Podcasts about team lead

A highly unusual winter storm swept across the United States on Jan. 24-25, plunging parts of the midwest into long stretches of below zero temperatures while dumping feet of snow from Kansas and Missouri all the way into the Northeast.Sleet and ice clogged up conditions from Texas to the Carolinas, and despite the extreme conditions, the precipitation was welcome as drought conditions have continued to spread across the middle of the country.To bring us up to speed on the winter storm and its impacts, we're joined by DTN's Team Lead for Ag Weather John Baranick. He'll walk us through winter conditions thus far for key farming regions across the U.S. and offer insight into the forecasting of the latest winter storm.Then he'll take us beat by beat through the impacts in different regions, from rain, sleet, and snowfall totals and the likely effect on drought conditions to temperature variations and how overwintering crops might be affected. We'll get an updated forecast for the half of winter that remains, and hear what wildcards John thinks might still be at play.Finally, we'll take a look at conditions in South America and get a clearer picture of how crops in Argentina and Brazil are shaping up as farmers move towards harvest time.

Democracy might be a brief historical blip. That's the unsettling thesis of a recent paper, which argues AI that can do all the work a human can do inevitably leads to the “gradual disempowerment” of humanity.For most of history, ordinary people had almost no control over their governments. Liberal democracy emerged only recently, and probably not coincidentally around the Industrial Revolution.Today's guest, David Duvenaud, used to lead the 'alignment evals' team at Anthropic, is a professor of computer science at the University of Toronto, and recently co-authored 'Gradual disempowerment.'Links to learn more, video, and full transcript: https://80k.info/ddHe argues democracy wasn't the result of moral enlightenment — it was competitive pressure. Nations that educated their citizens and gave them political power built better armies and more productive economies. But what happens when AI can do all the producing — and all the fighting?“The reason that states have been treating us so well in the West, at least for the last 200 or 300 years, is because they've needed us,” David explains. “Life can only get so bad when you're needed. That's the key thing that's going to change.”In David's telling, once AI can do everything humans can do but cheaper, citizens become a national liability rather than an asset. With no way to make an economic contribution, their only lever becomes activism — demanding a larger share of redistribution from AI production. Faced with millions of unemployed citizens turned full-time activists, democratic governments trying to retain some “legacy” human rights may find they're at a disadvantage compared to governments that strategically restrict civil liberties.But democracy is just one front. The paper argues humans will lose control through economic obsolescence, political marginalisation, and the effects on culture that's increasingly shaped by machine-to-machine communication — even if every AI does exactly what it's told.This episode was recorded on August 21, 2025.Chapters:Cold open (00:00:00)Who's David Duvenaud? (00:00:50)Alignment isn't enough: we still lose control (00:01:30)Smart AI advice can still lead to terrible outcomes (00:14:14)How gradual disempowerment would occur (00:19:02)Economic disempowerment: Humans become "meddlesome parasites" (00:22:05)Humans become a "criminally decadent" waste of energy (00:29:29)Is humans losing control actually bad, ethically? (00:40:36)Political disempowerment: Governments stop needing people (00:57:26)Can human culture survive in an AI-dominated world? (01:10:23)Will the future be determined by competitive forces? (01:26:51)Can we find a single good post-AGI equilibria for humans? (01:34:29)Do we know anything useful to do about this? (01:44:43)How important is this problem compared to other AGI issues? (01:56:03)Improving global coordination may be our best bet (02:04:56)The 'Gradual Disempowerment Index' (02:07:26)The government will fight to write AI constitutions (02:10:33)“The intelligence curse” and Workshop Labs (02:16:58)Mapping out disempowerment in a world of aligned AGIs (02:22:48)What do David's CompSci colleagues think of all this? (02:29:19)Video and audio editing: Dominic Armstrong, Milo McGuire, Luke Monsour, and Simon MonsourMusic: CORBITCamera operator: Jake MorrisCoordination, transcriptions, and web: Katy Moore

Yinz Are Good shares the *good* news going on out there and celebrates the good people who are making it happen: The people who are lifting others up, who are taking care of their neighbors, the people who are saying, “What can I do today to make our world a better place?”.A quick note from Tressa: This episode is dropping on January 26, 2026 amidst tumultuous times for many of us – and not just here in the United States. I know our listeners from around the world are going through difficult times as well. So I just wanted to take a minute…It's uplifting that you're listening in today - that you're tuning in to hear the GOOD that people are doing for one another. Because they sure are, even though it's not what's plastered on the news, on our TV screens, and on our social media feeds. These stories are just as real. Empathy, generosity, kindness, and love are just as real. Though that's a challenge in itself, isn't it? Navigating life knowing that these opposites exist side-by-side? But…the folks featured on this show, episode in and episode out, are our guides to the constant good, and can serve as our inspiration to recognize our own unique gifts that can be used to build community and to help those in need. It is my honor to be the bearer of all of this GOODness. Thank you for being here.Tressa has the joy of welcoming Tim Lydon back to the show - yinz will remember him from Episode 122. Tim is the Co-founder of Harmony Dog Rescue and the recently-named Team Lead for The Street Dog Coalition Pittsburgh. Harmony Dog Rescue provides safe homes for dogs whose owners are experiencing homelessness, mental health challenges, domestic violence or medical emergencies. And what makes them even more amazing is that their mission includes “loving both ends of the leash” - they aim to address the needs of the human, as well as the canine. The Street Dog Coalition is a national organization whose mission is to provide free veterinary care to pets of people experiencing homelessness. Harmony Dog Rescue: https://www.harmonydogrescue.org/The Street Dog Coalition: https://www.thestreetdogcoalition.org/pittsburgh-paWatch Tressa Tries…DICK'S House of Sport on YouTube here.This episode is brought to you by DICK'S Sporting Goods — your one-stop shop to get everyone moving. From cozy winter gear to fan favorites for all Pittsburgh families — every season starts at DICK'S.–⁠https://www.yinzaregood.com/⁠⁠⁠⁠FOLLOW US on social media:Instagram:⁠⁠ ⁠@yinzaregood⁠⁠⁠ Facebook:⁠⁠ ⁠@YinzAreGood⁠⁠⁠Have a story of generosity or kindness to share with us? Want a Kindness Crate dropped off at your business or school? Email us at ⁠yinzaregood@gmail.com.

Make sure to follow us on Facebook, Instagram, YouTube For more information: ww.collegedalechurch.com/And https://podcasts.apple.com/us/podcast/Collegedale-church/id1441597563?uo=4

Welcome to Paranormal Spectrum, where we illuminate the enigmatic corners of the supernatural world. I'm your host, Barnaby Jones, and today we have a very special guest joining us:Katie Paige is a researcher and investigator specializing in UFOs, anomalous phenomena, cryptids, and high strangeness, with a primary focus on the Rocky Mountain region. She joined the Mutual UFO Network (MUFON) in 2012 and has served in multiple investigative and leadership roles, including STAR Team Investigator, Special Assignment Team (SAT) member, Assistant State Director for Colorado, and Colorado MUFON State Director (2020–2023).Paige has also contributed to the preservation of MUFON's historical archives through her work with the MUFON Anomaly Research and Reporting System (MARRS), part of Project Aquarius. The archive originated in 2006 under then-MUFON International Director James Carrion and incorporates early MUFON and Center for UFO Studies (CUFOS) records, along with private collections donated by Walt Andrus and John Schuessler. Between 2014 and 2015, Clifford Clift and Debbie Ziegelmeyer organized and categorized the archive, and in 2016, Ken St. John developed the MARRS redaction system to support ethical access. In 2017, Paige was appointed MARRS Administrator and Team Lead. MARRS now operates as one of six active Project Aquarius research rooms under the direction of Robert Spearing and his team.Paige is the director of Rocky Mountain Ranch Research, which she founded to investigate the Colorado property historically known as Clearview Ranch in the APRO case files, a site recognized for long-term anomalous activity that predates the Skinwalker Ranch case by more than a decade. Her investigative work has been featured in documentaries and television programs, including Beyond Skinwalker Ranch, The UnXplained with William Shatner, UFO Witness, Beyond Belief with George Noory, On the Trail of UFOs: Night Visitors, UFOs Revisited, and Ron James's films Accidental Truth. She has also appeared on national radio programs and podcasts, including Coast to Coast AM with George Knapp and Chinwag with Paul Giamatti, and has presented at numerous conferences, including Contact in the Desert.Paige is the host of The Trifecta, Rocky Mountain Ranch Research's official podcast, and co-host of the UAP Studies Podcast. She is the author of Letters of Love & Light: Four Decades of UFO Encounters, Experiences & Sightings Shared with Ufologist R. Leo Sprinkle, Ph.D., and co-author of Snippy the Horse: UFOs, Mutilations, and the Cover-Up That Started It All — Colorado's 1967 Case That Sparked a Global Mystery. She is currently completing her third book, The Rocky Mountain Ranch: Crafts, Cattle, Cryptids, and Cover-Ups.She is also the owner of Photos to Video Tributes, a memorial and legacy video service, and holds a Bachelor of Science degree in Visual Communication. Through her writing, media appearances, and investigative work, Paige works to bridge the gap between experiencers, researchers, and the public, encouraging informed dialogue around phenomena that challenge conventional understanding.Public Contact InformationWebsites:www.katiepaige.nethttps://www.rockymountainranchresearch.orghttps://www.youtube.com/@RockyMountainRanchResearchPublic Email: rockymountainranchresearch@gmail.comClick that play button, and let's unravel the mysteries of the UNTOLD! Remember to like, share, and subscribe to our channel to stay updated on all the latest discoveries and adventures. See you there!Join Barnaby Jones on the Paranormal Spectrum every Thursday on the Untold Radio Network Live at 12pm Central – 10am Pacific and 1pm Eastern. Come and Join the live discussion next week. Please subscribe.We have twelve different Professional Podcasts on all the things you like. New favorite shows drop each day only on the UNTOLD RADIO NETWORK.To find out more about Barnaby Jones and his team, (Cryptids, Anomalies, and the Paranormal Society) visit their website www.WisconsinCAPS.comMake sure you share and Subscribe to the CAPS YouTube Channel as wellhttps://www.youtube.com/channel/UCs7ifB9Ur7x2C3VqTzVmjNQ

What inspires an RN to lead national infection prevention efforts? In this episode, Kelly Holmes welcomes 2026 APIC President Kathy Ward to share her journey from bedside support to infection prevention powerhouse. Hear how mentors shaped her career, what she envisions for the future of IPC, her advice for rising leaders, and her vision for APIC in 2026!   Hosted by: Kelly Holmes About our Guest: Kathy Ward, 2026 APIC President Kathy Ward has been an Infection Preventionist for more than 20 years. She is currently an Infection Preventionist, Team Lead, at Roper St. Francis Healthcare in Charleston, SC. As a member of APIC-Palmetto Chapter, she has served as President, President-Elect, Program Chair and Co-chair as well as member and Chair of Governmental Affairs. Currently, she is a member of the SC Healthcare Infections Disclosure Advisory Council and has served as Chair of the APIC Palmetto LASIC. Kathy has also served at the National level as Member/Chair of Nominating and Awards Committee, Board of Directors in addition to Member and Chair of Practice Guidance Committee.

Isaac Darko is a Realtor® and Team Lead of The Darko Real Estate Team at Copper Creek in Oklahoma City. With over 10 years of experience advising high-level investors, Isaac has facilitated more than $30M+ in real estate transactions, along with development projects ranging from $2M to $400M across multifamily, residential, and commercial sectors.Before real estate, Isaac spent six years with Bank of America in leadership and relationship management roles and previously served as a legal assistant to U.S. Senator Russ Feingold in Washington, D.C. He holds a background in finance and business management and is known for strategic deal structuring, development oversight, and investor-focused advisory.Isaac is a top-producing Realtor® and real estate investor committed—alongside his wife—to helping individuals and families build wealth through entrepreneurship.Hope you all enjoy... KEEP GOING!Follow Isaac:IG - Isaac Darko Jr | OKC Real Estate FB - Soldbydarko | FacebookFollow me:Youtube: ⁠Keep Going Podcast - YouTube⁠IG- https://www.instagram.com/zdsellsokc/FB- https://www.facebook.com/ZDsellsOKC/Website: ⁠https://keepgoingpodcast.carrd.co/⁠ ⁠Click here to be a guest on Keep Going Podcast⁠: ⁠https://form.jotform.com/252251121299149

Flu cases are expected to peak this week as Ireland enters the Christmas period amid already intense pressure on hospitals and emergency departments. The HSE is urging caution as influenza, RSV and COVID-19 circulate.Joining Ciara to discuss is GP, Dr Maire Finn and Dr Marc-Alain Widdowson, Team Lead for Communicable Diseases at the WHO.

In this episode of The Friendly Troll Podcast, the AI Policy Team at CIPIT, Josephine Kaaniru, Irene Makau, and Cynthia Nzuki,  join their Team Lead and host, Florence Ogonjo, to unpack the year's major activities and developments in Africa's AI policy landscape. They walk through key research outputs, events, and evolving trends in AI governance, while also sharing updates on the AI Policy Team's ongoing work at CIPIT. This episode of TFT covers;Research & Policy HighlightsOverview of CIPIT's research across events, reports, and Africa's AI landscapeEpisode Highlights Include:State of AI In Africa report 2025Watch sessions of the 2nd Conference on the State of AI in Africa 2025AI Governance Webinar Series:Ethical AI Starts with Data  Linking Curation, Workers' Rights and OutputsAI and Intellectual Property: Protecting African DatasetsThe Evolving AI Governance Landscape in Africa: A Multidisciplinary ApproachThe NOODL Solution- You can find more about the NOODL License and access it  via this linkJosephine's presentation at the Africa Law Tech FestivalTo interact with research work mentioned in the podcast and other AI research- AI Policy Team work on the website Don't forget to subscribe for more episodes!Music:Intro/Outro  – https://pixabay.com/music/id-102694/ 

In this episode of the Oracle University Podcast, hosts Lois Houston and Nikita Abraham dive into Oracle Fusion Cloud Applications and the new courses and certifications on offer. They are joined by Oracle Fusion Apps experts Patrick McBride and Bill Lawson who introduce the concept of Oracle Modern Best Practice (OMBP), explaining how it helps organizations maximize results by mapping Fusion Application features to daily business processes. They also discuss how the new courses educate learners on OMBP and its role in improving Fusion Cloud Apps implementations.   OMBP: https://www.oracle.com/applications/modern-best-practice/ Oracle University Learning Community: https://education.oracle.com/ou-community LinkedIn: https://www.linkedin.com/showcase/oracle-university/ X: https://x.com/Oracle_Edu   Special thanks to Arijit Ghosh, David Wright, Kris-Ann Nansen, Radhika Banka, and the OU Studio Team for helping us create this episode.   -----------------------------------------------------   Episode Transcript: 00:00 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we'll bring you foundational training on the most popular Oracle technologies. Let's get started! 00:25 Nikita: Hello and welcome to the Oracle University Podcast! I'm Nikita Abraham, Team Lead of Editorial Services with Oracle University, and with me is Lois Houston, Director of Communications and Adoption with Customer Success Services.   Lois: Hi everyone! Thanks for joining us for this Best of 2025 series, where we're playing you four of our most popular episodes of the year.   Nikita: Today's episode is #3 of 4 and is a throwback to a conversation with our friends and Oracle Fusion Apps experts Patrick McBride and Bill Lawson. We chatted with them about the latest courses and certifications available for Oracle Fusion Cloud Applications, featuring Oracle Modern Best Practice and the Oracle Cloud Success Navigator.  01:08 Lois: We kicked things off by asking Patrick to help us understand what Oracle Modern Best Practice is, and the reasons behind its creation. Patrick: So, modern best practices are more than just a business process. They're really about translating features and technology into actionable capabilities in our product. So, we've created these by curating industry leading best practices we've collected from our customers over the years. And ensure that the most modern technologies that we've built into the Fusion Application stack are represented inside of those business processes. Our goal is really to help you as customers improve your business operations by easily finding and applying those technologies to what you do every day.  01:53 Nikita: So, by understanding this modern best practice and the technology that enables it, you're really unlocking the full potential of Fusion Apps.  Patrick: Absolutely. So, the goal is that modern best practice make it really easy for customers, implementers, partners, to see the opportunity and take action. 02:13 Lois: That's great. OK, so, let's talk about implementations, Patrick. How do Oracle Modern Best Practice support customers throughout the lifecycle of an Oracle Fusion Cloud implementation? Patrick: What we found during many implementers' journey with taking our solution and trying to apply it with customers is that customers come in with a long list of capabilities that they're asking us to replicate. What they've always done in the past. And what modern best practice is trying to do is help customers to reimage the art of the possible…what's possible with Fusion by taking advantage of innovative features like AI, like IoT, like, you know, all of the other solutions that we built in to help you automate your processes to help you get the most out of the solution using the latest and greatest technology. So, if you're an implementer, there's a number of ways a modern best practice can help during an implementation. First is that reimagine exercise where you can help the customer see what's possible. And how we can do it in a better way. I think more importantly though, as you go through your implementation, many customers aren't able to get everything done by the time they have to go live. They have a list of things they've deferred and modern best practices really establishes itself as a road map for success, so you can go back to it at the completion and see what's left for the opportunity to take advantage of and you can use it to track kind of the continuous innovation that Oracle delivers with every release and see what's changed with that business process and how can I get the most out of it. 03:43 Nikita: Thanks, Patrick. That's a great primer on OMBP that I'm sure everyone will find very helpful. Patrick: Thanks, Niki. We want our customers to understand the value of modern best practices so they can really maximize their investment in Oracle technology today and in the future as we continue to innovate. 03:59 Lois: Right. And the way we're doing that is through new training and certifications that are closely aligned with OMBP. Bill, what can you tell us about this? Bill: Yes, sure. So, the new Oracle Fusion Applications Foundations training program is designed to help partners and customers understand Oracle Modern Best Practice and how they improve the entire implementation journey with Fusion Cloud Applications. As a learner, you will understand how to adhere to these practices and how they promise a greater level of success and customer satisfaction. So, whether you're designing, or implementing, or going live, you'll be able to get it right on day one. So, like Patrick was saying, these OMBPs are reimagined, industry-standard business processes built into Fusion Applications. So, you'll also discover how technologies like AI, Mobile, and Analytics help you automate tasks and make smarter decisions. You'll see how data flows between processes and get tips for successful go-lives. So, the training we're offering includes product demonstrations, key metrics, and design considerations to give you a solid understanding of modern best practice. It also introduces you to Oracle Cloud Success Navigator and how it can be leveraged and relied upon as a trusted source to guide you through every step of your cloud journey, so from planning, designing, and implementation, to user acceptance testing and post-go-live innovations with each quarterly new release of Fusion Applications and those new features. And then, the training also prepares you for Oracle Cloud Applications Foundations certifications.                   05:31 Nikita: Which applications does the training focus on, Bill? Bill: Sure, so the training focuses on four key pillars of Fusion Apps and the associated OMBP with them. For Human Capital Management, we cover Human Resources and Talent Management. For Enterprise Resource Planning, it's all about Financials, Project Management, and Risk Management. In Supply Chain Management, you'll look at Supply Chain, Manufacturing, Inventory, Procurement, and more. And for Customer Experience, we'll focus on Marketing, Sales, and Service. 05:59 Lois: That's great, Bill. Now, who is the training and certification for?  Bill: That's a great question. So, it's really for anyone who wants to get the most out of Oracle Fusion Cloud Applications. It doesn't matter if you're an experienced professional or someone new to Fusion Apps, this is a great place to start. It's even recommended for professionals with experience in implementing other applications, like on-premise products. So, the goal is to give you a solid foundation in Oracle Modern Best Practice and show you how to use them to improve your implementation approach. We want to make it easy for anyone, whether you're an implementer, a global process owner, or an IT team employee, to identify every way Fusion Applications can improve your organization. So, if you're new to Fusion Apps, you'll get a comprehensive overview of Oracle Fusion Applications and how to use OMBP to improve business operations. If you're already certified in Oracle Cloud Applications and have years of experience, you'll still benefit from learning how OMBP fits into your work.  If you're an experienced Fusion consultant who is new to Oracle Modern Best Practice processes, this is a good place to begin and learn how to apply them and the latest technology enablers during implementations.  And, lastly, if you're an on-premise or you have non-Fusion consultant skills looking to upskill to Fusion, this is a great way to begin acquiring the knowledge and skills needed to transition to Fusion and migrate your existing expertise. 07:29 Have you mastered the basics of AI? Are you ready to take your skills to the next level? Unlock the potential of advanced AI with our OCI Generative AI Professional course and certification that covers topics like Large Language Models, the OCI Generative AI Service, and building Q&A chatbots for real-world applications. Head over to mylearn.oracle.com and find out more.  07:58 Nikita: Welcome back! Bill, how long is it going to take me to complete this training program? Bill: So, we wanted to make this program detailed enough so our learners find it valuable, obviously. But at the same time, we didn't want to make it too long. So, each course is approximately 5 hours or more, and provides folks with all the requisite knowledge they need to get started with Oracle Modern Best Practice and Fusion Applications.  08:22 Lois: Bill, is there anything that I need to know before I take this course? Are there any prerequisites? Bill: No, Lois, there are no prerequisites. Like I was saying, whether you're fresh out of college or a seasoned professional, this is a great place to start your journey into Fusion Apps and Oracle Modern Best Practice. 08:37 Nikita: That's great, you know, that there are no barriers to starting. Now, Bill, what can you tell us about the certification that goes along with this new program?  Bill: The best part, Niki, is that it's free. In fact, the training is also free. We have four courses and corresponding Foundation Associate–level certifications for Human Capital Management, Enterprise Resource Planning, Supply Chain Management, and Customer Experience. So, completing the training prepares you for an hour-long exam with 25 questions. It's a pretty straightforward way to validate your expertise in Oracle Modern Best Practice and Fusion Apps implementation considerations. 09:11 Nikita: Ok. Say I take this course and certification. What can I do next? Where should my learning journey take me? Bill: So, you're building knowledge and expertise with Fusion Applications, correct? So, once you take this training and certification, I recommend that you identify a product area you want to specialize in. So, if you take the Foundations training for HCM, you can dive deeper into specialized paths focused on implementing Human Resources, Workforce Management, Talent Management, or Payroll applications, for example.  The same goes for other product areas. If you finish the certification for Foundations in ERP, you may choose to specialize in Finance or Project Management and get your professional certifications there as your next step. So, once you have this foundational knowledge, moving on to advanced learning in these areas becomes much easier. We offer various learning paths with associated professional-level certifications to deepen your knowledge and expertise in Oracle Fusion Cloud Applications. So, you can learn more about these courses by visiting oracle.com/education/training/ to find out more of what Oracle University has to offer. 10:14 Lois: Right. I love that we have a clear path from foundational-level training to more advanced levels. So, as your skills grow, we've got the resources to help you move forward.  Nikita: That's right, Lois. Thanks for walking us through all this, Patrick and Bill. We really appreciate you taking the time to join us on the podcast. Bill: Yeah, it's always a pleasure to join you on the podcast. Thank you very much. Patrick: Oh, thanks for having me, Lois. Happy to be here. Nikita: We hope you enjoyed that conversation. Join us next week for another throwback episode. Until then, this is Nikita Abraham...      Lois: And Lois Houston, signing off!   10:47 That's all for this episode of the Oracle University Podcast. If you enjoyed listening, please click Subscribe to get all the latest episodes. We'd also love it if you would take a moment to rate and review us on your podcast app. See you again on the next episode of the Oracle University Podcast.  

Stimmen aus der Praxis – Live-Stream mit Erfahrungsberichten und Diskussion Wie erleben Menschen, die in der IT unterrepräsentiert sind, ihren Arbeitsalltag wirklich? In diesem Live-Stream bringen wir ungefilterte Stimmen direkt auf die Bühne der IT-Tage. Im Vorfeld haben wir persönliche Erfahrungsberichte gesammelt – von Mikroaggressionen im Team-Meeting bis zu strukturellen Hürden beim Karrierestart. Diese anonymisierten Geschichten lesen wir vor und diskutieren gemeinsam: Was läuft schief? Was funktioniert bereits gut? Und vor allem: Was kannst Du selbst, Dein Team oder Deine Organisation morgen konkret anders machen? Aus der Praxis für die Praxis: Diese Session richtet sich an alle, die Diversität nicht nur als HR-Thema verstehen, sondern als strategischen Erfolgsfaktor für ihre IT-Organisation. Ob CTO, Teamlead oder Entwickler:in – hier erhältst Du ungefilterte Einblicke aus dem Projektalltag, die sonst oft unsichtbar bleiben, und kannst konkrete Impulse direkt in Deinen Alltag mitnehmen. Was Du mitnimmst: Echte Erfahrungen statt Theorie, Verständnis für Barrieren im IT-Alltag und Handlungsfelder für inklusive Teams – so konkret wie möglich, so anonym wie nötig. Mit Liam Bergh, Sabine Wojcieszak und Eberhard Wolff

One of our guests on Episode 3 of Midrats was Bryan McGrath, CDR, USN (Ret.). Over the years he's returned often, and has even graced us with the pleasure of a few guest posts here.As he's let people know for years, he was going to retire for good at 60. True to his word, he hung it up a few weeks ago.Earlier this year before he got too focused on his figs and vines, I asked Bryan to come on for a broad-ranging conversation.What a great hour.A retired Naval Officer, Bryan spent 21 years on active duty including a tour in command of USS BULKELEY (DDG 84), a guided-missile destroyer homeported in Norfolk, Virginia. In command, he received the “Admiral Elmo Zumwalt Award for Inspirational Leadership” from the Surface Navy Association and his ship earned the USS ARIZONA Memorial Trophy signifying its selection as the Fleet's most combat-ready warship. His final duties ashore included serving as Team Lead and Primary Author of the US Navy's 2007 Maritime Strategy “A Cooperative Strategy for 21st Century Seapower”.Bryan was formerly the Deputy Director of the Hudson Institute Center for American Seapower. In this capacity, he helped develop the Surface Navy's “Distributed Lethality” concept and the Center for Strategic and Budgetary Assessments' 2017 Navy Alternate Fleet Architecture Study.Bryan earned a BA in History from the University of Virginia in 1987, and an MA in Political Science (Congressional Studies) from The Catholic University of America. He is a graduate of the Naval War College.He retired again in November 2025 after 13 years in defense consulting.Show LinksThe End of the Road, Bryan McGrathIn Praise of the Military-Industrial Complex, Bryan McGrathSummaryIn this episode of Midrats, hosts Sal and Mark welcome back Bryan McGrath to discuss his reflections on retirement, the changes in the naval environment over the years, and the importance of relationships in naval policy. They delve into the challenges facing shipbuilding and naval strategy, the need for diverse naval capabilities, and the influence of Congress on naval development. The conversation also touches on personnel and leadership in the Navy, learning from past naval conflicts, and the impact of historical events on naval leadership. Bryan shares insights on future directions for naval operations, praises recent naval performance, and emphasizes the role of technology in naval warfare. The episode concludes with a discussion on collaboration between industry and military and Bryan's final thoughts on future advocacy in the naval sphere.Chapters00:00: Introduction and Guest Background04:46: Reflections on Retirement and Career Path07:35: Changes in Naval Environment Over the Years11:17: The Importance of Relationships in Naval Policy14:47: Challenges in Shipbuilding and Naval Strategy18:03: The Need for Diverse Naval Capabilities21:25: Congressional Influence on Naval Development24:40: Personnel and Leadership in the Navy28:14: Learning from Past Naval Conflicts32:45: The Impact of Historical Events on Naval Leadership36:08: Future Directions for Naval Operations39:00: Praise for Naval Performance in Recent Operations43:23: The Role of Technology in Naval Warfare46:57: Collaboration Between Industry and Military50:48: Final Thoughts and Future Advocacy

I takt med att distansarbete blivit vanligare har också sysselsättningen bland personer med funktionsnedsättning ökat markant. I en ny SNS Analys undersöker tre forskare om det finns ett kausalt samband. Medverkande Samuel Engblom, ställföreträdande Diskrimineringsombudsman Nicklas Mårtensson, ordförande, Funktionsrätt Sverige Rebecca Nobel, Assistant Director och Team Lead för EY:s Neurodiversity Center of Excellence i Sverige. Neurodiversity Center of Excellence är ett globalt initiativ som EY startade 2016. Med totalt 25 center i världen och över 1000 neurodivergenta medarbetare har EY många lärdomar och erfarenheter från arbete med inkluderingsfrågor. Dan-Olof Rooth, professor i nationalekonomi vid Stockholms universitet Seminariet modereras av Gabriella Chirico Willstedt, forskningsledare och medlemschef på SNS.

Ray White speaks to Dean Weil, Team Lead for Social Engagement at Jozi My Jozi, about the launch of the Play Café, a safe, supervised creative space for children opening this weekend at the Johannesburg Artist Market. With child safety a growing concern, the initiative, led by Joburg Child Welfare and supported by Jozi My Jozi, aims to offer kids a secure place to play while calling on corporates and community partners to get involved through sponsorships, donations, or volunteering. 702 Breakfast with Bongani Bingwa is broadcast on 702, a Johannesburg based talk radio station. Bongani makes sense of the news, interviews the key newsmakers of the day, and holds those in power to account on your behalf. The team bring you all you need to know to start your day Thank you for listening to a podcast from 702 Breakfast with Bongani Bingwa Listen live on Primedia+ weekdays from 06:00 and 09:00 (SA Time) to Breakfast with Bongani Bingwa broadcast on 702: https://buff.ly/gk3y0Kj For more from the show go to https://buff.ly/36edSLV or find all the catch-up podcasts here https://buff.ly/zEcM35T Subscribe to the 702 Daily and Weekly Newsletters https://buff.ly/v5mfetc Follow us on social media: 702 on Facebook: https://www.facebook.com/TalkRadio702 702 on TikTok: https://www.tiktok.com/@talkradio702 702 on Instagram: https://www.instagram.com/talkradio702/ 702 on X: https://x.com/Radio702 702 on YouTube: https://www.youtube.com/@radio702See omnystudio.com/listener for privacy information.

In this episode of the Black Belt in Thinking podcast, Peter Cronin sits down with Mieta Fagundes, Team Lead for AI at a major Australian tech company, to unpack the increasingly popular (and misunderstood) idea of “AI brain rot.” They explore the two very different meanings behind the term: the slow erosion of thinking skills when people rely too heavily on AI tools, and the social-media-fuelled version of “brain rot” linked to endlessly scrolling shallow, hyper-optimized content.   Together they discuss how AI dependence can stunt skill development, the behavioural science behind doom-scrolling, and why platforms like TikTok, Instagram, and even children's content like Cocomelon are engineered to trigger reinforcement loops in the brain. The conversation blends AI, behaviour psychology, and cultural trends to illuminate why attention spans are shrinking—and what we can do about it.

Flink Forward Barcelona 2025 was not just about streaming. It was about what comes next for enterprise AI. I sat down with Qingsheng Ren, Team Lead, Flink Connectors & Catalogs at Ververica, and Xintong Song, Staff Software Engineer at Alibaba Cloud, to talk about something that could change how enterprises build AI systems in production: Flink Agents.Flink Agents is being introduced as an open source sub-project under Apache Flink. The goal is simple and ambitious at the same time: bring agentic AI into the same reliable, scalable, fault-tolerant world that already powers real-time data infrastructure.We talked about why this matters.First, why Flink Agents and why now?They walked me through the motivation. Most AI agent frameworks today look exciting in a demo, but they break once you try to run them against live data, streaming events, strict SLAs, audit requirements, cost pressure, and real users. There's a big gap between prototypes and reliable operations. That's the gap Flink Agents is aiming to close.Why open source?Both Ververica and Alibaba made it clear that this is not meant to be a proprietary, closed feature. They want this to be a community effort under Apache Flink, not a vendor lock-in story. The belief is that enterprises will only bet on AI agents at scale if the runtime is open, portable, and battle tested.How is building an AI agent different from building a normal Flink job?This part was interesting. A standard Flink job processes streams. An agent has to do more. It has to reason, take actions, call tools, maintain context, react to feedback, and keep doing that continuously. You're not just transforming data. You're orchestrating behavior. Flink Agents is meant to give you those building blocks on top of Flink instead of forcing teams to stitch this together themselves.What kind of companies is this for?We got into enterprise workloads that actually need this. Think about environments where fast decisions matter and you can't afford to go offline:-- Fraud detection and response-- Customer support and workflow automation-- Operational monitoring, alert triage, and remediation-- Real-time personalization and recommendations-- Anywhere you need an autonomous loop, not just a dashboard-- And finally, roadmap.We talked about the next 2 to 3 years. The focus is on deeper runtime primitives for agent behavior, cleaner developer experience, and patterns that large enterprises can trust and repeat.My takeaway:Flink Agents is not just “yet another agent framework.” It's an attempt to operationalize agentic AI on top of a streaming backbone that already runs at massive scale in production.This is the conversation every enterprise AI team needs to be having right now.#FlinkForward #Ververica #Streaming #RealTime #DataEngineering #AI #TheRavitShow

In dieser Folge von wiecommerce? spricht Max mit Marc Sonnemann, der bei edding die Markenpräsenz am Point of Sale verantwortet und das Retail-Media-Geschäft auf Händler- und Marktplatzseiten vorantreibt. Das Gespräch bietet einen umfassenden Einblick in den aktuellen Stand und die Weiterentwicklung des Retail-Media-Marktes aus Markensicht.Marc erläutert, welche Voraussetzungen geschaffen werden müssen, damit Retail Media weiter wächst, welche Rolle es für edding im Budgetmix spielt und welche Erfahrungen das Unternehmen auf verschiedenen Plattformen – auch jenseits von Amazon – gesammelt hat. Zusätzlich teilt er seine Perspektive auf Chancen, Herausforderungen und notwendige Entwicklungen innerhalb dieser dynamischen Mediengattung.Eine Folge, die insbesondere für Marken, Händler und Retail-Media-Interessierte relevante Einordnungen liefert. Viel Spaß beim Hören!Über Marc Sonnemann> Marc auf LinkedInwieCommerce? Social Links>⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Weitere Plattformen⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠CreditsLogo Design: Naim SolisIntro & Jingles: Kurt WoischytzkyFotos: Stefan GrauIntro-Video: Tim Solle

Tawnya Bell - Partner and Team Lead of the Corporate M&A Practice at R. Reese & Associates (RR&A) joins the podcast to talk all things fundraising, including the process of fund formation, how to stay in compliance, and trends she is seeing across the LP space. **Disclaimer: This podcast is meant for informational purposes only and does not constitute investment advice.A big thanks to our 3 Minerals & Royalties Podcast Sponsors:--Tracts: If you are interested in learning more about Tracts title related services and software, then please call 281-892-2096 or visit https://tracts.co/ to learn more.--Riverbend Energy Group: If you are interested in discussing the sale of your Minerals and/or NonOp interests w/ Riverbend, then please visit www.riverbendenergygroup.com for more information--Farmers National Company: For more information on Farmer's land management services, please visit www.fncenergy.com or email energy@farmersnational.com

Today's episode is hosted by Sam Russell and they are joined on the podcast by Hanna Isacson, Product Manager, AI & Automation at ICA Gruppen, Nicolas Nikula, Director, Analytics / Processes / Systems at Fiskars Group, and Ata Marzban, Team Lead, Engineering & AI Product at Klarna Bank. The conversation explores the impact of artificial intelligence on the workforce, highlighting how automation and AI are reshaping roles across industries. The exchange highlights strategies for balancing innovation with human expertise, integrating AI tools while preserving value from skilled professionals, and understanding where AI complements or replaces tasks. Listeners will gain insights into practical approaches for managing AI adoption, assessing job transformation risks, and fostering a culture that leverages technology effectively. The discussion also touches on ethical considerations, efficiency gains, and how teams can adapt to evolving workflows. Professionals and enthusiasts will find guidance for navigating AI-driven change and maintaining a strategic perspective in the rapidly transforming workplace.

Today's episode is hosted by Alvin Boampong and they are joined on the podcast by Tanusree Mukherjee, Test & Release Manager at Ericsson, Kalyan Routhu, DevOps Lead and AI Area Lead, Christoffer Forsberg, Cloud Manager at Infor, and Miguel Chourio, Team Lead at Ericsson. The conversation explores the evolving role of DevOps in modern technology ecosystems, with a focus on automation, AI integration and cloud infrastructure. The guests discuss how continuous delivery and intelligent systems are reshaping testing strategies and improving reliability across large-scale operations. The exchange highlights the importance of collaboration between development, testing and operations teams, and how cultural transformation supports faster innovation cycles. Listeners will gain insight into how leading organisations are leveraging AI and DevOps practices to enhance performance, streamline processes and build scalable, future-ready digital solutions.

Fünf Sales-Fehler entscheiden oft über Erfolg oder Stillstand: Wer nur eine Vertriebsperson einstellt, verliert Vergleich und Lernerfahrung. Späte Trennungen lähmen Teams, fehlende Ziele bringen Unsicherheit. Ein zu niedriger Einstiegspreis klebt wie ein Etikett, das späteres Wachstum blockiert. Upsells entstehen selten von allein, sondern brauchen klare nächste Schritte und echtes Commitment. Praktische Erfahrungen und klare Haltung prägen diese Folge – für alle, die Sales ehrlich und nachhaltig gestalten wollen. Du erfährst... …warum mehrere Vertriebler*innen den Erfolg im Sales steigern. …wie klare Ziele den Vertrieb dynamisch und erfolgreich machen. …warum der richtige Preis entscheidend für langfristige Kundenbeziehungen ist. __________________________ ||||| PERSONEN |||||

Are you better off building your brand as a solo agent—or thriving within the structure of a team?With the 2026 housing market warming up and new tech reshaping real estate, this episode breaks down the Solo vs Team Realtors debate once and for all.Solo vs Team Realtors isn't about picking sides—it's about finding what fits your business and lifestyle best. Mike Mills talks with Lauren Kerschen, Realtor & Team Lead at ARC Realty DFW, about what agents really face in 2026: unpredictable markets, high expectations, and the pressure to perform.Together they unpack commission splits, lead generation systems, and practical real estate automation tools that actually help. You'll learn how to leverage AI research and content marketing to compete with larger teams while protecting your personal brand.How can Texas Realtors use AI to attract listings, stay visible online, and thrive in a competitive DFW housing market?This episode delivers straight, actionable answers without the industry fluff.

In this episode, we sit down with Farlina Said, Fellow and Team Lead in the Cyber and Technology Policy programme at Institute of Strategic and International Studies (Malaysia) to explore all things cyber security, including how we should distinguish between cyber security and cyber stability. Ms. Said discusses the cyber security landscape in 2025, including the challenges that countries face when looking to defend themselves against cyberattacks, as well as the international communities' difficulty in regulating the international rules of the cyber domain. She also touches on what gives her hope for the future when looking at these issues. Finally, we discuss ASEAN and whether Canada is in a place to partner with ASEAN countries on this issue, and within the Indo-Pacific region more broadly. 

Session: 5Date of First Use: November 16, 2025Title: When a Time of Inactivity Slows You DownThe Point: Use unexpected downtime to prepare for what's next.Life Connection: We lead busy lives, but sometimes an unplanned event puts a stop to our plans. It might be a delayed flight, staying at home with a sick child, or something else that causes us to sit and wait. We can get frustrated, or we can make use of the delay to prepare for what God may have waiting for  us. We can make “the most of the time” (Eph. 5:16) to focus on our walk with God.Session Passage: Acts 1:4-8,12-14; 2:1-4Host: Ryan J. Sanders; Team Lead, Bible Studies for LifeCo-Host: Chris Johnson; Content Editor, Bible Studies for Life: SeniorsGuest: P. J. Dunn is the Discipleship Consultant for Georgia Baptist Mission Board and Adjunct Professor at New Orleans Baptist Theological Seminary. 

James Dickins, Team Lead of Technical Support at Gamelight, joins Taylor Lobdell to discuss how rewarded UA and behavioral targeting shape user acquisition in 2025's privacy-first landscape. From the company's laser-eyed cat mascot to the mechanics of lookalike models, James explains how his team balances precision with ethics and how algorithms are trained on aggregated behavior data. He also discusses creative testing and when human intuition should override machine logic. He breaks down the real limits of automation, why model decay demands constant retraining, and how to build campaigns that adapt as fast as user behavior changes.Questions that James answered in this episode:What is Gamelight, and how does its rewarded game recommendation model work?How does the team identify and replicate high-value users?What causes lookalike model decay, and how do you avoid overfitting?How can UA teams respect privacy while maintaining performance?What signals matter most when predicting player retention?How can creative teams and data teams collaborate more effectively?What are the most common mistakes UA managers make when scaling campaigns?How do rewarded ads reshape consent and engagement models?What role does human judgment play in interpreting algorithmic outputs?How will privacy and regulation continue to shape UA in the next five years?Timestamps(0:00) – Intro: James Dickins and Gamelight overview(0:54) – The story behind Gamelight's laser cat mascot(1:35) – What makes a high-value player, and how to identify them(2:04) – Using behavior profiles to guide acquisition strategy(2:55) – Lookalike models and the value of aggregated data(3:51) – Avoiding overfitting and model decay(4:50) – The surprise of discovering unexpected audience segments(5:20) – Privacy-first UA and ethical targeting(6:24) – Rewarded UA and consent-based engagement(6:30) – Managing ad fatigue and creative burnout(7:12) – When human intuition beats the algorithm(8:25) – Balancing optimization with experimentation(9:45) – Measuring engagement and long-term retention(10:17) – Designing for compliance before regulation hits(10:57) – Treating creative testing as data science(11:42) – Building the feedback loop between creative and data teams(12:52) – What keeps UA leaders up at night(13:07) – Predicting the future of user acquisition(17:35) – Wrap-up: how to connect with JamesSelected quotes(3:40) – “A strong lookalike model is always learning and changing, predicting not just who might install but who will stick around.”(4:24) – “Lookalike models are amazing, but they're not magic. Model decay happens, and what worked last quarter might fail today.”(5:59) – “Precision targeting and privacy can feel like opposites, but they can work together when you focus on aggregated signals.”Mentioned in this episodeGamelightArchers.ioJames on Linkedin

Elysia wears many hats, but in short she's an all-around badass. She recently stepped into the role of Team Leader for the Headwaters Ecosystem Management Team, Archbold Biological Station's in-house prescribed fire strike team. In this position, she leads regional fire management efforts to restore and maintain critical ecosystems while reducing wildfire risk across the Everglades Headwaters and the Lake Wales Ridge.Before joining Archbold, Elysia served as the Area Biologist for Florida Fish and Wildlife Conservation Commission's Lake Wales Ridge sites, where she worked to conserve large habitat corridors and restore some of Florida's most endangered plant communities.As you might expect, Elysia has incredible fire stories and she brought that same energy, passion, and deep knowledge to our conversation on the show.Join Us at the Lake Wales Ridge Fire FestAlso, if you'd like to hear more from Elysia and other fire experts, join us at the Lake Wales Ridge Fire Fest on November 8th, from 10:00 AM to 5:00 PM at Highlands Hammock State Park in Sebring, Florida. We'll be hosting a live podcast recording and expert panel featuring Elysia and other leaders in fire ecology.About Fire FestExplore the essential role of fire in Florida's ecosystems at a day-long festival filled with learning, demonstrations, and community engagement. Admission is free with the park's $6 entrance fee.10:00 AM — Gates OpenGrab a map, visit interactive exhibits, and explore booths and food trucks. See fire equipment up close, from helicopters to fire trucks, and chat with crews protecting Florida's landscapes.10:30 AM – 12:30 PM — PresentationsHear from fire scientists, land managers, and conservation experts during a morning of talks and discussions.1:00 PM — Main Stage: Live Panel & Podcast RecordingJoin our panel of experts as they share real-world fire stories and insights, including a special live podcast taping.1:00 PM — Burn Crew Gears UpWatch the team prepare for ignition and learn what goes into a safe prescribed burn.2:00 PM — Public Briefing & Walk to Burn SiteGet an overview of the upcoming demonstration and its ecological benefits.2:30 PM — Prescribed Burn DemonstrationSee fire in action! Live commentary and Q&A will accompany the burn.~5:00 PM — Mop-Up & Wrap-UpWatch how the crew ensures the site is safe before closing out the day.Learn more here: https://www.archbold-station.org/events/fire-fest-2025/

Have you ever wondered where all your digital memories, work projects, or favorite photos actually live in the cloud?   In this episode, Lois Houston and Nikita Abraham are joined by Principal OCI Instructor Orlando Gentil to discuss cloud storage.   They explore how data is carefully organized, the different ways it can be stored, and what keeps it safe and easy to find.   Cloud Tech Jumpstart: https://mylearn.oracle.com/ou/course/cloud-tech-jumpstart/152992   Oracle University Learning Community: https://education.oracle.com/ou-community   LinkedIn: https://www.linkedin.com/showcase/oracle-university/   X: https://x.com/Oracle_Edu   Special thanks to Arijit Ghosh, David Wright, Kris-Ann Nansen, Radhika Banka, and the OU Studio Team for helping us create this episode. ------------------------------------------------------   Episode Transcript:    00:00 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we'll bring you foundational training on the most popular Oracle technologies. Let's get started! 00:25 Nikita: Welcome to the Oracle University Podcast! I'm Nikita Abraham, Team Lead of Editorial Services with Oracle University, and with me is Lois Houston, Director of Innovation Programs. Lois: Hey there! Last week, we spoke about the differences between traditional and cloud data centers, and covered components like CPU, RAM, and operating systems. If you haven't listened to the episode yet, I'd suggest going back and listening to it before you dive into this one.  Nikita: Joining us again is Orlando Gentil, Principal OCI Instructor at Oracle University, and we're going to ask him about another fundamental concept: storage. 01:04 Lois: That's right, Niki. Hi Orlando! Thanks for being with us again today. You introduced cloud data centers last week, but tell us, how is data stored and accessed in these centers?  Orlando: At a fundamental level, storage is where your data resides persistently. Data stored on a storage device is accessed by the CPU and, for specialized tasks, the GPU. The RAM acts as a high-speed intermediary, temporarily holding data that the CPU and the GPU are actively working on. This cyclical flow ensures that applications can effectively retrieve, process, and store information, forming the backbone for our computing operations in the data center. 01:52 Nikita: But how is data organized and controlled on disks? Orlando: To effectively store and manage data on physical disks, a structured approach is required, which is defined by file systems and permissions. The process began with disks. These are the raw physical storage devices. Before data can be written to them, disks are typically divided into partitions. A partition is a logical division of a physical disk that acts as if it were a separated physical disk. This allows you to organize your storage space and even install multiple operating systems on a single drive. Once partitions are created, they are formatted with a file system. 02:40 Nikita: Ok, sorry but I have to stop you there. Can you explain what a file system is? And how is data organized using a file system?  Orlando: The file system is the method and the data structure that an operating system uses to organize and manage files on storage devices. It dictates how data is named, is stored, retrieved, and managed on the disk, essentially providing the roadmap for data. Common file systems include NTFS for Windows and ext4 or XFS for Linux. Within this file system, data is organized hierarchically into directories, also known as folders. These containers help to logically group related files, which are the individual units of data, whether they are documents, images, videos, or applications. Finally, overseeing this entire organization are permissions.  03:42 Lois: And what are permissions? Orlando: Permissions define who can access a specific files and directories and what actions they are allowed to perform-- for example, read, write, or execute. This access control, often managed by user, group, and other permissions, is fundamental for security, data integrity, and multi-user environments within a data center.  04:09 Lois: Ok, now that we have a good understanding of how data is organized logically, can we talk about how data is stored locally within a server?   Orlando: Local storage refers to storage devices directly attached to a server or computer. The three common types are Hard Disk Drive. These are traditional storage devices using spinning platters to store data. They offer large capacity at a lower cost per gigabyte, making them suitable for bulk data storage when high performance isn't the top priority. Unlike hard disks, solid state drives use flash memory to store data, similar to USB drives but on a larger scale. They provide significantly faster read and write speeds, better durability, and lower power consumption than hard disks, making them ideal for operating systems, applications, and frequently accessed data. Non-Volatile Memory Express is a communication interface specifically designed for solid state that connects directly to the PCI Express bus. NVME offers even faster performance than traditional SATA-based solid state drives by reducing latency and increasing bandwidth, making it the top choice for demanding workloads that require extreme speed, such as high-performance databases and AI applications. Each type serves different performance and cost requirements within a data center. While local storage is essential for immediate access, data center also heavily rely on storage that isn't directly attached to a single server.  05:59 Lois: I'm guessing you're hinting at remote storage. Can you tell us more about that, Orlando? Orlando: Remote storage refers to data storage solutions that are not physically connected to the server or client accessing them. Instead, they are accessed over the network. This setup allows multiple clients or servers to share access to the same storage resources, centralizing data management and improving data availability. This architecture is fundamental to cloud computing, enabling vast pools of shared storage that can be dynamically provisioned to various users and applications. 06:35 Lois: Let's talk about the common forms of remote storage. Can you run us through them? Orlando: One of the most common and accessible forms of remote storage is Network Attached Storage or NAS. NAS is a dedicated file storage device connected to a network that allows multiple users and client devices to retrieve data from a centralized disk capacity. It's essentially a server dedicated to serving files. A client connects to the NAS over the network. And the NAS then provides access to files and folders. NAS devices are ideal for scenarios requiring shared file access, such as document collaboration, centralized backups, or serving media files, making them very popular in both home and enterprise environments. While NAS provides file-level access over a network, some applications, especially those requiring high performance and direct block level access to storage, need a different approach.  07:38 Nikita: And what might this approach be?  Orlando: Internet Small Computer System Interface, which provides block-level storage over an IP network. iSCSI or Internet Small Computer System Interface is a standard that allows the iSCSI protocol traditionally used for local storage to be sent over IP networks. Essentially, it enables servers to access storage devices as if they were directly attached even though they are located remotely on the network.  This means it can leverage standard ethernet infrastructure, making it a cost-effective solution for creating high performance, centralized storage accessible over an existing network. It's particularly useful for server virtualization and database environments where block-level access is preferred. While iSCSI provides block-level access over standard IP, for environments demanding even higher performance, lower latency, and greater dedicated throughput, a specialized network is often deployed.  08:47 Nikita: And what's this specialized network called? Orlando: Storage Area Network or SAN. A Storage Area Network or SAN is a high-speed network specifically designed to provide block-level access to consolidated shared storage. Unlike NAS, which provides file level access, a SAN presents a storage volumes to servers as if they were local disks, allowing for very high performance for applications like databases and virtualized environments. While iSCSI SANs use ethernet, many high-performance SANs utilize fiber channel for even faster and more reliable data transfer, making them a cornerstone of enterprise data centers where performance and availability are paramount. 09:42 Oracle University's Race to Certification 2025 is your ticket to free training and certification in today's hottest technology. Whether you're starting with Artificial Intelligence, Oracle Cloud Infrastructure, Multicloud, or Oracle Data Platform, this challenge covers it all! Learn more about your chance to win prizes and see your name on the Leaderboard by visiting education.oracle.com/race-to-certification-2025. That's education.oracle.com/race-to-certification-2025. 10:26 Nikita: Welcome back! Orlando, are there any other popular storage paradigms we should know about? Orlando: Beyond file level and block level storage, cloud environments have popularized another flexible and highly scalable storage paradigm, object storage.  Object storage is a modern approach to storing data, treating each piece of data as a distinct, self-contained unit called an object. Unlike file systems that organize data in a hierarchy or block storage that breaks data into fixed size blocks, object storage manages data as flat, unstructured objects. Each object is stored with unique identifiers and rich metadata, making it highly scalable and flexible for massive amounts of data. This service handles the complexity of storage, providing access to vast repositories of data. Object storage is ideal for use cases like cloud-native applications, big data analytics, content distribution, and large-scale backups thanks to its immense scalability, durability, and cost effectiveness. While object storage is excellent for frequently accessed data in rapidly growing data sets, sometimes data needs to be retained for very long periods but is accessed infrequently. For these scenarios, a specialized low-cost storage tier, known as archive storage, comes into play. 12:02 Lois: And what's that exactly? Orlando: Archive storage is specifically designed for long-term backup and retention of data that you rarely, if ever, access. This includes critical information, like old records, compliance data that needs to be kept for regulatory reasons, or disaster recovery backups. The key characteristics of archive storage are extremely low cost per gigabyte, achieved by optimizing for infrequent access rather than speed. Historically, tape backup systems were the common solution for archiving, where data from a data center is moved to tape. In modern cloud environments, this has evolved into cloud backup solutions. Cloud-based archiving leverages high-cost, effective during cloud storage tiers that are purpose built for long term retention, providing a scalable and often more reliable alternative to physical tapes. 13:05 Lois: Thank you, Orlando, for taking the time to talk to us about the hardware and software layers of cloud data centers. This information will surely help our listeners to make informed decisions about cloud infrastructure to meet their workload needs in terms of performance, scalability, cost, and management.  Nikita: That's right, Lois. And if you want to learn more about what we discussed today, head over to mylearn.oracle.com and search for the Cloud Tech Jumpstart course.  Lois: In our next episode, we'll take a look at more of the fundamental concepts within modern cloud environments, such as Hypervisors, Virtualization, and more. I can't wait to learn more about it. Until then, this is Lois Houston… Nikita: And Nikita Abraham, signing off! 13:47 That's all for this episode of the Oracle University Podcast. If you enjoyed listening, please click Subscribe to get all the latest episodes. We'd also love it if you would take a moment to rate and review us on your podcast app. See you again on the next episode of the Oracle University Podcast.  

In this solo episode, Brian reads a powerful leadership article by his friend and author Jeffrey McNulty, creator of The Ultimate Retail Manual. With over 30 years in executive retail leadership at Home Depot, Lowe's, PetSmart, and more, Jeffrey's wisdom hits home for powersports dealers today.Learn how to:Build fairness into your hiring and pay practicesMaintain an even exchange of energy with your teamLead with authenticity, empathy, and engagementUnderstand why karma always wins in businessA must-listen for dealership leaders who want to inspire, grow, and lead with purpose.

Quantum Nurse https://graceasagra.com/  http://graceasagra.bio.link/presents Freedom International Livestream Thursday, Oct 2, 2025 @ 12:00 PM EST  Guest: WARREN MONTY QUESNELL Topic: Signals of a Silenced Voice: Charlie Kirk's Assassination & Global Power Bio: Former Military (Signal) Intelligence; US Army 1967-71 Former Chief of Logistics, US Army Corps of Engineers; Los Angeles District.  Team Lead for USACE Logistics Planning and Response Team, Emergency Operations.    Follow him on Facebook and LinkedIn. Special Guest Hosts: Dr. Uwe Alschner Substack – Never Again Is Now.   Founding Host:   Grace Asagra, RN MA Podcast:  Quantum Nurse: Out of the Rabbit Hole from Stress to Bliss http://graceasagra.com https://rumble.com/c/QuantumNurseGraceAsagra Telegram - https://t.me/QuantumNurseGraceAsagra   TIP/DONATE LINK for Grace Asagra @ Quantum Nurse Podcast https://patron.podbean.com/QuantumNurse https://www.paypal.com/donate/?hosted_button_id=FHUXTQVAVJDPU Venmo - @Grace-Asagra 609-203-5854 WELLNESS RESOURCES Optimal Health and Wellness with Grace Virtual Dispensary Link (Designs for Health)               2https://www.designsforhealth.com/u/optimalhealthwellness Premier Research Labs - https://prlabs.com/customer/account/create/code/59n84f/ - 15% discount - 15%_59N84F_05   Standing Co-Host:   Hartmut Schumacher www.dragonnous.com

In this episode, host Kim Young, Provincial Practice Lead with Professional Education & Practice, has a conversation with Carlene Johnson Stoklossa, a Registered Dietitian and Team Lead with Alberta Health Services. Together, they explore Carlene's professional journey as a dietitian and researcher, and insights into the importance of recognizing sarcopenia obesity in chronic disease management. Topics include: • The benefits and challenges of getting involved with research and moving evidence into practice. • Being curious and open to opportunities throughout one's professional journey. • Insights into how sarcopenic obesity may be identified in a variety of chronic or metabolic diseases. Carlene's recent publication: Sarcopenic Obesity in Metabolic and Bariatric Surgery: A Scoping Review - Vieira - Obesity Reviews - Wiley Online Library https://onlinelibrary.wiley.com/doi/full/10.1111/obr.13973

In this episode of the LeadCulture Podcast, Jenni Catron dives into the Define Phase of the LeadCulture Framework, where culture clarity becomes the driving force for thriving teams.Jenni sits down with Angela Shirley, an executive leader overseeing 70+ early childhood educators and 300+ students across multiple campuses. Post-pandemic, Angela faced burnout, high turnover, and the quiet undercurrents of negativity that can sink even the best organizations.Together, they explore how Angela:Discovered the hidden culture gaps affecting engagement, trust, and performanceCollaboratively defined core values with her entire team, turning abstract ideals into daily behaviorsCreated alignment and ownership across 150 staff members, giving voice to every employeeUsed core values to guide tough conversations, reinforce positive behaviors, and strengthen moraleTransformed culture into a competitive advantage, reducing turnover and building a thriving, people-focused workplaceThrough Angela's journey, leaders will see how intentionally defining values, beliefs, and behaviors isn't just “nice to have”—it's the key to turning hope into results, building alignment, and creating a culture your team chooses to stay for.If you've ever wondered how to move from aspirational culture statements to real, measurable outcomes, this episode is packed with insights you can apply immediately.Listen and learn: How to define your cultureAlign your teamLead with clarity, confidence, and intentionality.Check out Angela's full customer story here.We need your help to get the LeadCulture podcasts in front of more leaders! There are three simple things you can do that truly help us: Review us on Apple podcasts Subscribe - we're available wherever you listen to podcasts. Share - let your friends know about the podcast by sharing your favorite episode on social media!

In this episode of NucleCast, Gibum Kim from the Korean Institute for Defense Analysis to discuss the recent political changes in South Korea, particularly the impact of the new Democratic Party leadership on foreign policy, especially regarding North Korea and the US-South Korea alliance. They explore the philosophical differences between the political parties regarding denuclearization, the future of the US-South Korea alliance, and the challenges posed by China. The conversation concludes with Gi-bum's wishes for the future of South Korea's security and international relations.Gibum KIM is an associate research fellow at the Korea Institute for Defense Analyses (KIDA). He leads the Current Issues Team under the Future Strategy Office. Before becoming the Team Lead, his research focused on issues pertaining to the ROK-U.S. alliance, U.S. nuclear strategy and extended deterrence, and defense space strategy at the Center for Security and Strategy. He was formerly a research associate at both the Office of the Vice President for Research and the Center for Foreign Policy and National Security of the Asan Institute for Policy Studies (AIPS) in Seoul. Mr. Kim was a member of the Pacific Forum Young Leaders Program from 2014 to 2019. He earned both an MA and BA in Political Science at the College of Political Science and Economics, Korea University, and is pursuing his doctoral degree at his alma mater. His research interests include issues related to nuclear strategy, nonproliferation, alliance politics, defense space strategy, and multilateral security cooperation in the Indo-Pacific region.Socials:Follow on Twitter at @NucleCastFollow on LinkedIn: https://linkedin.com/company/nuclecastpodcastSubscribe RSS Feed: https://rss.com/podcasts/nuclecast-podcast/Rate: https://podcasts.apple.com/us/podcast/nuclecast/id1644921278Email comments and topic/guest suggestions to NucleCast@anwadeter.org

What if success doesn't look like managing a huge team or scaling to seven figures?In this episode, Allison sits down with copywriter and Cheeky Copy founder Laura Kendrick to pull back the curtain on building a business that's both wildly effective and intentionally small.Laura shares how she ditched the hustle, redefined success, and created a choose-your-own-adventure client experience that converts without chaos. If you've been craving simplicity without sacrificing sales, this episode will show you how to make it work your way.TAKEAWAYS:Laura redefined success from “just surviving” in the early days to now running a cozy, high-converting micro business that fits her life—without the pressure to scale big.Simplification became her theme: fewer offers, clearer messaging, and flexible containers (like her VIP days) that meet clients where they are.By focusing on her zone of genius—voice-driven copy and strategy—Laura creates trust-building offers that convert faster, especially in today's "trust recession."Marketing doesn't have to be complicated; when your backend is streamlined, selling becomes more about conversations and less about endless funnels.Knowing your ideal client and aligning every offer to serve them shortens the path to “yes”—and gives you the clarity to say “no” to everything else.RESOURCES:Check out the blog post that accompanies this episode for additional resourcesHang out with Laura over on InstagramVisit Laura on LinkedInTurn months of overwhelm into one day of DONE. I've got 3 spots left for my Beta Email Funnel VIP Day — you'll get a full nurture + pitch sequence done in one day. Grab your spot here.CONNECT WITH ALLISON: Follow Allison on Instagram DID YOU HAVE AN 'AH-HA MOMENT' WHILE LISTENING TO THIS EPISODE?If you found value and are ready to take action from listening to this episode, head to Apple Podcasts and help us reach new audiences by giving the podcast a rating and a review. This helps us to reach more online coaches who are creating a thriving 6-figure business. Music courtesy of www.bensound.com

Join hosts Lois Houston and Nikita Abraham, along with Principal AI/ML Instructor Himanshu Raj, as they discuss the transformative world of Generative AI. Together, they uncover the ways in which generative AI agents are changing the way we interact with technology, automating tasks and delivering new possibilities.   AI for You: https://mylearn.oracle.com/ou/course/ai-for-you/152601/252500   Oracle University Learning Community: https://education.oracle.com/ou-community   LinkedIn: https://www.linkedin.com/showcase/oracle-university/   X: https://x.com/Oracle_Edu   Special thanks to Arijit Ghosh, David Wright, Kris-Ann Nansen, Radhika Banka, and the OU Studio Team for helping us create this episode. ------------------------------------------------------- Episode Transcript: 00:00 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we'll bring you foundational training on the most popular Oracle technologies. Let's get started! 00:25 Lois: Welcome to the Oracle University Podcast! I'm Lois Houston, Director of Innovation Programs with Oracle University, and with me is Nikita Abraham, Team Lead of Editorial Services.   Nikita: Hi everyone! Last week was Part 2 of our conversation on core AI concepts, where we went over the basics of data science. In Part 3 today, we'll look at generative AI and gen AI agents in detail. To help us with that, we have Himanshu Raj, Principal AI/ML Instructor. Hi Himanshu, what's the difference between traditional AI and generative AI?  01:01 Himanshu: So until now, when we talked about artificial intelligence, we usually meant models that could analyze information and make decisions based on it, like a judge who looks at evidence and gives a verdict. And that's what we call traditional AI that's focused on analysis, classification, and prediction.  But with generative AI, something remarkable happens. Generative AI does not just evaluate. It creates. It's more like a storyteller who uses knowledge from the past to imagine and build something brand new. For example, instead of just detecting if an email is spam, generative AI could write an entirely new email for you.  Another example, traditional AI might predict what a photo contains. Generative AI, on the other hand, creates a brand-new photo based on description. Generative AI refers to artificial intelligence models that can create entirely new content, such as text, images, music, code, or video that resembles human-made work.  Instead of simple analyzing or predicting, generative AI produces something original that resembles what a human might create.   02:16 Lois: How did traditional AI progress to the generative AI we know today?  Himanshu: First, we will look at small supervised learning. So in early days, AI models were trained on small labeled data sets. For example, we could train a model with a few thousand emails labeled spam or not spam. The model would learn simple decision boundaries. If email contains, "congratulations," it might be spam. This was efficient for a straightforward task, but it struggled with anything more complex.  Then, comes the large supervised learning. As the internet exploded, massive data sets became available, so millions of images, billions of text snippets, and models got better because they had much more data and stronger compute power and thanks to advances, like GPUs, and cloud computing, for example, training a model on millions of product reviews to predict customer sentiment, positive or negative, or to classify thousands of images in cars, dogs, planes, etc.  Models became more sophisticated, capturing deeper patterns rather than simple rules. And then, generative AI came into the picture, and we eventually reached a point where instead of just classifying or predicting, models could generate entirely new content.  Generative AI models like ChatGPT or GitHub Copilot are trained on enormous data sets, not to simply answer a yes or no, but to create outputs that look and feel like human made. Instead of judging the spam or sentiment, now the model can write an article, compose a song, or paint a picture, or generate new software code.  03:55 Nikita: Himanshu, what motivated this sort of progression?   Himanshu: Because of the three reasons. First one, data, we had way more of it thanks to the internet, smartphones, and social media. Second is compute. Graphics cards, GPUs, parallel computing, and cloud systems made it cheap and fast to train giant models.  And third, and most important is ambition. Humans always wanted machines not just to judge existing data, but to create new knowledge, art, and ideas.   04:25 Lois: So, what's happening behind the scenes? How is gen AI making these things happen?  Himanshu: Generative AI is about creating entirely new things across different domains. On one side, we have large language models or LLMs.  They are masters of generating text conversations, stories, emails, and even code. And on the other side, we have diffusion models. They are the creative artists of AI, turning text prompts into detailed images, paintings, or even videos.  And these two together are like two different specialists. The LLM acts like a brain that understands and talks, and the diffusion model acts like an artist that paints based on the instructions. And when we connect these spaces together, we create something called multimodal AI, systems that can take in text and produce images, audio, or other media, opening a whole new range of possibilities.  It can not only take the text, but also deal in different media options. So today when we say ChatGPT or Gemini, they can generate images, and it's not just one model doing everything. These are specialized systems working together behind the scenes.  05:38 Lois: You mentioned large language models and how they power text-based gen AI, so let's talk more about them. Himanshu, what is an LLM and how does it work?  Himanshu: So it's a probabilistic model of text, which means, it tries to predict what word is most likely to come next based on what came before.  This ability to predict one word at a time intelligently is what builds full sentences, paragraphs, and even stories.  06:06 Nikita: But what's large about this? Why's it called a large language model?   Himanshu: It simply means the model has lots and lots of parameters. And think of parameters as adjustable dials the model fine tuned during learning.  There is no strict rule, but today, large models can have billions or even trillions of these parameters. And the more the parameters, more complex patterns, the model can understand and can generate a language better, more like human.  06:37 Nikita: Ok… and image-based generative AI is powered by diffusion models, right? How do they work?  Himanshu: Diffusion models start with something that looks like pure random noise.  Imagine static on an old TV screen. No meaningful image at all. From there, the model carefully removes noise step by step to create something more meaningful and think of it like sculpting a statue. You start with a rough block of stone and slowly, carefully you chisel away to reveal a beautiful sculpture hidden inside.  And in each step of this process, the AI is making an educated guess based on everything it has learned from millions of real images. It's trying to predict.   07:24 Stay current by taking the 2025 Oracle Fusion Cloud Applications Delta Certifications. This is your chance to demonstrate your understanding of the latest features and prove your expertise by obtaining a globally recognized certification, all for free! Discover the certification paths, use the resources on MyLearn to prepare, and future-proof your skills. Get started now at mylearn.oracle.com.  07:53 Nikita: Welcome back! Himanshu, for most of us, our experience with generative AI is with text-based tools like ChatGPT. But I'm sure the uses go far beyond that, right? Can you walk us through some of them?  Himanshu: First one is text generation. So we can talk about chatbots, which are now capable of handling nuanced customer queries in banking travel and retail, saving companies hours of support time. Think of a bank chatbot helping a customer understand mortgage options or virtual HR Assistant in a large company, handling leave request. You can have embedding models which powers smart search systems.  Instead of searching by keywords, businesses can now search by meaning. For instance, a legal firm can search cases about contract violations in tech and get semantically relevant results, even if those exact words are not used in the documents.  The third one, for example, code generation, tools like GitHub Copilot help developers write boilerplate or even functional code, accelerating software development, especially in routine or repetitive tasks. Imagine writing a waveform with just a few prompts.  The second application, is image generation. So first obvious use is art. So designers and marketers can generate creative concepts instantly. Say, you need illustrations for a campaign on future cities. Generative AI can produce dozens of stylized visuals in minutes.  For design, interior designers or architects use it to visualize room layouts or design ideas even before a blueprint is finalized. And realistic images, retail companies generate images of people wearing their clothing items without needing real models or photoshoots, and this reduces the cost and increase the personalization.  Third application is multimodal systems, and these are combined systems that take one kind of input or a combination of different inputs and produce different kind of outputs, or can even combine various kinds, be it text image in both input and output.  Text to image It's being used in e-commerce, movie concept art, and educational content creation. For text to video, this is still in early days, but imagine creating a product explainer video just by typing out the script. Marketing teams love this for quick turnarounds. And the last one is text to audio.  Tools like ElevenLabs can convert text into realistic, human like voiceovers useful in training modules, audiobooks, and accessibility apps. So generative AI is no longer just a technical tool. It's becoming a creative copilot across departments, whether it's marketing, design, product support, and even operations.  10:42 Lois: That's great! So, we've established that generative AI is pretty powerful. But what kind of risks does it pose for businesses and society in general?  Himanshu: The first one is deepfakes. Generative AI can create fake but highly realistic media, video, audios or even faces that look and sound authentic.  Imagine a fake video of a political leader announcing a policy, they never approved. This could cause mass confusion or even impact elections. In case of business, deepfakes can be also used in scams where a CEO's voice is faked to approve fraudulent transactions.  Number two, bias, if AI is trained on biased historical data, it can reinforce stereotypes even when unintended. For example, a hiring AI system that favors male candidates over equally qualified women because of historical data was biased.  And this bias can expose companies to discrimination, lawsuits, brand damage and ethical concerns. Number three is hallucinations. So sometimes AI system confidently generate information that is completely wrong without realizing it.   Sometimes you ask a chatbot for a legal case summary, and it gives you a very convincing but entirely made up court ruling. In case of business impact, sectors like health care, finance, or law hallucinations can or could have serious or even dangerous consequences if not caught.  The fourth one is copyright and IP issues, generative AI creates new content, but often, based on material it was trained on. Who owns a new work? A real life example could be where an artist finds their unique style was copied by an AI that was trained on their paintings without permission.  In case of a business impact, companies using AI-generated content for marketing, branding or product designs must watch for legal gray areas around copyright and intellectual properties. So generative AI is not just a technology conversation, it's a responsibility conversation. Businesses must innovate and protect.  Creativity and caution must go together.   12:50 Nikita: Let's move on to generative AI agents. How is a generative AI agent different from just a chatbot or a basic AI tool?  Himanshu: So think of it like a smart assistant, not just answering your questions, but also taking actions on your behalf. So you don't just ask, what's the best flight to Vegas? Instead, you tell the agent, book me a flight to Vegas and a room at the Hilton. And it goes ahead, understands that, finds the options, connects to the booking tools, and gets it done.   So act on your behalf using goals, context, and tools, often with a degree of autonomy. Goals, are user defined outcomes. Example, I want to fly to Vegas and stay at Hilton. Context, this includes preferences history, constraints like economy class only or don't book for Mondays.  Tools could be APIs, databases, or services it can call, such as a travel API or a company calendar. And together, they let the agent reason, plan, and act.   14:02 Nikita: How does a gen AI agent work under the hood?  Himanshu: So usually, they go through four stages. First, one is understands and interprets your request like natural language understanding. Second, figure out what needs to be done, in this case flight booking plus hotel search.  Third, retrieves data or connects to tools APIs if needed, such as Skyscanner, Expedia, or a Calendar. And fourth is takes action. That means confirming the booking and giving you a response like your travel is booked. Keep in mind not all gen AI agents are fully independent.  14:38 Lois: Himanshu, we've seen people use the terms generative AI agents and agentic AI interchangeably. What's the difference between the two?  Himanshu: Agentic AI is a broad umbrella. It refers to any AI system that can perceive, reason, plan, and act toward a goal and may improve and adapt over time.   Most gen AI agents are reactive, not proactive. On the other hand, agentic AI can plan ahead, anticipate problems, and can even adjust strategies.  So gen AI agents are often semi-autonomous. They act in predefined ways or with human approval. Agentic systems can range from low to full autonomy. For example, auto-GPT runs loops without user prompts and autonomous car decides routes and reactions.  Most gen AI agents can only make multiple steps if explicitly designed that way, like a step-by-step logic flows in LangChain. And in case of agentic AI, it can plan across multiple steps with evolving decisions.  On the memory and goal persistence, gen AI agents are typically stateless. That means they forget their goal unless you remind them. In case of agentic AI, these systems remember, adapt, and refine based on goal progression. For example, a warehouse robot optimizing delivery based on changing layouts.  Some generative AI agents are agentic, like auto GPT. They use LLMs to reason, plan, and act, but not all. And likewise not all agentic AIs are generative. For example, an autonomous car, which may use computer vision control systems and planning, but no generative models.  So agentic AI is a design philosophy or system behavior, which could be goal-driven, autonomous, and decision making. They can overlap, but as I said, not all generative AI agents are agentic, and not all agentic AI systems are generative.  16:39 Lois: What makes a generative AI agent actually work?  Himanshu: A gen AI agent isn't just about answering the question. It's about breaking down a user's goal, figuring out how to achieve it, and then executing that plan intelligently. These agents are built from five core components and each playing a critical role.  The first one is goal. So what is this agent trying to achieve? Think of this as the mission or intent. For example, if I tell the agent, help me organized a team meeting for Friday. So the goal in that case would be schedule a meeting.  Number 2, memory. What does it remember? So this is the agent's context awareness. Storing previous chats, preferences, or ongoing tasks. For example, if last week I said I prefer meetings in the afternoon or I have already shared my team's availability, the agent can reuse that. And without the memory, the agent behaves stateless like a typical chatbot that forgets context after every prompt.  Third is tools. What can it access? Agents aren't just smart, they are also connected. They can be given access to tools like calendars, CRMs, web APIs, spreadsheets, and so on.  The fourth one is planner. So how does it break down the goal? And this is where the reasoning happens. The planner breaks big goals into a step-by-step plans, for example checking team availability, drafting meeting invite, and then sending the invite. And then probably, will confirm the booking. Agents don't just guess. They reason and organize actions into a logical path.  And the fifth and final one is executor, who gets it done. And this is where the action takes place. The executor performs what the planner lays out. For example, calling APIs, sending message, booking reservations, and if planner is the architect, executor is the builder.   18:36 Nikita: And where are generative AI agents being used?  Himanshu: Generative AI agents aren't just abstract ideas, they are being used across business functions to eliminate repetitive work, improve consistency, and enable faster decision making. For marketing, a generative AI agent can search websites and social platforms to summarize competitor activity. They can draft content for newsletters or campaign briefs in your brand tone, and they can auto-generate email variations based on audience segment or engagement history.  For finance, a generative AI agent can auto-generate financial summaries and dashboards by pulling from ERP spreadsheets and BI tools. They can also draft variance analysis and budget reports tailored for different departments. They can scan regulations or policy documents to flag potential compliance risks or changes.  For sales, a generative AI agent can auto-draft personalized sales pitches based on customer behavior or past conversations. They can also log CRM entries automatically once submitting summary is generated. They can also generate battlecards or next-step recommendations based on the deal stage.  For human resource, a generative AI agent can pre-screen resumes based on job requirements. They can send interview invites and coordinate calendars. A common theme here is that generative AI agents help you scale your teams without scaling the headcount.   20:02 Nikita: Himanshu, let's talk about the capabilities and benefits of generative AI agents.  Himanshu: So generative AI agents are transforming how entire departments function. For example, in customer service, 24/7 AI agents handle first level queries, freeing humans for complex cases.  They also enhance the decision making. Agents can quickly analyze reports, summarize lengthy documents, or spot trends across data sets. For example, a finance agent reviewing Excel data can highlight cash flow anomalies or forecast trends faster than a team of analysts.  In case of personalization, the agents can deliver unique, tailored experiences without manual effort. For example, in marketing, agents generate personalized product emails based on each user's past behavior. For operational efficiency, they can reduce repetitive, low-value tasks. For example, an HR agent can screen hundreds of resumes, shortlist candidates, and auto-schedule interviews, saving HR team hours each week.  21:06 Lois: Ok. And what are the risks of using generative AI agents?  Himanshu: The first one is job displacement. Let's be honest, automation raises concerns. Roles involving repetitive tasks such as data entry, content sorting are at risk. In case of ethics and accountability, when an AI agent makes a mistake, who is responsible? For example, if an AI makes a biased hiring decision or gives incorrect medical guidance, businesses must ensure accountability and fairness.  For data privacy, agents often access sensitive data, for example employee records or customer history. If mishandled, it could lead to compliance violations. In case of hallucinations, agents may generate confident but incorrect outputs called hallucinations. This can often mislead users, especially in critical domains like health care, finance, or legal.  So generative AI agents aren't just tools, they are a force multiplier. But they need to be deployed thoughtfully with a human lens and strong guardrails. And that's how we ensure the benefits outweigh the risks.  22:10 Lois: Thank you so much, Himanshu, for educating us. We've had such a great time with you! If you want to learn more about the topics discussed today, head over to mylearn.oracle.com and get started on the AI for You course.  Nikita: Join us next week as we chat about AI workflows and tools. Until then, this is Nikita Abraham…  Lois: And Lois Houston signing off!  22:32 That's all for this episode of the Oracle University Podcast. If you enjoyed listening, please click Subscribe to get all the latest episodes. We'd also love it if you would take a moment to rate and review us on your podcast app. See you again on the next episode of the Oracle University Podcast.  

“We should always test rigorously new innovation before putting it out in the wild to ensure stability.” “You can't really go after the really big things that you want to achieve if you don't get the small things right.” “One way to think about generosity is about exceeding, you know, expectations of what you're supposed to do and doing things over and above what you're supposed to do.”   Episode summary | In this episode of the ROG Return on Generosity podcast, host Shannon Cassidy interviews Kenon Chen, Executive Vice President of Strategy and Growth at Clear Capital. Kenon shares his unique journey that intertwines music and technology, emphasizing the importance of generous leadership and company culture. He discusses how Clear Capital aims to empower confident real estate decisions and the role of AI in the industry. The conversation also touches on networking with a generous spirit and the legacy Kenon hopes to leave for future leaders.   R.O.G. Takeaway Tips | Kenon Chen emphasizes the importance of a generous company culture. Generosity in leadership involves exceeding expectations. Networking should focus on genuine connections, not just transactional relationships. Empathy is a crucial leadership value in times of change. AI can help remove mundane tasks in the housing finance industry. Kenon believes in the power of music to inspire and energize. Leadership is about being authentic and true to oneself. Creating space for others to grow is essential in leadership. The future of real estate will be shaped by technology and human connection.   Chapters |  00:00 Introduction to Keenan Chen and Clear Capital 03:35 Keenan's Journey: From Music to Technology 05:52 The Intersection of Art and Leadership 08:44 Defining Generous Leadership 11:55 Culture of Generosity in Action 13:55 Networking with a Generous Spirit 19:49 Understanding Clear Capital's Mission 22:10 Practicing Generosity in Leadership 26:11 Legacy and Future Aspirations 27:49 Navigating Disruption: Thriving in a Changing Landscape 28:28 The Human Element in AI: Embracing Change 32:00 Reframing the Narrative: AI as a Catalyst for Growth 34:59 Empathy and Innovation: Balancing Change with Stability 37:09 The Role of AI in Housing Finance: A Vision for the Future 39:33 Authenticity in Leadership: Lessons Learned 41:27 Rapid Fire Insights: Personal Preferences and Reflections   Guest Bio | Kenon Chen, EVP of Strategy and Growth for Clear Capital, embodies the company's mission of building confidence in real estate decisions to strengthen communities and improve lives. In his current role, Chen sits at the intersection of Clear Capital's executive, product, marketing, and sales teams, guiding growth and ensuring the delivery of consistent and long-term value to customers and partners alike.    His curiosity and entrepreneurial focus on intuitive, people-first solutions have brought financial technologies to market that have transformed the valuation space. As the industry continues to evolve, Chen remains at the forefront of solutions-driven conversations centered around holistic modernization and innovation – including the role of artificial intelligence (AI) and how to incorporate it into housing finance strategically.    His dedication in these areas has earned him a regular column in HousingWire, a seat at the table on Business Insider's Workforce Innovation Board, a role as Team Lead in the FHFA Tech Sprint in 2023 and 2024, and speaking slots at prestigious industry conferences across the U.S. Prior to Clear Capital, Chen honed his engineering and tech leadership skills in San Francisco as a director of technology for Roundpeg. He was introduced to the mortgage industry in the early 2000s leading tech projects for a large lender. Chen has been a crucial member of Clear Capital's leadership team for more than 20 years.   Guest Resources:  https://www.clearcapital.com/company/about-clear-capital/   Bridge Between Resources: 5 Degree Change Course Free N.D.I. Network Diversity Index  Free Generosity Quiz    Credits: Kenon Chen, Host Shannon Cassidy, Bridge Between, Inc. Coming Next: Please join us in two weeks, Episode 244, Special Guest, Gemma Toner.

In this episode, hosts Lois Houston and Nikita Abraham, together with Senior Cloud Engineer Nick Commisso, break down the basics of artificial intelligence (AI). They discuss the differences between Artificial General Intelligence (AGI) and Artificial Narrow Intelligence (ANI), and explore the concepts of machine learning, deep learning, and generative AI. Nick also shares examples of how AI is used in everyday life, from navigation apps to spam filters, and explains how AI can help businesses cut costs and boost revenue.   AI for You: https://mylearn.oracle.com/ou/course/ai-for-you/152601/252500   Oracle University Learning Community: https://education.oracle.com/ou-community   LinkedIn: https://www.linkedin.com/showcase/oracle-university/   X: https://x.com/Oracle_Edu   Special thanks to Arijit Ghosh, David Wright, Kris-Ann Nansen, Radhika Banka, and the OU Studio Team for helping us create this episode. ----------------------------------------------------------- Episode Transcript: 00:00 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we'll bring you foundational training on the most popular Oracle technologies. Let's get started! 00:25 Nikita: Hello and welcome to the Oracle University Podcast. I'm Nikita Abraham, Team Lead of Editorial Services with Oracle University, and with me is Lois Houston, Director of Innovation Programs. Lois: Hi everyone! Welcome to a new season of the podcast. I'm so excited about this one because we're going to dive into the world of artificial intelligence, speaking to many experts in the field. Nikita: If you've been listening to us for a while, you probably know we've covered AI from a bunch of different angles. But this time, we're dialing it all the way back to basics. We wanted to create something for the absolute beginner, so no jargon, no assumptions, just simple conversations that anyone can follow. 01:08 Lois: That's right, Niki. You don't need to have a technical background or prior experience with AI to get the most out of these episodes. In our upcoming conversations, we'll break down the basics of AI, explore how it's shaping the world around us, and understand its impact on your business. Nikita: The idea is to give you a practical understanding of AI that you can use in your work, especially if you're in sales, marketing, operations, HR, or even customer service.  01:37 Lois: Today, we'll talk about the basics of AI with Senior Cloud Engineer Nick Commisso. Hi Nick! Welcome back to the podcast. Can you tell us about human intelligence and how it relates to artificial intelligence? And within AI, I know we have Artificial General Intelligence, or AGI, and Artificial Narrow Intelligence, or ANI. What's the difference between the two? Nick: Human intelligence is the intellectual capability of humans that allow us to learn new skills through observation and mental digestion, to think through and understand abstract concepts and apply reasoning, to communicate using language and understand non-verbal cues, such as facial expressions, tone variation, body language. We can handle objections and situations in real time, even in a complex setting. We can plan for short and long-term situations or projects. And we can create music, art, or invent something new or have original ideas. If machines can replicate a wide range of human cognitive abilities, such as learning, reasoning, or problem solving, we call it artificial general intelligence.  Now, AGI is hypothetical for now, but when we apply AI to solve problems with specific, narrow objectives, we call it artificial narrow intelligence, or ANI. AGI is a hypothetical AI that thinks like a human. It represents the ultimate goal of artificial intelligence, which is a system capable of chatting, learning, and even arguing like us. If AGI existed, it would take the form like a robot doctor that accurately diagnoses and comforts patients, or an AI teacher that customizes lessons in real time based on each student's mood, pace, and learning style, or an AI therapist that comprehends complex emotions and provides empathetic, personalized support. ANI, on the other hand, focuses on doing one thing really well. It's designed to perform specific tasks by recognizing patterns and following rules, but it doesn't truly understand or think beyond its narrow scope. Think of ANI as a specialist. Your phone's face ID can recognize you instantly, but it can't carry on a conversation. Google Maps finds the best route, but it can't write you a poem. And spam filters catch junk mail, but it can't make you coffee. So, most of the AI you interact with today is ANI. It's smart, efficient, and practical, but limited to specific functions without general reasoning or creativity. 04:22 Nikita: Ok then what about Generative AI?  Nick: Generative AI is a type of AI that can produce content such as audio, text, code, video, and images. ChatGPT can write essays, but it can't fact check itself. DALL-E creates art, but it doesn't actually know if it's good. Or AI song covers can create deepfakes like Drake singing "Baby Shark."  04:47 Lois: Why should I care about AI? Why is it important? Nick: AI is already part of your everyday life, often working quietly in the background. ANI powers things like navigation apps, voice assistants, and spam filters. Generative AI helps create everything from custom playlists to smart writing tools. And while AGI isn't here yet, it's shaping ideas about what the future might look like. Now, AI is not just a buzzword, it's a tool that's changing how we live, work, and interact with the world. So, whether you're using it or learning about it or just curious, it's worth knowing what's behind the tech that's becoming part of everyday life.  05:32 Lois: Nick, whenever people talk about AI, they also throw around terms like machine learning and deep learning. What are they and how do they relate to AI? Nick: As we shared earlier, AI is the ability of machines to imitate human intelligence. And Machine Learning, or ML, is a subset of AI where the algorithms are used to learn from past data and predict outcomes on new data or to identify trends from the past. Deep Learning, or DL, is a subset of machine learning that uses neural networks to learn patterns from complex data and make predictions or classifications. And Generative AI, or GenAI, on the other hand, is a specific application of DL focused on creating new content, such as text, images, and audio, by learning the underlying structure of the training data.  06:24 Nikita: AI is often associated with key domains like language, speech, and vision, right? So, could you walk us through some of the specific tasks or applications within each of these areas? Nick: Language-related AI tasks can be text related or generative AI. Text-related AI tasks use text as input, and the output can vary depending on the task. Some examples include detecting language, extracting entities in a text, extracting key phrases, and so on.  06:54 Lois: Ok, I get you. That's like translating text, where you can use a text translation tool, type your text in the box, choose your source and target language, and then click Translate. That would be an example of a text-related AI task. What about generative AI language tasks? Nick: These are generative, which means the output text is generated by the model. Some examples are creating text, like stories or poems, summarizing texts, and answering questions, and so on. 07:25 Nikita: What about speech and vision? Nick: Speech-related AI tasks can be audio related or generative AI. Speech-related AI tasks use audio or speech as input, and the output can vary depending on the task. For example, speech to text conversion, speaker recognition, or voice conversion, and so on. Generative AI tasks are generative, i.e., the output audio is generated by the model (for example, music composition or speech synthesis). Vision-related AI tasks can be image related or generative AI. Image-related AI tasks use an image as the input, and the output depends on the task. Some examples are classifying images or identifying objects in an image. Facial recognition is one of the most popular image-related tasks that's often used for surveillance and tracking people in real time. It's used in a lot of different fields, like security and biometrics, law enforcement, entertainment, and social media. For generative AI tasks, the output image is generated by the model. For example, creating an image from a textual description or generating images of specific style or high resolution, and so on. It can create extremely realistic new images and videos by generating original 3D models of objects, such as machine, buildings, medications, people and landscapes, and so much more. 08:58 Lois: This is so fascinating. So, now we know what AI is capable of. But Nick, what is AI good at? Nick: AI frees you to focus on creativity and more challenging parts of your work. Now, AI isn't magic. It's just very good at certain tasks. It handles work that's repetitive, time consuming, or too complex for humans, like processing data or spotting patterns in large data sets.  AI can take over routine tasks that are essential but monotonous. Examples include entering data into spreadsheets, processing invoices, or even scheduling meetings, freeing up time for more meaningful work. AI can support professionals by extending their abilities. Now, this includes tools like AI-assisted coding for developers, real-time language translation for travelers or global teams, and advanced image analysis to help doctors interpret medical scans much more accurately. 10:00 Nikita: And what would you say is AI's sweet spot? Nick: That would be tasks that are both doable and valuable. A few examples of tasks that are feasible technically and have business value are things like predicting equipment failure. This saves downtime and the loss of business. Call center automation, like the routing of calls to the right person. This saves time and improves customer satisfaction. Document summarization and review. This helps save time for busy professionals. Or inspecting power lines. Now, this task is dangerous. By automating it, it protects human life and saves time. 10:48 Oracle University's Race to Certification 2025 is your ticket to free training and certification in today's hottest tech. Whether you're starting with Artificial Intelligence, Oracle Cloud Infrastructure, Multicloud, or Oracle Data Platform, this challenge covers it all! Learn more about your chance to win prizes and see your name on the Leaderboard by visiting education.oracle.com/race-to-certification-2025. That's education.oracle.com/race-to-certification-2025. 11:30 Nikita: Welcome back! Now one big way AI is helping businesses today is by cutting costs, right? Can you give us some examples of this?  Nick: Now, AI can contribute to cost reduction in several key areas. For instance, chatbots are capable of managing up to 50% of customer queries. This significantly reduces the need for manual support, thereby lowering operational costs. AI can streamline workflows, for example, reducing invoice processing time from 10 days to just 1 hour. This leads to substantial savings in both time and resources. In addition to cost savings, AI can also support revenue growth. One way is enabling personalization and upselling. Platforms like Netflix use AI-driven recommendation systems to influence user choices. This not only enhances the user experience, but it also increases the engagement and the subscription revenue. Or unlocking new revenue streams. AI technologies, such as generative video tools and virtual influencers, are creating entirely new avenues for advertising and branded content, expanding business opportunities in emerging markets. 12:50 Lois: Wow, saving money and boosting bottom lines. That's a real win! But Nick, how is AI able to do this?  Nick: Now, data is what teaches AI. Just like we learn from experience, so does AI. It learns from good examples, bad examples, and sometimes even the absence of examples. The quality and variety of data shape how smart, accurate, and useful AI becomes. Imagine teaching a kid to recognize animals using only pictures of squirrels that are labeled dogs. That would be very confusing at the dog park. AI works the exact same way, where bad data leads to bad decisions. With the right data, AI can be powerful and accurate. But with poor or biased data, it can become unreliable and even misleading.  AI amplifies whatever you feed it. So, give it gourmet data, not data junk food. AI is like a chef. It needs the right ingredients. It needs numbers for predictions, like will this product sell? It needs images for cool tricks like detecting tumors, and text for chatting, or generating excuses for why you'd be late. Variety keeps AI from being a one-trick pony. Examples of the types of data are numbers, or machine learning, for predicting things like the weather. Text or generative AI, where chatbots are used for writing emails or bad poetry. Images, or deep learning, can be used for identifying defective parts in an assembly line, or an audio data type to transcribe a dictation from a doctor to a text. 14:35 Lois: With so much data available, things can get pretty confusing, which is why we have the concept of labeled and unlabeled data. Can you help us understand what that is? Nick: Labeled data are like flashcards, where everything has an answer. Spam filters learned from emails that are already marked as junk, and X-rays are marked either normal or pneumonia. Let's say we're training AI to tell cats from dogs, and we show it a hundred labeled pictures. Cat, dog, cat, dog, etc. Over time, it learns, hmm fluffy and pointy ears? That's probably a cat. And then we test it with new pictures to verify. Unlabeled data is like a mystery box, where AI has to figure it out itself. Social media posts, or product reviews, have no labels. So, AI clusters them by similarity. AI finding trends in unlabeled data is like a kid sorting through LEGOs without instructions. No one tells them which blocks will go together.  15:36 Nikita: With all the data that's being used to train AI, I'm sure there are issues that can crop up too. What are some common problems, Nick? Nick: AI's performance depends heavily on the quality of its data. Poor or biased data leads to unreliable and unfair outcomes. Dirty data includes errors like typos, missing values, or duplicates. For example, an age record as 250, or NA, can confuse the AI. And a variety of data cleaning techniques are available, like missing data can be filled in, or duplicates can be removed. AI can inherit human prejudices if the data is unbalanced. For example, a hiring AI may favor one gender if the past three hires were mostly male. Ensuring diverse and representative data helps promote fairness. Good data is required to train better AI. Data could be messy, and needs to be processed before to train AI. 16:39 Nikita: Thank you, Nick, for sharing your expertise with us. To learn more about AI, go to mylearn.oracle.com and search for the AI for You course. As you complete the course, you'll find skill checks that you can attempt to solidify your learning.  Lois: In our next episode, we'll dive deep into fundamental AI concepts and terminologies. Until then, this is Lois Houston… Nikita: And Nikita Abraham signing off! 17:05 That's all for this episode of the Oracle University Podcast. If you enjoyed listening, please click Subscribe to get all the latest episodes. We'd also love it if you would take a moment to rate and review us on your podcast app. See you again on the next episode of the Oracle University Podcast.

In dieser Folge des "Inside Medien Podcasts" spreche ich mit Thomas Becht - Teamlead für „Formatentwicklung & Innovation“ beim Bayerischen Rundfunk und Content-Stratege für die ARD-Mediathek. Thomas ist einer der kreativen Köpfe hinter neuen Formaten und digitalen Entwicklungen beim BR. Im Gespräch teilt er seinen persönlichen Weg in die Medienbranche, spricht über sein Volontariat beim BR und erklärt, warum er sich gegen den Sportjournalismus und für die Formatentwicklung entschieden hat. Dabei gibt er spannende Einblicke in seinen Arbeitsalltag. Außerdem spricht Thomas über Learnings aus seiner bisherigen Laufbahn und gibt Tipps für alle, die den Einstieg in den Journalismus oder die Medienwelt suchen - yeah! Alles Liebe, Lisabell --- Podcast auf Instagram: @insidemedien ---Host - Lisabell Shewafera: Auf Instagram: @febenlisabell Auf LinkedIn: Lisabell Shewafera Anfragen gerne an lisabellshewafera@gmail.com

In this episode of In the Passenger's Seat, host Matt Mitteldorfer sits down with Charlie Cluss, a key leader in ACV's Research & Development team. Charlie shares his unique journey from working in the field as a Vehicle Condition Inspector (VCI) at ACV to now building the very technology our VCIs use to inspect and assess vehicles.Matt and Charlie explore how innovation is reshaping wholesale automotive — from smarter inspections and more accurate condition reports to using data to confidently price a car. They also look ahead at what's coming next in automotive tech and how ACV is staying ahead of the curve.Whether you're a gearhead, a tech lover, or just curious about the future of the industry, this one's for you.

Trish Riswick is a seasoned social media strategist and Team Lead at Hootsuite, where she oversees the company's social media marketing efforts. With over seven years of diverse experience—from freelancing and managing small business accounts to consulting and working at the enterprise level—she brings a deep understanding of what makes social strategies succeed.At Hootsuite, Trish plays a key role in bringing marketing campaigns to life across six social channels. She collaborates closely with the video and brand teams to deliver creative, out-of-the-box ideas to their audience. She also leads the development of Hootsuite's social listening and engagement strategies, helping the brand stay ahead of online conversations. Over the past three years, she has helped cultivate a thriving online community of more than nine million followers.Check out their newsletter The PerchHootsuite's latest innovation, OwlyGPT, launched this week

In this episode, Coalmarch's Janelle Lucas digs into the top marketing missteps made by pest and lawn companies. From ignoring local SEO to under-investing in branding, she uncovers what successful operators are doing differently.    Guest: Janelle Lucas, Team Lead, Client Success, Coalmarch   Hosts:  Dan Gordon, PCO Bookkeepers & M&A Specialists Donnie Shelton, Triangle Home Services

Get in touch!In this episode of Pricing Heroes, we speak with Corina Manea, Vice President of Commercial at flaconi, Germany's leading online beauty retailer. Corina shares her journey from Team Lead of Pricing to VP, and how she helped flaconi evolve from manual pricing processes to AI-powered optimization. She explains what makes pricing in luxury beauty so complex, how flaconi balances speed with strategic control, and why pricing teams are uniquely positioned to drive commercial transformation.Key Topics:Career development across pricing and commercial functionsBuilding pricing maturity — from spreadsheets to scalable systemsBalancing pricing agility with brand integrity in beauty retailExperimentation, cross-functional collaboration, and internal advocacyHow WeCommerce culture fuels pricing and team growthRecommended Resources:Predictably Irrational by Dan ArielyConnect with Corina Manea:LinkedIn: https://www.linkedin.com/in/corina-manea-831b9493/----------Get your free copy of Get Ready for the Future Of Pricing with our A-Z Guide.You can access all of our Pricing Heroes episodes featuring our interviews with retail pricing experts at https://competera.ai/resources/pricing-heroes.Interested in joining a dynamic community of pricing experts? Check out the Retail Pricing Community on LinkedIn, where you will find a community of professionals sharing their expertise and discussing the latest trends.For more information about AI pricing solutions, visit Competera.ai.

FREE TINA PETERS "SELECTION CODE" THE REAL STORYIn today's Take Your Power Back Show, Kim Yeater and "We The People" honor Tina Peters and stand together for her release from prison as we present the real story, "Selection Code."ATTENTION PRESIDENT TRUMP & CABINETWe urge you to take all possible actions within your authority to support the release of Tina Peters, a Gold Star Mom and former Mesa County Clerk, who is currently incarcerated following her efforts to uphold America's election integrity.  -We The PeopleKIM YEATER -TAKE YOUR POWER BACK SHOW HOST & TAKE OUR BORDER BACK CO-FOUNDER & TEAM LEAD:https://KimYeater.comhttps://www.TakeYourPowerBackShow.comRumble:  https://rumble.com/c/TakeYourPowerBackShowLiveStream:   https://rumble.com/TakeYourPowerBackShow/live X @realkimyeaterFB kimberlyyeater & TakeyourpowerbackshowIG Takeyourpowerback_kimyeaterT takeyourpowerbackshowTake Our Border Backhttps://TakeOurBorderBack. Com (don't connect the .com on FB & IG or they will shadow band)https://rumble.com/c/TakeOurBorderBackX @TobbconvoymainX @TobbconvoycaliforniaX @TobbconvoyarizonaX @TobbconvoytexasTOGETHER WE WILL TAKE OUR COUNTRY BACK!!!

In this episode, we unpack the 3 E's of Team Leads—a simple yet powerful framework built around three E's: Example, Execute, and Experience.Whether you're a dental assistant, front desk lead, or hygienist stepping into leadership, this episode breaks down what it really means to lead without a title. You'll learn how being a calm, competent example, carrying out the vision of your leadership team, and creating a positive experience for both coworkers and patients can elevate your entire practice.We also explore the unique role team leads play as the bridge between leadership and day-to-day operations.Through practical stories and insights, we'll show how consistency, communication, and presence—not position—are what make someone truly influential on a dental team.Music from #Uppbeat (free for Creators!): https://uppbeat.io/t/matrika/funk-style - License code: KUYOIZCBFCF1FOMP https://uppbeat.io/t/roo-walker/bolt - License code: RS1AU6Y5DGD5A3H8.

"Strategic planning is creating certainty in an uncertain world." – Tim Fulton Strategic planning is essential for success in any business, yet many companies either overlook or struggle with the process. In this episode, Trace Blackmore welcomes back Tim Fulton, President of Small Business Matters, to explore the fundamentals of strategic planning and how businesses can chart their course for success.   Tim shares insights on why strategic planning matters, how to involve the right people, and how to create a plan that actually works. Whether you're a business owner, manager, or part of a team, this episode provides valuable takeaways to help you navigate uncertainty, set clear objectives, and execute effectively. Why Strategic Planning is Critical Strategic planning helps businesses stay focused in an unpredictable world. By analyzing past performance, assessing the present, and setting future goals, companies can adapt to changing markets, industry trends, and emerging technologies like AI. Who Should Be Involved in Strategic Planning? Successful planning requires input from leaders and key employees at different levels. Involving the right people fosters collaboration, avoids blind spots, and ensures that the plan is practical and actionable, rather than created in isolation. The SWOT Analysis: A Tool for Understanding Your Business A SWOT analysis (Strengths, Weaknesses, Opportunities, and Threats) helps businesses understand their position. Identifying strengths and weaknesses within the company, along with external opportunities and threats, provides a clearer strategy for growth and risk management. Executing the Plan & Measuring Success A strategic plan is only effective if it's executed properly. Setting SMART goals (Specific, Measurable, Achievable, Relevant, Time-bound) ensures clarity, while quarterly reviews and color-coded tracking (Green, Yellow, Red) help teams monitor progress. Methods like the 12-Week Year and OKRs (Objectives & Key Results) keep businesses on track and accountable. Why Having a Third-Party Facilitator Can Make a Difference An outside facilitator brings an objective perspective, helping businesses stay focused and engaged during planning. Leaders who try to both facilitate and participate often struggle to balance these roles. Involving an expert improves discussions and strengthens team buy-in. Common Mistakes in Strategic Planning & How to Avoid Them Many businesses fail in strategic planning due to poor communication, lack of follow-through, and ignoring potential risks. A strong plan must be actively maintained throughout the year to ensure long-term success. Tim Fulton joined Trace Blackmore to deliver essential insights into strategic planning, emphasizing clarity, involvement, accountability, and the power of facilitation. This episode challenges listeners to create meaningful strategies, fostering organizational resilience and success in any environment. Stay engaged, keep learning, and continue scaling up your knowledge!   Timestamps    3:00 – Trace Blackmore encourages listeners to help spread the word about Scaling UP! H2O Podcast by sharing it with their colleagues and network 07:00 – Upcoming Events for Water Treatment Professionals 09:12 – Water You Know with James McDonald 11:00 – Interview starts: Welcoming back Tim Fulton 13:12 – What is Strategic Planning? 15:44 – Who should be involved in Strategic Planning? 23:22 – Why should companies strategically plan 34:58 – Best time for strategic planning 40:00 – Objective and Key Results (OKRs) explained   Quotes  "No weigh-in equals no buy-in.” - Patrick Lencioni, quoted by Trace “Fear is the biggest obstacle preventing businesses from strategic planning.” - Tim Fulton “Not having a plan is a plan for failure.” - Trace Blackmore “Doing strategic planning without a facilitator is like being quarterback and referee at the same time.” - Tim Fulton Connect with Tim Fulton Phone: (678) 427- 9436 Email: timfulton@hotmail.com Website: smallbusinessmattersonline.com LinkedIn: https://www.linkedin.com/in/timcfulton/  Click HERE to Download Episode's Discussion Guide     Guest Resources Mentioned The Meeting by Tim Fulton Measure What Matters by John Doerr Traction by Gino Wickman    Scaling UP! H2O Resources Mentioned AWT (Association of Water Technologies) Scaling UP! H2O Academy video courses Submit a Show Idea The Rising Tide Mastermind 022 The One with Tim Fulton   280 The One About Retaining Top Talent   289 The One About A SWOT Analysis with A Twist   368 Adapting to the New Workforce: Attracting Top Talent 164 The One With Chris McChesney What the Heck Is EOS? A Complete Guide for Employees in Companies Running on EOS by Gino Wickman   The 12 Week Year   The Five Dysfunctions of a Team by Patrick Lencioni Water You Know with James McDonald  Question: What do you call the attraction of water molecules to each other that gives water its unique properties, such as a high surface tension, high boiling point, and ability to dissolve many substances?   2025 Events for Water Professionals Check out our Scaling UP! H2O Events Calendar where we've listed every event Water Treaters should be aware of by clicking HERE.  

Learn more about Michael Wenderoth, Executive Coach: www.changwenderoth.comIt would be great if our strong grades and work history spoke for itself and got us in to highly selective organizations. Unfortunately, admission is 25% subjective and not a reward for past achievement, says Candace Gonzales Tumey, Senior MBA Admission Prep Coach and Team Lead at MLT (Management Leadership for Tomorrow). In this episode of 97% Effective, Coach Candace shares 3 secrets to getting into elite business schools, drawing from her work with top talent at MLT and more than a decade in admissions at the University of California at Berkeley. Candace and host Michael Wenderoth discuss how to talk about your accomplishments without bragging, where most people fail in their networking, and overcoming the #1 challenge for candidates from underrepresented groups. You'll leave this episode with practical, underappreciated strategies to navigate any highly competitive selection process.SHOW NOTES:Rural Virginia, her grandmother and Maria: Why Candace does what she doesCandace's Hard Truth #1: Admissions is 25% Subjective“Luck favors the prepared”Candace's Hard Truth #2: Admission is not a reward for what you've doneWhat does success look like for you?MLT's mission – and why highly qualified talent from underrepresented groups benefit from their supportUnderappreciated Secret #1 to getting in: Your application is a conversationHow to understand what a school seeksYou're still the same person, but shine a spotlight on the aspect that best fits the schoolTalking about yourself without feeling icky: Speak to inform but not to impressUnderappreciated Secret #2 to getting in: Network with the Institution to better understand“Apply with the door open, not with the door closed”Underappreciated Secret #3 to getting in: Consistency over Intensity“You can't be what you can't see”: Talk to people who have been through the process!Are the 3 secrets universally applicable to anyone, not just underrepresented groups?The two sides of imposter syndromeThe #1 thing you can do if you feel imposter syndromeCandace shares the limits of her own knowledgeBreaking rules and your appetite for riskHow AI can help us get in to highly competitive environments – and where to be careful with itBIO AND LINKS:Candace Gonzales Tumey is Senior Coach and Team Lead at Management Leadership for Tomorrow (MLT). Prior to MLT, she served 14 years in undergraduate and graduate admissions, including at the Haas School of Business at UC Berkeley as an Associate Director of Admissions. At MLT, she has coached over 200 applicants, 40% of whom are currently at or graduated from the top 3 business schools in the USA. Candace holds a Ph.D. in Social Psychology from the University of Southen California (USC). LinkedIn: https://www.linkedin.com/in/candace-gonzales-tumey-7b9624120/MLT: https://mlt.orgSasha Kelemen, University of Virgina Darden & MLT alum: https://tinyurl.com/y9r97xuwDavid Harris, Stanford Business School & MLT alum: https://tinyurl.com/5de67m32Start with Why (Sinek): https://www.youtube.com/watch?v=u4ZoJKF_VuAThink Fast, Talk Smart podcast on Communication (Matt Abrahams): https://www.fastersmarter.ioZoom Like a Voice Actor, with Claire Fry: https://www.vocalconfidencetraining.comJohn Rice (MLT Founder) speaks to trends in top business schools admissions (Bloomberg): https://tinyurl.com/7asx9p58HBR Article “Stop Tellling Women They Have Imposter Syndrome”: https://tinyurl.com/ykzt838mMichael's book, Get Promoted: What Your Really Missing at Work That's Holding You Back https://tinyurl.com/453txk74Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Real estate is a nonstop grind—constantly chasing leads, competing with countless agents, and struggling to differentiate yourself. When every listing feels like a battle for attention, it's easy to get stuck in a cycle of frustration. The agents who break through don't just sell homes—they build trust, create memorable client experiences, and position themselves as the go-to expert. Standing out isn't about working harder; it's about working smarter and making every interaction count. Randy Dyck is the team lead of eXp Realty and a seasoned real estate coach with 33 years of experience and an impressive track record of selling 7,000 homes. Based near Vancouver, he specializes in helping real estate professionals grow their businesses through his unique "Scientific Scaling Systems" coaching program. Randy is currently writing a book titled "Underdog DNA" and hosts the "Return on Life" podcast. Today, Randy Dick discussed his approach to real estate success, emphasizing the importance of finding one's unique strengths, understanding ideal client avatars, and building strategic "commission rivers" to attract clients naturally. Stay tuned! Resources Randy Dyck: Top Producing Real Estate Agent eXp Realty: With eXp, Possibility Becomes Reality Connect with Randy Dyck on LinkedIn Listen to the Return On Life Podcast hosted by Randy Dyck on Apple Podcasts

Dulce Venancio | Green Coffee Team Lead by Cat & Cloud