Podcasts about Data management

In this episode, we dive into how to fix your e-commerce data and choose the right tech stack for future growth. Mark Rubin, Founder and President of Kasama, shares how brands can stop wasting spend from bad data and pick the right platforms amidst the ongoing platform wars. He also reveals what is real with agentic AI today, how to avoid failing replatform projects, and the exact steps to ensure your brand is set up to win. Topics discussed in this episode:  How bad data leads to wasted e-commerce spend. What breaks when collecting and using online data. Why data gaps ruin daily brand decision-making. What happens when merchants ignore platform data gaps. Why picking the right platform is hard today. Where brands go wrong when choosing tech platforms. How platform wars confuse modern e-commerce merchants. What choosing the wrong platform costs your brand. Why so many brand replatform projects fail today. What agentic AI actually means for digital retail. Links & ResourcesWebsite: https://www.kasamadigital.com/LinkedIn: https://www.linkedin.com/in/markjrubin/LinkedIn: https://www.linkedin.com/company/kasama-digital Get access to more free resources by visiting the show notes at https://tinyurl.com/tkcv8uueI'd love your feedback. Tap the the link to send me a text. ______________________________________________________LOVE THE SHOW? HERE ARE THE NEXT STEPS!Follow the podcast to get every bonus episode. Tap follow now and don't miss out!   Rate & Review: Help others discover the show by rating the show on Apple Podcasts at https://tinyurl.com/ecb-apple-podcasts   Join our Free Newsletter: https://newsletter.ecommercecoffeebreak.com/   Support The Show On Patreon: https://www.patreon.com/EcommerceCoffeeBreak   Partner with us: https://ecommercecoffeebreak.com/partner-with-us/

What does it take to build the data systems that sit behind your genetic evaluations?This week on the podcast, Ferg catches up with Dan Garrick from Helical. Dan grew up on a sheep, beef and venison farm in the Manawatu before moving to the US at 13, where he went on to complete a PhD in aerospace engineering at Iowa State University. He's the son of Professor Dorian Garrick, one of New Zealand's most respected animal breeding geneticists, and his grandfather was one of the world's leading experts on sharks, making Dan a third-generation PhD.Dan explains how the same maths used to model fluid dynamics around rockets is used to generate breeding values, and how he ended up joining the family business in 2017 to help roll out some of the first production single step evaluations in the US for American Hereford and IGS. That work quickly revealed a major bottleneck in managing the genomic data flowing in from DNA testing labs. That's where Helical was born.Ferg and Dan talk through how Helical now serves breed societies, genetics companies, universities and labs across beef, dairy, sheep, horses, dogs, aquaculture and forestry. They also look ahead at where things are going. From decision support tools and AI in commercial herds, to the potential for wearable devices like virtual fencing collars to generate entirely new breeding values nobody has thought of yet - both Dan and Ferg agree the future is bright for Agriculture. Head Shepherd is brought to you by neXtgen Agri International Limited. We help livestock farmers get the most out of the genetics they farm with. Get in touch with us if you would like to hear more about how we can help you do what you do best: info@nextgenagri.com.Thanks to our sponsors at MSD Animal Health and Allflex, Heiniger Australia and New Zealand, and ProWay Livestock Equipment. Please consider them when making product choices, as they are instrumental in enabling us to bring you this podcast each week.Check out the MSD range HERECheck out Allflex products HERECheck out Heiniger's product range HERECheck out ProWay's product range HERE

In this week's podcast, we look at the Data (Use and Access) Act 2025 (DUAA). This is essential knowledge for all qualified surveyors and RICS APC and AssocRICS candidates (relating to the Data Management mandatory competency).

In this episode of Recycled Content, host Kara Pochiro sits down with Charles David Mathieu-Poulin, Lead, Office of the CEO, Strategic Projects and Governmental Affairs at Éco Entreprises Québec and Baltej Gill, VP of Data Management and Program Delivery at Circular Materials. As winners of the 2026 APR Recycling Leadership Awards for Outstanding Leadership, they discuss how Canada's producer responsibility organizations (PROs) are working together to develop national eco-design guidelines, that are aligned with the APR Design® Guide—helping producers navigate recyclability, reduce fragmentation, and improve recycling outcomes across the country.

In this episode of Insurance Town, Kevin Deutsch joins the show to unpack what's really happening in the health insurance space right now. From the growing role of AI to the emergence of ICHRA as a disruptive model, Kevin brings a practical perspective on where the industry is headed and what it means for agents, brokers, and agencies.The conversation digs into how technology is reshaping distribution, why data management is becoming a competitive advantage, and how personalization is moving from buzzword to reality. If you've ever felt like health insurance is overly complex, this episode helps simplify what matters and where to focus.Key Takeaways: Health insurance remains overly complex, but simplification is coming through better technology and data use  AI is only as effective as the data behind it, making data organization critical for agencies  ICHRA is creating new opportunities and challenges for brokers in the benefits space  Commission structures and distribution models are continuing to evolve  Personalization is not a future idea, it is actively shaping how coverage is designed and delivered today  Agencies that understand and adapt to these shifts will be better positioned for long-term growth  00:00 – Introduction 09:02 – Changes in Health Insurance Distribution 12:05 – The Role of Brokers in Health Insurance 15:06 – The Shift in Commission Structures 18:10 – The Impact of ICRA on Health Insurance 24:10 – Future of P&C Agencies in Health Insurance 29:57 – Understanding ICRA and Its Value 32:29 – Adoption of AI in Health Insurance 38:05 – Data Management for AI Utilization 40:26 – Trends in Personalization of Health Insurance 43:21 – Preparing for Personalized Benefits 44:42 – The Rise of Provider Sponsored Health Plans  48:59 – Softheon Mission and ServicesSponsorsCanopy ConnectMav1Fort AI Goli 

Are Hegdal est un Expert Data Management. Il travaille chez Informatica depuis 5 ans et est dans la data depuis presque 20 ans. Informatica est un leader mondial du secteur du Data Management. Ils ont été rachetés 8 milliards de dollars par Salesforce en 2025.On aborde :

Data management sounds technical. But at its heart, it's about trust. In this episode of Chats You Didn't Know You Needed, we step into the world behind the numbers, a space many people hear about but few truly understand. Host Stefan Eng is joined by Öystein Graasvoll, who leads Data Management at SEB, and Sara Kopelman, former trainee in the Data Management team. Together, they unpack what Data Management really is, why it matters in a large bank, and what a career in this field can look like early on. They talk about responsibility, decision‑making, and the human impact behind every data point. They also share honest reflections on learning, culture, and building trust from day one. Expect clear insights on: What Data Management actually means in practice Why trusted data is critical for every decision Skills that matter when starting out in data roles The reality of being a trainee in Data Management How to define success beyond KPIs Whether you're curious about data, exploring career paths, or starting out in a large organisation, this episode offers a grounded look at a field that shapes far more than most people realise, and the chats you didn't know you needed.

Industrial Talk is talking to Tony Paine, Co-Founder/CEO at HighByte about "Data insights solutions for your operational technology stack". Scott Mackenzie hosts the Industrial Talk Podcast, celebrating industry professionals and discussing innovations. In this episode, he interviews Tony Paine, co-founder and CEO of HighByte, a company that specializes in data management and intelligence. Tony shares his 30-year experience in industrial automation, highlighting HighByte's role in standardizing and structuring data across enterprises. He emphasizes the importance of AI in preparing data for consumption and the need for a collaborative approach between IT and OT teams. Tony also discusses HighByte's implementation strategy, focusing on small, proof-of-value projects to demonstrate value and ease subsequent implementations. The conversation underscores the critical role of data in driving efficiency and resilience in manufacturing. Outline Introduction and Welcome to Industrial Talk Podcast Scott welcomes listeners to the Industrial Talk Podcast, emphasizing the importance of industry professionals.Scott praises industry professionals for their boldness, bravery, and problem-solving skills.Scott introduces Tony Paine, the guest of the episode, and sets the topic of the conversation: data. Importance of Data and Technology in Industry Scott discusses the significance of data and the need to normalize and bring real insights from it.Scott emphasizes the role of technology in pushing boundaries and the importance of perseverance.Scott promotes the Industrial Talk Podcast, highlighting its extensive coverage of industry topics.Scott stresses the human element in industry success, noting that AI helps humans deliver better insights and solutions. Challenges in Industry and the Role of Young Leaders Scott addresses the challenge of finding and training new industry professionals.Scott uses SpaceX as an example of youthful energy and innovative solutions.Scott emphasizes the need for industry leaders to tell their stories and inspire the next generation.Scott offers to help organizations communicate and inspire their employees and the industry. Introduction of Tony Paine and His Background Scott introduces Tony Paine, co-founder and CEO of HighByte, and provides a brief background on HighByte.Tony Paine shares his experience in the industrial automation space for 30 years and his early interest in computers and software.Tony Paine discusses his time at Kepware, focusing on data collection and making raw data available to various applications.Tony Paine explains the evolution of HighByte, emphasizing the addition of intelligence and context to data. HighByte's Role in Data Management and AI Impact Tony Paine explains the founding of HighByte in August 2018 and its focus on managing and providing insights from data.Tony Paine highlights the role of AI in driving the need for prepping and making data available for consumption.Tony discusses the challenges of managing data speed and the importance of standardizing data across multiple sites.Tony emphasizes the need for a platform like HighByte to tie into existing technologies and make them work together seamlessly. HighByte's Implementation Strategy and Change Management Tony outlines HighByte's implementation strategy, starting with a small use case to prove value.Tony explains the importance of a platform like HighByte in tying into existing technologies and making them work as a whole.Tony discusses the role of change management and the integration of HighByte with existing DevOps tools.Tony Paine highlights the importance of executive support and the role of AI in driving data usability. Handling Questionable Data and Reporting Tony explains the concept of data pipelines in HighByte, which transforms raw data into usable data.Tony discusses the use of AI agents to identify and report abnormal data patterns.Tony emphasizes the importance of providing visualizations in the platform to see data flow and diagnose issues.Tony explains the flexibility of HighByte in handling different data assets and normalizing them for enterprise-wide use. Overcoming Market Roadblocks and Final Thoughts Tony Paine identifies cultural resistance and existing infrastructure as common roadblocks in implementing HighByte.Tony explains how HighByte extends the Purdue model to move data effectively between different layers without impacting existing systems.Tony emphasizes the importance of adapting existing systems without disrupting their functionality.Scott concludes the conversation by encouraging listeners to connect with Tony Paine and HighByte for more information and solutions. If interested in being on the Industrial Talk show, simply contact us and let's have a quick conversation. Finally, get your exclusive free access to the Industrial Academy and a series on “Why You Need To Podcast” for Greater Success in 2026. All links designed for keeping you current in this rapidly changing Industrial Market. Learn! Grow! Enjoy! TONY PAINE'S CONTACT INFORMATION: Personal LinkedIn: https://www.linkedin.com/in/tonypaine/ Company LinkedIn: https://www.linkedin.com/company/highbyte/ Company Website: https://www.highbyte.com/ PODCAST VIDEO: https://youtu.be/LlwQce-aE6c THE STRATEGIC REASON "WHY YOU NEED TO PODCAST": OTHER GREAT INDUSTRIAL RESOURCES: NEOM: https://www.neom.com/en-us Hexagon: https://hexagon.com/ Arduino: https://www.arduino.cc/ Fictiv: https://www.fictiv.com/ Hitachi Vantara: https://www.hitachivantara.com/en-us/home.html Industrial Marketing Solutions:  https://industrialtalk.com/industrial-marketing/ Industrial Academy: https://industrialtalk.com/industrial-academy/ Industrial Dojo: https://industrialtalk.com/industrial_dojo/ We the 15: https://www.wethe15.org/ YOUR INDUSTRIAL DIGITAL TOOLBOX: LifterLMS: Get One Month Free for $1 – https://lifterlms.com/ Active Campaign: Active Campaign Link Social Jukebox: https://www.socialjukebox.com/ Industrial Academy (One Month Free Access And One Free License For Future Industrial Leader): Business Beatitude the Book Do you desire a more joy-filled, deeply-enduring sense of accomplishment and success? 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„Eins wollen wir nicht: Dass es am Ende heißt, weil die KI falsch beraten hat, sind vielleicht 10 % der Kundengelder weg – und die sind unwiederbringlich verloren.“

Radio Free 501c brought to you by Rogue Tulips Consulting and USAE News!Episode 324: Data Management and GovernanceHost: Cecilia Sepp, CAE, ACNP, LPEC, Principal, Rogue Tulips Consulting Guests: Daniel Elacqua, Chief Executive Officer, Strategico ConsultantsGwen Garrison, Data Strategist, High Sierra InsightsI had so much fun talking data management with Daniel and Gwen! They shared interesting insights on data quality, the difference between operational and strategic data, the "Golden Record" (also called "the record of truth"), data definitions, data fragments, data maturity, and "skinny files." As Gwen says, "stay curious" and you will have fun managing your data too! What questions do you have about data and what it means today? Share a comment! Find it on our podcast page: www.roguetulips.com/podcast #podcast #roguetulips #usaenews #strategicoconsultants #highsierrainsights #datamanagement #datagovernance #dataquality #consulting #association #nonprofit

"Where we are moving towards is more transactional. It's not just about consuming. It's not about question answering. It's all about also to be able to perform tasks."

It's The Ranch It Up Radio Show! Join Jeff Tigger Erhardt, Rebecca Wanner AKA BEC and their crew as they move into spring sale season with an update on the Gulf Coast Classic from Superior Livestock.  Data management has never been easier, thanks to software like Cattle Max.  Learn about integration.  Plus the market recap, the ranch channel sales calendar and lots more all wrapped into this brand-new episode of The Ranch It Up Radio Show.  Be sure to subscribe on your favorite podcasting app or on the Ranch It Up Radio Show YouTube Channel. Spring Cattle Sales: Gulf Coast Classic From Superior Livestock The Gulf Coast Classic from Superior Livestock is the first big cattle run of the 2026 cattle sales season.  Deadlines to consign cattle are April 6, 2026.  You can watch the sale live from Natchitoches, Louisiana, April 16, 2026 starting at 8:00 AM CST.  View the sale live by watching Dish Network Channel 997 or streaming live on SLA-TV.com Data Management Made Easy with CattleMax CattleMax is a ranch management software designed to help cattle producers efficiently track and manage their herds. It allows users to record detailed data on individual animals, including health treatments, breeding history, weights, and pasture movements, all in one centralized system. By replacing paper records and spreadsheets with a streamlined digital platform, CattleMax helps improve decision-making, increase productivity, and maintain accurate records for compliance and reporting. Its user-friendly interface and cloud-based accessibility make it a practical tool for ranchers looking to modernize their operations. Featured Experts in the Cattle Industry Rayburn Smith - Superior Livestock https://superiorlivestock.com/ Follow On Facebook: @SuperiorLivestockAuction Terrill Miller – Cattle Max  https://www.cattlemax.com/ Follow on Facebook: @CattleMax Shaye Wanner – Host of Casual Cattle Conversation https://www.casualcattleconversations.com/ Follow on Facebook: @cattleconvos Contact Us with Questions or Concerns Have questions or feedback? Feel free to reach out via: Call/Text: 707-RANCH20 or 707-726-2420 Email: RanchItUpShow@gmail.com Follow us: Facebook/Instagram: @RanchItUpShow YouTube: Subscribe to Ranch It Up Channel: https://www.youtube.com/c/RanchItUp Catch all episodes of the Ranch It Up Podcast available on all major podcasting platforms. Discover the Heart of Rural America with Tigger & BEC Ranching, farming, and the Western lifestyle are at the heart of everything we do. Tigger & BEC bring you exclusive insights from the world of working ranches, cattle farming, and sustainable beef production. Learn more about Jeff 'Tigger' Erhardt & Rebecca Wanner (BEC) and their mission to promote the Western way of life at Tigger and BEC. https://tiggerandbec.com/ Industry References, Partners and Resources For additional information on industry trends, products, and services, check out these trusted resources: Allied Genetic Resources: https://alliedgeneticresources.com/ American Gelbvieh Association: https://gelbvieh.org/ Axiota Animal Health: https://axiota.com/multimin-campaign-landing-page/ Imogene Ingredients: https://www.imogeneingredients.com/ Jorgensen Land & Cattle: https://jorgensenfarms.com/#/?ranchchannel=view Medora Boot: https://medoraboot.com/ RFD-TV: https://www.rfdtv.com/ Rural Radio Network: https://www.ruralradio147.com/ Superior Livestock Auctions: https://superiorlivestock.com/ Transova Genetics: https://transova.com/ Westway Feed Products: https://westwayfeed.com/ Wrangler: https://www.wrangler.com/ Wulf Cattle: https://www.wulfcattle.com/

Today on the Tech Bytes podcast we talk network automation. More specifically, we dig into the need for proper data management to support your network automation initiatives. Automation relies on accurate, up-to-date information about your infrastructure, but that information can be scattered across innumerable repositories, systems, and spreadsheets. And it may, or may not, be... Read more »

Join us as Gerrit Vyn shares his extensive experience in wildlife biology, photography, and filmmaking in the untouched lands of Northern Alaska, known as the National Petroleum Reserve. Discover the biodiversity, conservation challenges, and the incredible journeys involved in documenting this remote region.Chapters02:48 Exploring the National Petroleum Reserve05:48 Wildlife Diversity in the Arctic08:45 Challenges of Filming in Remote Areas12:09 Experiences with Caribou Migration14:52 The Importance of Conservation18:04 Filming Techniques and Equipment36:06 Emerging Technologies in Photography39:11 Remote Camera Techniques and Equipment44:09 Data Management in Remote Locations50:40 Upcoming Projects and Expeditions55:46 Future of Wildlife Photography and ConservationGerrit Vyn LinksWebsite - https://www.GarretVynPhoto.comBird Photography Course - https://www.birdphotography.comPhotographyBlinds.com - https://www.photographyblinds.comYouTube - https://www.youtube.com/@GerritVynInstagram - https://www.instagram.com/gerritvynVisit Gerrit Vyn's website to see his work and support conservation efforts. Sign up for Gerrit Vyn's upcoming bird videography course and consider supporting Arctic conservation organizations.Thanks for tuning in to the Beyond the Wild Podcast. Don't forget to subscribe to stay notified about upcoming episodes for your listening and viewing pleasure! Beyond the Wild Podcast is sponsored by Pictureline.com and Canon USA.

Today on the Tech Bytes podcast we talk network automation. More specifically, we dig into the need for proper data management to support your network automation initiatives. Automation relies on accurate, up-to-date information about your infrastructure, but that information can be scattered across innumerable repositories, systems, and spreadsheets. And it may, or may not, be... Read more »

Think 5G is about faster phones? That's what telecom companies want consumers to believe. The truth is far more interesting. In this episode, Elena Fersman (VP and Head of AI Innovation at Ericsson) reveals what 5G networks are really built for: industries, not consumers. Through network slicing, edge computing, and cognitive systems, 5G creates the infrastructure that makes AI applications possible at scale—from remote surgery where milliseconds matter, to AR/VR without wearing a backpack of GPUs, to factory floors with autonomous heavy machinery. Elena also shares surprising stories: how establishing a simple communication link led to 20% fuel savings for a shipping company, why autonomous networks are safer than human operators (the elevator operator analogy is perfect), and why Ericsson's trustworthy AI research has been running for 15 years. If you're an IT leader trying to understand where networks and AI intersect, or you're struggling with AI deployment and don't know where to start, this conversation cuts through the hype with practical frameworks and real-world examples from someone who's been in the trenches for two decades.   Chapters: 00:00 - The Risk of Not Deploying AI 03:05 - The AI RAN Alliance: AI and Networks as Symbiotic Partners 10:03 - Why 5G Is Built for Industries, Not Consumers 13:54 - How AI Optimizes Networks (Energy, Predictions, Handoffs) 21:06 - Cognitive Networks and Self-Organization 29:02 - Real-World Impact: 20% Fuel Savings for Shipping 30:52 - What Makes AI Projects Scale vs Fail 41:11 - The Critical First Step: Data Management Over Algorithms 57:25 - Confessions of an AI Brain: The Positive Future 1:01:02 - Why Autonomous Systems Are Safer Than Humans -- This episode of IT Visionaries is brought to you by Meter - the company building better networks. Businesses today are frustrated with outdated providers, rigid pricing, and fragmented tools. Meter changes that with a single integrated solution that covers everything wired, wireless, and even cellular networking. They design the hardware, write the firmware, build the software, and manage it all so your team doesn't have to.That means you get fast, secure, and scalable connectivity without the complexity of juggling multiple providers. Thanks to meter for sponsoring. Go to meter.com/itv to book a demo.---IT Visionaries is made by the team at Mission.org. Learn more about our media studio and network of podcasts at mission.org. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Compliance and regulatory reporting used to mean endless spreadsheets, fragmented data sources, and teams drowning in manual work. Today, AI is transforming how the world's largest companies manage financial reporting, sustainability disclosures, and audit workflows—not by replacing humans, but by giving them time back to do strategic work. In this episode of IT Visionaries, host Chris Brandt sits down with Kim Huffman, CIO of Workiva, the platform used by 85% of the Fortune 100 for critical financial and compliance reporting. Kim shares her unique perspective as both a former Workiva customer and now the CIO steering the company into an AI-powered future. They explore how the office of the CFO is evolving under pressure from new sustainability regulations, how AI governance actually works in practice, and why collaboration between IT, finance, sustainability, and risk teams has become essential. Kim also discusses the changing role of the CIO, the coming wave of autonomous agents in the workplace, and why having more data doesn't always mean making better decisions.   Key Moments: 00:58 – The State of Compliance Today 02:18 – Why Standards and Regulations Matter 05:48 – The Complexity of Global Compliance 07:36 – Data Collection Across Teams 08:36 – Single Source of Truth 10:20 – The Sustainability Data Challenge 13:36 – The Endless Spreadsheet Problem 16:12 – What's Driving the CFO Office 19:46 – AI's Strategic Role at Workiva 23:02 – Beyond Repetitive Tasks 25:20 – Transforming How Teams Work 27:03 – Will AI Replace Jobs or Create Capacity? 30:00 – Measuring AI's Business Impact 33:06 – Speed vs. Data Overload 36:25 – The Evolving Role of the CIO 40:00 – Technology Leadership in Transition 43:09 – The Next Five Years for CIOs 46:14 – Managing the Coming Wave of AI Agents 50:02 – AI Will Create Its Own Security Industry 52:26 – The Sustainability Reporting Reality 55:31 – Resource Constraints and AI Consumption 57:34 – Why ESG Data Is Now Critical Business Intelligence 59:23 – Keeping NPS High While Innovating   -- This episode of IT Visionaries is brought to you by Meter - the company building better networks. Businesses today are frustrated with outdated providers, rigid pricing, and fragmented tools. Meter changes that with a single integrated solution that covers everything wired, wireless, and even cellular networking. They design the hardware, write the firmware, build the software, and manage it all so your team doesn't have to.That means you get fast, secure, and scalable connectivity without the complexity of juggling multiple providers. Thanks to meter for sponsoring. Go to meter.com/itv to book a demo.---IT Visionaries is made by the team at Mission.org. Learn more about our media studio and network of podcasts at mission.org. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Everpure, formerly known as Pure Storage (PSTG), is undergoing a significant business model transformation from solely a NAND flash hardware provider to a data management and software-centric company. This shift is highlighted by the acquisition of 1Touch (rebranded as Pure1) to enter the Data Security Posture Management (DSPM) market and a strategic partnership with Meta, where Everpure provides high-margin IP licensing and engineering services rather than just physical storage arrays. Despite record R&D spending approaching $1 billion and recent price increases to offset memory shortages, the market remains cautious as it waits for 75–85% gross margins from the Meta deal to reflect in financial results. What is CSI doing with our PSTG position?Join us on Discord with Semiconductor Insider, sign up on our website: www.chipstockinvestor.com/membershipSupercharge your analysis with AI! Get 15% of your membership with our special link here: https://fiscal.ai/csi/Sign Up For Our Newsletter: https://mailchi.mp/b1228c12f284/sign-up-landing-page-short-formChapters0:00 - The Rebrand: From Pure Storage to Everpure 1:15 - "Everpure" or "Ever Distilled"? Initial Thoughts on the Name 2:30 - Where Everpure Fits in the Semi Supply Chain 3:45 - The Software Shift: Portworks, 1Touch, and Pure1 5:00 - DSPM: Entering the Data Security Market 6:15 - R&D Comparison: Everpure vs. NetApp 7:45 - The Memory Shortage & 2026 Price Increases 9:00 - Decoding the Meta Deal: Engineering & IP Licensing 10:30 - Margin Expectations: The Path to 85% 11:45 - Guidance & Revenue Forecasts for FY2027 13:15 - Is Management Sandbagging? 14:30 - Final Verdict: Is PSTG a "Wait and See"?If you found this video useful, please make sure to like and subscribe!*********************************************************Affiliate links that are sprinkled in throughout this video. If something catches your eye and you decide to buy it, we might earn a little coffee money. Thanks for helping us (Kasey) fuel our caffeine addiction!Content in this video is for general information or entertainment only and is not specific or individual investment advice. Forecasts and information presented may not develop as predicted and there is no guarantee any strategies presented will be successful. All investing involves risk, and you could lose some or all of your principal.#Everpure #PSTG #PureStorage #TechInvesting #Semiconductors #DataManagement #Meta #StockMarket #ChipStockInvestorNick and Kasey own shares of PSTG

Computing resources are no longer just pieces of tech—they're scientific instruments. Moffitt Cancer Center's Jarett DeAngelis, director of scientific information technology, and Shane Corder, senior HPC engineer, join cohost Jessica StLouis, senior scientific consultant at BioTeam, to discuss new approaches changing access to HPC resources and how platforms like Open OnDemand are simplifying the HPC experience for those unfamiliar with the system. They also share their thoughts on the future of HPC resources, what the Moffitt Cancer Center is planning, and what they expect to see in the field in the coming years. Links from this episode:  Bio-IT World BioTeam Bio-IT World Europe Moffitt Cancer Center Bio-IT World's Trends from the Trenches podcast delivers your insider's look at the science, technology, and executive trends driving the life sciences through conversations with industry leaders.

In this conversation, John Tanner discusses the evolving role of AI in business strategy, emphasizing the need for leaders to understand AI's impact on their organizations. He highlights the challenges of integrating AI, the importance of data management, and the necessity for project managers to adapt their skills in the face of new technologies. Tanner also introduces his course on AI readiness, which aims to equip professionals with the knowledge and skills needed to navigate the AI landscape effectively. Takeaways AI is not just a tool; it's reshaping business strategy. The integration of AI requires a clear roadmap. Project managers play a crucial role in AI transformation. Data management is essential for effective AI implementation. AI can augment workflows but cannot replace human insight. Understanding AI's cultural impact is vital for leaders. The hype around AI has shifted to operationalizing its use. AI readiness involves assessing organizational gaps. Training and certification in AI are becoming increasingly important. The future of work will require a blend of technical and strategic skills. Chapters 00:18 Introduction to AI and Business Strategy 03:21 The Evolution of AI in Business 06:13 Challenges of AI Integration 09:17 AI Governance and Leadership 12:26 AI Enablement Roadmap 15:21 Data Management for AI Success 19:14 The Importance of Technical Discipline in Agile 21:31 The Role of AI in Modern Workflows 24:51 AI's Influence on Strategy and Decision Making 28:01 Evolving Skill Sets in the Age of AI 30:54 Project Management in the AI Era 35:05 Preparing for the Future with AI Training AI Ready Certification powered by ICAgile https://www.maven.com/c4g-academy/ai-ready Contacting John LinkedIn: https://www.linkedin.com/in/tannerjs/ C4G Enterprises: https://c4genterprises.com Contacting Dave LinkedIn: https://www.linkedin.com/in/mrsungo/ Linktree: https://linktr.ee/mrsungo

What happens when you deploy to prod on a Friday and it starts firing emails to every customer? Dan Barckley has lived it — and it's why he's now a DevOps believer. In this episode: accidental admin origins, why simple beats complex every time, Agentforce skepticism, and the leadership mindset that changes everything.About DevOps Diaries: Salesforce DevOps Advocate Jack McCurdy chats to members of the Salesforce community about their experience in the Salesforce ecosystem. Expect to hear and learn from inspirational stories of personal growth and business success, whilst discovering all the trials, tribulations, and joy that comes with delivering Salesforce for companies of all shapes and sizes. New episodes bi-weekly on YouTube as well as on your preferred podcast platform.Podcast produced and sponsored by Gearset. Learn more about Gearset: https://grst.co/4iCnas2About Gearset: Gearset is the leading Salesforce DevOps platform, with powerful solutions for metadata and CPQ deployments, CI/CD, automated testing, sandbox seeding and backups. It helps Salesforce teams apply DevOps best practices to their development and release process, so they can rapidly and securely deliver higher-quality projects. Get full access to all of Gearset's features for free with a 30-day trial: https://grst.co/4iKysKWChapters:01:36 Introducing Daniel Barckley: A Journey in Salesforce04:16 The Joy of Problem Solving in DevOps07:05 Learning from Mistakes: The Accidental Admin09:35 Tinkering and Innovation: Building in Salesforce12:37 The Importance of Mentorship and Leadership15:21 Characteristics of Great Leaders18:18 Navigating the Salesforce Ecosystem20:46 The Future of Salesforce: AI and Automation23:46 Data Management and Business Continuity26:43 Iterative Development and Continuous Improvement29:19 Embracing Change in the Tech World32:11 Closing Thoughts: Lead with Curiosity

In this episode, Alex Hillman, co-founder of Philadelphia's legendary coworking space Indy Hall, takes us through his journey building a sophisticated AI executive assistant using Claude Code. What started as a simple terminal experiment in October 2025 has evolved into a full production system that autonomously manages network diagnostics, email workflows, relationship tracking, and newsletter automation. Alex shares the technical architecture, real-world stories of AI-powered problem solving, cost insights, and his thoughtful approach to building trust with AI while maintaining strong ethical guardrails.## Chapters- 00:00 Coming Up...- 02:01 Introductions- 03:57 The Origins of PhillyCocoa and Indie Hall- 06:12 The Evolution of AI and Personal Assistants- 07:35 Building a Personal Assistant with Claude Code- 10:26 The Architecture of the Personal Assistant- 14:04 Creating a Web App Interface for the Assistant- 16:10 Using Tailscale for Secure Access- 19:01 Mitigating Risks with AI Autonomy- 29:24 Backup Protocols and Data Management- 31:23 Emergent Behavior in AI Systems- 34:10 Flow State and Productivity in Programming- 37:56 Understanding AI Behavior and User Education- 39:45 Cost Management in AI Development- 45:37 Building Trust with AI Systems- 53:53 Navigating Trust in Skill Utilization- 55:23 Technical Applications for Non-Developers- 01:00:17 Innovative Personal and Business Management- 01:09:03 Transforming Workflows with AI- 01:12:56 Ethics and Responsibility in AI Usage- 01:18:25 Community Building Through Meetups- 01:21:55 Tag## Highlights**Architecture:** Claude Code headless via CLI with WebSocket communication, Docker on Hetzner VPS, Tailscale networking, hourly snapshots, git hooks for destructive commands, multi-layered security.**Real Use Cases:**- Network monitoring that diagnosed an overheating router fan from a screenshot- Email sorted by "easiest to hardest" instead of chronological- Date night tracking with restaurant and wine pairing suggestions- Organized 51 wine bottles via photos into ASCII grid layout- Newsletter reduced from 4 hours to 30 minutes while preserving human writing**Costs:** $20/month plan lasted 20 minutes. Now at $200/month. One Thanksgiving week hit $1,500 in overages during heavy development.**Philosophy:** "Modest YOLO" approach—autonomous but controlled. AI enhances human work, doesn't replace it. The system can modify itself: type "add a button," refresh, it works.**Open Source:**- **Kuato**: Session search for Claude Code- **Smaug**: Twitter bookmark archiver with AI analysis- **Andy Timeline**: Auto-generated weekly narrative of the AI's evolution## Event**Big Philly Meetup Mashup** - March 15, 2026Hackathon for Philadelphia's tech and creative communities. Theme: "Good Neighbors." Sponsored by Supabase.https://indyhall.org/goodneighbors/## Links**Alex Hillman**YouTube: https://www.youtube.com/@AlexHillman | Website: https://dangerouslyawesome.com | GitHub: https://github.com/alexknowshtml**Open Source Projects**Kuato: https://github.com/alexknowshtml/kuato | Smaug: https://github.com/alexknowshtml/smaug | Andy Timeline: https://github.com/alexknowshtml/andy-timeline**Tools & Resources**Indy Hall: https://indyhall.org | Claude Code: https://claude.com/product/claude-code | OpenClaw: https://openclaw.ai | Brian Casel: https://www.youtube.com/@briancasel | Termius: https://termius.com | Point-Free: https://www.pointfree.co/the-way**PhillyCocoa:** http://phillycocoa.orgIntro music: "When I Hit the Floor", © 2021 Lorne Behrman. Used with permission of the artist.

In this episode of the Advanced Refrigeration Podcast, Brett Wetzel and Kevin Compass dive into an eclectic mix of topics - from freezing temperatures and snow blizzards to complex refrigeration systems. Our hosts are joined by special guest Chris Prom from Resource Data Management (RDM) who shares insights on case controllers, dealing with freezing cold temperatures, and the wonders of transcritical CO2 systems. They discuss everything from practical tips on handling unexpected issues, the quirks of different control units, to Chris's amusing relocation stories. Join us for a laughter-filled, yet informative deep dive into the world of advanced refrigeration!

In this episode of the Advanced Refrigeration Podcast, Brett Wetzel and Kevin Compass dive into an eclectic mix of topics - from freezing temperatures and snow blizzards to complex refrigeration systems. Our hosts are joined by special guest Chris Prom from Resource Data Management (RDM) who shares insights on case controllers, dealing with freezing cold temperatures, and the wonders of transcritical CO2 systems. They discuss everything from practical tips on handling unexpected issues, the quirks of different control units, to Chris's amusing relocation stories. Join us for a laughter-filled, yet informative deep dive into the world of advanced refrigeration!

For years, enterprises have discussed data democratisation as if it were an inevitable end goal. An assumption was made that turning on dashboards and training the business would lead to insight following naturally. But according to Barry McCardel, Co-Founder and CEO of Hex Technologies, the reality has been much more complicated.In the recent episode of the Don't Panic, It's Just Data podcast, McCardel joined host Kevin Petrie, VP Research and Head of Data Management at BARC, to talk about why access alone has never been enough. He also discussed how artificial intelligence (AI) is forcing the analytics community to rethink the purpose of data. The conversation dives into a familiar issue: how can organisations empower non-technical users without compromising data trust or overwhelming the technical teams responsible for it?“We've spent a decade pretending the problem was solved by self-service,” McCardel says. “But what we actually did was move complexity around instead of removing it.”As AI becomes part of analytics platforms, that complexity is finally being addressed. This includes long-standing beliefs about roles, ownership, and teamwork.Addressing the Myth of Data DemocratisationTracing many of the analytics issues faced by organisations in the present day, McCardel alludes to the early self-service BI, which promised that business users could explore data on their own. This was supposed to allow analysts and engineers to focus on more important tasks. In reality, the outcome often included duplicated logic, inconsistent metrics, and a widening trust gap between teams.“Access without context is chaos,” McCardel tells Petrie. “If everyone can answer questions, but everyone answers them differently, you haven't democratized anything; you've just created noise.”This issue has grown more urgent as organisations expand. Different roles—data engineers, analysts, data scientists, and business stakeholders—approach data with distinct goals and skills. Traditional tools forced everyone into the same interfaces, often designed for one group while ignoring the needs of the others.Petrie notes that many companies responded by adding layers of control, but this approach had drawbacks. Stricter guidelines slowed insight generation and pushed business users back into reliance on centralised teams.McCardel argues that the main problem isn't a lack of governance or tools but a lack of shared understanding. “We've treated analytics like a handoff,” he explains. “The data team builds it, the business consumes it. That model doesn't work when questions are fluid, and decisions are continuous.”He believes AI is revealing the limits of that model and providing a path forward.Also Watch: “Data Teams Suffer from Fragmentation” | Charles Schaefer @ Big Data LDN 2025AI is the Bridge, Not the ShortcutWhile much of the industry conversation about AI in analytics focuses on automation and natural language querying, the CEO of Hex is cautious about viewing AI as a quick fix. “If AI just gives you faster wrong answers, that's not progress,” he points out.Instead, he presents AI as...

In the rapidly evolving landscape of artificial intelligence (AI), the importance of data quality cannot be overstated. As organizations increasingly rely on AI to drive decision-making and optimize processes, the integrity of the data fed into these systems becomes a critical factor in determining the success or failure of AI initiatives. This CES conversation explores the necessity of data quality for AI, drawing insights from Kunju Kashalikar, VP of Product at Pentaho.Data Quality is Essential for AIOne of the fundamental premises of AI is that it requires clean, accurate, and well-structured data to function effectively. As Kunju Kashalikar aptly pointed out, computers are not adept at managing chaos; they thrive on order and precision. When organizations attempt to implement AI solutions without ensuring the quality of their data, they often encounter significant challenges. Scott highlighted a humorous yet poignant example of data quality issues: a former business partner worked at a utility company where technicians logged power outages with the simple explanation of "squirrel." The problem arose not from the content of the log but from the myriad of misspellings that emerged. This anecdote underscores a crucial point: even seemingly trivial inconsistencies in data can lead to inefficiencies, misinterpretations, and ultimately flawed AI outcomes.The need for data quality is further illustrated by the concept of data integrity. In order for AI systems to generate reliable insights, they must be trained on data that is not only accurate but also uniform. As Kashalikar noted, AI systems can struggle to recognize variations in data that should be classified as equivalent. For example, if an AI model encounters the terms "SQL" and "squirrel" without context or correction, it may fail to understand their intended meaning, leading to erroneous conclusions. This highlights the necessity of establishing robust data preparation processes that can clean and standardize data before it is ingested by AI systems.The Varying Causes of Data IssuesMoreover, Kashalikar emphasized that data quality issues can manifest in various forms, from simple typographical errors to more complex structural inconsistencies. He shared a cautionary tale about a rental car bill that inaccurately reported a mileage of 40,000 miles - an impossibility for a standard vehicle. Such discrepancies illustrate the potential pitfalls of relying on poor-quality data to inform AI models. If AI systems are trained on flawed data, the outputs will inevitably be flawed as well, leading to misguided recommendations and potentially harmful decisions.To mitigate these challenges, organizations must invest in data quality solutions that facilitate the discovery, classification, and cleansing of data. As Kashalikar stated, Pentaho makes data easier to understand and consume, which is essential for fostering AI adoption. By implementing filters and validation checks that ensure only accurate data is accepted into systems, organizations can significantly reduce the manual effort required to sanitize data. This proactive approach not only streamlines processes but also enhances the overall reliability of AI outputs.ConclusionIn conclusion, data quality is an indispensable component of successful AI implementation. The insights shared by Kunju Kashalikar underscore the critical role that clean, accurate, and well-structured data plays in enabling AI systems to deliver meaningful insights, and the ways in which Pentaho can help in that journey. As organizations continue to harness the power of AI, prioritizing data quality will be essential in navigating the complexities of an increasingly data-driven world. By establishing robust data management practices, businesses can lay a solid foundation for their AI initiatives, ultimately leading to more effective decision-making and improved outcomes.Interview by Scott Ertz of F5 Live: Refreshing Technology.Sponsored by: Get $5 to protect your credit card information online with Privacy. Amazon Prime gives you more than just free shipping. Get free music, TV shows, movies, videogames and more. Secure your connection and unlock a faster, safer internet by signing up for PureVPN today.

In the rapidly evolving landscape of artificial intelligence (AI), the importance of data quality cannot be overstated. As organizations increasingly rely on AI to drive decision-making and optimize processes, the integrity of the data fed into these systems becomes a critical factor in determining the success or failure of AI initiatives. This CES conversation explores the necessity of data quality for AI, drawing insights from Kunju Kashalikar, VP of Product at Pentaho.Data Quality is Essential for AIOne of the fundamental premises of AI is that it requires clean, accurate, and well-structured data to function effectively. As Kunju Kashalikar aptly pointed out, computers are not adept at managing chaos; they thrive on order and precision. When organizations attempt to implement AI solutions without ensuring the quality of their data, they often encounter significant challenges. Scott highlighted a humorous yet poignant example of data quality issues: a former business partner worked at a utility company where technicians logged power outages with the simple explanation of "squirrel." The problem arose not from the content of the log but from the myriad of misspellings that emerged. This anecdote underscores a crucial point: even seemingly trivial inconsistencies in data can lead to inefficiencies, misinterpretations, and ultimately flawed AI outcomes.The need for data quality is further illustrated by the concept of data integrity. In order for AI systems to generate reliable insights, they must be trained on data that is not only accurate but also uniform. As Kashalikar noted, AI systems can struggle to recognize variations in data that should be classified as equivalent. For example, if an AI model encounters the terms "SQL" and "squirrel" without context or correction, it may fail to understand their intended meaning, leading to erroneous conclusions. This highlights the necessity of establishing robust data preparation processes that can clean and standardize data before it is ingested by AI systems.The Varying Causes of Data IssuesMoreover, Kashalikar emphasized that data quality issues can manifest in various forms, from simple typographical errors to more complex structural inconsistencies. He shared a cautionary tale about a rental car bill that inaccurately reported a mileage of 40,000 miles - an impossibility for a standard vehicle. Such discrepancies illustrate the potential pitfalls of relying on poor-quality data to inform AI models. If AI systems are trained on flawed data, the outputs will inevitably be flawed as well, leading to misguided recommendations and potentially harmful decisions.To mitigate these challenges, organizations must invest in data quality solutions that facilitate the discovery, classification, and cleansing of data. As Kashalikar stated, Pentaho makes data easier to understand and consume, which is essential for fostering AI adoption. By implementing filters and validation checks that ensure only accurate data is accepted into systems, organizations can significantly reduce the manual effort required to sanitize data. This proactive approach not only streamlines processes but also enhances the overall reliability of AI outputs.ConclusionIn conclusion, data quality is an indispensable component of successful AI implementation. The insights shared by Kunju Kashalikar underscore the critical role that clean, accurate, and well-structured data plays in enabling AI systems to deliver meaningful insights, and the ways in which Pentaho can help in that journey. As organizations continue to harness the power of AI, prioritizing data quality will be essential in navigating the complexities of an increasingly data-driven world. By establishing robust data management practices, businesses can lay a solid foundation for their AI initiatives, ultimately leading to more effective decision-making and improved outcomes.Interview by Scott Ertz of F5 Live: Refreshing Technology.Sponsored by: Get $5 to protect your credit card information online with Privacy. Amazon Prime gives you more than just free shipping. Get free music, TV shows, movies, videogames and more. Secure your connection and unlock a faster, safer internet by signing up for PureVPN today.

In this conversation, Robert Rand discusses the challenges of managing complex data systems, particularly when outsourcing solutions. He emphasizes the risks associated with relying on external services for data management and the potential issues that can arise from data discrepancies and failures.TakeawaysManaging multiple systems requires careful consideration.Outsourcing data solutions can lead to unforeseen challenges.Data discrepancies can cause significant operational issues.It's crucial to have a plan for data failures.Relying on external services may not provide long-term solutions.Understanding the quality of outsourced work is essential.Data management is a critical aspect of system integration.Adjustments to data solutions can be complicated.A lack of control over data can lead to serious problems.Proactive measures are necessary to ensure data integrity.Chapters00:00 Introduction to AI in Business00:06 Navigating AI Risks and Challenges00:27 The Importance of Human Oversight

Join hosts Brett Wetzel and Kevin Compass as they dive into the chilling world of refrigeration with guest Chris Prom from Resource Data Management (RDM). This episode is packed with humorous anecdotes, from battling Michigan blizzards to figuring out why your CO2 system isn't behaving. Discover what it's like to handle 14 inches of snow in Minnesota, learn about gas cooler strategies, and find out why splitting gas cooler fans is a game changer. Plus, get a sneak peek behind the scenes of RDM's intuitive systems and Chris's personal journey through the frosty labyrinth of HVAC-r. You won't want to miss this jam-packed episode filled with tech tips, industry insights, and maybe a little too much info on South Carolina twangs. Be prepared for a frosty adventure!

Join hosts Brett Wetzel and Kevin Compass as they dive into the chilling world of refrigeration with guest Chris Prom from Resource Data Management (RDM). This episode is packed with humorous anecdotes, from battling Michigan blizzards to figuring out why your CO2 system isn't behaving. Discover what it's like to handle 14 inches of snow in Minnesota, learn about gas cooler strategies, and find out why splitting gas cooler fans is a game changer. Plus, get a sneak peek behind the scenes of RDM's intuitive systems and Chris's personal journey through the frosty labyrinth of HVAC-r. You won't want to miss this jam-packed episode filled with tech tips, industry insights, and maybe a little too much info on South Carolina twangs. Be prepared for a frosty adventure!

On this episode of The Association Podcast, we welcome Laura Sparks, Director of Marketing and Communications at the American Society of Appraisers. We dive into Laura's journey into the association space, exploring her eclectic background and approach to marketing and leadership. We also discuss the importance of member engagement, the integration of AI in association marketing, and the critical role of content quality. Laura highlights the significance of marketing's seat at the table and the need for collaborative planning to enhance member experiences and drive growth. Additionally, we explore volunteer engagement strategies and the value of feedback in refining marketing efforts. 00:00 Introduction and Guest Welcome 00:37 Rapid Fire Questions 02:23 Laura's Journey into Associations 05:40 Marketing and Sales Synergy 05:56 Content Marketing and AI 08:59 Tagging and Data Management 15:50 Member Experience and Feedback 26:01 The Role of Marketing in Associations 27:58 Marketing vs. Promotion: Understanding the Difference 29:55 The Importance of Marketing's Seat at the Table31:02 Gender Dynamics in Marketing 32:29 Engaging Volunteers Effectively 35:28 Marketing Volunteer Opportunities 38:16 The Challenges of Committee Work 43:49 Planning and Ideation in Marketing 50:24 Final Thoughts and Farewell

As artificial intelligence continues to dominate conversations across life sciences, many companies are reaching an inflection point between experimentation and real-world impact. In a recent episode of The Top Line, Mark Sullivan, president of regulated industries at Salesforce, said the industry is moving past broad promises toward a clearer divide between organizations that have laid the groundwork for AI and those still struggling to operationalize it. While early pilots have delivered mixed results, Sullivan said the next phase will be defined by how effectively companies use AI to augment their workforce, not replace it. Much like laptops or smartphones, AI proficiency is quickly becoming a baseline expectation for professionals, shaping productivity, decision-making and resilience across drug development, manufacturing and commercialization. Sullivan emphasized that success with AI agents hinges on trust, governance and high-quality data—particularly in an industry where accuracy and compliance are nonnegotiable. Life sciences organizations are beginning to see value in agents that support patient engagement, clinical trial matching and commercial execution, but only when those agents are grounded in enterprise data and clear guardrails. With as much as 80% of industry data unstructured, he said, the process of deploying agents often exposes deeper data and architecture challenges that must be addressed. Companies that solve for these issues can unlock both efficiency and growth, using AI not just to cut costs, but to strengthen patient relationships and drive innovation. The conversation offers a practical look at how life sciences leaders can move beyond the hype and build an agentic strategy that delivers measurable results—making it a must-listen for anyone navigating AI adoption in a regulated environment.See omnystudio.com/listener for privacy information.

Feeling buried under dashboards and drowning in data? You're not alone, and there is a better way.In this episode, Jonathan and Becky welcome back impact measurement expert Ori Carmel for a refreshingly honest conversation about shifting from “more data” to better decisions. Together, they unpack how nonprofits can move past performative reporting, reconnect with what truly matters, and focus on the metrics that actually drive mission-forward impact.Along the way, Ori shares candid stories, practical frameworks, and even a little Pearl Jam,  reminding us that impact work is as human as it is analytical. From uncovering your organization's unique strengths to making data feel less overwhelming (and more empowering), this episode is full of clarity, wisdom, and a few good laughs.If you're craving less noise and more meaning in how you measure success, this one's for you.Episode Highlights: Data Reckoning in Nonprofits (02:00)The Challenge of Impact Reporting (04:43)Asking Better Questions (08:54)Building Metrics with Meaning (18:36)What to Stop Doing in Data Management (23:39)The Importance of Stakeholder Mapping (30:28)Episode Shownotes: www.weareforgood.com/episode/671Thank you to our partners

Overview: In this episode of the SMB Community Podcast, hosts James Kernan and Amy Babinchak discuss the top opportunities for Managed Service Providers (MSPs) looking ahead to 2026. They focus on the importance of AI integration, data management, and the need for proper training, as well as compliance and governance issues. They also touch on the ongoing trends in mergers and acquisitions within the MSP industry. Additional topics include leveraging industry awards for marketing and the ongoing debate around cryptocurrency investments. The episode is full of actionable advice for MSPs aiming to stay ahead in a rapidly evolving industry. --- Chapter Markers: 00:00 Introduction and Welcome  02:01 MSP Question of the Week: Top Opportunities for MSPs in 2026 02:53 AI and Data Management 05:42 Compliance and Regulations 08:34 Mergers and Acquisitions 11:15 Training and Readiness for AI 15:57 MSP Titans Event 19:37 Crypto Investments 22:10 Conclusion and Wrap-Up --- New Book Release: I'm proud to announce the release of my new book, The Anthology of Cybersecurity Experts! This collection brings together 15 of the nation's top minds in cybersecurity, sharing real-world solutions to combat today's most pressing threats. Whether you're an MSP, IT leader, or simply passionate about protecting your data, this book is packed with expert advice to help you stay secure and ahead of the curve. Available now on Amazon! https://a.co/d/f2NKASI --- Sponsor Memo: Since 2006, Kernan Consulting has been through over 30 transactions in mergers & acquisitions - and just this past year, we have been involved in six (6). If you are interested in either buying, selling, or valuation information, please reach out. There is alot of activity and you can be a part of it. For more information, reach out at kernanconsulting.com

Send us a textIn this episode, SteveO and Frank discuss the latest updates in cloud computing, focusing on AWS and Azure innovations. They cover new features in EC2, Lambda, and Workspaces, as well as advancements in data management and AI. The conversation also highlights cost management tools and strategies, flexible cost allocation, and storage solutions. The hosts emphasize the importance of FinOps in managing cloud costs and conclude with insights into future developments in cloud technology.

Join Michael Foster, Stacey Bobby, and Paul Walker as they discuss all things iManage, from Data Management to Generative AI. Want to learn more about iManage? Check out their website at www.imanage.com for more information or to get in contact!

MY NEWSLETTER - https://nikolas-newsletter-241a64.beehiiv.com/subscribeJoin me, Nik (https://x.com/CoFoundersNik), as I interview Amanda Orson (https://x.com/amandaorson). We dive deep into how massive efficiency gains from AI are revolutionizing startups, allowing companies to run much leaner than ever before. Amanda explains her approach of Seed strapping—taking outside capital just once to get the initial product, like Navigator or the B2B directory, off the ground, and then relying on rapid revenue reinvestment to accelerate growth and preserve equity.She reveals that between 50% and 60% of their code is now AI generated, and we discuss the possibility of the first single person unicorn company. We focus heavily on practical AI frameworks, including how Amanda uses ChatGPT's operator as a "proof of concept" to validate whether or not a function can be automated before investing further.We break down the differences between using ChatGPT versus Claude, with Amanda emphasizing that Claude is often superior for creating "tighter" projects that involve deep research and dynamic artifacts. Plus, she shares her incredible "cheat code" for turning historical figures or admired business leaders—like Edwin Land or Elon Musk—into specialized AI thought partners by curating their transcripts and distillations. She even offers a starting point for any business owner looking to dive into AI for the first time.Enjoy the conversation!__________________________Questions This Episode Answers:What is Seed strapping and how can it help founders preserve equity?How much leaner can a modern company run now that AI can generate code?What is the "genius framework" for using operator to validate the feasibility of automation?How can you use Claude projects to create a specialized AI thought partner out of business idols?Should you use ChatGPT or Claude as your primary AI workhorse for data projects?__________________________Love it or hate it, I'd love your feedback.Please fill out this brief survey with your opinion or email me at nik@cofounders.com with your thoughts.__________________________MY NEWSLETTER: https://nikolas-newsletter-241a64.beehiiv.com/subscribeSpotify: https://tinyurl.com/5avyu98yApple: https://tinyurl.com/bdxbr284YouTube: https://tinyurl.com/nikonomicsYT__________________________This week we covered:00:00 The Rise of AI and Its Impact on Business02:55 Seed Strapping: A New Approach to Funding06:07 Leveraging AI for Efficiency and Growth09:04 Using AI as a Thought Partner11:51 Data Management and Analysis with AI15:06 The Future of AI in Business17:58 Practical Applications of AI Tools21:10 Navigating AI for Business Owners

Kevin Shtofman is the Global Head of Alliances and Corporate Development at Cherre, a real estate data platform powering over $3.3 trillion in AUM. With 20+ years of experience across real estate, finance, and consulting, Kevin leads global initiatives to integrate and contextualize data from systems, third parties, and JV partners, helping investors, operators, and asset managers make smarter decisions. At Cherre, he also oversees strategic partnerships, global expansion, and the innovation roadmap. Prior to joining Cherre, Kevin held leadership roles across the industry, including Chief Operating Officer at NavigatorCRE, and Global Real Estate Technology Strategy Lead at Deloitte, where he advised clients on emerging technologies like AI, automation, and blockchain. A recognized voice in real estate innovation, Kevin brings two decades of experience bridging data, operations, and technology across global real estate markets. Outside of work, Kevin is a golf enthusiast, occasional Ironman, and proud father of three daughters.(02:05) - Kevin's Background(05:19) - Challenges in Real Estate Data Management(06:52) - Cherre's Approach to Data Integration(13:48) - Evolution of Cherre's Platform(21:41) - Client Success Stories(24:58) - Future of Real Estate and AI(25:23) - Feature: Blueprint - The Future of Real Estate - Register for 2026: The Premier Event for Industry Executives, Real Estate & Construction Tech Startups and VC's, at The Venetian, Las Vegas on September 22nd-24th, 2026. As a friend of Tangent, you can save $300 on your All-Access pass(29:58) - Introducing Cherre AI Agent Marketplace(33:58) - AI Use Cases(40:06) - The Future of Real Estate Data(42:29) - Affordable Housing and Investment(47:37) - Collaboration Superpower: William Levitt (Wiki) & Larry Brown (Wiki)

Alex and Amy are joined by NASCIO's program director for enterprise architecture and governace Eric Sweden to discuss the 2025 State CIO Survey sections on data management and cloud services. We also talk Thanksgiving food!Read the State CIO Survey here: https://www.nascio.org/resource-center/the-2024-state-cio-survey/

In this episode of the Ardan Labs Podcast, Bill Kennedy talks with Catherine Johnson, VP of Global Solutions Engineering at Hydrolix, about her career journey through data management, scalability, and innovation. With a background spanning leadership roles at Hydrolix, Grafana Labs, and Oracle, Catherine shares insights into balancing engineering, entrepreneurship, and mentorship. She discusses the evolution of real-time data systems, the economics of storage, and the importance of data-driven decision-making. Catherine also opens up about taking a break from tech to teach dance, and how her passion for innovation and continuous learning fuels her leadership today.00:00 Introduction03:03 Data Management and Scalability05:58 Explosion of Data and Storage Needs09:01 Real-Time Data in Business14:49 Economics of Data Storage20:41 Education and Early Career31:09 Career Transitions and Growth46:10 Teaching Dance and Finding Balance53:16 Returning to Tech at Oracle01:08:10 Joining Elastic and Facing Burnout01:15:45 Leadership and Innovation at Hydrolix01:27:07 AI in Tech and Its LimitationsConnect with Catherine: LinkedIn: https://www.linkedin.com/in/catjopdx/Mentioned in this Episode:Hydrolix: https://hydrolix.io/Want more from Ardan Labs? You can learn Go, Kubernetes, Docker & more through our video training, live events, or through our blog!Online Courses : https://ardanlabs.com/education/ Live Events : https://www.ardanlabs.com/live-training-events/ Blog : https://www.ardanlabs.com/blog Github : https://github.com/ardanlabs

This week on Azure Friday, Scott Hanselman meets with Santosh Chandwani to learn how Azure Storage Actions accelerates the automation of data management tasks with a distilled no-code and serverless experience. The episode explores how this fully managed platforms helps you compose and deploy tasks for data protection, cost optimization, compliance and other use cases within minutes. Chapters 00:00 - Introduction 01:30 - Data management challenges 03:17 - Demo – Compose and deploy Storage Actions 17:15 - Demo – Managing Storage Actions 21:46 - Wrap up Recommended resources Learn Docs Azure Product page Connect Scott Hanselman | Twitter/X: @SHanselman Santosh Chandwani | Twitter/X: @SantoshC1 Azure Friday | Twitter/X: @AzureFriday Azure | Twitter/X: @Azure

This week on Azure Friday, Scott Hanselman meets with Santosh Chandwani to learn how Azure Storage Actions accelerates the automation of data management tasks with a distilled no-code and serverless experience. The episode explores how this fully managed platforms helps you compose and deploy tasks for data protection, cost optimization, compliance and other use cases within minutes. Chapters 00:00 - Introduction 01:30 - Data management challenges 03:17 - Demo – Compose and deploy Storage Actions 17:15 - Demo – Managing Storage Actions 21:46 - Wrap up Recommended resources Learn Docs Azure Product page Connect Scott Hanselman | Twitter/X: @SHanselman Santosh Chandwani | Twitter/X: @SantoshC1 Azure Friday | Twitter/X: @AzureFriday Azure | Twitter/X: @Azure

This week on Azure Friday, Scott Hanselman meets with Santosh Chandwani to learn how Azure Storage Actions accelerates the automation of data management tasks with a distilled no-code and serverless experience. The episode explores how this fully managed platforms helps you compose and deploy tasks for data protection, cost optimization, compliance and other use cases within minutes. Chapters 00:00 - Introduction 01:30 - Data management challenges 03:17 - Demo – Compose and deploy Storage Actions 17:15 - Demo – Managing Storage Actions 21:46 - Wrap up Recommended resources Learn Docs Azure Product page Connect Scott Hanselman | Twitter/X: @SHanselman Santosh Chandwani | Twitter/X: @SantoshC1 Azure Friday | Twitter/X: @AzureFriday Azure | Twitter/X: @Azure

This week on Azure Friday, Scott Hanselman meets with Santosh Chandwani to learn how Azure Storage Actions accelerates the automation of data management tasks with a distilled no-code and serverless experience. The episode explores how this fully managed platforms helps you compose and deploy tasks for data protection, cost optimization, compliance and other use cases within minutes. Chapters 00:00 - Introduction 01:30 - Data management challenges 03:17 - Demo – Compose and deploy Storage Actions 17:15 - Demo – Managing Storage Actions 21:46 - Wrap up Recommended resources Learn Docs Azure Product page Connect Scott Hanselman | Twitter/X: @SHanselman Santosh Chandwani | Twitter/X: @SantoshC1 Azure Friday | Twitter/X: @AzureFriday Azure | Twitter/X: @Azure

Daniel is joined by Pedro Pires, a product and technology leader with a strong background in IP and data management within the EDA industry. Currently a product manager at Keysight Technologies, he drives the roadmap for the AI-driven data management solutions. Pedro's career spans roles in software engineering and data science… Read More

In this episode, Kevin Bowers returns to explain Jump's expansion from trading to core infrastructure, centered on what he calls the "great inversion": the real bottleneck in tech isn't compute, but data and I/O. He introduces Shelby, a new storage network, as a direct challenge to the "Hotel California for Data" model used by cloud providers. This same focus on efficient data flow—not just processing power—was the key to scaling Solana with Fire Dancer. Finally, Kevin explains how FPGAs from high-frequency trading are the critical hardware solution, allowing blockchains to bypass software's inefficient "Tower of Babel" and "get close to the wire" for true high performance. 00:00 - Expanding Beyond Trading and the Vision for Shelby 02:31 - Challenges in Storage and Data Management 04:37 - Building High-Performance Systems 08:04 - The Evolution of Jump's Technology 11:55 - The Economics of Cloud Storage 29:07 - Fire Dancer and Frankendancer 42:03 - The Cost of Optimization 42:48 - Machine Learning and Custom Networks 43:47 - Project Prioritization and Entropy 46:48 - Challenges in High-Performance Computing 56:38 - The Role of FPGAs in Trading and Blockchain 01:13:45 - Future of Hardware Acceleration in Blockchain 01:18:54 -Conclusion and Final Thoughts Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Join Pure Storage Technical Evangelists Don Poorman and Mike Nelson as we dive into Pure Fusion and how Pure Storage is enabling users to focus less on managing storage and more on managing their data. We start by examining the complexities of managing storage and application workloads in today's rapidly evolving IT landscape. We expose the challenges posed by legacy vendor "portfolios" which often consist of disparate products lacking unified GUIs and APIs. Learn why a fundamental shift is necessary to eliminate silos in enterprise storage, moving beyond mere federation to true integration – a unified management plane with common APIs that seamlessly operate across the entire storage ecosystem. Poorman and Nelson underscore how this integration and automation are not just valuable for traditional workloads but will be absolutely critical for the future of AI implementation, especially for inference. Our discussion pivots to Pure Storage's groundbreaking solution: Fusion. Learn what Fusion is – a powerful capability included in the latest versions of the Purity operating environment that provides an intelligent control plane for a centralized, unified management experience across an entire fleet of arrays. Our experts explain how Fusion inherently adopts Pure's API-First strategy, offering robust automation capabilities through PowerShell SDK, Ansible, and Python. They highlight how Fusion drives management, compliance, and workload configuration consistency from a single pane of glass, and how it's a vital foundation of Pure's Enterprise Data Cloud (EDC) vision. Listeners and viewers will gain invaluable insights into the tangible benefits of Fusion, including the ability to provision storage on any array from any array within the same UI, search and manage storage resources globally, and reconfigure resources without needing to access a specific array. Poorman and Nelson also explore how Fusion simplifies and standardizes workload deployments with pre-configured definitions, enabling end-to-end workload orchestration. They touch upon future enhancements like seamless interoperability across file, object, and block storage in on-site, hybrid, and cloud environments, and the exciting prospect of workload mobility. 
 Check out the new Pure Storage digital customer community to join the conversation with peers and Pure experts: 
https://purecommunity.purestorage.com/

Traditional AR and AP finance is no longer enough. With evolving disclosure requirements, tariff pressures, and increasing supplier expectations, treasurers must deliver liquidity and visibility with fewer resources while managing heavier supplier demands. In this episode, Sean VanGundy and Jeremy Reedus join Craig Jeffery from Strategic Treasurer and Michel Abranches from Monkey Tech (Money is Key) to explore how working capital 2.0 helps treasurers move beyond one-size-fits-all programs. They discuss how hybrid approaches, such as auction-based supplier financing for lower rates alongside automated dynamic discounting, can optimize AR and AP, strengthen supplier adoption, and deliver measurable EBITDA impact. The conversation also highlights how real-time visibility gives treasurers a true decision cockpit and how removing the lift of supplier onboarding and support enables higher participation and improved governance. https://www.monkeytech.com/

This episode explores how treasury teams can unlock the full value of their data. Paul Galloway breaks down key challenges like integration and trust, covers tools from TMS platforms to AI and APIs, and discusses forecasting models. Learn how to build a stronger data architecture and use forecasting techniques that improve visibility and decision-making across the organization.    

- Introduction and Interview Teaser (0:00) - AI Engine Enoch and Its Capabilities (1:21) - Advancements in AI and Machine Learning (3:40) - Impact of AI on Employment and Efficiency (13:19) - Challenges in AI Implementation and Data Management (16:02) - Demonstration of AI Capabilities (20:20) - AI in Journalism and Content Creation (30:34) - Critique of Mainstream AI Engines (30:50) - AI and Ethical Concerns (36:53) - Future of AI and Its Implications (48:40) - Lucknick's Alleged Shakedown of Intel and Democrats' Money Laundering (57:44) - Trump and Lucknick's Tactics and Midterm Election Outlook (1:20:08) - Critique of Patent System and Big Pharma (1:22:17) - Lucknick's Involvement in Defense Sector and Concentration of Power (1:30:03) - Randall Carlson's Interview and Three Eye Atlas Space Rock (1:33:59) - Historical Evidence and Ancient Myths (2:24:09) - AI-Generated Images of Biblical Trumpets (2:25:01) - Randall Carlson's Research on Ancient Catastrophes (2:31:10) - The Role of Comets in Human History and Mythology (2:31:26) - The Impact of Celestial Events on Human Civilization (2:33:02) - Extreme Rainfall and Glacial Melting (2:33:22) - Impact of Oceanic Impacts on Climate (2:36:13) - Historical Evidence of Tsunamis (2:38:08) - Extraterrestrial Objects and Their Impact (2:40:29) - Advanced Civilizations and Energy Sources (2:46:03) - Challenging Archeological Narratives (2:46:19) - Historical Progress and Advanced Civilizations (2:49:19) - The Role of Plasma Energy in Civilization (2:51:53) - Randall Carlson's Podcast and Website (2:53:22) - Future Collaboration and Final Thoughts (2:59:36) For more updates, visit: http://www.brighteon.com/channel/hrreport NaturalNews videos would not be possible without you, as always we remain passionately dedicated to our mission of educating people all over the world on the subject of natural healing remedies and personal liberty (food freedom, medical freedom, the freedom of speech, etc.). Together, we're helping create a better world, with more honest food labeling, reduced chemical contamination, the avoidance of toxic heavy metals and vastly increased scientific transparency. ▶️ Every dollar you spend at the Health Ranger Store goes toward helping us achieve important science and content goals for humanity: https://www.healthrangerstore.com/ ▶️ Sign Up For Our Newsletter: https://www.naturalnews.com/Readerregistration.html ▶️ Brighteon: https://www.brighteon.com/channels/hrreport ▶️ Join Our Social Network: https://brighteon.social/@HealthRanger ▶️ Check In Stock Products at: https://PrepWithMike.com