Podcasts about implementing ai

Recruiting Future is a podcast that helps Talent Acquisition teams drive measurable impact by developing their strategic capability in Foresight, Influence, Talent, and Technology.  This episode is about Influence and Technology. Talent Acquisition leaders are navigating a uniquely challenging period, juggling rapid advancements in AI with ongoing operational demands. The opportunity to automate routine tasks is clear, but the real challenge is determining where AI ends and human intervention begins.  With AI technologies rapidly reshaping the recruitment landscape, how can employers ensure they deploy AI strategically rather than superficially?  My guest this week is Chris Riche-Webber, VP Business Intelligence and Analytics at SmartRecruiters. Chris shares valuable insights into defining clear outcomes for AI deployment, experimenting effectively, and building genuine trust with technology vendors. In the interview, we discuss:  Current TA market realities Implementing AI to its full potential Defining the split between automation, augmentation, and obsolescence Why trust is critical for AI success Radical shifts in recruiter roles Hiring Manager self-service and why human backstops aren't the solution What will TA teams do when AI gives them increased capacity? How to build a business case What does the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Recruiting Future is a podcast that helps Talent Acquisition teams drive measurable impact by developing their strategic capability in Foresight, Influence, Talent, and Technology.  This episode is about Influence and Technology. Talent Acquisition leaders are navigating a uniquely challenging period, juggling rapid advancements in AI with ongoing operational demands. The opportunity to automate routine tasks is clear, but the real challenge is determining where AI ends and human intervention begins.  With AI technologies rapidly reshaping the recruitment landscape, how can employers ensure they deploy AI strategically rather than superficially?  My guest this week is Chris Riche-Webber, VP Business Intelligence and Analytics at SmartRecruiters. Chris shares valuable insights into defining clear outcomes for AI deployment, experimenting effectively, and building genuine trust with technology vendors. In the interview, we discuss:  Current TA market realities Implementing AI to its full potential Defining the split between automation, augmentation, and obsolescence Why trust is critical for AI success Radical shifts in recruiter roles Hiring Manager self-service and why human backstops aren't the solution What will TA teams do when AI gives them increased capacity? How to build a business case What does the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Recruiting Future is a podcast that helps Talent Acquisition teams drive measurable impact by developing their strategic capability in Foresight, Influence, Talent, and Technology.  This episode is about Influence and Technology. Talent Acquisition leaders are navigating a uniquely challenging period, juggling rapid advancements in AI with ongoing operational demands. The opportunity to automate routine tasks is clear, but the real challenge is determining where AI ends and human intervention begins.  With AI technologies rapidly reshaping the recruitment landscape, how can employers ensure they deploy AI strategically rather than superficially?  My guest this week is Chris Riche-Webber, VP Business Intelligence and Analytics at SmartRecruiters. Chris shares valuable insights into defining clear outcomes for AI deployment, experimenting effectively, and building genuine trust with technology vendors. In the interview, we discuss:  Current TA market realities Implementing AI to its full potential Defining the split between automation, augmentation, and obsolescence Why trust is critical for AI success Radical shifts in recruiter roles Hiring Manager self-service and why human backstops aren't the solution What will TA teams do when AI gives them increased capacity? How to build a business case What does the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

What's up everyone, today we have the pleasure of sitting down with Ankur Kothari, Adtech and Martech Consultant who's worked with big tech names and finance/consulting firms like Salesforce, JPMorgan and McKinsey.The views and opinions expressed by Ankur in this episode are his own and do not necessarily reflect the official position of his employer.Summary: Ankur explains how most AI personalization flops cause teams ignore the basics. He helped a brand recover millions just by making the customer journey actually make sense, not by faking it with names in emails. It's all about fixing broken flows first, using real behavior, and keeping things human even when it's automated. Ankur is super sharp, he shares a practical maturity framework for AI personalization so you can assess where you currently fit and how you get to the next stage. AI Personalization That Actually Increases Retention - Practical ExampleMost AI personalization in marketing is either smoke, mirrors, or spam. People plug in a tool, slap a customer's first name on a subject line, then act surprised when the retention numbers keep tanking. The tech isn't broken. The execution is lazy. That's the part people don't want to admit.Ankur worked with a mid-sized e-commerce brand in the home goods space that was bleeding revenue; $2.3 million a year lost to customers who made one purchase and never returned. Their churn rate sat at 68 percent. Think about that. For every 10 new customers, almost 7 never came back. And they weren't leaving because the product was bad or overpriced. They were leaving because the whole experience felt like a one-size-fits-all broadcast. No signal, no care, no relevance.So he rewired their personalization from the ground up. No gimmicks. No guesswork. Just structured, behavior-based segmentation using first-party data. They looked at:Website interactionsPurchase historyEmail engagementCustomer service logsThen they fed that data into machine learning models to predict what each customer might actually want to do next. From there, they built 27 personalized customer journeys. Not slides in a strategy deck. Actual, functioning sequences that shaped content delivery across the website, emails, and mobile app.> “Effective AI personalization is only partly about the tech but more about creating genuinely helpful customer experiences that deliver value rather than just pushing products.”The results were wild. Customer retention rose 42 percent. Lifetime value jumped from $127 to $203. Repeat purchase rate grew by 38 percent. Revenue climbed by $3.7 million. ROI hit 7 to 1. One customer who previously spent $45 on a single sustainable item went on to spend more than $600 in the following year after getting dropped into a relevant, well-timed, and non-annoying flow.None of this happened because someone clicked "optimize" in a tool. It happened because someone actually gave a damn about what the customer experience felt like on the other side of the screen. The lesson isn't that AI personalization works. The lesson is that it only works if you use it to solve real customer problems.Key takeaway: AI personalization moves the needle when you stop using it as a buzzword and start using it to deliver context-aware, behavior-driven customer experiences. Focus on first-party data that shows how customers interact. Then build distinct journeys that respond to actual behavior, not imagined personas. That way you can increase retention, grow customer lifetime value, and stop lighting your acquisition budget on fire.Why AI Personalization Fails Without Fixing Basic Automation FirstSigning up for YouTube ads should have been a clean experience. A quick onboarding, maybe a personalized email congratulating you for launching your first campaign, a relevant tip about optimizing CPV. Instead, the email that landed was generic and mismatched—“Here's how to get started”—despite the fact the account had already launched its first ad. This kind of sloppiness doesn't just kill momentum. It exposes a bigger problem: teams chasing personalization before fixing basic logic.Ankur saw this exact issue on a much more expensive stage. A retail bank had sunk $2.3 million into an AI-driven loan recommendation engine. Sophisticated architecture, tons of fanfare. Meanwhile, their onboarding emails were showing up late and recommending products users already had. That oversight translated to $3.7 million in missed annual cross-sell revenue. Not because the AI was bad, but because the foundational workflows were broken.The failure came from three predictable sources:Teams operated in silos. Innovation was off in its own corner, disconnected from marketing ops and customer experience.The tech stack was split in two. Legacy systems handled core functions, but were too brittle to change. AI was layered on top, using modern platforms that didn't integrate cleanly.Leaders focused on innovation metrics, while no one owned the state of basic automation or email logic.To fix it, Ankur froze the AI rollout for 120 days and focused on repair work. The team rebuilt the essential customer journeys, cleaned up logic gaps, and restructured automation to actually respond to user behavior. This work lifted product adoption by 28 percent and generated an additional $4.2 million in revenue. Once the base was strong, they reintroduced the AI engine. Its impact increased by 41 percent, not because the algorithm improved, but because the environment finally supported it.> “The institutions that win with AI are the ones that execute flawlessly across all technology levels, from simple automation to cutting-edge applications.”That lesson applies everywhere, including in companies far smaller than Google or JPMorgan. When you skip foundational work, every AI project becomes a band-aid over a broken funnel. It might look exciting, but it can't hold.Key takeaway: Stop using AI to compensate for broken customer journeys. Fix your onboarding logic, clean up your automation triggers, and connect your systems across teams. Once the fundamentals are working, you can layer AI on top of a system that supports it. That way you can generate measurable returns, instead of just spinning up another dashboard that looks good in a QBR.Step by Step Approach to AI Personalization With a Maturity Framework - The First Steps You Can Take on The Path To AI PersonalizationMost AI personalization projects start with a 50-slide vision deck, three vendors, and zero working use cases. Then teams wonder why things stall. What actually works is starting small and surgical. One product. One journey. Clear data. Clear upside.Ankur advised a regional bank that had plenty of customer data but zero AI in play. No need for new tooling or a six-month roadmap. They focused on one friction-heavy opportunity with direct payoff: mortgage pre-approvals. Forget trying to personalize every touchpoint. They picked the one that mattered and did it well.They built a clustering algorithm using transaction patterns, savings trends, and credit utilization to detect home-buying intent. From there, they pushed pre-approvals with tailored rates and terms. The bank already had the raw data in its core systems. No scraping, no extra collection, no “data enrichment” vendor needed.That decision paid off fast:The data already existed, so implementation moved quicklyThe scope was limited to a single high-stakes journeyThe impact landed hard: mortgage application rates jumped 31 percent and approval-to-close conversions climbed 24 percent within 60 days> “Start with a high-value product journey where pers...

Episode SummaryIn this provocative and insightful episode, OnBase host Chris Moody reunites with Lukas Egger to discuss one of the most talked-about frontiers in business innovation: agentic AI. Lukas explores how companies can move beyond demos and hype to implement AI in ways that reshape business models and unlock new value creation.Key TakeawaysPrioritizing Agentic AI: Leaders must prioritize agentic AI for business preparedness due to the significant investment and potential for new value creation.Understanding Misconceptions: It's crucial to recognize the "Jagged Frontier of AI," where AI's capabilities are counterintuitive, and avoid the "Lego brick fallacy," which assumes AI can be simply plugged into existing processes.Lowering Cost of Failure: To confidently adopt AI, businesses must systematically lower the cost of failure, iterate quickly, and democratize the process.Data-Driven Insights: Robust data and real answers are essential for understanding the ROI and impact of AI changes on business processes, systems, and people.Competitive Advantage: Instead of focusing solely on common AI use cases, businesses should identify their unique, unfair advantages and engage in rapid iterations and customer conversations to discover differentiating functionalities.Integrated Innovation: Marketing, sales, and business development should be involved early in the AI innovation process to ensure that new solutions align with market needs and monetization strategies.Beyond Peacocking: Avoid simply "peacocking" with AI by replicating what others are doing; instead, focus on deep integration and solving real business problems.Best Moments 02:00 – Lukas describes his nonlinear path from philosophy and startups to enterprise innovation at SAP.05:00 – The promise of agentic AI: opening up new domains for value creation and strategic repositioning.10:00 – Breaking down misconceptions: why traditional planning fails in the face of fast-moving AI.15:00 – Lowering the cost of failure and why “small wins” are key to long-term adoption.20:00 – Avoiding AI homogeneity: how to resist the urge to copy competitors and build a real moat.26:00 – Implementing AI at scale in large organizations: the hidden value of domain expertise and transparency.32:00 – The behaviors leaders must change to avoid missing the AI wave entirely.38:00 – Why marketers and sales teams must embed in AI development—early and often.Shout-outsHelen and Dave Edwards, Co-Founders of Artificiality Institute who discuss the emotional components of AI technology.Peter Temes, Founder and President, ILO Institute, for his deep understanding of basicAbout the GuestLukas N.P. Egger leads the Innovation Office & Strategic Projects team at SAP Signavio, where he focuses on de-risking new product ideas and establishing best-in-class product discovery practices. With a successful track record in team building and managing challenging projects, Lukas has expertise in data-driven technology, cloud-native development, and has created and implemented a new product discovery methodology. Excelling at bridging the gap between technical and business teams, he has worked in AI, operations, and product management in fast-growth environments. As a founder, he has experience building lean and iterating quickly to create saleable software with limited resources while fostering loyalty. Lukas has movie credits for his work in Computer Graphics research, published a book on philosophy, and is passionate about the intersection of technology and people, regularly speaking on how to improve organizations.Connect with Lukas.

In this episode, we sit down with a seasoned entrepreneur and current CEO of Entrata to discuss his journey through the tech industry, the importance of community, and the future of tech in Utah. From starting his first business in college to leading one of Utah's most promising tech companies, our guest shares invaluable insights and lessons learned along the way. 00:00 - Reconnecting After Years00:26 - Joining the Silicon Slopes Board01:01 - Early Business Influences and Mentorship02:01 - Building a Network in Utah03:05 - Learning from Industry Leaders03:47 - Personal and Professional Growth04:19 - Community Response to COVID-1905:09 - Challenges of Podcasting05:51 - Documenting Utah's Tech History06:51 - Importance of Mentorship and Community07:28 - Balancing Mentorship and Business Focus08:17 - Role of Silicon Slopes in the Tech Community09:03 - Founding Silent Whistle10:10 - Challenges and Successes of Silent Whistle11:48 - Exiting Silent Whistle12:25 - Founding Allegiance and Its Challenges13:45 - Lessons Learned from Allegiance14:48 - Joining Podium and Finding Product-Market Fit15:59 - Rapid Growth at Podium16:48 - Gaining Confidence and Raising Funds17:47 - Identity and Success18:40 - Detaching Identity from Business20:04 - Authenticity and Personal Roles22:02 - Public Perception and Criticism24:12 - Navigating Public Scrutiny25:33 - Taking a Year Off for Mental Health26:57 - Importance of Human Connection28:01 - Investing in Authentic Relationships30:24 - Leading Entrata32:00 - Entrata's Mission and Growth33:55 - Potential for Going Public36:32 - Implementing AI at Entrata39:41 - Future of AI in Tech40:51 - Maintaining Utah's Tech Magic If you enjoyed this video and want to support us please leave a LIKE, write a comment on this video and Share it with your friends. Subscribe to our channel on YouTube and click the icon for notifications when we add a new video. Let us know in the comments if you have any questions. Our website:https://www.siliconslopes.comShow Links:https://www.entrata.com Social:Twitter -https://twitter.com/siliconslopesInstagram -https://www.instagram.com/siliconslopes/LinkedIn -https://www.linkedin.com/company/silicon-slopes/YouTube -https://www.youtube.com/channel/UC8aEtQ1KJrWhJ3C2JnzXysw

Listen now: subscribe and join 1,000s of IT Leaders changing the face of IT. ON THIS EPISODE: ➤ Strategic approaches to implementing AI in healthcare technology ➤ Effective methods for retaining top IT talent in today’s market ➤ Building successful hybrid work environments ➤ Bridging knowledge gaps between veteran and new-gen tech professionals ➤ Building...

In episode 201, Coffey talks with Jodi Brandstetter about using “design thinking” to effectively integrate AI into HR processes.  They discuss how design thinking focuses on understanding problems from both business and human perspectives; the importance of starting with one specific HR challenge when implementing AI; how AI can assist throughout each stage of the design thinking process; ethical considerations when selecting AI vendors; concerns about job displacement versus job evolution; the value of transparency when implementing AI that affects employees; practical applications like improving communication and automating administrative tasks; security considerations when using AI tools; and the need to continuously test AI tools for bias and effectiveness. Good Morning, HR is brought to you by Imperative—Bulletproof Background Checks. For more information about our commitment to quality and excellent customer service, visit us at https://imperativeinfo.com.  If you are an HRCI or SHRM-certified professional, this episode of Good Morning, HR has been pre-approved for half a recertification credit. To obtain the recertification information for this episode, visit https://goodmorninghr.com.  About our Guest: Jodi Brandstetter is an HR consultant, bestselling author, and speaker who specializes in integrating design thinking and AI into HR practices. As the founder of Lean Effective Talent Strategies, she helps small to midsize companies in science, manufacturing, engineering, and technology modernize their talent strategies. With over 20 years of experience, she is certified in Design Thinking and has authored books like Hire by Design and HR by Design. Jodi lives outside of Cincinnati, OH with her husband, daughter and fur babies. Jodi Brandstetter can be reached at:https://jodibrandstetter.com https://linkedin.com/in/jodibrandstetter  About Mike Coffey: Mike Coffey is an entrepreneur, licensed private investigator, business strategist, HR consultant, and registered yoga teacher.In 1999, he founded Imperative, a background investigations and due diligence firm helping risk-averse clients make well-informed decisions about the people they involve in their business.Imperative delivers in-depth employment background investigations, know-your-customer and anti-money laundering compliance, and due diligence investigations to more than 300 risk-averse corporate clients across the US, and, through its PFC Caregiver & Household Screening brand, many more private estates, family offices, and personal service agencies.Imperative has been named a Best Places to Work, the Texas Association of Business' small business of the year, and is accredited by the Professional Background Screening Association. Mike shares his insight from 25+ years of HR-entrepreneurship on the Good Morning, HR podcast, where each week he talks to business leaders about bringing people together to create value for customers, shareholders, and community.Mike has been recognized as an Entrepreneur of Excellence by FW, Inc. and has twice been recognized as the North Texas HR Professional of the Year. Mike serves as a board member of a number of organizations, including the Texas State Council, where he serves Texas' 31 SHRM chapters as State Director-Elect; Workforce Solutions for Tarrant County; the Texas Association of Business; and the Fort Worth Chamber of Commerce, where he is chair of the Talent Committee.Mike is a certified Senior Professional in Human Resources (SPHR) through the HR Certification Institute and a SHRM Senior Certified Professional (SHRM-SCP). He is also a Yoga Alliance registered yoga teacher (RYT-200) and teaches multiple times each week. Mike and his very patient wife of 28 years are empty nesters in Fort Worth.   Learning Objectives: 1.       Apply design thinking methodology when implementing AI to ensure solutions address both business needs and employee experiences.2.       Evaluate AI tools with a focus on responsible vendors, data security, and potential bias to protect both organizations and individuals.3.       Prepare employees for workplace evolution by being transparent about AI implementation and providing upskilling opportunities for roles affected by automation.

In this episode of Great Question: A Manufacturing Podcast, Thomas Wilk, chief editor of Plant Services, is joined by Christine Nishimoto, director of asset management software at IBM, for an insightful discussion on how AI agents are reshaping data-driven asset management. Together, they explore the evolving role of artificial intelligence in improving productivity, sustainability, and safety across manufacturing sectors. From tackling long-standing data challenges to envisioning multi-agent systems that can automate complex workflows, the conversation highlights the transformative potential of AI tools in industrial environments. Christine also emphasizes the importance of transparency, data integrity, and regulatory compliance as organizations adopt these technologies. Key takeaways Clean, accessible, and accurate data is critical for effective AI-driven asset management. AI agents can automate multistep tasks like work order creation, boosting efficiency. Tailored AI tools must respect industry-specific privacy and compliance standards. Adoption of AI across sectors is accelerating, revealing untapped optimization potential.

Summary:In this episode of #thePOZcast, host Rona Pierce speaks with Matt Lavery, Director of Global Sourcing, Recruiting, and Onboarding at UPS. They discuss Matt's journey from a seasonal handler to a leadership role, the impact of AI and automation on hiring processes, and the importance of internal mobility and career progression within UPS. Matt shares insights on enhancing candidate experience, ethical considerations in AI usage, and valuable leadership lessons learned throughout his career.Takeaways- Matt Lavery's journey at UPS showcases the value of internal mobility.- AI and automation have significantly improved the hiring process at UPS.- Speed and transparency are key factors in candidate experience.- Understanding the problem is crucial before implementing AI solutions.- Leadership involves providing clarity and empowering teams.- UPS hires around 200,000 people annually, especially during peak seasons.- NPS scores indicate high candidate satisfaction with the hiring process.- Internal mobility pathways are essential for employee retention.- Technology can enhance the candidate experience and streamline processes.- Change management requires careful planning and communication. Chapters00:00 Introduction to the POScast and Guest Background01:21 Matt Lavery's Journey at UPS03:58 The Impact of AI and Automation on Hiring10:21 Enhancing Candidate Experience through Technology13:42 Internal Mobility and Career Progression at UPS17:50 Lessons Learned in Implementing AI in Hiring20:30 Leadership Insights and Hiring Myths22:12 Proud Moments and Closing Thoughts    

On this episode of The Medical Alley Podcast, we present a recent webinar focused on how AI can improve patient engagement, enhance operational efficiency, and navigate key challenges like data privacy, algorithmic bias, and compliance.Featuring Life Link III's Kolby Kolbet, MSN, RN, FACHE, CMTE, FAASTN and MentorMate's Josh Marquart.Send us a message! Follow Medical Alley on social media on LinkedIn, Facebook, X and Instagram.

#399 In this episode, Brigham Dallas shares his unique entrepreneurial journey and the lessons learned while scaling Hello Sugar to a whopping 89 units. From employee retention strategies, the impact of company culture, to the advantages of technology such as AI in the workplace, Dallas shares it all. He also shares the critical role of leadership, savvy financial management, and the art of selecting the right partnerships and customers to nurture growth. Brigham reveals how refining branding and understanding the market led to skyrocketing engagement, and how rewarding employees can create a workplace where everyone thrives. (Original Air Date - 5/8/24) What we discuss with Brigham: + From College Dropout to Entrepreneur + Growing the business to 89 franchise units + Key Strategies for Workforce Optimization and Retention + Employee Retention and Leadership + Technologies Improving Operations + Balancing Financial Risk and Growth + Starting with minimal funds and scaling the business + Refining Brand Strategy and Franchising + Creating hiring protocols and refining brand concepts + Overcoming Operational Hurdles + Focusing on repeat customers and effective rebooking + Implementing AI for Customer Interaction + Reducing response time and human intervention requirements + Enhancements in Service Experience + The Psychological Aspects of Employee Rewards Thank you, Brigham! We want to extend our heartfelt thanks to Brigham for sponsoring today's podcast episode. Make sure to check out ⁠Hello Sugar here⁠ and to connect with Brigham, click ⁠here.⁠ For more information go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ MillionaireUniversity.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ To get access to our FREE Business Training course go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MillionaireUniversity.com/training.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ And follow us on: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tik Tok⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Youtube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ To get exclusive offers mentioned in this episode and to support the show, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠millionaireuniversity.com/sponsors⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. EXCLUSIVE NordVPN Deal ➼ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://nordvpn.com/millionaire⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Try it risk-free now with a 30-day money-back guarantee! Want to hear from more incredible entrepreneurs? Check out all of our interviews ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠! Learn more about your ad choices. Visit megaphone.fm/adchoices

I'm joined by HR expert Jackie Koch, who brings a wealth of knowledge and experience from her extensive background in high-growth startups and HR consulting. We dive into one of the most challenging aspects of entrepreneurship: hiring. Whether you're debating whether to buy talent or build it within your organization, this conversation has invaluable insights for you.   Jackie and I explore the pros and cons of both approaches, discuss the importance of aligning your expectations with your hiring decisions, and share practical advice on interviewing, onboarding, and creating a workplace culture that nurtures growth. We also touch on the significance of investing in tools and processes that set your hires up for success from day one. Don't miss this episode if you're looking to refine your hiring strategy and avoid costly mistakes. Tune in now and take the first step towards smarter hiring practices!   What You'll hear in this episode: [00:50] Meet Jackie Koch: HR Expert and Business Bestie [01:40] The Importance of Hiring the Right People [02:55] Jackie's Background and Expertise [04:05] Challenges of Transitioning from Corporate to Startup [07:00] The Build vs. Buy Talent Dilemma [16:25] Benefits and Drawbacks of Buying Talent [22:15] Benefits and Drawbacks of Building Talent [24:40] The Challenge of Hiring the Right Talent [25:35] Building Talent: The Complexities and Importance [26:30] Mentoring and Coaching: A Foundational Component [26:45] Implementing AI and Training Systems [28:45] The Cost and Benefits of Building Talent [30:05] Transparency and Honesty in Hiring [35:30] Learning from Past Experiences [42:05] The Importance of Clear Job Descriptions [46:05] Resources for Improving Hiring Processes   If you like this episode, check out: My 3 Favorite Interview Questions Authentic Hiring: Showcase Your Values How to Keep Employees Loyal   Connect with Jackie: Check out the World's Greatest Boss Podcast https://www.peopleprinciples.co/podcast Learn more about hiring and HR templates peopleprinciples.co Connect with Jackie on LinkedIn https://www.linkedin.com/in/jackiemkoch/   Want to learn more so you can earn more?  Visit keepwhatyouearn.com to dive deeper on our episodes  Visit keepwhatyouearncfo.com to work with Shannon and her team  Watch this episode and more here: https://www.youtube.com/channel/UCMlIuZsrllp1Uc_MlhriLvQ  Connect with Shannon on IG: https://www.instagram.com/shannonkweinstein/   The information contained in this podcast is intended for educational purposes only and is not individual tax advice. Please consult a qualified professional before implementing anything you learn.

AI right? We love it. But how do we actually implement it effectively, efficiently and compliantly into our talent team and business? Sam Dhesi, CEO of Popp, fills us in.

Entrepreneur Carl Taylor joins Tyron Hyde on "Ten with Ty" to discuss wealth creation, business strategy, and work-life balance for dads. Carl shares insights on his entrepreneurial journey, the success of his digital marketing company, Automation Agency, and the benefits of investing in education and mentorship. He reveals his impressive returns from cryptocurrency investments and offers practical advice for achieving financial freedom. The episode also delves into the importance of setting boundaries to balance family life while running a successful business.Watch on YoutubeThroughout the episode, Carl provides an in-depth look at his journey from a teenage software coder to owning a successful marketing automation company, Automation Agency. He also discusses his mission to empower entrepreneur fathers through his Dadpreneur initiative, focusing on work-life balance and personal fulfilment.The conversation delves into Carl's wealth creation strategies, exploring unexpected successes such as his passive income achievements from a single blog post and investments in cryptocurrency. Emphasising the importance of strategic business operations, Carl discusses the advantages of automation and AI integration in business processes. The episode is filled with practical advice on investment strategies, the power of education and networking, and valuable lessons learned from navigating both successful and challenging business ventures.Key Takeaways:Carl Taylor successfully turned a 40-minute blog post into over $840,000 in passive income by leveraging affiliate marketing.Investing in education, mentorship, and networking can provide both substantial financial returns and invaluable professional relationships.Carl advocates the necessity of designing an ideal work-life balance, particularly for business-oriented fathers through his Dadpreneur initiative.Despite experiencing financial setbacks, strategic investments in cryptocurrency yielded Carl an impressive 5,392% return over 14 years.Implementing AI and automation in business enhances operational efficiency and can significantly reduce the time entrepreneurs spend on routine tasks.Notable Quotes:"I put about 40 minutes of time to record a video and write a blog Post back in 2014 sharing my views on a piece of software. And that one blog post has made me $840,000 in true passive income.""From a financial percentage return, [crypto] has been my absolute best investment.""So we help them (Dadpreneurs) build a business that doesn't rely on them, step out of the day-to-day through automation, team, etc, smart ways of working.""Financial freedom equals passive income, exceeding your expenses.""If you can't manage the money that you currently have, why would God or the universe give you more?"Resources:Carl Taylor: carltaylor.com.au IG @carltaylorAutomation Agency: automationagency.comDadpreneur: dadpreneur.comT. Harv Eker: "Secrets of a Millionaire Mind"Robert Kiyosaki: "Cash Flow" Board GameWatch YouTubeDownload Spotify Apple Tyron Hyde is the CEO of Washington Brown Quantity Surveyors

This is episode 1 of the series: Embracing AI in Healthcare: Enabling Nurses to be Nurses EpisodeEpisode 1: The Role of AI in NursingArtificial intelligence is reshaping healthcare by streamlining workflows and reducing administrative burdens, allowing nurses to focus more on patient care. This episode explores the current applications of AI in healthcare, its impact on patient outcomes, common misconceptions, and the importance of balancing AI's capabilities with human clinical judgment. While AI is a powerful tool, critical thinking and professional expertise remain essential in patient care.Episode 2: Implementing AI in Nursing WorkflowsSuccessfully integrating AI into nursing practice requires thoughtful implementation, leadership support, and effective training. This episode delves into how AI can enhance efficiency, improve patient outcomes, and support nurses in their roles while addressing key ethical considerations. By understanding best practices in AI adoption, nurses can leverage technology to optimize care while maintaining their central role in the patient experience.  ---Nurses may be able to complete an accredited CE activity featuring content from this podcast and earn CE hours provided from Elite Learning by Colibri Healthcare. For more information, click hereAlready an Elite Member? Login hereLearn more about CE Podcasts from Elite Learning by Colibri HealthcareView Episode TranscriptView this podcast course on Elite LearningSeries: Embracing AI in Healthcare: Enabling Nurses to be Nurses Episode

This is episode 2 of the series: Embracing AI in Healthcare: Enabling Nurses to be Nurses EpisodeEpisode 1: The Role of AI in NursingArtificial intelligence is reshaping healthcare by streamlining workflows and reducing administrative burdens, allowing nurses to focus more on patient care. This episode explores the current applications of AI in healthcare, its impact on patient outcomes, common misconceptions, and the importance of balancing AI's capabilities with human clinical judgment. While AI is a powerful tool, critical thinking and professional expertise remain essential in patient care.Episode 2: Implementing AI in Nursing WorkflowsSuccessfully integrating AI into nursing practice requires thoughtful implementation, leadership support, and effective training. This episode delves into how AI can enhance efficiency, improve patient outcomes, and support nurses in their roles while addressing key ethical considerations. By understanding best practices in AI adoption, nurses can leverage technology to optimize care while maintaining their central role in the patient experience.  ---Nurses may be able to complete an accredited CE activity featuring content from this podcast and earn CE hours provided from Elite Learning by Colibri Healthcare. For more information, click hereAlready an Elite Member? Login hereLearn more about CE Podcasts from Elite Learning by Colibri HealthcareView Episode TranscriptView this podcast course on Elite LearningSeries: Embracing AI in Healthcare: Enabling Nurses to be Nurses Episode

After a frustrating week of trying to wrangle AI outputs, we decided to explore the risks of overreliance on AI. It's good for us to question our tools. It enhances our processes and challenges us to find the right tools.Listen on Spotify | Listen on Apple Podcasts | Watch on YouTubeIn this episode, we say the quiet parts out loud. Not only are LLMs often feeding us incorrect information, but over-trusting these systems poses a serious risk.We can look at this Rolling Stone article headline and immediately laugh it off. It is insane to believe this will happen to anyone we know. However, in Mark Zuckerberg's vision of the AI future, your friends will be bots. The loneliness epidemic is real. One in three Americans feels lonely every week. Data from Harvard's Making Caring Common Project supports that loneliness is tied to increasing feelings of anxiety, not part of this country, and being about more than social isolation. 65% of respondents blame “our society,” pointing to a lack of confidence in our way of life and institutions.So, it should be no surprise that Harvard Business Review found that the top three use cases of 2025 involved loneliness and navigating life's stresses.AI could quickly become the next addiction for a world desperate for solutions. The fact that there's demand for robo-companionship shouldn't be treated as validation for building more tools to disassociate them from life. Let's go back to exploring this topic from the perspective of business users.Understanding GenAI's Productivity GainsAs we barrel into the AI-powered era, we can take one of two perspectives:* GenAI products are the next evolution of SaaS: Precise tools for specific workflows* LLMs are the next evolution of social media, where instead of degrading our interpersonal relationships, AI will addict us to easy and often incorrect informationThe majority of the research identified productivity gains and time savings, which would support the goal of GenAI as a professional advantage. But when you dig into the data, there are concerns.Many are funded by Microsoft, OpenAI, and Google, like this one showing that GitHub Copilot users completed tasks 55.8% faster than the control group. While that result was impressive, they were being assessed on their ability to complete a very basic task. The paper's results were boosted by showing that people with less experience benefit more from coding assistants, something that should worry anyone concerned about being replaced by cheaper talent who are boosted by AI.But these results were refuted in a separate study where no DevOps productivity gains were found from using the same GitHub Copilot. That study found the code quality to be poor, leading to a 41% increase in bugs!Remember that GitHub is owned by Microsoft and powered by OpenAI's foundation model, ChatGPT.This contradictory data highlights a paradox of GenAI: The technology is increasingly more successful at a basic task-level, but shouldn't be over-relied on to do our work for us. This Danish study hammers that point home: Time saved by AI offset by new work created. If we shake ourselves out of the AI hype stupor, we can critically examine the current state of LLMs more like SaaS tools. 95% of SaaS tools available won't help you and your business. Once you find the right tool for your hyper-specific use case, the AI product's success will depend on its implementation and the first-party data entered into it.Thanks for reading Design of AI: Strategies for Product Teams & Agencies! More Research about Using AIBehavioural research about AI should be considered a counterpoint to the benefits of AI. Yes, leveraging GenAI will have productivity gains in specific circumstances. But the technology also brings with it risks and considerations that built into the design and business case of “should we build this” discussions.* Increased AI use linked to eroding critical thinking skills* When experiencing time pressures, we're more susceptible to misinformation* AI systems are already capable of deceiving humans* People Facing Life-or-Death Choice Put Too Much Trust in AI* AI's Trust Problem: Twelve persistent risks of AI that are driving skepticismCatch up on Recent Design of AI Episodes31. AI is Disrupting Architecture and Lessons for Digital Product TeamsGuest Matthew Krissel (FAIA) explores how AI is reshaping architectural design and what digital product teams can learn about process, creativity, and scale from the built environment.30. Take Control of AI's Predictive Power – Tyler Hochman, ForethoughtTyler Hochman shares how businesses can operationalize AI for forecasting and insights by targeting high-value, repeatable problems and unlocking underutilized data.29. Trust is a Double‑edged Sword: AI will Transform Services – Sarah Gold, Projects by IFSarah Gold explains how AI changes our relationship with services and why it's urgent to rethink trust, transparency, and accountability in product design.28. AI will Transform Product Research – John Whalen, Author & PsychologistJohn Whalen outlines how AI can automate user research tasks and speed up insights while cautioning where human interpretation is still irreplaceable.27. Implementing AI in Creative Teams: Why Adoption Will Surge – Jan Emmanuele, WondercraftJan Emmanuele shares real-world strategies for rolling out AI in creative teams, tracking ROI, and overcoming fear and friction in adoption. 26. Designing a New Relationship with AI – Critical Mindset Shifts for Success – Sara ViennaSara Vienna emphasizes why designers must rethink their role and mindset in an AI-powered world—moving from tool experts to value creators.25. Faster, Cheaper, Better: AI's Transformation of Insights & Strategy – David BoyleDavid Boyle discusses how AI is reducing the cost and time of gathering insights while also introducing new pitfalls that only expert interpretation can avoid. 24. Adding AI to Miro – Case Study in Improving the UX of Existing Products – Ioana TeleanuIoana Teleanu discusses the strategic thinking behind introducing AI to Miro's design tools without compromising the user experience.23. AI in Healthcare: Challenges of Implementing in Complex Industries – Dr. Spencer DornDr. Dorn explores why healthcare has been both cautious and optimistic with AI, offering lessons for anyone deploying AI in regulated or high-stakes fields. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit designofai.substack.com

Imagine if your top expert—maybe even you—could be available 24/7, across multiple languages, without burning out. Sounds like science fiction? For many SMB leaders, the knowledge held by key individuals becomes a bottleneck, limiting growth and overwhelming crucial team members. But what if AI offered a way not to replace, but to amplify that irreplaceable human expertise? Today, I'm talking with George B. Thomas, widely known as "The HubSpot Helper," but we're diving deep into something even more cutting-edge. George has actually built an AI Digital Clone of himself – an AI trained on over 16 million words of his unique content, insights, and perhaps most importantly, his core values and beliefs. Discover how this isn't just about creating a chatbot, but about authentically scaling human expertise to augment his team and serve his audience in ways previously impossible. George firmly believes AI's true power lies in augmentation, not replacement. He shares how his AI clone functions as an internal assistant, a content creation partner, and an external resource, allowing his human team to focus on higher-value tasks. Forget the hype; this is a real-world look at creating a human-centric AI that embodies your unique essence. CHAPTERS 00:00 Introduction: The Purpose of Cloning Yourself 00:47 The AI Hat Podcast Theme Song 01:55 Welcome to The AI Hat Podcast 02:18 Introducing George B. Thomas: The HubSpot Helper 04:24 The Importance of Business Process Optimization 06:41 Mike's Superpower: Extra Time for Side Hustles 07:52 Creating a Digital Clone: The Journey Begins 09:18 Feeding the Clone: Content and Context 14:06 The Technology Behind the Clone 22:08 Human-Centered AI: Balancing Technology and Humanity 23:40 Embracing AI for Augmentation 26:05 Sponsor Message: Magai 27:03 AI-Generated Music and Multimodal Interaction 31:03 The Future of AI Clones in Business 34:19 Monetizing AI Clones 41:58 Advice for Implementing AI in Your Business 46:22 Conclusion and Contact Information SHOW TRANSCRIPT & NOTES: https://theaihat.com/ai-digital-clone-how-to-augment-your-teams-expertise-with-george-b-thomas/ Start your AI journey with the AI Marketing Primer. Brought to you by The AI Hat - Get Your AI On. Interesting in sponsoring an episode? Learn more here. AI Training for Business Leaders & Teams: https://theaihat.com/ai-training-for-business/ Powered by Magai - why choose one AI tool when you can have them all? And Descript, the magic wand for podcasters. Produced and Hosted by Mike Allton, AI Consultant & Trainer at The AI Hat, where he's tirelessly helping businesses and marketers get ahead of the AI Revolution and apply advanced technologies to their roles. He's spent over a decade in digital marketing, bringing an unparalleled level of experience and excitement to the fore, whether he's delivering a presentation or leading a workshop. If you're interested in helping business owners with AI in an upcoming episode, reach out to Mike.Powered by the Marketing Podcast Network. Learn more about your ad choices. Visit megaphone.fm/adchoices

Five Things You Should Know as a Leader Implementing AIThere is no playbook... YetDo NOT be afraid to experimentAI technology advances quicklyAI will NOT solve everythingBe a responsible leader when implementing AIBONUS - Find the right coach / trainer when implementing AI. Do not go at it alone. You will waste too much time learning outdated materials. How to connect with AgileDad:- [website] https://www.agiledad.com/- [instagram] https://www.instagram.com/agile_coach/- [facebook] https://www.facebook.com/RealAgileDad/- [Linkedin] https://www.linkedin.com/in/leehenson/

Pam Didner, B2B marketing expert and author of The Modern AI Marketer, joins A. Lee Judge to break down why prompting, automation, and AI-driven workflows are now critical for marketers.She shares practical frameworks for individuals, teams, and enterprises - and explains why focusing on workflows (not tools) is the key to staying competitive.If you want real-world strategies to future-proof your marketing career in an AI-first world, this conversation is essential.Conversation points:Why prompting is now a core skill for marketers (not just a tech thing)How to automate repetitive marketing tasks with AIScaling AI across marketing teams without creating chaosWhy chasing AI news headlines wastes time, and what to focus on insteadHow Copilot, ChatGPT, and enterprise AI tools fit into future workflowsPractical frameworks for evolving your marketing career with AI0:00 - The AI News Overload & Introduction to Guest Pam Didner1:51 - Pam's New Book: AI for the Modern Marketer3:46 - B2B Focus & Who the Books Are For4:39 - Is Prompting Now a Core Marketing Skill?5:20 - Will Prompt Engineering Become a Marketing Job?8:12 - Scaling AI in Marketing: Individual, Team, and Enterprise Levels12:40 - Frameworks for Implementing AI & Marketing Workflow Automation15:41 - Automating Repetitive Tasks vs. Human Creativity19:25 - How to Keep Up (or Not) with the Rapid Pace of AI24:08 - Copilot vs. Other LLMs: Enterprise AI Tool Choices28:26 - Final Book Overview & Where to Connect with Pam A. Lee Judge is the creator and host of The Business of Marketing podcast.Please follow the podcast on your favorite podcast listening platform.This podcast is produced by Content Monsta - A leading producer of B2B Content.

Embracing AI Literacy in the Workplace: Insights from John Munsell

In this episode of Detection at Scale, Jack speaks with Jacob DePriest, VP of Security/CISO at 1Password, who shares insights from his 15-year journey from the NSA to leading security at GitHub through his current role. Jacob discusses his framework for assessing security programs with fresh eyes, emphasizing business objectives first, then addressing risks, and finally implementing the right security measures.  He also explores how generative AI can enhance security operations while maintaining that human expertise remains essential for understanding threat intent. As 1Password transforms from a password manager to a multi-product security platform, Jacob outlines his approach to scaling security through engineering partnerships and automation, while offering practical leadership advice on building relationships, maintaining work-life balance, and aligning security initiatives with business goals. Topics discussed: Transitioning from engineering to security leadership and how that technical background provides empathy when implementing security controls. Approaching security program assessment by first understanding business objectives, then identifying risks, and finally implementing appropriate measures. Exploring 1Password's evolution from a password management product to a multi-product security company with extended access management. Balancing generative AI's capabilities with human expertise in security operations, recognizing AI's limitations in understanding intent. Leveraging AI to enhance incident response through automated summaries and context gathering to speed up triage processes. Implementing AI applications in GRC functions like vendor reviews and third-party questionnaires to increase efficiency and reduce tedium. Building sustainable security operations by ensuring security tools have proper access to data through education and partnership. Addressing the varying security postures across the vendor landscape through a risk-based approach focusing on access and visibility. Scaling security teams by clearly connecting their work to business objectives and ensuring team members understand why their tasks matter. Three pillars of security leadership: building a trusted network, establishing sustainable work-life balance, and connecting security to business goals. Listen to more episodes:  Apple  Spotify  YouTube Website

In this engaging episode of the Events: Demystified Podcast, host Anca Platon Trifan dives deep into the world of AI with special guest Noah Riley, founder of AI Genius Automations. They explore how AI is transforming the way we work, think, and create, and provide practical advice for businesses and individuals looking to implement AI. Key topics discussed include the right mindset for adopting AI, practical applications of AI tools, and ensuring privacy and security in AI implementation. Discover how to leverage AI to streamline processes, improve efficiency, and reclaim valuable time. Stay tuned for real-world examples and expert insights, and don't miss the closing advice on staying curious and prioritizing effectively.00:00 Introduction to AI and the Podcast02:11 Meet Noah Riley: AI Visionary03:48 A Humorous Encounter: How We Met07:56 The Chess and Jiu Jitsu Analogy12:11 Noah's Journey: From Graphic Design to AI17:18 The Neuroscience of Design and Events18:49 AI Implementation Challenges and Mindset25:00 Privacy, Security, and AI Risks42:07 Practical AI Strategies for Businesses44:04 Exploring AI Solutions for Businesses44:28 Taking Risks with New Technology44:54 Implementing AI in Your Company46:00 Diving Deep into GPT Capabilities49:16 Practical AI Examples for Business Owners51:49 Custom GPTs and Their Benefits01:01:55 Automation Tools: Zapier vs. Make01:13:38 Balancing Multiple Interests and Priorities01:20:17 Final Thoughts and Advice on AI ImplementationGUEST BIONoah Riley is the founder and visionary leader of AI Genius Automations. His passion for AI goes beyond his profession, he views it as a transformative technology with the potential to create time and improve people's lives. This belief drives his dedication and passion to understanding AI and making its benefits accessible to individuals and businesses alike. Noah's enthusiasm for AI is contagious, and his ability to explain complex concepts in an approachable manner makes AI understandable, accessible, and appealing to diverse audiences. His unique blend of expertise and charisma makes learning about AI both informative and enjoyable. Under Noah's leadership, AI Genius Automations is at the forefront of AI innovation and application, providing cutting-edge solutions that help clients harness the power of AI to achieve their goals.Connect with our Guest at the links below:Noah Riley's LinkedIn https://www.linkedin.com/in/noahrileyaigeniusautomations/ Company Website https://aigeniusautomations.com/Company LinkedIn https://www.linkedin.com/company/aigeniusautomations/YouTube: www.youtube.com/@StaceyHankeTwitter: https://twitter.com/staceyhankeincInstagram: www.instagram.com/staceyhankeincConnect with your Podcast Host at the links below:Speaker website: https://ancaplatontrifan.me/LinkedIn: ⁠https://www.linkedin.com/in/ancatrifan/⁠Instagram: ⁠https://www.instagram.com/anca.platon.trifanInstagram: https://www.instagram.com/fit.mindful.maven/Instagram: https://www.instagram.com/eventsdemystifiedpodcast/

Kevin Werbach speaks with Medha Bankhwal and Michael Chui from QuantumBlack, the AI division of the global consulting firm McKinsey. They discuss how McKinsey's AI work has evolved from strategy consulting to hands-on implementation, with AI trust now embedded throughout their client engagements. Chui highlights what makes the current AI moment transformative, while Bankwhal shares insights from McKinsey's recent AI survey of over 760 organizations across 38 countries. As they explain, trust remains a major barrier to AI adoption, although there are geographic differences in AI governance maturity.  Medha Bankhwal, a graduate of Wharton's MBA program, is an Associate Partner, as well as Co-founder of McKinsey's AI Trust / Responsible AI practice. Prior to McKinsey, Medha was at Google and subsequently co-founded a digital learning not-for-profit startup. She co-leads forums for AI safety discussions for policy + tech practitioners, titled “Trustworthy AI Futures” as well as a community of ex-Googlers dedicated to the topic of AI Safety.  Michael Chui is a senior fellow at QuantumBlack, AI by McKinsey. He leads research on the impact of disruptive technologies and innovation on business, the economy, and society. Michael has led McKinsey research in such areas as artificial intelligence, robotics and automation, the future of work, data & analytics, collaboration technologies, the Internet of Things, and biological technologies. Episode Transcript The State of AI: How Organizations are Rewiring to Capture Value (March 12, 2025)  Superagency in the workplace: Empowering people to unlock AI's full potential (January 28, 2025) Building AI Trust: The Key Role of Explainability (November 26, 2024) McKinsey Responsible AI Principles

From planning to pitfalls—how do you actually get started with AI agents?Listen to for a real-world take on adoption, risks, and navigating early implementation challenges.Speakers:Marc Teipel, Azure App Innovation & AI Specialist – Enterprise at MicrosoftPat Szubryt, AI Policy Lead at Center for AI and Digital PolicyEgor Kraev, Former Head of AI at WiseHost: Justyna Kałębasiak, Delivery Lead at Netguru

In this episode of Detection at Scale, Matthew Martin, Founder of Two Candlesticks, shares practical approaches for implementing AI in security operations, particularly for smaller companies and those in emerging markets. Matthew explains how AI chatbots can save analysts up to 45 minutes per incident by automating initial information gathering and ticket creation. Matthew's conversation with Jack explores critical implementation challenges, from organizational politics to data quality issues, and the importance of making AI decisions auditable and explainable.  Matthew emphasizes the essential balance between AI capabilities and human intuition, noting that although AI excels at analyzing data, it lacks understanding of intent. He concludes with valuable advice for security leaders on business alignment, embracing new technologies, and maintaining human connection to prevent burnout. Topics discussed: Implementing AI chatbots in security operations can save analysts approximately 45 minutes per incident through automated information gathering and ticket creation. Political challenges within organizations, particularly around AI ownership and budget allocation, often exceed technical challenges in implementation. Data quality and understanding are foundational requirements before implementing AI in security operations to ensure effective and reliable results. The balance between human intuition and AI capabilities is crucial, as AI excels at data analysis but lacks understanding of intent behind actions. Security teams should prioritize making AI decisions auditable and explainable to ensure transparency and accountability in automated processes. Generative AI lowers barriers for both attackers and defenders, requiring security teams to understand AI capabilities and limitations. In-house data processing and modeling are preferable for sensitive customer data, with clear governance frameworks for privacy and security. Future security operations will likely automate many Tier 1 and Tier 2 functions, allowing analysts to focus on more complex issues. Security leaders must understand their business thoroughly to build controls that align with how the company generates revenue. Technology alone cannot solve burnout issues; leaders must understand their people at a human level to create sustainable efficiency improvements.  

I'm Josh Kopel, a Michelin-awarded restaurateur and the creator of the Restaurant Scaling System. I've spent decades in the industry, building, scaling, and coaching restaurants to become more profitable and sustainable. On this show, I cut through the noise to give you real, actionable strategies that help independent restaurant owners run smarter, more successful businesses.In this episode, I break down how AI can be a game-changer for restaurant owners, not by replacing people, but by freeing them up to focus on what actually matters. We're talking automation, streamlined marketing, and strategic delegation—because the secret to scaling isn't working harder, it's working smarter. I'll walk you through how AI and well-crafted SOPs can help you reclaim your time, reduce the daily chaos, and set your restaurant up for long-term success. And here's the kicker—you don't have to overhaul everything overnight. Start small, build momentum, and watch how AI helps take your business to the next level.Takeaways:Money is the primary problem for restaurant owners.AI can help delegate tasks effectively.Overwhelm often comes from mismanaged tasks.Automated task audits can identify inefficiencies.AI can create structured SOPs from recorded tasks.Marketing consistency is key for restaurant success.AI can generate comprehensive marketing calendars.Engagement can increase with AI-driven marketing.Start with small AI implementations for better results.AI is a tool to amplify leadership in restaurants.Chapters00:00 Introduction to Restaurant Profitability02:06 Leveraging AI for Restaurant Efficiency05:49 Streamlining Marketing with AI10:03 Implementing AI in Manageable StepsIf you've got a marketing or profitability related question for me, email me directly at josh@joshkopel.com and include Office Hours in the subject line. If you'd like to scale the profitability of your restaurant in only 5 days, sign up for our FREE 5 Day Restaurant Profitability Challenge by visiting https://joshkopel.com.

Vin Vashishta and I chat about the current state of AI in business, the challenges of implementation, the pervasive hype surrounding AI technologies, influencers, and more.

In this episode of the Tech for Business podcast, Todd, the COO and CISO, along with Ann, a Quality Assurance Analyst, discuss the complexities and compliance challenges businesses face with AI. They elaborate on the evolution of AI, regulatory frameworks, privacy concerns, and the ethical implications of using AI. They also provide insights on how companies can prepare for emerging regulations and share practical steps for implementing AI responsibly. As AI adoption accelerates, understanding these factors becomes crucial for staying compliant and maintaining ethical standards in business operations.Resources: https://www.scrut.io/post/eu-artificial-intelligence-ai-act https://www.scrut.io/post/ai-compliance 00:00 Introduction to Compliance Challenges in AI00:57 The Evolution and Waves of AI02:35 Privacy and Security Concerns05:34 Historical Context and Ethical Considerations09:48 AI in Banking and Healthcare21:01 Implementing AI in Compliance23:12 Preparing for Future Regulations29:52 Final Thoughts and Future Discussions

Send us a textIn this episode of The MLO Project, Frazier and Michael dig into one of the biggest shifts in the mortgage industry right now: AI integration. From AI agents to automated consumer engagement, they break down how this tech is already changing the way leads are generated and converted.But here's the catch—automation can't replace connection. The hosts explore how to keep the human touch while using AI to scale smarter, not just faster.They also look ahead at where AI is taking mortgage services and why adapting early will give you the edge. Plus, a reminder that no one has to do it alone—this episode is a call to build a collaborative community that learns, shares, and grows together.Hit play and find out how to stay relevant, stand out, and use AI without losing the personal edge that actually closes deals.TakeawaysAI is becoming a significant part of the mortgage industry.Understanding how to use AI tools is crucial for loan officers.AI agents can enhance lead generation and consumer engagement.Maintaining a human touch is essential in AI interactions.The technology is not perfect; it requires strategic implementation.Loan officers must adapt to stay competitive in the evolving market.Continuous learning and adaptation are necessary to leverage AI effectively.Chapters00:00 Welcome to the MLO Project02:10 The Rise of AI in the Mortgage Industry04:18 Understanding AI Agents08:04 Implementing AI in Lead Generation11:31 The Role of AI in Consumer Engagement15:43 Navigating AI Limitations18:50 The Future of AI in Mortgage Services22:18 Building a Collaborative CommunityJoin our HighLevel Facebook GroupTMP is presented by: Empower LOConnect with us at mloproject@empowerlo.com

Meet Sarah Noel Block, your Marketing Strategist friend. Sarah has rocked the content world for 16 years. She's supported big shots like apartments.com and Prudential, but her heart lies with small teams. As the creator of the StrategicSpark Workshop, the StrategicStory, and Tiny Marketing Framework, she's a master at helping tiny teams achieve big results. With an award-winning content platform under her belt and featured in Entrepreneur, Forbes, and Thrive, Sarah knows her stuff. Catch her speaking at conferences and dazzling audiences with her wisdom. She's like that favorite teacher who makes learning fun and impactful. Let Sarah guide your marketing journey and unlock the secrets to success.00:00 - 00:27 "The basis of the framework is streamline, systematize, automate, and outsource. So what we're talking about today is the streamline part of it, which is the lean marketing engine. So we'll get into that later, but systematize is, can you build templates around this? Can you create automations around this? Can you use AI for pieces of it? What can we use as an anchor that we can repurpose?” — Sarah Noel Block00:28 - 00:46 Welcome to Peppershock Media's Marketing Expedition Podcast00:47 - 01:34 Sarah's Background01:35 - 08:10 Marketing Essentials Moment: Developing Effective Creative Ads08:11 - 10:57 Welcome to the show, Sarah!10:58 - 12:18 The Lean Marketing System12:19 - 18:52 Implementing AI in Marketing18:53 - 22:31 Success Stories from the Lean Marketing Engine22:32 - 25:09 Understanding Gateway Offers25:10 - 28:16 The Importance of Client Fit28:17 - 29:16 Hello Audio is the best format for creating a connection between you and your audience and allows them to access your zone of genius at the click of a button.29:17 - 31:49 Building Trust with Clients31:50 - 33:12 Setting Expectations for Marketing33:13 - 38:53 The Role of Collaboration in Marketing38:54 - 39:33 Listen to the Tiny Marketing Podcast and Reach out to Sarah (https://www.sarahnoelblock.com/)39:34 - 40:58 Thank you so much, Sarah! Share this podcast, give us a review, and enjoy your marketing journey!40:59 - 41:45 Join the Marketing Expedition Community today! Like what you hear, but need more information?Meet with Rhea Allen#TinyMarketing #TinyMarketingPodcast #LeanMarketingSystem #AI #AIMarketingTools #MarketingEssentialsMoment #CreativeAds #GatewayOffers #BuildingTrust #Collaboration #FreshMarketingStrategy #MarketingTips Hosted on Acast. See acast.com/privacy for more information.

Highlights from this week's conversation include:Solomon's Background and Journey in Data (0:38)The Importance of a Triple Threat Data Person (5:14)Sports Sponsorship Analysis at Nielsen (7:31)Challenges of Implementing AI in Business (11:09)Understanding Data Delivery Models (14:18)Innovating Data Delivery (17:38)Modern Data Sharing Framework (19:09)Account Management in Data Sharing (23:43)Data Delivery Systems and Skill Sets (26:08)Practical Steps for Monetizing Data (29:02)Building Trust Through Branding (36:51)LinkedIn Personal Branding Tips (40:54)Mastering the Basics (44:16)Professional Development in Data (48:18)Deep Technical Skills (53:18)Active and Outcome-Focused Approach (55:25)Finding Top Data People and Parting Thoughts (56:44)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Learn AI in 5 Minutes Per Day: https://www.theaireport.ai/In this episode of The AI Report,Liam Lawson sits down with Bjion Henry, CEO of Navreo.ai, to explore the AI's impact in sales and lead generation in today's world. Discover how Navreo.ai transitioned from a general AI automation agency to a niche-focused leader in AI-driven sales strategies. Bijon also shares insights into automating outbound sales, the importance of personal branding, and the future of AI in business.​Topics Covered:The evolution of Navreo.ai's business model​Implementing AI in sales processes​Strategies for effective personal branding on LinkedIn​Client success stories and ideal business profiles​Bijon's entrepreneurial journey and lessons learnedOver 400,000 OpenAI, Apple & NASA professionals read The AI Report. We'll teach you how to leverage AI to make money/save time in just 5 minutes.Join our free community now: https://www.skool.com/the-ai-report-community/aboutConnect with Bijon: https://www.linkedin.com/in/bjionhenry/(00:00) Preview(00:57) Using AI to Book Meetings Without Growing Headcount(05:32) Navreo.ai's Niche-Focused Lead Gen(07:26) Navreo.ai's Two-Pillar Strategy (Coaching & Infrastructure)(15:46) Bijon's LinkedIn Growth Strategy (8k to 31k followers)(17:27) How Bijon Generated 700+ Calls a Year from LinkedIn Content(23:58) How to Create Viral LinkedIn Lead Magnets(27:46) Building Targeted Lead Lists at Scale with AI(30:46) AI-Powered Lead Qualification & Decision-Making(33:51) Advanced AI Email Personalization Tactics(37:04) The Benefits of AI Automation(39:42) Who Should Use Navreo.ai?(45:01) The Future of AI in Sales(47:23) Navreo.ai's Origin Story(51:52) Bijon's Entrepreneurial Journey & Key Business Lessons(01:03:34) Bijon's Core Motivation: From Validation to Passion

On a Southwest flight to Phoenix a passenger took off their clothes and screamed at the top of their lungs and walked up and down the aisle. A Canadian Olympian is added to an FBI most wanted list after allegedly smuggling drugs. McDonalds is going to start to use AI to reduce wait times for customers. A man who was shot out of a cannonball hit concrete and sustained multiple injuries.See omnystudio.com/listener for privacy information.

There are many reasons to debate the ethics and implications of AI. But while we do that, hundreds of the world's biggest brands are rushing to implement the technology into creative and coding workflows. At a time when shareholders are being unforgiving and policy making is volatile, business leaders are looking to AI to gain any advantage possible.Jan Emmanuele is one of the experts that these Fortune 500 corporations rely on to identify and build GenAI creative workflow augmentations and automations. He works for Superside —whom you might remember from our episode with Philip Maggs (Listen here)— because they're on the leading edge of creating an LLM that interprets your briefing process, design system, brand guidelines, marketing campaigns, and data to automate high-volume creative tasks. In this episode, we focus on how and where AI is applied within organizations and workflows. It details how organizations can prepare themselves for implementing AI and how to address the core barriers and risks of the technology.Listen on Spotify | Listen on Apple PodcastsWhat was most interesting about this conversation was his prediction that the adoption of AI will explode in enterprise orgs starting in 2026 and that it could continue into the 2030s. He believes that the value of AI in enterprise has already been proven and that more use cases exist than anyone can believe. That adoption thus far has only been limited because of legal and procurement policies.If this is true, organizations that aren't already at least planning for this workflow-automated future will soon be at a huge competitive disadvantage. Finding 10x augmentations of creative output is routinely achieved, and more will be possible for organizations with highly-structured and easily-repeatable workflows. The gains will be largest in orgs that leverage the uniquely-LLM capability of contextualizing outputs based on data. Examples include localizing campaigns to micro-niche segments or regions of the world. Thanks for reading Design of AI: Strategies & insights for product teams! This post is public so feel free to share it.Headwinds will reduce the number of creatives earning a living wageAs we barrel towards the increasingly inevitable reliance on LLMs, it puts creatives in the uncomfortable position of fighting for their survival and protesting for what's ethically correct. The music industry is the canary in the coal mine in this battle. Many artists earn the majority of their income from their back catalogues and LLMS are effectively using those albums as mulch to improve generative capabilities. On one side, you have an entire way of life being threatened; on the other, you have artists that will quickly need to learn how to master generative capabilities to become an indispensable musician regardless of the headwinds that will reduce the amount of music earning a living wage. As platforms get better, we'll just generate the music and images we need instead of hiring professionals.Overcoming the uncanny valley: Not being able to determine what was generated by AIWhat has made all of us feel more comfortable has been that AI still sucks at a lot of creative tasks. Blooper reels and countless articles of AI creative generative fails give us hope that the technology isn't ready to replace anyone yet. But we've learned from our latest episode and many previous ones that the technology is much more ready for primetime than we might believe. Many of the failures we see today result from the false sense of confidence the platforms offer novices. While the simplicity of these tools has exploded the amount of experimentation happening, we're flooded with more fails than fantastic examples.Another factor is that the simplicity of the GenAI interfaces obscures the complexity happening in the background. We believe we can generate a campaign-ready 20-second video by typing in a prompt. But the complexity comes from knowing what models, protocols, data sets, and projects to connect for the best outcomes. This is an era dominated by creative technologists who can see these possibilities and stay up-to-date with the latest capabilities.In the hands of someone who understands how to overcome the rawness of the technology, the possibilities are limitless. And for every project we see published, there are at least another dozen working to push those capabilities further in the near future. Sesame is another example of technology overcoming the uncanny valley by delivering conversational voice capabilities indistinguishable from humans. These developments are happening at such a pace that it's impossible to keep up. For example, researchers have created an agentic, autonomous framework that iteratively structures and refines knowledge in situ.The point is that whether you agree with the hype of an AI-powered future or not, businesses everywhere will implement it because the impact is increasingly undeniable. Action items: What can we do to prepare ourselves and our workI hate that the ethics of AI seem like an afterthought to the beating drum of business automation. It's deeply uncomfortable that many professions and industries must adapt or face extinction. The only way to stare into this abyss and feel hopeful is to believe that the rising tide of resentment against big tech will fuel a renaissance of altruistic misfits building the models and layers that do less harm. But that won't calm the nerves of the musicians and artists who see an end to their way of life today.We can mourn the tidal wave of change while also preparing for the new world order that comes next.If you're a creative:* Stop undervaluing yourself and your work. Listen back to yourself explain the work you do. Recognize all the steps, decisions, and life lessons you neglect to mention. You need to document who you are to such a granular level that you spot where your genius is most pronounced and where you're on autopilot. Then consider how to leverage AI to amplify/automate each of those.* Tap into your most significant creative strengths. You are more than your outputs. You fell into this career for a reason and persist because of at least one exceptional creative strength. Document it and the conditions under which it enhances your work more than others. Now find AI tools that can make that happen more often and for longer periods. * Lead the change you want to see. Don't wait for inspiration and innovative products to land in your inbox. Go find them, test them, implement them, and prove if they can or can't help you achieve your goals.If you're a business leader: * Accept that change is coming fast. You can feel unsure about the technology, worried about the risks, and apprehensive about the costs. But you cannot wait to start imagining what the future of your business and industry might look like. Go through future casting exercises and monitor the countless startups slowly eating away at your competitive moat.* Empower your team to succeed. Even if people tell you they aren't worried about the coming change, they probably are. You need to lead them through this and create a shared vision of what the future version of your business and workforce can look like. Include teams in co-creation processes to determine the best ways to empower them to succeed by eliminating barriers and inefficiencies.* Structure your data and production workflows. AI is most effective in highly repetitive situations where success can be easily evaluated. Businesses will succeed that have standardized their key workflows and have structured data that adds critical context about situations and success. Do the work now before an expensive consultant charges you millions once there's a veritable gun to your head due to competitive concerns. Contact me if you need helpThank you for following the Design of AI podcast and this newsletter. This year, we'll spend more time discussing this seemingly insurmountable challenge of implementing AI effectively. Please comment if there are specific questions or topics you need us to discuss. And feel free to vent about topics that you're most frustrated or concerned about so we know what our community needs.We're also hoping to launch some events in major markets this year to bring together early adopters and experimenters with those eager to leverage this technology effectively.And if you need help with any consulting related work related to envisioning your AI-powered future, email me at arpy@ph1.ca Product of the month: RaycastRaycast is a perfect example of the disruptive potential of AI. While everyone else is running to add bullshitty AI features to make using their products easier, others are rewriting the way we interact with digital experiences. Raycast basically looked at MacOS and said, “Let's rebuild the entire finder and launcher experience.”It's ironic for me because one year ago, I worked on a project where the outcome was the real potential value of AI in a mobile phone experience would be as an assistive launcher experience that eliminates all the inefficiencies of Android. Well, here it is! Thanks for reading Design of AI: Strategies & insights for product teams! This post is public so feel free to share it. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit designofai.substack.com

During this episode, hosts Tom and Simon engage in a lively discussion about various historic and contemporary crime cases. They begin with personal banter and discuss Simon's return to Glasgow. The conversation shifts to historical crimes, including the St. Valentine's Day Massacre, detailing Al Capone's gang war, the genesis of forensic ballistics, and the societal aftermath such as the advent of RICO laws.They touch on the 1999 murder case of Jill Dando, delving into the initial conviction and subsequent acquittal of Barry George. This leads to discussing pressures faced by detectives in high-profile cases. The hosts further explore the notorious Salem Witch Trials, comparing the use of 'spectral evidence' then to present-day concerns about evidence integrity.Modern crime analysis through artificial intelligence is evaluated, highlighting its potential but also the ethical dilemmas it presents. The episode revisits the notorious Great Train Robbery of 1963, emphasizing the botched post-crime execution by the robbers and the relentless pursuit by police detective Jack Slipper.Attention is given to the tragic case of police officers Nicola Hughes and Fiona Bone, murdered by Dale Cregan. The subsequent discussion transitions from historical cases to future policing advancements and concludes with reflections on the variable nature of policing work and the dangers faced by officers.Throughout, the hosts blend personal anecdotes with professional insights, discussing everything from historical crime impacts to modern policing technologies and reflections on justice and societal protection.00:00 Welcome and Banter01:02 Upcoming Gigs and Personal Stories02:42 Book Launch Preparations03:37 St. Valentine's Day Massacre14:58 Jill Dando Murder Case21:58 Salem Witch Trials30:35 Unyielding Courage in History30:57 Spectral Evidence and Its Implications31:19 Artificial Intelligence in Crime Prediction31:46 Challenges in Implementing AI in Law Enforcement32:27 The Importance of Accurate Data Input36:10 Bias in Judicial Sentencing39:55 The Great Train Robbery: A Detailed Analysis52:20 Dale Cregan: A Case of Tragic Violence56:46 Concluding Thoughts and Reflections Hosted on Acast. See acast.com/privacy for more information.

Welcome to "Advancement Amplified: AI for IA," a 5-part Pulse Check hosted by Dan Giroux, a higher education marketing and communications leader focused on elevating the strategic impact of Advancement. Advancement is at a pivotal moment. As institutions navigate shifting donor expectations, alumni engagement challenges, financial pressures, and the demand for greater efficiency, AI is emerging as a transformative force.In today's Part 1, Dan Giroux sits down with Matthew Lambert, Senior Vice President for University Advancement at William & Mary, and Dan Frezza, Chief Advancement Officer at the College of Charleston. Together, they explore how artificial intelligence is reshaping the future of institutional advancement, from donor engagement to marketing and career services. With rapid technological shifts, both institutions are leveraging AI-powered tools, including autonomous virtual engagement officers (VEOs), to enhance outreach and optimize fundraising efforts.Related Links:Inside Higher Ed interview with Wren and Wren's websiteAGB magazine article around AIKey TakeawaysAI is not a replacement, but an enhancement. AI tools in advancement free up professionals to focus on high-value tasks while automating routine processes like contact reports and donor outreach.Virtual Engagement Officers (VEOs) are changing the game. AI-driven fundraisers at William & Mary and the College of Charleston are already fostering one-on-one donor relationships, leading to increased engagement and donations.AI adoption requires a culture of innovation. Institutions that embrace risk-taking and long-term thinking are better positioned to leverage AI effectively.Personalization is key. AI tools can customize communication, ensuring alumni and donors receive relevant, engaging content that strengthens their connection to their alma mater.Transparency builds trust. Clearly identifying AI-powered agents in donor interactions helps maintain credibility and donor confidence.Advancement leaders should experiment and iterate. Small-scale testing of AI tools allows teams to refine their approach while minimizing risks.Episode SummaryHow is AI Being Used in Institutional Advancement?AI is playing an increasingly critical role in institutional advancement, helping teams engage donors, streamline operations, and personalize communications. Both William & Mary and the College of Charleston are leveraging AI-driven solutions like virtual engagement officers (VEOs) to handle donor outreach, allowing human fundraisers to focus on high-value relationships. AI is also being integrated into marketing, career services, and student engagement to drive deeper connections across the university ecosystem.What Are Virtual Engagement Officers (VEOs) and How Do They Work?VEOs are AI-powered autonomous fundraisers that manage donor portfolios, initiate personalized conversations, and guide alumni through the giving process. At William & Mary, the VEO named "Wren" is engaging alumni by sharing curated content, answering inquiries, and even suggesting philanthropic opportunities based on donor interests. Similarly, the College of Charleston's VEO, “Alex,” is successfully fostering engagement by tailoring interactions, including crafting poetry for an alum who tested its capabilities.How Do Institutions Ensure AI Enhances, Rather Than Replaces, Human Connection?A key priority for both institutions is maintaining authenticity and transparency in AI-driven interactions. AI fundraisers introduce themselves as virtual engagement officers, rather than impersonating human staff members. Additionally, AI serves as a bridge to real fundraisers, helping schedule meetings or flagging high-potential donors for personal outreach. By handling lower-priority tasks, AI allows advancement professionals to deepen relationships with major donors and alumni in meaningful ways.What Challenges Exist in AI Adoption for Advancement?Implementing AI in institutional advancement comes with hurdles, including skepticism from staff, concerns over data security, and the need for institutional buy-in. Some advancement professionals worry about AI's impact on job security, while others fear losing the human touch in donor relationships. However, leaders like Lambert and Frezza emphasize that AI is not replacing human fundraisers, but rather empowering them to be more efficient and effective.What's Next for AI in Advancement?Both William & Mary and the College of Charleston plan to expand their use of AI beyond fundraising. Future applications may include using AI for student engagement, career advising, and even enrollment marketing. As AI technology continues to evolve, its role in advancement will likely grow, offering new ways to personalize outreach, improve donor experiences, and drive institutional success.AI is no longer a futuristic concept—it's happening now, and institutions that embrace it strategically will have a competitive edge in advancement and fundraising.Guest Names: Matthew Lambert, Senior Vice President of University Advancement, William & Mary; CEO, William & Mary FoundationDan Frezza, Chief Advancement Officer of Institutional Advancement, College of Charleston; CEO, College of Charleston FoundationGuest Socials: Matthew - https://www.linkedin.com/in/matthewtlambert/Dan - https://www.linkedin.com/in/dan-frezza-56203262/Guest Bios: Matthew T. Lambert - Matthew Lambert leads University Advancement at William & Mary, overseeing all alumni engagement, private fundraising and philanthropic outreach, university marketing and communications, and career development & professional engagement efforts. Under his leadership, William & Mary successfully completed its record-breaking $1 billion For the Bold campaign, strengthening the university's culture and philanthropy. As CEO of the William & Mary Foundation, he stewards more than $1 billion in endowments, ensuring long-term financial support for the university. A William & Mary alumnus, Matthew holds degrees from The Ohio State University (M.A.) and the University of Pennsylvania (Ed.D.). Before returning to W&M in 2013, he held leadership roles in Advancement at Georgetown University. In addition to his work in philanthropy, he is an active scholar in public policy and higher education, authoring Privatization and the Public Good (Harvard Education Press) and co-editing Advancing Higher Education (Rowman & Littlefield). Follow Matthew Lambert on LinkedIn. Dan Frezza - Dan Frezza serves as the Chief Advancement Officer at the College of Charleston, leading the university's development, alumni relations, stewardship, and advancement services. In this role, he is responsible for fostering a strong culture of engagement and philanthropy across the institution. As CEO of the College of Charleston Foundation, he oversees institutional fund management and works to grow the university's endowment. Before joining the College of Charleston in 2023, Dan spent over a decade at William & Mary, where he played a key leadership role in the university's $1 billion For the Bold campaign alongside Matthew Lambert—driving alumni engagement and participation efforts. Prior to that, he led advancement programs at Appalachian State University and East Carolina University. Dan holds a Master's in Higher Education Administration from North Carolina State University and a Bachelor's in Communication with a minor in Business from Western Carolina University. Follow Dan on LinkedIn.  - - - -Connect With Our Co-Hosts:Mallory Willsea https://www.linkedin.com/in/mallorywillsea/https://twitter.com/mallorywillseaSeth Odell https://www.linkedin.com/in/sethodell/https://twitter.com/sethodellAbout The Enrollify Podcast Network:The Higher Ed Pulse is a part of the Enrollify Podcast Network. If you like this podcast, chances are you'll like other Enrollify shows too!Enrollify is made possible by Element451 — the next-generation AI student engagement platform helping institutions create meaningful and personalized interactions with students. Learn more at element451.com.Attend the 2025 Engage Summit! The Engage Summit is the premier conference for forward-thinking leaders and practitioners dedicated to exploring the transformative power of AI in education. Explore the strategies and tools to step into the next generation of student engagement, supercharged by AI. You'll leave ready to deliver the most personalized digital engagement experience every step of the way.Register now to secure your spot in Charlotte, NC, on June 24-25, 2025! Early bird registration ends February 1st -- https://engage.element451.com/register

Rescue Spot founder Nicole Patrick returns to Petworking to share exciting updates about her pet adoption platform. In this in-depth conversation, Nicole reveals how Rescue Spot is transforming the animal welfare landscape by: Launching a major platform upgrade that will integrate data from thousands of shelters Creating the first dedicated fostering website in the industry Implementing AI to provide personalized pet care recommendations Maintaining a free service for shelters while monetizing through strategic partnershipsWe explore how Rescue Spot's universal application system is solving the "clogged pipeline" between pets and adopters, why there's no actual shortage of adoptable pets despite common misconceptions, and how the platform's marketplace model benefits all parties. If you're interested in pet adoption, animal welfare technology, or innovative business models in the pet industry, this episode offers valuable insights into how Rescue Spot is becoming the "eBay of pet adoption."

Higher ed is exhausted—literally. A new report from The Chronicle of Higher Education confirms what many faculty and staff already feel: heavier workloads, fewer resources, and increasing pressure are pushing employees to the brink. But is there a way out? In this episode, Mallory and Seth explore how AI can be a powerful tool in reducing burnout, streamlining workloads, and helping institutions retain their best talent. Plus, they share real-world AI solutions, from automating admin tasks to freeing up time for strategic, high-impact work.Chronicle Articles:Higher Ed Is ExhaustedWhat It's Like to Work in Higher EdKey Takeaways: Burnout is at crisis levels. The Chronicle report shows that 65% of faculty and staff are working more than they were five years ago, often due to layoffs and staffing shortages.It's not just about workload—it's about control. Many higher ed professionals feel overworked, undervalued, and left out of key decision-making processes, leading to higher turnover.AI isn't a magic fix, but it helps. Implementing AI tools can automate repetitive tasks, improve efficiency, and allow employees to focus on more meaningful work.Small AI wins add up. Simple tools like voice-to-text software, AI-powered research assistants, and automated meeting recaps can significantly reduce stress and save time.Leadership must embrace AI for change to happen. Many higher ed leaders aren't using AI themselves, which makes it harder for institutions to adopt these tools at scale.The future of higher ed depends on retaining great talent. If burnout continues unchecked, institutions risk losing experienced professionals, which could impact student outcomes and institutional success.Calls to ActionRegister for the AI Engage Summit to learn practical ways AI can transform your institution. Enrollify.org/engageExperiment with AI tools. Try NotebookLM, ChatGPT, Whisper, or Loom to streamline your daily tasks.Advocate for AI at your institution. Share AI success stories with leadership and push for tools that can lighten workloads.Read the full Chronicle report on burnout in higher ed (linked in the show notes).Subscribe to Enrollify for more episodes on the future of higher ed marketing and enrollment. - - - -Connect With Our Co-Hosts:Mallory Willsea https://www.linkedin.com/in/mallorywillsea/https://twitter.com/mallorywillseaSeth Odell https://www.linkedin.com/in/sethodell/https://twitter.com/sethodellAbout The Enrollify Podcast Network:The Higher Ed Pulse is a part of the Enrollify Podcast Network. If you like this podcast, chances are you'll like other Enrollify shows too!Enrollify is made possible by Element451 — the next-generation AI student engagement platform helping institutions create meaningful and personalized interactions with students. Learn more at element451.com.Attend the 2025 Engage Summit! The Engage Summit is the premier conference for forward-thinking leaders and practitioners dedicated to exploring the transformative power of AI in education. Explore the strategies and tools to step into the next generation of student engagement, supercharged by AI. You'll leave ready to deliver the most personalized digital engagement experience every step of the way.Register now to secure your spot in Charlotte, NC, on June 24-25, 2025! Early bird registration ends February 1st -- https://engage.element451.com/register

Unveiling the Complexities: The Dark Side of AI and Its Real-World Implications In this episode, explore the intricate discussions surrounding AI with experts Marcel Gagné, John Pinard, and Jim Love. Dive into contemporary understandings of AI, its potential threats, and its application in both personal and professional realms. The panel discusses the 'dark side' of AI not to instill fear, but to devise strategies for managing its risks. Topics include AI misconceptions, the potential for AI to misbehave, operational security in AI implementation, and philosophical debates on AI consciousness. The episode emphasizes the importance of critical thinking, debate, and responsible use as AI technologies become increasingly integrated into society. Join the conversation and share your thoughts on AI's evolving landscape. 00:00 Introduction to Project Synapse 00:46 Exploring the Dark Side of AI 01:05 Invitation to Join the Discussion 02:01 Three Key Areas of AI Concerns 02:38 Speculative Risks and Science Fiction Scenarios 03:29 Implementing AI in Corporate Settings 04:37 AI Misbehavior and Security Concerns 07:09 Consciousness and AI 20:04 AI as Hyper-Intelligent Children 29:18 Security and Data Privacy in AI 31:36 Human Weakness in Security 31:50 Social Engineering Tactics 32:37 Security Misconceptions in Engineering 33:11 AI Data Storage and Security 34:45 AI Data Retrieval Concerns 39:05 Testing Security in Development 40:35 Regulatory Challenges with AI 43:26 Bias and Decision Making in AI 46:47 The Importance of Critical Thinking 50:09 The Role of Social Interaction in Business 54:35 AI as a Consultant 01:01:50 The Future of AI and Responsibility 01:04:24 Conclusion and Contact Information

Unveiling the Complexities: The Dark Side of AI and Its Real-World Implications In this episode, explore the intricate discussions surrounding AI with experts Marcel Gagné, John Pinard, and Jim Love. Dive into contemporary understandings of AI, its potential threats, and its application in both personal and professional realms. The panel discusses the 'dark side' of AI not to instill fear, but to devise strategies for managing its risks. Topics include AI misconceptions, the potential for AI to misbehave, operational security in AI implementation, and philosophical debates on AI consciousness. The episode emphasizes the importance of critical thinking, debate, and responsible use as AI technologies become increasingly integrated into society. Join the conversation and share your thoughts on AI's evolving landscape. 00:00 Introduction to Project Synapse 00:46 Exploring the Dark Side of AI 01:05 Invitation to Join the Discussion 02:01 Three Key Areas of AI Concerns 02:38 Speculative Risks and Science Fiction Scenarios 03:29 Implementing AI in Corporate Settings 04:37 AI Misbehavior and Security Concerns 07:09 Consciousness and AI 20:04 AI as Hyper-Intelligent Children 29:18 Security and Data Privacy in AI 31:36 Human Weakness in Security 31:50 Social Engineering Tactics 32:37 Security Misconceptions in Engineering 33:11 AI Data Storage and Security 34:45 AI Data Retrieval Concerns 39:05 Testing Security in Development 40:35 Regulatory Challenges with AI 43:26 Bias and Decision Making in AI 46:47 The Importance of Critical Thinking 50:09 The Role of Social Interaction in Business 54:35 AI as a Consultant 01:01:50 The Future of AI and Responsibility 01:04:24 Conclusion and Contact Information

Artificial intelligence is moving at breakneck speed, and mental health professionals are scrambling to keep up. In this episode of Psyched to Practice, Paul and Ray welcome Dr. Dan Florell—professor, psychologist, and AI expert—to break down how AI is reshaping clinical work, research, and education. Is AI a game-changing tool or a legal and ethical minefield? We cover the risks, rewards, and practical ways you can start integrating AI into your practice today. Don't get left behind—tune in now to stay ahead of the curve.To hear more and stay up to date with Paul Wagner, MS, LPC and Ray Christner, Psy.D., NCSP, ABPP visit our website at: http://www.psychedtopractice.com Please follow the link below to access all of our hosting sites. https://www.buzzsprout.com/2007098/share “Be well, and stay psyched” #mentalhealth #podcast #psychology #psychedtopractice #counseling #socialwork #MentalHealthAwareness #ClinicalPractice #mentalhealth #podcast

In this conversation, Ryan Worobel shares his extensive experience in the technology sector, discussing the evolution from traditional monitoring to observability. He highlights the cultural and technical challenges organizations face during this transition, emphasizing the importance of collaboration and data management. Ryan also explores the role of AI in enhancing IT operations, advocating for a balance between automation and human expertise. He provides insights on implementing AI in organizations, the risks and opportunities associated with it, and the necessity of understanding company culture for successful adoption.Key TakeawaysObservability requires a cultural shift towards collaboration.Data management is crucial to avoid overwhelming teams.AI is transforming IT from reactive to proactive approaches.Organizations must start small when implementing AI.Understanding company culture is key to AI adoption.Uptime is essential; downtime is no longer acceptable.AI should supplement human expertise, not replace it.Effective data sorting can reduce noise in decision-making.Innovation is necessary to maintain a competitive edge.Organizations need to establish governance around AI usage.Chapters00:00 Introduction to Ryan Worobel and His Journey07:37 Proactive vs Reactive Approaches in IT13:31 Implementing AI in Organizations19:31 Conclusion and How to Connect with Ryan

In this insightful episode, Albert Thompson, Managing Director, Digital Innovation at Walton Isaacson (https://www.waltonisaacson.com/), shares his forward-thinking take on where programmatic advertising is headed. He challenges the industry to rethink outdated processes, improve partnerships, and embrace smarter ways of working. Looking ahead to 2025, Albert highlights AI's potential to eliminate inefficiencies, spark creativity, and redefine how brands tell their stories and connect with audiences. Beyond technology, Albert dives into the importance of training—not just for newcomers, but for everyone. He emphasizes that staying curious and continuously learning is the key to staying relevant in a fast-changing, AI-driven world. He shares personal experiences and strategic insights on why companies should prioritize education at all levels to stay ahead of the curve. One of the most exciting parts of the discussion? Albert's take on "agentic AI"—a game-changing concept where AI-powered agents go beyond human capabilities to transform industries. He explores how this shift will impact everything from creative strategy to how brands measure and capture consumer attention. From the evolving role of AI in programmatic advertising to the future of consumer engagement, Albert offers a fresh and engaging perspective on what's next in the digital space. About Us: Our mission is to teach historically excluded people how to get started in programmatic media buying and find a dream job.  We do so by providing on-demand lessons via the Reach and Frequency® program (https://reachandfrequencycourse.thinkific.com ), a dope community with like-minded programmatic experts, and live free and paid group coaching.  We can help 2 ways:  Customized a training roadmap for teams of programmatic traders (https://www.heleneparker.com/workshop/ ), adops, customer success, AMs, etc focusing on campaigns performance increase, cross-departmental communication, and revenue growth overall 

In this episode of Casual Cattle Conversations, Shaye Koester-Wanner discusses the significance of crossbreeding in the beef industry with Dr. Bob Weaber. They explore how crossbreeding can enhance the efficiency and profitability of ranch operations, the importance of discipline in managing crossbreeding systems, and the value added by crossbred cows and calves. The conversation also delves into the economic implications of crossbreeding, the challenges faced by ranchers, and the various systems that can be implemented based on the size of the operation. The episode emphasizes the need for strategic planning and management in crossbreeding practices to maximize benefits. Chapters 00:00 Introduction to Crossbreeding in Beef Production 05:12 The Impact of Crossbreeding on the Beef Supply Chain 10:23 Economic Considerations and Profitability of Crossbreeding 19:22 Challenges and Mismanagement in Crossbreeding Systems 22:11 Value of Crossbred Cows and Calves 30:13 Popular Crossbreeding Systems for Different Ranch Sizes 42:02 Implementing AI and Technologies in Crossbreeding 44:53 Focus Areas for Successful Crossbreeding Management Additional Resources: Find Your Next Herd Sire: https://bit.ly/bullpen-ccc  Connect with Bob: bweaber@ksu.edu  https://ebeef.ucdavis.edu/  Bob's Slides: https://bit.ly/CCC-resources  Goal-setting System for Ranchers: https://www.casualcattleconversations.com/ranchermind-events/p/move-the-ranch-forward-2025   

Is your construction business running like a well-oiled machine? Learn about business function charts and how to streamline operations and maximize efficiency with the use of Ai!Time Stamps01:54 - Martin's 50th Reunion Story06:32 - Experimenting with AI Tools18:43 - AI's Impact on Jobs25:15 - Getting Started with AI25:59 - Automating Business Processes with AI31:18 - Creating Knowledge Bases with ChatGPT31:41 - Automating Email Responses35:53 - Leveraging AI for Task Delegation37:54 - Hiring & SOPs42:47 - Building Effective Function Charts50:30 - Maximizing Business Efficiency with Function Charts54:58 - Evaluating Employee Performance58:11 - Making Tough Decisions on Staffing01:00:04 - Eliminating Redundancies01:01:37 - Episode OutroSnippets from the Episode"AI is not going to eliminate jobs. It's not taking anybody's job, especially in construction for that matter. But, the person who's gonna take your job is the person who uses Ai." -Khalil"If you had a function chart, and you had bullet points for each function, you would be in the top 3 percent of all businesses in the world for organization." - Martin24 Things Construction Business Owners Need to Successfully Hire & Train an Executive AssistantResourcesCheck out OpenPhoneBuild a Business that Runs without you. Explore our GrowthKits Need Marketing Help? We Recommend BenaliNeed Help with podcast production? We recommend DemandcastMore from Martin Hollandtheprofitproblem.comannealbc.com   Email MartinMeet With MartinLinkedInFacebookInstagramMore from Khalilbenali.com Email KhalilMeet With KhalilLinkedInFacebookInstagramMore from The Cashflow ContractorSubscribe to our YouTube channelFollow On Social: LinkedIn, Facebook, Instagram, X(formerly Twitter)Visit our websiteEmail The Cashflow Contractor

Enhancing Pediatric Practices with Technology: Security, Efficiency, and AI IntegrationThis episode is sponsored by our friends at Freed.ai. Without their generous contribution, the show would not be possible. Dr. Rougu uses this product daily, and as he says, "It has changed my life. I don't work anymore."   Please visit their website and support our sponsors. In this episode, we meet with Dr. Igor Trogan, a physician executive leader, to discuss technology that enhances medical practice quality, maximizes profits, and prevents physician burnout. Dr. Trogan shares insights into using security systems like Ring to monitor office activities, integrating electronic door locks, and employing virtual medical assistants (VMAs) from the Philippines for cost-effective staffing. The conversation also covers the usage of AI medical scribes like Freed AI to reduce documentation burdens, improve workflow efficiency, and various technology solutions like voice-over IP for better communication and patient care.00:00 Introduction and Guest Welcome00:23 Importance of Technology in Medical Practices01:56 Security Systems in Medical Offices05:45 Managing Multiple Office Locations13:52 Vaccine Storage and Monitoring21:05 Text-Enabled Communication Systems29:37 AI Medical Scribes: A Game Changer30:36 The Benefits of Voice Over IP in Medical Practices34:16 Efficient Call Center Operations38:38 Leveraging Virtual Medical Assistants49:54 Implementing AI for Documentation01:02:51 Conclusion and Final ThoughtsSupport the show

This week Morgan DeBaun discusses the ever-evolving world of AI with artificial intelligence leader, advisor, and investor, Allie K. Miller. Morgan is on a mission to help listeners harness the power of AI in their everyday lives, and Allie is here to share her wealth of knowledge on working smarter, not harder, with cutting-edge tools. In this episode: 00:00 Introduction and Guest Welcome 00:21 The Evolution of AI Tools 00:53 Implementing AI in Daily Workflows 02:00 Allie K. Miller's AI Journey 06:32 Customizing AI for Personal Use 10:36 Advanced AI Usage and Tips 14:42 Stages of AI Adoption 19:52 The Power of Google Gemini 21:12 AI in Personal and Professional Life 22:57 Transitioning to an AI-First Culture 27:43 Challenges in AI Integration 28:45 Advice for AI Adoption 33:39 Exploring Unconventional AI Tools 38:40 Final Thoughts and Resources In the episode, Morgan and Allie share personal examples of how they each integrate AI into daily routines and business operations, discussing how tools like ChatGPT, Otter AI, and Google Gemini can increase productivity. Allie offers actionable insights on integrating AI into daily workflows to boost productivity and spark creativity. Morgan and Allie also discuss the evolution of AI adoption and how individuals and companies can transition to an AI-first culture. They consider the challenges of introducing AI tools within larger organizations and share strategies for leveraging AI as a competitive advantage. Allie highlights the value of experimenting with AI, forming communities for shared learning, and exploring multimodal AI tools that combine text, voice, and visuals. The conversation also touches on the future of AI in entrepreneurship, predicting a wave of AI-driven startups and the potential for one-person unicorn companies. Whether you're new to AI or interested in taking your AI use to the next level, this episode offers insights to help you work smarter and adapt to the ever-evolving AI landscape. Tune in to discover how you can leverage AI to transform your productivity and creativity in life and business! More from Allie: https://www.alliekmiller.com/ https://www.linkedin.com/in/alliekmiller/ https://www.instagram.com/alliekmiller/Join the Newsletter for More Exclusive Content: https://worksmartprogram.ac-page.com/thejourneypodcast Make sure you are following Morgan's journey on TikTok: https://www.tiktok.com/@morgandebaun?_ Visit Mormatcha.com to make a purchase. Follow us on Instagram: https://instagram.com/thejourneybymdb Produced by MicMoguls.

Are you skeptical about integrating AI into your toy business?In this episode of Making It In The Toy Industry, host Azhelle Wade, also known as The Toy Coach, shares her AI expertise from this year's People of Play Innovation Conference and ChiTAG -  Toy and Game Fair in Chicago, where she presented her talk on 'How AI is Making Toy Innovation and Pitching Easier Than Ever Before.' You'll see firsthand how AI can significantly 10x your toy development process with a custom GPT solution. Azhelle talked about identifying bottlenecks, researching AI tools, and planning, testing, and training your team to implement AI effectively. Take advantage of learning the five-step process to integrate AI seamlessly while preventing the pitfalls. Watch the full episode to understand how to employ AI from idea generation to creating compelling visuals and pitches that can streamline and potentially level up your toy business. Listen For These Important MomentsOverview of AI-Enhanced Workflows – [00:03:13]Integrating AI Without Overload – [00:06:53]Using AI to Refine Business Bottlenecks – [00:08:57]Custom GPT for Idea Refinement – [00:12:37]MakeItToyetic Custom GPT Demo – [00:13:52]Testing AI's Effectiveness – [00:16:20]Enhanced Workflow with Cast Magic – [00:21:21]Addressing AI Concerns and Limitations – [00:25:41]Generating Toy Ideas Using ChatGPT – [00:29:34]Implementing AI in Teams and Processes – [00:33:29]Send The Toy Coach Fan Mail!Support the showPopular Masterclass! How To Make & Sell Your Toy IdeasYour Low-Stress, Start-To-Finish Playful Product Launch In 5 Steps >> https://learn.thetoycoach.com/masterclass