Podcasts about predictive

Welcome back to MTP, where hosts David Clarke and Robert Kelly deliver the original, unfiltered NFL Power Rankings you can count on as we enter Week 9 of the 2025 NFL season. With playoff spots in sight and trade-deadline hype building, this episode reveals which teams are for real, which are fading fast, and how the national landscape is shifting.  

Featuring an interview from Dr John Strickler, including the following topics: Prognostic value of molecular residual disease (MRD) as detected by circulating tumor DNA (ctDNA) and optimal incorporation of MRD assays into the care of patients with colorectal cancer (0:00) Potential use of MRD assays for patients with microsatellite instability (MSI)-high localized colorectal cancer or those with delayed progression or metastatic disease (16:09) Tumor-informed MRD assays under clinical development (20:36) Predictive role of ctDNA in Stage III colon cancer treated with celecoxib; effect of low-dose aspirin on response to celecoxib in patients with PI3K pathway alterations (24:19) Case: A man in his late 50s with resected Stage IIA colon cancer (30:06) Case: A woman in her late 40s with Lynch syndrome and MSI-H colon cancer with a solitary, small hepatic metastasis (34:57) MRD as a future clinical trial endpoint for solid tumors; increasing incidence of colorectal cancer in younger people (40:24) Antibody-drug conjugates in the treatment of colorectal cancer (45:13) Perspectives on promising areas of clinical research in colorectal cancer (48:23) CME information and select publications

Featuring a slide presentation and related discussion from Dr John Strickler, including the following topics: Defining molecular residual disease (MRD); tumor-informed and tumor-naïve methods for assessing (0:00) GALAXY and BESPOKE CRC studies of a tumor-informed MRD assay to identify patients with localized colorectal cancer who have an increased risk of recurrence and those who are likely to benefit from adjuvant chemotherapy (6:56) Sustained circulating tumor DNA (ctDNA) clearance and disease-free survival outcomes for patients with localized colorectal cancer (13:21) DYNAMIC study of a ctDNA-guided approach to adjuvant chemotherapy for patients with Stage II colorectal cancer (16:17) ctDNA positivity and radiographic evidence of colorectal cancer (18:48) ctDNA-guided approaches to escalating or de-escalating adjuvant chemotherapy for patients with localized colorectal cancer (21:24) Predictive role of ctDNA assay results in Stage III colon cancer treated with celecoxib; low-dose aspirin for patients with Stage II to III colorectal cancer with a PI3K pathway alteration (26:02) CME information and select publications

Maternal care is at a breaking point: delivering hospitals are disappearing while deaths that could be prevented keep climbing. We pull back the curtain on how structural racism, policy headwinds, and technology blind spots compound risk for birthing people—especially Black, Hispanic, rural, and low‑income patients—and what it takes to change the trajectory now.We start by naming the problem with data: stable birth rates alongside a steep decline in maternity units have created care deserts. From there, we dig into disparities in obstetric anesthesia, including lower neuraxial labor analgesia use and higher rates of general anesthesia for cesarean delivery among Black and Hispanic patients. Drawing on ASA recommendations, we outline practical actions that reduce harm: accurate documentation of race, ethnicity, and language; disparities dashboards; education on bias and structural racism; shared decision making; and proactive epidural management to improve conversion to surgical anesthesia without general anesthesia.Then we turn to implementation science—the missing link between guidelines and reliable practice. We map a simple decision pathway from efficacy to effectiveness to context and strategy, and we share the real levers that move systems: targeted education, inter‑institutional collaboration, policy mechanisms like bundles, and the business case that earns C‑suite commitment. When leaders see the return on investment in safety, liability reduction, and community trust, sustained resources follow.Finally, we explore technology as an equity engine. AI‑guided ultrasound can extend expertise in low‑resource settings. Predictive analytics may flag fetal heart rate decelerations before they turn critical. And we confront the accuracy gaps in pulse oximetry tied to skin pigmentation and low perfusion, especially during the neonatal transition. With vendor accountability, rigorous validation across diverse populations, smarter sensor selection and placement, and frontline education, monitoring can serve every patient equally.If this conversation resonates, help us spread the word. Subscribe on Spotify or YouTube, share this episode with a colleague, and leave a review so more clinicians can join the effort to make labor and delivery the safest unit in the hospital. Your feedback and stories shape where we go next.For show notes & transcript, visit our episode page at apsf.org: https://www.apsf.org/podcast/278-transforming-maternal-care-through-equity-science-and-tech/© 2025, The Anesthesia Patient Safety Foundation

Support the show to get full episodes, full archive, and join the Discord community. Vicente Raja is a research fellow at University of Murcia in Spain, where he is also part of the Minimal Intelligence Lab run by Paco Cavo, where they study plant behavior, and he is external affiliate faculty of the Rotman Institute of Philosophy at Western University. He is a philosopher, and he is a cognitive scientist, and he specializes in applying concepts from ecological psychology to understand how brains, and organisms, including plants, get about in the world. We talk about many facets of his research, both philosophical and scientific, and maybe the best way to describe the conversation is a tour among many of the concepts in ecological psychology - like affordances, ecological information, direct perception, and resonance, and how those concepts do and don't, and should or shouldn't, contribute to our understanding of brains and minds. We also discuss Vicente's use of the term motif to describe scientific concepts that allow different researches to study roughly the same things even though they have different definitions for those things, and toward the end we touch on his work studying plant behavior. MINT Lab. Book: Ecological psychology Related papers In search for an alternative to the computer metaphor of the mind and brain Embodiment and cognitive neuroscience: the forgotten tales. The motifs of radical embodied neuroscience The Dynamics of Plant Nutation Ecological Resonance Is Reflected in Human Brain Activity Affordances are for life (and not just for maximizing reproductive fitness) Two species of realism Lots of previous guests and topics mentioned: BI 152 Michael L. Anderson: After Phrenology: Neural Reuse BI 190 Luis Favela: The Ecological Brain BI 191 Damian Kelty-Stephen: Fractal Turbulent Cascading Intelligence 0:00 - Intro 4:55 - Affordances and neuroscience 13:46 - Motifs 39:41- Reconciling neuroscience and ecological psychology 1:07:55 - Predictive processing 1:15:32 - Resonance 1:23:00 - Biggest holes in ecological psychology 1:29:50 - Plant cognition

I am super excited about today's episode of Sell With Authority — it's a really special one. We're kicking off a brand-new series we're creating here on the show. Over the next several weeks, you're going to hear from agency leaders who will share their insights and experiences around one of the most pressing issues in biz dev today: trust and distrust — and how both shape the agency sales process. If you've been part of our community for a while, you know that everything we do at Predictive centers on helping agencies sell more of what they do for a higher fee. And what we've seen, time and again, is that trust — or the lack of it — makes or breaks your sales pipeline. When trust is present, your pipeline flows. When it's absent, friction builds, momentum stalls — and opportunities slip away. This special series will dig deep into that dynamic. The conversations you'll hear will form the foundation for my next book, The Trust Architecture — along with a set of new Field Guides we'll be sharing with our community. If you stick with us through this series, you'll get an inside look at the strategic insights, lessons, and stories that will shape that work. Today's conversation is the perfect place to begin. Our guest expert is Michelle Calcote King, Founder of Reputation Ink — a national PR and marketing agency that helps professional services firms turn expertise into influence. Michelle and her team work every day in industries where trust and credibility aren't optional. That's what makes her perspective the perfect starting point for this series. She has built a business around translating complex expertise into stories that build trust, spark credibility, and drive growth — and she's sharing her playbook with us. What you will learn in this episode:  Why trust — or the lack of it — impacts every stage of the agency sales process Why industry specialization accelerates credibility How to remove friction and earn access to client subject matter experts The secret power of an authoritative newsletter in your niche The reality behind a successful biz dev system — you've got to eat your own dog food How to build relationships and trust through intentional, helpful marketing Resources: Website: www.rep-ink.com LinkedIn Personal: https://www.linkedin.com/in/michellecking/ LinkedIn Business: https://www.linkedin.com/company/reputation-ink/

Guest post by Paul Turley, Senior Director, ServiceNow Ireland Traditional customer relationship management (CRM) systems are becoming increasingly obsolete, leaving brands at risk of falling behind the competitive curve. Legacy platforms often create fragmented experiences and frustrated teams by operating in silos. Intelligent CRM is now crucial to unify sales, marketing, service, and operations to deliver seamless customer journeys. To truly transform CRM, organisations must adopt a true AI-first mindset - shifting from digital automation to intelligent, predictive, and proactive engagement. This mindset should be three pronged: rooted in continuous learning, empowered by automation and future-proofed through predictive insight. Business success in the era of AI-driven transformation depends on it. Your customer has changed, why hasn't your technology? We're at an inflection point, with the European CRM market expected to grow to $31.51bn by 2030. Businesses hope to modernise, meaning that CRM can no longer sit in the back office. Leaders need to rethink how they manage customer relationships as part of this, grasping AI as the catalyst for competitive advantage. Sales teams want best-in-class tools that let them self-serve and find qualified leads so that they can quote high-value deals quickly without red tape. At the same time, revenue operations and finance are under pressure to streamline fulfilment, handle contract changes smoothly, and eliminate manual handoffs. Too often though, data silos between marketing and sales systems, challenges with order fulfilment and complex contract changes have stood in the way of this. C-suite leaders across Europe and EMEA more broadly are starting to recognise that simply digitalisation processes won't deliver the customer experiences that set them apart from the competition. EMEA businesses, particularly in sectors like telecoms, finance, and manufacturing, are increasingly investing in agentic AI-enabled CRM to elevate customer experience and drive loyalty. Applying an AI mindset in practice Generative and agentic AI are becoming established as major value drivers in customer relationship management, with measurable impact on key KPIs such as cost reduction, faster resolution times, lower customer effort, and improved satisfaction. With agentic AI, ServiceNow is achieving 84% customer self-service and a threefold improvement in case deflection, saving support teams 400,000 labour hours. At the heart of this evolution is a shift in thinking, reimagining CRM as a living, learning system of action. This AI mindset is rooted in three core principles: 1. Continuous learning: Rather than remaining static, modern CRM systems are designed to evolve with every interaction. They gather and analyse data over time, enabling the system to become smarter, more responsive, and better attuned to customer needs. This is real-time data that can drive fast decisions and eliminate guesswork. 2. Automation: By removing repetitive and manual tasks, automation allows teams to focus on more meaningful, high-value work. This not only improves efficiency but also enables deeper, more purposeful engagement with customers. 3. Predictive insight: AI gives businesses the ability to anticipate customer needs before they arise, using data-led signals to tailor experiences and services at scale. At a macro level, this enables automatic work order creation, intelligent scheduling and dispatch, proactive service, and AI-driven process mining. At a micro level, this level of personalisation strengthens satisfaction, loyalty, and long-term value with the customer. Bringing this vision to life requires a CRM platform where AI, data, and workflows are deeply integrated. Agentic AI goes beyond basic automation. It can reason, decide, and act, either with human oversight or independently, delivering richer and more dynamic customer experiences. With structured workflows in place, agentic AI systems can handle everythi...

Artificial intelligence (AI) is no longer just a buzzword in healthcare — it's becoming a real partner in how providers care for patients and improve everyday experiences. With rising patient expectations, limited resources, and mounting administrative complexity, hospitals and insurers alike are turning to AI to improve efficiency, communication, and satisfaction. In fact, Citi research estimates that roughly a quarter of all American healthcare spending goes toward administrative tasks — and intelligent automation could reduce that burden by nearly 30%, underscoring the enormous potential for AI to make care delivery smarter and more sustainable.But as adoption accelerates, one key question looms: Can AI truly make healthcare more human — or does automation risk depersonalizing care?In this episode of I Don't Care with Dr. Kevin Stevenson, guest Brett Kiley, Vice President of Healthcare Solutions at Ciklum, explores how artificial intelligence can elevate — rather than replace — the patient experience. Together, they discuss practical, high-impact applications of AI that improve outcomes for both patients and providers, while emphasizing that technology alone can't fix broken processes or disengaged teams.Key points of discussion…Fix the process first. AI only accelerates what's already working — it can't fix a bad workflow. Kiley stresses that organizations must repair operational inefficiencies before layering in intelligent automation.Predictive, proactive patient care. By modeling data from multiple sources, Ciklum helps healthcare organizations identify at-risk patients before issues arise, reducing readmissions and improving satisfaction.AI for empathy and efficiency. From ambient AI that automates clinical documentation to analytics that highlight emotional drivers of patient frustration, AI can empower providers to focus on care — not clicks.Brett Kiley is the Vice President of Healthcare Solutions at Ciklum, where he helps healthcare organizations design and scale AI-driven customer experience and operational strategies that deliver measurable ROI. With over 20 years at CVS Health, he led digital transformation and patient experience initiatives that lifted Net Promoter Scores from 24 to 76, drove $100M+ in EBIT impact, and reduced call volumes by nearly half. Known for his hands-on healthcare expertise and data-driven approach, Kiley now advises hospitals, insurers, and startups on turning complex systems into efficient, patient-centered experiences powered by AI.

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George Kirby stayed in the game for awhile in Game 3 despite giving up a handful of runs, so Brock and Salk debate if he was left in the game too long or not. They also discuss if Game 3 is at all predictive of the future of this ALCS or not. In Blue 88, Brock dives in on the football IQ of JSN, a Seahawks PFF grade that jumped out and which former UW QB's situation is comparable to Demond Williams and UW playing Michigan at The Big House.

Animesh Koratana - CEO and Founder of PlayerZero discusses how agentic AI is transforming software quality assurance through predictive code simulation, and how teams can shift from reactive debugging to proactive problem prevention in the era of AI-generated code.SHOW: 967SHOW TRANSCRIPT: The Cloudcast #967 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS"SPONSORS:[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcastSHOW NOTES:PlayerZero websiteTopic 1 - Welcome to the show Animesh. Tell us about your background and your involvement in.Topic 2 - Let's start with the core problem you're solving. What is "predictive software quality" and why is this becoming critical now, especially in the era of AI-generated code?Topic 3 - How does agentic code simulation work, and what makes it different from traditional testing approaches?Topic 4 - This feels like it democratizes software quality beyond just engineering teams. How does PlayerZero work across different roles - developers, QA, product managers, and support teams?Topic 5 - Integration and workflow - how does PlayerZero fit into existing CI/CD pipelines and development workflows? What does the implementation look likeTopic 6 - Let's talk about scale and complexity. How does PlayerZero handle large, distributed systems with microservices, databases, and complex architecturesTopic 7 - If someone out there is interested and wants to get started, what is the best place to started?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

What if the next big leap in business AI isn't generative at all, but predictive? That's the question at the heart of my conversation with Zohar Bronfman, CEO and co-founder of Pecan AI, a company helping business teams forecast outcomes with precision and turn historical data into future insights. Zohar explains why he believes predictive AI will deliver far greater enterprise value than the generative models dominating headlines. He points to research showing that most generative AI projects fail to produce ROI, while predictive systems built on a company's own data can directly improve revenue, reduce churn, and guide smarter decisions. With Pecan's no-code platform, marketing and operations teams can now create predictive models without needing data scientists—bridging the gap between technical expertise and business execution. Through stories like Little Spoon's, a direct-to-consumer baby food brand that used Pecan AI to identify and retain at-risk customers, Zohar illustrates how predictive analytics turns data into real business impact. He also shares common mistakes companies make when implementing AI—starting with unclear objectives and misaligned resources—and why success depends on defining the problem before choosing the tool. Looking ahead, Zohar envisions predictive AI as the backbone of every organization, shifting business intelligence from reactive analysis to proactive action. As companies move beyond dashboards and toward dynamic decision-making, predictive insights may soon become as fundamental as spreadsheets. So, if your company could anticipate every challenge before it happened, how different would your strategy look? And are business leaders finally ready to treat predictive AI as core infrastructure rather than a passing trend? Share your thoughts after the episode.

Three years since the launch of ChatGPT, what does the landscape of Enterprise AI look like today? What's working, what's struggling and what's still unknown?SHOW: 966SHOW TRANSCRIPT: The Cloudcast #966 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcast[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.SHOW NOTES:HOW ARE ENTERPRISES USING AI IN LATE 2025?5% have a clear vision of how to apply Predictive and Generative AI to a set of use-cases that drive differentiation, productivity improvements and cost reductions. They are keeping the details close to the vest.10% have allocated about 3-5% of their IT budgets to AI, typically from a C-level mandate, and have given it to Microsoft or Google. They have checked “the business is AI-enabled” and signaled to the market that they have fully embraced AI. The market is rewarding these companies at higher multiples. 85% aren't sure what use-cases to focus on, have unrealistic expectations during POCs, and are focused on the “no” areas instead of their own learning curves. Enterprises don't have great visibility into AI costs, and limited baselines of what AI should cost - pay for outcomes, pay for seats, pay for tokens, or pay for GPUs?Enterprises don't have easy access to GPUs outside of via SaaS services - makes it challenging for Private or Sovereign AI demand to be metRight now, there is no simple way for Enterprises to build AI AgentsRight now, there is no simple way for Enterprises to share AI experience / learning curve - AI is a very individualized experienceFEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

What if God was one of us, just a machine like one of us.In Episode #496 of 'Musings', Juan & I discuss: if AI is becoming our new god, why some people are treating AI less like a tool and more like an authority, grift vs belief vs larping on social media, what would convince us that it is indeed God, the human propensity for subservience and control (Big Brother vibes), whether competing AI “faiths” might emerge (mirroring historical religious splits) and simulation theory/multimodal AI/brain–computer interfaces that might make an AI religion feel inevitable.Huge shout out to Petar & Cole for the support, absolute legends!Cole's AI Episode: https://www.youtube.com/live/s_yQtFUUscw Taylor Lorenz Video: https://youtu.be/zKCynxiV_8I Stan Link: https://stan.store/meremortalsTimeline:(00:00:00) Intro(00:03:53) Personal Use of AI(00:07:21) What qualifies as a god? Powers, myths, and behaviour(00:11:00) Motivations online: believers, grifters, and larpers(00:14:05) Everyday grifts and aiconsumer traps in AI land(00:19:09) What would make AI feel divine? Predictive power and control(00:24:24) Three omnis test: omnipresent, omniscient, omnipotent(00:30:02) The Big Brother model: power without benevolence(00:32:44) Boostagram Lounge(00:36:22) Black boxes and emergence: when no one understands how(00:41:18) Complexity isn't divinity: medicine and chess analogies(00:44:08) Model pluralism: different AIs, different answers, different sects(00:49:00) AI as the God via simulation theory(00:54:29) Local scene: Brisbane AI meetups and investing interest(00:56:23) Wrap-up: V4V Connect with Mere Mortals:Website: https://www.meremortalspodcasts.com/Discord: https://discord.gg/jjfq9eGReUTwitter/X: https://twitter.com/meremortalspodsInstagram: https://www.instagram.com/meremortalspodcasts/TikTok: https://www.tiktok.com/@meremortalspodcastsValue 4 Value Support:Boostagram: https://www.meremortalspodcasts.com/supportPaypal: https://www.paypal.com/paypalme/meremortalspodcast

I want you to think about this question for today's episode of Sell With Authority: what's the real cost of saying “yes”? Every time you add another service, take on an iffy-fit client, or chase a trend just because “every agency is doing it” — you're adding more weight onto your team. At first it doesn't feel heavy, but over time the load builds. And eventually, growth stalls — not because you're not working hard enough, but because you're carrying too much of the wrong stuff. That's why agencies get stuck in money-draining mistakes — like throwing darts at a board and calling it strategy, selling everything to everyone, or constantly chasing clients instead of magnetically attracting the right ones. Here's the thing — even some of the most successful agencies in the country have been there. Our guest expert today, Dr. Mark Young, Founder and CEO of Jekyll+Hyde Labs, built one of the nation's top challenger brand agencies. But eventually, he realized they were diluted — saying yes out of fear instead of strategy. So, Mark did something bold. He set what author Dr. Benjamin Hardy calls an “Impossible Goal” — $100 million in revenue in just three years. Not 15. Not 10. Three. And then he used that Impossible Goal like a scalpel. If it didn't align, he cut it. The results? Within weeks Jekyll+Hyde shed bad-fit clients, won bigger ones, and began scaling with conviction — not fear. Today, Mark is here to share how you can apply the same lessons inside your own agency. Hannah Roth, our Director of Strategy and Mad Scientist, is here too. Hannah's in the trenches every day with our Predictive clients, and she leads all of our experiments inside the Predictive Lab. It makes perfect sense to bring her into this candid conversation. This episode is packed full of takeaways you and your team can put into practice right away. What you will learn in this episode:  Why saying “yes” can quietly stall your growth How to to identify the invisible costs of overcommitting to clients, services, or trends How to use an “Impossible Goal” as a strategic lens to simplify decisions, eliminate distractions, and focus your entire team on what truly moves the needle Ways to recognize when your agency is diluted — and the proven steps Dr. Mark Young took to reclaim focus, authority, and profitability Why most agencies optimize what shouldn't exist — and how to confidently cut services or clients that don't align with your strategy Resources: Website: https://jandhlabs.com/ LinkedIn Personal: https://www.linkedin.com/in/markyoungwci/ LinkedIn Business: https://www.linkedin.com/company/jekyll-and-hyde-labs/ HYPNO-TISING: The Secrets and Science of Ads That Sell More…: https://www.amazon.com/HYPNO-TISING-Secrets-Science-That-Sell/dp/1544526091

Get the full 15 year ad-free archive, including all 2 hour extended interviews with THC+: Subscribe via our website and get the Plus show on your usual podcast apps with a custom RSS feed or at TheHighersideChats.com Subscribe via Patreon if Spotify playback & payment through Paypal are important to you. About Today's Guest: Professor Jiang […] The post Professor Jiang Xueqin | Predictive History, Western Collapse, & The Ivy League Issue appeared first on The Higherside Chats.

In this PT-2 follow up episode to a September 29, 2025, we will objectively explore the details of the Snake Eyes movie and its relationship to the assassination of Charlie Kirk. Despite there being seemingly incredible parallels, many of the important correlations have been ignored in favor of assumed connections like the 9/10 date of the assassination, which was actually 9/19 in the movie, or the 911 in an Erika Kirk music video that was cropped to ignore other numbers. The film features a Charles Kirkland being shot in the neck, taken to the hospital, and later dying during a public event. A strange character is pumping his fist and chanting in front of the camera, a character named Tyler is involved in the conspiracy, and the iconic motifs of the ‘woman in red' and ‘woman in white' are present. There is also the all-seeing eye and lucky number 7. But beyond the real life parallels and other occult imagery, the movie involves a hurricane named Jezebel, which strangely connects to the real Charlie Kirk. Why? Because the leftwing, feminist, anti-child cult website Jezebel published an article two days before Kirk's death about Etsy witches being hired to cast spells against the conservative commentator as an ‘ethical' stance against his opinions.*The is the FREE archive, which includes advertisements. If you want an ad-free experience, you can subscribe below underneath the show description.FREE ARCHIVE (w. ads)SUBSCRIPTION ARCHIVEX / TWITTER FACEBOOKWEBSITEBuyMe-CoffeePaypal: rdgable1991@gmail.comCashApp: $rdgable EMAIL: rdgable@yahoo.com / TSTRadio@protonmail.comBecome a supporter of this podcast: https://www.spreaker.com/podcast/the-secret-teachings--5328407/support.

Ella Loneragan and Claire Tyrrell discuss how Subiaco has got its mojo back. Plus: HIA calls on feds to step up; Public to comment on $107m ferry plan; Predictive, Robex in $2.4b merger.

Luigi Lenguito is the founder and CEO of BforeAI, which recently announced $15 million in Series A funding led by SYN Ventures. In this episode, he joins host Paul John Spaulding to discuss the announcement, including what the funding will be used for, and more. • For more on cybersecurity, visit us at https://cybersecurityventures.com

Predictive AI and wearable tech are changing healthcare from reactive to proactive. This clip explores how real-time data and AI models can detect illness before symptoms emerge. Jordan Johnson of Bridge Oncology and Dr. Sanjay Juneja discuss the future of medicine—from CMS reimbursements to remote monitoring and predictive diagnostics.

Stephen's linkshttps://bgbodymindspirit.com/https://www.spreaker.com/podcast/bgcast--5832809https://rumble.com/user/BGcast?e9s=src_v1_sa%2Csrc_v1_sa_mDoors of Perception is available now on Amazon Prime!https://watch.amazon.com/detail?gti=amzn1.dv.gti.8a60e6c7-678d-4502-b335-adfbb30697b8&ref_=atv_lp_share_mv&r=webDoors of Perception official trailerhttps://youtu.be/F-VJ01kMSII?si=Ee6xwtUONA18HNLZIndependent Media Token https://www.independentmediatoken.com/Merchhttps://fknstore.net/Start your microdosing journey with BrainsupremeGet 15% off your order here!!https://brainsupreme.co/FKN15Book a free consultation with Jennifer Halcame Emailjenniferhalcame@gmail.comFacebook pagehttps://www.facebook.com/profile.php?id=61561665957079&mibextid=ZbWKwLWatch The Forbidden Documentary: Occult Louisiana on Tubi: https://link.tubi.tv/pGXW6chxCJbC60 PurplePowerhttps://go.shopc60.com/FORBIDDEN10/or use coupon code knowledge10FKN Link Treehttps://linktr.ee/FKNlinksForbidden Knowledge Network https://forbiddenknowledge.news/ Make a Donation to Forbidden Knowledge News https://www.paypal.me/forbiddenknowledgenehttps://buymeacoffee.com/forbiddenJohnny Larson's artworkhttps://www.patreon.com/JohnnyLarsonSign up on Rokfin!https://rokfin.com/fknplusPodcastshttps://www.spreaker.com/show/forbiddenAvailable on all platforms Support FKN on Spreaker https://spreaker.page.link/KoPgfbEq8kcsR5oj9FKN ON Rumblehttps://rumble.com/c/FKNpGet Cory Hughes books!Lee Harvey Oswald In Black and White https://www.amazon.com/dp/B0FJ2PQJRMA Warning From History Audio bookhttps://buymeacoffee.com/jfkbook/e/392579https://www.buymeacoffee.com/jfkbookhttps://www.amazon.com/Warning-History-Cory-Hughes/dp/B0CL14VQY6/ref=mp_s_a_1_1?crid=72HEFZQA7TAP&keywords=a+warning+from+history+cory+hughes&qid=1698861279&sprefix=a+warning+fro%2Caps%2C121&sr=8-1https://coryhughes.org/YouTube https://youtube.com/@fknclipspBecome Self-Sufficient With A Food Forest!!https://foodforestabundance.com/get-started/?ref=CHRISTOPHERMATHUse coupon code: FORBIDDEN for discountsOur Facebook pageshttps://www.facebook.com/forbiddenknowledgenewsconspiracy/https://www.facebook.com/FKNNetwork/Instagram @forbiddenknowledgenews1@forbiddenknowledgenetworkXhttps://x.com/ForbiddenKnow10?t=uO5AqEtDuHdF9fXYtCUtfw&s=09Email meforbiddenknowledgenews@gmail.comsome music thanks to:https://www.bensound.com/Become a supporter of this podcast: https://www.spreaker.com/podcast/forbidden-knowledge-news--3589233/support.

AI is reshaping industries at a rapid pace, but as its influence grows, so do the ethical concerns that come with it.   This episode examines how AI is being applied across sectors such as healthcare, finance, and retail, while also exploring the crucial issue of ensuring that these technologies align with human values.   In this conversation, Lois Houston and Nikita Abraham are joined by Hemant Gahankari, Senior Principal OCI Instructor, who emphasizes the importance of fairness, inclusivity, transparency, and accountability in AI systems.   AI for You: https://mylearn.oracle.com/ou/course/ai-for-you/152601/   Oracle University Learning Community: https://education.oracle.com/ou-community   LinkedIn: https://www.linkedin.com/showcase/oracle-university/   X: https://x.com/Oracle_Edu   Special thanks to Arijit Ghosh, David Wright, Kris-Ann Nansen, Radhika Banka, and the OU Studio Team for helping us create this episode.   ---------------------------------------------------- Episode Transcript:   00:00 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we'll bring you foundational training on the most popular Oracle technologies. Let's get started! 00:25 Lois: Welcome to the Oracle University Podcast! I'm Lois Houston, Director of Innovation Programs with Oracle University, and with me is Nikita Abraham, Team Lead: Editorial Services. Nikita: Hey everyone! In our last episode, we spoke about how Oracle integrates AI capabilities into its Fusion Applications to enhance business workflows, and we focused on Predictive, Generative, and Agentic AI. Lois: Today, we'll discuss the various applications of AI. This is the final episode in our AI series, and before we close, we'll also touch upon ethical and responsible AI.  01:01 Nikita: Taking us through all of this is Senior Principal OCI Instructor Hemant Gahankari. Hi Hemant! AI is pretty much everywhere today. So, can you explain how it is being used in industries like retail, hospitality, health care, and so on?  Hemant: AI isn't just for sci-fi movies anymore. It's helping doctors spot diseases earlier and even discover new drugs faster. Imagine an AI that can look at an X-ray and say, hey, there is something sketchy here before a human even notices. Wild, right? Banks and fintech companies are all over AI. Fraud detection. AI has got it covered. Those robo advisors managing your investments? That's AI too. Ever noticed how e-commerce companies always seem to know what you want? That's AI studying your habits and nudging you towards that next purchase or binge watch. Factories are getting smarter. AI predicts when machines will fail so they can fix them before everything grinds to a halt. Less downtime, more efficiency. Everyone wins. Farming has gone high tech. Drones and AI analyze crops, optimize water use, and even help with harvesting. Self-driving cars get all the hype, but even your everyday GPS uses AI to dodge traffic jams. And if AI can save me from sitting in bumper-to-bumper traffic, I'm all for it. 02:40 Nikita: Agreed! Thanks for that overview, but let's get into specific scenarios within each industry.  Hemant: Let us take a scenario in the retail industry-- a retail clothing line with dozens of brick-and-mortar stores. Maintaining proper inventory levels in stores and regional warehouses is critical for retailers. In this low-margin business, being out of a popular product is especially challenging during sales and promotions. Managers want to delight shoppers and increase sales but without overbuying. That's where AI steps in. The retailer has multiple information sources, ranging from point-of-sale terminals to warehouse inventory systems. This data can be used to train a forecasting model that can make predictions, such as demand increase due to a holiday or planned marketing promotion, and determine the time required to acquire and distribute the extra inventory. Most ERP-based forecasting systems can produce sophisticated reports. A generative AI report writer goes further, creating custom plain-language summaries of these reports tailored for each store, instructing managers about how to maximize sales of well-stocked items while mitigating possible shortages. 04:11 Lois: Ok. How is AI being used in the hospitality sector, Hemant? Hemant: Let us take an example of a hotel chain that depends on positive ratings on social media and review websites. One common challenge they face is keeping track of online reviews, leading to missed opportunities to engage unhappy customers complaining on social media. Hotel managers don't know what's being said fast enough to address problems in real-time. Here, AI can be used to create a large data set from the tens of thousands of previously published online reviews. A textual language AI system can perform a sentiment analysis across the data to determine a baseline that can be periodically re-evaluated to spot trends. Data scientists could also build a model that correlates these textual messages and their sentiments against specific hotel locations and other factors, such as weather. Generative AI can extract valuable suggestions and insights from both positive and negative comments. 05:27 Nikita: That's great. And what about Financial Services? I know banks use AI quite often to detect fraud. Hemant: Unfortunately, fraud can creep into any part of a bank's retail operations. Fraud can happen with online transactions, from a phone or browser, and offsite ATMs too. Without trust, banks won't have customers or shareholders. Excessive fraud and delays in detecting it can violate financial industry regulations. Fraud detection combines AI technologies, such as computer vision to interpret scanned documents, document verification to authenticate IDs like driver's licenses, and machine learning to analyze patterns. These tools work together to assess the risk of fraud in each transaction within seconds. When the system detects a high risk, it triggers automated responses, such as placing holds on withdrawals or requesting additional identification from customers, to prevent fraudulent activity and protect both the business and its client. 06:42 Nikita: Wow, interesting. And how is AI being used in the health industry, especially when it comes to improving patient care? Hemant: Medical appointments can be frustrating for everyone involved—patients, receptionists, nurses, and physicians. There are many time-consuming steps, including scheduling, checking in, interactions with the doctors, checking out, and follow-ups. AI can fix this problem through electronic health records to analyze lab results, paper forms, scans, and structured data, summarizing insights for doctors with the latest research and patient history. This helps practice reduced costs, boost earnings, and deliver faster, more personalized care. 07:32 Lois: Let's take a look at one more industry. How is manufacturing using AI? Hemant: A factory that makes metal parts and other products use both visual inspections and electronic means to monitor product quality. A part that fails to meet the requirements may be reworked or repurposed, or it may need to be scrapped. The factory seeks to maximize profits and throughput by shipping as much good material as possible, while minimizing waste by detecting and handling defects early. The way AI can help here is with the quality assurance process, which creates X-ray images. This data can be interpreted by computer vision, which can learn to identify cracks and other weak spots, after being trained on a large data set. In addition, problematic or ambiguous data can be highlighted for human inspectors. 08:36 Oracle University's Race to Certification 2025 is your ticket to free training and certification in today's hottest tech. Whether you're starting with Artificial Intelligence, Oracle Cloud Infrastructure, Multicloud, or Oracle Data Platform, this challenge covers it all! Learn more about your chance to win prizes and see your name on the Leaderboard by visiting education.oracle.com/race-to-certification-2025. That's education.oracle.com/race-to-certification-2025. 09:20 Nikita: Welcome back! AI can be used effectively to automate a variety of tasks to improve productivity, efficiency, cost savings. But I'm sure AI has its constraints too, right? Can you talk about what happens if AI isn't able to echo human ethics?  Hemant: AI can fail due to lack of ethics.  AI can spot patterns, not make moral calls. It doesn't feel guilt, understand context, or take responsibility. That is still up to us.  Decisions are only as good as the data behind them. For example, health care AI underdiagnosing women because research data was mostly male. Artificial narrow intelligence tends to automate discrimination at scale. Recruiting AI downgraded resumes just because it had a word "women's" (for example, women's chess club). Who is responsible when AI fails? For example, if a self-driving car hits someone, we cannot blame the car. Then who owns the failure? The programmer? The CEO? Can we really trust corporations or governments having programmed the use of AI not to be evil correctly? So, it's clear that AI needs oversight to function smoothly. 10:48 Lois: So, Hemant, how can we design AI in ways that respect and reflect human values? Hemant: Think of ethics like a tree. It needs all parts working together. Roots represent intent. That is our values and principles. The trunk stands for safeguards, our systems, and structures. And the branches are the outcomes we aim for. If the roots are shallow, the tree falls. If the trunk is weak, damage seeps through. The health of roots and trunk shapes the strength of our ethical outcomes. Fairness means nothing without ethical intent behind it. For example, a bank promotes its loan algorithm as fair. But it uses zip codes in decision-making, effectively penalizing people based on race. That's not fairness. That's harm disguised as data. Inclusivity depends on the intent sustainability. Inclusive design isn't just a check box. It needs a long-term commitment. For example, controllers for gamers with disabilities are only possible because of sustained R&D and intentional design choices. Without investment in inclusion, accessibility is left behind. Transparency depends on the safeguard robustness. Transparency is only useful if the system is secure and resilient. For example, a medical AI may be explainable, but if it is vulnerable to hacking, transparency won't matter. Accountability depends on the safeguard privacy and traceability. You can't hold people accountable if there is no trail to follow. For example, after a fatal self-driving car crash, deleted system logs meant no one could be held responsible. Without auditability, accountability collapses. So remember, outcomes are what we see, but they rely on intent to guide priorities and safeguards to support execution. That's why humans must have a final say. AI has no grasp of ethics, but we do. 13:16 Nikita: So, what you're saying is ethical intent and robust AI safeguards need to go hand in hand if we are to truly leverage AI we can trust. Hemant: When it comes to AI, preventing harm is a must. Take self-driving cars, for example. Keeping pedestrians safe is absolutely critical, which means the technology has to be rock solid and reliable. At the same time, fairness and inclusivity can't be overlooked. If an AI system used for hiring learns from biased past data, say, mostly male candidates being hired, it can end up repeating those biases, shutting out qualified candidates unfairly. Transparency and accountability go hand in hand. Imagine a loan rejection if the AI's decision isn't clear or explainable. It becomes impossible for someone to challenge or understand why they were turned down. And of course, robustness supports fairness too. Loan approval systems need strong security to prevent attacks that could manipulate decisions and undermine trust.  We must build AI that reflects human values and has safeguards. This makes sure that AI is fair, inclusive, transparent, and accountable.  14:44 Lois: Before we wrap, can you talk about why AI can fail? Let's continue with your analogy of the tree. Can you explain how AI failures occur and how we can address them? Hemant: Root elements like do not harm and sustainability are fundamental to ethical AI development. When these roots fail, the consequences can be serious. For example, a clear failure of do not harm is AI-powered surveillance tools misused by authoritarian regimes. This happens because there were no ethical constraints guiding how the technology was deployed. The solution is clear-- implement strong ethical use policies and conduct human rights impact assessment to prevent such misuse. On the sustainability front, training AI models can consume massive amount of energy. This failure occurs because environmental costs are not considered. To fix this, organizations are adopting carbon-aware computing practices to minimize AI's environmental footprint. By addressing these root failures, we can ensure AI is developed and used responsibly with respect for human rights and the planet. An example of a robustness failure can be a chatbot hallucinating nonexistent legal precedence used in court filings. This could be due to training on unverified internet data and no fact-checking layer. This can be fixed by grounding in authoritative databases. An example of a privacy failure can be AI facial recognition database created without user consent. The reason being no consent was taken for data collection. This can be fixed by adopting privacy-preserving techniques. An example of a fairness failure can be generated images of CEOs as white men and nurses as women, minorities. The reason being training on imbalanced internet images reflecting societal stereotypes. And the fix is to use diverse set of images. 17:18 Lois: I think this would be incomplete if we don't talk about inclusivity, transparency, and accountability failures. How can they be addressed, Hemant? Hemant: An example of an inclusivity failure can be a voice assistant not understanding accents. The reason being training data lacked diversity. And the fix is to use inclusive data. An example of a transparency and accountability failure can be teachers could not challenge AI-generated performance scores due to opaque calculations. The reason being no explainability tools are used. The fix being high-impact AI needs human review pathways and explainability built in. 18:04 Lois: Thank you, Hemant, for a fantastic conversation. We got some great insights into responsible and ethical AI. Nikita: Thank you, Hemant! If you're interested in learning more about the topics we discussed today, head over to mylearn.oracle.com and search for the AI for You course. Until next time, this is Nikita Abraham…. Lois: And Lois Houston, signing off! 18:26 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.  

Title: ⏰ Synergy Traders #59: How Predictive Precise Simplicity of Alpha Fibonacci Will Improve Your Trading with Alla Peters-Plocher of FibonacciTradingInstitute.com   Recorded as part of the Synergy Traders #59: "20 Fibonacci & Elliott Wave Trading Strategies" hosted by FXTradersEdge, TradeOutLoud, and TimingResearch.   You can find the full video of this presentation here: https://link.timingresearch.com/ArchiveST59   Bonus info... [AD]

Artificial Intelligence is no longer a futuristic idea—it's here, and it's transforming marketing. In this episode of The Backstory on Marketing and AI, we explore how AI and Marketing intersect to reshape strategy, personalization, and growth.We dive into AI enabled Market Research, showing how businesses can use data-driven insights to predict customer behavior, optimize campaigns, and innovate faster.This discussion breaks down how AI helps marketers personalize experiences, improve ROI, and anticipate market shifts. We cover practical applications such as:Predictive analytics for customer behaviorReal-time market insightsSmarter decision-making with AI toolsCreating stronger customer engagement through personalizationFor companies aiming to stay competitive, adopting AI isn't optional—it's essential. The businesses that leverage AI now will thrive in an increasingly digital future.#AIandMarketing #AIenabledMarketResearch #MarketingTrends #DigitalMarketing #FutureOfAI

In this episode, host Paige West speaks with Matthias Huber, Sr. Director, Solutions Manager, IoT/Embedded & Edge Computing, Supermicro, all about accelerating Edge AI infrastructure for predictive and Generative AI.

The FF Dynasty, Season 9, Episode 90: Casey + @KoalatyStats break down the best dynasty trade targets for Week 4 based on the signature PWOPR Metric (predicted weighted opportunity)— We feature buy-low running backs, sell-high wideouts, and players to stash for long-term upside. We cover dynasty trade strategy around Trey Benson, Cam Skattebo, Quinshon Judkins, Travis Etienne, Ricky Pearsall, George Pickens, and more -- Analytical Models + Predictions powered by @KoalityStats https://koalatystats.substack.com -- • SIGN UP TODAY FOR up to $200 in Prophet Cash BACK -USE CODE: FFD WHEN SIGNING UP AT https://prophetx.onelink.me/E5Yi/FFD or DOWNLOAD THE PROPHETX APP #ProphetX -- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Fantasy Football Survivor⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ (NEW GAME!) Free ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ + ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Discord⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ 5 Star Contest ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠! ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Insta⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TikTok⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ --

This episodes been in the ice box since 2024 (tracked the week before SKY WARS was cancelled) it never saw the airwaves.  There's conversation references that date it.  "Pardon our mess".   We're at the pinnacle of the amateur and professional domestic pyro show competition season here in the United States with Sky Wars this week and Jamie, AJ, and Bo break down the designer competitive landscape across the PRO-AM and PRO divisions and make their winner predictions for this years event.   Support the Sh*t Show!! Contribute -> Patreon  Hang with us -> Discord Buy some Merch, balls, DB25 Cables or leave us a Voicemail (we'll play it on-air)!

Wil talks with Anthony Hamilton of Icon Group Hospitality about building people-first restaurant businesses that last. They riff on digital minimalism (Wil's flip phone!), presence with family, and the hard edges of hospitality—burnout, 24/7 crises, substance abuse—then pivot to how thoughtful leadership, balance, and systems can make the work sustainable. Anthony traces his path from CIA-trained chef to operator/educator to acquiring legacy independent brands and venues, explaining creative deal structures, venue-first catering strategy, and a culture that prizes productivity over performative “grind.” The throughline: lead with hospitality, invest in people, use simple tech well, and protect the soul of beloved neighborhood institutions.Key takeaways Presence beats obsession: Ditching always-on smartphones can reduce noise and make you a better leader, parent, and human. Hospitality is holistic: Mental health, family time, and modeling balance are part of the job, not perks. People > spreadsheets: “Internal customers” (your team) drive guest experience; treat them with autonomy, flexibility, and respect. Productivity > hours: Question 50+ hour weeks; manage to outcomes, not optics. Predictive labor wins: Forecast sales, schedule to targets, and adjust—don't try to “cut” your way out after the fact. Simple tech scales: Use lightweight tools (like scheduling/communications) your staff actually adopts; avoid bells-and-whistles bloat. Legacy brand stewardship: When buying independents, preserve what locals love while modernizing ops; owners are often the brand—honor that story. Creative deals keep doors open: Mix owner financing, profit-sharing, and note-holding to match seller needs and protect cash. Venue-first catering strategy: Securing exclusive/long-term venue leases reliably feeds the catering pipeline. Unreasonable touches pay back: Small, thoughtful gestures (a $60 video game + handwritten note) can lock in lifelong clients. Turnover is expensive: Retention beats replacement—paying an extra $0.50–$1/hour can save thousands in churn costs. Lead by example: Owners will always care most; don't expect staff to out-hustle you—set the standard and the tone.

The FF Dynasty, Season 9, Episode 87: Casey is joined by our Head of Analytics Joseph @KoalatyStats to break down who's Predicted Weighted Opportunity Score is indicative of greater future success. We highlight all of but not limited to (repeats) DK Metcalf/Emeka Egbuka (new additions to the PWOPR list) Kyle Pitts/Ladd McConkey (more buy lows) Brian Thomas Jr./Justin Jefferson/Drake London (are they for real?) Rome Odunze/Troy Franklin/Quentin Johnston -- Analytical Models + Predictions powered by @KoalityStats https://koalatystats.substack.com -- • SIGN UP TODAY FOR up to $200 in Prophet Cash BACK -USE CODE: FFD WHEN SIGNING UP AT https://prophetx.onelink.me/E5Yi/FFD or DOWNLOAD THE PROPHETX APP #ProphetX -- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Fantasy Football Survivor⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ (NEW GAME!) Free ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ + ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Discord⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ 5 Star Contest ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠! ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Insta⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TikTok⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ --

On this episode of the Cybersecurity Defenders Podcast we speak with Robert Boles, Founder / CEO of BLOKWORX.A veteran of the U.S. Marine Corps, Rob founded BLOKWORX in 2006 to further his passion for creating fast, secure networks. Since 1999 Rob was a core technical contributor and presenter on an Advanced IP Team, delivering bleeding edge WAN and Managed Security services to Small, Mid-level and Fortune 500 businesses around the world. The experience led him back to the same conclusion, regardless of size and resources, every company struggled with the same uncertainty – multiple vendors with infinite solutions, and no real clarity how to make it all “work.” Rob focused BLOKWORX on security, reliability, and positive user experience. He has built a team that leverages their expertise with extensive research and testing, alignment with vendors, partners, and clients, and the experience of 1000's of nodes managed and monitored, all supported by a mature delivery model built on years of operational experience. Rob is an avid outdoorsman and his favorite place to be is in a raft or a kayak with his son Jack.Learn more at blokworx.com.Support our show by sharing your favorite episodes with a friend, subscribe, give us a rating or leave a comment on your podcast platform.This podcast is brought to you by LimaCharlie, maker of the SecOps Cloud Platform, infrastructure for SecOps where everything is built API first. Scale with confidence as your business grows. Start today for free at limacharlie.io.

Hey y'all, today I'm sitting down with Timothy Frie and honestly, I could talk about his brain all day. He's a neuro-nutritionist, researcher and writer who takes the big stuff - grief, trauma, burnout, stress - and shows us how it all connects to the way we eat. We get into why our bodies do what they do around food, how the brain makes patterns we don't even realise, and what it actually takes to create real, lasting change. This conversation is one of those that sticks with you.Highlights:(08:31) Predictive maps: why our brains link food to stress(16:13) The power of safety in healing our body(24:23) Nutrition isn't diet rules, it's cell-level survival(32:12) Supplements as support when life feels too much(40:58) Food freedom starts with trusting your own bodyFind out more:Website's HERE and HEREInstagramThreadsBrain Fried NewsletterQualia Mind - click hereCoupon Code: SHOCKANDYALL (15% off any purchase)Visit Nicole's on demand fitness platform for live weekly classes and a recorded library of yoga, strength training, guided audio meditations and mobility (Kinstretch) classes, as well: https://www.sweatandstillness.comGrab Nicole's bestselling children's book and enter your email for A FREE GIFT: https://www.yolkedbook.comFind Nicole on Instagram:https://www.instagram.com/nicolesciacca/Tik Tok: https://www.tiktok.com/@thenicolesciaccaFacebook: https://www.facebook.com/nicolesciaccayoga/Youtube:https://www.youtube.com/channel/UC1X8PPWCQa2werd4unex1eAPractice yoga with Nicole in person in Santa Monica, CA at Aviator Nation Ride. Get the App to book in: https://apps.apple.com/us/app/aviator-nation-ride/id1610561929Book a discovery call or virtual assessment with Nicole here: https://www.calendly.com/nicolesciaccaThis Podcast is proudly produced by Wavemakers Audio

Dr. Judy Morgan discusses with Dr. Terry Fossum the potential of using dogs as a better predictive model for drug approval compared to mice. Dr. Fossum highlights the inefficiencies and high costs of current drug development, noting that in 2022, the U.S. spent $100.8 billion on prescription drugs, and globally, $1.3 trillion. She emphasizes the need for more efficient and cost-effective methods, citing that 50% of healthcare dollars go to 5% of the population, largely due to chronic diseases. Listen in as Dr. Fossum shares her research showing promise with using dogs that have naturally occurring disease as a more predictive model for human disease. Fascinating! OFFER: - Free surveys for common ailments. Drfossums.com/surveys One time use Coupon Code: drjudy30% The surveys are designed to be taken over time to see your dog's progression. So, you can take a survey today, then take it in 60 days to see how your dog is progressing. This is super helpful for slow progressing disease where it is hard to identify changes that take time to develop. Website: https://drfossums.com/ instagram.com/drfossumspetcare/ facebook.com/drfossumspetcare https://www.facebook.com/drfossums linkedin.com/company/84275603 https://www.facebook.com/thecuttingedgevet/ https://www.instagram.com/thecuttingedgevet/ https://www.youtube.com/@TheCuttingEdgeVet/ Additional Links: Senior Dog's Book for pet owners Dr. Fossum's Pet Care Logo Terry Teaching Surgery https://drive.google.com/file/d/1IJDQdDS1PnKXkBRJvq5A4D7xTAAPj8hf/view?usp=sharing B-roll: https://drive.google.com/file/d/1E3qIyJhrGXojo-c-LeoMhur3F5b4qlY_/view?usp=sharing https://drive.google.com/file/d/1rZujljB_4CGl4gtGFSnG1c5DeiyDC1M-/view?usp=sharing Calculators/Surveys track results over time https://thecuttingedgevet.com/cbd-oil-dosage-calculator/ https://thecuttingedgevet.com/canine-cognitive-dysfunction-survey/ https://thecuttingedgevet.com/canine-cardiac-disease-assessment/ https://thecuttingedgevet.com/chronic-kidney-disease-risk-assessment/ https://thecuttingedgevet.com/cbd-mobility-survey/ https://thecuttingedgevet.com/cbd-calm-survey/ https://thecuttingedgevet.com/dog-dental-health-assessment/ https://thecuttingedgevet.com/osteoarthritis-risk-assessment/ https://thecuttingedgevet.com/senior-dog-general-wellness-assessment/ PRODUCT SPOTLIGHT #1 Are you interested in even more helpful content from Dr Judy? Check out Dr Judy's private Patreon community to receive exclusive perks such as live Q & A opportunities with Dr Judy herself, exclusive recipes, merchandise discounts, guest interviews, educational presentations, Black Friday and Cyber Monday early access and more. Be in the know and help Dr Judy as she continues her mission to empower and educate pet parents like you so you can advocate for a happier, healthier life for your pet. Go to patreon.com/DrJudyMorgan to sign up now. PRODUCT SPOTLIGHT #2Could your pet benefit from PEA? Pulmitoyl ethanolamide, also known as PEA is a naturally occurring fatty acid compound found in plants and animals. PEA may help support healthy, inflammatory and immune balance, comfort and well being. We found it helpful for cats, dogs and equines. Podcast listeners can take advantage of 15% off of any size of Dr Judy's PEA with the code PODCAST64 Get your Dr Judy's PEA today at NaturallyHealthyPets.com and 15% off using the code PODCAST64

Welcome to a fascinating exploration of the hidden legal battles shaping tomorrow's technology. Predictive algorithms have become the crystal balls of modern business, forecasting everything from home prices to healthcare costs, but they're also becoming the center of high-stakes courtroom dramas worth hundreds of millions of dollars.Across the globe, from Texas courtrooms to China's Supreme People's Court, judges and juries are answering a profound question: who owns the right to predict the future? The House Canary v. Amrock case resulted in a staggering $600 million verdict over real estate valuation algorithms, while Alibaba secured a 30 million RMB judgment against a company that allegedly scraped its predictive marketing tools. Even industrial applications aren't immune, with companies like Shen Group successfully protecting predictive design software for machinery components.What makes these cases particularly compelling is how they're redefining intellectual property law. Courts are now recognizing that AI model weights, the mathematical parameters tuned during training, qualify as protectable trade secrets. Data pipelines, prediction engines, and algorithmic structures have all received similar protection. The real drama often unfolds when employees change companies, raising thorny questions about what constitutes general expertise versus proprietary knowledge that belongs to the former employer.Healthcare prediction presents especially valuable territory, with ongoing battles between companies like Qruis and Epic Systems, or Milliman and Gradient AI, demonstrating how patient data forecasting creates immensely valuable intellectual property. Whether it's forecasting home values on Zillow or optimizing Medicare billing, these predictive tools aren't just convenient features, they're corporate crown jewels worth protecting at almost any cost.Ready to dive deeper into the invisible rules governing innovation? Subscribe now and join us as we continue to decode the legal frameworks shaping our technological future. The algorithms may predict tomorrow, but who gets to own those predictions? That's what we're exploring on Intangiblia.Get the book!Send us a textSupport the show

This is a story with a lad in it called Aladdin.   Support the show and get extra episodes www.patreon.com/worldaroundewe 

At the Society of Hematologic Oncology 2025 Annual Meeting, CancerNetwork® spoke with a variety of experts about notable clinical developments and trial results across the hematologic oncology landscape. Throughout the meeting, clinicians and researchers discussed the latest data and initiatives in myelofibrosis, multiple myeloma, lymphoma, and other types of blood cancer. Francesca Palandri, MD, PhD, an adjunct professor in the Department of Medical and Surgical Sciences at the University of Bologna in Bologna, Italy, shared insights from a session focused on exploring predictive markers for the efficacy of ruxolitinib (Jakafi) among patients with myelofibrosis.1 Noting variance in response rates as well as possibilities of disease progression or treatment discontinuation associated with ruxolitinib, Palandri emphasized the importance of assessing predictors of response to better orient clinical decision-making strategies regarding the agent's use. She also highlighted how factors such as cytopenic phenotype, higher peripheral blast counts, and higher burden of disease may impact response rates and survival among patients. Additionally, Sundar Jagannath, MD, a professor of Medicine specializing in hematology and medical oncology at the Icahn School of Medicine at Mount Sinai and The Tisch Cancer Institute, spoke about his presentation on potentially defining a cure in the management of multiple myeloma.2 He described the importance of “chang[ing] the dialogue” in multiple myeloma to give hope to patients and encourage physicians to engage in patient care more optimally. By defining a cure in multiple myeloma, Jagannath stated, it may be possible to offer more finite durations of treatment and stop therapy with the confidence that patients will not relapse. Finally, Adam J. Olszewski, MD, an associate professor of medicine at The Warren Alpert Medical School of Brown University, discussed his work on the phase 3 SUNMO trial (NCT05171647).3 Findings from this presentation showed that mosunetuzumab-axgb (Lunsumio) plus polatuzumab vedotin-piiq (Polivy; M-Pola) reduced the risk of progression or death by 59% vs rituximab (Rituxan) with gemcitabine and oxaliplatin (R-GemOx) in relapsed/refractory large B-cell lymphoma (LBCL). Olszewski also outlined next steps for refining treatment strategies in this patient population. References Palandri F. Predictive markers for ruxolitinib in MF. Presented at the Society of Hematologic Oncology 2025 Annual Meeting; September 3-6, 2025; Houston, TX. Jagannath S. Is it time to say “CURE” in multiple myeloma? Presented at the Society of Hematologic Oncology 2025 Annual Meeting; September 3-6, 2025; Houston, TX. Westin J, Zhang H, Kim W, et al. Mosunetuzumab plus polatuzumab vedotin is superior R-GemOx in transplant-ineligible patients with R/R LBCL: primary results of the phase III SUNMO trial. Presented at the Society of Hematologic Oncology 2025 Annual Meeting; September 3-6, 2025; Houston, TX. Abstract ABCL-1492.

Game B's theosophical utopia vs. Dark Enlightenment's technocracy, esoteric roots, surveillance tech, fantasy delusions, and resisting AI-driven control During our podcast break, enjoy this replay of Courtenay's appearance on Out Of This World with host Jamie Hanshaw from June 2025. Key topics: Dialectic of Game B (decentralized, theosophical utopia) vs. Dark Enlightenment (authoritarian technocracy), both pushing a technological singularity/noosphere. Game B details: 2011 Stanton meetings (Jim Rutt, Jordan Hall, Brett Weinstein), transpolitical movement, civium projects, collective intelligence, and UN/climate narrative ties. Dark Enlightenment: Curtis Yarvin (Mencius Moldbug), Nick Land's accelerationism, Peter Thiel's network states, and technocracy roots (e.g., Elon Musk's grandfather). Esoteric influences: Theosophy, Gnosticism, neoplatonism, occult symbolism (e.g., Saturn, X logo), and subversion of Christianity (Jordan Hall, liturgy for communitarianism). Cultural impact: Predictive programming (e.g., Mickey 17, Dollhouse), surveillance tech (internet of nanobio things, Palantir), and fantasy delusions shaping technocratic agendas. Courtenay's insights: Decoding technocrat lingo, resisting utopian traps, and preserving free will against AI-driven control. Follow and Connect with Jamie Hanshaw:

The FF Dynasty, Season 9, Episode 82: Casey and Joseph @KoalatyStats dive into his Predictive Weighted Opportunity Score (PWOPR, pronounced Pee Whopper) to find Dynasty trade targets before they explode in value. -Seriously if you can produce a metric with a better R^2 score than our guy Joseph please leave a comment below we'd love to hear from you • SIGN UP TODAY FOR up to $200 in Prophet Cash BACK -- USE CODE: FFD WHEN SIGNING UP AT https://prophetx.onelink.me/E5Yi/FFD or DOWNLOAD THE PROPHETX APP #ProphetX ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Fantasy Football Survivor⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ (NEW GAME!) Free ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ + ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Discord⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ 5 Star Contest ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠! ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Insta⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TikTok⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ --

In this episode of the En Factor, we are joined by serial entrepreneur Xavier Serrano, who is now the founder and CEO of Marqi Medical. After spending over two decades in the insurance world, Xavier transitioned out of his previous venture to revolutionize preventive healthcare with Marqi. Using resources like artificial intelligence, advanced testing and diagnostics, and personalized coaching, Xavier and his team have developed a personalized predictive healthcare platform that works to identify and prevent significant illnesses and diseases before they truly become significant.  In this conversation, Xavier and Dr. Rebecca White take a deep dive into a variety of topics including Xavier's journey from insurance to starting his own holistic healthcare platform, navigating and managing the many relationships and moving parts involved in leading Marqi Medical, and the importance of prioritizing your own personal health as an entrepreneur. Tune in as you won't want to miss a second of Xavier's incredible journey, insights and advice! Key Words - Healthcare Innovation, Technology Entrepreneurship

In this episode of The Responsive Lab, we go deeper into the real, raw questions nonprofit leaders are asking about artificial intelligence. Things like strategy and governance to privacy, personalization, and predictive modeling. Join Virtuous' Chief AI Officer, Nathan Chappell, alongside co-hosts Carly Berna and Scott Holthaus as they unpack: What AI really means for nonprofit teams How predictive and generative AI work together to drive giving Why most AI initiatives fail and how to beat the odds Ethical and environmental concerns (and how to respond to them) How Virtuous is building the future of fundraising through AI Nathan brings years of experience in machine learning, innovation, and responsible AI use in philanthropy. This session is a roadmap for nonprofit teams looking to move from AI curiosity to AI clarity. Watch the webinar that prompted this conversation here: 5 Essentials for AI Success: What Today's Fundraising Teams Need to Know (and Do) to Thrive Learn more about Virtuous at virtuous.org/learnmore and download your free Nonprofit CRM Checklist at virtuous.org/crmchecklist

A cautionary tale about a life-threatening reaction to the double flu/Covid booster; Are migraines predictive of heart attacks? Where does all our recycling go? (The answer will shock you!); Ultra-processed foods damage male reproductive health.

In the late 2010s, a group of sheriffs out of Pasco County, Florida, believed they could predict crime. The Sheriff's Department there had piloted a program called “Intelligence-Led Policing” and the program would allegedly analyze disparate points of data to identify would-be criminals.But in reality, the program didn't so much predict crime, as it did make criminals out of everyday people, including children. High schoolers' grades were fed into the Florida program, along with their attendance records and their history with “office discipline.” And after the “Intelligence-Led Policing” service analyzed the data, it instructed law enforcement officers on who they should pay visit to, who they should check in on, and who they should pester.As reported by The Tampa Bay Times in 2020:“They swarm homes in the middle of the night, waking families and embarrassing people in front of their neighbors. They write tickets for missing mailbox numbers and overgrown grass, saddling residents with court dates and fines. They come again and again, making arrests for any reason they can.One former deputy described the directive like this: ‘Make their lives miserable until they move or sue.'”Predictive policing can sound like science fiction, but it is neither scientific nor is it confined to fiction.Police and sheriff's departments across the US have used these systems to plug broad varieties of data into algorithmic models to try and predict not just who may be a criminal, but where crime may take place. Historical crime data, traffic information, and even weather patterns are sometimes offered up to tech platforms to suggest where, when, and how forcefully police units should be deployed.And when the police go to those areas, they often find and document minor infractions that, when reported, reinforce the algorithmic analysis that an area is crime-ridden, even if those crimes are, as the Tampa Bay Times investigation found, a teenager smoking a cigarette, or stray trash bags outside a home.Today, on the Lock and Code podcast with host David Ruiz, we speak with Emily Galvin-Almanza, cofounder of Partners for Justice and author of the upcoming book “The Price of Mercy,” about predictive policing, its impact on communities, and the dangerous outcomes that might arise when police offload their decision-making to data.“ I am worried about anything that a data broker can sell, they can sell to a police department, who can then feed that into an algorithmic or AI predictive policing system, who can then use that system—based on the purchases of people in ‘Neighborhood A'—to decide whether to hyper-police ‘Neighborhood A.'”Tune in today.You can also find us on Apple Podcasts, Spotify, and whatever preferred podcast platform you use.For all our cybersecurity coverage, visit Malwarebytes Labs at malwarebytes.com/blog.Show notes and credits:Intro Music: “Spellbound” by Kevin MacLeod (incompetech.com)Licensed under Creative Commons: By Attribution 4.0 Licensehttp://creativecommons.org/licenses/by/4.0/Outro Music: “Good God” by Wowa...

Vanese McNeill, co-producer of the Magical Egypt series, returns to the show. In this episode, we explore the hows and possible whys of spirit involvement in history, from the super-elite level down to the everyday. And also across to some of the sillier claims about AI floating in the air like so many plasma entities. And all of this was inspired by a post Vanese wrote on the Magical Egypt substack about ontozoology back in June. So that's where we begin, and this is where we go after: 1. The Ontozoology Framework What invisible beings actually exist in the ecosystem Moving beyond Christian binary (demons vs. angels) to animist complexity The difference between malevolent, benevolent, and simply non-human agendas 2. Catherine Austin Fitts & Demonic Capital The exact quote about interdimensional intelligences controlling capital Why this is being discussed now by credible people The problem with oversimplifying complex entities as "Satan" 3. Conscious vs. Unconscious Elite Collaboration How much is deliberate ritual worship vs. unconscious possession The decline of magical literacy among modern elites Why materialist worldviews make people more vulnerable to influence 4. Historical Magic & Modern Mind Control Ancient Egyptian spirit relationships as information exchange How modern "operations" are rituals without the practitioners knowing it Predictive programming as contemporary magic 5. The AI & Slop Demon Problem Why "The Architect" and similar AIs aren't sentient but are dangerous How AI creates mental conditions ripe for spiritual colonisation The difference between AI hosting demons vs. AI making minds available for possession 6. UFOs, Aliens, and Interdimensional Beings The reframing of UFO phenomena as spiritual rather than extraterrestrial Catherine's invitation to meet "aliens in human bodies" Distinguishing between visiting organisms and native invisible ecology

"You don't get paid for the hour. You get paid for the value you bring to the hour." – Jim Rohn Check Out These Highlights: In the midst of all the chaos, how do you stand out from the crowd and become the only logical choice in your field of expertise? In this episode, my guest will share proven principles that, when applied, have empowered people to monetize their life's mission and create a lasting legacy for their family. So I ask you, “Are you ready to break free from your limiting beliefs, so you can design your destiny and monetize your expertise like never before?” About Joel Bauer: Joel has trained some of the world's top income-producing speakers, presenters, and online marketers to monetize their life experience, both online and offline. For decades, Joel's principles have set the bar for speaking, teaching, and closing at the highest level. By applying Joel's strategies, you can break free from limitations, design your destiny, and monetize your expertise like never before. How to Get in Touch with Joel Bauer: Website:   https://joelbauer.com/ Email:  support@joelbauer.com Gift - 5Moves2Authority on Instagram:  https://www.instagram.com/joelbauermentor/  direct message the phrase, “5Moves”  Stalk me online! LinkTree: https://linktr.ee/conniewhitman   Subscribe to the Changing the Sales Game Podcast on your favorite podcast streaming service or YouTube. New episodes are posted every week - listen as Connie delves into new sales and business topics, or addresses problems you may have in your business.

We made it to Episode 6 - the final in our 15 Architectural Decisions series and saved some of the best for last - Predictive and Proactive support (Pure1) combined with our Evergreen architecture and non-disruptive everything. In this episode, JD, Andrew and I dive into Pure Storage's foundational principles that ensure continuous operation and future-proof your storage. We explore the concept of "Non-Disruptive Everything," a core tenet that allows for seamless upgrades and expansions without any downtime. This ties directly into the innovative Evergreen Storage Model, which redefines the ownership experience by eliminating forklift upgrades and enabling independent evolution of performance, capacity, and features over a decade-long array lifecycle. We also discuss how Pure's proactive and predictive support, powered by Pure1, plays a critical role in maintaining this non-disruptive environment. Pure1's advanced analytics, anomaly detection, and data protection assessments provide unparalleled visibility and ensure that potential issues are identified and addressed before they impact operations. This integrated approach, from architecture to support, highlights how Pure Storage consistently delivers a cloud-like experience on-premises, setting a new standard for reliability and longevity in the storage industry. Thanks for watching our series. Series Overview: Pure Storage's foundational approach to product engineering is guided by 15 architectural decisions that were established at the company's inception and have shaped both the technical and user experience across its product lines. These architectural choices were not made arbitrarily—they stem from a deliberate focus on simplicity, efficiency, and scalability, ensuring Pure could deliver storage solutions that break away from legacy complexity and enable continuous innovation without compromise. This series will guide viewers through all of the 15 principles, helping you understand why certain choices were made, how they impact your operations, and how they compare to other industry features and products. Join Pure Report podcast hosts Rob Ludeman, Andrew Miller, and J.D Wallace for this fun technical retrospective on Pure Storage.

What if the clean energy transition is built on one of the dirtiest secrets in industry—rare earth metals? They power EVs, AI, and defense systems, yet most are processed overseas with toxic, outdated methods. In this episode, Nicholas Myers, CEO of Phoenix Tailings, shares how his company is transforming mining waste into a clean, domestic source of critical materials. From backyard prototypes to pioneering world-first predictive complexation, Nick shares the grit, innovation, and vision it takes to scale deep tech in one of the world's most entrenched industries—and why zero-waste, zero-emission metals are vital for both energy security and the environment. Tune in to hear how backyard experiments grew into a global metals revolution.--- Hey Climate Tech enthusiasts! Check out Leaders on a Mission, where I interview climate tech leaders shaking up the industry and bringing us the next wave of sustainable solutions. Join me for a deep dive into the future of green innovation—exploring the highs, lows, and everything in between of pioneering new technologies.Tune in on…YouTube: https://www.youtube.com/@leadersonamissionNet0Spotify: https://open.spotify.com/show/7o41ubdkzChAzD9C53xH82Apple Podcasts: https://podcasts.apple.com/us/podcast/leaders-on-a-mission/id1532211726…to listen to the latest episodes!Timestamps:00:58 – Nick's unconventional journey04:17 – Backyard experiments begin07:22 – Tackling mining waste11:23 – Predictive complexation breakthrough13:40 – AI in metallurgy17:04 – US-China supply chain exposure19:15 – Scaling defense capacity22:56 – Financing beyond VC25:05 – Rare earths in production28:27 – Lessons from fundraising31:43 – The three-year IPO vision33:35 – Building high-performance teams38:31 – Values that drive Phoenix TailingsUseful links: Phoenix Tailings website: https://phoenixtailings.com/Phoenix Tailings LinkedIn: https://www.linkedin.com/company/phoenixtailings/Nicholas Myers  LinkedIn: https://www.linkedin.com/in/nicholaswilliammyers/Leaders on a Mission website: https://cs-partners.net/podcasts/Simon Leich's LinkedIn: https://www.linkedin.com/in/executive-talent-headhunter-agtech-foodtech-agrifoodtech-agritech/

Today we cover more of John Coleman's forgotten predictive text from the 90s as well as films that accidentally predicted where we are in culture, and more secrets of Klaus and the popes. https://www.eventbrite.com/e/athens-jerusalem-orthodox-art-philosophy-life-tickets-1598008298839?aff=oddtdtcreator Send Superchats at any time here: https://streamlabs.com/jaydyer/tip Join this channel to get access to perks: https://www.youtube.com/channel/UCnt7Iy8GlmdPwy_Tzyx93bA/join PRE-Order New Book Available in Sept here: https://jaysanalysis.com/product/esoteric-hollywood-3-sex-cults-apocalypse-in-films/ Get started with Bitcoin here: https://www.swanbitcoin.com/jaydyer/ The New Philosophy Course is here: https://marketplace.autonomyagora.com/philosophy101 Set up recurring Choq subscription with the discount code JAY44LIFE for 44% off now https://choq.com Lore coffee is here: https://www.patristicfaith.com/coffee/ Subscribe to my site here: https://jaysanalysis.com/membership-account/membership-levels/ Follow me on R0kfin here: https://rokfin.com/jaydyer Music by Amid the Ruins 1453 https://www.youtube.com/@amidtheruinsOVERHAUL Join this channel to get access to perks: https://www.youtube.com/channel/UCnt7Iy8GlmdPwy_Tzyx93bA/join Join this channel to get access to perks: https://www.youtube.com/channel/UCnt7Iy8GlmdPwy_Tzyx93bA/join #comedy #religion #podacstBecome a supporter of this podcast: https://www.spreaker.com/podcast/jay-sanalysis--1423846/support.

Tony Shipley, a seasoned entrepreneur and founder of Queen City Angels, joins Jeff Bloomfield to share his journey from a Tennessee farm to building one of America's fastest-growing tech companies and mentoring over 125 startups. Tony reveals the timeless lessons from his upbringing, the importance of intellectual curiosity and critical thinking in entrepreneurship, and why being coachable is the most underrated trait for founders. This episode is a roadmap for anyone seeking to build a meaningful business while leaving a lasting legacy. This isn't just a conversation about startups—it's a masterclass on building something that matters. Whether you're a founder, executive, or aspiring leader, Tony's wisdom will challenge how you think about success, decision-making, and leadership. If you've ever wondered how to turn ideas into impact—or how to avoid the mistakes that sink early-stage companies—this episode is a must-hear. Entrepreneurship is simple, not easy: Businesses succeed when they focus on customer problems, not just clever ideas. Coachability trumps confidence: Founders who “know it all” rarely get funded or scale successfully. Fail fast, learn faster: Quick iteration saves time, money, and credibility. Every founder is first selling themselves, not just their product. Networking is a superpower: Mentors and advisors are everywhere if you're willing to ask. Intellectual curiosity and critical thinking are the twin engines of progress. Predictive programming drives unconscious decision-making—be aware of yours. Fractional expertise beats lone hero syndrome—hire where you lack skills. Legacy is built on people and memories, not exits or net worth. Ideas aren't fragile—if you're afraid to share them, they're not strong enough. 00:00 – Opening & Tony's $1B startup impact 03:45 – Growing up on a Tennessee farm: lessons for life and business 12:30 – The stages of entrepreneurship (idea → MVP → scale) 20:30 – Networking and the power of asking the right questions 23:30 – Fear, pride, and the failure coin in entrepreneurship 28:40 – Intellectual curiosity and critical thinking as superpowers 31:00 – Predictive programming and founder patterns 35:30 – Building a lasting personal and professional legacy Why You Should Listen Top 10 Takeaways Chapter Markings 39:35 – Resources and how to get started in entrepreneurship

This is a clip from The After Dark Show with Don Rogers! Get access to the full episode and all thier content on all podcast platforms or click the link belowFull episode here! https://www.spreaker.com/episode/s2-e39-aurora-diamondheart-bg-cast-rick-morty-predictive-programing-disclosure--67401951Get access to every episode of The After Dark Show with Don Rogers https://www.spreaker.com/podcast/the-after-dark-show-with-don-rogers--6191691Forbidden Knowledge Network https://forbiddenknowledge.news/Become a supporter of this podcast: https://www.spreaker.com/podcast/forbidden-knowledge-news--3589233/support.