Podcasts about Predictive analytics

In this episode of the ‘AI in Business' podcast, Scott Bradley, VP of AI and Innovation at Novartis, returns to discuss how AI is reshaping decision-making at the earliest stages of drug development—and what that means for the future of pharma investment strategy. Host Matthew DeMello and Scott explore how the pharmaceutical industry is transitioning from intuition-led portfolio choices to data-driven precision. They discuss the growing influence of AI in identifying viable drug candidates, designing complex proteins, and even solving long-standing manufacturing challenges. Scott also highlights the impact of AI on shifting portfolio dynamics—enabling pharma companies to target smaller, more specific patient populations and scale up development across a wider range of therapies. With AI now central to everything from molecule discovery to commercialization, the conversation offers a window into how life sciences organizations must adapt both structurally and strategically to stay competitive. 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! This episode is sponsored by Intelligencia AI. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Use Token Metrics for data-driven, AI-powered ratings on thousands of coins and token. Read crypto expert Kishor Akshinthala's review of the platform's latest features. More details at https://akshinthalakk.com/token-metrics/ Crypto Exponentials City: Princeton Address: 3535 US-1, Website: https://cryptoexponentials.com/

AI is no longer a “nice-to-have”—it's a game-changer for dealerships that want to win in today's competitive market. In this episode of Dealer Talk with Jen Suzuki, I sit down with Lance Schafer, General Manager of Product and Technology at LotLinx, who's been leading the charge in applying machine learning to the core areas where dealers often struggle most: inventory management, pricing, and customer experience. Lance breaks down how traditional dealership strategies—like pricing based on gut feeling or managing inventory with old sales data—are being replaced with data-driven, real-time AI systems that help stores become more profitable and efficient. We talk about: How AI shifts inventory strategy from reactive to predictive How dynamic pricing boosts both speed and profitability Using machine learning to match inventory with what customers actually want The biggest hurdles in AI adoption and how to overcome them What trends are coming next, and how to prepare now Whether you're just exploring AI or already testing tools, this episode will give you clarity on where the real impact is—and how to start modernizing before the market forces your hand. Dealer Talk with Jen Suzuki Podcast |

No one is better equipped to support patients than providers. But do health systems have the power required to improve the healthcare system?  In this episode of Healthcare Insider, Premier Inc. President and CEO Mike Alkire explains why a provider-led model—not one led by payers or legacy tech vendors—is the only viable path forward. He outlines how hospitals can take back control and lead transformation by focusing on high-value partnerships, smarter use of data and AI-driven solutions. Listen to learn how health systems can: Shift power from payers to providers through strategic partnerships Leverage data and AI to reduce costs and improve outcomes Incentivize innovation to build a more sustainable system

Show Notes[00:01] Jamie and Scott Middleton discuss personal stories of emergency devices like the Apple Watch.[00:03] The resistance of seniors and some healthcare professionals to adopt wearable medical technology.[00:06] The critical role of remote patient monitoring (RPM) in improving healthcare decisions.[00:14] Real-life example where RPM detected sudden weight gain, preventing a serious health crisis.[00:18] Advances in at-home diagnostics: spirometers, sleep study rings, and cardiac patches.[00:23] How Your Health is rolling out RPM with 23,000 homebound patients and hiring respiratory and therapy staff.[00:25] Call to action for healthcare workers, patients, and caregivers: use technology to prevent hospitalization and improve quality of life.[00:33] Discussion on AI-driven predictive analytics and the untapped potential of connecting wearable data to providers.[00:35] Challenges with FDA timelines and the potential for AI to expedite drug development. www.YourHealth.Org

In this episode of Zero to CEO, I speak with Harvard serial founder Shirish Nimgaonkar about how his company, eBlissAI, is leading a new era of agentic AI through self-healing, autonomous systems. Shirish explains why today's enterprise IT systems are falling short and how eBlissAI's platform is transforming endpoint management by combining real-time analytics, predictive insights, and intelligent automation. We discuss how businesses can drastically reduce operational costs, improve user productivity, and gain a superior ROI by adopting AI that not only reacts but predicts and personalizes. With enterprise tech at a tipping point, this episode explores why now is the critical moment to embrace truly autonomous solutions.

Send us a textClose out the week with a power-packed episode of the Customer Success Playbook, as Roman Trebon and Kevin Metzger welcome Joe Di Grande for a lively Friday discussion on AI in customer success! Joe shares an honest look at how AI can supercharge your customer success playbook—but only if deployed with clarity and purpose. Learn how to avoid the common pitfall of chasing shiny AI tools without aligning them to your actual goals. From automation to predictive analytics, this episode is a must-listen for forward-thinking CS and product marketing teams.Detailed Analysis: In a world where every scroll brings a new "game-changing" AI app, Joe Di Grande brings much-needed sanity to the conversation. Returning to the Customer Success Playbook, Joe shares practical ways AI can drive serious gains—faster customer engagement, smarter predictive analytics, better documentation—but not without a word of caution: it's not about the tool, it's about the goal.Joe lays out a clear decision framework: start by asking what business problem you're solving, measure the potential time savings, and always weigh the cost versus value, much like any traditional tech investment. He shares examples from his own consulting work, including custom GPT bots, clever workflow automation with tools like Tango, and AI-driven stakeholder management.Kevin and Roman add extra layers of wisdom, emphasizing that AI project evaluation is not fundamentally different from any other project: start with objectives, measure value, manage implementation smartly. Along the way, they give a shoutout to innovative tools like Cast.app and discuss how to stay grounded when AI hype is everywhere.If you want to integrate AI into your customer success playbook—without losing focus or budget—this episode delivers practical, optimistic, and realistic strategies.Now you can interact with us directly by leaving a voice message at https://www.speakpipe.com/CustomerSuccessPlaybookPlease Like, Comment, Share and Subscribe. You can also find the CS Playbook Podcast:YouTube - @CustomerSuccessPlaybookPodcastTwitter - @CS_PlaybookYou can find Kevin at:Metzgerbusiness.com - Kevin's person web siteKevin Metzger on Linked In.You can find Roman at:Roman Trebon on Linked In.

In dieser Folge geht's um die Frage: Macht Größe von Large Language Models (LLMs) bei Predictive Analytics wirklich einen Unterschied? Wir vergleichen Open-Source-Modelle mit bis zu 70 Milliarden Parametern – und siehe da, das 8B-Modell schlägt das große Schwergewicht. Außerdem berichten wir vom Finetuning auf einer AWS-Maschine mit 8 A100-GPUs und den Herausforderungen in Bezug auf die Reproduzierbarkeit. Auch das viel diskutierte DeepSeek-Modell haben wir im Autopreis-Benchmark antreten lassen. Und wie immer fragen wir uns: Was ist praktisch und was ist overkill?   **Zusammenfassung** Modellgröße ≠ bessere Prognosen: Das Llama-3.1-8B übertraf das größere 70B-Modell bei der Fahrzeugpreisprognose DeepSeek im Benchmark: Das chinesische Modell zeigt bei größeren Trainingsmengen eine ähnlich gute Performance wie das Llama-3.1-8B, ist bei kleinen Datensätzen aber schwächer Finetuning mit Multi-GPU auf AWS: Für das 70B-Modell war ein Setup mit 8 A100-GPUs nötig Reproduzierbarkeit bleibt schwierig: Trotz Seed erzeugen wiederholte Finetuning-Runs unterschiedliche Ergebnisse Modellselektion empfohlen: Um zuverlässige Prognosen zu erhalten, sollte aus mehreren Finetuning-Durchläufen das beste Modell ausgewählt werden CPU-Inferenz möglich, aber langsam: Im Vergleich zur GPU war die Vorhersage auf der CPU ca. 30-mal langsamer, Quantisierung könnte künftig Abhilfe schaffen Ausblick auf TabPFN & Quantisierung: Kommende Beiträge widmen sich Erfahrungen mit TabPFN und der praktischen Umsetzung von quantisierten LLMs auf kleineren Maschinen **Links** [Begleitender Blogartikel] Predictive LLMs: Skalierung, Reproduzierbarkeit & DeepSeek https://www.inwt-statistics.de/blog/predictive-llms-skalierung-reproduzierbarkeit-und-deepseek #50: Predictive Analytics mit LLMs: ist GPT3.5 besser als XGBoost? https://inwt.podbean.com/e/50-predictive-analytics-mit-llms-ist-gpt35-besser-als-xgboost/ #64: Predictive LLMs: Übertreffen Open-Source-Modelle jetzt OpenAI und XGBoost bei Preisprognosen https://inwt.podbean.com/e/64-predictive-llms-ubertreffen-open-source-modelle-jetzt-openai-und-xgboost-bei-preisprognosen/ vLLM Framework für schnelle Inferenz: https://github.com/vllm-project/vllm?tab=readme-ov-file torchtune Finetuning-Framework von PyTorch: https://github.com/pytorch/torchtune PyTorch Reproducibility: https://pytorch.org/docs/stable/notes/randomness.html Paper zur Reproduzierbarkeit von QLoRA-Finetuning: S. S. Alahmari, L. O. Hall, P. R. Mouton and D. B. Goldgof, "Repeatability of Fine-Tuning Large Language Models Illustrated Using QLoRA," in IEEE Access, vol. 12, pp. 153221-153231, 2024, doi: 10.1109/ACCESS.2024.3470850 https://ieeexplore.ieee.org/document/10700744 heise online: Komprimierte KI: Wie Quantisierung große Sprachmodelle verkleinert von René Peinl https://www.heise.de/hintergrund/Komprimierte-KI-Wie-Quantisierung-grosse-Sprachmodelle-verkleinert-10206033.html deepseek-ai/DeepSeek-R1-Distill-Llama-8B auf Huggingface https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-8B#6-how-to-run-locally TabPFN: Hollmann, N., Müller, S., Purucker, L. et al. Accurate predictions on small data with a tabular foundation model. Nature 637, 319–326 (2025). https://doi.org/10.1038/s41586-024-08328-6  Feedback, Fragen oder Themenwünsche gern an podcast@inwt-statistics.de

Alexei Chemenda, CEO and co-founder of Poolday.ai, discusses how AI enables marketers to focus on strategy and storytelling. Discover the future of personalized video ads, the evolving role of A/B testing, and the importance of combining creative and analytical skills in marketing. 00:00 Introduction: Misconceptions About AI in Marketing01:53 Revolutionizing Ad Creation with AI02:53 Personalization and Creative Control04:15 Continuous Creative Cycle04:37 AI in Gaming and Brand Marketing09:22 Balancing Volume and Quality in AI-Driven Marketing16:37 Predictive Analytics and Data Fluency20:19 Future Skills for Marketing Leaders23:13 Enhancing Human Creativity with AI25:22 Conclusion and Contact Information

In this episode of the Greenbook Podcast, Karen Lynch sits down with Kalindi Mehta, Global VP of Consumer Foresight, Strategy, and Predictive Analytics at Estée Lauder Companies. Kalindi shares how the beauty industry's emotional, cultural, and highly personalized nature requires real-time consumer insight and constant innovation.She discusses how AI is transforming the end-to-end insights process—from sensing trends and matching products to co-creating with influencers and optimizing business results. Kalindi also dives into the skills and mindset insights professionals need to thrive in an AI-driven future, and offers practical leadership advice for driving transformation within organizations. A must-listen for anyone navigating the evolving intersection of data, creativity, and consumer foresight.Key Discussion Points:How Estée Lauder uses AI to drive consumer foresight and innovationThe cultural and emotional complexity of beauty consumersBuilding insights capabilities that scale across global teamsWhy AI enhances—rather than replaces—human expertiseSkills and leadership strategies for thriving in AI-powered insights workResources & Links:Estée Lauder CompaniesYou can reach out to Kalindi Mehta on LinkedIn.Many thanks to Kalindi Mehta for being our guest. Thanks also to our production team and our editor at Big Bad Audio.

In this must-listen episode of the CPQ Podcast, we dive into one of the most talked-about trends in the Configure, Price, Quote (CPQ) space: Artificial Intelligence. Is AI in CPQ a game-changer today—or a promise for tomorrow? Join us as we explore the real-world state of AI in CPQ from the perspective of a seasoned CPQ expert (not an AI evangelist!). We cut through the hype and take a practical look at how AI is being used—right now—to improve quoting processes, enhance guided selling, personalize upsell strategies, and even write quote letters and automate testing. You'll learn:

In this episode of Hotel Moment, Karen Stephens sits down with Dana Cariss, Senior Vice President of Revenue Strategy at CoralTree Hospitality. Dana shares insights on how his team has consolidated guest data across systems to understand spending patterns and personalize communications. From analyzing where guests spend resort credits to creating seven layers of segmentation, Dana reveals how CoralTree is using data to drive revenue while enhancing guest satisfaction across their diverse portfolio of luxury hotels and vacation rentals.

Ben Brady is joined once again by resident tech expert Tony Self to explore how artificial intelligence is revolutionizing how agents forecast future sellers and price properties with data-backed precision. Together, they break down the growing role of predictive analytics in real estate—from identifying the most likely sellers in your database to creating more accurate valuations using multiple sources of market data.Tony shares his current work using platforms like ChatGPT, DeepResearch, and CoStar to build valuation models and investment insights, especially for multifamily properties. He also unveils his experimentation with AI agents capable of completing real tasks inside your browser—think booking flights, uploading WordPress content, or even completing basic real estate forms. While the technology is still developing, the implications for the industry are massive.Tune in for a practical discussion on how agents can begin using AI today, why relying solely on web-scraped data can be dangerous, and what every agent should know about combining AI tools with real-world context. Whether you're tech-savvy or just getting started, this conversation offers timely insights into what's next for real estate professionals in an AI-driven world.Timestamps & Key Topics:[00:00:00] – Introduction to Predictive Analytics in Real Estate[00:02:15] – Using AI to Identify Likely Sellers Before They Hit the Market[00:04:14] – The Power of Personal Data vs. Public Web Data[00:07:10] – Why AI Price Estimates Can Miss the Mark[00:10:27] – Real-World Use: Tony's Multifamily Data Model with CoStar[00:14:56] – Feeding AI the Right Data: Step-by-Step Process[00:18:16] – Comparing $15K Market Reports vs. DIY AI Research[00:21:14] – A Look at GPT's Agent Feature & Virtual Browser Capabilities[00:24:44] – Could AI Complete Real Estate Forms for You?[00:26:30] – How Agents Can Use AI as a Strategic Advantage Today

Leadership assessments can help your company ensure that employees in the most critical roles are performing as well as possible. Contact Arkhadome Consulting to receive your personalized reports. Visit https://arkhadome-consulting.harrisonassessments.eu/English/request-a-demo.html ArkhaDome Consulting City: Sheridan Address: 30 N Gould St Ste R Website: https://arkhadome-consulting.harrisonassessments.eu/english/index.html

In this episode of Trending in Education, host Mike Palmer interviews Emily Coleman, co-founder and CEO of HAI Analytics Inc, about the intersection of data science and higher education. Emily shares her journey from a PhD in Psychology and Statistics to founding HAI Analytics, highlighting her passion for using data to drive decision-making in higher education. They discuss the importance of predictive analytics, the challenges and opportunities for data implementation in higher education, and the skills needed for success in data science.   Key Takeaways: The evolution of AI and its applications in predictive analytics.   Challenges higher education institutions face in becoming more nimble and data-driven. Strategies for developing effective dashboards and data infrastructure.   The balance between leveraging data for insights and maintaining data security and privacy.   Essential skills and advice for aspiring data scientists.   Why You Shouldn't Miss This Episode: This conversation provides valuable insights for anyone interested in the role of data in shaping the future of higher education. Whether you're an educator, administrator, or data enthusiast, Emily's expertise offers a unique perspective on how institutions can harness the power of data to improve student outcomes, optimize resources, and navigate the evolving landscape of education. Subscribe to Trending in Ed wherever you get your podcasts. Visit us at TrendinginEd.com for more sharp takes on the future of education.

#updateai #customersuccess #saas #businessIn this episode of the Unchurned podcast, we are joined by our dynamic duo of experts, James Sanders (AI Implementation Strategist) and Michelle Carter (Customer Success Innovation Lead). From automated call summaries and sentiment analysis to predictive analytics and personalized customer experiences, James and Michelle will guide us through the current trends and future possibilities of AI.They discuss the burgeoning interest in specialized AI tools for customer success and delve into various applications—such as conversation intelligence, chatbots, and predictive health scoring—that are reshaping the industry. By leveraging AI, CSMs can focus on building relationships and delivering value with their new AI copilots.Timestamps0:00 - Preview & Intros2:17 - AI and Customer Success3:11 - Call summaries and follow-up generation4:05 - Voice of the Customer (Sentiment Analysis)5:11 - Predictive Analytics for Churn and Upsell6:03 - Customer Health Scoring6:40 - Task Automation and Workflow Orchestration7:42 - Chatbots and Self-Service AI8:37 - Personalized Content and Recommendations10:52 - Sophisticated proactive retention alerts12:02 - Embedded copilots for AI assistance 13:03 - Multichannel customer orchestration15:45 - Solution Categories in AI for Customer Success19:39 - Glossary of Terms Related to AI___________________________

Alexei Chemenda, CEO and co-founder of Poolday.ai, discusses how AI enables marketers to focus on strategy and storytelling. Discover the future of personalized video ads, the evolving role of A/B testing, and the importance of combining creative and analytical skills in marketing. 00:00 Introduction: Misconceptions About AI in Marketing01:53 Revolutionizing Ad Creation with AI02:53 Personalization and Creative Control04:15 Continuous Creative Cycle04:37 AI in Gaming and Brand Marketing09:22 Balancing Volume and Quality in AI-Driven Marketing16:37 Predictive Analytics and Data Fluency20:19 Future Skills for Marketing Leaders23:13 Enhancing Human Creativity with AI25:22 Conclusion and Contact Information

In this episode of the HR Leaders Podcast, we sit down with Neeraj Tandon, Head of People Insights and Analytics at Syngenta Group, to discuss how predictive analytics, cultural transformation, and employee insights are reshaping HR strategies. Neeraj shares impactful stories and practical approaches from his experience at Novartis and Philips, highlighting how analytics can dramatically improve employee retention, business outcomes, and overall organizational effectiveness.

I met this week's guest while he was a SVP of Sales at one of my customer accounts. Our first meaningful interaction was him letting me know that they were churning. That conversation led to additional conversations, zoom calls, and he turned into not only someone I can look to as a Mentor, but is an all around good person. He has made his living in the lead generation space, and this conversation was when he just took his experience to Promowise, which is a B2B Demand Generation Service that uses Competitor Intelligence, Buyer Intent, and Predictive Analytics.Without further ado, please join me in welcoming Mr. Joe Espinosa to the show! In this week's episode, we discussed:Always Solving Problems and Diving Deeper (As A Child) What Do You Want/Match Your Job With Your Skills/LifestylePlanning In Job HuntWhat You Say No To Is ImportantMindset CourseMuch More!Please enjoy this week's episode with Joe Espinosa. ____________________________________________________________________________I am now in the early stages of writing my first book! In this book, I will be telling my story of getting into sales and the lessons I have learned so far, and intertwine stories, tips, and advice from the Top Sales Professionals In The World! As a first time author, I want to share these interviews with you all, and take you on this book writing journey with me!Like the show? Subscribe to the email: https://mailchi.mp/a71e58dacffb/welcome-to-the-20-podcast-communityI want your feedback!Reach out to 20percentpodcastquestions@gmail.com, or find me on LinkedIn.If you know anyone who would benefit from this show, share it along! If you know of anyone who would be great to interview, please drop me a line!Enjoy the show!

In this episode of the Innovators' Exchange, David Benigson, the founder and CEO of Signal AI, meets with Hiten Patel and Archie Stebbings. David shares insights about his entrepreneurial journey, the inception of Signal AI, and the evolving landscape of risk management and compliance in the context of artificial intelligence (AI). He discusses the importance of external intelligence for large enterprises and how Signal AI leverages machine learning to provide actionable insights from diverse data sources. The conversation also explores the broader implications of AI technology, the challenges organizations face in adopting these solutions, and the future of augmented intelligence in business decision-making.

956: How can AI, data analytics, and predictive modeling revolutionize healthcare? In this episode of Technovation, host Peter High interviews Matt Kull, Chief Information and Digital Officer at Inova Health System, about how AI and data are reshaping patient care. Matt shares how AI is helping to automate administrative tasks, secure patient data, and predict hospital resource needs. He also discusses the future of edge computing and wireless technology in healthcare, ensuring hospitals operate more efficiently while delivering personalized, data-driven treatments.

Join host Harshida as she dives into supply chain technology and logistics innovation with Jason Murray, Co-Founder and CEO of Shipium. With 19 years at Amazon, where he played a key role in building Amazon Prime and Subscribe & Save, Jason shares how data, automation, and a customer-first mindset transformed Amazon's supply chain—and how similar principles can help businesses of all sizes compete. Learn how logistics leaders can adopt an Amazonian approach to predictive analytics, operational efficiency, and scalable fulfillment solutions to stay ahead in today's fast-moving eCommerce landscape.What You'll LearnAmazon's Logistics Playbook – Lessons from Jason's time leading Amazon's fulfillment and supply chain optimization teams.Scaling with Data Science – Why predictive analytics and machine learning are game-changers for fulfillment efficiency.Automation vs. Human Expertise – Striking the right balance between AI-driven logistics and people-powered problem-solving.Product-Market Fit for Startups – Hard-earned lessons from building Shipium and helping 3PLs and brands compete.The Future of eCommerce Logistics – Trends shaping fulfillment, including B2B supply chains, on-demand logistics, and deep customer insights.Highlights[00:01:00] – Jason's 19-year Amazon journey: From fulfillment systems to leading Amazon Prime's logistics strategy.[00:03:30] – How Amazon's supply chain turned logistics into a competitive advantage with machine learning and predictive analytics.[00:07:45] – The challenge of bringing Amazon-level logistics to 3PLs, retailers, and brands—and why most are still “fighting with sticks and stones.”[00:12:30] – Finding product-market fit as a startup: Jason's lessons on iterating, adapting, and learning from customer feedback.[00:18:00] – The next frontier in supply chain tech: Using data to optimize fulfillment, increase speed, and reduce costs at scale.Quotes[00:03:00] "Amazon's tech divide was massive. The rest of the industry was competing with sticks and rocks, while Amazon had F-16s and drones." – Jason Murray[00:10:30] "It's not about making companies 'like Amazon'—it's about applying Amazon's approach: start with the customer, use data, and automate at scale." – Jason Murray[00:12:45] "Finding product-market fit is about brutal honesty. You have to ask: Why did we lose this deal? What's missing? No excuses." – Jason Murray[00:19:00] "The future of logistics is about turning everything into a math problem. Data will drive the next wave of supply chain innovation." – Jason MurrayAbout the GuestJason Murray is the Co-Founder & CEO of Shipium, a company revolutionizing supply chain technology for eCommerce and retail. Before launching Shipium, Jason spent 19 years at Amazon, where he helped build Amazon Prime, Subscribe & Save, and Amazon's predictive logistics systems. His expertise in data-driven decision-making, automation, and supply chain optimization is helping 3PLs and retailers compete at an enterprise level. Connect with Jason on LinkedInLearn more about Shipium Subscribe and Keep Learning!If you're a logistics leader looking to scale sustainably, don't miss out! Subscribe for more expert strategies on tackling modern supply chain challenges. Be sure to follow and tag the eCom Logistics Podcast on LinkedIn and YouTube

Prescription medications are fairly controversial these days – cost, insurance coverage, efficacy, and too often, medications are dosed incorrectly, cause toxic side effects or just don't work. But what if we could change how we prescribe drugs, what if there was a 3D printer that could design pills that adapt to an individual's needs, and maybe print-on-demand the medications tailored to the patient? Or what if there was a real-world device that worked like the diagnostic Tricorder we imagined watching Star Trek? How about AI-infused antiviral discoveries and laboratory-level diagnostic tools accessible via your smartphone?  These ideas and technologies, and many more, are paving the way to a more democratized, connected and data-driven future of medicine, and personalized care. And this is the world where Dr. Daniel Kraft thrives. Daniel is a Stanford and Harvard trained physician-scientist with more than 25 years of experience in clinical practice, biomedical research, and innovation. He is Founder and Chair for NextMed.Health, a program which explores convergent, rapidly developing technologies and their potential to reshape the future of health and biomedicine, and he is the Faculty Chair for Medicine at Singularity University.  I'm not sure if we can call Daniel a medical futurist, as he seems to be a co-creator of that future, but I asked about what some of the various technologies transforming patient care in the next decade may be, as well as some of the exciting innovations he's seen in regenerative medicine and stem cell therapies recently. Daniel had a great deal to say about his thoughts on that vis-à-vis personalized medicine.  We wrapped up with Daniel sharing who's influenced you him and his work, and the various mentors he had in his various areas of interest. He also shared advice for young medical professionals interested in innovation and entrepreneurship. Daniel's work and life are a testament to the benefit that cross-disciplinary approaches, augmented by technological innovations, can bring to medicine and healthcare. While Daniel's work saves lives, he also serves as an inspiration for all of us to live our lives more fully.

Send us a textSummary: Welcome to the final installment of our three-part series with Martin Vogel on the Customer Success Playbook Podcast! This week, we dive into the transformative role AI plays in global support frameworks—particularly in the hardware plus SaaS world. AI isn't just a buzzword; it's changing the way businesses handle predictive insights, proactive service, and internal efficiencies. From making sense of massive data streams to optimizing processes and improving coaching strategies, AI is proving to be a game-changer. If you've ever wondered how to harness AI for better customer outcomes, this episode is for you.Detailed Analysis: In this insightful conversation, Martin Vogel, alongside hosts Roman Trebon and Kevin Metzger, explores how AI is helping companies cut through the noise of massive hardware data and streamline support operations. AI-driven analytics offer a clearer picture of device performance, support tickets, and user behaviors, allowing businesses to shift from reactive to proactive service models.Kevin highlights how AI can structure knowledge bases, transforming recorded conversations into actionable insights—eliminating the need for manual documentation. The discussion also delves into AI's ability to free up developer time, ensuring that valuable resources are allocated toward customer-centric improvements rather than repetitive tasks. Meanwhile, Roman emphasizes AI's potential in coaching and training, making feedback loops more efficient and tailored.As AI continues to evolve, its role in customer success becomes more indispensable. Whether it's reducing inefficiencies, automating routine tasks, or enhancing learning, AI is redefining the way businesses engage with customers. Don't miss this deep dive into the intersection of AI, hardware, and customer success.Now you can interact with us directly by leaving a voice message at https://www.speakpipe.com/CustomerSuccessPlaybookPlease Like, Comment, Share and Subscribe. You can also find the CS Playbook Podcast:YouTube - @CustomerSuccessPlaybookPodcastTwitter - @CS_PlaybookYou can find Kevin at:Metzgerbusiness.com - Kevin's person web siteKevin Metzger on Linked In.You can find Roman at:Roman Trebon on Linked In.

In this podcast episode, Dr. Jonathan H. Westover talks with with Jennifer Mulholland and Jeff Shuck about conscious leadership. Jennifer Mulholland is an author, strategist, alchemist, executive coach, and co-owner of Plenty Consulting. From a very young age, she's been dedicated to raising the consciousness of people on the planet. For the last decade, she and her business partner, Jeff Shuck, have helped thousands of conscious leaders and businesses grow in revenue, impact, and fulfillment. Before becoming co-owner of Plenty, Jennifer was Chief Innovation Officer at SunGard, a Fortune 500 technology company. She founded several businesses focused on bridging the gap between information and impact in healthcare, technology, and holistic wellbeing. She is a certified Reiki and Theta healer trained in shamanic and energy medicine. She has a B.S. degree in Exercise and Sports Science, Psychology, and Coaching from the University of Utah. Jennifer was a two-sport Division I athlete and captain at the University of Delaware, playing both field hockey and lacrosse. She lives in Park City, Utah, where she enjoys an active, outdoor lifestyle with her husband and two children in the mountain town she's called home for almost thirty years. Jeff Shuck is an accomplished leader and entrepreneur with deep experience in leadership development, consulting, and social impact. Jeff is co-owner of Plenty Consulting with his business partner Jennifer Mulholland. Together, they have helped thousands of for-profit and non-profit leaders and organizations create their strategies, grow their fundraising, innovate new programs, and develop conscious cultures. Before founding Plenty, Jeff was co-founder and CEO of fundraising firm Event 360, raising nearly a billion dollars for charity over 12 years. Jeff graduated Phi Beta Kappa from the University of Rochester and earned an MBA from Kellogg School of Management and an MS in Predictive Analytics from Northwestern. His work in positive change and social impact has been featured in a variety of outlets such as Marketplace, the Wall Street Journal, Fatherly, and the Stanford Social Innovation Review. Jeff is an avid musician, writer, and fitness enthusiast and lives in Michigan City, Indiana with his wife and four children.  Check out all of the podcasts in the HCI Podcast Network!

What if you could predict who will buy, who will click—or even who might lie or die? In this episode, Ben Owden sits down with Dr. Eric Siegel founder of Machine Learning Week, a globally recognized expert on demystifying machine learning and author of two landmark books, Predictive Analytics and The AI Playbook, Dr. Siegel.They cut through the hype of “AI” to reveal how predictive analytics (the real engine behind so many “AI” claims) is transforming day-to-day business operations—from fraud detection and targeted marketing to life-saving medical breakthroughs. Dr. Siegel explains why machine learning doesn't grant magical crystal-ball power, yet still delivers massive value by accurately tipping the odds at scale. Together, they explore how this technology can help build a world that our kids—indeed, all of us—can thrive in, if we apply it ethically and responsibly.Whether you're a data scientist, a tech-savvy entrepreneur, or just curious about AI's practical impact, this conversation will recalibrate how you see machine learning. Discover why some projects succeed while others fizzle out, how real machine learning differs from inflated notions of “intelligent machines,” and why the secret lies in collaboration, probabilities, and concrete, operational goals—not grandiose futurism.Get a copy of The AI PlaybookImportant Links*Join Thrive in the Middle Today!*Book WhyLead to Train Your Teams*Explore Our ServicesSocial Media*Ben Owden's LinkedIn*Ben Owden's Twitter 

In this episode of the Tyler Tech Podcast, we explore how data is strengthening resilience in government operations, fostering transparency, and driving innovation in the public sector. With Open Data Day approaching, now is the perfect time to discuss how making data more accessible can empower communities, improve decision-making, and enhance public services.Justin Bruce, director of client services for Tyler's Data & Insights Division, shares his expertise on the role of open data in government. Drawing from his experience deploying open data solutions for the City of Jackson, Mississippi, Justin discusses how governments can leverage data to improve resident engagement, increase operational efficiency, and bolster resilience across multiple areas—including cybersecurity, disaster management, and economic development.Throughout the conversation, Justin highlights real-world examples of how public sector organizations are using data to improve transparency, enhance service delivery, and make data-driven decisions that benefit their communities. He also shares insights into the emerging trends shaping the future of government data, including artificial intelligence (AI), predictive analytics, and digital accessibility.Tune in to learn how public sector leaders can harness the power of data to build more resilient, responsive communities while ensuring security, accuracy, and public trust.This episode also highlights Tyler Connect 2025, our annual conference designed to bring public sector professionals together to empower, collaborate, and imagine. Join us in San Antonio, Texas, from May 11–14, 2025, for product training, networking, and inspiration to help drive your organization forward. Early registration is now open — visit tylertech.com/connect to secure your spot!Blog: Let's Empower, Collaborate, and Imagine at Connect 2025!And learn more about the topics discussed in this episode with these resources:Download: Building a Resilient GovernmentDownload: Digital Access and Accessibility in the Resident ExperienceDownload: Revolutionizing the Government Workforce With AIDownload: A Digital Guide to Modernizing the Resident ExperienceDownload: Digital Access and Accessibility in the Resident ExperienceVideo: See How Data is Connecting an Ohio CountyBlog: Excellence 2024: Data & Transparency SolutionsListen to other episodes of the podcast.Let us know what you think about the Tyler Tech Podcast in this survey!

Top healthcare leaders from HAP, Independent Health, Johns Hopkins Health Plans and Prealize Health explore how predictive analytics and artificial intelligence (AI) revolutionize risk management and care delivery. The discussion delves into real-world applications of AI-driven predictive analytics to enhance patient engagement, improve outcomes, and reduce costs. Learn how leading health plans use AI to identify high-risk populations earlier, optimize care pathways, and improve patient outcomes. If you're interested in the future of healthcare innovation, this is a must-listen! Key Takeaways: How health plans are leveraging AI to transition from segmentation to personalization The role of unified data lakes in driving insights and improving member experiences Real-world examples of AI in chronic disease management, risk stratification, and end-of-life care The power of AI-driven predictive models in enhancing underwriting accuracy How Generative AI is transforming customer service and operational efficiency Our expert panel includes: Bethany McAleer – Chief Actuary & Chief Analytics Officer, Johns Hopkins Health Plan Amin Serehali – SVP & Chief Data & Analytics Officer, Independent Health Mike Treash – SVP & COO, Health Alliance Plan Dean Noble-Tolla – Chief Product Analytics Officer, Prealize Health https://www.brightspotsinhealthcare.com/events/predictive-analytics-proactive-healthcare-leveraging-ai-to-transform-risk-management-and-care-management/ This episode is sponsored by Prealize Health Founded by two industry thought leaders from Stanford University and through continuous partnership with Stanford, Prealize is a leading provider of AI-driven predictive analytics and insights to health plans, specialty care management companies, healthcare technology companies, employers, and providers across the nation. Committed to transforming healthcare from reactive to proactive, reducing healthcare costs and enabling more people to live healthier lives, Prealize and its partners positively influence the health trajectory of millions of people. www.prealizehealth.com

Send me a messageSupply chains are under increasing pressure to reduce costs, improve service levels, and meet sustainability targets—but how can organisations balance all three? In this episode, I'm joined by Sunder Balakrishnan, Head of Supply Chain Analytics at LatentView Analytics, to discuss how data and AI are transforming supply chain decision-making.We explore:Why perfect data doesn't exist—and why that's not a barrier to actionHow AI can optimise supply chains for cost, service, and sustainability simultaneouslyReal-world applications of AI, from reducing wastewater emissions to improving on-shelf availabilityThe challenges of AI adoption, including data integration and change managementThe role of digital twins in supply chain simulation and planningOne key takeaway? Sustainability should be embedded into supply chain design from the outset, rather than treated as an afterthought. AI can enhance visibility, provide predictive insights, and help organisations make data-backed sustainability decisions—but only if businesses invest in the right data foundations and employee education.If you're looking to understand how AI and analytics can create smarter, more resilient, and sustainable supply chains, this episode is for you.#SupplyChain #Sustainability #AI #DigitalTwins #SupplyChainAnalytics #DataDrivenElevate your brand with the ‘Sustainable Supply Chain' podcast, the voice of supply chain sustainability.Last year, this podcast's episodes were downloaded over 113,000 times by senior supply chain executives around the world.Become a sponsor. Lead the conversation.Contact me for sponsorship opportunities and turn downloads into dialogues.Act today. Influence the future.Support the showPodcast supportersI'd like to sincerely thank this podcast's generous supporters: Lorcan Sheehan Olivier Brusle Alicia Farag Kieran Ognev And remember you too can Support the Podcast - it is really easy and hugely important as it will enable me to continue to create more excellent episodes like this one.Podcast Sponsorship Opportunities:If you/your organisation is interested in sponsoring this podcast - I have several options available. Let's talk!FinallyIf you have any comments/suggestions or questions for the podcast - feel free to just send me a direct message on LinkedIn, or send me a text message using this link.If you liked this show, please don't forget to rate and/or review it. It makes a big difference to help new people discover it. Thanks for listening.

In this episode we are looking at an area which impacts every business in the world. Unstructured data - that is, how we can start to squeeze insight from the piles of text, audio, video, and every other type of data that doesn't fit into a neat table.Carefully analysed, it can contain valuable insight, to be compared against other more traditional metrics such as sales figures, or economic results.Joining us to discuss is Gokul Sathiacama, VP of data storage for AI at Hewlett Packard Enterprise.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it. About this week's guest, Gokul Sathiacama: https://www.linkedin.com/in/gokuls/Sources cited in this week's episode:Statistics on global data generation: https://www.statista.com/statistics/871513/worldwide-data-created/Statistics on global IOT devices: https://paxtechnica.org/?page_id=738#:~:text=%E2%80%9COur%20IoT%20world%20is%20growing,billion%20by%202020.%E2%80%9D%20Intel.&text=Gartner.&text=Cisco.,-2011&text=%E2%80%9CGlobal%20M2M%20connections%20will%20increase,at%20the%20end%20of%202022.Global Web Index stats on smart devices: https://www.globalwebindex.net/

In this episode we are looking at an area which impacts every business in the world. Unstructured data - that is, how we can start to squeeze insight from the piles of text, audio, video, and every other type of data that doesn't fit into a neat table.Carefully analysed, it can contain valuable insight, to be compared against other more traditional metrics such as sales figures, or economic results.Joining us to discuss is Gokul Sathiacama, VP of data storage for AI at Hewlett Packard Enterprise.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it. About this week's guest, Gokul Sathiacama: https://www.linkedin.com/in/gokuls/Sources cited in this week's episode:Statistics on global data generation: https://www.statista.com/statistics/871513/worldwide-data-created/Statistics on global IOT devices: https://paxtechnica.org/?page_id=738#:~:text=%E2%80%9COur%20IoT%20world%20is%20growing,billion%20by%202020.%E2%80%9D%20Intel.&text=Gartner.&text=Cisco.,-2011&text=%E2%80%9CGlobal%20M2M%20connections%20will%20increase,at%20the%20end%20of%202022.Global Web Index stats on smart devices: https://www.globalwebindex.net/

In this episode we are looking at an area which impacts every business in the world. Unstructured data - that is, how we can start to squeeze insight from the piles of text, audio, video, and every other type of data that doesn't fit into a neat table.Carefully analysed, it can contain valuable insight, to be compared against other more traditional metrics such as sales figures, or economic results.Joining us to discuss is Gokul Sathiacama, VP of data storage for AI at Hewlett Packard Enterprise.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it. About this week's guest, Gokul Sathiacama: https://www.linkedin.com/in/gokuls/Sources cited in this week's episode:Statistics on global data generation: https://www.statista.com/statistics/871513/worldwide-data-created/Statistics on global IOT devices: https://paxtechnica.org/?page_id=738#:~:text=%E2%80%9COur%20IoT%20world%20is%20growing,billion%20by%202020.%E2%80%9D%20Intel.&text=Gartner.&text=Cisco.,-2011&text=%E2%80%9CGlobal%20M2M%20connections%20will%20increase,at%20the%20end%20of%202022.Global Web Index stats on smart devices: https://www.globalwebindex.net/

Highlights from this week's conversation include:Previewing Today's Topic (0:14Machine Learning Discussion (1:44)Conditions for Machine Learning Worthiness (6:59)Simplicity in Modeling (8:43)Predictive Analytics vs. Machine Learning (10:42)Optimization and Investment Problems (13:03)Practical vs. Theoretical Saturation (15:16)Building Relationships with Marketing Teams (19:52)Reporting Metrics and Attribution Models (22:49)Tracking Common Metrics (25:40)Understanding Profit Generation (27:46)ROI Calculation Challenges (29:49)AI in Customer Data Analysis (31:23)Execution Challenges in Marketing Automation (35:23)API Limitations in Marketing Tools (36:50)Optimizing Ads with AI (37:50)Challenges of Real-Time Data Integration (40:01)Final thoughts and takeaways (41:13)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Next in Media spoke with David Kostman, CEO of Teads (formerly Outbrain) about the company's plans to bring together performance advertising, web video and TV, and move beyond its reputation as haven for 'cheap' ads.  Kostman also talked about how publishers are preparing for more AI-driven search and content discovery, and whether brands are as invested as they should be in news and the open web.Takeaways:Outbrain & Teads: A Game-Changing Merger for the Open InternetThe Outbrain-Teads merger creates a $1.7 billion ad powerhouse, merging native performance and premium video advertising to serve brands across the entire marketing funnel.The Power of Controlled Real Estate & First-Party DataUnlike traditional ad networks, Teeds secures exclusive publisher inventory, ensuring premium ad placement without competing in an auction model.AI & The Future of Digital Advertising OptimizationTeeds is integrating AI-driven predictive analytics for automated media buying and ad optimization, enhancing real-time targeting.CTV Advertising & The Evolution of Small Business ReachTeeds is making a strong push into Connected TV (CTV), with exclusive placements on OEM home screens like LG and Hisense.AI, Content Discovery & The Fight for Quality JournalismWith the rise of AI-generated content, premium publishers are at risk. Teeds is doubling down on supporting quality journalism, ensuring trusted news sites get premium monetization opportunities.

As the financial industry continues to evolve, it's important to stay ahead of emerging risks and trends. On this episode of FINRA Unscripted, the leaders of FINRA's new Strategic Intelligence and Analytics (StratIntel) team discuss how they are working to identify and analyze these industry developments.On this episode, we sit down with the leaders of the StratIntel team: Senior Vice President of Data and Analytics for Member Supervision Jim Reese, and his two Vice Presidents, Brita Bayatmakou and Clint Johnson. The three share insights on how this new team is evolving FINRA's approach to intelligence gathering and risk monitoring, and the innovative ways they are using data and analytics to support FINRA's mission of investor protection and market integrity.Resources mentioned in this episode:2025 Regulatory Oversight Report3110. SupervisionEpisode 168: Investing Wisely in 2025: Avoiding Scams and Achieving Your Financial GoalsEpisode 169: Unpacking FINRA's 2025 Regulatory Oversight Report Find us: X / YouTube /LinkedIn / Facebook / E-mail

In this special compilation episode of AI and the Future of Work, we celebrate Data Privacy Day by revisiting powerful conversations with industry leaders tackling some of today's biggest AI challenges. From deepfake detection to ethical AI, this episode highlights the critical role of privacy, trust, and security in the future of AI.Join us as we revisit insights from top experts in AI:

In this episode of the B2B Marketing Excellence & AI Podcast, host Donna Peterson introduces her AI assistant, Izzy, powered by ChatGPT. Together, they explore how AI tools can enhance B2B marketing by improving efficiency, streamlining content creation, and personalizing marketing strategies for industrial brands.Key Takeaways for Business Leaders:Boost Productivity: AI-powered assistants automate routine tasks, allowing marketing teams to focus on high-value strategic work.Enhance Personalization: AI enables tailored marketing messages that resonate with target audiences, improving engagement and conversions.Improve Content Consistency: Maintain a strong and cohesive brand voice across multiple platforms while efficiently repurposing content.Optimize Lead Nurturing: AI-driven insights help companies better understand their audience, refine messaging, and accelerate the sales process.Stay Competitive: Businesses that integrate AI into their marketing strategies gain a significant advantage in efficiency, targeting, and impact.At B2B Marketing Excellence & AI, the focus is on helping companies succeed by providing practical insights and actionable strategies. This episode isn't about selling AI—it's about demystifying it and showing how it can be a valuable tool for marketing teams looking to grow.Episode Timestamps00:33 - Meet Izzy: The AI Assistant and Its Role in Marketing01:29 - How AI Enhances Content Creation and Thought Leadership02:23 - AI vs. Traditional Search Methods: Smarter Research & Insights03:11 - Using AI for Hyper-Personalized Marketing Campaigns04:50 - Optimizing Lead Nurturing and Customer Journeys with AI05:31 - Repurposing & Transforming Content Across Platforms08:37 - AI Trends & Best Practices in Industrial Marketing09:03 - Automating Routine Tasks to Improve Efficiency10:41 - Evaluating Business Growth Strategies Using AI15:57 - The Future of AI in Sales & Marketing Next Episode Preview: Donna will break down AI-powered email marketing strategies that drive higher engagement and stronger connections with prospects.Listen Now to Learn How AI Can Elevate Your Marketing Strategy.

Thorsten Waloschek is CEO of NeoPredics AG, a Swiss digital health startup revolutionizing neonatal and maternal care through predictive analytics. Its first product, BiliPredics, predicts neonatal jaundice progression and is already available in both European and U.S. markets. By analyzing biomarker data, BiliPredics can forecast a baby's bilirubin levels for up to two and a half days after hospital discharge, enabling healthcare providers to make more informed decisions about when to send newborns home.  "The very last thing you want to do is rush back to the hospital within two days,” Thorsten explains. Such returns disrupt crucial parent-child bonding and lactation and can cause unnecessary stress for new families. Hospitals can provide preventive treatment by identifying at-risk infants before discharge, ensuring a smoother transition to home life.  Building upon BiliPredics' success, NeoPredics is currently in development of a similar solution for preeclampsia, a hypertensive disorder that affects 2% to 10% of pregnancies globally, according to the World Health Organization (WHO). The exact numbers vary according to geographic region, but on average, the WHO attributes 70,000 maternal deaths and half a million fetal deaths to the condition annually. (Khan B, et al. Preeclampsia Incidence and Its Maternal and Neonatal Outcomes With Associated Risk Factors. Cureus. 2022 Nov 6;14(11). PMCID: PMC9723483, PMID: 36483900.) NeoPredics' technology aims to identify high-risk pregnancies as early as 12 weeks into gestation, prompting proactive medical intervention.  In this episode, Thorsten describes the whirlwind process of building a global healthcare business, particularly when navigating regulatory environments and cultural nuances across different markets.  Strategic Global Expansion  Founded in 2020 in Switzerland, NeoPredics took an early international approach, establishing their U.S. subsidiary just one year later. This quick expansion into the American market wasn't merely opportunistic; it was strategic:  Why the US? Because it's still the single, unified, biggest medical device market in the world. We entered the United States and then went back into Europe, which was the second step because of regulatory challenges. But in the end, it's global. We want to help every newborn baby, young family, and pregnant woman. It's not only about healthcare disparities and racial discrimination; it happens everywhere in the world. Pregnant women and newborn babies are always the least taken care of by the population, no matter where.    In addition to strategic market selection, Thorsten emphasizes the importance of local partnerships, especially for startups with limited resources. "I would never try it on my own," he says about entering new markets. "I would always look for a partner that helps us as a company to enter that market."  Local partnerships will help with cultural Integration, which is integral to global business success. Thorsten describes how different regulatory approaches reflect more profound cultural distinctions; for instance, the contrast between European "black and white" regulatory environments and the more negotiation-friendly American system reflects how each culture conducts business. Thorsten provides additional insight into managing cross-cultural communication, including translation. His approach combines several key elements:  Local language integration. Instead of solely relying on interpreters, NeoPredics seeks partners or consultants who speak the local language and understand the medical industry. This approach ensures both linguistic accuracy and cultural relevance.  Layered translation process. For technical documentation, the company employs a two-step process: First, professional translation services provide a grammatically correct translation, and then local, native-speaking subject matter experts review it to refine the cultural nuances.  Cultural context. For example, Thorsten points out that direct-to-consumer medical marketing, common in the U.S., remains prohibited in Germany, necessitating different marketing approaches in each market.  Navigating Regulatory Challenges  Thorsten explains that regulatory frameworks worldwide were formulated primarily around hardware-based medical devices, creating unique challenges for software-based solutions like predictive analytics. "And suddenly, not suddenly, but for the last 10, 15, 20 years, more and more software is coming," he adds. This disconnect has led to interesting developments in market entry strategies. While Europe was traditionally considered an easier first market for medical devices, that dynamic has shifted, with many companies now finding the FDA process more straightforward for software-based solutions.  Thorsten's best advice is to "Pick a country where you want to get your foot in, where you have your anchor point, and go from there. Don't ‘go into Europe'. That doesn't mean anything. Go into one country in Europe." Listen to the full episode to learn more about balancing technical innovation, strategic market selection, and cross-cultural communication. 

In this episode, we dive into the power of data in real estate with Marc Rutzen, CEO and Co-Founder of Hello Data. From his early days in real estate brokerage to building and selling a multifamily analytics startup to Walker & Dunlop, Marc shares how data, AI, and predictive analytics are transforming how investors underwrite, analyze, and scale multifamily properties.Want to know how AI can help you underwrite deals faster, optimize rents, and make more informed investment decisions? This conversation covers everything from revenue management lawsuits to the future of data-driven real estate investing.What You'll Learn in This Episode:How AI and machine learning are transforming real estate underwritingThe biggest challenges in real estate data accuracy and how to fix themThe impact of the RealPage revenue management lawsuit on multifamilyHow Marc built and sold his first startup, Enodo, to Walker & DunlopThe power of data in investment decisions and predicting market trendsWhat's next for Hello Data and how it's helping investors gain an edgeGuest InformationMarc Rutzen – CEO & Co-Founder, Hello DataWebsite: Hello DataHost InformationJake & Gino – Multifamily Investing ExpertsWebsite: Jake & GinoInstagram: @jakeandginoDon't forget to like, comment, and subscribe for more real estate insights. We're here to help create multifamily entrepreneurs... Here's how: Brand New? Start Here: https://jakeandgino.mykajabi.com/free-wheelbarrowprofits Want To Get Into Multifamily Real Estate Or Scale Your Current Portfolio Faster? Apply to join our PREMIER MULTIFAMILY INVESTING COMMUNITY & MENTORSHIP PROGRAM. (*Note: Our community is not for beginner investors)

In this enlightening episode of 'Rethink Real Estate,' host Ben Brady is joined by marketing guru Chris Cochran to explore the cutting-edge strategy of predictive marketing in real estate. Discover how they harness the power of past data to forecast business growth and refine marketing strategies for the future. Learn about the significant role of email and social media marketing in generating leads, with a detailed breakdown of their contributions to business success. Ben and Chris delve into their method of reverse-engineering success, focusing on the importance of strategic planning to achieve ambitious growth targets. They discuss the critical role of diversifying marketing efforts to adapt to dynamic market conditions and the potential pitfalls of over-reliance on single channels. Timestamps & Key Topics: [00:00:00] - Introduction to Predictive Marketing in Real Estate [00:01:23] - The Role of Email and Social Media in Business Growth [00:02:09] - Reverse Engineering Success from Past Data [00:03:28] - Diversifying Marketing Efforts to Enhance Business Resilience [00:04:36] - The Importance of Strategic Planning in Real Estate [00:06:26] - Predictive Analytics for Real Estate Professionals [00:09:57] - Planning for Market Dynamics and Business Scalability

Welcome to our Special Mix! This episode brings together the latest strategies in customer loyalty, hidden revenue optimization, marketing, analytics, and more. If you're an e-commerce brand looking to strengthen your competitive edge, these expert interviews will guide you toward success.

Ross Piermarini is the co-founder of symmetRE, a Chicago-based proptech firm specializing in automating data aggregation and reporting for commercial real estate investors. Prior to founding symmetRE, Ross worked in the Leveraged Finance group at BMO Capital Markets, focusing on real estate clients. His firsthand experience with the challenges of manual data aggregation and reporting in the real estate sector motivated him to develop solutions that streamline these processes. Under Ross's leadership, symmetRE has launched an AI-enabled platform designed to eliminate the time-consuming aspects of data collection and analysis, allowing real estate professionals to concentrate on optimizing asset performance. Ross also shared his insights into the integration of AI in commercial real estate, and he discusses the necessity of adopting advanced technologies to enhance efficiency and decision-making in the sector.(01:13) - Ross's & symmetrRE's origin(04:42) - Challenges in Real Estate data management(08:06) Symmetry's solutions & client success(13:54) - Feature | Berkadia's BeEngaged - Connect with the team: Ecosystem of founders, industry professionals, and capital providers dedicated to redefining the Commercial Real Estate space.(17:45) - symmetry's long-term vision(22:48) - Marketing vs. product delivery in Proptech(26:07) - Feature | Blueprint - The Future of Real Estate 2025(26:55) - The Role of AI in Real Estate(29:20) - Collaboration Superpower: Marc Benioff (Salesforce CEO)

Send us a textSteven Pope breaks down everything Amazon sellers need to know about PPC, from optimizing clickthrough rates (CTR) to debunking keyword myths and managing ad budgets. Learn actionable strategies to improve your ads, reduce ACoS, and scale your brand profitably.This video dives into real-world examples, campaign insights, and advanced techniques to help sellers make smarter advertising decisions.Think you've nailed PPC? Prove it with our FREE guide – the strategies you didn't know you needed.Download here: https://bit.ly/4gwtOzi#AmazonPPC #EcommerceTips #amazonadvertising Watch these next:How to Better Optimize Your Amazon PPC Budget https://www.youtube.com/watch?v=W-DONOA0N8g&list=PLDkvNlz8yl_a1PRDJWRoR4yIM8K5Ft569&index=1Top 10 Amazon PPC Tips https://www.youtube.com/watch?v=WFQDRZlFEGU&list=PLDkvNlz8yl_a_tbXXQwrYz29cKKyvVbLu------------------------------------------------------Enhance your clickthrough rates with our IMG hack http://bit.ly/3ZuylezTalk to an expert and transform your Amazon strategy http://bit.ly/3B3fgrCSimplify your Amazon operations with our proven SOPs http://bit.ly/3Z9h1LJ00:00 - What to Focus On in PPC00:06 - Why People Are Key to Success01:12 - Lessons on Static Growth and Personal Development03:00 - What Makes a Good Life for Steven Pope03:53 - Clickthrough Rate: A Hidden PPC Metric05:09 - Main Image Optimization Tips07:12 - Negating Keywords: Do's and Don'ts10:27 - Managing Keywords Across Campaigns13:18 - Why Testing Campaigns Separately Works15:50 - Using Broad Match for Organic Rankings20:53 - Troubleshooting Low-Impression Keywords26:00 - Predictive Analytics and Amazon Trends30:00 - Sponsored Products vs. Organic Positioning33:07 - The Future of Amazon Advertising-----------------------------------------------------------Follow us:LinkedIn: https://www.linkedin.com/company/28605816/Instagram: https://www.instagram.com/stevenpopemag/Pinterest: https://www.pinterest.com/myamazonguys/Twitter: https://twitter.com/myamazonguySubscribe to the My Amazon Guy podcast: https://podcast.myamazonguy.comApple Podcast: https://podcasts.apple.com/us/podcast/my-amazon-guy/id1501974229Spotify: https://open.spotify.com/show/4A5ASHGGfr6s4wWNQIqyVwSupport the show

Dr. Prakash Narayan is a distinguished biotech executive with over 20 years of experience in leading IND- and BLA-enabling programs from concept through clinical trials for heart, lung, kidney, and liver indications. As a founding member of a startup biotech that became a publicly traded company, Dr. Narayan has demonstrated exceptional leadership skills and a proven track record in nonclinical and translational R&D, attracting approximately $30 million in non-dilutive funding as a Principal Investigator from various organizations including NIH, NSF, DoD, and BARDA 00:00 Introduction to the Life Science Success Podcast 00:37 Sponsor Message: D3 Digital Media Marketing 01:10 Guest Introduction: Dr. Prakash Narayan 01:51 Journey from Academia to Biotech Executive 04:34 Growing a Startup into a Publicly Traded Company 06:49 Drug Development Process: From Discovery to FDA Filings 12:53 Challenges and Future of Cell-Based Therapies 16:10 Predictive Analytics in Biomedical Science 19:10 Adapting Approaches Across Disease Areas 22:56 Precision Medicine in Clinical Trials 24:40 Understanding Fatty Liver Disease 25:00 Precision Medicine: A Tailored Approach 25:25 Repurposing Drugs for Kidney Disease 27:10 The Role of Biobanks and Electronic Health Records 28:26 Non-Dilutive Funding: Pros and Cons 32:56 Exploring Transcriptomics and Functionomics 36:55 The Impact of Technology and AI in Medicine 40:53 Inspiration and Concerns for the Future 47:42 Final Thoughts and Advice for Entrepreneurs  

In today's episode, you will learn a series of vocabulary words that are connected to a specific topic. This lesson will help you improve your ability to speak English fluently about a specific topic. It will also help you feel more confident in your English abilities.5 Vocabulary WordsPersonal Assistant (noun): An AI-driven tool or application designed to help manage tasks, schedule appointments, and provide information, often through voice commands. Example Sentences: Virtual personal assistants like Siri and Alexa help users with tasks such as setting reminders and answering questions.She relies on her personal assistant app to organize her daily schedule and send reminders for important events.The personal assistant's voice recognition capabilities make it easy to interact with and manage various tasks hands-free.Predictive Analytics (noun): The use of statistical algorithms and machine learning techniques to analyze historical data and predict future outcomes or trends.Example Sentences: Predictive analytics helps businesses forecast sales and optimize inventory management based on past data.The app uses predictive analytics to recommend products that you are likely to buy based on your purchase history.By employing predictive analytics, the healthcare system can anticipate patient needs and improve care delivery.Natural Language Processing (NLP) (noun): A field of AI that focuses on the interaction between computers and human language, enabling machines to understand, interpret, and respond to text or speech.Example Sentences: Natural Language Processing is used in translation services to convert text from one language to another.The voice-activated assistant relies on NLP to understand and respond to user commands effectively.Advances in NLP have improved the accuracy of sentiment analysis in customer feedback and social media.Facial Recognition (noun): A biometric technology that uses AI to identify or verify individuals by analyzing facial features and patterns.Example Sentences: Facial recognition technology is commonly used in smartphones to provide secure and convenient access to devices.The security system employs facial recognition to monitor and manage access to restricted areas.Facial recognition can enhance customer service by personalizing interactions based on recognized individuals.Robotic Process Automation (RPA) (noun): The use of AI and software robots to automate repetitive, rule-based tasks typically performed by humans in business processes. Example Sentences: Robotic Process Automation has transformed financial services by automating tasks like data entry and processing transactions.The company implemented RPA to streamline administrative tasks, reducing the time and effort required for manual work.RPA tools can handle routine tasks efficiently, allowing employees to focus on more strategic and creative activities.A Paragraph using the 5 vocabulary wordsArtificial intelligence has seamlessly integrated into our daily lives, transforming how we interact with technology. From personal assistants like Siri and Alexa facilitating our routines to facial recognition unlocking smartphones, AI is pervasive. Behind the scenes, robotic process automation streamlines tasks, while predictive analytics powers personalized recommendations on everything from movies to shopping. Natural language processing

Stephen Solka, CTO and co-founder of Standd.io, joins Elixir Wizards Owen and Charles to share the journey of building an AI-native deal intelligence and due diligence platform. Designed to streamline document analysis and text generation for venture capital firms, Standd.io leverages large language models and AI tools to address key customer pain points in document workflows. Stephen explains how Elixir and Phoenix LiveView enabled rapid UI iteration and seamless integration between the front-end and back-end. The conversation also explores the human side of startup life. Stephen reflects on balancing tech debt with customer demands, the value of accelerators in building networks and securing funding, and the challenges of pricing in early-stage startups. He emphasizes the importance of validating ideas with potential customers and learning from the hurdles of growing a business. Tune in for insights on leveraging AI in Elixir, solving real-world problems, and navigating the journey from concept to company. Topics discussed in this episode: The journey from self-taught programmer to CTO The perks of Phoenix LiveView for rapid UI development Integrating front-end and back-end technologies AI tools for code generation How early adopters balance functionality with product polish Validating ideas and understanding customer needs The impact of accelerators on networking and fundraising Approaches to managing pricing strategies for startups Balancing technical debt with feature development The role of telemetry and error reporting in product development Creating collaborative and supportive tech communities Educating users on AI's capabilities and limitations The broader implications of AI tools across industries Links Mentioned Contact Stephen & Julie at Standd: founders@standd.io https://www.standd.io/ https://www.digitalocean.com/community/tutorials/gangs-of-four-gof-design-patterns https://www.thriftbooks.com/w/code-completesteve-mcconnell/248753/item/15057346/ https://aws.amazon.com/sagemaker/ https://www.anthropic.com/ https://getoban.pro/ https://kubernetes.io/ https://www.apollographql.com/ https://aws.amazon.com/startups/accelerators https://accelerate.techstars.com/ https://aider.chat/ https://github.com/Aider-AI/aider https://neovim.io/ https://ui.shadcn.com/ https://tailwindui.com/ https://www.ycombinator.com/ https://www.thriftbooks.com/w/close-to-the-machine-technophilia-and-its-discontentsellen-ullman/392556 Special Guest: Stephen Solka.

Adopting AI thoughtfully is key to balancing innovation with quality and maintaining that human touch customers value. AI can streamline tasks and personalize customer interactions, but over-reliance can risk making engagements feel impersonal. The most successful approaches often blend AI with human insight, where AI handles repetitive tasks or data analysis, freeing up human team members to focus on creativity, relationship-building, and nuanced decision-making.  https://www.youtube.com/watch?v=-cQso7HsPlI Courtney Baker is the CMO of Knownwell, a company that provides AI-powered intelligence solutions for professional service firms. She is also the host of the AI Knowhow podcast, where she explores the deployment of AI in business. Courtney has led the transformation of a personality-driven brand into a product-led one, and now she is focused on helping organizations leverage AI to elevate their customer relationships and operational efficiency. Today, Courtney discusses the exciting potential of AI to transform businesses, particularly in the professional services industry. Stay tuned! Resources Knownwell: AI Platform Company for Client Intelligence. Spot At-Risk Clients Before It's Too Late. Courtney Baker on LinkedIn AI Knowhow Podcast on Apple Podcasts

Kailin Noivo's guest this time on Ecommerce Toolbox: Expert Perspectives is Meenakshi Lala, CEO of UrbanStems. Drawing on her two decades in fashion retail, Meenakshi explores her pivot to the floral industry, explaining how her experience helped her drive the customer-focused ecommerce process that UrbanStems wanted to employ. The pair delve into all the challenges that come with stocking and delivering a perishable product sourced from 11 countries across 48 U.S. states. Innovation and AI is relevant to all industries, and for Meenakshi, it has been a gamechanger in how they deal with customers and maintain dynamic stock levels. This is the company's key instrument in avoiding wastage and keeping profit margins high. Join the conversation now to learn more.

Send me a messageIn this episode of the Sustainable Supply Chain podcast, I sit down with Ganesh Gandhieswaran, Co-Founder and CEO of ConverSight, to dive into how data and AI are transforming sustainable supply chains. Ganesh's extensive background in data analytics for manufacturing and supply chains sets the stage as we discuss how AI and data integration can offer deep insights for companies aiming to meet sustainability targets.Ganesh explains how today's data-rich environment provides new opportunities for companies to make informed decisions about carbon emissions, resource usage, and overall environmental impact. Yet, he's quick to highlight the challenges – from integrating data across global suppliers to ensuring data quality and consistency. With AI and predictive analytics, Ganesh demonstrates how companies can not only monitor but actively manage sustainability efforts, predicting issues before they arise and adjusting strategies on the go.We also touch on the importance of data visualisation tools in making sense of complex sustainability metrics, enabling leaders to see patterns and act quickly. From predictive maintenance to the transition toward a circular economy, Ganesh's insights show that technology can genuinely underpin a greener supply chain – but only if organisations take a structured, measurable approach. It's an episode filled with actionable takeaways for any company looking to leverage data for a sustainable future.Have a listen, and let me know your thoughts on LinkedIn or Twitter (@tomraftery).Elevate your brand with the ‘Sustainable Supply Chain' podcast, the voice of supply chain sustainability.Last year, this podcast's episodes were downloaded over 113,000 times by senior supply chain executives around the world.Become a sponsor. Lead the conversation.Contact me for sponsorship opportunities and turn downloads into dialogues.Act today. Influence the future.Support the showPodcast supportersI'd like to sincerely thank this podcast's generous supporters: Lorcan Sheehan Olivier Brusle Alicia Farag Kieran Ognev And remember you too can Support the Podcast - it is really easy and hugely important as it will enable me to continue to create more excellent episodes like this one.Podcast Sponsorship Opportunities:If you/your organisation is interested in sponsoring this podcast - I have several options available. Let's talk!FinallyIf you have any comments/suggestions or questions for the podcast - feel free to just send me a direct message on LinkedIn, or send me a text message using this link.If you liked this show, please don't forget to rate and/or review it. It makes a big difference to help new people discover it. Thanks for listening.