Future Tech And Foresight

Hosted by Marc Verbenkov

Technology

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Episodes

233

Latest episode

Jun 2026

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EN-CA

About the show

Emerging and future technologies and the trends that they are linked to will be covered on this podcast. From the more obvious tech like: AI, Robotics, Autonomous Vehicles, and The Metaverse. To less well known disruptors like: Brain-Machine Interfaces, CBDC’s, Internet of Bodies, Smart Dust, Animal Human Chimeras, 4D Printing, Under The Skin Surveillance, Bio Computers and much more. A vision of what the future may hold will be painted to alleviate some of our collective Future Shock so we can make better decisions for tomorrow. Website: https://futuretechandforesight.com/

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June 16, 2026Episode 23450 min

The Freedom First Business Mindset (With Steve Rolle) - Ep #234

Marc and Steve explore the reality of entrepreneurship, discussing why mastering human systems and the "Freedom First" mindset must happen before you can successfully automate with AI.About the EpisodeThe journey from a traditional 9-to-5 job to running a successful enterprise requires a profound mindset shift and a rejection of the "shiny new object syndrome." True security doesn't come from a day job, but from building a business with reliable margins, solid distribution channels, and profitable customer acquisition. Yet, the execution phase is where most entrepreneurs struggle, often jumping straight to advanced tools to try and solve foundational problems.This conversation breaks down the concept of building a "Freedom First" business, emphasizing that strong, human-driven standard operating procedures must be established before introducing artificial intelligence. While it is tempting to use AI agents to skip the hard work of scaling, businesses must first rely on proven methods, effective delegation, and learning through failure. Only after establishing a solid foundation and a capable team can automation truly enhance human capabilities rather than create more chaos.Looking ahead, the most resilient companies won't be those that adopt AI the fastest, but those that integrate it into well-oiled systems where humans still make the critical decisions. Listeners will walk away with a clear blueprint for taking control of their future, delegating the tasks they despise, and building an enterprise that can thrive independently for decades.About the GuestSteve Rolle is an investor, entrepreneur, and host of the Rolle With Steve Podcast. Rising from a low-income childhood in Washington D.C. to serving as a U.S. Army engineer, he began building side businesses while working full-time. Over the past two decades, Steve has launched and scaled multiple companies, generating over $100 million in combined sales across e-commerce, manufacturing, and distribution.As an expert in delegation and operational design, he specializes in building self-sustaining systems that allow businesses to thrive without the founder's day-to-day involvement. Through his upcoming book, The Future You Choose, his speaking, and his writing, Steve shares practical, battle-tested lessons on overcoming failure, spotting overlooked industries, and designing businesses that deliver true financial and time freedom.Linkedin: https://www.linkedin.com/in/steverolle/Website: https://steverolle.com/Timestamps:00:01:18 - Episode Commences00:03:34 - Entrepreneurial Journey Interview Discussion00:07:12 -Business Security and Entrepreneurship Strategy00:12:17 - Business Success and Scalability Systems00:19;10 - Entrepreneur Delegation and Business Growth00:21:01 - Business Growth and AI Implementation00:27:14 - AI Implementation Best Practices00:29:41 - Building Business Foundations with AI00:49:10 - Episode ConcludesAdditional Notes:For more check out the website: ⁠⁠https://futuretechandforesight.com/⁠⁠ Or connect with me on – Twitter: ⁠⁠https://twitter.com/FutureTech_Pod⁠⁠ Linkedin: ⁠⁠https://www.linkedin.com/company/futuretechandforesight/

June 9, 2026Episode 23347 min

The Future of Coding in the Age of AI (With Matt Stripplehoff of Red Hawk Technologies) - Ep 233.

Marc and Matt break down how generative AI tools are shifting software development into a modular assembly model, exposing critical pitfalls in licensing, code quality, and senior engineer oversight.About the EpisodeSoftware development has radically evolved from the foundational days of manual hard-coding to an ecosystem built on sophisticated frameworks and modular "LEGO blocks." This episode explores how generative AI and specialized developer agents are accelerating this evolution, drastically lowering barriers to entry for smaller enterprises and enabling the creation of bespoke tools. We dive into the profound operational shifts taking place, including how automation is turning tedious maintenance tasks—like security patching and vulnerability remediation—into background processes, effectively fundamentally altering agency billing models.However, moving past high-fidelity prototypes to a truly production-ready application reveals complex hurdles. We address the hidden legal and technical minefields of AI-assisted coding, particularly the massive intellectual property risks surrounding open-source licensing. If an AI unknowingly integrates code with strict copyleft dependencies, an enterprise could face devastating compliance issues that prevent their software from ever being sold commercially.Crucially, this conversation highlights why human expertise is more critical than ever to bridge the "last mile" of development. We look at the future of tech talent and engineering education, highlighting why junior developers must remain grounded in fundamental architectural concepts rather than relying entirely on large language models. To succeed, leadership must build structured corporate environments that foster psychological safety, giving engineering teams the confidence to innovate with AI without fearing displacement.About the GuestMatt Strippelhoff has curated an extensive portfolio in traditional and interactive media. Leading the development of web applications, mobile applications, e-commerce websites and specialized interactive marketing programs, he shapes Red Hawk’s technological landscape.In 2022, The Circuit awarded Matt the Visionary Leader Award for his groundbreaking approach to software development. Recognized for reimagining the process, Matt's bold leadership catalyzes growth and success. His visionary business model bundles software development and technical support services for a fixed monthly fee, offering financial predictability and operational stability for their mid-market clientele.Matt earned a BFA in communication design from the Art Academy of Cincinnati in 1993.Timestamps:00:01:05 - Episode Commences00:03:27 - Evolution of Web Development Technologies00:06:29 -AI Tools and Licensing Challenges00:10:25 - AI Challenges in Software Development00:12:38 - AI's Impact on Software Development00:17:40 - AI Adoption and Implementation Challenges00:21:33 - Large Language Models and Development00:26:11 - AI Automation in Software Engineering00:30:11 - AI Adoption in Software Development00:47:43 - Episode ConcludesAdditional Notes:For more check out the website: ⁠⁠https://futuretechandforesight.com/⁠⁠ Or connect with me on – Twitter: ⁠⁠https://twitter.com/FutureTech_Pod⁠⁠ Linkedin: ⁠⁠https://www.linkedin.com/company/futuretechandforesight/

June 2, 2026Episode 23244 min

The AI Scam Epidemic and the Battle for Real-Time Trust (With Al Pascual of Scamnetic) - Ep #232

Marc and Al expose how criminal syndicates leverage AI deepfakes and automated call centers to execute highly sophisticated scams, and why current banking regulations leave victims entirely unprotected.About the EpisodeThe digital fraud landscape has shifted from clumsy phishing emails to industrialized, AI-powered operations. In this episode, we dive deep into the rapid evolution of modern scams, driven by the explosive growth of instant digital payments and highly specialized criminal networks. We explore how bad actors deploy generative AI and deepfakes to scale romance and investment scams, building complex, fake relationships that blur the line between human and machine interaction.We also break down a critical loophole in consumer finance: the massive legal distinction between authorized and unauthorized transactions. Under current regulations like Regulation E, financial institutions are legally required to cover losses from identity theft, but they hold zero liability when a victim is manipulated into authorizing a payment themselves. This regulatory gap has left a massive opening for criminals, making real-time, AI-based interception and identity verification tools absolutely vital.Finally, the conversation challenges the common stereotype of the typical scam victim. While older generations suffer the heaviest financial losses, data reveals that younger, tech-savvy demographics are actually falling for modern digital scams at a higher rate. This episode serves as an urgent wake-up call and a blueprint for navigating a world where seeing and hearing is no longer believing.About the GuestAl is a cybersecurity and fraud prevention expert with a unique background rooted in investigative work, inspired by his parents' careers as detectives. After leading fraud detection initiatives across the financial and banking sectors, his pioneering startup focusing on account takeovers and security signal interpretation was successfully acquired by TransUnion. He now leads an advanced real-time scam detection platform designed to intercept fraudulent communications and verify identities across marketplaces and dating applications. Through his work, Al continues to develop custom machine learning architectures to protect consumers from highly automated, next-generation digital threats.Timestamps:00:01:03 - Episode Commences00:03:13 - Cybersecurity and Fraud Detection Background00:05:30 - Increase in Digital Scams Factors00:10:23 - AI-Enhanced Scam Operations00:14:23 - AI in Cyber Scams Discussion00:17:46 - Generative AI in Cybersecurity00:21:22 - AI Scam Prevention Service Discussion00:26:34 - Current Scam Landscape Discussion00:47:43 - Episode ConcludesAdditional Notes:For more check out the website: ⁠⁠https://futuretechandforesight.com/⁠⁠ Or connect with me on – Twitter: ⁠⁠https://twitter.com/FutureTech_Pod⁠⁠ Linkedin: ⁠⁠https://www.linkedin.com/company/futuretechandforesight/

May 26, 2026Episode 23146 min

Why Most Organizational Change Fails (With Richard Carson of Carson & Associates) - Ep #231

Marc and Richard discuss a robust, 10-step diagnostic framework for change management that moves beyond shallow models to address leadership resistance and integrate AI-driven efficiency.About the Episode Change is often treated as a buzzword, yet many initiatives fail because organizations lack a rigorous way to identify what is actually broken. This episode explores a systematic approach to change management inspired by medical diagnostic models, shifting the focus from simply implementing new tech to deeply understanding organizational health. We examine why the phrase "we've always done it this way" is a red flag for leadership and how active listening at every level—from front-line staff to vendors—is the key to unlocking true operational potential.The conversation also ventures into the future of methodology, discussing how complex, multi-step frameworks can be integrated into AI systems. By removing technical jargon and utilizing "Plain Talk," organizations can create scalable strategies that hold teams accountable. We look at how AI might eventually outperform human intuition in organizational diagnosis by processing information systematically, without the interference of human bias or forgetfulness.About the GuestRichard is a veteran manager and organizational psychologist with over 30 years of experience in performance audits and change management. After noticing a lack of depth in traditional post-WWII change models, he conducted academic research to develop a more robust, 39-action framework for organizational adaptation. He is a proponent of "Plain Talk" in government and business, aiming to make complex management theories accessible and actionable for any scale of organization. Through his work, Richard continues to empower leaders to move past routine-based resistance and embrace diagnostic-driven growth.Timestamps:00:01:09 - Episode Commences00:03:00 - Systematic Approach to Change Management00:06:19 - Change Management Diagnostic Approach00:09:41 - Scalable Change Management Approaches00:12:25 - Organizational Change and Resistance Challenges00:15:55 - Change Management Role Implementation00:18:32 - Change Management Strategy Discussion00:21:53 - Three-Phase Work Methodology Discussion00:24:10 - AI Integration in Organizational Change00:29:20 - Current State of AI Implementation00:34:04 - Technology's Impact on Employment00:47:43 - Episode ConcludesAdditional Notes:For more check out the website: ⁠⁠https://futuretechandforesight.com/⁠⁠ Or connect with me on – Twitter: ⁠⁠https://twitter.com/FutureTech_Pod⁠⁠ Linkedin: ⁠⁠https://www.linkedin.com/company/futuretechandforesight/

May 19, 2026Episode 22849 min

The Future of Local AI and the End of Data Centralization (With Jonathan Schaeffer) - Ep #230

Marc and Jonathan explore the shift from resource-heavy cloud models to localized AI solutions, discussing the security, privacy, and environmental benefits of keeping your data on your own machine.About the Episode The AI revolution has largely been a story of the "cloud"—massive data centers consuming vast amounts of energy to process our personal information. However, this conversation shifts the focus toward the growing movement of decentralized, local AI. We delve into how the trade-offs between computational power and data privacy are reaching a breaking point, and why the next phase of innovation might not happen in a server farm, but on your personal desktop.The discussion also tackles the environmental and technical sustainability of current Large Language Models (LLMs). With data centers proliferating at an alarming rate, we examine the potential for a "hybrid" future—one where personal, trusted AI systems handle the majority of our sensitive tasks locally, only reaching out to the cloud for highly specialized, state-of-the-art functions. This episode is a must-watch for anyone concerned about data sovereignty and the long-term efficiency of AI.About the GuestJonathan Schaeffer is the inventor of Kind and has been at the forefront of artificial intelligence for more than 40 years. Alongside his work as an AI researcher, he has been an entrepreneur and inventor focused on building practical, trustworthy AI systems that solve real problems.Jonathan's career includes leading or contributing to AI systems that mastered checkers and competed against world-class poker players—both achievements recognized by the Guinness Book of World Records. He co-founded his first AI software company, BioTools, in 1995, was a co-founder of the Alberta Machine Intelligence Institute (Amii), and a founding partner at Onlea, now a global leader in online learning.Kind was first conceived in 2017 and took shape while Jonathan was teaching full-time and responding to hundreds of student emails. He created an AI system that interacted only with documents he explicitly provided, ensuring accuracy, explainability, and trust. After years of personal use and refinement, Kind evolved into a downloadable desktop application that allows users to curate their own data, interact with it in depth, and gain insights—without sacrificing privacy.Timestamps:00:01:15 - Episode Commences00:02:58 - AI's Game-Changing Beginnings00:07:06 - Cloud vs. Local AI Trade-offs00:17:31 - Cloud vs. Offline AI Chatbots00:23:38 - LLMs' Efficiency and Environmental Impact00:32:11 - Hybrid AI: Local and Cloud00:35:16 - Local AI Data Processing Tool00:47:43 - Episode ConcludesAdditional Notes:For more check out the website: ⁠https://futuretechandforesight.com/⁠Or connect with me on –Twitter: ⁠https://twitter.com/FutureTech_Pod⁠Linkedin: ⁠https://www.linkedin.com/company/futuretechandforesight/

May 14, 2026Episode 22945 min

AI’s Evolution and Human Collaboration (With Stephen DeWitt of MindBridge) - Ep #229

Marc and Stephen explore how AI is reshaping human collaboration, financial auditing, and business operations, while examining the challenges of trust, governance, and future workforce transformation.About the Episode:Artificial intelligence is no longer just a tool — it’s becoming a collaborator. In this episode, we explore how advancements in data science, compute power, and autonomous systems are driving a new era where humans and AI work side by side. From coding and design to decision-making processes, AI is rapidly enhancing what individuals and organizations can achieve.The conversation dives into real-world applications, particularly in financial auditing, where AI is transforming how data is analyzed — shifting from sample-based reviews to continuous, full-scale insights. This evolution is not just about efficiency, but about uncovering patterns and risks that were previously invisible, fundamentally changing how industries operate.Looking ahead, the discussion explores the balance between innovation and responsibility. As AI adoption accelerates across enterprises and small businesses alike, questions around trust, cybersecurity, and governance become critical. The episode challenges listeners to think about how they can adapt, upskill, and actively participate in shaping a future where AI augments human potential rather than replaces it.About the Guest:Stephen De Witt is the CEO of MindBridge, the world's leading provider of AI based financial analysis. From guiding Cobalt Networks through IPO and Sun acquisition to leading WorkMarket's exit to ADP, then steering Azul Systems and CloudBees as CEO, how does Stephen De Witt repeat startup success? Now CEO of MindBridge, he draws from C-suite roles at HP (SVP Enterprise Marketing, WebOS GBU), Cisco (VP/GMEnterprise), Symantec (VP Worldwide Marketing), and Automation Anywhere (CTO) to share leadership tactics for navigating pivots, global scale, and enterprise sales.Website: https://www.mindbridge.ai/Linkedin: https://www.linkedin.com/in/stephendewitt/Timestamps:00:01:17 - Episode Commences00:03:12 - AI's Evolution and Human Collaboration00:08:20 - AI Adoption in Financial Auditing00:21:24 - AI Adoption for Small Businesses00:30:35 - AI Development and Governance00:44:12 - Episode ConcludesAdditional Notes:For more check out the website: https://futuretechandforesight.com/Or connect with me on –Twitter: https://twitter.com/FutureTech_PodLinkedin: https://www.linkedin.com/company/futuretechandforesight/

May 7, 2026Episode 22847 min

Industrial AI Transformation in Manufacturing (With Bryan DeBois) - Ep #228

Marc and Bryan explore how autonomous AI is transforming industrial manufacturing by optimizing processes, reducing energy use, and capturing human expertise at scale.About the Episode:Manufacturing is undergoing a fundamental shift—from rigid, assembly-line systems to dynamic, data-driven environments powered by artificial intelligence. This episode explores how industrial AI is moving beyond predictive maintenance into real-time process optimization, where autonomous systems continuously learn, adapt, and outperform even the most experienced human operators. From improving product quality to minimizing waste, AI is reshaping how factories operate at their core.The conversation dives into real-world applications of autonomous AI, including its ability to fine-tune complex systems and deliver measurable results like significant energy savings and operational efficiency. It also addresses one of the industry’s biggest challenges: the loss of institutional knowledge as experienced workers retire, and how AI can preserve and scale that expertise.Looking ahead, the episode explores the slow but inevitable adoption of AI in manufacturing, the risks and barriers holding companies back, and what the future could look like as autonomous systems become more deeply embedded in industrial environments. The question isn’t whether AI will transform manufacturing—but how quickly companies are willing to embrace the change.About the Guest:Bryan DeBois is the Director of Industrial AI at RoviSys, one of the largest independent Global System Integrators focused on manufacturing and industrial customers. During the 20 years he's worked there, he has focused on Manufacturing Execution Systems, Historians, Plant Floor Software, and Level 3 Information Solutions in the Operational Technology space. Bryan’s current focus is on operationalizing technologies such as Artificial Intelligence, Data Infrastructure, and Advanced Analytics to boost the productivity of global manufacturers.Website: https://www.rovisys.com/Linkedin: https://www.linkedin.com/in/bryan-debois/Timestamps:00:01:04 - Episode Commences00:02:48 - Industrial AI Evolution at Robasys00:07:08 - AI in Modern Industrial Plants00:14:11 - AI-Driven Manufacturing Process Optimization00:20:54 - Autonomous AI for Energy Efficiency00:24:36 - Autonomous AI in Industrial Applications00:28:31 - AI Adoption in Manufacturing Challenges00:45:28 - Episode ConcludesAdditional Notes:For more check out the website: https://futuretechandforesight.com/Or connect with me on –Twitter: https://twitter.com/FutureTech_PodLinkedin: https://www.linkedin.com/company/futuretechandforesight/

May 1, 2026Episode 22747 min

AI Agents and Business Transformation (With Steve Brown) - Ep #227

Marc and Steve explore how AI agents are evolving, transforming businesses, and reshaping the way humans approach work, strategy, and productivity.About the Episode:The development of AI has reached a pivotal stage where businesses and individuals must understand how to leverage it for competitive advantage. From the foundation laid by Google's 2017 research to OpenAI’s launch of ChatGPT, the evolution of AI highlights the critical importance of timing, strategy, and adoption in driving meaningful results.This episode examines the capabilities of AI agents, including perception, memory, planning, and action modules that allow them to learn, reason, and execute tasks autonomously. Steve discusses how these agents can scale small businesses, automate complex processes, and even create entirely AI-first enterprises. The conversation also explores practical applications, security considerations, and the trajectory of AI capabilities in the near future.Looking ahead, Steve and Marc reflect on how AI could reshape society, potentially enabling post-labor economies, redefining business models, and emphasizing the growing importance of leaders who understand and strategically deploy AI. The discussion provides actionable insights for organizations aiming to stay competitive while responsibly integrating advanced AI technologies.About the Guest:Steve Brown is a leading voice on artificial intelligence, with experience as an executive at Google DeepMind and Intel. He has delivered hundreds of engaging, information-rich keynotes across five continents, helping global brands, Fortune 100 companies, startups, and government agencies leverage AI effectively. His clients include Nike, JP Morgan, Samsung, Lenovo, Comcast, Audi, Pepsi, and more. Steve specializes in guiding organizations on AI adoption, business transformation, and strategic innovation. Through his work, he continues to equip leaders with the knowledge and tools to harness AI for competitive advantage.Timestamps:00:01:09 - Episode Commences00:03:09 - AI Development: Timing and Strategy 00:09:13 - Embracing AI for Competitive Advantage00:12:26 - AI for Small Business Scaling00:18:14 - AI Agent Capabilities and Evolution00:22:57 - AI Capabilities and Security Concerns00:28:24 - AI's Impact on Business and Society00:45:28 - Episode ConcludesAdditional Notes:For more check out the website: https://futuretechandforesight.com/Or connect with me on –Twitter: https://twitter.com/FutureTech_PodLinkedin: https://www.linkedin.com/company/futuretechandforesight/

April 21, 2026Episode 22640 min

AI Receptionists and Humanoid Robots (With Filip Linek) - Ep #226

Marc and Filip explore how AI receptionists, virtual assistants, and humanoid robots are transforming hotel operations, improving guest communication, and addressing critical staffing shortages.About the Episode:The hospitality industry has faced unprecedented staffing challenges in recent years, leaving hotels struggling to deliver consistent service while controlling costs. AI and robotics are emerging as innovative solutions, enabling hotels to automate routine tasks and streamline guest interactions without replacing human staff entirely.This episode delves into the development and implementation of AI-powered receptionists and humanoid avatars, highlighting systems capable of handling multi-channel communication across platforms such as WhatsApp, email, and phone calls. From AI agents like Baya to holographic avatars like Beya and robots like Beau, hotels can now offer instant responses, personalized service, and real-time guest feedback while freeing human staff for higher-level interactions.Looking ahead, Filip and Marc discuss how AI and robotics may become standard across hotels within the next five years, helping smaller properties overcome staffing shortages while maintaining service quality. As technology continues to advance, the combination of virtual assistants, avatars, and humanoid robots promises a future where operational efficiency, guest experience, and human creativity coexist seamlessly.About the Guest:Filip Linek is the founder and CEO of Prague-based FLÆ Robotics, aiming to transform hotel front offices with BE-A, a cutting-edge operating system designed to address labor shortages and rising costs. He has built a 24/7 AI-powered virtual assistant capable of managing bookings, guest requests, and communications in more than 100 languages across multiple channels, including WhatsApp, email, and voice. His work integrates AI avatars and humanoid robots to complement human staff while improving operational efficiency. Through his work, Filip continues to redefine hospitality by blending technology, service, and human interaction.Website: https://flaerobotics.ai/Linkedin: https://www.linkedin.com/in/filip-linek-fl%C3%A6-robotics/Timestamps:00:01:13 - Episode Commences00:03:17 - AI Receptionist for Hotel Staffing00:07:02 - AI Receptionist System Development00:10:28 - Bear: Hotel Communication System Implementation00:13:48 - AI Implementation in Hotel Reception00:17:06 - Beya: Humanoid Holographic Hospitality Avatar00:19:23 - AI Implementation in Hotel Operations00:23:52 - AI's Role in Hotel Staffing00:28:50 - AI in Hotel Guest Communication00:35:24 - AI Development and Humanoid Robots 00:38:18 - Episode ConcludesAdditional Notes:For more check out the website: https://futuretechandforesight.com/Or connect with me on –Twitter: https://twitter.com/FutureTech_PodLinkedin: https://www.linkedin.com/company/futuretechandforesight/

April 14, 2026Episode 22547 min

AI Transforming the Future of Hiring (With James Terry) - Ep #225

Marc and James explore how AI-powered job matching and flexible workforce platforms are transforming recruitment, enabling faster hiring, fairer evaluations, and more control for workers.About the Episode:Hiring has long been one of the most time-consuming and inefficient processes in business. From submitting resumes to scheduling interviews, job seekers often face complex application systems while employers struggle to quickly identify the right candidates. Yet as technology evolves, new platforms are emerging to remove friction from the hiring process and make workforce management more dynamic.This episode explores how AI-driven job matching and flexible staffing models are reshaping the modern labor market. Instead of relying solely on traditional resumes and manual screening, companies can now use automated interviews, smart algorithms, and real-time data to connect workers with opportunities faster and more accurately. These systems not only improve efficiency for employers but also empower workers with greater choice and flexibility over when and how they work.Looking ahead, the discussion considers how AI could redefine the future of recruitment entirely. As digital validation systems and performance-based ratings become more common, hiring may shift toward a more transparent and merit-based model. In an increasingly dynamic economy, the ability to match the right talent to the right opportunity instantly may become one of the most important competitive advantages for businesses.About the Guest:James Terry is the Head of US Revenue at Indeed Flex, a technology-driven staffing platform transforming how businesses hire and how workers find flexible jobs. With deep expertise in workforce technology, recruitment innovation, and AI-powered staffing solutions, His work focuses on connecting businesses with qualified workers through smart matching technology and frictionless hiring systems. By leveraging AI and digital platforms, he supports companies in adapting to a more flexible and on-demand labor market. Through his work, James continues to help reshape how organizations and workers connect in the evolving future of employment.Website: https://indeedflex.co.uk/download-app/Linkedin: https://www.linkedin.com/in/james-terry-33023717/Timestamps:00:01:19 - Episode Commences00:03:26 - Indeed Flex: Instant Job Matching00:08:07 - Flexible Workforce Trends and Benefits00:14:00 - Blending Rigid and Flexible Work00:16:45 - Frictionless Job Search Technology00:20:10 - Client-Rated Worker Quality System00:22:19 - AI-Driven Fair Hiring System00:28:39 - AI Recruitment: Honest Candidate Insights00:30:58 - AI Transforming HR Processes00:45:38 - Episode ConcludesAdditional Notes:For more check out the website: https://futuretechandforesight.com/Or connect with me on –Twitter: https://twitter.com/FutureTech_PodLinkedin: https://www.linkedin.com/company/futuretechandforesight/