Podcasts about Automation

In this episode of Great Women in Compliance, Dr. Hemma R. Lomax speaks with Sam Flynn, co-founder of Josef, about the transformation of legal and compliance functions through technology. They discuss the importance of human-centered design, the role of AI in legal architecture, and the need for trust in AI tools. Sam shares his journey from creating Myki Fines to building self-service legal solutions that bridge the access-to-justice gap. The conversation emphasizes the importance of user experience, governance practices, and the need to rethink traditional professional roles in the legal field. Takeaways: Legal and compliance functions must evolve to be more human-centered. AI can significantly enhance legal decision-making processes. Trust in technology is crucial for successful implementation. User experience should be prioritized in legal tech solutions. Automation can free up valuable time for legal professionals. Access to justice is a critical issue that can be addressed with technology. Rethinking traditional roles in law can lead to better outcomes. Data-driven insights can improve compliance practices. Collaboration between experts and end-users is essential for success. Legal technology should focus on delivering real value to users. Sound Bites: "AI should unleash human potential." "Trust is the key to unlocking value." "We need to build trust in our technology." Chapters: 00:00 Introduction to Legal Transformation 02:32 The Journey of Sam Flynn and Mickey Finds 05:30 Rethinking Legal Systems and Design 08:10 Substance Over Form in Legal Processes 10:56 The Role of AI in Legal Architecture 13:39 Building a Legal Front Door 16:24 User Experience in Compliance 18:54 Engagement and Data Utilization 21:56 The Future of Legal Workflows 24:29 Deciding Between Automation and Human Input 26:56 Navigating High-Risk Inquiries 27:50 Strategic Automation for Stakeholder Engagement 28:58 The Importance of Human Expertise in AI 30:57 Transforming Fear into Opportunity with AI 32:59 Building Trustworthy AI in Legal Settings 36:56 Governance Practices for AI Deployment 43:51 Access to Justice: Bridging Gaps with Technology Guest Biography: Sam Flynn is the Co-Founder and Chief Operating Officer of Josef, a legal automation platform that empowers legal and compliance teams to create reliable, self-serve tools — no coding required. In his role, Sam leads Josef's business operations, governance, marketing, and customer success functions, scaling both product impact and organizational trust. An ex-BigLaw litigator and experienced legal technologist, Sam has long been passionate about using technology to bridge the access-to-justice gap and elevate the delivery of legal services. In 2016, he built Myki Fines, a public-facing legal tech solution that attracted more than 60,000 users in its first month and helped catalyze reforms to unfair laws. At Josef, Sam combines legal expertise with product and operational leadership to help teams rethink how legal and compliance work gets done — shifting from inbox-driven bottlenecks to strategic architectures that deliver decision-useful guidance at scale. He is a frequent speaker on generative AI in legal, a board member of the Center for Legal Innovation, and an advocate for human-centered legal design.

Back by popular demand! - Investment researcher, Jason Purcell stopped by to discuss his latest insights into global markets, automation adoption and another financial crisis? Find Jason Purcell:: Substack:⁠ https://purcellresearch.substack.com⁠ Twitter/X: @JasonsDeli1821 Exclusive Content and Ways to Support: Support me on Substack for ad-free content, bonus material, personal chatting and more! https://substack.com/@monicaperezshow Become a PREMIUM SUBSCRIBER on Apple Podcasts for AD FREE episodes and exclusive content! True Hemp Science: ⁠⁠⁠https://truehempscience.com/⁠⁠⁠ PROMO CODE: MONICA Find, Follow, Subscribe & Rate on your favorite podcasting platform AND for video and social & more... Website: ⁠⁠⁠https://monicaperezshow.com/⁠⁠⁠ Substack:⁠⁠⁠ https://substack.com/@monicaperezshow⁠⁠⁠ Rumble: ⁠⁠⁠https://rumble.com/user/monicaperezshow⁠⁠⁠ Youtube: ⁠⁠⁠https://www.youtube.com/c/MonicaPerez⁠⁠⁠ Twitter/X: @monicaperezshow Instagram: @monicaperezshow Learn more about your ad choices. Visit megaphone.fm/adchoices

A Note from Michael: The Thriving Farmer Podcast is currently on pause as we navigate a busy season on the farm. While we're taking this break, we're excited to share Farm in Focus, a special series of short, focused conversations recorded earlier this year. These bite-sized episodes highlight practical insights from farmers and experts across the industry. We hope they're helpful and encouraging as you continue your farming journey. How can technology help farmers save labor, increase efficiency, and monitor their farms in real time? In this Farm in Focus episode, Michael is joined by Nathan Rosenberg, CEO and co-founder of FarmBlox, to explore the biggest trends shaping farm technology today. From robotics to sensors to drones, Nathan breaks down which innovations truly move the needle — and which ones are more hype than help. Nathan explains why labor-saving tools are the top priority for most farms today, how sensors can automate tasks like monitoring maple syrup sap runs, and why theft prevention is becoming a critical need in orchards and high-value crop production. He also shares practical advice for farmers interested in adopting new technology without getting overwhelmed or oversold. Whether you're curious about automation or just want smarter ways to solve farm pain points, this conversation will help you understand what's worth paying attention to — and what to ignore.   In this episode, you'll hear about: Farm Tech Trends: • Why labor is the biggest cost driving innovation [1:53] • Where robotics and remote sensing are making the biggest impact [04:10] Real-World Applications: • How sensors can automate maple syrup production and orchard monitoring [04:32] • Why theft prevention is becoming a major tech need in agriculture [07:20] Drones & Data: • What drones can (and can't) do for farmers [09:55] • Using real-time monitoring to catch issues early [10:50] Practical Advice for Farmers: • Why "start small" is the smartest approach to adopting new tech • How to identify the pain points worth solving before investing About the Guest: Nathan Rosenberg is the CEO and Co-Founder of FarmBlox, a platform that gives farmers tools to build their own automation systems — connecting sensors, equipment, and real-time data to a simple app. With a background in robotics engineering and over a decade of experience building large-scale IoT networks, Nathan brings a deep understanding of how automation, AI, and practical engineering intersect on real farms. Links:

Welcome to The Chrisman Commentary, your go-to daily mortgage news podcast, where industry insights meet expert analysis. Hosted by Robbie Chrisman, this podcast delivers the latest updates on mortgage rates, capital markets, and the forces shaping the housing finance landscape. Whether you're a seasoned professional or just looking to stay informed, you'll get clear, concise breakdowns of market trends and economic shifts that impact the mortgage world.In today's episode, we look at the rise of affordability programs like down payment assistance (DPA). Plus, Robbie sits down with TRUE's Steve Butler for a discussion on why lenders start automation too late by focusing on late-stage checks instead of intake, even though most costs are created early, and how to move certainty upstream. And we close by looking at this week's shortened economic calendar.Today's podcast is brought to you by Optimal Blue, the only end-to-end capital markets platform built to power performance, precision, and profitability, helping lenders of all sizes operate more efficiently, manage risk more effectively, and maximize results.

Brent Peterson sat down with Jorrit Steinz, founder and CEO of ChannelEngine, to discuss one of the most transformative shifts in ecommerce today: agentic commerce. The conversation covered how brands and retailers must rethink their multi-channel strategies now that AI-powered agents, from ChatGPT to Microsoft Copilot, are becoming transactional shopping platforms. With marketplaces multiplying, social commerce expanding, and LLMs entering the buying funnel, the episode delivered a forward-looking perspective on what merchants need to do right now to stay competitive.TakeawaysThe ultimate vision of agentic is consumer empowerment.Consumers will deploy agents to find products online.Agents will scrape the internet for purchasing options.In B2B, agents will facilitate shopping across platforms.Automation will enhance the shopping experience.The future of shopping involves digital agents.Agents will present curated options to consumers.B2B transactions will become more efficient with agents.The role of agents is expanding in digital commerce.Consumer agents will revolutionize how we buy. Chapters00:00 Introduction to Channel Engine and E-commerce Passion00:23 The Role of APIs and Data Feeds in E-commerce

In this episode, Lauren Lewis sits down with Carmelo Morreale, Owner and Partner of Metrodata Services, a nationally accredited pre-employment screening company based in Buffalo, NY. Carm shares his journey from starting as an intern in 2009 to eventually purchasing the company with his business partner in 2022. What started as “just a job” turned into a career rooted in accountability, compliance, and community. Together, Lauren and Carm discuss: The pain points of buying the business you once worked for What national accreditation really means in the background screening industry Why transparency matters — with clients and with your team The real cost of a bad hire (and why screening matters more than ever) Automation, compliance, and how the industry has evolved The importance of consent, privacy, and doing things the right way How strong partnerships (in business and with clients) drive growth Building a team culture rooted in accountability and serviceThey also dive into the nuances of pre-employment screening, from drug testing to international checks to continuous monitoring. They explain why education and customer service are just as important as the report itself.If you're a business owner, HR leader, or hiring manager, this episode offers a practical and honest look at what happens behind the scenes before someone joins your team, and why it matters.

Most business owners are barely scratching the surface of AI — and it's costing them speed, clarity, and competitive advantage. If you're using AI to: "Write me an email." "Create 5 social posts." "Give me some ideas." You're driving a Ferrari at 25 mph. In this episode of SoTellUs Time, Trevor and Troy Howard break down how to stop using AI like a search engine and start using it like a strategic execution partner. This is not about better prompts. It's about Prompt Stacking — the method that turns AI into your marketing department, project manager, operations assistant, and execution engine.

Have questions, feedback, or thoughts on the show? We want to hear from you! Click on this link to send us a text message. Across the grain industry, facility leaders are navigating a level of uncertainty we haven't seen in years. Volatile commodity markets. Weather extremes. Labor shortages. Tighter margins. Rising expectations around safety, uptime, and quality.In this episode of the Whole Grain Podcast, host Jim Lenz sits down with Matt Koch, Chief Marketing Officer at Sukup Manufacturing Co., to explore what it really takes to operate a modern grain facility in today's unpredictable environment.From macro market pressures and geopolitical shifts to storage strategy, grain conditioning risk, and practical automation, this conversation moves beyond equipment to systems thinking. Matt shares a global perspective from working with producers, commercial elevators, terminals, and processors across more than 100 countries.The takeaway? Long-term success isn't just about buying low and selling high. It's about reducing loss, designing resilient systems, and operating dependably—year after year.What You'll Learn• Why many operators are shifting from short-term optimization to 3–7 year strategic planning • How global trade, energy markets, and geopolitics are shaping grain infrastructure decisions • Why storage is becoming a strategic lever—not just capacity • The hidden risks of large-bin consolidation and long-term storage • How under-designed aeration systems quietly erode margins • Why CO₂ monitoring often detects grain issues before temperature spikes • What meaningful automation actually looks like in commercial facilities • How modular OEM automation systems can improve safety and consistency • Why preventing loss often matters more than market timingKey ThemesStorage as StrategyWell-designed storage allows operators to create market flexibility, improve throughput, standardize multi-site operations, and reduce management complexity. Scale has changed the game—and infrastructure must evolve with it.Grain Conditioning RiskAs bins grow larger, risk grows with them. Consolidated storage requires tighter monitoring. CO₂ levels, moisture control, proper fan management, and active oversight are critical to protecting grain value over long-term storage cycles.Automation for Real-World OperationsAutomation isn't about flashy control rooms. It's about preventing operator error at 2:00 a.m., improving safety, supporting lean teams, and ensuring consistent procedures across facilities.Loss Prevention Over SpeculationWhile commodity markets drive headlines, operational discipline drives profitability. Reducing spoilage, minimizing downtime, and designing dependable systems may be the most powerful competitive advantage.Learn more at: www.sukup.comGrain Elevator and Processing Society champions, connects and serves the global grain industry and its members. Be sure to visit GEAPS' website to learn how you can grow your network, support your personal professional development, and advance your career. Thank you for listening to another episode of GEAPS' Whole Grain podcast.

Connect to John Gilroy on LinkedIn   https://www.linkedin.com/in/john-gilroy/ Want to listen to other episodes? www.Federaltechpodcast.com Way back in 2011, one of the goals of FedRAMP was to eliminate software redundancy. The federal government had evolved to the point where one agency would spend millions of dollars on the same application program that the agency in the same zip code had just invested heavily in. The theory proposed by luminaries like Vivek Kundra was to move to the cloud to share services. Reducing cost and improving resilience. FedRAMP was the initiative that established a safe environment for federal cloud use. Companies can comply with regulations outlined in an Authorization to Operate (ATO). Well, fifteen years later, and we are seeing the same duplication not in the application programs, but in the process to get the ATO itself. For example, FedRAMP, RMF, and agency internal policies may require specific artifacts to satisfy one or the other. During the interview, Travis Howerton paints the legacy model—static documentation, annual/3-year audits, spreadsheets. His solution is to have AI assist with documentation, which will drastically reduce compliance time; he cites an example of reducing a process from 52 weeks to 356 weeks. RegScale uses OSCAL (XML/YAML/JSON) to auto-generate RMF artifacts and integrate with SIEMs (Splunk, Elastic), Axonius, ServiceNow, and APIs. Howerton understands the limitations of many automated systems and suggests that a human is a key component after the machine language has assembled the data to make the decision.    

In Episode 103 of the Digital Velocity Podcast, Erik Martinez sits down with Kaitlyn Study, entrepreneur and owner of South Street and Co., to explore what it really means to move from experimenting with AI to fully operationalizing it inside your business. Over the past year, Kaitlyn has automated "250 plus tasks across her business," transforming repetitive processes into structured, strategic systems. As Erik frames it, this conversation is about "automating and operationalizing AI in your business, not the nuts and bolts of which buttons to click, but why this matters strategically and how it becomes a real competitive advantage." Kaitlyn's journey began with a simple realization: "How can I clone myself without using math and science?" After experiencing team turnover and the strain of repetitive operational work, she turned to tools like Zapier, N8N, and AI platforms to eliminate friction and create clarity. The result wasn't just time savings, it was precision. As Kaitlyn explains, "If the automation doesn't work, I know that I did something wrong and didn't correctly portray what I was trying to get out of it." That level of accountability changed how her agency manages hiring, time tracking, sales follow-ups, and capacity planning. Listeners will gain practical, cross-industry insights, including: ·         Why "auditing your time" is the first step toward meaningful automation ·         How to identify "friction" points that signal automation opportunities ·         Why "you have to test it and test it and test it" when integrating AI into workflows ·         How freeing "brain space" allows leaders to focus on higher-level strategic thinking ·         Why the goal "is not to replace people" but to "have you do better, higher level work that you're really great at" For direct-to-consumer brands, agencies, and growth-focused executives, this episode offers a roadmap for scaling operations without sacrificing creativity or culture. Automation, when applied thoughtfully, becomes evolution, not revolution. As Kaitlyn emphasizes, "The goal is not to replace people. It's to have you do better, higher level work that you're really great at, and to have the nuanced, repetitive tasks taken care of." If you're serious about turning AI from a tool into a competitive advantage, this episode is a must-listen.

Episode Summary:In this episode, we explore the significant shifts in the job market driven by AI and automation, emphasizing the importance of skills over traditional job titles. Trevor Houston highlights essential skills for the future, including adaptability, emotional intelligence, and financial literacy. Listeners are encouraged to repackage their existing skills, build a strong personal brand, and embrace continuous learning to stay relevant in a rapidly changing landscape.Resources:Trevor Houston on LinkedIn: https://www.linkedin.com/in/trevorhouston/Career Transition Summit: https://event.webinarjam.com/register/67/04404igv LinkedIn e-book: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://online.flippingbook.com/view/714118097/⁠⁠⁠⁠⁠⁠⁠  ⁠⁠⁠⁠⁠⁠⁠Subscribe: ⁠⁠⁠⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/who-ya-know-show ⁠⁠⁠⁠⁠⁠⁠⁠Trevor Houston is a licensed financial professional offering insurance/financial products through various carriers. For more info visit ⁠⁠⁠⁠⁠⁠⁠⁠http://cpwstrategies.comChapters:(00:00) The Shift to Skills Clusters(03:02) Adapting to the Skills Economy(05:49) The Importance of Continuous Learning(08:11) Building a Personal Brand(11:00) Essential Skills for the Future(13:42) Strategic Reskilling and Adaptability(16:25) Creating a Skills Portfolio(19:20) The Power of Discipline and Transformation

The Future of AI in Presales: Beyond Demo Automation In this episode, Jack Cochran is joined by Nalin Senthamil, Founder and CEO of Storylane, to discuss the evolution of AI in presales beyond simple demo automation. They explore the hidden costs of demos, how the buyer themselves are becoming AI-powered, and the emergence of AI tools for sellers, much like Storylane has developed with RepEx Thank you to Storylane for sponsoring this episode! Visit Storylane.io to learn more. Follow Us Connect with Jack Cochran: https://www.linkedin.com/in/jackcochran/ Connect with Nalin Senthamil: https://www.linkedin.com/in/nalinpradeep/  Links and Resources Mentioned Join Presales Collective Slack: https://www.presalescollective.com/slack RepEx (AI buyer engagement platform): Available at https://www.storylane.io/ Key Topics Covered Nalin's Journey from Amazon AI Engineer to Demo Automation Founder The Hidden Cost Per Demo AI at the Infrastructure Level RepEx: The Next Generation of Buyer Engagement The Context Handoff Problem Presales as Strategic Advisors in 2026 Timestamps 00:00 Welcome 03:15 Nalin's Background: From Amazon AI Engineer to Storylane Founder  05:54 The Cost Per Demo Problem and Demo Automation Impact  13:24 What are we leaving behind with AI, and what remains human?  20:00 RepEx Launch: Beyond Traditional Chatbots  26:25 The Importance of Context in the Buyer Journey  28:54 How Presales Teams Can Prepare for AI Integration  30:15 Final Advice: Building Long-Term AI Capabilities in Presales

Welcome back to The New Warehouse Podcast. In this episode, Kevin chats with Darin Brannan, CEO of Terminal Industries, about why yard automation has become a critical missing link in supply chain modernization. Brannan shares how Terminal Industries is rethinking the yard as a data-rich, automated environment rather than a manual afterthought. The conversation explores why yards have lagged behind warehouses in technology adoption, how computer vision and AI are changing that reality, and what the future holds for autonomous yard operations. Together, they unpack the operational, financial, and strategic impact of treating the yard as a true extension of the warehouse and transportation network.Learn more about Sonaria here. Follow us on LinkedIn and YouTube.Support the show

In this episode of Talking Industrial Automation, host Lisa Richter sits down with Guru Thakkar, Director of Engineering at Inflexion Point in Neptune, New Jersey. With more than 20 years of experience across pharmaceutical, life sciences, food & beverage, utilities, and building automation, Guru shares how disciplined front-end engineering, standardization, and strong technical fundamentals set the stage for long-term success. From scaling Inflection Point organically from 40 to over 100 employees, to supporting Operation Warp Speed during COVID, Guru explains why early design decisions, rigorous testing, and lifecycle thinking matter more than ever. The conversation explores: What it really means to "put the brain" into industrial systems Why turnkey integration across all layers (from sensors to enterprise systems) is becoming essential How system integrators are navigating AI, cybersecurity, and digital transformation The growing complexity of pharma manufacturing and single-use equipment Why trust, repeat business, and sound non-technical business practices drive sustainable growth Whether you're an end user, engineer, or integrator, this episode offers a thoughtful look at how intelligent systems are shaping the future of process automation—and why fundamentals still matter in a rapidly evolving landscape.

I was recently stuck in an airport for 6 hours while my flight got more and more delayed. But instead of being mad about it, I realized something: this was a blessing of forced downtime.And while I'm usually really good about taking time off, I know many solopreneurs who aren't. We feel like we need to work or the business will crumble. I was there a few years ago.But the good news is it's not true. You can take time off and still have a thriving business. And in today's episode, I tell you how.Want to start creating more space in your business? Check out my free tools audit so you can make sure the apps and gear you use to run your business are actually helping you, not hurting you: https://streamlinedsolopreneur.com/tools/What do you think? Leave feedback at https://streamlinedfeedback.com Simplify your tech stack at  https://streamlined.fm/tools ★ Support this podcast ★

Dawn Stallwood has close to 30 years serving and working closely with leaders and their management teams – including executive assistants and chiefs of staff.In this episode of The Leader Assistant Podcast, Dawn talks about how EAs bring space and perspective to CEOs and their teams, what beautiful leadership is, and what she's seeing in the professional space related to automation and EAs.Show Notes -> leaderassistant.com/363--It's the last day of the offsite and it was exactly what the team needed. The CEO pulls you aside to say, “Thank you. This was next level.”Your secret? You used Offsite. They handled the venues, negotiations, and logistics – so you could focus on shaping the experience.Sound too good to be true? It's actually within reach. (And it can even save you money.)See how at leaderassistant.com/offsite. --Are you ready to level up? Enroll in The Leader Assistant Academy at leaderassistant.com/academy to embrace the Leader Assistant frameworks used by thousands of assistants.More from The Leader Assistant... Book, Audiobook, and Workbook -> leaderassistantbook.com The Leader Assistant Academy -> leaderassistantbook.com/academy Premium Membership -> leaderassistant.com/membership Events -> leaderassistantlive.com Free Community -> leaderassistant.com/community

In this episode, we bring you a live panel from InsTech's May event at CodeNode, exploring how automation is reshaping claims in the Lloyd's and London market — and why the belief that specialty is too complex to automate no longer stands.  Moderated by Matthew Grant, CEO of InsTech, the panel features Simon White, Chief Claims Officer at Apollo, Aidan O'Neill, Founder and CEO of DOCOsoft, and Zoe Woods, Claims Improvement Manager at Lloyd's.  Specialty claims have long been viewed as too bespoke, too nuanced and too reliant on human judgement for automation to play a meaningful role. But as underwriting becomes algorithmic and distribution turns digital, claims can no longer lag behind.  This conversation moves beyond theory to evidence. Automation is already embedded in live workflows across the market. The firms adopting early are seeing measurable operational gains.  In this conversation, they share:  Why the myth that specialty claims cannot be automated is finally breaking down  How Apollo processed more than 23,000 claims through automated checks, cutting handling times to under a working day  What happens when you ask claims handlers to map every task they repeat on each file  Why automation should augment decision-making rather than create black boxes  How structured data and integrated dashboards unlock meaningful AI use cases  What Lloyd's is doing to balance innovation with oversight in a syndicated market  Why modular, plug-and-play services are replacing large-scale transformation programmes  What specialty can learn from automation in motor and property lines  Why starting small with repeatable processes creates fast, tangible wins  How claims is shifting from cost centre to strategic differentiator  If you like what you're hearing, please leave us a review on whichever platform you use or contact Matthew Grant on LinkedIn.  Sign up to the InsTech newsletter for a fresh view on the world every Wednesday morning.

You've tried AI for content creation. It didn't work. And you probably blamed yourself.In this episode, I'm breaking down the real reason your AI content sounds generic, lifeless, and nothing like you, and it has nothing to do with your prompts, your training, or the tools you're using. The problem is structural, and almost nobody in the content creation space is talking about it because there's too much money being made selling the broken version.I'll walk you through the three specific reasons the prompt-first approach fails, share the accidental discovery that changed how I use AI for my clients, and introduce you to the five Foundation Documents that make AI actually sound like a real human being with real opinions wrote the content.If you've ever spent 45 minutes trying to get ChatGPT to "add more personality" and ended up writing the whole thing yourself anyway, this episode is for you.Plus, I'm officially opening the doors to The AI Content Club, my brand new monthly membership where I build your Foundation Documents personally and deliver custom content in your voice every single month. Beta is limited to 10 founding members.Key Takeaways1. The problem isn't your prompts. When you open a fresh AI chat and ask it to write for you, you're asking a stranger to speak in your voice. A smarter stranger is still a stranger. Better prompts don't fix the fundamental issue of missing context.2. AI defaults to average without context. Every new conversation starts from zero. No memory of your brand, your audience, or your voice. Without that information, AI produces the most statistically probable (and most forgettable) version of whatever you asked for.3. Foundation Documents change the equation. Five strategic documents, a Voice Analysis, Brand Messaging Manual, Ideal Client Profile, Writing Rules, and Content Pillars, give AI everything it needs to stop guessing and start producing content that sounds like you wrote it on your best day.4. This is amplification, not automation. Automation removes the human. Amplification multiplies the human. Foundation Documents turn AI into a tool that extends your voice rather than replacing it with something generic.5. You build once and benefit forever. Foundation Documents eliminate the redundancy of re-explaining your brand every time you open a new chat. The context compounds over time, making every piece of content better than the last.Quotables From This Episode"A stranger with better prompts is still a stranger.""Your audience didn't follow you because you sound like the average. They followed you because you sound like you.""Asking AI to 'add more personality' is like asking someone who's never heard music to play something with more feeling. They don't know what feeling sounds like. They'll just play louder.""Generic is dying. Specific is everything.""AI without context produces generic content. AI with context produces content that sounds like you wrote it on your best day."Resources MentionedJoin The AI Content Club (Beta, 10 spots only): https://bossladybloggers.com/ai-content-clubQuick Reference: The Five Foundation Documents1. Voice Analysis — Captures how you actually sound. Sentence patterns, signature phrases, words you'd never use, your rhythm when teaching vs. selling vs. storytelling.2. Brand Messaging Manual — Captures what you believe. Your convictions, your hot takes, the...

What happens when the noise around AI starts to drown out the actual business value it is meant to deliver? In this episode of Tech Talks Daily, I sat down with Adam Field, Chief AI and Product Officer at Tungsten Automation, fresh from the conversations unfolding at Davos. While headlines continue to celebrate agentic AI and sweeping automation claims, Adam offered a grounded perspective shaped by decades of experience turning AI pilots into measurable, ROI-driven deployments. His view is simple. The hype cycle may be accelerating, but many organizations still struggle with the fundamentals. Adam described a common boardroom dynamic. "What do we want? AI. What do we want it to do? We're not sure." That pressure to move fast often collides with a deeper reality. Software has shifted from deterministic to probabilistic. Leaders who grew up expecting the same inputs to always produce the same outputs now face systems that behave differently by design. Measuring value in that environment requires a different mindset. One of the most compelling ideas in our conversation was Adam's concept of "boring AI." While splashy announcements about replacing hundreds of employees grab attention, he argues that real returns often come from quieter use cases. At Tungsten Automation, that means intelligent document processing, extracting trusted, AI-ready data from the 80 percent of enterprise information that is unstructured. Contracts, invoices, transcripts, compliance paperwork. The work may not trend on social media, but it saves time, improves accuracy, and fits directly into daily workflows. We also explored accountability. AI can compress output, but it concentrates responsibility. When generative tools make architectural or compliance decisions, the liability does not shift to the model. Organizations remain accountable for privacy, ethics, and customer trust. Adam shared his own experience rebuilding a legacy application in days using AI code generation, only to discover licensing and compliance nuances that required human judgment. The lesson was clear. AI amplifies capability, yet human oversight remains essential. For leaders searching for signals that an AI strategy will actually deliver long-term returns, Adam pointed to two patterns from the small percentage of projects that succeed. First, integration into daily workflows drives adoption. Second, partnering with trusted vendors often reduces risk compared to attempting everything in-house. In a world flooded with open-source experiments and "X is dead" headlines, discipline and focus still matter. Tungsten Automation has spent four decades evolving alongside automation technologies, previously known as Kofax. Today, the company applies large language models and agentic workflows to transform unstructured data into decision-ready insights across finance, logistics, banking, and insurance. It is a reminder that the future of AI may be less about replacing people and more about removing friction so humans can do the work they were actually hired to do. So as AI investment continues to grow and pressure for returns intensifies, the question becomes harder to ignore. Are we chasing the headlines, or are we building systems that quietly deliver value where it counts? Useful Links Connect with Adam Field Learn more about Tungsten Automation Upcoming Events

Timothy Cook, M.Ed., is an educator, researcher, and strategic advisor working at the intersection of cognitive development, AI, and learning design. His work identifies the human capacities that remain essential in an AI-mediated world and advises on practical ideas for cultivating them in schools.   In this engaging conversation, Vinny Vallarine and Tim Cook explore the intersection of AI and education, discussing the implications of technology on cognition, the need for educational reform, and the importance of critical thinking. They delve into the potential dystopian future of AI, the role of intent in technology, and the necessity of individual agency in navigating the digital landscape. The discussion emphasizes the importance of dialogic learning and the need to adapt educational incentives to foster innovation and creativity in the age of AI. In this engaging conversation, Tim Cook and Vinny Vallarine explore the implications of automation and AI on the future of work, discussing the potential need for universal basic income and the challenges of job displacement. They delve into human values in an increasingly automated world, emphasizing the importance of maintaining a human element in decision-making processes. The discussion also touches on parenting in a digital age, the psychology behind marketing, and the need to optimize for peace and stability in life rather than relentless pursuit of success. Find Tim's work at connectedclassroom.org.  Key takeaways from this episode: The podcast explores a wide range of topics, emphasizing the intersection of different domains. Tim Cook discusses his background in education and the impact of AI on cognition. The conversation highlights the need for educational systems to adapt to the integration of AI. Concerns are raised about the potential dystopian future of AI and its implications for society. The importance of intent in technology and education is emphasized throughout the discussion. Incentives in education need to shift from output-based to process-oriented learning. The difference between retrieval and synthesis in learning is crucial for developing critical thinking skills. The future of education will require a focus on developing thinking skills rather than just content knowledge. Cognitive privacy and the implications of behavioral data collection are discussed. Global perspectives on AI reveal varying approaches and challenges in education. The dangers of homogenization in thought due to AI reliance are highlighted. The importance of critical thinking and individual agency in the age of AI is stressed. Dialogic learning is presented as a beneficial approach to education. The role of struggle in innovation is discussed, emphasizing that necessity drives creativity. Automation may lead to job displacement, raising questions about universal basic income.   Increased efficiency from AI should benefit all, not just a few companies. Human value lies in the ability to ask meaningful questions and synthesize knowledge. AI can augment human capabilities but should not replace the human element in decision-making. Parents face challenges in navigating their children's digital experiences and privacy. Marketing strategies often exploit psychological principles to influence consumer behavior. Optimizing for peace and stability can lead to a more fulfilling life than chasing material success. The perception of American soft power is changing in the global landscape. AI's potential to solve complex problems highlights the importance of human inquiry. The future of education may involve self-directed learning with AI as a supportive tool.

Every enterprise is building an AI stack, but most are doing it wrong. In this episode, Ross breaks down a tactical, use-case-driven framework for building an AI stack that actually works. If you're a marketer, operator, or executive looking to leverage AI strategically (without blowing your budget or ignoring compliance), this episode gives you the structure you need to win. Key Takeaways and Insights: 1. The Hard Truth About Enterprise AI - Most companies choose AI tools based on hype, not strategy. - Vendor pitches and social buzz are driving long-term contracts. - Locking into the wrong platform can create scaling and security nightmares. - The AI landscape changes weekly, three-year commitments require serious thought. 2. There Is No “Best” AI Tool - The right question isn't “What's best?” but “What's best for this use case?” - Different teams (marketing, engineering, finance) need different tools. - Constraints, industry, and goals should guide tool selection. - Build a stack…Don't look for a silver bullet. 3.  The 5-Layer AI Stack Framework - Layer 1: Writing & Communication Tools - Layer 2: Research & Analysis - Layer 3: Code & Technical Execution - Layer 4: Automations & Workflow Integration - Layer 5: Security & Compliance 4. Training, Ownership & Continuous Improvement - AI adoption fails without real, ongoing training. - Appoint an AI stack owner responsible for optimization and updates. - Create internal systems (e.g., Slack channels) to share prompts and workflows. - Capture institutional knowledge so it doesn't leave with one employee. 5. Start Small, But Start Strategic - Don't wait for “the perfect moment.” AI is already reshaping competition. - Experiment but build security and compliance from day one. - Budget realistically for training, tools, and maintenance. - Strategic AI adoption is a long-term competitive advantage. Resources & Tools:

Summary In this episode of the AI for Sales podcast, host Chad Burmeister speaks with Justin Trombold, an expert in generative AI and sales strategy. They discuss the importance of AI readiness, the transformation of customer experience through AI, and the balance between automation and personalization in sales. Justin emphasizes the need for organizations to align their AI strategies with their overall business objectives and to overcome misconceptions about AI's capabilities. The conversation highlights the potential of AI to enhance sales processes and improve customer engagement while addressing the challenges that come with implementing AI solutions. Takeaways Generative AI readiness is crucial for organizations. Data quality is just one aspect of AI readiness. AI can significantly enhance customer experience. Sales teams should focus on higher order tasks. Misconceptions about AI can hinder its adoption. Automation should augment human capabilities, not replace them. Collaboration across departments is essential for success. Understanding AI's limitations is key to effective use. Sales strategies must align with AI capabilities. AI can help sales reps focus on relationship building. Chapters 00:00 Introduction to AI in Sales 02:50 Understanding Generative AI Readiness 05:54 Transforming Customer Experience with AI 08:26 The Role of AI in Sales Strategy 11:30 Overcoming Misconceptions about AI 14:12 Balancing Automation and Personalization 17:09 Future of AI in Sales and Customer Engagement The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth. Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

Scott talks with Mark Gebert from Verizon about something that sits at the heart of every reliable enterprise network: testing. Automation is moving fast in the telco world, but automation without testing is just an accident waiting to happen. They unpack what makes enterprise service provisioning so complex—multi-vendor networks, optical and IP gear, security functions,... Read more »

Curious? Watch Our Money Makeover Bootcamp!Ready? Buy Our Simplified Budget System Now!Hey budget besties — today we're hanging out with Jamie (Twin Cities, MN!) to talk about what it actually looked like to go from “shooting from the hip and hoping for the best” to having a real plan, real peace, and real progress.Jamie and her husband Kevin have been together since they were teenagers (married 23+ years), and like a lot of us, they weren't raised with money skills modeled clearly. They'd do “a program” for a while, fall out of rhythm, and then drift back into chaos. Add in big-life curveballs (home repairs, medical stuff, kids getting older, college around the corner), and it hit a breaking point: the stress and uncertainty started feeling too expensive to ignore.So they brought in coaching — and everything changed.Let's Take Our Relationship To The Next Level:1️⃣ Facebook Group ➡︎ budgetbesties.com/facebook2️⃣ Be on the Podcast ➡︎ budgetbesties.com/livecall3️⃣ Private 1-on-1 Coaching. ➡︎ budgetbesties.com/coachingThis podcast is for educational and informational purposes only and is not personal financial, legal, or tax advice.This description may contain affiliate links, meaning we may get a commission at no cost to you if you click & purchase.Click here to view our privacy policy.

Send a textMike Romance has spent nearly two decades operating at the intersection of manufacturing engineering, automation, validation, and operations leadership within the life-sciences ecosystem. His career spans startups and established organizations alike, with hands-on experience taking products from early development through GMP-ready, high-volume production. Across roles in process development, automation, quality systems, and manufacturing strategy, Mike has built a reputation for combining technical rigor with pragmatic execution.Most recently at Quantum-Si, Mike played a central role in scaling operations to support the commercialization of the Platinum protein sequencing platform while laying the groundwork for next-generation technologies like the Proteus platform. Working within a lean and highly agile leadership team, he helped establish scalable manufacturing foundations spanning CM-managed instrument supply, internal reagent kit production, and advanced silicon-based consumables—while navigating the realities of fast-moving product roadmaps and constrained resources.Earlier in his career, Mike held engineering and leadership roles at organizations including Illumina, Dexcom, GenMark Diagnostics, Truvian, and Encodia. Along the way, he's led pilot-line development, automation strategy, equipment qualification, validation programs, and process controls—often in environments where the path forward wasn't clearly defined.What sets Mike apart is not just his command of acronyms—GAMP, CQV, QbD, DFSS, FMEA—but his philosophy that systems only work when people do. He actively practices emotionally intelligent leadership, prioritizing trust, clarity, and psychological safety while still holding teams to high technical and operational standards. As Mike explores his next chapter, this conversation focuses on the lessons he's learned building resilient manufacturing systems—and the kind of organizations where he believes he can make the biggest impact next.LINKS:Guest LinkedIn: https://www.linkedin.com/in/mikeromance/Aaron Moncur, host The Wave is  a place for engineers to actively learn, share ideas, and engage with people doing similar work. Learn more at thewave.engineer Subscribe to the show to get notified so you don't miss new episodes every Friday.The Being An Engineer podcast is brought to you by Pipeline Design & Engineering. Pipeline partners with medical & other device engineering teams who need turnkey equipment such as cycle test machines, custom test fixtures, automation equipment, assembly jigs, inspection stations and more. You can find us on the web at www.teampipeline.us Watch the show on YouTube: www.youtube.com/@TeamPipelineus

Scott talks with Mark Gebert from Verizon about something that sits at the heart of every reliable enterprise network: testing. Automation is moving fast in the telco world, but automation without testing is just an accident waiting to happen. They unpack what makes enterprise service provisioning so complex—multi-vendor networks, optical and IP gear, security functions,... Read more »

Jeffrey Dwoskin's career exemplifies strategic problem-solving through direct market experience. From educating late-1990s clients about websites to building Stampede Social, he consistently identified emerging technologies and learned new skills whenever markets demanded them. Each venture built upon previous knowledge, creating a cohesive journey driven by genuine curiosity. His competitive advantage lies not in staying in one domain but in recognizing opportunities at the intersection of passion and market need, then executing with technical depth. Jeffrey's entrepreneurial insight came from firsthand experience at the agency level working with major brands and influencers on Instagram campaigns. He created Stampede Social to consolidate fragmented data across platforms, enabling creators to identify their most valuable fans, track conversions, and understand audience overlap—transforming raw engagement into measurable business results. His approach democratized enterprise-level analytics for mid-career creators, proving that sustainable success emerges from solving problems you've genuinely experienced rather than imagined ones. Jeffrey Dwoskin's fundamental insight for creators is this: understand algorithms but prioritize authenticity over trends. Ready to consolidate your multi-platform presence and track metrics that matter? Visit Stampede Social—the fastest way to get your fans directly to your content without overwhelm. Everything you need to increase engagement on Instagram is now in one central place, designed to help you amplify your authentic voice and measure what actually drives results. 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 Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Our guest on this week's episode is Lisa DeNight, managing director and head of North American Industrial Research for Newmark. Before a company can manufacture and distribute a product, they need the proper building designed to house their operations. That is where the industrial real estate market comes in. Like the home real estate market there are ebbs and flows depending on the economy and other factors. But there are signs for hope in the industrial real estate market in 2026, as our guest shares the latest industry trends and research.This week The National Association of Manufacturers shared new research that shows that the lack of spending on our nation's infrastructure is affecting manufacturing across the country. NAM says that highway congestion and delays in freight carrying finished goods are having big impacts on our economy and that there is a need to invest further in our crumbling infrastructure. They suggest where to focus attention this year.Research released this week tracks a turning point in supply chain strategy as organizations start to prioritize speed of execution as their main source of competitive advantage these days. That's according to research from supply chain software provider Infios. The company surveyed 100 U.S.-based supply chain leaders and found that nearly 80% said fast, dynamic execution—rather than planning or visibility alone—is their best competitive weapon in today's volatile marketplace.Supply Chain Xchange  also offers a podcast series called Supply Chain in the Fast Lane.  It is co-produced with the Council of Supply Chain Management Professionals. A new series is now available on Top Threats to our Supply Chains. It covers topics including Geopolitical Risks, Economic Instability, Cybersecurity Risks, Threats to energy and electric grids; Supplier Risks, and Transportation Disruptions  Go to your favorite podcast platform to subscribe and to listen to past and future episodes. The podcast is also available at www.thescxchange.com.Articles and resources mentioned in this episode:NewmarkNAM asks Congress for greater infrastructure spending Supply chain trade groups cheer congressional progress on infrastructure billReport: Speed and connection create supply chain advantageVisit DC VelocityVisit Supply Chain XchangeListen to CSCMP and Supply Chain Xchange's Supply Chain in the Fast Lane podcastSend feedback about this podcast to podcast@agilebme.comThis podcast episode is sponsored by: WernerOther linksAbout DC VELOCITYSubscribe to DC VELOCITYSign up for our FREE newslettersAdvertise with DC VELOCITY

High-income doctors often assume that earning more money will naturally lead to wealth—but for many physicians, that never happens. In this episode of the White Coat Investor Podcast, bestselling author David Bach explains why simple, automatic money systems consistently outperform willpower, budgeting, and complex investing strategies. We break down the core ideas behind The Automatic Millionaire, including why automation matters more than motivation, which investments work best for busy professionals, and how small, consistent decisions compound into real wealth over time. We also clarify the often-misunderstood Latte Factor, explaining what it really means—and what it doesn't—especially for high earners who already save a significant amount. This episode applies these concepts directly to doctors, exploring why many physicians still struggle financially despite strong incomes, delayed gratification, and long careers. We discuss the behavioral traps unique to medicine, why simplicity wins, and how automation removes emotion from investing decisions. We also cover a bold proposal to simplify retirement saving in the U.S., the challenge many retirees face when it's time to start spending their money, and a personal story from David about how a temporary move abroad unexpectedly turned into a permanent life change. If you're a doctor, dentist, or high-income professional looking for a clear, practical, and proven approach to building wealth without obsessing over money, this episode lays out a system that actually works. Locumstory.com is a free, unbiased educational resource about locum tenens – it's not a staffing agency. They help answer your questions about the how-to's of locum tenens work on their website, podcast, webinars, videos, and they even have a locums 101 crash course. Locumstory.com is where you should go to find out if locums makes sense for you and your career goals. Locumstory is unique because it's more of a peer-to-peer platform, with real physicians sharing their experiences and stories – both the good and bad – about working locum tenens – hence the name, "Locum-story." See for yourself on their self-service platform with no obligation. The White Coat Investor Podcast launched in January 2017, and since then, millions have downloaded it. Join your fellow physicians and other high income professionals and subscribe today! Host, Dr. Jim Dahle, is a practicing emergency physician and founder of The White Coat Investor blog. Like the blog, The White Coat Investor Podcast is dedicated to educating medical students, residents, physicians, dentists, and similar high-income professionals about personal finance and building wealth, so they can ultimately be their own financial advisor-or at least know enough to not get ripped off by a financial advisor. We tackle the hard topics like the best ways to pay off student loans, how to create your own personal financial plan, retirement planning, how to save money, investing in real estate, side hustles, and how everyone can be a millionaire by living WCI principles. Website: https://www.whitecoatinvestor.com  YouTube: https://www.whitecoatinvestor.com/youtube  Student Loan Advice: https://studentloanadvice.com  TikTok: https://www.tiktok.com/@thewhitecoatinvestor  Facebook: https://www.facebook.com/thewhitecoatinvestor  Twitter: https://twitter.com/WCInvestor  Instagram: https://www.instagram.com/thewhitecoatinvestor  Subreddit: https://www.reddit.com/r/whitecoatinvestor  Online Courses: https://whitecoatinvestor.teachable.com  Newsletter: https://www.whitecoatinvestor.com/free-monthly-newsletter  00:00 Why Simple Money Systems Matter More Than Income 01:58 Why Automation Beats Willpower With Money 03:10 The Automatic Millionaire Explained 12:47 The Best Automatic Investments for Busy Professionals 19:41 The Latte Factor: What It Really Means 26:00 Why High-Income Doctors Still Struggle Financially 35:41 How a Temporary Move Turned Into a New Life Abroad 42:15 A Radical Idea to Fix Retirement in America 50:00 Why Spending in Retirement Is Harder Than Saving

Leo Laporte and Paris Martineau go head-to-head over whether today's AI breakthroughs are truly unprecedented or history repeating itself. Hear what happens when the show's hosts use cutting-edge tools to challenge each other's optimism, skepticism, and predictions for the future of work. Something Big Is Happening Building a C compiler with a team of parallel Claudes Amazon's $8 billion Anthropic investment balloons to $61 billion Google is going for the jugular — by doubling capex and outspending the rest of Big Tech Google's Gemini app has surpassed 750M monthly active users OpenAI's Meta makeover ChatGPT's deep research tool adds a built-in document viewer so you can read its reports Alexa+, Amazon's AI assistant, is now available to everyone in the U.S. Amazon Plans To Use AI To Speed Up TV and Film Production AI didn't kill customer support. It's rebuilding it Worried about AI taking jobs? Ex-Microsoft exec tells parents what kind of education matters most for their kids. A new bill in New York would require disclaimers on AI-generated news content AI Bots Are Now a Signifigant Source of Web Traffic Crypto.com places $70M bet on AI.com domain ahead of Super Bowl Frontier AI agents violate ethical constraints 30–50% of time, pressured by KPIs How To Think About AI: Is It The Tool, Or Are You? LEO! Reliability of LLMs as medical assistants for the general public: a randomized preregistered study HBR: AI Doesn't Reduce Work—It Intensifies It As AI enters the operating room, reports arise of botched surgeries and misidentified body parts Waymo Exec Admits Remote Operators in Philippines Help Guide US Robotaxis Medicare's new pilot program taps AI to review claims. Here's why it's risky Section 230 Turns 30; Both Parties Want It Gone—For Contradictory Reasons Meet Gizmo: A TikTok for interactive, vibe-coded mini apps The Evolution of Bengt Betjänt Uber Eats adds AI assistant to help with grocery shopping Is having AI ghostwrite your Valentine's Day messages a good idea? As Saudi Arabia's 100-Mile Skyscraper Crumbles, They're Replacing It With the Most Desperate Thing Imaginable YouTube Argues It Isn't Social Media in Landmark Tech Addiction Trial 'Man down:' Watch Amazon delivery drone crash in North Texas Understanding Neural Network, Visually Leo's AI Journey The TIMELINE TWiT x 2 in Super Bowl commercials Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: preview.modulate.ai Melissa.com/twit spaceship.com/twit

Anthony Barresi built a 7-figure pasta straw brand by launching fast, creating viral content and building relationships to drive sales.For more on Pasta Life and show notes click here Subscribe and watch Shopify Masters on YouTube!Sign up for your FREE Shopify Trial here.

In this episode, Subhajit Paul joins SE Radio host Kanchan Shringi to discuss how enterprise resource planning (ERP) systems work in practice and where machine learning and generative AI are beginning to fit into real-world ERP environments. Subhajit grounds the conversation in ERP fundamentals, explaining core business flows such as order-to-cash, procure-to-pay, and plan-to-produce, and why ERP systems are central to running large enterprises. He then walks through the realities of ERP implementation, sharing examples of both successful and failed projects and highlighting common challenges around testing, process coverage, integrations, and change management. The discussion also explores how AI is being applied in ERP today, including practical ML use cases such as inventory optimization and anomaly detection, as well as emerging generative AI and agent-based approaches. Brought to you by IEEE Computer Society and IEEE Software magazine.

14 day free trial of Lemlii and 25% off by clicking here: https://john-bunn.com/lemlii  Most creatives try to grow by improving their work. But real, sustainable growth happens when your Work, Brand, and Network are supported by the right systems. In this bonus episode, I sit down with Lucas and Joshua, the founders of Lemlii, to talk about the infrastructure behind calm, clear, and consistently booked creative businesses. We unpack how Lemlii was built specifically for wedding filmmakers, how smart automations remove daily overwhelm, and why your client experience is shaped just as much by your backend as your films. Through the lens of the Exposure Triangle, we explore how systems strengthen your work, create a more confident brand experience, and make you easier to trust, refer, and recommend. If you have ever felt buried in emails, scattered across platforms, or stretched thin managing leads, bookings, payments, and delivery, this conversation will show you a simpler, more focused path forward. This episode is not about software. It is about building a business that runs with clarity, confidence, and intention. Listen to the podcast on your favorite platform: https://bit.ly/4owsWiM 

Eddie Bazil demonstrates creative uses of advanced automation as a musical tool in the DAW, showing how automation can add movement, expression and musical detail. The episode covers shaping arpeggiated parts, using MIDI CC for dynamic control, modulating vocal tracks and applying MIDI note expression to enhance performance.Chapters00:00 - Introduction01:49 - Setting Up Automation Lanes02:30 - Example 1: Adding ARP Movement04:51 - Example 2: Using MIDI CC For Velocity07:41 - Example 3: Modulating A Vocal Track 14:52 - Example 4: MIDI Note Expression In A DAW #gforce #imposcar3 #cubase #deviousmachines #infiltrator2 #cableguys #shaperbox #ovoxvocoder #eventide #blackholeSee Also:https://www.soundonsound.com/techniques/using-phaser-effects-podcast Eddie Bazil BiogEddie Bazil launched his music industry career at the age of 17 as a synth programmer for a range of Electro / New Wave bands, including Art Of Noise, Spandau Ballet, Pet Shop Boys, Bobin, Paul Dee, DJ Krush, DJ Shadow, Jets Orchestra, and many more. By his 20s, he was working as a sound designer for Akai, Roland, Emu/Ensoniq, eventually signing on exclusively with the latter. Later, due to a growing demand for software instruments and libraries, Eddie began developing libraries for various software manufacturers, including Native Instruments, Kiesel, Sound Effects Library, Rob Papen, Arturia, and Propellerheads.During this time, he trained in music production. He soon gained several prominent contracts working with some notable artistes such as Busta Rhymes, Greensleeves, 9 Bar, SFP, Sleeveless, Chris Campbell and Gam Productions. He contracted to Island Records and Chrysalis as a producer and remixer, and was commissioned to write the score for Macbeth that ran at 2 Way Mirror at Alexander Palace for the Cambridge Shakespeare Company. This led to him offering educational workshops and classes, and becoming a contributing creator and Forum moderator for Sound On Sound.Recently, he was invited by the Recording Academy to become a professional member, approved educator, and mentor for their member base. Eddie now concentrates on providing private sound design and mixing/production tuition, and creating content for Sound On Sound magazine.https://eddiebazil.co.uk/Catch more shows on our other podcast channels: https://www.soundonsound.com/sos-podcasts

Leo Laporte and Paris Martineau go head-to-head over whether today's AI breakthroughs are truly unprecedented or history repeating itself. Hear what happens when the show's hosts use cutting-edge tools to challenge each other's optimism, skepticism, and predictions for the future of work. Something Big Is Happening Building a C compiler with a team of parallel Claudes Amazon's $8 billion Anthropic investment balloons to $61 billion Google is going for the jugular — by doubling capex and outspending the rest of Big Tech Google's Gemini app has surpassed 750M monthly active users OpenAI's Meta makeover ChatGPT's deep research tool adds a built-in document viewer so you can read its reports Alexa+, Amazon's AI assistant, is now available to everyone in the U.S. Amazon Plans To Use AI To Speed Up TV and Film Production AI didn't kill customer support. It's rebuilding it Worried about AI taking jobs? Ex-Microsoft exec tells parents what kind of education matters most for their kids. A new bill in New York would require disclaimers on AI-generated news content AI Bots Are Now a Signifigant Source of Web Traffic Crypto.com places $70M bet on AI.com domain ahead of Super Bowl Frontier AI agents violate ethical constraints 30–50% of time, pressured by KPIs How To Think About AI: Is It The Tool, Or Are You? LEO! Reliability of LLMs as medical assistants for the general public: a randomized preregistered study HBR: AI Doesn't Reduce Work—It Intensifies It As AI enters the operating room, reports arise of botched surgeries and misidentified body parts Waymo Exec Admits Remote Operators in Philippines Help Guide US Robotaxis Medicare's new pilot program taps AI to review claims. Here's why it's risky Section 230 Turns 30; Both Parties Want It Gone—For Contradictory Reasons Meet Gizmo: A TikTok for interactive, vibe-coded mini apps The Evolution of Bengt Betjänt Uber Eats adds AI assistant to help with grocery shopping Is having AI ghostwrite your Valentine's Day messages a good idea? As Saudi Arabia's 100-Mile Skyscraper Crumbles, They're Replacing It With the Most Desperate Thing Imaginable YouTube Argues It Isn't Social Media in Landmark Tech Addiction Trial 'Man down:' Watch Amazon delivery drone crash in North Texas Understanding Neural Network, Visually Leo's AI Journey The TIMELINE TWiT x 2 in Super Bowl commercials Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: preview.modulate.ai Melissa.com/twit spaceship.com/twit

In "Inside the DAT - Convoy Platform Deal: What This Acquisiton Means for the Freight Market", Joe Lynch and Bill Driegert, EVP of Convoy Platform - DAT Freight & Analytics, discuss how the integration of the Convoy Platform's automation and AI technology with DAT's massive freight marketplace will help brokers combat fraud, increase efficiency, and focus on high-value work. About Bill Driegert Bill Driegert is the EVP of Convoy Platform at DAT Freight & Analytics. He was previously the EVP of Trucking at Flexport and the co-founder and Head of Operations at Uber Freight, Uber's logistics business. Bill began his career in freight as the fourth employee at Coyote Logistics (acquired by UPS), where he grew the role to Chief Innovation Officer. Prior to joining Uber, he served as COO at Pillow Homes. He also spent time at Amazon as Director of Planning and Innovation. Bill holds an M.A. in Supply Chain from MIT, an M.B.A. from the University of Chicago, and a B.A. from Southern Methodist University. About DAT Freight & Analytics DAT Freight & Analytics operates the DAT One truckload freight marketplace; Convoy Platform, an automated freight-matching technology; DAT iQ analytics service; Trucker Tools load-visibility platform; and Outgo factoring and financial services for truckers. Shippers, transportation brokers, carriers, news organizations, and industry analysts rely on DAT for market trends and data insights, informed by nearly 700,000 daily load posts and a database exceeding $1 trillion in freight market transactions. Founded in 1978, DAT is a business unit of Roper Technologies (Nasdaq: ROP), a constituent of the Nasdaq 100, S&P 500, and Fortune 1000. Headquartered in Beaverton, Oregon, DAT continues to set the standard for innovation in the trucking and logistics industry. Visit dat.com for more information. Key Takeaways: Inside the DAT - Convoy Platform Deal: What This Acquisiton Means for the Freight Market In "Inside the DAT - Convoy Platform Deal: What This Acquisiton Means for the Freight Market", Joe Lynch and Bill Driegert, EVP of Convoy Platform - DAT Freight & Analytics, discuss how the integration of the Convoy Platform's automation and AI technology with DAT's massive freight marketplace will help brokers combat fraud, increase efficiency, and focus on high-value work. Solving Major Brokerage Challenges: The acquisition of the Convoy Platform is a strategic move by DAT to help freight brokers tackle significant industry challenges like fraud, the need for increased automation, and the integration of AI. Automation for Efficiency: By integrating the Convoy Platform, DAT aims to automate routine tasks, which will allow brokers to dedicate more time to complex, high-value work, such as building relationships with clients and carriers. Enhanced Fraud Prevention: The deal combines the Convoy Platform's advanced, machine-learning-powered fraud prevention technology with DAT's extensive network and data. This fusion is intended to create a safer and more secure environment for freight transactions. Augmenting the DAT One Platform: The Convoy technology will be incorporated into DAT's flagship product, DAT One. This integration will offer brokers and carriers new automated capabilities while ensuring that the core, familiar functions of the load board remain unchanged. Leveraging Bill Driegert's Expertise: Bill Driegert's background, including his leadership roles at Uber Freight and Coyote Logistics, is a crucial asset for DAT. His experience as a technologist and innovator in the freight industry is key to the successful integration and future development of the Convoy Platform. The Practical Role of AI: The interview clarifies that AI is not just a buzzword but a practical tool for improving freight operations. The technology will be used to enhance decision-making, optimize processes, and increase overall efficiency for the brokers DAT serves. Building a Comprehensive Ecosystem: The Convoy acquisition is part of a larger plan to unify DAT's recent acquisitions, including Trucker Tools and Outgo. The goal is to create a complete, integrated ecosystem that provides solutions for everything from freight matching and payment processing to carrier tracking and automation. Learn More About Inside the DAT - Convoy Platform Deal: What This Acquisiton Means for the Freight Market Bill Driegert | Linkedin DAT Freight & Analytics | Linkedin DAT DAT - Convoy Platform Convoy Platform - DAT DAT + The Convoy Platform: A new chapter in our marketplace evolution Infographic: Modernize your brokerage MIT Center for Transportation and Logistics with Chris Caplice Navigating Market Uncertainty with Sarah Bertram A Trillion Dollars in Freight Transactions with Ken Adamo DAT iQ: The Metrics that Matter with Samuel Parker Taking the Uncertainty and Risk Out of Freight with Erika Voss The Logistics of Logistics Podcast If you enjoy the podcast, please leave a positive review, subscribe, and share it with your friends and colleagues. The Logistics of Logistics Podcast: Google, Apple, Castbox, Spotify, Stitcher, PlayerFM, Tunein, Podbean, Owltail, Libsyn, Overcast Check out The Logistics of Logistics on Youtube

This video discusses the complexities of accounts payable, highlighting challenges such as "the invoice nightmare," "the duplicate headache," and dealing with resistance. It also touches upon vendor data, technology and AI, and related accounting issues, emphasizing that these functions require more detailed handling than many professionals might imagine. The core focus is on enhancing the accounts payable automation process, including ai invoice automation, to improve overall invoice process best practices and control spend. Watch Master Accounting for Accounts Payable in LESS than 30 Minutes https://youtu.be/dGJP6V5J9as Subscribe for more tips and insights like this: https://www.youtube.com/APNow?sub_confirmation=1 Looking for more of the most current business intelligence about + Best practices around your payment and accounts payable function + Current and new fraud protection protocols + The newest technology impacting your accounting, accounts payable, and payment functions + Career advancement +And much more!! +++++++++++++++++++++++ See most recent videos at: https://www.youtube.com/@APNow/videos See all short tips at: https://www.youtube.com/playlist?list=PLtL6rWSXZ-He5ELp9TP3wqQdHIbfIcFAB Learn more about AP Best Practices; Playlist at: https://www.youtube.com/playlist?list=PLtL6rWSXZ-HcvMSJTdNs0BCQJ0Ivb4l9V Learn more about Internal Controls in AP; Playlist https://www.youtube.com/playlist?list=PLtL6rWSXZ-HdV9JIterJ-bf6TwMset_z_ Looking for Automation insights: Playlist at: https://www.youtube.com/playlist?list=PLtL6rWSXZ-Hf_cZwQOcDZrYV4dA0oDVby 

Episode Notes On this episode of Talent Experience Live, we continue the 6 Levels of Intelligence & Automation series by unpacking Level 2: Partial Process Automation and Semi-Automated Intelligence. At Level 2, automation starts connecting steps. Entire processes begin to move with less human effort. Intelligence helps rank, score, and recommend. On paper, this looks like real progress. You're likely here if workflows are automated end-to-end, but humans still approve, intervene, and validate most outcomes. What We Cover in This Episode: How partial process automation changes operational flow Why speed improves but consistency often doesn't The difference between "automated" and "adaptive" Why many organizations plateau here and what gaps still exist beneath the surface If your processes are automated but still fragile, this episode explains why.

This episode wraps up our Technology Modernization theme with a Siemens perspective that feels very grounded in what factories are actually dealing with right now. Brian Albrecht and Louis Hughes from the Siemens XD team walk through what they are seeing in the field across brownfield and greenfield conversations, why executives keep asking for industrial AI before the foundations are ready, and what it really takes to turn messy plant data into something you can trust for analytics, operations, and eventually AI enabled workflows.A big thread in this conversation is that modern manufacturing is not blocked by ambition, it is blocked by readiness. Everyone wants faster decisions, fewer surprises, and higher uptime, but the path there usually starts with boring work that is not optional. Data transparency across machine, plant, MES, and cloud layers. A clear definition of what real time actually needs to mean for a given use case. And a plan to contextualize and orchestrate data so that AI does not get fed junk inputs. Brian and Louis explain how they approach those early customer conversations, how workshops turn vision into prioritized use cases, and why trust, pilots, and repeatability matter more than flashy demos when you are working in regulated or high consequence environments.If you have been hearing nonstop AI buzz but you are still wrestling with legacy controls, inconsistent tags, documentation that no one can find, and seven layers of security constraints, this episode is for you. We get into practical use cases like AI vision and anomaly detection, LLMs for tribal knowledge and troubleshooting workflows, and the idea of fast versus slow AI, meaning AI that must act during production versus AI that can analyze after the fact.Timestamps00:00 Welcome and why this episode closes the modernization theme02:10 Meet Brian Albrecht and Louis Hughes from the Siemens XD team05:25 Vertical differences across oil and gas, discrete, and process manufacturing07:50 What executives ask for right now beyond AI, factory of the future and data transparency10:50 Brownfield reality and why most modernization work starts with legacy systems12:30 The AI conversation when foundations are missing, meeting customers where they are15:10 Current AI use cases in manufacturing, downtime, throughput, LLMs, and vision18:10 What it means to be AI ready, data silos, contextualization, and orchestration23:50 Fast versus slow AI and why production time decisions are different from analytics25:30 Edge versus cloud architecture, latency, and where the data should live33:40 Cybersecurity, trust, and why perception can lag behind the technology36:50 Hallucinations, guardrails, and why recommendations usually come before automation51:10 Book recommendations, career advice, and future predictions for industrial AIAbout the hostsVlad Romanov is an electrical engineer with an MBA from McGill University and over a decade of experience in manufacturing and industrial automation. He has worked across large scale environments including Procter and Gamble, Kraft Heinz, and Post Holdings, and he now leads Joltek, helping manufacturers modernize systems, improve reliability, strengthen IT and OT architecture, and upskill technical teams through practical training and on site enablement.Dave Griffith is the cohost of Manufacturing Hub and an industrial automation practitioner who focuses on how modern technologies translate into real factory outcomes, from controls and data foundations to scalable implementation strategies.About the guestsBrian Albrecht started in electrical engineering and spent about a decade in systems integration in Oklahoma City focused on oil and gas, building SCADA, networking, and automation solutions and leading teams delivering real world projects. He now works with Siemens customers on building relationships and delivering solutions that create measurable value.Louis Hughes has roughly 20 years of manufacturing experience, starting in software development for manufacturing and engineering applications, then moving into solution architecture, services delivery, and experience center leadership. He now leads a smart manufacturing team, bringing a software and systems view into automation conversations focused on solving customer problems, not just deploying tools.Joltek Services - https://www.joltek.com/servicesContact Joltek - https://www.joltek.com/contactReferenced in the episodeProveIt Conference - https://www.proveitconference.com/Siemens - https://www.siemens.com/Crossing the Chasm by Geoffrey A Moorehttps://en.wikipedia.org/wiki/Crossing_the_ChasmExtreme Ownership by Jocko Willink and Leif Babinhttps://en.wikipedia.org/wiki/Extreme_Ownership

In a podcast recorded at ITEXPO / MSP EXPO, Doug Green, Publisher of Technology Reseller News, spoke with Federico De Faveri, founder of De Faveri Consulting, about the growing demand for highly technical, hands-on consulting that bridges gaps between business needs and complex software systems. De Faveri Consulting focuses on what Federico describes as “tech enablement consulting”—hands-on work that includes software development, system integrations, automation, and custom tooling. Rather than operating through large consulting layers, De Faveri works directly with clients to design and implement solutions that remove bottlenecks, reduce manual processes, and create more auditable, data-driven workflows. “I like going into a company with a real problem and building something that saves time, improves visibility, and just works,” De Faveri said. During the discussion, De Faveri explained that clients engage him both reactively and proactively—either to fix broken or inefficient systems or to bring new ideas to life. His interest in attending MSP Expo centered on identifying emerging challenges faced by MSPs, enterprises, and channel partners, particularly as AI-driven tools and integrations reshape operations. While based in South Florida, De Faveri emphasized that most projects are delivered remotely, allowing him to support clients nationwide while still prioritizing trust-building and occasional in-person collaboration. As a newer independent consultant, De Faveri highlighted the freedom and focus that come with running his own firm, along with a core piece of advice for organizations evaluating technology solutions. “Always get multiple technical opinions,” he noted. “Sometimes the best solution isn't another platform—it's a smart integration or a custom script that connects what you already have.” Visit https://df.consulting/

5 Simple Systems That Turn Evening Hours Into Recurring Revenue Streams   Episode Summary Discover how digital entrepreneurs, especially busy parents, are leveraging AI automation to create profitable side hustles that fit into just 90-minute evening blocks. This episode dives deep into five "boring" but lucrative AI automation systems that require no coding skills, generating $1,500 to $5,000 in sales each. From email categorization to podcast repurposing, these digital marketing strategies solve real business problems while helping you build recurring income streams. Whether you're new to digital products or looking to enhance your online entrepreneurship journey, this guide is packed with tips for entrepreneurs aiming to make money online without sacrificing family time. Tune in to learn actionable email marketing tips, automation workflows, and other digital product ideas perfect for parents striving to balance business and life. Key Timestamps & Insights 00:00 - Opening 00:55 - Episode Overview 01:25 - The Parent Advantage 02:45 - Immersive Success Story 06:20 - The 5 Profitable Automation Systems 14:25 - Newsletter CTA 15:00 - Intelligent Elevation 16:20 - Whiskered Wisdom Strategies Shared The 90-Minute Build Strategy Leverage limited evening time for focused automation building Use constraints to force clarity and essential features only The Boring Beats Brilliant Approach Focus on simple, linear workflows over complex AI agents Solve obvious problems for obvious money The Local Network Launch Start with businesses you know personally (dentist, daycare, coffee shop) Observe repetitive manual tasks before proposing solutions The Referral Multiplication Method One satisfied client becomes your best sales force Same system, different clients, recurring revenue The Problem-First Framework Identify pain points before building solutions Focus on time-saving value over impressive technology Resources Mentioned Make.com - Visual automation platform (no coding required) Apify - Data scraping service for lead research OpenAI - AI processing for email categorization and content N8N - Alternative automation platform AI Escape Plan Newsletter - Step-by-step automation guides for parents Action Steps to Take Immediate Action (This Week) Pick one small business in your network Spend 15 minutes observing their repetitive manual tasks Write down potential automation opportunities Learning Phase (Next 30 Days) Create free Make.com account Build simple email sorting system for yourself Document your learning process Validation Phase (Month 2) Approach one business owner with observed problem Calculate time/cost savings of automation solution Propose pilot project with clear ROI Scale Phase (Month 3+) Refine successful system for replication Build referral network through satisfied clients Develop recurring maintenance contracts Subscribe to the AI Escape Plan Newsletter - DarkHorseInsider.com - Get practical, AI-powered strategies to start, grow, and streamline side hustles designed to protect family time while boosting income. Next issue includes step-by-step automation building guide with screenshots and parent-tested workflows.   Episode Quote "Boring beats brilliant when it comes to building wealth. While everyone else is chasing the latest AI agent or complex chatbot, you're going to focus on simple, linear workflows that solve obvious problems for obvious money."    

You can develop a working Mac app in minutes.

Gerald Celente warns that a $660 billion AI spending spree by tech giants is accelerating a dot-com bust 2.0—wiping out software jobs, hollowing out cities, and concentrating power in a handful of corporate-state giants. He connects AI consolidation, collapsing retail and office markets, record credit card debt, and manipulated economic data to a deeper crisis: the death of the dollar and a world abandoning U.S. hegemony. From war escalation with Iran to ICE's militarized expansion and media distractions masking systemic decay, we're watching economic breakdown and authoritarian infrastructure rise in real time. Money should have intrinsic value AND transactional privacy: Go to https://davidknight.gold/ for great deals on physical gold/silver For 10% off Gerald Celente's prescient Trends Journal, go to https://trendsjournal.com/ and enter the code KNIGHT Find out more about the show and where you can watch it at TheDavidKnightShow.com If you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-showOr you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Become a supporter of this podcast: https://www.spreaker.com/podcast/the-david-knight-show--2653468/support.

Gerald Celente warns that a $660 billion AI spending spree by tech giants is accelerating a dot-com bust 2.0—wiping out software jobs, hollowing out cities, and concentrating power in a handful of corporate-state giants. He connects AI consolidation, collapsing retail and office markets, record credit card debt, and manipulated economic data to a deeper crisis: the death of the dollar and a world abandoning U.S. hegemony. From war escalation with Iran to ICE's militarized expansion and media distractions masking systemic decay, we're watching economic breakdown and authoritarian infrastructure rise in real time. Money should have intrinsic value AND transactional privacy: Go to https://davidknight.gold/ for great deals on physical gold/silver For 10% off Gerald Celente's prescient Trends Journal, go to https://trendsjournal.com/ and enter the code KNIGHT Find out more about the show and where you can watch it at TheDavidKnightShow.com If you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-showOr you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Become a supporter of this podcast: https://www.spreaker.com/podcast/the-real-david-knight-show--5282736/support.

Today we are joined by Matt Remke, who has spent years in the trenches of network automation projects as a consultant. Matt offers a unique, non-engineer perspective on scaling network automation in real-world, complex environments for some of the world’s largest companies. Matt shares what worked, what backfired, and the hard-earned lessons he has gained... Read more »

In this episode, we're joined by Sharon Pope, CEO and Co-founder of shelpful, to explore how AI can be a powerful partner for the overwhelmed brain. With her background as a startup executive and advisor, Sharon now leads a venture-backed AI startup that's helping high-achievers offload the mental load of daily execution.Tune in to learn:How to leverage artificial intelligence to offload the cognitive weight of daily habits and chores so you can stay on top of your life without the stress of remembering everything yourself.The secrets to using AI-driven task management as a bridge for leaders who struggle with executive function and consistency.How to stop being a passenger to your to-do list and start owning your authority by automating the mental nudging required for daily tasks.Practical ways to identify one recurring small task or habit and set up an AI assistant to handle the mental heavy lifting for you.You don't have to carry the entire weight of your schedule in your head. It's time to use the tools available to reclaim your mental energy for the big-picture leadership only you can provide. Free Gift: 1 Month of shelpful access + Gift to a Friend too!Free MONTH with your own AI Task Manager from shelpful (super+helpful). Plus, an extra free month to gift to a friend!Sharon's Giveaway Contribution: Automate Your Life 101 Get ready to offload your mental load with this 90-minute workshop packed with real-time demos for setting up simple automations that handle your daily tasks. You'll learn exactly how to use AI to bridge the gap in your executive function and reclaim your brainpower for the things that truly matter!Connect with Sharon + shelpful: Website | Podcast | Instagram---Enter the Book Launch Celebration Giveaway!

Today we are joined by Matt Remke, who has spent years in the trenches of network automation projects as a consultant. Matt offers a unique, non-engineer perspective on scaling network automation in real-world, complex environments for some of the world’s largest companies. Matt shares what worked, what backfired, and the hard-earned lessons he has gained... Read more »

From time to time, we'll re-air a previous episode of the show that our newer audience may have missed. During this episode, Santosh is joined by Andrei Danescu, CEO and Co-Founder of Dexory, a company specializing in AI-powered autonomous robots and a real-time data platform to optimize warehouse operations by providing continuous, accurate insights without disrupting workflows. In this conversation, Andrei and Santosh discuss the transformative role of robotics in supply chain management, focusing on optimizing warehouse operations. Andrei shares his background and the challenges in the supply chain industry, such as visibility and data consistency issues. He explains how Dexory uses autonomous robots and real-time data to address these challenges, improve efficiency, and meet evolving customer expectations. The conversation also covers technological advancements, market trends, a vision for the future of supply chain operations, and more. Highlights from their conversation include:Andrei's Background in Robotics (1:18)The Core Problem in Supply Chain (5:25)Dexory Technology Overview (6:47)Identifying Customer Pain Points (8:04)Case Study of Success (11:27)State of Warehousing Robotics in Europe (13:36)Current Trends in Warehouse Robotics (15:08)Changing ROI Expectations (16:38)Dexter's Vision for the Future (19:31)NVIDIA's Impact on Robotics (21:22)Lessons Learned in Robotics Scaling (24:24)Vision for Product Introduction (25:34)This or That Segment and Final Takeaways (26:22)Dynamo is a VC firm led by supply chain and mobility specialists that focus on seed-stage, enterprise startups.Find out more at: https://www.dynamo.vc/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.