Podcasts about Adoption

Click here to send us a topic idea or question for Weekend Wisdom.Question: When you are preparing your taxes and working out how to maximize this credit and get that $5,000 back, you might find that you want a tax professional to guide you through the filing process. How do you find a qualified, reputable tax specialist who can handle your claim?Resources:Finding a Tax Specialist to File Your Adoption Tax Credit ClaimThe 2025 Adoption Tax Credit (podcast)What Documents Do I Need to File for the Adoption Tax Credit - Weekend WisdomAdoption Tax Credit - Resource GuideSupport the showPlease leave us a rating or review. This podcast is produced by www.CreatingaFamily.org. We are a national non-profit with the mission to strengthen and inspire adoptive, foster & kinship parents and the professionals who support them.Creating a Family brings you the following trauma-informed, expert-based content: Weekly podcasts Weekly articles/blog posts Resource pages on all aspects of family building

The discussion centers on the implementation challenges and partner enablement strategies for artificial intelligence (AI) within the technology channel. According to TD Synnex's AI Accelerator program, only a small portion of AI projects achieve active deployment and measurable ROI, with widespread difficulties cited in scaling complex AI use cases. Jessica Yeck, SVP of Vendor Solutions at TD Synnex, highlights that progress is contingent upon engaging partners at their current state of AI readiness and aligning support resources accordingly. The evidence reflects a move away from one-size-fits-all approaches toward tailored frameworks that focus on tangible business outcomes and repeatable processes. TD Synnex's revised strategy prioritizes meeting partners “where they are,” using assessment frameworks that differentiate between partners with defined AI strategies and those seeking foundational guidance. Jessica Yeck references leveraging the broader technology ecosystem—including vendors, ISVs, and hyperscalers—to deliver solutions with multi-party input. This approach enables partners to identify actionable opportunities and develop pipelines, but demands cross-functional collaboration and technical-specialist engagement, particularly as customization—rather than rigid standardization—is required for effective deployment. The episode also addresses the evolving role of technology distribution in supporting partners beyond logistics. There is explicit recognition of the importance of financial mechanisms, marketplace access, and consultative guidance for services. Jessica Yeck underscores the interconnectedness of relationship-building, competency focus, and ecosystem utilization, noting that partners do not need exhaustive in-house technical skills if they can identify and collaborate with relevant specialists. This points to a strategic shift in what services and value partners can realistically deliver. For MSPs and IT service providers, the key implications involve re-evaluating approaches to AI enablement and partner relations. Instead of prioritizing technical uniformity or attempting to master every subsystem, providers should invest in relationship management and focused competency development while leveraging broader ecosystem resources. Adoption risk is reduced when partners clearly understand their customers' primary objectives and are prepared to orchestrate service delivery with targeted technical and financial support from their distribution networks. The episode reiterates that risk and accountability in AI projects hinge on practical readiness, process discipline, and honest assessment of operational capabilities, rather than technology enthusiasm or over-reliance on standardized templates.

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Off Course is back this week with a fantastic show and this is episode 285. Hosted by Dan Edwards, each Friday he gives you a deep look into the world of golf and equipment in a way unlike any other podcast has done before. Today, Adam Rehberg from Bridgestone Golf joins the show from a unique setting to discuss the new Bridgestone Tour B golf balls and an important new material. It wouldn't be Off Course without some tangents, but Dan and Adam dive into many topics including the performance and durability of cover material and what exactly is VeloSurge in a fun deep dive. This show has a lot going on and is one you will not want to miss as Adam from Bridgestone goes Off Course. Episode 285 is here and Dan and Adam discuss the following topics and a whole lot more. Introducing an Important New Material into Bridgestone Tour BPerformance and Durability of Cover MaterialImmediate Tour Success and Adoption of the New BallThe VeloSurge Deep Dive You NeededAnd so much more You can listen to the show right here, Apple Podcasts or anywhere you do your listening and downloading from, including Spotify and more. Search for the Hackers Paradise and make sure to subscribe so you never miss an episode. After listening, come back over here and drop us a note below on what you agree and/or disagree with from the episode. If you get a chance, drop us a review wherever you listen from and let others know what you think of the show and/or channel. Off course is now available in video form as well. Tune into the THPGolf YouTube Channel, jump into the latest episode’s video and watch the interaction between Dan and his guests each week rather than just listen. THPGolf · Off Course – Bridgestone Tour B and New Material Go to discussion... document.write("Loading Custom Ratings..."); The post Off Course – Bridgestone Tour B and New Material appeared first on The Hackers Paradise.

ABOUT THE EPISODE: When parents hear "wilderness therapy," their minds often race to worst-case scenarios: punishment, boot camps, kids forced to survive in harsh conditions. But Trish Ruggles, who spent over a decade as a field guide and wilderness therapist before becoming an educational consultant, has a different story to tell. After 21 years in the field and working with countless families through Pathfinder Consulting, Trish knows that wilderness therapy has evolved dramatically from its origins.What makes wilderness therapy effective isn't the outdoor skills or fresh air - though those certainly help. It's magic lies in the complete removal of 'noise.' When you take a struggling adolescent out of their always-on life and place them in the wilderness, the volume goes down on everything that keeps them from thriving. No bedroom door to close, no delivery apps to summon food, no distractions to buffer the work of actually facing themselves. And there are immediate, natural consequences their adolescent brain can actually understand.Trish's approach is refreshingly honest and practical. She'll be the first to tell you wilderness therapy isn't for everyone, but for the kid who's stuck in their room, the one running wild in the streets, or the treatment-experienced individual who knows how to game the residential system, wilderness creates something that can't be replicated indoors: a space where you can't phone it in, where every action impacts your group, and where real-life consequences teach more than any lecture ever could.You'll learn:Key myths and facts about today's outdoor behavioral health offeringsThe critical, natural consequences that wilderness experiences provide in real-timeHow wilderness has evolved from its primitive rootsWhy adopted kids and those with attachment challenges often thrive in wilderness despite parents' fearsThe truth about getting kids to agree to, and actually go to an outdoor, adventure or wilderness programEPISODE RESOURCES:Website Trish Ruggles Trish on Hopestream episode 202 Will White's Hopestream podcast episode 14 This podcast is part of a nonprofit called Hopestream CommunityGet our free, 4-video course, Hope Starts Here, and access to our Limited Membership hereLearn about The Stream, our private online community for momsFind us on Instagram hereWatch the podcast on YouTube hereDownload a free e-book, Worried Sick: A Compassionate Guide For Parents When Your Teen or Young Adult Child Misuses Drugs and AlcoholHopestream Community is a registered 501(c)3 nonprofit organization and an Amazon Associate. We may make a small commission if you purchase from our links.

SummaryIn this episode of the ATX DAO podcast, hosts Tom, Luke, and Ash dive into the rapidly evolving world of stablecoins, examining their speculative expansion and the growing expectation that significant new USDT and USDC issuance is on the horizon. The discussion highlights how stablecoins are quietly becoming core infrastructure within the global financial system, particularly as economic epicenters increasingly rely on dollar-backed digital assets for trade, liquidity, and stability. The conversation explores the geopolitical forces accelerating adoption, from Venezuela's inflation crisis to the broader implications of sanctions and cross-border settlement, and what this means for US dollar dominance in the digital era. It also analyzes the competitive landscape of stablecoin issuers, the potential rise of state-backed tokens, institutional positioning in crypto markets, and how shifting liquidity dynamics could shape the next phase of the industry.To learn more about ATX DAO:Check out the ⁠ATX DAO ⁠websiteFollow ⁠@ATXDAO⁠ on X (Twitter)Subscribe to our newsletterConnect with us on ⁠LinkedIn⁠Join the community in the ⁠ATX DAO Discord⁠Connect with the ATX DAO Podcast team on X (Twitter):Ash:  ⁠@ashinthewild⁠Luke: ⁠⁠⁠⁠⁠@Luke152⁠⁠⁠⁠⁠Tom: @Tommyg_25Support the Podcast:If you enjoyed this episode, please leave us a review and share it with your network.Subscribe for more insights, interviews, and deep dives into the world of Web 3.

Realities Remixed, formerly know as Cloud Realities, launches a new season exploring the intersection of people, culture, technology, and society. Hosts Dave Chapman, Esmee van de Giessen, and Rob Kernahan unpack 2026's defining trends, from AI and sovereignty to adaptability and automation, offering fresh insight, candid reflections, and forward‑looking conversations shaping the year ahead. TLDR00:20 – Introduction of Realities Remixed02:30 – Why the show evolved?04:50 – Dig in with the team: Predictions for 202606:40 – Macro trends13:00 – Sovereignty 17:40 – Agentic AI22:17 – Human–AI interaction26:06 – Cloud trends30:42 – AI scaling, domain‑specific models35:03 – Adoption lag39:34 – Physical AI43:47 – Quantum computing48:21 – Hardware acceleration50:30 – Cybersecurity52:38 – Season outlook HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Realities Remixed' is an original podcast from Capgemini

AI is everywhere, but turning it into lasting value is a challenge for every organization. In this episode of #shifthappens, Claire Engels, Senior Manager for Collaboration Experience & Productivity at Versuni, shares how to make AI adoption practical, sustainable, and people-first. From building momentum with small wins to keeping teams engaged beyond the initial rollout, Claire explores what it takes to move AI from hype to habit.

My wild, wacky & wonderful friend Rob Carson joined us and as expected, the conversation was all over the place.Rob Ranted about gender reassaignment surgery for children, a Ukrainian athlete being disqualified from the Olympic games, shared his personal story that has deeply influenced his stance on abortion & murder most foul....in a senior center.Follow Rob at: @RobCarson or @RobCarsonShow

Click here to send us a topic idea or question for Weekend Wisdom.Should you consider adopting or fostering a child who is older than a child already in your family? Are there things you can do to make it easier for all the children? We talk to Elizabeth Bohlken, Director of Education and Support at Children's Home Society and Lutheran Social Services of Minnesota, to talk about the preparation, joys, and challenges of disrupting birth order.In this episode:What is disrupting birth order?Why is this a topic that prospective adoptive or foster parents should educate themselves about?When combining children by birth and adoption, is it better for the adopted child to be the eldest, the youngest, or in the middle?Is there an age gap that is most recommended or best practice between children when disrupting birth order?Are there similarities between families that have a blend of children by adoption and birth, and families with blended children from divorce and remarriage?How much does age really matter?At what age is a child least affected by having their birth order disrupted?At what age is a child most affected?Is it best to disrupt the birth order of the eldest or the youngest in a family?How should parents handle a situation where the newly adopted child is older in age but younger on an emotional or behavioral level?What steps can prospective adoptive or foster parents take to prepare children already in the home for the adoption of a sibling, especially an older child?What type of sleeping arrangements should parents use in the first couple of months at home when they are adopting a child who is older than their other children?What types of behaviors might a parent or caregiver see in the early stages of this new dynamic?Why is sibling rivalry a common outcome of disrupting birth order?How to handle physically aggressive behavior between children?Practical tips to ease the transition for all the children in the family.Parenting mentalities/techniques to help a family adjust to a disrupted birth order?What is virtual or artificial twinning?What should parents consider before adopting a child of a similar age (within about 9 months) to a child already in the family?What are the warning signs that parents need to get help with an adoption that disrupts birth order or involves virtual twinning?What type of therapies or therapists should families look for to support birth order changes or artificial twinning?What should parents understand about the risk factors of sexual or physical abuse that a child may have experienced before being adopted or placed in this foster home?Where and how do parents get help to support their family in the transitions of disrupting birth order?Resources:Sibling Relationships (Resource page)Support the showPlease leave us a rating or review. This podcast is produced by www.CreatingaFamily.org. We are a national non-profit with the mission to strengthen and inspire adoptive, foster & kinship parents and the professionals who support them.Creating a Family brings you the following trauma-informed, expert-based content: Weekly podcasts Weekly articles/blog posts Resource pages on all aspects of family building

While farmer distrust of AI remains a key adoption barrier, will farm businesses that are being set up for an AI future have a competitive advantage?Paul Windemuller is a pioneering first-generation farmer and Nuffield Scholar from Coopersville, Michigan (USA). Along with his wife Brittany, Paul built his farm from the ground up with limited capital, relying on ingenuity, automation, and data-driven decision-making to grow Dream Winds Dairy into a highly tech-enabled operation.In this episode, Paul shares his unconventional journey into dairy farming from digging parlor pits by hand and retrofitting sheds on a shoestring budget, to becoming an early adopter of robotics, wearable sensors, and AI-enabled tools. Paul didn't grow up on a farm, so technology became a way to compensate for what he calls a lack of “cow sense,” helping him make faster decisions around health, breeding, and herd performance.As AI accelerates, Paul argues that adoption is less about buying another gadget and more about building the underlying foundations: connectivity, clean data, and a culture of curiosity within farming teams.Sarah and Paul discuss:How a lack of traditional farming experience became a catalyst for data-driven innovation.Why AI should be viewed as a utility, like electricity, rather than a single technology purchase.The practical steps farmers can take today to become “AI ready.” Why governance models that keep value with farmers and rural communities could determine whether AI delivers long-term benefits.Why farmer-owned data infrastructure and interoperability may be the next big innovation in agriculture.Useful Links:Leading the Herd: AI, Insight, and the Next Agricultural Revolution, (Paul's Nuffield report)Getting Into the weeds: the AI data dilemmaArtificial Intelligence and the Future of Work in AgricultureYield maps killed agtech software, can AI fix it? (report)For more information and resources, visit our website. The information in this post is not investment advice or a recommendation to invest. It is general information only and does not take into account your investment objectives, financial situation or needs. Before making an investment decision you should seek financial advice from a professional financial adviser. Whilst we believe the information is correct, we provide no warranty of accuracy, reliability or completeness.

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM AI enablement is a change problem, not a tech problem. In this episode, Molly Rupert-Sullivan breaks down how to support three groups at once: people who do not get AI yet, people who want to opt out, and champions who want more. You will hear practical ways to set expectations, avoid over‑teaching “all AI”, and build momentum by giving champions the right access, platforms, and repeatable wins that can scale across an organisation.

Today we host the wonderfully talented award-winning author-illustrator Kristine A. Lombardi and celebrate her enchanting and funny brand new book, Crouton, published by Random House, in which a cat explains how it went about adopting a human. We talk about her early career and breaking in from advertising into children's literature. We also discuss the importance of persevering and of finding the right agent (in her case Stephen Fraser). Kristine A. Lombardi has written and illustrated many other books for children, including Lovey Bunny, Mr. Biddles, My Wish for the World and The Grumpy Pets. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

In this episode of the Foster Friendly Podcast, host Travis Vangsnes and co-host Courtney Williams welcome Jeanette Yoffee, a clinical psychologist and advocate for foster care and adoption. Jeanette shares her personal journey through foster care and adoption, emphasizing the importance of understanding grief and loss in children. She discusses the significance of open adoption, the need for connection, and the various interventions she has developed to help children cope with their experiences. Jeanette also introduces her book, 'The Traumatized and At-Risk Youth Toolbox,' which provides practical tools for parents and caregivers. The conversation highlights the importance of mattering and connection for children in foster care, encouraging foster parents to create a safe and supportive environment for their children.Checkout her website and all her tools and resources:https://www.jeanetteyoffe.com/TakeawaysJeanette Yoffe shares her personal journey through foster care and adoption.Understanding grief and loss is crucial for children in foster care.Open adoption allows children to maintain connections with their birth families.Children need to know they matter and are valued.Interventions like the 'sad bag' help children cope with grief.Foster parents should lean into the discomfort of children's feelings.Jeanette's book provides practical tools for parents and caregivers.Children often recycle questions about their past as they develop.It's important to separate a child's behavior from their identity.Creating a safe environment helps children thrive. 

In this episode of the Adoption Roadmap Podcast, Rebecca Gruenspan and Jennifer Morovic discuss the intricacies of creating an impactful adoption profile. The conversation covers overcoming insecurities about personal photos, the importance of emotional connections in profiles, and the rising trend of using video to enhance storytelling. Additionally, the episode delves into strategies for independent adoption, what to avoid in profiles, and the evolving language surrounding adoption. The discussion emphasizes the need for authenticity and emotional resonance in connecting with expectant parents.Important LinksRG Adoption Consulting• Website → https://rgadoptionconsulting.com• Book a 30-Minute Consult → https://rgadoptionconsulting.com/contact• Our Chosen Child - Use code ROADMAP for $100 off the Social Media Plan + Post Program.→ https://ourchosenchild.comChapters00:00 Overcoming Photo Insecurities06:30 Navigating Feedback in Profile Creation10:50 Creating Emotional Connections in Profiles15:41 The Rise of Video in Adoption Profiles20:29 Independent Adoption Strategies24:34 What to Avoid in Profiles36:35 Final Thoughts and Rapid Fire RoundTune in to The Adoption Roadmap Podcast every Wednesday. If you like what you hear, I'd appreciate a follow and 5-star rating & review! THANK YOU!For questions about adoption, episode suggestions or to appear as a guest on The Adoption Roadmap Podcast, email⁠⁠⁠⁠ support@rgadoptionconsulting.com⁠⁠⁠

Accurately defining the population of patients with short bowel syndrome (SBS) and intestinal failure has long been a challenge in gastroenterology. In an effort to bring greater clarity to the field, Alan Buchman MD, MSPH, a professor of Clinical Surgery and Medical Director of the Intestinal Rehabilitation and Transplant Center at the University of Illinois at Chicago and director of gastroenterology at Elevance Health, led the introduction of new, more specific ICD-10-CM codes for SBS, along with corresponding updates to World Health Organization ICD-11 classifications. His recent real-world US claims analysis presented at the ASPEN 2026 Nutrition Science and Practice Conference examined how widely those codes have been adopted and what that adoption, or lack thereof, reveals about disease burden and clinical practice.Key Interview Time Stamps0:00:00 What prompted this analysis of ICD code adoption in short bowel syndrome?0:01:17 Key findings 0:03:33 Understanding reasons for variability in code adoption0:04:36 The potential benefits of improved coding accuracy 

Love to hear from you; “Send us a Text Message”The dream was simple: marry young, welcome children, and let love grow. Then biology didn't cooperate. Author and radio host Leigh Fitzpatrick Sneed joins us to unpack the hidden landscape of infertility—the grief, the pressure to “just do IVF,” the awkward silences at church, and the slow work of finding a path that honors both conscience and desire. Her story moves from clinic waiting rooms to a newborn domestic adoption that arrived in weeks, then to twins and another son, and finally to a broader truth: fruitfulness is more than pregnancy. It's the overflow of spousal love into family, parish, and community.We talk candidly about restorative reproductive medicine, the Creighton Model, and NaProTechnology—real care that seeks root causes without severing the unitive and procreative meanings of marriage. Leigh is clear-eyed: medicine can be hopeful and still hard, full of injections, surgeries, and timing that tests intimacy. Yet humor, friendship, and shared conviction can keep a couple together when the calendar takes over. We explore how to resist the glossy promises of IVF by understanding why it divides what belongs together and can treat children as products, not gifts.Purchase Infertile But Fruitful! Visit Leigh's WebsiteOn the Radio: Conversations with ConsequencesOr on Substack! https://catholicassociation.substack.com/If this resonates, follow the show, share it with a friend who needs courage today, and leave a review so others can find these stories of faithful fruitfulness.Contact Jack: info@jp2renew.orgSupport the show

Today's guest is Nishtha Jain, AI Innovation Leader. Nishtha leads enterprise data and AI strategy in the biopharma sector, focusing on aligning advanced analytics and AI systems with real-world clinical, regulatory, and operational workflows. Nishtha joins Emerj Client Narrative & Content Strategy Lead Nick Gertsch to examine why most enterprise AI pilots fail to scale, how unrealistic expectations and poorly defined use cases undermine ROI, and what it takes to design human-centered AI systems that fit how teams actually work in regulated environments. Nishtha also breaks down practical frameworks for measuring value beyond headcount reduction, including return on employee experience and long-term capability building, along with concrete approaches to faster experimentation, customer-driven use-case prioritization, and building flexible operating models that adapt as technology and market conditions evolve. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

From overcoming initial anxieties through hackathons and playful experiments, to setting an ambitious organizational roadmap for AI, Dessalen Wood shares how Syntax is embedding artificial intelligence across departments, focusing on pragmatic progress rather than hype.You'll hear stories about driving excitement, learning by doing, and the all-important challenge of measuring real impact. More than just technology, this episode dives into the culture shifts, collaboration with IT, and leadership mindsets that are pushing companies out of their comfort zones and into the future, while keeping authenticity and humanity front and center.You will want to hear this episode if you are interested in...00:00 Overcoming AI fear through collaboration03:30 Defining AI readiness today09:55 AI's role in business transformation15:46 AI anxiety in the workplace22:05 Making AI adoption fun28:11 AI expertise requires human touch36:42 AI strategy: Three layers explained41:31 True transformation vs. improvement53:21 Rethinking work, technology, and AIOvercoming AI AnxietyEarly stages of AI adoption in organizations are often marked by fear. Employees worry about being displaced, making mistakes, or failing to keep up. At Syntax, Dessalen Wood and her fellow leaders tackled these concerns by creating safe, engaging, and transparent opportunities to experiment.One of the most effective strategies was an organization-wide AI hackathon. Everyone, regardless of their role, was invited to submit ideas for automation and improvement—ideas that the tech team then built. Not only did this demystify AI, but it also provided a healthy dose of competition and excitement. Dessalen describes that, “Instead of people fearing automation, it became a competition... People were saying, please, automate my tasks!” This shift from apprehension to enthusiasm helped break through adoption barriers and foster a culture of creative problem-solving.Structuring Success: A Multi-Layered AI RoadmapSyntax's approach moves AI from a buzzword to a set of actionable strategies. The leadership distinguished between three core areas:Department Initiatives: Leveraging AI for productivity and process improvement within teamsCustomer Value: Enhancing solutions and services delivered to external clientsBusiness Transformation: Reimagining core business models and operations for strategic advantageMany organizations mistakenly assume one AI initiative will magically improve all three—but real impact comes from tailored strategies for each. In practice, this means differentiating between continuous improvement (making existing tasks more efficient) and true reinvention (fundamentally transforming how and why work gets done).The creation of AI champions, employees trained as internal advocates and solution designers, helped ensure that innovative ideas didn't just sit in a backlog. Instead, those not ready for large-scale investment could be adapted, piloted, and iterated by these champions, keeping the spirit of experimentation alive while prioritizing resources for the highest-value initiatives.The Human Element: Authenticity, Experimentation, and MeasurementAs AI tools become more prevalent, a new challenge emerges: maintaining authenticity in communication, development, and leadership. The team discussed the “hollowed-out leader” phenomenon—where over-reliance on AI could dilute critical thinking and personal investment. Dessalen explains why expertise, context, and human customization are more important than ever: If it doesn't demonstrate expertise and isn't highly curated, it just turns people off.Measurement is also evolving. Early wins in AI productivity are being tracked, not just in terms of completion rates or tool adoption, but in demonstrable business outcomes and stretch goals. Syntax uses tools that help employees articulate their productivity gains and set new impact targets, ensuring that activity translates into organizational value.Resources & People MentionedExperience Qualtrics Management Resources Connect with Dessalen WoodDessalen Wood on LinkedIn Connect With Red Thread ResearchWebsite: Red Thread ResearchOn LinkedInOn FacebookOn TwitterSubscribe to WORKPLACE STORIES

In this episode of Pearls On, Gloves Off, Mary sits down with Mike Abbott, Head of the Thomson Reuters Institute, to unpack the paradox: how can firms be thriving on paper while the ground shifts beneath them? Clients are tightening spend. Work is moving down-market and in-house. AI adoption is accelerating, especially on the client side, yet most of the industry still can't measure ROI beyond "time saved." And the biggest unresolved question hangs over everything: when tech makes legal work faster, who gets the benefit? Mike brings the data, the patterns, and the historical context, plus a sobering signal: late 2025 showed a sharp dip in M&A alongside a rise in countercyclical practices. If you're trying to understand what's actually coming in 2026, this is your listen. In this episode: Record profits… and warning lights: Why a "great year" can still mask real risk (and why it feels eerily familiar). The work is moving: Not just in-house, down-market into the second hundred and mid-size firms. AI as an efficiency engine (for now): Adoption is surging, but ROI tracking is still immature across the ecosystem. The billing model stalemate: If ~90% of billing is still hourly (with "creative" hourly flavors), what happens when AI collapses time-to-deliver? Value gap reality check: The uncomfortable stat: one in four clients say they've never experienced a law firm that delivers value - and what "value" actually means to clients. Legal ops as the bridge: Why the legal ops function is more critical than ever, and why it's unlikely to be a passing trend. Join Mary's Substack Community Follow Mary on LinkedIn Rate and review on Apple Podcasts  

This content has been developed for healthcare professionals only. Patients who seek health information should consult with their physician or relevant patient advocacy groups.For the full presentation, downloadable Practice Aids, slides, and complete CME/MOC/NCPD/AAPA/IPCE information, and to apply for credit, please visit us at PeerView.com/JDA865. CME/MOC/NCPD/AAPA/IPCE credit will be available until February 8, 2027.Catalysts for Enhanced Patient CARE In Neuroendocrine Neoplasms: Clinical Adoption of Rapidly Emerging Evidence on Novel Therapeutic Strategies In support of improving patient care, this activity has been planned and implemented by PVI, PeerView Institute for Medical Education, and Neuroendocrine Cancer Awareness Network. PVI, PeerView Institute for Medical Education, is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.SupportThis educational activity is supported by independent medical education grants from Boehringer Ingelheim Pharmaceuticals, Inc., Exelixis, Inc., and Novartis Pharmaceuticals Corporation.Disclosure information is available at the beginning of the video presentation.

Your sales team spends 70% of their time on admin work - not selling. Do the math: if your top AE makes $120K and only spends 30% of their time on revenue activities, you're paying $84,000 for data entry and CRM updates. That's the Admin Drag tax killing your pipeline velocity in 2026. But here's the real problem: you bought AI six months ago (Gemini, ChatGPT, Einstein), rolled it out with a 45-minute webinar, and… crickets. Adoption is at 14%. Your VP is asking what you're paying for. This isn't a technology problem. It's a leadership problem. You installed software when you needed to redesign the workflow. In this episode, Mike Allton (Director of Partner-Led Growth at Agorapulse) deconstructs the 95% AI pilot failure rate and shows you exactly what Revenue Architecture looks like in practice. You'll discover: • The real cost of manual meeting prep (90 minutes vs. 8 minutes with Gemini's Scheduler)• How to build a "Digital Crew" that automates research, briefing docs, and objection prep• Why Gemini's 2 million token context window changes everything for sales intelligence• The 3-day audit that reveals where your team is hemorrhaging time• How to move from "Human-in-the-Loop" to "Human-on-the-Loop" automation Stop installing tools your team won't use. Start architecting workflows that reclaim 25-30 hours per rep, per week. Resources: TheAIHat.com/speaking CHAPTERS 00:00:00 - Introduction: The $600K Call She's Unprepared For 00:02:20 - The $84,000 Admin Drag Tax (Do the Math) 00:03:41 - Why 95% of AI Pilots Fail (It's Not the Technology) 00:04:05 - The Da Vinci Workshop: Building a Digital Crew 00:05:17 - Pilot Purgatory: The 6-Month Failure Timeline 00:07:06 - The Old Way: 90 Minutes of Manual Meeting Prep 00:08:48 - The Digital Crew Way: Gemini Scheduler in Action 00:11:48 - Why Gemini Is Structurally Different 00:12:16 - Native Workspace Integration (Friction Removal) 00:12:36 - The 2 Million Token Context Window 00:13:20 - Multimodal Native (Not Franken-Botted) 00:14:23 - Grounding with Google Search (The Accuracy Engine) 00:14:43 - The Scheduler: The Agentic Unlock 00:15:36 - Your Homework: The 3-Day Time Tracking Audit 00:17:01 - How to Architect Your Digital Crew (Workshop Info) 00:17:45 - Closing: Stop Installing Software, Start Architecting Systems Show Notes & Transcript: https://theaihat.com/geminis-scheduler-just-fixed-sales-meeting-prep-and-killed-the-90-minute-research-grind/ Learn more about your ad choices. Visit megaphone.fm/adchoices

This content has been developed for healthcare professionals only. Patients who seek health information should consult with their physician or relevant patient advocacy groups.For the full presentation, downloadable Practice Aids, slides, and complete CME/MOC/NCPD/AAPA/IPCE information, and to apply for credit, please visit us at PeerView.com/JDA865. CME/MOC/NCPD/AAPA/IPCE credit will be available until February 8, 2027.Catalysts for Enhanced Patient CARE In Neuroendocrine Neoplasms: Clinical Adoption of Rapidly Emerging Evidence on Novel Therapeutic Strategies In support of improving patient care, this activity has been planned and implemented by PVI, PeerView Institute for Medical Education, and Neuroendocrine Cancer Awareness Network. PVI, PeerView Institute for Medical Education, is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.SupportThis educational activity is supported by independent medical education grants from Boehringer Ingelheim Pharmaceuticals, Inc., Exelixis, Inc., and Novartis Pharmaceuticals Corporation.Disclosure information is available at the beginning of the video presentation.

Can a tethered drone flying 400 feet in the air really replace traditional wind turbines?Marissa Brydle, Sustainability Director at KeyBank, did not study sustainability in school. After 13 years at sustainability consultancy Brown Flynn and a stint at steel producer Cleveland Cliffs, she landed at one of America's oldest banks. KeyBank remains the #2 renewables financier and #2 affordable housing financier in the U.S., deploying $20 billion toward their $38 billion sustainable finance goal. "It doesn't make good business sense to not do these things," Marissa explains. How does a 200-year-old institution navigate political headwinds while maintaining unwavering climate commitments? And what's next for engaging 17,000 employees across 15 states?Marissa Brydle is Sustainability Director at KeyBank, where she leads climate strategy, disclosure, and sustainable finance initiatives for the 200-year-old institution. She began her career at sustainability consultancy Brown Flynn, spending 13 years building expertise across industries before moving to Cleveland Cliffs, a major North American steel producer. There, she discovered steel's critical role in the low-carbon transition. At KeyBank, Marissa oversees the bank's $38 billion sustainable finance commitment, carbon neutrality goals, and climate risk management. She's passionate about engaging KeyBank's 17,000 employees across 15 states to integrate sustainability into daily operations and decision-making.In This Episode: (00:00) Marissa's unconventional path from communications to sustainability consulting(07:30) Transitioning from Cleveland Cliffs steel to KeyBank sustainability role (13:40) KeyBank's 200-year history and resilience through market shifts (15:41) Sustainable finance commitments despite political headwinds and climate disclosure (23:28) Employee engagement and walking the talk on sustainabilityShare with someone who would enjoy this topic, like and subscribe to hear all of our future episodes, send us your comments and guest suggestions!About the show: The Age of Adoption podcast explores the monumental transition from a period of social, economic, and environmental research and exploration – an Age of Innovation – to today's world in which companies across the economy are furiously deploying sustainable solutions – the Age of Adoption. Listen as our host, Keith Zakheim, CEO of Antenna Group, talks with experts from across the climate, energy, health, and real estate sectors to discuss what the transition means for business and society, and how corporates and startups can rise above competitors to lead in this new age. This podcast is brought to you by Antenna Group, a global marketing and communications agency that partners with Fully Conscious brands — those with the courage to lead transformative change across Climate & Energy, Real Estate, Health, and beyond. Our clients include visionary corporations, startups, investors, and nonprofits who recognize that meaningful impact requires more than awareness; it demands bold action. In today's Age of Adoption, where every sector must incorporate sustainable solutions into foundational systems, we amplify brands standing at the forefront of change, shaping a better future for our planet and its people. To learn more, visit antennagroup.com.Resources:Marissa Brydle LinkedIn: https://www.linkedin.com/in/marissa-b-32560a16/KeyBank: https://www.key.com/personal/index.htmlAntenna GroupKeith Zakheim LinkedIn

If you've ever wondered how Oracle Database really works inside AWS, this episode will finally turn the lights on.   Join Senior Principal OCI Instructor Susan Jang as she explains the two database services available (Exadata Database Service and Autonomous Database), how Oracle and AWS share responsibilities behind the scenes, and which essential tasks still land on your plate after deployment.   You'll discover how automation, scaling, and security actually work, and which model best fits your needs, whether you want hands-off simplicity or deeper control.   Oracle Database@AWS Architect Professional: https://mylearn.oracle.com/ou/course/oracle-databaseaws-architect-professional/155574 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, Anna Hulkower, 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! 00:26   Lois: Hello and welcome to the Oracle University Podcast! I'm Lois Houston, Director of Communications and Adoption with Customer Success Services, and with me is Nikita Abraham, Team Lead: Editorial Services with Oracle University.  Nikita: Hi everyone! In our last episode, we began the discussion on Oracle Database@AWS. Today, we're diving deeper into the database services that are available in this environment. Susan Jang, our Senior Principal OCI Instructor, joins us once again.  00:56 Lois: Hi Susan! Thanks for being here today. In our last conversation, we compared Oracle Autonomous Database and Exadata Database Service. Can you elaborate on the fundamental differences between these two services?     Susan: Now, the primary difference is between the service is really the management model. The Autonomous is fully-managed by Oracle, while the Exadata provides flexibility for you to have the ability to customize your database environment while still having the infrastructure be managed by Oracle.   01:30 Nikita: When it comes to running Oracle Database@AWS, how do Oracle and AWS each chip in? Could you break down what each provider is responsible for in this setup?  Susan: Oracle Database@AWS is a collaboration between Oracle, as well as AWS. It allows the customer to deploy and run Oracle Database services, including the Oracle Autonomous Database and the Oracle Exadata Database Service directly in AWS data centers.   Oracle provides the ability of having the Oracle Exadata Database Service on a dedicated infrastructure. This service delivers full capabilities of Oracle Exadata Database on the Oracle Exadata hardware. It offers high performance and high security for demanding workloads. It has cloud automation, resource scaling, and performance optimization to simplify the management of the service.  Oracle Autonomous Database on the dedicated Exadata infrastructure provides a fully Autonomous Database on this dedicated infrastructure within AWS. It automates the database management tasks, including patching, backups, as well as tuning, and have built-in AI capabilities for developing AI-powered applications and interacting with data using natural language. The Oracle Database@AWS integrates those core database services with various AWS services for a comprehensive unified experience.  AWS provides the ability of having a cloud-based object storage, and that would be the Amazon S3. You also have the ability to have other services, such as the Amazon CloudWatch. It monitors the database metrics, as well as performance. You also have Amazon Bedrock. It provides a development environment for a generative AI application.   And last but not the least, amongst the many other services, you also have the SageMaker. This is a cloud-based platform for development of machine learning models, a wonderful integration with our AI application development needs.  03:54 Lois: How has the work involved in setting up and managing databases changed over time?  Susan: When we take a look at the evolution of how things have changed through the years in our systems, we realize that transfer responsibility has now been migrated more from customer or human interaction to services. As the database technology evolves from the traditional on-premise system to the Exadata engineered system, and finally to the Autonomous Database, certain services previously requiring significant manual intervention has become increasingly automated, as well as optimized.  04:34 Lois: How so?  Susan: When we take a look at the more traditional database environment, it requires manual configuration of hardware, operating system, as well as the software of the database, along with initial database creation. As we evolve into the Exadata environment, the Exadata Database, specifically the Exadata cloud service, simplifies provisioning through web-based wizard, making it faster and easier to deploy the Oracle Database in an optimized hardware.     But when we move it to an Autonomous environment, it automates the entire provisioning process, allowing users to rapidly deploy mission-critical databases without manual intervention, or DBA involvement. So as customers move toward Autonomous Database through Exadata, we have fewer components that the customer needs to manage in the database stack, which gives them more time to focus more on important parts of the business.  With the Exadata Database, it provides a co-management of backup, restore, patches and upgrade, monitoring, and tuning. And it allows the administrator the ability to customize the configuration to meet their very specific business needs. With Autonomous Database, it's now fully automated and it's a greater responsibility is shift toward the service. With Autonomous Database on dedicated infrastructure, it provides that fine-grained tuning more for Oracle to help you perform that task.  06:15 Nikita: If we narrow it down just to Oracle and AWS for a moment, which parts of the infrastructure or day-to-day ops are handled by each company behind the scenes?  Susan: When we take a look at Oracle Database@AWS, it operates under a shared responsibility model, dividing the service responsibilities between AWS, as well as Oracle, as well as you, the customer.   The AWS has the data center. Remember, this is where everything is running. The Oracle Database@AWS, the Oracle Database infrastructure may be managed by Oracle and run in OCI, but is physically located within the AWS regions, as well as the availability zones and the AWS data centers.  The AWS infrastructure, in this case, is AWS's responsibility to secure the environment, including the physical security of the data center, the network infrastructure, and the foundational services like the compute, the storage, and the networking, all within AWS.  The next thing of who's responsible for the shared responsibility, it's Oracle. And that would be the hardware. We provide the hardware. While the hardware may physically reside in the AWS data center, Oracle's Cloud Infrastructure operational team will be the one managing this infrastructure, including software patching, infrastructure update, and other operations through a connection to OCI. This means Oracle handles the provisioning, as well as the maintenance of any of the underlying Exadata infrastructure hardware.  When we take a look at the next thing that it manages, it is also responsible besides the infrastructure of the Exadata. It is also the ability to manage the hardware, the environment of that hardware through the database control plane. So Oracle manages the administration and the operational for the Oracle Database@AWS service, which resides in OCI. So this includes the capabilities for management, upgrade, and operational features.  08:37 Nikita: And what are the key things that still remain on the customer's plate?   Susan: If you are in an Exadata environment or in an Autonomous environment, it is you, the customer, who is responsible for most of the database administration operation, as well as managing the users and the privileges of the user to access the database. No one knows the database and who should be accessing the data better than you.  You will be responsible for securing the applications, the data of the database, which now allows you to define who has access to it, control the data encryption, and securing the application that interacts with the Oracle Database@AWS.  09:29 Lois: Susan, we've talked about both Autonomous Database and Exadata Database Service being available on Oracle Database@AWS, but what's different about how each works in this environment, and why might someone pick one over the other?  Susan: Both databases, even though they run on the same Exadata Cloud Infrastructure, both can be deployed on both public cloud, as well as the customer data center, which is Oracle Cloud@Customer.  The Autonomous Database is a fully managed, completely automated environment. And this provides a capability of having a fully Autonomous Database Service running on a dedicated Oracle Exadata Infrastructure within your AWS data center.  The Exadata is a service that is provided and managed by Oracle and is physically running in the AWS data center, but is designed for mission critical workload and includes RAC environment, Real Application Cluster, offering a high performance availability and full feature capability that is similar to other Exadata environment, such as those running in our customers' data center.  The primary difference is really between the two services. When you take a look at the Exadata, the customer only pays for the compute resources that is used. Autoscaling can be used for a variety or variable resources, the workload, to automatically scale to the compute resources up or down when required.  The Autonomous Database also has automatic optimization for data warehousing, transaction processing, as well as JSON workload. The Exadata service, the customer again, also pays for the compute resources that they allocate. But that's the key thing. The customer can initiate the scaling because it's very specific to the workload that is needed.  So when you take a look at the two database services, one gives the ability to let Oracle fully manage it, including the scaling capability. The other, the Exadata, provides you the capability of having the environment that it's running on the infrastructure be managed by Oracle that adds a database administrator. You may wish to have a little bit more granular control of how you want the database to not only be scaling, but how you wish to customize how the database will be running.  12:10 Nikita: Focusing on Autonomous Database for a moment, what should teams know about how it actually runs within AWS?   Susan: The Autonomous Database on the Oracle Database@AWS brings the power of the Oracle's self-managing, self-securing, and self-repairing database into your AWS environment.  It provides the capability of the database automatically, automates many of the traditional, complex, and time-consuming database management tasks, such as the provisioning of the database, the patching, the backing up, and the scaling, and the performance tuning, reducing the need for any manual intervention by the database administrator.  Running the Autonomous Database in your AWS region enables low latency access for your AWS applications and services that is deployed within AWS, thus improving performance and response time. With the Autonomous Database, it automates many of the traditional things that is now automatically done by Oracle. It also supports integration with various AWS services, such as the ability of the not in addition to AIM, but the cloud formation, the CloudWatch for monitoring and the S3 for the storage.  You can easily migrate existing Exadata workload, including those running on Oracle RAC to AWS with minimum or no change to any of your databases or applications. In addition, there's a really powerful capability and feature of the database is called zero ETL, and that's zero extract, transformation, and load.  It's an integration capability with services like your Amazon Redshift, enabling near real time analytics and machine learning on your transactional database that is stored within the Autonomous Database on in your AWS environment. So with the Autonomous Database, it checks off many of the boxes for automatic capability, securing, tuning, as well as scaling the database.  With the Autonomous Database in the Dedicated Exadata Infrastructure, the Exadata Cloud Infrastructure resource represents the physical system, which can be expanded with storage, as well as compute services, the compute host. This now provides the ability to have an isolated zone for the highest protection from other tenants. The data is stored on a dedicated server only for one customer. That would be you.  14:56 Lois: Could you explain the role of Autonomous VM? What are its primary benefits?  Susan: The virtual machine or as we refer to them as the cluster, includes the grid infrastructure and provides a private network isolation. This provides you the capability of having custom memory, core, and storage allocation.  The Oracle Grid Infrastructure includes the Oracle Clusterware, which manages the cluster, as well as the servers, and ensure that the database can failover to another server in case of any failure.  15:34 Be a part of something big by joining the Oracle University Learning Community! Connect with over 3 million members, including Oracle experts and fellow learners. Engage in topical forums, share your knowledge, and celebrate your achievements together. Discover the community today at mylearn.oracle.com.  15:55 Nikita: Welcome back! Susan, what is the Autonomous Container Database?  Susan: With the Autonomous Container Database, and you need that if you're going to create an Autonomous Database, you need to provision that within your Autonomous Exadata VM Cluster. It serves as a container to hold or to house one or more Autonomous Databases.  This allows multiple Autonomous Databases to coexist in the same infrastructure while still being logically separated. And this allows for the separation of databases based on their intended use. Think of a database for production. Think of a database for development. Think of a database for testing. You may have different database versions within the same infrastructure.  This isolation makes it easier for you to be able to meet your SLA, your Service Level Agreement, any long-term backups you may have, very specific encryption key needs to prevent issues from one database impacting another. So, the ability to have everything be isolated and secure is still grouping it in a manner that will meet your business needs.  17:08 Lois: Looking at Exadata Database Service specifically, what are some standout advantages for customers who deploy it on Oracle Database@AWS? Is there anything in particular they should get excited about in terms of performance or integration with AWS?  Susan: The Exadata Database Service is running on a dedicated Exadata Infrastructure that's deployed within your AWS data center. It delivers the same Exadata service experience in cloud control planes as the Oracle Cloud Infrastructure, allowing you to leverage existing skills and processing across your multi-cloud environment.  It addresses the data resiliency, or residency rather. And that's the scenario where many of our customers has the need. You have a need because of your security compliance to have the data local to you. By having the Exadata Database in your Oracle Database@AWS, it is running in your data center. So, this addresses that very important need, data residency, to have it close to you.  It also allows for seamless integration with other AWS services and applications. So now you have a capability of a hybrid cloud architecture leveraging the benefit of both Oracle Exadata and your AWS system. It has built-in high availability, the RAC application cluster, as well as Data Guard, a capability of addressing disaster recovery capability.  This also provides the ability for you to scale your compute, as well as your storage and your I/O resources independently. So as mentioned with Exadata, you have flexibility of how you want your database to be running individually. So just like the Autonomous, the Exadata Database checks off many of the boxes for running a mission-critical with high availability, highly redundant hardware and software features, along with extreme performance, scalability, and reliability.  This now allows you to run your AI environment, your online transaction processing, your analytic workload on any scale on the Exadata Infrastructure running in the Oracle Cloud. And in this case, running in your data center.  19:45 Nikita: If a business suddenly needs more capacity, how does scaling work with Exadata Database Service versus Autonomous Database on Oracle Database@AWS?   Susan: So with the Exadata scaling, you now can scale to meet expected demands so you know at certain point I will need more. I will then ask it to scale at that point when I will assign it-- and I'm using an example, I will assign it three computer cores all the time. But there may be demands. Think of your end of the quarter, end of the year processing that you may need more. So, you are enabling the compute cores to scale at the time you need it.  And what's cool is it will then, when it's no longer needed, it will then scale back down to the original three cores that you assign. So, you only pay for the enabled cores. But what's very cool about the Autonomous is that it is real-time scaling. So, with Autonomous, now you have the capability using Autonomous Database since it is self-tuning, self-monitoring, the Autonomous Database actually monitors the workload requirement and scales to match the workload demand.  Once the minimum level of the compute is defined and enabled, the automatic scaling is set. Autonomous Database will adjust to the consumption when it's needed, and it will scale back down when it's not. So though the Exadata is pretty cool, it will scale up and down on the workload demand.  This is with the Autonomous is even more powerful. It is real-time scaling based on that usage at that moment. Built-in automatic increase to meet the workload demands when it spikes and it automatically scales back when it's not needed.  A very powerful capability with all of our Oracle databases, the ability, even with traditional, to allow you to define what you may need with Exadata scaling for peak demands, as well as Autonomous scaling for real-time consumption and scaling when needed.  When you look at all of our options, one of the key things to bear in mind is a phrase that we use: performance scale as more servers are added. And what this is really saying is Oracle's automated scaling ability for the database, it basically has the ability to maintain or improve its performance under increased workload by automatically adding computational resources when needed.  This process is also known as horizontal scaling. It involves adding more servers, compute instances, to a cluster to share the processing load. And it has that capability automatically.  22:53 Nikita: There's so much more we can discuss about Oracle Database@AWS, but let's pause here for today! Thank you so much Susan for joining us.  Lois: Yeah, it's been really great to have you, Susan. If you want to dive deeper into the topics we covered today, go to mylearn.oracle.com and search for the Oracle Database@AWS Architect Professional course. Until next time, this is Lois Houston…  Nikita: And Nikita Abraham, signing off!  23:23 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.

- Bloomberg Low-Cost MacBook to Sport Range of Colors - iOS 26 Adoption on Par with Previous iOS Releases - AppleCare+ Goes Live in Indonesia - Rumor: Apple Sales Peeps Getting Updated "Sales Coach" App - While iWork Apps Thrive, iWork Branding Circles the Drain - Shot on iPhone Campaigns Promote F1 Teams Ahead of Season - Sponsored by NordLayer: Get an exclusive offer - up to 22% off NordLayer yearly plans plus 10% on top with coupon code: macosken-10-NORDLAYER at nordlayer.com/macosken - Sponsored by CleanMyMac: Use code MACOSKEN20 for 20% off at clnmy.com/MACOSKEN - Catch Ken on Mastodon - @macosken@mastodon.social - Send Ken an email: info@macosken.com - Chat with us on Patreon for as little as $1 a month. Support the show at Patreon.com/macosken

This episode follows Stephanie's journey from a stable, loving childhood into a shocking DNA discovery after her dad's death revealed he wasn't her biological father. What starts with family secrets, an Ancestry test, and a stepmom's cryptic comment turns into a whirlwind of answers — including identifying her biological father, discovering new siblings, and realizing her daughter was unknowingly friends with her first cousin. Stephanie shares the emotional fallout, identity shift, grief, and healing resources that helped her navigate life as an NPE. Stephanie can be reached via email walkers424@gmail.comResources Mentioned:Untangling our Roots Summit Mar 19-22, 2026 AtlantaDNAngels No Cost Search Angel ServicesWho Even Am I Anymore? A Process Journal by Eve Sturges Before You Go by Stephanie WalkerNPE Stories PatreonNPE Stories facebook pagehttps://www.facebook.com/NPEstories

Send a textHCM operates under a different operational gravity, shaped by higher data sensitivity, greater regulatory exposure, and people-centric workflows that do not map cleanly to financial or supply chain logic. HR data carries a uniquely elevated risk profile, and processes such as payroll, benefits, compliance, recruiting, onboarding, training, and performance management introduce specialized data models and integration needs that demand purpose-built platforms. Adoption also follows a different maturity curve, with most organizations starting from basic payroll—often via a PEO or standalone system—and gradually layering in more strategic HR capabilities as workforce size and complexity increase. Because HCM spans multiple micro-segments and specialization layers that vary materially by industry, geography, and workforce composition, it must be evaluated as its own architectural layer, not merely as an ERP add-on, to ensure long-term system fit and operational resilience.In this episode, our host Sam Gupta discusses the top HCM software in 2026. He also discusses several variables that influence the rankings of these HCM software. Finally, he shares the pros and cons of each HCM software.Video: https://www.youtube.com/watch?v=LVe9TBkCoG0Read: https://www.elevatiq.com/post/top-hcm-software/Questions for Panelists?

In this episode of Identity at the Center, hosts Jeff and Jim dive into the details of the Shared Signals Framework (SSF) and Continuous Access Evaluation Profile (CAEP), with special guest Atul Tulshibagwale, the CTO of Signal. The trio discusses the complexities and applications of these identity security standards, recent adoption by major tech companies, and how they are transforming the approach towards identity and access management. Atul also shares exciting news about Signal's impending acquisition by CrowdStrike and reflects on a recent safari trip in Kenya. Tune in to learn about the evolution of identity security and the future of SSF and CAEP.Connect with Atul: https://www.linkedin.com/in/tulshi/Learn more about the Artificial Intelligence Identity Management Community Group: https://openid.net/cg/artificial-intelligence-identity-management-community-group/Learn more about SSF and CAEP:https://openid.net/how-authzen-and-shared-signals-caep-complement-each-other/https://sgnl.ai/whitepaper/caep-best-practices/https://caep.dev/https://youtu.be/qakOw0g2mZ8?si=p8z9imn7x-HhLdcVhttps://www.youtube.com/live/e64YiAmGmf4?si=QPKDg2Jm9oSZmbhZhttp://sharedsignals.guide/Connect with us on LinkedIn:Jim McDonald: https://www.linkedin.com/in/jimmcdonaldpmp/Jeff Steadman: https://www.linkedin.com/in/jeffsteadman/Visit the show on the web at http://idacpodcast.comTimestamps:00:00 Introduction and Episode Milestone00:17 Challenges with Installing Molt Bot02:32 MoltBook and AI Agents03:21 Jim's Perspective on AI Assistants09:24 Conferences and Networking10:10 Introduction to Shared Signals and CAEP13:03 CrowdStrike Acquisition of Signal14:03 AI Identity Management Community16:59 Shared Signals Framework and CAEP Explained30:03 Final Version of CAEP and Shared Signals Released30:35 Adoption by Major Technology Providers32:49 Benefits of Implementing Shared Signals36:32 Future of SSF and CAEP40:51 Certification Program for Shared Signals52:48 Real-World Safari Adventure01:00:34 Conclusion and Final ThoughtsKeywords:IDAC, Identity at the Center, Jeff Steadman, Jim McDonald, Atul Tulshibagwale, Shared Signals Framework, SSF, CAEP, Continuous Access Evaluation Profile, OpenID Foundation, CrowdStrike, SGNL AI Identity, Agentic Identity, AuthZEN, Risk, Identity Security, IAM, Podcast

In this episode of The Dad Verb Podcast, we discuss adoption, with Andrew Tansill. Listen on Spotify: https://spoti.fi/3XfpYjR Listen on Apple: https://apple.co/3HLZCzU Listen on Google: https://bit.ly/42uXtSU Follow Muamer Razic (Step Dad): @talesfromdadverb Follow Ben Brown: @mr_mackenzie Follow Andrew Saunders: @saunders.dadverb Follow Nate Klein: @nateklein53 Follow Andrew Tiu: @dad_verb Join our private Discord community for new/expectant dads: https://www.launchpass.com/dad-verb/community-member

COLLECTION TITLE - SERMON TITLE - SPEAKER We hope this message encourages and inspires you!Want more like this from CoastLife Church?YouTube: CoastLife Church - YouTubeFacebook: https://www.facebook.com/mycoastlifechurchInstagram: https://instagram.com/coastlifechurch...GIVE: https://www.mycoastlifechurch.com/giveLooking to get connected? We'd love to meet you! We offer several different ways to connect and be in community: Join a Together Group, Register for CoastLife+, or become a part of our Serve Team today by visiting: CoastLife Connect Card - CoastLife Church (churchcenter.com)Give: To support and be a part of or growth and global impact click here: https://www.mycoastlifechurch.com/give

“Write on a scroll what you see and send it to the seven churches: to Ephesus, Pergamum, Thyatira, Sardis, Philadelphia and Laodicia.” -Revelation 1:11   Welcome to The Adoption & Foster Care Journey—a podcast to encourage, educate and equip you as you care for children in crisis through adoption, foster care and kinship care.   On this episode, host Sandra Flach, talks with Alice H. Murray—a retired adoption attorney, who pursues her passion for writing with a weekly blog and faith column, articles, and online and print devotions. Her writing also appears in numerous compilations publications such as Guideposts and Chicken Soup For the Soul.    Alice recently released her second book, God Adopted Us First: Faith Lessons From An Adoption Attorneys Adventures.   Listen to Sandra's encouraging conversation with Alice Murray on Episode 519 wherever you get your podcasts.   Please be sure to subscribe to the podcast, leave a review, and share it on your social media.   Links mentioned in this episode: The Adoption & Foster Care Journey AFCJ on YouTube justicefororphansny.org justicefororphansny.org/hope-community     Email:  sandraflach@justicefororphansny.org sandraflach.com Soul Care Saturday—52 Devotions for Foster and Adoptive Moms Orphans No More—A Journey Back to the Father book on Amazon Mobilize Ohio ReNew Retreat in NC Alice H. Murray - Website

253 | In den letzten Wochen hat sich der Fortschritt von AI deutlich beschleunigt. Was kommt als nächstes und wo lauern neue Geschäftsideen?Partner dieser Folge:ClockodoClockodo ist das Time Tracking Tool unserer Wahl. Auf ⁠https://www.clockodo.com/⁠optimisten bekommst du mit Gutschein-Code optimisten25 25% RabattMach das 1-minütige Quiz und finde eine Geschäftsidee, die zu dir passt: digitaleoptimisten.de/quiz. Mich erreichst du unter alexander@digitaleoptimisten.de.Schick uns deine Audio-Message auf speakpipe.com/digitaleoptimisten.Kapitel(00:00) Intro(01:20) Wie kann man mit dem Tech Stack noch mithalten?(09:30) OpenClaw: Die Architektur des Internets ändert sich(22:00) Coder werden zu göttern?(37:00) Post von Optimisten: Tool-Inspiration von Mirja(39:00) Hörer Matthias baut Learningcards.com(46:00) Geschäftsidee von Hörer Felix: B2B Siri(49:30) Geschäftsidee von Samuel: AI Ready - Bootcamp(54:30) Geschäftsidee von Alex: StackScoutLearningsAI-Layer verändert SoftwarearchitekturOpenClaw ist der erste AI-Agent, der Aktionen im Internet durchführt und SaaS-Anwendungen direkt bedient. Dadurch verschiebt sich die Bedienung von Software von Benutzeroberflächen hin zu einem AI-Agenten. Der Wert entsteht vor allem daraus, wie effizient der Mensch seine Aufmerksamkeit einsetzt.Bestehende Firmen müssen radikal neu denkenEtablierte B2B-SaaS-Firmen müssen AI in ihr Produktdesign integrieren und nicht nur smarter machen. SAP-Migrationen zeigen, wie IT-Abteilungen monatelang blockiert werden; AI-basierte Services könnten aus Abteilungen wie Risk Management, Advisory, Cyber Security, Front Office, Tax Services entstehen. Ohne radikale Neugestaltung riskieren sie, von AI-getriebenen Gründern überholt zu werden.AI täglich praktisch nutzenNutze AI täglich und integriere sie in den Arbeitsalltag, am besten mit Tools, die du regelmäßig nutzt; der Vorschlag: etwa 50 Euro pro Monat investieren und Tools zu deiner Startseite machen. Beginne mit einem konkreten Projekt, bei dem AI die Kernaufgabe übernimmt, um schnell messbare Ergebnisse zu erzielen. So entwickelst du eine Praxis, in der AI langfristig zum Werttreiber wird.Distribution entscheidet über ErfolgKonkrete Produktideen wie The Learning Cards zeigen, dass Distribution wichtiger ist als die reine Technologie. Eine physische Verpackung oder Box als Vertriebskanal kann helfen, komplexe Konzepte greifbar zu machen; Kooperationen mit Buchläden oder lokales Offline-Marketing werden diskutiert. Offene Frage bleibt, wie physische Distribution wirkungsvoll skaliert wird, um Adoption zu beschleunigen.KeywordsKünstliche Intelligenz im UnternehmenseinsatzAI-Agenten und AutomatisierungAI-Architektur im UnternehmenAI-Readiness BootcampStack Scout AI Stack Empfehlungwie AI-gestützte Automatisierung Geschäftsprozesse verändertAI-Agenten im Unternehmensalltag einsetzenArchitektur einer Unternehmenssoftware mit AI LayerWie etablierte Firmen auf AI-basierte Architekturen umstellenOpenClaw Claude Bot Sicherheit BedenkenMake.comAirtableSAP S4HANAPersonio

For access to the article discussed in this podcast episode, please see below:https://warontherocks.com/2025/12/decades-of-lost-potential-in-defense-research-and-development/For additional information involving the SBIR program, please see below:2018 Naval Postgraduate Paper- Bridging the Gap: Improving DoD-Backed Innovation Programs to Enhance the Adoption of Innovative Technology Throughout the Armed Services 2020 Naval Postgraduate Paper- The Effect of Defense-Sponsored Innovation Programs on the Military's Industrial Base 2021 Naval Postgraduate Paper- Why Marketing Matters: Strengthening the Defense Supplier Base Through Better Communication with Industry 2022 Naval Postgraduate Paper- Analyzing the Composition of the Department of Defense Small Business Industrial Base 2023 Paper: Assessing the Effectiveness of Defense-Sponsored Innovation Programs as a Means of Accelerating the Adoption of Innovation Force Wide 2024 Paper: Assessing the Impact of DoD-Funded Assistance Projects on the Availability of New Warfighting Capabilities 2025 Naval Postgraduate Paper- Assessing the Impact of Department of Defense Weapons Systems on the Defense Industrial Base Hosted on Acast. See acast.com/privacy for more information.

In this episode of Better Business, Better Life, Debra Chantry-Taylor is joined by Marisa Smith, EOS Implementer and co-author of the new book Rollout, to explore The Psychology Behind Successful EOS Adoption. While many leadership teams implement EOS tools, far fewer successfully embed them across the entire organisation. Marisa shares her journey from software entrepreneur to EOS Worldwide marketing director and now implementer, revealing why self-implementation often stalls and why context, patience, and repetition are essential for lasting traction. Together, Debra and Marisa unpack the four-phase rollout roadmap: prepare, launch, integrate, and sustain. They discuss why the accountability chart and Vision-Traction Organizer are foundational, how leaders must master the tools before teaching them, and why change management is more psychological than procedural. The conversation also dives into the neuroscience of change, the importance of repetition, and the leadership discipline required to reach 100% strong. If you have ever wondered why EOS works brilliantly in some organisations and fizzles in others, this episode explains the human side behind successful adoption.    CONNECT WITH DEBRA:         ___________________________________________         ►Debra Chantry-Taylor is a Certified EOS Implementer | Entrepreneurial Leadership & Business Coach | Business Owner ►Connect with Debra: debra@businessaction.com.au  ►See how she can help you: https://businessaction.co.nz/ ►Claim Your Free E-Book: https://www.businessaction.co.nz/free-e-book/ ___________________________________________        ► Marisa Smith – LinkedIn: https://www.linkedin.com/in/marisabsmith/   ► Website: https://www.marisa-smith.com/    Episode 259 Chapters:    00:00 – Introduction  02:02 – Marisa's Entrepreneurial Journey   04:59 – Transition to EOS and Becoming an Implementer   07:19 – Challenges and Benefits of Rolling Out EOS   10:58 – The Importance of Context and Preparation   12:26 – Practical Tools and Tips for Rollout   12:43 – The Role of an Implementer   16:20 – The Psychology of EOS   25:17 – The Journey to 100% Strong   32:22 – Final Thoughts and Resources 

AI is reshaping distributor CRM — but only when backed by the right platform strategy. In this episode of MDM Amplify, LeadSmart Co-Founder CEO Kevin Brown breaks down smart AI adoption, data integration and how distributors can turn customer intelligence into measurable growth. We also touch on his 30 years of perspective in the industrial supply channel and share takeaways from NAW's 2026 Executive Summit.

Emmanuel et Guillaume discutent de divers sujets liés à la programmation, notamment les systèmes de fichiers en Java, le Data Oriented Programming, les défis de JPA avec Kotlin, et les nouvelles fonctionnalités de Quarkus. Ils explorent également des sujets un peu fous comme la création de datacenters dans l'espace. Pas mal d'architecture aussi. Enregistré le 13 février 2026 Téléchargement de l'épisode LesCastCodeurs-Episode-337.mp3 ou en vidéo sur YouTube. News Langages Comment implémenter un file system en Java https://foojay.io/today/bootstrapping-a-java-file-system/ Créer un système de fichiers Java personnalisé avec NIO.2 pour des usages variés (VCS, archives, systèmes distants). Évolution Java: java.io.File (1.0) -> NIO (1.4) -> NIO.2 (1.7) pour personnalisation via FileSystem. Recommander conception préalable; API Java est orientée POSIX. Composants clés à considérer: Conception URI (scheme unique, chemin). Gestion de l'arborescence (BD, métadonnées, efficacité). Stockage binaire (emplacement, chiffrement, versions). Minimum pour démarrer (4 composants): Implémenter Path (représente fichier/répertoire). Étendre FileSystem (instance du système). Étendre FileSystemProvider (moteur, enregistré par scheme). Enregistrer FileSystemProvider via META-INF/services. Étapes suivantes: Couche BD (arborescence), opérations répertoire/fichier de base, stockage, tests. Processus long et exigeant, mais gratifiant.   Un article de brian goetz sur le futur du data oriented programming en Java https://openjdk.org/projects/amber/design-notes/beyond-records Le projet Amber de Java introduit les "carrier classes", une évolution des records qui permet plus de flexibilité tout en gardant les avantages du pattern matching et de la reconstruction Les records imposent des contraintes strictes (immutabilité, représentation exacte de l'état) qui limitent leur usage pour des classes avec état muable ou dérivé Les carrier classes permettent de déclarer une state description complète et canonique sans imposer que la représentation interne corresponde exactement à l'API publique Le modificateur "component" sur les champs permet au compilateur de dériver automatiquement les accesseurs pour les composants alignés avec la state description Les compact constructors sont généralisés aux carrier classes, générant automatiquement l'initialisation des component fields Les carrier classes supportent la déconstruction via pattern matching comme les records, rendant possible leur usage dans les instanceof et switch Les carrier interfaces permettent de définir une state description sur une interface, obligeant les implémentations à fournir les accesseurs correspondants L'extension entre carrier classes est possible, avec dérivation automatique des appels super() quand les composants parent sont subsumés par l'enfant Les records deviennent un cas particulier de carrier classes avec des contraintes supplémentaires (final, extends Record, component fields privés et finaux obligatoires) L'évolution compatible des records est améliorée en permettant l'ajout de composants en fin de liste et la déconstruction partielle par préfixe Comment éviter les pièges courants avec JPA et Kotlin - https://blog.jetbrains.com/idea/2026/01/how-to-avoid-common-pitfalls-with-jpa-and-kotlin/ JPA est une spécification Java pour la persistance objet-relationnel, mais son utilisation avec Kotlin présente des incompatibilités dues aux différences de conception des deux langages Les classes Kotlin sont finales par défaut, ce qui empêche la création de proxies par JPA pour le lazy loading et les opérations transactionnelles Le plugin kotlin-jpa génère automatiquement des constructeurs sans argument et rend les classes open, résolvant les problèmes de compatibilité Les data classes Kotlin ne sont pas adaptées aux entités JPA car elles génèrent equals/hashCode basés sur tous les champs, causant des problèmes avec les relations lazy L'utilisation de lateinit var pour les relations peut provoquer des exceptions si on accède aux propriétés avant leur initialisation par JPA Les types non-nullables Kotlin peuvent entrer en conflit avec le comportement de JPA qui initialise les entités avec des valeurs null temporaires Le backing field direct dans les getters/setters personnalisés peut contourner la logique de JPA et casser le lazy loading IntelliJ IDEA 2024.3 introduit des inspections pour détecter automatiquement ces problèmes et propose des quick-fixes L'IDE détecte les entités finales, les data classes inappropriées, les problèmes de constructeurs et l'usage incorrect de lateinit Ces nouvelles fonctionnalités aident les développeurs à éviter les bugs subtils liés à l'utilisation de JPA avec Kotlin Librairies Guide sur MapStruct @IterableMapping - https://www.baeldung.com/java-mapstruct-iterablemapping MapStruct est une bibliothèque Java pour générer automatiquement des mappers entre beans, l'annotation @IterableMapping permet de configurer finement le mapping de collections L'attribut dateFormat permet de formater automatiquement des dates lors du mapping de listes sans écrire de boucle manuelle L'attribut qualifiedByName permet de spécifier quelle méthode custom appliquer sur chaque élément de la collection à mapper Exemple d'usage : filtrer des données sensibles comme des mots de passe en mappant uniquement certains champs via une méthode dédiée L'attribut nullValueMappingStrategy permet de contrôler le comportement quand la collection source est null (retourner null ou une collection vide) L'annotation fonctionne pour tous types de collections Java (List, Set, etc.) et génère le code de boucle nécessaire Possibilité d'appliquer des formats numériques avec numberFormat pour convertir des nombres en chaînes avec un format spécifique MapStruct génère l'implémentation complète du mapper au moment de la compilation, éliminant le code boilerplate L'annotation peut être combinée avec @Named pour créer des méthodes de mapping réutilisables et nommées Le mapping des collections supporte les conversions de types complexes au-delà des simples conversions de types primitifs Accès aux fichiers Samba depuis Java avec JCIFS - https://www.baeldung.com/java-samba-jcifs JCIFS est une bibliothèque Java permettant d'accéder aux partages Samba/SMB sans monter de lecteur réseau, supportant le protocole SMB3 on pense aux galériens qui doivent se connecter aux systèmes dit legacy La configuration nécessite un contexte CIFS (CIFSContext) et des objets SmbFile pour représenter les ressources distantes L'authentification se fait via NtlmPasswordAuthenticator avec domaine, nom d'utilisateur et mot de passe La bibliothèque permet de lister les fichiers et dossiers avec listFiles() et vérifier leurs propriétés (taille, date de modification) Création de fichiers avec createNewFile() et de dossiers avec mkdir() ou mkdirs() pour créer toute une arborescence Suppression via delete() qui peut parcourir et supprimer récursivement des arborescences entières Copie de fichiers entre partages Samba avec copyTo(), mais impossibilité de copier depuis le système de fichiers local Pour copier depuis le système local, utilisation des streams SmbFileInputStream et SmbFileOutputStream Les opérations peuvent cibler différents serveurs Samba et différents partages (anonymes ou protégés par mot de passe) La bibliothèque s'intègre dans des blocs try-with-resources pour une gestion automatique des ressources Quarkus 3.31 - Support complet Java 25, nouveau packaging Maven et Panache Next - https://quarkus.io/blog/quarkus-3-31-released/ Support complet de Java 25 avec images runtime et native Nouveau packaging Maven de type quarkus avec lifecycle optimisé pour des builds plus rapides voici un article complet pour plus de detail https://quarkus.io/blog/building-large-applications/ Introduction de Panache Next, nouvelle génération avec meilleure expérience développeur et API unifiée ORM/Reactive Mise à jour vers Hibernate ORM 7.2, Reactive 3.2, Search 8.2 Support de Hibernate Spatial pour les données géospatiales Passage à Testcontainers 2 et JUnit 6 Annotations de sécurité supportées sur les repositories Jakarta Data Chiffrement des tokens OIDC pour les implémentations custom TokenStateManager Support OAuth 2.0 Pushed Authorization Requests dans l'extension OIDC Maven 3.9 maintenant requis minimum pour les projets Quarkus A2A Java SDK 1.0.0.Alpha1 - Alignement avec la spécification 1.0 du protocole Agent2Agent - https://quarkus.io/blog/a2a-java-sdk-1-0-0-alpha1/ Le SDK Java A2A implémente le protocole Agent2Agent qui permet la communication standardisée entre agents IA pour découvrir des capacités, déléguer des tâches et collaborer Passage à la version 1.0 de la spécification marque la transition d'expérimental à production-ready avec des changements cassants assumés Modernisation complète du module spec avec des Java records partout remplaçant le mix précédent de classes et records pour plus de cohérence Adoption de Protocol Buffers comme source de vérité avec des mappers MapStruct pour la conversion et Gson pour JSON-RPC Les builders utilisent maintenant des méthodes factory statiques au lieu de constructeurs publics suivant les best practices Java modernes Introduction de trois BOMs Maven pour simplifier la gestion des dépendances du SDK core, des extensions et des implémentations de référence Quarkus AgentCard évolue avec une liste supportedInterfaces remplaçant url et preferredTransport pour plus de flexibilité dans la déclaration des protocoles Support de la pagination ajouté pour ListTasks et les endpoints de configuration des notifications push avec des wrappers Result appropriés Interface A2AHttpClient pluggable permettant des implémentations HTTP personnalisées avec une implémentation Vert.x fournie Travail continu vers la conformité complète avec le TCK 1.0 en cours de développement parallèlement à la finalisation de la spécification Pourquoi Quarkus finit par "cliquer" : les 10 questions que se posent les développeurs Java - https://www.the-main-thread.com/p/quarkus-java-developers-top-questions-2025 un article qui revele et repond aux questions des gens qui ont utilisé Quarkus depuis 4-6 mois, les non noob questions Quarkus est un framework Java moderne optimisé pour le cloud qui propose des temps de démarrage ultra-rapides et une empreinte mémoire réduite Pourquoi Quarkus démarre si vite ? Le framework effectue le travail lourd au moment du build (scanning, indexation, génération de bytecode) plutôt qu'au runtime Quand utiliser le mode réactif plutôt qu'impératif ? Le réactif est pertinent pour les workloads avec haute concurrence et dominance I/O, l'impératif reste plus simple dans les autres cas Quelle est la différence entre Dev Services et Testcontainers ? Dev Services utilise Testcontainers en gérant automatiquement le cycle de vie, les ports et la configuration sans cérémonie Comment la DI de Quarkus diffère de Spring ? CDI est un standard basé sur la sécurité des types et la découverte au build-time, différent de l'approche framework de Spring Comment gérer la configuration entre environnements ? Quarkus permet de scaler depuis le développement local jusqu'à Kubernetes avec des profils, fichiers multiples et configuration externe Comment tester correctement les applications Quarkus ? @QuarkusTest démarre l'application une fois pour toute la suite de tests, changeant le modèle mental par rapport à Spring Boot Que fait vraiment Panache en coulisses ? Panache est du JPA avec des opinions fortes et des défauts propres, enveloppant Hibernate avec un style Active Record Doit-on utiliser les images natives et quand ? Les images natives brillent pour le serverless et l'edge grâce au démarrage rapide et la faible empreinte mémoire, mais tous les apps n'en bénéficient pas Comment Quarkus s'intègre avec Kubernetes ? Le framework génère automatiquement les ressources Kubernetes, gère les health checks et métriques comme s'il était nativement conçu pour cet écosystème Comment intégrer l'IA dans une application Quarkus ? LangChain4j permet d'ajouter embeddings, retrieval, guardrails et observabilité directement en Java sans passer par Python Infrastructure Les alternatives à MinIO https://rmoff.net/2026/01/14/alternatives-to-minio-for-single-node-local-s3/ MinIO a abandonné le support single-node fin 2025 pour des raisons commerciales, cassant de nombreuses démos et pipelines CI/CD qui l'utilisaient pour émuler S3 localement L'auteur cherche un remplacement simple avec image Docker, compatibilité S3, licence open source, déploiement mono-nœud facile et communauté active S3Proxy est très léger et facile à configurer, semble être l'option la plus simple mais repose sur un seul contributeur RustFS est facile à utiliser et inclut une GUI, mais c'est un projet très récent en version alpha avec une faille de sécurité majeure récente SeaweedFS existe depuis 2012 avec support S3 depuis 2018, relativement facile à configurer et dispose d'une interface web basique Zenko CloudServer remplace facilement MinIO mais la documentation et le branding (cloudserver/zenko/scality) peuvent prêter à confusion Garage nécessite une configuration complexe avec fichier TOML et conteneur d'initialisation séparé, pas un simple remplacement drop-in Apache Ozone requiert au minimum quatre nœuds pour fonctionner, beaucoup trop lourd pour un usage local simple L'auteur recommande SeaweedFS et S3Proxy comme remplaçants viables, RustFS en maybe, et élimine Garage et Ozone pour leur complexité Garage a une histoire tres associative, il vient du collectif https://deuxfleurs.fr/ qui offre un cloud distribué sans datacenter C'est certainement pas une bonne idée, les datacenters dans l'espace https://taranis.ie/datacenters-in-space-are-a-terrible-horrible-no-good-idea/ Avis d'expert (ex-NASA/Google, Dr en électronique spatiale) : Centres de données spatiaux, une "terrible" idée. Incompatibilité fondamentale : L'électronique (surtout IA/GPU) est inadaptée à l'environnement spatial. Énergie : Accès limité. Le solaire (type ISS) est insuffisant pour l'échelle de l'IA. Le nucléaire (RTG) est trop faible. Refroidissement : L'espace n'est pas "froid" ; absence de convection. Nécessite des radiateurs gigantesques (ex: 531m² pour 200kW). Radiations : Provoque erreurs (SEU, SEL) et dommages. Les GPU sont très vulnérables. Blindage lourd et inefficace. Les puces "durcies" sont très lentes. Communications : Bande passante très limitée (1Gbps radio vs 100Gbps terrestre). Le laser est tributaire des conditions atmosphériques. Conclusion : Projet extrêmement difficile, coûteux et aux performances médiocres. Data et Intelligence Artificielle Guillaume a développé un serveur MCP pour arXiv (le site de publication de papiers de recherche) en Java avec le framework Quarkus https://glaforge.dev/posts/2026/01/18/implementing-an-arxiv-mcp-server-with-quarkus-in-java/ Implémentation d'un serveur MCP (Model Context Protocol) arXiv en Java avec Quarkus. Objectif : Accéder aux publications arXiv et illustrer les fonctionnalités moins connues du protocole MCP. Mise en œuvre : Utilisation du framework Quarkus (Java) et son support MCP étendu. Assistance par Antigravity (IDE agentique) pour le développement et l'intégration de l'API arXiv. Interaction avec l'API arXiv : requêtes HTTP, format XML Atom pour les résultats, parser XML Jackson. Fonctionnalités MCP exposées : Outils (@Tool) : Recherche de publications (search_papers). Ressources (@Resource, @ResourceTemplate) : Taxonomie des catégories arXiv, métadonnées des articles (via un template d'URI). Prompts (@Prompt) : Exemples pour résumer des articles ou construire des requêtes de recherche. Configuration : Le serveur peut fonctionner en STDIO (local) ou via HTTP Streamable (local ou distant), avec une configuration simple dans des clients comme Gemini CLI. Conclusion : Quarkus simplifie la création de serveurs MCP riches en fonctionnalités, rendant les données et services "prêts pour l'IA" avec l'aide d'outils d'IA comme Antigravity. Anthropic ne mettra pas de pub dans Claude https://www.anthropic.com/news/claude-is-a-space-to-think c'est en reaction au plan non public d'OpenAi de mettre de la pub pour pousser les gens au mode payant OpenAI a besoin de cash et est probablement le plus utilisé pour gratuit au monde Anthropic annonce que Claude restera sans publicité pour préserver son rôle d'assistant conversationnel dédié au travail et à la réflexion approfondie. Les conversations avec Claude sont souvent sensibles, personnelles ou impliquent des tâches complexes d'ingénierie logicielle où les publicités seraient inappropriées. L'analyse des conversations montre qu'une part significative aborde des sujets délicats similaires à ceux évoqués avec un conseiller de confiance. Un modèle publicitaire créerait des incitations contradictoires avec le principe fondamental d'être "genuinely helpful" inscrit dans la Constitution de Claude. Les publicités introduiraient un conflit d'intérêt potentiel où les recommandations pourraient être influencées par des motivations commerciales plutôt que par l'intérêt de l'utilisateur. Le modèle économique d'Anthropic repose sur les contrats entreprise et les abonnements payants, permettant de réinvestir dans l'amélioration de Claude. Anthropic maintient l'accès gratuit avec des modèles de pointe et propose des tarifs réduits pour les ONG et l'éducation dans plus de 60 pays. Le commerce "agentique" sera supporté mais uniquement à l'initiative de l'utilisateur, jamais des annonceurs, pour préserver la confiance. Les intégrations tierces comme Figma, Asana ou Canva continueront d'être développées en gardant l'utilisateur aux commandes. Anthropic compare Claude à un cahier ou un tableau blanc : des espaces de pensée purs, sans publicité. Infinispan 16.1 est sorti https://infinispan.org/blog/2026/02/04/infinispan-16-1 déjà le nom de la release mérite une mention Le memory bounded par cache et par ensemble de cache s est pas facile à faire en Java Une nouvelle api OpenAPI AOT caché dans les images container Un serveur MCP local juste avec un fichier Java ? C'est possible avec LangChain4j et JBang https://glaforge.dev/posts/2026/02/11/zero-boilerplate-java-stdio-mcp-servers-with-langchain4j-and-jbang/ Création rapide de serveurs MCP Java sans boilerplate. MCP (Model Context Protocol): standard pour connecter les LLM à des outils et données. Le tutoriel répond au manque d'options simples pour les développeurs Java, face à une prédominance de Python/TypeScript dans l'écosystème MCP. La solution utilise: LangChain4j: qui intègre un nouveau module serveur MCP pour le protocole STDIO. JBang: permet d'exécuter des fichiers Java comme des scripts, éliminant les fichiers de build (pom.xml, Gradle). Implémentation: se fait via un seul fichier .java. JBang gère automatiquement les dépendances (//DEPS). L'annotation @Tool de LangChain4j expose les méthodes Java aux LLM. StdioMcpServerTransport gère la communication JSON-RPC via l'entrée/sortie standard (STDIO). Point crucial: Les logs doivent impérativement être redirigés vers System.err pour éviter de corrompre System.out, qui est réservé à la communication MCP (messages JSON-RPC). Facilite l'intégration locale avec des outils comme Gemini CLI, Claude Code, etc. Reciprocal Rank Fusion : un algorithme utile et souvent utilisé pour faire de la recherche hybride, pour mélanger du RAG et des recherches par mots-clé https://glaforge.dev/posts/2026/02/10/advanced-rag-understanding-reciprocal-rank-fusion-in-hybrid-search/ RAG : Qualité LLM dépend de la récupération. Recherche Hybride : Combiner vectoriel et mots-clés (BM25) est optimal. Défi : Fusionner des scores d'échelles différentes. Solution : Reciprocal Rank Fusion (RRF). RRF : Algorithme robuste qui fusionne des listes de résultats en se basant uniquement sur le rang des documents, ignorant les scores. Avantages RRF : Pas de normalisation de scores, scalable, excellente première étape de réorganisation. Architecture RAG fréquente : RRF (large sélection) + Cross-Encoder / modèle de reranking (précision fine). RAG-Fusion : Utilise un LLM pour générer plusieurs variantes de requête, puis RRF agrège tous les résultats pour renforcer le consensus et réduire les hallucinations. Implémentation : LangChain4j utilise RRF par défaut pour agréger les résultats de plusieurs retrievers. Les dernières fonctionnalités de Gemini et Nano Banana supportées dans LangChain4j https://glaforge.dev/posts/2026/02/06/latest-gemini-and-nano-banana-enhancements-in-langchain4j/ Nouveaux modèles d'images Nano Banana (Gemini 2.5/3.0) pour génération et édition (jusqu'à 4K). "Grounding" via Google Search (pour images et texte) et Google Maps (localisation, Gemini 2.5). Outil de contexte URL (Gemini 3.0) pour lecture directe de pages web. Agents multimodaux (AiServices) capables de générer des images. Configuration de la réflexion (profondeur Chain-of-Thought) pour Gemini 3.0. Métadonnées enrichies : usage des tokens et détails des sources de "grounding". Comment configurer Gemini CLI comment agent de code dans IntelliJ grâce au protocole ACP https://glaforge.dev/posts/2026/02/01/how-to-integrate-gemini-cli-with-intellij-idea-using-acp/ But : Intégrer Gemini CLI à IntelliJ IDEA via l'Agent Client Protocol (ACP). Prérequis : IntelliJ IDEA 2025.3+, Node.js (v20+), Gemini CLI. Étapes : Installer Gemini CLI (npm install -g @google/gemini-cli). Localiser l'exécutable gemini. Configurer ~/.jetbrains/acp.json (chemin exécutable, --experimental-acp, use_idea_mcp: true). Redémarrer IDEA, sélectionner "Gemini CLI" dans l'Assistant IA. Usage : Gemini interagit avec le code et exécute des commandes (contexte projet). Important : S'assurer du flag --experimental-acp dans la configuration. Outillage PipeNet, une alternative (open source aussi) à LocalTunnel, mais un plus évoluée https://pipenet.dev/ pipenet: Alternative open-source et moderne à localtunnel (client + serveur). Usages: Développement local (partage, webhooks), intégration SDK, auto-hébergement sécurisé. Fonctionnalités: Client (expose ports locaux, sous-domaines), Serveur (déploiement, domaines personnalisés, optimisé cloud mono-port). Avantages vs localtunnel: Déploiement cloud sur un seul port, support multi-domaines, TypeScript/ESM, maintenance active. Protocoles: HTTP/S, WebSocket, SSE, HTTP Streaming. Intégration: CLI ou SDK JavaScript. JSON-IO — une librairie comme Jackson ou GSON, supportant JSON5, TOON, et qui pourrait être utile pour l'utilisation du "structured output" des LLMs quand ils ne produisent pas du JSON parfait https://github.com/jdereg/json-io json-io : Librairie Java pour la sérialisation et désérialisation JSON/TOON. Gère les graphes d'objets complexes, les références cycliques et les types polymorphes. Support complet JSON5 (lecture et écriture), y compris des fonctionnalités non prises en charge par Jackson/Gson. Format TOON : Notation orientée token, optimisée pour les LLM, réduisant l'utilisation de tokens de 40 à 50% par rapport au JSON. Légère : Aucune dépendance externe (sauf java-util), taille de JAR réduite (~330K). Compatible JDK 1.8 à 24, ainsi qu'avec les environnements JPMS et OSGi. Deux modes de conversion : vers des objets Java typés (toJava()) ou vers des Map (toMaps()). Options de configuration étendues via ReadOptionsBuilder et WriteOptionsBuilder. Optimisée pour les déploiements cloud natifs et les architectures de microservices. Utiliser mailpit et testcontainer pour tester vos envois d'emails https://foojay.io/today/testing-emails-with-testcontainers-and-mailpit/ l'article montre via SpringBoot et sans. Et voici l'extension Quarkus https://quarkus.io/extensions/io.quarkiverse.mailpit/quarkus-mailpit/?tab=docs Tester l'envoi d'emails en développement est complexe car on ne peut pas utiliser de vrais serveurs SMTP Mailpit est un serveur SMTP de test qui capture les emails et propose une interface web pour les consulter Testcontainers permet de démarrer Mailpit dans un conteneur Docker pour les tests d'intégration L'article montre comment configurer une application SpringBoot pour envoyer des emails via JavaMail Un module Testcontainers dédié à Mailpit facilite son intégration dans les tests Le conteneur Mailpit expose un port SMTP (1025) et une API HTTP (8025) pour vérifier les emails reçus Les tests peuvent interroger l'API HTTP de Mailpit pour valider le contenu des emails envoyés Cette approche évite d'utiliser des mocks et teste réellement l'envoi d'emails Mailpit peut aussi servir en développement local pour visualiser les emails sans les envoyer réellement La solution fonctionne avec n'importe quel framework Java supportant JavaMail Architecture Comment scaler un système de 0 à 10 millions d'utilisateurs https://blog.algomaster.io/p/scaling-a-system-from-0-to-10-million-users Philosophie : Scalabilité incrémentale, résoudre les goulots d'étranglement sans sur-ingénierie. 0-100 utilisateurs : Serveur unique (app, DB, jobs). 100-1K : Séparer app et DB (services gérés, pooling). 1K-10K : Équilibreur de charge, multi-serveurs d'app (stateless via sessions partagées). 10K-100K : Caching, réplicas de lecture DB, CDN (réduire charge DB). 100K-500K : Auto-scaling, applications stateless (authentification JWT). 500K-10M : Sharding DB, microservices, files de messages (traitement asynchrone). 10M+ : Déploiement multi-régions, CQRS, persistance polyglotte, infra personnalisée. Principes clés : Simplicité, mesure, stateless essentiel, cache/asynchrone, sharding prudent, compromis (CAP), coût de la complexité. Patterns d'Architecture 2026 - Du Hype à la Réalité du Terrain (Part 1/2) - https://blog.ippon.fr/2026/01/30/patterns-darchitecture-2026-part-1/ L'article présente quatre patterns d'architecture logicielle pour répondre aux enjeux de scalabilité, résilience et agilité business dans les systèmes modernes Il présentent leurs raisons et leurs pièges Un bon rappel L'Event-Driven Architecture permet une communication asynchrone entre systèmes via des événements publiés et consommés, évitant le couplage direct Les bénéfices de l'EDA incluent la scalabilité indépendante des composants, la résilience face aux pannes et l'ajout facile de nouveaux cas d'usage Le pattern API-First associé à un API Gateway centralise la sécurité, le routage et l'observabilité des APIs avec un catalogue unifié Le Backend for Frontend crée des APIs spécifiques par canal (mobile, web, partenaires) pour optimiser l'expérience utilisateur CQRS sépare les modèles de lecture et d'écriture avec des bases optimisées distinctes, tandis que l'Event Sourcing stocke tous les événements plutôt que l'état actuel Le Saga Pattern gère les transactions distribuées via orchestration centralisée ou chorégraphie événementielle pour coordonner plusieurs microservices Les pièges courants incluent l'explosion d'événements granulaires, la complexité du debugging distribué, et la mauvaise gestion de la cohérence finale Les technologies phares sont Kafka pour l'event streaming, Kong pour l'API Gateway, EventStoreDB pour l'Event Sourcing et Temporal pour les Sagas Ces patterns nécessitent une maturité technique et ne sont pas adaptés aux applications CRUD simples ou aux équipes junior Patterns d'architecture 2026 : du hype à la réalité terrain part. 2 - https://blog.ippon.fr/2026/02/04/patterns-darchitecture-2026-part-2/ Deuxième partie d'un guide pratique sur les patterns d'architecture logicielle et système éprouvés pour moderniser et structurer les applications en 2026 Strangler Fig permet de migrer progressivement un système legacy en l'enveloppant petit à petit plutôt que de tout réécrire d'un coup (70% d'échec pour les big bang) Anti-Corruption Layer protège votre nouveau domaine métier des modèles externes et legacy en créant une couche de traduction entre les systèmes Service Mesh gère automatiquement la communication inter-services dans les architectures microservices (sécurité mTLS, observabilité, résilience) Architecture Hexagonale sépare le coeur métier des détails techniques via des ports et adaptateurs pour améliorer la testabilité et l'évolutivité Chaque pattern est illustré par un cas client concret avec résultats mesurables et liste des pièges à éviter lors de l'implémentation Les technologies 2026 mentionnées incluent Istio, Linkerd pour service mesh, LaunchDarkly pour feature flags, NGINX et Kong pour API gateway Tableau comparatif final aide à choisir le bon pattern selon la complexité, le scope et le use case spécifique du projet L'article insiste sur une approche pragmatique : ne pas utiliser un pattern juste parce qu'il est moderne mais parce qu'il résout un problème réel Pour les systèmes simples type CRUD ou avec peu de services, ces patterns peuvent introduire une complexité inutile qu'il faut savoir éviter Méthodologies Le rêve récurrent de remplacer voire supprimer les développeurs https://www.caimito.net/en/blog/2025/12/07/the-recurring-dream-of-replacing-developers.html Depuis 1969, chaque décennie voit une tentative de réduire le besoin de développeurs (de COBOL, UML, visual builders… à IA). Motivation : frustration des dirigeants face aux délais et coûts de développement. La complexité logicielle est intrinsèque et intellectuelle, non pas une question d'outils. Chaque vague technologique apporte de la valeur mais ne supprime pas l'expertise humaine. L'IA assiste les développeurs, améliore l'efficacité, mais ne remplace ni le jugement ni la gestion de la complexité. La demande de logiciels excède l'offre car la contrainte majeure est la réflexion nécessaire pour gérer cette complexité. Pour les dirigeants : les outils rendent-ils nos développeurs plus efficaces sur les problèmes complexes et réduisent-ils les tâches répétitives ? Le "rêve" de remplacer les développeurs, irréalisable, est un moteur d'innovation créant des outils précieux. Comment creuser des sujets à l'ère de l'IA générative. Quid du partage et la curation de ces recherches ? https://glaforge.dev/posts/2026/02/04/researching-topics-in-the-age-of-ai-rock-solid-webhooks-case-study/ Recherche initiale de l'auteur sur les webhooks en 2019, processus long et manuel. L'IA (Deep Research, Gemini, NotebookLM) facilite désormais la recherche approfondie, l'exploration de sujets et le partage des résultats. L'IA a identifié et validé des pratiques clés pour des déploiements de webhooks résilients, en grande partie les mêmes que celles trouvées précédemment par l'auteur. Génération d'artefacts par l'IA : rapport détaillé, résumé concis, illustration sketchnote, et même une présentation (slide deck). Guillaume s'interroge sur le partage public de ces rapports de recherche générés par l'IA, tout en souhaitant éviter le "AI Slop". Loi, société et organisation Le logiciel menacé par le vibe coding https://www.techbuzz.ai/articles/we-built-a-monday-com-clone-in-under-an-hour-with-ai Deux journalistes de CNBC sans expérience de code ont créé un clone fonctionnel de Monday.com en moins de 60 minutes pour 5 à 15 dollars. L'expérience valide les craintes des investisseurs qui ont provoqué une baisse de 30% des actions des entreprises SaaS. L'IA a non seulement reproduit les fonctionnalités de base mais a aussi recherché Monday.com de manière autonome pour identifier et recréer ses fonctionnalités clés. Cette technique appelée "vibe-coding" permet aux non-développeurs de construire des applications via des instructions en anglais courant. Les entreprises les plus vulnérables sont celles offrant des outils "qui se posent sur le travail" comme Atlassian, Adobe, HubSpot, Zendesk et Smartsheet. Les entreprises de cybersécurité comme CrowdStrike et Palo Alto sont considérées plus protégées grâce aux effets de réseau et aux barrières réglementaires. Les systèmes d'enregistrement comme Salesforce restent plus difficiles à répliquer en raison de leur profondeur d'intégration et de données d'entreprise. Le coût de 5 à 15 dollars par construction permet aux entreprises de prototyper plusieurs solutions personnalisées pour moins cher qu'une seule licence Monday.com. L'expérience soulève des questions sur la pérennité du marché de 5 milliards de dollars des outils de gestion de projet face à l'IA générative. Conférences En complément de l'agenda des conférences de Aurélie Vache, il y a également le site https://javaconferences.org/ (fait par Brian Vermeer) avec toutes les conférences Java à venir ! La liste des conférences provenant de Developers Conferences Agenda/List par Aurélie Vache et contributeurs : 12-13 février 2026 : Touraine Tech #26 - Tours (France) 12-13 février 2026 : World Artificial Intelligence Cannes Festival - Cannes (France) 19 février 2026 : ObservabilityCON on the Road - Paris (France) 6 mars 2026 : WordCamp Nice 2026 - Nice (France) 18 mars 2026 : Jupyter Workshops: AI in Jupyter: Building Extensible AI Capabilities for Interactive Computing - Saint-Maur-des-Fossés (France) 18-19 mars 2026 : Agile Niort 2026 - Niort (France) 20 mars 2026 : Atlantique Day 2026 - Nantes (France) 26 mars 2026 : Data Days Lille - Lille (France) 26-27 mars 2026 : SymfonyLive Paris 2026 - Paris (France) 26-27 mars 2026 : REACT PARIS - Paris (France) 27-29 mars 2026 : Shift - Nantes (France) 31 mars 2026 : ParisTestConf - Paris (France) 31 mars 2026-1 avril 2026 : FlowCon France 2026 - Paris (France) 1 avril 2026 : AWS Summit Paris - Paris (France) 2 avril 2026 : Pragma Cannes 2026 - Cannes (France) 2-3 avril 2026 : Xen Spring Meetup 2026 - Grenoble (France) 7 avril 2026 : PyTorch Conference Europe - Paris (France) 9-10 avril 2026 : Android Makers by droidcon 2026 - Paris (France) 9-11 avril 2026 : Drupalcamp Grenoble 2026 - Grenoble (France) 16-17 avril 2026 : MiXiT 2026 - Lyon (France) 17-18 avril 2026 : Faiseuses du Web 5 - Dinan (France) 22-24 avril 2026 : Devoxx France 2026 - Paris (France) 23-25 avril 2026 : Devoxx Greece - Athens (Greece) 6-7 mai 2026 : Devoxx UK 2026 - London (UK) 12 mai 2026 : Lead Innovation Day - Leadership Edition - Paris (France) 19 mai 2026 : La Product Conf Paris 2026 - Paris (France) 21-22 mai 2026 : Flupa UX Days 2026 - Paris (France) 22 mai 2026 : AFUP Day 2026 Lille - Lille (France) 22 mai 2026 : AFUP Day 2026 Paris - Paris (France) 22 mai 2026 : AFUP Day 2026 Bordeaux - Bordeaux (France) 22 mai 2026 : AFUP Day 2026 Lyon - Lyon (France) 28 mai 2026 : DevCon 27 : I.A. & Vibe Coding - Paris (France) 28 mai 2026 : Cloud Toulouse 2026 - Toulouse (France) 29 mai 2026 : NG Baguette Conf 2026 - Paris (France) 29 mai 2026 : Agile Tour Strasbourg 2026 - Strasbourg (France) 2-3 juin 2026 : Agile Tour Rennes 2026 - Rennes (France) 2-3 juin 2026 : OW2Con - Paris-Châtillon (France) 3 juin 2026 : IA–NA - La Rochelle (France) 5 juin 2026 : TechReady - Nantes (France) 5 juin 2026 : Fork it! - Rouen - Rouen (France) 6 juin 2026 : Polycloud - Montpellier (France) 9 juin 2026 : JFTL - Montrouge (France) 9 juin 2026 : C: - Caen (France) 11-12 juin 2026 : DevQuest Niort - Niort (France) 11-12 juin 2026 : DevLille 2026 - Lille (France) 12 juin 2026 : Tech F'Est 2026 - Nancy (France) 16 juin 2026 : Mobilis In Mobile 2026 - Nantes (France) 17-19 juin 2026 : Devoxx Poland - Krakow (Poland) 17-20 juin 2026 : VivaTech - Paris (France) 18 juin 2026 : Tech'Work - Lyon (France) 22-26 juin 2026 : Galaxy Community Conference - Clermont-Ferrand (France) 24-25 juin 2026 : Agi'Lille 2026 - Lille (France) 24-26 juin 2026 : BreizhCamp 2026 - Rennes (France) 2 juillet 2026 : Azur Tech Summer 2026 - Valbonne (France) 2-3 juillet 2026 : Sunny Tech - Montpellier (France) 3 juillet 2026 : Agile Lyon 2026 - Lyon (France) 6-8 juillet 2026 : Riviera Dev - Sophia Antipolis (France) 2 août 2026 : 4th Tech Summit on Artificial Intelligence & Robotics - Paris (France) 20-22 août 2026 : 4th Tech Summit on AI & Robotics - Paris (France) & Online 4 septembre 2026 : JUG Summer Camp 2026 - La Rochelle (France) 17-18 septembre 2026 : API Platform Conference 2026 - Lille (France) 24 septembre 2026 : PlatformCon Live Day Paris 2026 - Paris (France) 1 octobre 2026 : WAX 2026 - Marseille (France) 1-2 octobre 2026 : Volcamp - Clermont-Ferrand (France) 5-9 octobre 2026 : Devoxx Belgium - Antwerp (Belgium) Nous contacter Pour réagir à cet épisode, venez discuter sur le groupe Google https://groups.google.com/group/lescastcodeurs Contactez-nous via X/twitter https://twitter.com/lescastcodeurs ou Bluesky https://bsky.app/profile/lescastcodeurs.com Faire un crowdcast ou une crowdquestion Soutenez Les Cast Codeurs sur Patreon https://www.patreon.com/LesCastCodeurs Tous les épisodes et toutes les infos sur https://lescastcodeurs.com/

Die 352. IMR-Episode erscheint erneut gemeinsame mit der Bucerius Law School (Center on the Legal Profession / Bucerius Legal Innovation Hub). Zu Gast ist Prof. Dr. Madeleine Bernhardt und wir diskutieren gemeinsam, warum AI nicht nur ein Technologiethema ist, sondern vor allem ein Führungsthema. Es geht um die Frage, wie Kanzleien und Rechtsabteilungen AI sinnvoll implementieren und welche Rolle Emotionen, professionelle Identität und psychologische Sicherheit dabei spielen. Welche Auswirkungen hat es, dass Menschen KI-Systemen Absichten und Emotionen zuschreiben? Wie verändert sich kritisches Denken, wenn Chatbots Entwürfe bestätigen oder scheinbar objektiv Feedback geben? Und wie gelingt AI-Adoption in Partnerschaften mit unterschiedlichen Zukunftsbildern und Machtstrukturen? Anhand konkreter Beispiele aus dem Kanzleialltag erfahrt Ihr, wie Führungskräfte mit offenen Fragen, klaren Guardrails und einem Scientist Mindset Orientierung geben können. Viel Spaß!

Send a textStrengthened...  Partakers... Delivered... Translated...  Redeemed!!Hallelujah!  www.LeagueOfLogic.com

Date: Sunday, February 15, 2026 Title: Predestined for Adoption Scripture: Ephesians 1:4-6 Sermon by: Mark Davis Sermon Series: Ephesians: Walk in Love

Click here to send us a topic idea or question for Weekend Wisdom.Question: How do we handle an adoption that has been closed from the first mom's end? We don't even have a photo of her despite our request.Our #1 Secret Tip for Navigating Open Adoption5 Tips for Navigating Sticky Situations with Birth ParentsWho Holds the Power in Adoption: Birth Parents or Adoptive Parents?Where is Mommy? Helping Kids Cope with Absent ParentsSupport the showPlease leave us a rating or review. This podcast is produced by www.CreatingaFamily.org. We are a national non-profit with the mission to strengthen and inspire adoptive, foster & kinship parents and the professionals who support them.Creating a Family brings you the following trauma-informed, expert-based content: Weekly podcasts Weekly articles/blog posts Resource pages on all aspects of family building

My guests for this episode are Paul and Katie Bernard.  Whether you are thinking about foster care, whether you are in the trenches of foster care, or just curious, you will enjoy this conversation.  Paul and Katie have been foster parents of 15 children, 5 of which they have adopted. Resource: Connecting Bridges Facebook Group https://www.facebook.com/groups/CBMilwaukee 

The legendary surfer has grieved the deaths of her adoptive mother, stepmother and birth mother. Only later in life did she realise her drive to win came from a place of loss, and Layne needed to look inward to find her place off the podium.Layne is a legendary surfer who is the first person ever to win six consecutive world titles.Since her childhood spent on Sydney's Northern Beaches, Layne has loved being in the water but it wasn't until later in life that she realised her relentless drive to win came from a confusion about who she belonged with on land.Part of her drive to prove her worth and her place came from her experiences of loss.When Layne was 6 years old, her adopted mother Valerie died. Then, her step-mother Christina died after a long battle with breast cancer.Twenty years after Layne reconnected with her birth mother, Maggie, she flew to America to be by Maggie's side as she took her last breaths.Losing three mothers in one lifetime caused Layne to equate motherhood with loss and abandonment. But after retiring and learning to slow down, Layne turned inward and finally found herself along the way.Content warning: this episode of Conversations contains discussion of adoption and grief.Layne's memoir Beneath the Waves was written with Michael Gordon and published in 2009 by Penguin.Her latest book, Awake Academy, was written with Tess Brouwer and is published by Penguin.This episode of Conversations was produced by Meggie Morris. Executive Producer is Nicola Harrison.It explores grief, cancer, death, dying, surfing, pro surfers, Manly, Freshwater, Hawaii, Ken Bradshaw, Kelly Slater, Molly Picklum, Stephanie Gilmore, Kirk Pengilly, love, marriage, stepmother, motherhood, menopause, slowing down, fitness later in life, introspection, awake academy, meditation, beach, ovarian cancer, brain haemorrhage, fatherhood, Tess Brouwer, elite athletes, professional athletes.To binge even more great episodes of the Conversations podcast with Richard Fidler and Sarah Kanowski go the ABC listen app (Australia) or wherever you get your podcasts. There you'll find hundreds of the best thought-provoking interviews with authors, writers, artists, politicians, psychologists, musicians, and celebrities.

In this episode we look at how the Lord has adopted us into His family. When we're born again and give our lives to Christ, in covenant with Him, He brings us into His family, treating us not as a stranger but as a beloved child. We look at what it means to have the Spirit of adoption both working upon us and within us and how our new legal status should influence the way that we live our lives. We should make every effort to let the spiritually fatherless world all around us know that they have a loving Father who gave His all so they could have a spiritual home forever!

A U.S. Marine's adoption of an Afghan war orphan will stand. AP correspondent Ben Thomas reports.

What seems mundane today—walking into a supermarket, picking up goods, and paying at a checkout—was once a radical experiment. In our latest New Books Network episode, I speak with Andrew Godley about The Making of the Modern Supermarkett: Self-Service Adoption in British Food Retailing, 1950-1975 (Oxford UP, 2025), co-authored with Bridget Salmon, former archivist at J. Sainsbury plc. This is a book about far more than shopping. It is a history of technology, management, urban planning, consumer behaviour, and how everyday routines were quietly transformed in post-war Britain. Drawing on rare corporate archives, Godley and Salmon reveal how supermarkets were not inevitable but carefully designed organisations shaped by strategic choices, technological constraints, and shifting consumer expectations. In the conversation, we explore how self-service reshaped labour and productivity, why Sainsbury's distinctive commitment to fresh meat helped define the one-stop supermarket, and how planning initiatives such as the New Towns and Abercrombie's vision for London influenced retail geography. We also discuss early experiments with computerised ordering, the limits of technological modernisation, and what Sainsbury's story can—and cannot—tell us about the wider evolution of retailing in Britain and Europe. Finally, Andrew reflects on the surprises hidden in corporate archives and what the history of supermarkets can teach us about today's transformations—from online grocery shopping to automated checkouts. If you have ever wondered how the modern supermarket came to be—and what it reveals about capitalism, technology, and everyday life—this episode is for you. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

Click here to send us a topic idea or question for Weekend Wisdom.Did you know that the current reigning Miss Kentucky is a foster alum? We spoke with Ariana Rodriguez about her life leading up to the pageant circuit, what motivates her, and how her foundation, The Lucky Ones, is changing foster care experiences for foster kids in Kentucky.In this episode, we talk about:You made history as the first Miss Kentucky to have been in foster care. Can you start from the beginning and give us the story that led to this title?What was it like living with your grandparents? What were the positive changes? What was hardest about this time of your childhood? How did that time in kinship care help shape who you are today?Were you able to stay in touch with your siblings?What gaps or “pain points” for kids in foster care or kinship care did you experience in those years?How did these lived experiences begin to transform into a passion or mission for advocacy? Was there a pivotal moment when you said, “This is my platform”?What personal strengths emerged from your past that you leaned on (resilience, empathy, leadership, etc.)?How do your childhood and care-system experiences continue to inform your daily life, mindset, or choices?Are there challenges or triggers that still surface for you because of your past experiences? How do you navigate them?What are your relationships with your siblings like now? Tell us more about The Lucky OnesDo you have a specific story you can share that illustrates the impact of your work?Are you gaining new connections and collaborations to help further the mission of your platform?What's next for you, personally (as Miss Kentucky, as an advocate, as a leader)?What's next for The Lucky Ones? Are there new programs to launch, etc?What advice do you have for young people currently in the foster or kinship-care system who may feel uncertain about their future?For foster or relative caregivers?If you could speak directly to the decision-makers (legislators, social services, educators) about one thing to make a meaningful difference for foster/kinship care kids, what would that be?Support the showPlease leave us a rating or review. This podcast is produced by www.CreatingaFamily.org. We are a national non-profit with the mission to strengthen and inspire adoptive, foster & kinship parents and the professionals who support them.Creating a Family brings you the following trauma-informed, expert-based content: Weekly podcasts Weekly articles/blog posts Resource pages on all aspects of family building

Is Strategy actually doing nothing or is digital credit the product? This episode analyzes Strategy's Q4 2025 earnings call and explains why its perpetual preferred equity avoided margin calls, liquidations, and maturity risk. Pierre Rochard and Spencer Nichols break down why digital credit products like Stretch held near par while bitcoin drew down sharply. From credit ratings and cash buffers to Bitcoin-backed lending and quantum risk, this episode reframes what a Bitcoin treasury company really is.