Podcasts about Data management

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.

Access the podcast to hear AIOps experts discuss how Hitachi VSP One delivers high-performance file services that accelerate IT modernization by improving fleet management, operational visibility and API-driven automation. Learn how Hitachi Vantara Federal can help your agency streamline firmware updates, licensing and system setup to enhance application performance and automate critical data workloads.

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.

WHS is conducting market research for a $400M–$500M Multiple-Award IM&T IDIQ supporting the Defense Security Cooperation Agency (DSCA). This new requirement covers Program & Project Management, Software Development & Sustainment, and Data Management & Business Intelligence, with a strong focus on Agile delivery, DevSecOps, and modern data platforms. Award is expected in August 2026.Listen now to understand the scope, key requirements, and how vendors can position early.Contact ProposalHelper at sales@proposalhelper.com to find similar opportunities and help you build a realistic and winning pipeline.

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

Check out the video here! - you'll wanna watch this weeks episode if ya can!This week on The Astrocast, Roo, Justin, and Parish get together to discuss Astrophotography data management, Pixinsight, Network Attached Storage, NINA, and a whole lot more, on this weeks episode of The Astrocast. If you would like to support the show, consider joining our Patreon! https://www.patreon.com/c/TheAstrocast On today's episode, you'll learn all about: Justin's method for dealing with MASSIVE amounts of data Parish's method for dealing with a more "normal"/human amount of data Some awesome tips and tricks for Pixinsight NAS Storage for AP Event Scheduler for NINA ..and a whole lot more! If you like the video, please subscribe! You can also find The Astrocast on Spotify, Apple Podcasts, or wherever you listen! Links from this weeks show:Follow the Deepsky Collective on Instagram Jellyfin (Open source media server): https://jellyfin.org/ NINA: https://nighttime-imaging.eu/ A very special thank you and shout out to Parish and Justin for joining me this week. A huge heartfelt hug going out to @DylanODonnell hoping he recovers quickly, the community needs you, and you're just too great of a guy for this to hapen to. Godspeed Dylan.Support the showEmail me at "Roo@TheAstrocast.com" with any questions/comments. Thanks for listening!

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

Keith Lockhart from Oxygen Forensics joins Si and Desi on the Forensic Focus Podcast to examine how remote digital evidence collection is changing investigative workflows across DFIR, eDiscovery, and corporate investigations. Drawing on recent XiB mobile training and real-world deployments, Keith explains where remote and agent-based acquisition delivers practical benefits—and where traditional hands-on methods remain essential. The discussion covers targeted versus full acquisitions, consent and governance in corporate environments, and the operational realities of collecting data across networks, jurisdictions, and time zones. It also explores over-the-air mobile collection, workstation memory capture, drone forensics, and why parser development remains a constant challenge as apps and platforms evolve. #DigitalForensics #DFIR #MobileForensics #IncidentResponse #eDiscovery #RemoteCollection #DigitalEvidence #cybercrime

In this episode, we dive into the practical aspects of implementing AI in your business. Host Kyle, CEO and President, and Scott, Director of Strategic Services, discuss their personal experiences with AI and automation. They explore major roadblocks businesses face when starting AI projects, such as data unification and training. The conversation emphasizes the need for collaboration across departments, strategic governance, and continuous training to effectively leverage AI tools. Tune in to discover actionable insights on how to kickstart your AI journey and drive productivity gains. Don't miss out on these expert tips to start 2026 with success!00:00 Introduction and Icebreaker00:26 Personal AI Implementations03:38 Challenges in AI Implementation for Businesses04:08 Data Management and AI11:02 Training and Collaboration for AI Success19:18 The Future of AI in Business26:17 Conclusion and Final ThoughtsResources: https://www.thestreet.com/investing/pentagon-gave-palantir-448-million-learn-why https://www.citsolutions.net/solutions/consultations/ai-consulting-services-for-business/

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!

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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)

"We're always running at 100%. Some people love that. I think it's like an adrenaline rush."That's how Katie Coulson describes leading Skanska Advanced Technology—where construction projects that typically take 2-3 years get done in a fraction of the time.In today's episode of Bricks & Bytes, we had Katie Coulson from Skanska Advanced Technology and we got to learn about how they're building data centers and semiconductor fabs at tech company speed, why they're often starting construction before the design is even finalized, and what 31 years in construction has taught her about the future of the industry... and many more!Tune in to find out about:✅ How Skanska's vertical unit model combines national tech expertise with local market knowledge to deliver high-speed projects across the US✅ Why the traditional construction bell curve doesn't exist in data center and semiconductor work—and the type of people who thrive in that chaos✅ The sophisticated subcontractor relationships that make it possible to mobilize quickly across different markets✅ Katie's predictions on AI, offsite manufacturing, and robotics as solutions to construction's labor challenges (especially as remote work isn't an option for field teams)If you're building in the data center or semiconductor space, or just curious about how construction is adapting to move at tech speed, this one's for you. Watch the full episode now. Link in the comment!

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

Traditionally, CRE decisions have relied on fragmented data from multiple sources—lease management, occupancy analytics, HR, and financial reports.

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

Send us a textIn this episode of What's New in Cloud FinOps, hosts SteveO and Frank discuss the latest updates from the TBM conference, then moving on to their usual FinOps news, with many AWS news: new EC2 instances, cost management innovations, and sustainability initiatives in cloud services. They explore the implications of Lambda billing changes, real-time bidding technology, and the evolving landscape of cloud financial management training. Chapters00:00 Introduction and Conference Insights02:07 AWS News Highlights06:45 New EC2 Instances and Performance Improvements10:41 Data Management and Optimization Tools14:07 Storage Innovations and Cost Efficiency18:34 Capacity Management and Kubernetes Integration21:57 Pricing Changes and Licensing Optimization27:39 Emerging Technologies and Cost Savings28:46 AWS RTB Fabric for Real-Time Advertising30:50 AWS Service Availability Updates33:19 Sunsetting AWS Services34:41 Amazon Q Developer: Cost Management Tool38:27 Kronos 2: Advanced Forecasting Model39:20 Upcoming FinOps Sessions at reInvent 202541:30 GCP Anomaly Detection Features43:19 Azure's Environmental Sustainability Features44:54 AWS Customer Carbon Footprint Tool Update46:21 New FinOps Training Courses

In this conversation, Frank Verdeja shares his extensive experience in e-commerce and data management, discussing the importance of bridging the communication gap between technical teams and business stakeholders. He emphasizes the role of data integrity in e-commerce and the growing significance of data management systems in the age of AI. Frank expresses his enthusiasm for discovering new e-commerce companies and supporting startups in the Minneapolis area.TakeawaysFrank has 13 years of experience in e-commerce and data management.He emphasizes the importance of context in communication between technical and business teams.Data integrity is crucial for businesses of all types.Frank's company focuses on data governance and observability.He believes that understanding the value of data helps prioritize tasks.The rise of AI has made data management systems more important than ever.Customers prefer to own their data and need suitable platforms.Frank enjoys learning about new e-commerce companies in the Twin Cities.He has a passion for supporting startups and new players in the market.The conversation highlights the intersection of technology and business in e-commerce.Chapters00:00Introduction to E-commerce and Data Management02:57Bridging the Gap: Technology and Business Communication05:33Data Integrity and Its Role in E-commerce06:06The Future of E-commerce and Data Management06:06TC - Outtro All AV version 1.mp4

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/

In this episode of Real Talk with Anant Veeravalli, the discussion revolves around the evolving data landscape and the necessity for strategic partnerships to achieve holistic measurement. The team unpacks the importance of ethical data sourcing, privacy compliance, and the utilization of clean room environments like Snowflake and Databricks to bridge data gaps. Enabling secure and scalable data connectivity and facilitating real-time data sharing is key for brands to derive meaningful intelligence, including predictive modeling and AI-driven insights. This episode is essential listening for anyone focused on governance, security, and future-proofing data systems.Thanks for listening! Follow us on Twitter and Instagram or find us on Facebook.

In this episode of Talk Commerce recorded live from Ecom Forum in Minneapolis, host Brent Peterson sits down with Sharon Gee, Senior Vice President of Product at Commerce, to discuss how artificial intelligence and agentic commerce are reshaping ecommerce. Sharon oversees AI offerings across BigCommerce, Feedonomics, and Makeswift, bringing insights on how merchants can adapt to a world where AI agents shop alongside humans.Key TakeawaysData has become the new storefront as consumers increasingly turn to answer engines rather than traditional searchMerchants need to provide structured, contextual data to AI agents, not just visually appealing websites for human shoppersChatGPT reached 100 million users faster than any consumer technology in historyProduct data must exist on multiple levels, from basic ad information to unstructured content in PDFs and reviewsB2B commerce stands to benefit significantly from AI-powered sales assistantsNew trust protocols are being established to manage transactions between shoppers, agents, merchants, and merchant agentsAI democratizes marketing tools, allowing creative thinkers to execute ideas without engineering expertiseEpisode SummarySharon begins by explaining her role at Commerce and immediately addresses the most significant shift in ecommerce: the rise of agentic commerce. For decades, professionals optimized data for advertising channels, working to improve conversion rates between two and five percent. Now consumers turn to answer engines with complex queries like finding a dress for a wedding in Italy in a specific color and size, delivered by tomorrow."Somebody came along and bopped the board game and now we get to reset all the pieces," Sharon explains. This shift requires merchants to recognize that data has become the new storefront. Answer engines need deep context to respond to long-form queries, making product discoverability critical wherever shoppers are looking.Sharon introduces a framework for data levels. Level one includes basic information for Google ads. Level two encompasses marketplace data. Level three consists of product specifications in PIM systems. Levels four and five venture into unstructured data, including PDFs and user reviews. This creates what she calls a bifurcated experience—merchants need different versions of their sites for AI agents versus human visitors.When asked whether sites might become pure APIs, Sharon argues for both approaches. Brand sites remain channels merchants control, but on third-party agentic channels, merchants only control the data they provide. This makes data investment critical for visibility.Sharon sees massive potential in B2B sales assistants trained on documentation that human sales reps use. If three-quarters of the sales cycle could progress overnight, reps could focus on high-touch human interactions. B2B companies have advantages because they're manufacturers with deep data, extensive documentation, and sophisticated pricing structures.Addressing concerns about AI reliability, Sharon explains that commerce platforms and partners are collaborating on protocols. "You've seen more open protocols released in the past six months than like the previous 10 years combined," she notes. Companies recognize that trust becomes paramount when authorizing agents to shop on behalf of consumers. Transactions now involve four parties: a shopper, a shopper agent, a merchant, and a merchant agent.Sharon emphasizes AI's role as a growth enabler rather than just a cost-reduction tool. Merchants could rewrite entire product catalogs with a button click using generative AI. AI provides jet fuel for existing teams, unlocking capabilities never before possible. "I would love it if our generation is the last one to use a mouse and a keyboard," Sharon declares.Brent adds that AI's greatest value might be identifying what merchants aren't doing rather than what they should be doing. Sharon confirms that Commerce customers use tools to define simulated personas and understand what queries those personas might ask, then determine what content they need to ensure their products get referenced instead of competitors' products.Episode Timestamps[00:00] - Introduction and Sharon's role at Commerce[01:00] - How agentic commerce is changing the game[02:30] - The shift from traditional SEO to AI-driven discovery[04:00] - Why data is the new storefront[06:00] - The five levels of product data[08:00] - Creating different experiences for agents vs humans[10:00] - The bifurcated website experience[12:00] - Why B2B commerce will benefit from AI agents[14:00] - Building trust protocols for agentic transactions[16:00] - AI as a growth enabler vs cost reducer[18:00] - Rewriting catalogs with generative AI[20:00] - Finding gaps in content strategy with AI[21:00] - Final thoughts on Ecom Forum and the human element

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/

Send us a textIn this episode, Joe sits down with Gidi Cohen, a cybersecurity expert with a rich background in the Israeli 8200 unit, to explore the evolving landscape of data security. They delve into the challenges of managing large data sets, the impact of AI on cybersecurity, and the innovative solutions offered by Bonfy AI. Whether you're a seasoned professional or new to the field, this conversation offers valuable insights into the complexities and opportunities within data security. Tune in to learn how to navigate the ocean of data and protect your organization's most valuable assets.00:00 Introduction to Gidi Cohen and His Background01:49 The Role of 8200 Unit in Cybersecurity04:25 Transitioning from Military to Industry11:32 Identifying Problems in Data Security16:00 The Challenges of Data Management in Organizations23:58 The Challenge of Data Classification26:59 Understanding Context in Data Security29:44 Adaptive Learning in AI Solutions32:22 Proactive Risk Mitigation Strategies34:57 Integrating Data Security Across Platforms37:33 The Future of Data Security SolutionsBonfy ACS is a next-gen DLP platform built for the AI era, combining contextual intelligence and adaptive remediation to secure sensitive data and enable AI innovation at scale. With high accuracy and out-of-the-box policies, it delivers fast time to value while reducing false alerts and investigation overhead. Trusted by regulated organizations, Bonfy ensures compliance and integrates seamlessly with Microsoft 365, Salesforce, Slack, and Google Workspace.Speaker: Gidi Cohen, CEO and Co-Founder of Bonfy.AIhttps://www.bonfy.ai/Inspiring Tech Leaders - The Technology PodcastInterviews with Tech Leaders and insights on the latest emerging technology trends.Listen on: Apple Podcasts SpotifyBonfy.aiBonfy ACS is a next-gen DLP platform built for the AI era. Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Support the showFollow the Podcast on Social Media! Tesla Referral Code: https://ts.la/joseph675128 YouTube: https://www.youtube.com/@securityunfilteredpodcast Instagram: https://www.instagram.com/secunfpodcast/Twitter: https://twitter.com/SecUnfPodcast Affiliates➡️ OffGrid Faraday Bags: https://offgrid.co/?ref=gabzvajh➡️ OffGrid Coupon Code: JOE➡️ Unplugged Phone: https://unplugged.com/Unplugged's UP Phone - The performance you expect, with the privacy you deserve. Meet the alternative. Use Code UNFILTERED at checkout*See terms and conditions at affiliated webpages. Offers are subject to change. These are affiliated/paid promotions.

The Export-Import Bank of the United States (EXIM) facilitates trades of exports of goods and services and, in doing so, deals with massive troves of data. From the Billington Cybersecurity Summit, EXIM CISO, Chief Privacy Officer, and Deputy Chief AI Officer Darren Death tells CyberCast that his agency is centralizing data about user access and behavior to detect potential cyber threats. Death says that balancing cybersecurity with privacy remains a challenge, especially in complex IT ecosystems involving financial institutions. He stresses the need to “shift left” by embedding privacy and security requirements early in the development lifecycle and include business leaders in conversations about cybersecurity, privacy and usability. He also says that the EXIM is using generative AI to simulate incident response scenarios, escalating threats to test team readiness. Death adds that EXIM is positioning AI as a force multiplier rather than a job threat.  

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.    

Welcome to another insightful episode of CISO Tradecraft! In this episode, host G Mark Hardy engages with Aimee Cardwell, an accomplished cybersecurity expert with an impressive portfolio including UnitedHealth Group, AMEX, eBay, and more. Tune in as they dive deep into the increasing concerns of privacy, the evolving role of AI in cybersecurity, and the importance of data governance. Learn practical strategies for managing the complexities of AI and privacy, explore the intersections between cybersecurity and privacy, and get invaluable tips for aspiring CISOs. Don't miss this episode packed with expert advice and forward-thinking perspectives! Aimee Cardwell's Linkedin - https://www.linkedin.com/in/acardwell/ Chapters 01:07 Guest Background and Career Journey 03:00 Cybersecurity and Privacy Integration 08:04 AI's Impact on Cybersecurity and Privacy 12:32 Data Retention Challenges and Solutions 17:56 Improving Data Visibility 19:28 GDPR Compliance and Data Breaches 19:55 Challenges of Data Management in Large Enterprises 21:02 AI and Cloud Governance 22:52 Encouraging AI Literacy in the Workplace 25:39 AI Policy and Legal Protections 28:56 AI's Limitations and Risks 31:48 The Importance of AI Literacy Across Functions 35:23 Final Thoughts and Advice for CISOs

The Pure Report welcomes Anthony Nocentino, Sr. Principal Field Solution Architect, to delve into the future of databases and data management. This episode looks at the explosive growth of relational databases and the impact of SQL Server 2025, Oracle 23ai, and AI-driven demands. We explore how Pure Storage is not just keeping pace with database growth but actively simplifying management, scaling, and protection, moving beyond foundational support to offer operational freedom for DBAs and infrastructure teams. Anthony tackles the pressing challenges faced by database environments today, including fragmented storage infrastructure, manual provisioning, and the complexities of compliance, disaster recovery, and hybrid cloud strategies. Anthony sheds light on how these issues contribute to real-world burnout among DBAs and infra team members. The discussion will also cover the evolving roles of these professionals as they increasingly become platform performance engineers, cloud strategists, and data ops troubleshooters in a world of multiple database engines and unpredictable resource needs driven by AI workloads. Hear about how Pure's vision for the Enterprise Data Cloud connects to database operations, including key announcements from our Accelerate Vegas and NYC events. We dive into how Pure Fusion with workflow templates and Pure1 offers intelligent, AI-powered workload and resource management, automated policy-based provisioning, and a unified single control plane across on-prem, cloud, and hybrid environments. The episode also explores the implications for enterprise-ready storage with the FlashArray platform family, showcasing how products like FA//XL, FA//X, FA//C, and FA//ST simplify workload expansion and provide significant performance benefits. Finally, we'll get Anthony's "Hot Takes" on critical DBA tasks, dream fixes for database environments, and common myths he'd like to debunk, all while looking forward to Pure's presence at Oracle AI World.

Today host Edward Wagoner sits down with Peter Ankerstjerne, CEO of Planon, to discuss his journey as a global influencer in facility management, emphasizing the importance of technology, data management and community in the industry. He shares insights on adapting to new technologies, the role of AI and the need for a proper data strategy. Peter also highlights the value of being part of a global community like IFMA and encourages young professionals to consider careers in facility management.00:00 The Revolution of AI in Facility Management00:28 Introduction to Connected FM Podcast01:00 Meet the Influencer: Edward Wagoner01:18 Defining an IFMA Global Influencer01:42 Introducing Peter Ankerstjerne03:23 Peter's Perspective on Technology in FM05:17 Adapting to Technological Changes11:53 The Importance of Data Management13:51 Exploring Other Technologies Beyond AI18:02 The Role of IFMA and Global Networking27:27 Peter's Personal Insights and Advice31:05 Closing Remarks and FarewellSponsor:This episode is sponsored by ODP Business Solutions! Connect with Us:LinkedIn: https://www.linkedin.com/company/ifmaFacebook: https://www.facebook.com/InternationalFacilityManagementAssociation/Twitter: https://twitter.com/IFMAInstagram: https://www.instagram.com/ifma_hq/YouTube: https://youtube.com/ifmaglobalVisit us at https://ifma.org

AI luminary and former Group CEO of Technology at Accenture, author Paul Daugherty, offers a hard-hitting take on enterprise AI and consumer-grade artificial intelligence on CXOTalk episode 895.He examines what's working, where companies stall with their AI transformation, and what new technology trends leaders should monitor. Peer into the future of AI and see the importance of responsible AI development.

- 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