI-powered platform OfferShield uses transaction data and predictive modeling to reduce deal cancellations and strengthen buyer offers. Last, the conversation dives into practical AI workflows for content creation, automation, financial analysis, and staying ahead in an industry being reshaped by technology. Please follow Ben on Instagram and TikTok. If you'd prefer to watch this interview, click here to view on YouTube!  Ben Lalez can be reached at 312.789.4054 and ben.lalez@compass.com. This episode is brought to you by Real Geeks and Courted.io.

In this episode of the Lebanese Physicians Podcast, I sit down with hypertension researcher Dr. Farah Allouch to discuss the growing global hypertension epidemic affecting over 1.7 billion people worldwide. We explore the widening healthcare inequality gap between high- and low-income countries, barriers to treatment, prevention strategies, the role of AI and digital health, and why uncontrolled blood pressure is becoming a major driver of cardiovascular disease and dementia. A must-watch conversation for clinicians, public health professionals, and anyone interested in the future of global healthcare. #Hypertension #HighBloodPressure #CardiovascularDisease #GlobalHealth #PublicHealth #AIinHealthcare #PreventiveMedicine #HealthcareInequality #LebanesePhysiciansPodcast #Medicine #HeartHealth #DigitalHealth #DementiaPrevention #podcast On Youtube  @thelebanesephysicianspodcast  On all podcast apps Website: https://thelebanesephysicianspodcast.podbean.com   @Tulane   @tulaneuniversityschoolofme3851 ​

Don Ho is the Co-founder and CEO of Kaizen AI Lab, where he helps mid-market businesses implement practical AI systems with built-in governance and measurable ROI. Under his leadership, Kaizen AI Lab has helped clients replace expensive, legacy software systems — such as a $300,000-per-year enterprise tool — with custom AI-driven solutions in a matter of weeks, while ensuring rigorous cybersecurity and compliance standards. Don is a recovering attorney, a former tea and coffee shop entrepreneur, and an early adopter of emerging technologies, having successfully navigated industries from retail to law to AI. In this episode… Companies do not always need another bloated software renewal to solve a recurring operational problem. Sometimes the bigger opportunity is asking what AI can rebuild, streamline, or replace entirely, but how far can that really go? For Don Ho, the answer is that AI is already practical enough to replace major enterprise tools when it is applied with the right strategy, governance, and technical oversight. Drawing from his experience as an attorney turned AI solutions builder, Don explains how his team helped a client replicate a $300,000-per-year software system in about five weeks while accounting for cybersecurity, PII, HIPAA concerns, and penetration testing. His perspective shows that AI is no longer just a productivity add-on; it can become a serious business infrastructure decision when leaders understand both the promise and the risks. Tune in to this episode of the Smart Business Revolution Podcast as John Corcoran interviews Don Ho, Co-founder and CEO of Kaizen AI Lab, about replacing expensive software with practical AI solutions. Don talks about building a $300K software alternative, using AI agents for implementation, and setting realistic expectations around AI adoption. He also shares advice on governance, compliance, and choosing the right use cases.

In this episode of Brake Check, we're coming to you LIVE from day two of the Tenstreet User Conference, and we're tackling the massive elephant in the room: AI. Everybody is talking about it, but what does practical AI actually mean for the industry? Charles Gracey hits the showroom floor to cut through the buzzwords and sit down with the heavy hitters shaping the future of freight and driver recruiting. First up, Charles is joined by Steve Brown, CRO of Tenstreet, to break down the highly-anticipated "Tenstreet Assistant." We're not talking about replacing the human element—we're talking about removing the mindless data entry and spreadsheet tracking so recruiters can get back to what matters: building real relationships with drivers. Then, Linnette Torres, Director of Compliance and Recruiting at CPC Logistics, drops in to give us a boots-on-the-ground look at the private fleet sector. Linnette shares CPC's impressive driver benefits, the gritty reality of recruiting in today's unpredictable market, and what it's really like to beta-test these new AI tools. Finally, Charles catches up with Kevin Hall, CEO of CDLLife. They dig into how data intelligence is mapping out the actual driver journey, the critical difference between passive and active job seekers, and why carrier recruiting budgets are finally starting to open back up as the market shifts. No fluff. No spin. Just real conversations about: What "real AI" actually looks like for carriers in 2026 Why the human touch will never be replaced in trucking Surviving the unpredictability of today's driver market No pie charts; No PowerPoints; No sanitized narratives. This is real trucking talk with real trucking people... calling out broken systems, asking uncomfortable questions, and demanding accountability where it's long overdue. If you care about the future of trucking, this is a conversation you can't afford to miss. ⁠Follow the Brake Check Podcast⁠ ⁠Other FreightWaves Shows⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

Are we creating AI solutions or just chasing problems?

Prathik Roy is Product Director for Data and AI Solutions at Springer Nature, one of the world's largest academic publishing companies. A quantum chemist and material scientist by training, he spent years in R&D before gravitating towards product management — and has spent the past 12 years helping publishers understand the value locked inside their content. In this episode, Prathik makes the case that publishers are sitting on some of the most strategically valuable data in the world, and that most of them are only beginning to understand what that means in the age of AI.In this episode, we cover:(00:00) Introduction: from quantum chemistry to product management (05:00) The Schrödinger problem: why content value is increasingly unknowable (08:00) How traditional publishing metrics worked — and why they broke (11:30) The ChatGPT moment and its impact on scientific publishing (15:00) Paywalls, subscription models, and the shift to data licensing (21:30) How scientific content earns its quality — and why AI cannot just follow the citations (26:00) Why AI developers want bullet points — and what that means for content structure (29:00) New monetisation models: tokens, outcomes, and data as a service (33:00) Rights management: rights in, rights out, and why the prohibited section matters (36:30) Measuring content value when your users live inside AI systems (38:00) What to do with your content archive: extraction, licensing, and prediction marketsOur HostsLily Smith enjoys working as a consultant product manager with early-stage and growing startups and as a mentor to other product managers. She's currently Chief Product Officer at BBC Maestro, and has spent 13 years in the tech industry working with startups in the SaaS and mobile space. She's worked on a diverse range of products – leading the product teams through discovery, prototyping, testing and delivery. Lily also founded ProductTank Bristol and runs ProductCamp in Bristol and Bath.Randy Silver is a Leadership & Product Coach and Consultant. He gets teams unstuck, helping you to supercharge your results. Randy's held interim CPO and Leadership roles at scale-ups and SMEs, advised start-ups, and been Head of Product at HSBC and Sainsbury's. He participated in Silicon Valley Product Group's Coaching the Coaches forum, and speaks frequently at conferences and events. You can join one of communities he runs for CPOs (CPO Circles), Product Managers (Product In the {A}ether) and Product Coaches. He's the author of What Do We Do Now? A Product Manager's Guide to Strategy in the Time of COVID-19. A recovering music journalist and editor, Randy also launched Amazon's music stores in the US & UK.

Send us Fan MailOn this episode of Embedded Insiders, Ken and Robert Otręba, Chief Executive Officer at GRINN, discuss the company's edge AI products and full-stack engineering services. They recap the trends and demos showcased at embedded world, highlighting the company's System on Module (SoM) and Edge AI SBC solutions. Next, Rich and Sean Dougherty, a Vice President with Everspin Technologies, discuss the current memory crisis. Specifically, skyrocketing memory costs and the large capacities needed for artificial intelligence. But first, Ken and I are talking about sustainable AI, such as the growing environmental cost of AI and the role of data centers. For more information, visit embeddedcomputing.com

In this episode, Mac Boyter, revenue cycle management and Business Solutions Research Director at KLAS Research, and Josh Margulies, VP of Brand Advocacy, Suki AI, discuss how health systems can validate ROI and scale ambient AI from pilot to enterprise. They explore key findings on revenue lift, clinician efficiency, patient satisfaction, and the importance of strong partnerships and change management.This episode is sponsored by Suki.

Join me and my guest Noelle Russell, founder of the AI Leadership Institute (aileadershipinstitute.com) and a multi-award winning TEDx speaker, best-selling author, and AI Executive who specializes in transforming businesses through delivering responsible AI Solutions that scale. She says "we talk about AI like it's a magic wand that will transform everything. But what if the most powerful force for innovation isn't artificial intelligence—it's inclusive leadership?"  Noelle has built over 100 conversational AI applications since 2014 and has over 2 million unique users. She also influenced almost a $1 billion in revenue for Microsoft AI during her tenure there speaking to Fortune 500 executives, running whiteboarding technical sessions, and leading internal hackathons for her clients. In the last year, she was awarded the Microsoft Most Valuable Professional (MVP) award for Responsible Artificial Intelligence as well as being listed at one of the Top 50 Global Thought Leaders in Generative AI.  SHOW NOTES SPONSORED BY: Power of You! Find out more at https://leader.blainebartlett.com/power-of-you Summary In this episode, Blaine interviews Noelle Russell, a leading expert in responsible AI, exploring the intersection of AI, inclusive leadership, and ethical business practices. They discuss how leadership influences AI development, the importance of inclusive design, and the future of responsible AI. Key Topics The importance of inclusive leadership in AI development Building AI systems with ethical guardrails The concept of constitutional AI and its role in responsible AI Leadership's influence on AI ethics and responsible innovation The personal motivations behind AI development and leadership Learn more about your ad choices. Visit megaphone.fm/adchoices

Ricky Ho is a young entrepreneur, already on his second start-up company that is set to dominate the sourcing products arena. Yes, he has Alibaba to outmanoeuvre, but the signs are good, and his AI-inspired model has much to recommend it to SMBs/SMEs around the world.Summary of PodcastIntroductions and backgroundGraham, Kevin, and Ricky (from SourceReady) introduce themselves and provide background on Ricky's career and the inspiration behind starting SourceReady, a platform that uses AI to help businesses find and vet suppliers outside of China.SourceReady's unique approachRicky explains how SourceReady differentiates itself from platforms like Alibaba. They do this by using a data-driven, objective approach to ranking suppliers based on factors like quality, compliance, and customer relationships - rather than just supplier advertising. This helps democratize access to supplier information for small and medium businesses.Addressing supply chain risksThe discussion shifts to the importance of managing supply chain risks. They discuss such as compliance issues, supplier financial health, and reputational risks. Ricky highlights how SourceReady's tools can help businesses proactively screen for and mitigate these risks, which is especially critical for smaller companies that may lack dedicated procurement teams.SourceReady's growth and futureRicky shares his vision for SourceReady to become the go-to platform for businesses of all sizes to discover and vet suppliers globally, beyond just China. He discusses the challenges of changing user behavior and the need to provide a significantly better experience than existing options to drive adoption. The group also touches on the favorable market trends, like supply chain diversification, that could benefit SourceReady.Recap and closing thoughtsRicky provides a brief testimonial on his experience being interviewed, and the group wraps up the discussion, with Graham and Kevin expressing optimism about SourceReady's potential for success.The Next 100 Days Podcast Co-HostsGraham ArrowsmithGraham founded Finely Fettled eleven years ago to help businesses market to affluent and high-net-worth customers. He's the founder of MicroYES, a Partner of MeclabsAI, providing AI Agents, workflows, and Phone-to-agent delivery systems. Now, Graham offers Answer Engine Optimisation so you get found by LLM search and Enterprise-level AI Solutions.Kevin ApplebyKevin specialises in finance transformation and implementing business change. He's the COO of GrowCFO, which provides both community and CPD-accredited training designed to grow the next generation of finance leaders. You can find Kevin on LinkedIn and at kevinappleby.com

Conversations on AI typically deal with impacts in the US, Asia, and Europe. Yet the impact of AI on Africa, and Africa on AI, is immense. Professor and Director of the MIND Institute at the University of the Witwatersrand Benjamin Rosman joins David Rothkopf to explore the unique perspectives coming from Africa in the tech space, why grassroots movements drive innovation, and how unique resource constraints are forcing a creative departure from the “bigger is better” obsession in Silicon Valley. This material is distributed by TRG Advisory Services, LLC on behalf of the Embassy of the United Arab Emirates in the U.S.. Additional information is available at the Department of Justice, Washington, DC. Learn more about your ad choices. Visit megaphone.fm/adchoices

Conversations on AI typically deal with impacts in the US, Asia, and Europe. Yet the impact of AI on Africa, and Africa on AI, is immense. Professor and Director of the MIND Institute at the University of the Witwatersrand Benjamin Rosman joins David Rothkopf to explore the unique perspectives coming from Africa in the tech space, why grassroots movements drive innovation, and how unique resource constraints are forcing a creative departure from the “bigger is better” obsession in Silicon Valley. This material is distributed by TRG Advisory Services, LLC on behalf of the Embassy of the United Arab Emirates in the U.S.. Additional information is available at the Department of Justice, Washington, DC. Learn more about your ad choices. Visit megaphone.fm/adchoices

Most AI projects look impressive… right until you try to use them in production.A flashy demo? Easy.A scalable, structured, production-ready solution? That's a different game.Over the past year, we've seen teams build incredible AI prototypes in days. But when it comes to:• Maintaining consistent design systems• Avoiding hardcoded chaos• Managing dependencies properly• Creating reusable components• Refactoring for scale• Enabling multiple teams to collaborateThings start to fall apart.That's exactly what we're addressing in our upcoming live session of Leveraging AI with Joanna Stoffregen. She recently published a YouTube walkthrough on building websites with AI that reached 26,000+ viewers. But what makes her approach different isn't the tools.In this session, she'll break down how to move from “vibe coding” and experimentation to production-grade AI solutions, the kind that organizations can actually ship, maintain, and scale.If you're a business leader driving AI initiatives, this conversation is for you. The bottleneck in 2026 isn't access to AI.It's execution discipline.About Leveraging AI The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

In this episode, host Frank La Vigne and co-host Candice Gillhoolley sit down with Danny Wall, the founder, CEO, and CTO of OA Quantum Labs, for an in-depth conversation about the real-world intersection of quantum computing and artificial intelligence.You'll hear Danny Wall pull the curtain back on how OA Quantum Labs is pushing quantum solutions beyond the research phase and into commercially viable applications. From accelerating AI training and inference to spinning out novel materials at lightning speed, Danny shares firsthand stories about quantum-enhanced breakthroughs in material science, finance, and more.This episode dives into common misconceptions—like the idea that AI is actually running on quantum computers—and Danny explains the nuanced, current reality: quantum as an incredible mathematical accelerator and enhancement for AI, rather than a full replacement. You'll also get practical advice for developers, researchers, and investors eager to get started with quantum, and insights on what it really takes to stay ahead in a field moving as fast as quantum.If you're curious about how quantum technologies are escaping the confines of the lab and making real commercial impact, this is the episode you've been waiting for!Time Stamps00:00 "Quantum Labs Driving AI Innovation"03:31 "Quantum Computing Enhances AI Efficiency"09:32 Advanced Materials Breakthroughs Revolutionizing Industries12:58 Quantum Investing: Beyond PhD Pedigrees15:47 "Quantum, Solutions, and Strategic Investment"18:05 "Jump Into Quantum Development"20:27 "Quantum Enhancement for AI Solutions"25:38 AI Limits and Misconceptions27:02 "AI Creativity Hack with Roles"33:16 "Challenges in Quantum Error Correction"36:37 Quantum Computing's Material Challenges38:02 "AI Progress Hitting Limits"42:49 "Quantum Encryption and Neural Networks"47:19 "Schrödinger's Cat Explained Simply"48:16 "Quantum Physics Misconceptions Explained"

How can AI Copywriting help Martin Booth, who has worked as a journalist and copywriter, but traditional clients are turning to large language models to draft their copy nowadays? An answer emerges during the conversation.Summary of PodcastThe rise of AI copywritingMartin shares his perspective on the growing impact of AI tools like ChatGPT on the copywriting industry. He explains how clients are increasingly turning to AI-generated content, which has reduced the demand for his services. The group discusses strategies for copywriters to adapt and remain relevant in this changing landscape.Opportunity in Answer Engine Optimisation (AEO)Graham introduces the concept of Answer Engine Optimisation (AEO) as a potential solution for copywriters to differentiate themselves. He explains AI copywriting is how AEO focuses on crafting content that is optimised for how AI language models like ChatGPT search and surface information, rather than traditional search engine optimisation (SEO) tactics. The group explores the technical and creative aspects of AEO, and the potential for Martin to position himself as an expert in this emerging field.Recap and next stepsKevin and Graham summarise the key insights from the discussion, emphasising the need for copywriters to adapt to the changing landscape and leverage AI tools in strategic ways. They express optimism about Martin's ability to capitalise on the AEO opportunity and become a thought leader in this space.The Next 100 Days Podcast Co-HostsGraham ArrowsmithGraham founded Finely Fettled eleven years ago to help businesses market to affluent and high-net-worth customers. He's the founder of MicroYES, a Partner of MeclabsAI, providing AI Agents, Workflows and Phone to Agent delivery systems. Now, Graham offers Answer Engine Optimisation so you get found by LLM search and Enterprise-level AI Solutions.Kevin ApplebyKevin specialises in finance transformation and implementing business change. He's the COO of GrowCFO, which provides both community and CPD-accredited training designed to grow the next generation of finance leaders. You can find Kevin on LinkedIn and at kevinappleby.comNOTE: Here's What Claude ThinksWhy copywriters are well-positioned:LLMs don't just scrape keywords; they evaluate coherence, clarity, and authoritative structureAnswer engines prioritise content that demonstrates expertise through well-reasoned arguments, not just SEO tricksCopywriters understand persuasion architecture - how to build credible cases that convince readers (and now, AI systems evaluating on behalf of readers)Direct response copywriters especially understand question-answer flow and anticipating objections - precisely what LLMs look for when synthesising answersThe critical shift required:Traditional copywriting optimises for human conversionAEO copywriting must optimise for AI comprehension then human conversionThis means explicit structure: clear topic sentences, logical progression, supporting evidence, contextual markersLess "clever" wordplay, more semantic clarity and entity relationshipsWhere copywriters have genuine advantage over AI-generated content:Domain expertise translation - taking complex client knowledge and structuring it authoritativelyEvidence marshaling - knowing which proofs, testimonials, data points establish credibilityQuestion anticipation - your direct response background means you already think in terms of buyer journey questionsUnderstanding what makes content citable and quotable by LLMsThe reality check: Those copywriters who were primarily executing formulaic landing pages or generic blog content were always vulnerable to AI displacement. But copywriters who can architect information authority - structuring expertise so AI engines recognise and cite it - that's a defensible, valuable skill.You're essentially asking: "Can craftspeople who've been building for human readers pivot to building for AI intermediaries who serve human readers?" The answer is yes, because the fundamental skill - persuasive information architecture - transfers directly.

In this episode of Product Momentum, we're joined by Bansi Mehta, founder and CEO of Koru UX Design, an enterprise healthcare UX agency supporting some of the US’s largest healthcare technology companies. We discussed the busy intersection of artificial intelligence, product management, and UX Design. Bansi's Sense – Shape – Steer framework helps guide UX design teams as they integrate AI into their products – and avoid the trap of AI's drive toward mediocrity that limits individual creativity and expertise. Here's what we learned: Avoiding the Trap: AI Solutions' Race to Mediocrity AI's ability to rapidly generate hi-fi prototypes and voluminous content brings great benefit, but also significant risk. The risk manifests in mediocrity – i.e., solutions that drive to the mean. This sense of “good enough” stifles designer creativity and diminishes the quality – the Delight – of the final product. “The speed of AI makes it easier than ever to churn screens,” Bansi says. “But it's designed to deliver to that average mean that allows us to say, ‘that works, that makes sense.' And that's really the trap….these days, there's less patience in the industry for discovery and research.” Introducing the Sense – Shape – Steer Framework To combat this new reality, Bansi developed the Sense – Shape – Steer framework to help teams navigate the complexity of building AI-powered products. Sense. Understanding the Problem/Opportunity.“Sense is where you're really creating that sense of what is worth solving,” Bansi explains. “It's the intersection of what the user needs, what insights we have in terms of their challenges, and the opportunities that are present. But we mustn’t stop there. We then look to see what AI can do for us. And where we see the intersection, that’s the sweet spot.” Shape. Designing the AI-Enhanced User Experience.We emerge from the Sense step with rich insights into our user's desired experience, Bansi continues. “And as we approach Shape, we do so with an emphasis on the kind of UX challenge that we are trying to solve – from the user’s perspective. Using a storyboard, we proceed frame by frame to define the user's journey, the problem that we are trying to accomplish.” Steer. Implementing, Evaluating, and Iterating.The Steer step comes once you have built something and you launched, Bansi says. “This is where we define and clearly articulate our AI eval criteria that we've said are critical for product success,” Bansi adds. “I've seen products make it or break it depending on whether they got their AI evals right. It’s one thing to hypothesize that your solution will work. But it’s a completely different thing when you actually try to build sophisticated agentic AI layers where there’s multiple configurations and prompts.”   Broader Insights, Future Outlook The conversation underscores the notion that while AI accelerates development and content generation, it also requires subject matter experts in UX and Product to demonstrate greater vigilance than ever to maintain quality and relevance. The Sense – Shape – Steer framework calls on product teams to think first about user needs before considering whether and how to integrate AI. Our episode with Bansi Mehta feels like the capstone conversation to recent episodes with Nesrine Changuel, Teresa Torres, and Oji Udezue, where we examined bringing Delight to the user experience, re-engaging Discovery in the development process, and adjusting to the Speed of today's AI-driven development. The post 182 / How ‘Sense Shape Steer' Helps UXers Design AI Solutions, with Bansi Mehta appeared first on ITX Corp..

In this episode, we explore the innovative journey of ValueJet, a Nigerian airline that has recently introduced Viki, the first AI concierge in Africa.  Temi Adjijola, the head of business program and IT at Value Jet, discusses the airline's mission to make flying accessible to more people in Nigeria, where air travel is still underutilized. Joining Temi is Rodger Whittle, Commercial Director and Juan Felipe Restrepo, Chief Product Officer at KIU System Solutions who created Viki and provide over 70 airlines worldwide with a comprehensive, cloud-based, AI-powered suite of IT services for airlines, focusing on Passenger Service Systems (PSS), Departure Control Systems (DCS), and a proprietary Global Distribution System (GDS).  The conversation delves into the challenges faced by the airline industry in Nigeria, the adoption of technology to enhance customer experience, and the significant role of AI in streamlining operations and improving service delivery. The guests also share insights on the future of AI in aviation, including potential applications in customer service, operational efficiency, and revenue management.  Chapters 00:00 Introduction to Value Jet and AI Concierge 06:42 Value Jet's Business Model and Market Positioning 12:45 The Role of AI in Enhancing Customer Experience 20:22 Industry Feedback and Adoption of AI Solutions 28:06 Future Applications of AI in Aviation 38:53 Expansion Plans and Strategic Growth for Value Jet CONNECT WITH RODGER CONNECT WITH JUAN CONNECT WITH TEMI  

Key Takeaways Laying groundwork: Weiner will be leading a session at the AI Kickstart Preconference, introducing attendees to Copilot Studio and how to build their first custom AI agent. He explains that the session will cover real-world examples and walk through agent creation, deployment, monitoring, and governance to help participants "get the groundwork to take advantage of the future days in the conference." Event takeaways: When discussing event takeaways, Weiner explains that the AI Agent & Copilot Summit will help leaders move from AI experimentation to real execution, turning curiosity into measurable business value across customer service, operations, and employee empowerment. Further, sessions will demonstrate how Microsoft 365 and Copilot Studio agents provide a low-barrier way to build secure, data-aligned AI solutions tied directly to business goals. Gaining a competitive edge: The event brings a unique take to the space as it unites both practitioners and partners to share real-world AI and Copilot use cases, helping make agents more practical, approachable, and grounded in tangible business outcomes to accelerate adoption, says Weiner. Visit Cloud Wars for more.

According to the World Bank, the real AI revolution in developing countries isn't coming from flashy mega‑models, but from small, low‑cost tools that solve local problems.Mahesh Uttamchandani, the organisation's Regional Practice Director for Digital and AI inEast Asia and Pacific and South Asia, sat down with Anshu Sharma from UN News during the India AI Impact Summit, and explained that these systems are cheaper to run, easier to adapt, and already delivering outsized impact.

Business Owners have plenty of challenges. We thought it would be helpful to invite Bill Squires to share his knowledge of those challenges, and more importantly, what to do about them in the next 100 days. Bill has a keen eye for commerce and finances. He wants to help individuals, teams, and businesses achieve their full potential. He has coached business owners (all with challenges), executives, and teams in all aspects of building rapid growth and profitable companies.Summary of PodcastBill Squires' background and coaching approachBill Squires discussed his background, including his experience in the oil industry, getting an MBA, and then transitioning into business coaching about 8 years ago. He emphasized the importance of helping clients develop a clear vision and plan for their business, rather than just jumping into execution. Bill shared his 90-day planning process and the value of accountability in driving results.Challenges facing business ownersBill outlined some of the key challenges he sees business owners facing, including finding enough leads and customers, hiring and retaining good people, and getting their team to be more accountable. He noted that many business owners are working long hours but not seeing the financial rewards they expect.The role of planning and goal-settingThe discussion explored the value of long-term planning, with Bill advocating for 5-year plans that get broken down into 90-day and weekly goals. Kevin challenged whether 5 years is too long to plan for, but Bill shared examples of clients who have achieved their ambitious 5-year goals by sticking to the plan.The evolution of coaching with technologyGraham and Bill discussed the potential for AI-powered coaching tools that could scale Bill's expertise, while noting the continued value of in-person coaching and the importance of accountability that a human coach provides. They explored how technology and human coaching could complement each other going forward.Bill's coaching offerings and exit strategyBill outlined his various coaching programs, including one-on-one, group, and community-based offerings. He also shared his plan to eventually step back from the business by bringing on additional coaches and a business development manager to sustain the community he has built.The Next 100 Days Podcast Co-HostsGraham ArrowsmithGraham founded Finely Fettled eleven years ago to help businesses market to affluent and high-net-worth customers. He's the founder of MicroYES, a Partner of MeclabsAI, providing AI Agents, Workflows and phone-to-agent delivery systems. Now, Graham offers Answer Engine Optimisation so you get found by LLM search and Enterprise-level AI Solutions.Kevin ApplebyKevin specialises in finance transformation and implementing business change. He's the COO of GrowCFO, which provides both community and CPD-accredited training designed to grow the next generation of finance leaders. You can find Kevin on LinkedIn and at kevinappleby.com

How do you ask for more money in a profession that's built on selflessness? In this episode of the Emory University series on nurse empowerment and advocacy, host Ama Mathewos sits down with Emory professors Dr. Catarina Fernandes (Goizueta Business School) and Dr. Kim Dupree Jones (School of Nursing) to unpack the art and science of negotiating your best nursing compensation.Together, they break down why negotiation isn't selfish, how systemic factors (gender, hierarchy, race) shape nurses' pay, and why nurses are often socialized to underestimate their own value. From understanding the difference between “fixed pie” vs. “integrative” negotiations to getting clear on your BATNA (Best Alternative to a Negotiated Agreement), this episode gives nurses language, frameworks, and confidence to advocate for themselves.Listeners will learn how to:Think beyond base salary and negotiate the whole compensation package (schedule flexibility, education support, childcare, role titles, and more)Use data, peer networks, and job interviews to understand their true market valueReframe negotiation as a way to improve patient care and strengthen organizations—not just “ask for more”Whether you're a bedside nurse, advanced practice nurse, faculty member, or leader, this conversation will help you own your worth, get paid closer to what you deserve, and push the profession toward fairer, more sustainable compensation.>>How to Negotiate Your Best Nursing Compensation PackageJump Ahead to Listen: [00:02:31] Hierarchy dynamics in healthcare. [00:04:43] Strategies for negotiating nursing compensation. [00:09:39] Understanding integrative vs. distributive negotiations. [00:11:34] How negotiation shows up in nursing roles. [00:15:05] Challenges tied to nurse reimbursement models. [00:19:05] Gender-based pay disparities in nursing. [00:24:35] Systemic barriers affecting nurse negotiators. [00:27:26] Gender influences on negotiation behaviors. [00:30:35] Advocating for and articulating nursing value. [00:35:07] Charge nurse duties and workplace pressures. [00:39:16] Preparing effectively for negotiations. [00:40:43] Considering non-financial elements in negotiation. [00:44:34] Approaches to negotiating salary. [00:49:02] Market-based factors that shape negotiation power. [00:51:08] Tactics for strengthening your salary negotiation. [00:55:05] Additional methods for optimizing salary outcomes. [00:58:39] Exploring compensation options beyond base pay. [01:01:50] Using accurate data to inform negotiations. [01:06:54] Viewing negotiation as a collaborative, constructive process. [01:09:21] Taking action to secure better compensation. For more information, full transcript and videos visit Nurse.org/podcastJoin our newsletter at nurse.org/joinInstagram: @nurse_orgTikTok: @nurse.orgFacebook: @nurse.orgYouTube: Nurse.org

Meta just made a multi-billion acquisition for AI agents.

Despite the ongoing questions and concerns facing our nation's tech giants, there's no slowdown when it comes to the government adopting artificial intelligence. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Send us a textIn this dynamic episode of Living the Dream with Curveball, we are excited to feature Antony Baker, founder and CEO of 15 Group. With a rich background that spans elite athletics and various business sectors, Antony shares his remarkable journey from world champion windsurfer and mixed martial artist to a leader in the consulting industry. He candidly discusses how his upbringing and experiences shaped his understanding of talent, trust, and transparency in business. Antony emphasizes the importance of people over strategy, revealing how he built his company on the principles of community-driven solutions and high performance. Listeners will gain valuable insights into the challenges of hiring and the pitfalls businesses often encounter, as well as the transformative power of AI in optimizing operations. Antony also opens up about his ADHD diagnosis and how it has become a superpower in his leadership style. Join us for an engaging conversation that inspires you to rethink your approach to business and personal growth. Discover more about Antony and his work at www.15group.com.Support the show

- Brighteon Broadcast News Introduction and AI Revolution Interview (0:10) - Collapse of Human Doctors and Pharmaceutical Industry (1:51) - Trump's Announcement and AI Replacements (11:06) - Economic Collapse and AI Solutions (12:06) - Replacing Congress with AI Agents (34:46) - AI Capabilities and Public Perception (52:28) - The Future of AI and Human Knowledge (1:23:58) - Psychological Barriers and Humility in AI Interaction (1:25:23) - The Future of the Book Industry (1:28:17) - Customization and Personalization in AI (1:35:16) - Advancements in AI and Human Cognition (1:36:27) - Investing in Personal Growth and Skills (1:40:16) - Decentralization and Privacy in AI (1:48:27) - The Role of AI in Personal and Professional Development (1:57:17) - The Future of AI and Robotics (2:07:23) - The Global Race in AI and Technological Advancements (2:10:21) - The Impact of AI on Employment and Society (2:18:24) For more updates, visit: http://www.brighteon.com/channel/hrreport  NaturalNews videos would not be possible without you, as always we remain passionately dedicated to our mission of educating people all over the world on the subject of natural healing remedies and personal liberty (food freedom, medical freedom, the freedom of speech, etc.). Together, we're helping create a better world, with more honest food labeling, reduced chemical contamination, the avoidance of toxic heavy metals and vastly increased scientific transparency. ▶️ Every dollar you spend at the Health Ranger Store goes toward helping us achieve important science and content goals for humanity: https://www.healthrangerstore.com/ ▶️ Sign Up For Our Newsletter: https://www.naturalnews.com/Readerregistration.html ▶️ Brighteon: https://www.brighteon.com/channels/hrreport ▶️ Join Our Social Network: https://brighteon.social/@HealthRanger ▶️ Check In Stock Products at: https://PrepWithMike.com

AI isn't just coming—it's already answering your phones. Richard Low sits down with Mango Voice's Richard May to uncover how practices are using AI to transcribe, summarize, and even respond to patient calls. From never missing a lead to smarter call audits, this episode reveals the AI tools changing the dental front desk forever.