Podcasts about Data governance

Are you struggling to eliminate friction as data regulations heighten? Noah Levine and Adrian Bolosan join the conversation to discuss cost-efficient innovations in data modernization. Learn from Databricks experts about the zero data movement and the future of walled gardens. Thanks for listening! Follow us on Twitter and Instagram or find us on Facebook.

What if AI could level the playing field in higher education? This episode of Trending in Education explores that very question with Cecilia Marshall, Chief Advancement Officer at Ed Advancement. Host Mike Palmer and Marshall delve into the complex and compelling potential of AI, focusing on its impact on Historically Black Colleges and Universities (HBCUs) and other institutions serving under-resourced students. Marshall, whose journey winds from corporate advertising to the heart of educational advocacy, shares Ed Advancement's vital work: strengthening mission-driven colleges to fuel social mobility. The conversation moves beyond the hype surrounding AI to address the crucial need for ethical implementation, data sovereignty, and genuine collaboration with students and schools. We discover how AI enablement—building robust data infrastructure—can unlock personalized learning, streamline advising, and ultimately drive student success. Marshall doesn't shy away from the challenges: algorithmic bias, the digital divide, and the ever-present need for AI literacy. This isn't just a discussion about technology; it's a story about equity, access, and the future of learning. Key Takeaways: AI enablement, focusing on data governance, is essential for leveraging AI tools. AI has the potential to create personalized pathways for students, improving advising and career planning. Addressing the ethical implications of AI, including bias, is crucial for equitable implementation. AI can potentially close the divide between well-resourced and under-resourced institutions. Institutions need to prioritize AI literacy and dexterity for both students and staff. Subscribe to Trending in Education wherever you get your podcasts. Join the conversation shaping what's next in education. Timestamps 00:00 Introduction and Guest Welcome 01:03 Cecilia Marshall's Professional Journey 02:51 About Ed Advancement 04:29 AI in Higher Education 07:51 Challenges and Opportunities with AI 09:52 AI Enablement and Data Utilization 12:00 Personalized Pathways and Student Success 16:14 AI Literacy and Ethical Considerations 20:33 Navigating Overwhelming Website Content 21:30 The Importance of Personalization for Students 22:45 Challenges Faced by HBCUs 24:55 Data Governance and Integration 27:26 IT Talent and Resource Allocation 32:11 Future of AI in Education 34:06 Personal Reflections and Career Advice 36:22 Concluding Thoughts and Takeaways

Efficient data and AI are often perceived as the end goal for businesses. The truth is that they're just the tools that get you to the finish line. In this episode of Bringing Data and AI to Life, our host Nick Dobbins, Worldwide VP and Field CTO at Informatica, sits with Jonas Christensen, Head of AI Innovation at SkillsGPT and Chief AI Officer at the Australian Regional AI Network, for a deep dive into the impending business revolution, backed by data and AI. From navigating organizational resistance to prioritizing AI initiatives, Jonas shares invaluable insights on turning data challenges into business opportunities, applying these tools effectively and why clean data is the need of the hour. AI and data can be the quick fix solution for business efficiency. But it doesn't have to stop there; if used smartly, they can bolster the growth of your business exponentially.

(05:46) Brought to you by Swimm.io.⁠⁠⁠⁠⁠⁠⁠⁠Start modernizing your mainframe faster with ⁠⁠Swimm⁠⁠.Understand the what, why, and how of your mainframe code.Use AI to uncover critical code insights for seamless migration, refactoring, or system replacement.Feeling uneasy about how your personal data is used, and wondering if companies are doing enough to protect it?In this episode, Katharine Jarmul, author of “Practical Data Privacy,” dives deep into one of the most critical and rapidly evolving topics today. Discover how data privacy impacts you as a user and what organizations should be doing to protect your information responsibly. Learn why simply blaming users isn't the answer and how we can build a more trustworthy technological future.Key topics discussed:Understanding Data Privacy: The meaning of data privacy and how it links to autonomy, trust, and choiceMore Than Just PII: The full scope of sensitive data needing protectionThe “Spying” Phone Feeling: How too much data collection can be used to infer sensitive detailsOrganizational Responsibility: Shifting data protection burden from users to companies building and deploying technologyPrivacy by Design: Embedding privacy into tech right from the startEssential Data Governance: Why knowing your data is key to privacyPractical Privacy Techniques: Pseudonymization, anonymization, data masking, and morePrivacy Enhancing Technologies: Exploring tools like differential privacy, federated learning, and encrypted computationAI & Privacy Challenges: Using AI responsibly with sensitive informationNavigating Privacy Laws: Understanding GDPR, data sovereignty, and global regulationsBuilding a Privacy Culture: Fostering a culture of learning, psychological safety, and risk awareness around privacyTune in to learn how we can build a safer, more responsible, and trustworthy digital future for everyone.  Timestamps:(01:20) Career Turning Points(02:14) Data Privacy Landscape(07:45) PII (Personally Identifiable Information)(11:33) Data Privacy Risk in Current Technologies(14:13) Data Utility vs Privacy(19:01) Privacy by Design(24:19) Data Governance(29:06) Retention Schedule(31:10) Data Privacy Practices & Techniques(34:09) Privacy Enhancing Technologies(38:52) Fostering Data Privacy Practice & Culture(47:05) The Legal Aspects of Data Privacy(51:10) AI and Data Privacy(56:08) 3 Tech Lead Wisdom_____Katharine Jarmul's BioKatharine Jarmul is a Principal Data Scientist at Thoughtworks Germany and author of the recent O'Reilly book Practical Data Privacy . Previously, she has held numerous roles at large companies and startups in the US and Germany, implementing data processing and machine learning systems with a focus on reliability, testability, privacy and security.She is a passionate and internationally recognized data scientist, programmer, and lecturer. Katharine is also a frequent keynote speaker at international software and AI conferences.Follow Katharine:LinkedIn – linkedin.com/in/katharinejarmulNewsletter – https://probablyprivate.comYouTube – @ProbablyPrivate

In this episode of Change Leader Insights, Jessica Crow speaks with Abhijit Patharkar, an entrepreneur and academic, about how artificial intelligence (AI)—a transformational change impacting businesses worldwide—impacts organizational culture and data governance. A serial entrepreneur and Columbia University alum, Abhijit grew up immersed in his family's retail business, giving him an intimate understanding of the industry's challenges. With an engineering background and a Staff Engineer role at VMware's Office of the CTO, he developed a deep love for solving complex problems using technology. Abhijit has set out to bridge the gap between traditional retail and cutting-edge AI-powered solutions. During the conversation, Jessica and Abhijit discussed data governance and AI to understand whether an organization is prepared to undergo the business transformation and changes associated with implementing AI. Abhijit explained that data governance is a critical factor for AI-readiness. In describing how to prepare from a governance perspective, ”Governance is based on three pillars. One is data quality, one is security, and the third is availability.” Highlights from the conversation include: ☑️ Understanding the importance of a unified data approach when leveraging AI for tools to be most useful for employees ☑️ The gap in data governance across organizations and how to address it to better prepare an organization for technological transformation ☑️ Practical steps for change management in AI adoption If you want to learn more about AI and organizational culture change, be sure to tune in and hear what Abhijit has to say!

In an era where insurance must do more than protect—it must empower—how are insurers rethinking the role of data, compliance, and design?In this episode of Building Tomorrow's Insurer, host and Kanopi CEO Nigel Fellowes-Freeman is joined by Aurora Voss, co-founder and CEO of Zemble, to explore how insurers can move from monolithic systems to modular, intelligent experiences. From reimagining claims workflows to embedding governance into the fabric of insurance tech, Aurora shares a bold and deeply practical vision for the future.Tune in as Aurora unpacks:Why data isn't just for assessing risk—it's the foundation for stronger customer relationshipsHow embedded governance can unlock innovation rather than restrict itWhat it takes to scale compliance in a digital-first worldThe “Zemble Manifesto” and how it's reshaping how insurers work and thinkHer founder journey—from venture capital to building insurance infrastructure from the ground upWhether you're rethinking your claims stack or designing the next-gen data layer, this is a must-listen for insurance leaders ready to break the mold.

Unify and secure your data—no matter where it lives—without sacrificing control using OneLake security, part of Microsoft Fabric. With granular permissions down to the row, column, and table level, you can confidently manage access across engines like Power BI, Spark, and T-SQL, all from one place. Discover, label, and govern your data with clarity using the integrated OneLake catalog that surfaces the right items fast. Aaron Merrill, Microsoft Fabric Principal Program Manager, shows how you can stay in control, from security to discoverability—owning, sharing, and protecting data on your terms. ► QUICK LINKS: 00:00 - OneLake & Microsoft Fabric core concepts 01:28 - Table level security 02:11 - Column level security 03:06 - Power BI report 03:28 - Row level security 04:23 - Data classification options 05:19 - OneLake catalog 06:22 - View and manage data 06:48 - Governance 07:36 - Microsoft Fabric integration 07:59 - Wrap up ► Link References Check out our blog at https://aka.ms/OneLakeSecurity Sign up for a 60-day free trial at https://fabric.microsoft.com ► Unfamiliar with Microsoft Mechanics? As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics  

Mary Koburi is a dynamic marketing visionary and branding expert known for delivering impactful results across multiple channels. As a cross-functional leader, she excels at building and executing strategies that drive measurable success for businesses of all sizes. Mary blends creative insight with data-driven decision-making to craft campaigns that resonate and reinforce brand identity. Her passion for innovation and commitment to excellence consistently fuel strategies that boost awareness, engagement, and conversions. Website: https://birdseyesecurity.com/  LinkedIn: https://www.linkedin.com/in/marykoburi/  YouTube: https://www.youtube.com/channel/UCbsVwDxb5lJkVU41ripC3Og  Instagram: https://www.instagram.com/birdseyesecuritysolutions  Facebook: https://www.facebook.com/profile.php?id=100063849481497#    Kim Tran is an experienced marketing and business development leader, currently heading up efforts at Gimmal, a B2B SaaS company specializing in data and information governance. With over 14 years of experience in brand strategy and growth marketing, she has worked across startups, scale-ups, and Fortune 500 companies. A former aspiring lawyer turned tech marketer, Kim brings deep expertise in highly regulated industries such as legal, digital banking, ed tech, and DNS security. She's known for building cross-functional teams and driving revenue growth through strategic market expansion, product positioning, and people-first campaigns. Website: https://gimmal.com/  LinkedIn: https://www.linkedin.com/in/kimtrandc  YouTube: https://www.youtube.com/@GimmalSolutions    In this episode, we discuss marketing strategies, AI impact, and future trends. Learn from industry experts Mary and Kim.    Apply to join our marketing mastermind group: https://notypicalmoments.typeform.com/to/hWLDNgjz   Follow No Typical Moments at: Website: https://notypicalmoments.com/ LinkedIn: https://www.linkedin.com/company/no-typical-moments-llc/ YouTube: https://www.youtube.com/channel/UC4G7csw9j7zpjdASvpMzqUA Instagram: https://www.instagram.com/notypicalmoments Facebook: https://www.facebook.com/NTMoments

Mary Koburi is a dynamic marketing visionary and branding expert known for delivering impactful results across multiple channels. As a cross-functional leader, she excels at building and executing strategies that drive measurable success for businesses of all sizes. Mary blends creative insight with data-driven decision-making to craft campaigns that resonate and reinforce brand identity. Her passion for innovation and commitment to excellence consistently fuel strategies that boost awareness, engagement, and conversions. Website: https://birdseyesecurity.com/  LinkedIn: https://www.linkedin.com/in/marykoburi/  YouTube: https://www.youtube.com/channel/UCbsVwDxb5lJkVU41ripC3Og  Instagram: https://www.instagram.com/birdseyesecuritysolutions  Facebook: https://www.facebook.com/profile.php?id=100063849481497#    Kim Tran is an experienced marketing and business development leader, currently heading up efforts at Gimmal, a B2B SaaS company specializing in data and information governance. With over 14 years of experience in brand strategy and growth marketing, she has worked across startups, scale-ups, and Fortune 500 companies. A former aspiring lawyer turned tech marketer, Kim brings deep expertise in highly regulated industries such as legal, digital banking, ed tech, and DNS security. She's known for building cross-functional teams and driving revenue growth through strategic market expansion, product positioning, and people-first campaigns. Website: https://gimmal.com/  LinkedIn: https://www.linkedin.com/in/kimtrandc  YouTube: https://www.youtube.com/@GimmalSolutions    In this episode, we discuss marketing strategies, AI impact, and future trends. Learn from industry experts Mary and Kim.    Apply to join our marketing mastermind group: https://notypicalmoments.typeform.com/to/hWLDNgjz   Follow No Typical Moments at: Website: https://notypicalmoments.com/ LinkedIn: https://www.linkedin.com/company/no-typical-moments-llc/ YouTube: https://www.youtube.com/channel/UC4G7csw9j7zpjdASvpMzqUA Instagram: https://www.instagram.com/notypicalmoments Facebook: https://www.facebook.com/NTMoments

«Sometimes it feels like you have CIOs going on Julia Robe's in Pretty Woman spending sprees.»Have you ever wondered why data governance often becomes so complicated that no one really understands what it's about?In this episode, we take a refreshing deep dive with data expert Rasmus Bang, who shows how to make data governance simple and relevant.We explore the delicate art of engaging middle management, which is often the key to successful implementation of data governance. Through data governance committees and a focus on concrete business challenges, you can create both transparency and accountability that drive real change. Rasmus also explains how to bridge the gap between process excellence and data governance—how these disciplines can reinforce each other rather than compete.Here are our hosts' key takeaways:The level of regulation in your industry determines your approach to. Data governance.Spent time in exploring what is necessary and relevant from a business point of view.Identify pinpoints you have today, to tackle them beyond compliance. This is where you show your value to the business.Storytelling is essential in data governance.Be able to see and communicate how your work impacts the business.Data governance is a peoples game.How to start your initiative?Do analysis to translate your data pain points to business pain points.Assess the size and complexity of the challenge ahead.Adjust your lingo to make it understandable for the business.Dont be dogmatic - use existing structures.You need to adapt to your environment instead of hoping that your environment adapts to you.Make sure you find a strategy to talk to the conflicting priorities of middle management.Watch out for the experienced professionals- they can become bottlenecks.Make the value proposition understandable for everyone, also talking to these priorities on middle management.How can my department become better, more efficient, etc.?Include middle management representatives activity around the data itself.Process ExcellenceProcesses are seen as a precondition, while they are actually a result of the organizations culture, organization and people.Process owners often have a broad network in the organization and are therefore important to make data governance work.«If you do data governance right you get de facto business process ownership.» - you get the right people in place.Processes can give you a repeatable structure that is foundational for your success in e.g. AI.Have an approach and build a model that your business stakeholders can recognize and see themselves in.Dont focus too much on theory. Focus on what matters for your business and for your stakeholders. It needs to resonate.Dont try to fix a complex problem with simple solutions.«There is a difference between quick fixes and fixing small things.»

Georgia Voudoulaki is Senior Legal Counsel at Bosch, certified Compliance Officer, and adjunct professor at the University of Applied Sciences in Ludwigsburg and the Cooperative State University of Baden-Württemberg in Germany. In addition to her legal and academic roles, Georgia regularly publishes articles in leading legal journals and magazines, contributing valuable insights to the evolving conversation around compliance, digital innovation, and responsible AI.  References: Georgia Voudoulaki on LinkedIn University of Applied Sciences Ludwigsburg Baden-Wuerttemberg Cooperative State University (DHBW)  

In this episode of the Tyler Tech Podcast, we examine how the evolving tech landscape, AI adoption, and changing organizational demands are reshaping state and local government.Guest host Bob Ragsdale, director of analyst relations at Tyler, sits down with Dustin Haisler, president of e.Republic, for a forward-looking conversation on the trends shaping public sector innovation. Drawing from his insights at the Center for Digital Government's Beyond the Beltway conference, Dustin explores how governments are managing technical debt, building enterprise technology strategies, and adapting to emerging tools and innovations shaping public sector operations.Dustin also discusses how agencies can embrace continuous improvement, foster a culture of innovation, and meet rising expectations from residents. From workforce reskilling to the importance of data governance and enterprise solutions, this episode is full of practical guidance for public sector leaders charting a course through uncertainty.Tune in to hear how IT leaders and mission owners alike can seize this moment to reimagine service delivery — and why there's never been a more exciting time to work in government.This episode also highlights Tyler Connect 2025, our annual conference designed to bring public sector professionals together to empower, collaborate, and imagine. Join us in San Antonio, Texas, from May 11-14, 2025, for product training, networking, and inspiration to help drive your organization forward. Early registration is now open — visit tylertech.com/connect to secure your spot!Blog: Let's Empower, Collaborate, and Imagine at Connect 2025!And learn more about the topics discussed in this episode with these resources:Download: Building a Resilient GovernmentDownload: A Digital Guide to Modernizing the Resident ExperienceDownload: Revolutionizing the Government Workforce With AIDownload: Digital Access and Accessibility in the Resident ExperienceDownload: How to Create a Unified Digital Payment ExperienceBlog: Partnering With Communities to Build ResilienceBlog: Increase Community Resilience With Modern Payment SystemsBlog: How Cloud-Based Solutions Expand Access to State ServicesListen to other episodes of the podcast.Let us know what you think about the Tyler Tech Podcast in this survey!

In dieser Folge spricht Carsten Bange mit Britta Daffner über die Entwicklung und Umsetzung der KI-Strategie bei O2 Telefónica.

Episode 79 will be of specific interest to audit committees, investors, and companies, but also anyone in business today that would like to hear our guests' important work in the world of voluntary reporting on data governance, cybersecurity, and AI.Jordan Famularo is a strategist and researcher with a broad range of analytical and convening experience in the areas of sustainability, investing, AI ethics, corporate responsibility, human rights, data governance, cybersecurity, digital inclusion, and other topics in responsible tech and serves as a consultant for corporate reporters and investors. Westgate Executive BrandingOur Main Event!Listen on SpotifyListen on Apple Podcasts

Think database skills are dead in the Salesforce era? Think again. In this episode of DevOps Diaries, Jack McCurdy talks to Chris Starleaf of Zinc Partners, who argues they're more relevant than ever. Listen in as Chris shares insights from his Salesforce journey, exploring why tech pros need sales skills, the crucial balance between quick wins and long-term strategy, and the vital role of data governance. They tackle the generalist vs. specialist debate and discuss how strong leadership and team development drive success. Want to build better data strategies and lead more effectively in the Salesforce ecosystem? Don't miss this episode!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/4iCnas2Subscribe to Gearset's YouTube channel: https://grst.co/4cTAAxmLinkedIn: https://www.linkedin.com/company/gearsetX/Twitter: https://x.com/GearsetHQFacebook: https://www.facebook.com/gearsethqAbout 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/4iKysKWChapters00:00 Introduction to Chris Starleaf and His Journey03:02 The Relevance of Database Management in Salesforce06:00 Sales Skills for Tech Professionals09:12 Understanding Different Roles in Salesforce11:52 Balancing Quick Wins with Long-Term Success14:59 The Importance of Data Governance18:09 The Role of Generalists vs. Specialists20:58 Fostering Pride in Data Management23:55 Building a Data Governance Strategy27:03 Team Leadership and Development29:53 Creating Efficient Processes33:13 Navigating the Salesforce Ecosystem36:08 Conclusion and Contact Information

Send us a textDanielle Bushen, Global Head of People & Culture Technology Strategy at Sanofi, joins us this episode to discuss HR data governance. She explains what “data governance” actually means, outlines common data governance challenges HR teams face, and offers practical first steps toward better governance practices. [0:00] IntroductionWelcome, Danielle!Today's Topic: Demystifying HR Data Governance[5:54] What does “data governance” actually mean?Understanding transactional vs. analytical HR dataWhy cross-team interoperability and collaboration are key[16:58] What are common HR data governance challenges?Navigating the complexity of balancing multiple jurisdictionsHow the lack of standardized practices creates governance headaches[27:15] Where do you start your data governance journey?Establishing clear data ownershipWhen to address urgent issues before tackling comprehensive data cleanup[36:28] ClosingThanks for listening!Quick Quote“[Data governance] is owned by people, enabled by processes, and supported by technology.”Contacts: Danielle's LinkedInDavid's LinkedInDwight's LinkedInEmail us!For more HR Data Labs®, enjoy the HR Data Labs Brown Bag Lunch Hours every Friday at 2:00PM-2:30PM EST.  Check it out here: https://hrdatalabs.com/brown-bag-lunch/Production by Affogato Media

Jonathan Lucenay and Wally Burchfield join the podcast to discuss how identifying and focusing on active shoppers and their intent signals can drive better experiences for both the consumer and the brand – showing a 5:1 return and increased profits on a transactional basis.Thanks for listening! Follow us on Twitter and Instagram or find us on Facebook.

This blog defines the governance requirements that streaming data pipelines must meet to make artificial intelligence/machine learning (AI/ML) initiatives successful. Published at: https://www.eckerson.com/articles/streaming-data-governance-three-must-have-requirements-to-support-ai-ml-innovation

In this episode of The Data Engineering Show, the bros sit with Lisa Cao, Product Manager at DataStrato, to explore data catalogs and Apache Gravitino, a unified metadata lake used to manage access and perform data governance for all data sources. They discuss data catalogs and how they refine the data management process.

We all love to talk strategy - especially tech strategy! But what happens when it's time to move from planning to execution within our associations? Join us for Tech Strategy in Action, a three-part series where we dive into exactly that.  In Part 1, we'll explore how RAPS developed and implemented an outstanding data strategy, led by our guest Wendy Sahli, Director of Technology at RAPS. After a quick discussion on the fundamentals of data strategy and its role in a strong technology ecosystem, we'll take a deep dive into RAPS journey – from where they started when Wendy joined, how their data strategy evolved, where they are today, and what exciting things are on the horizon. Wendy holds a masterclass in developing a data strategy and executing it to propel technology forward! Hosted by Norma Castrejon, Strategic Consultant at DelCor Technology Solutions and Rhoni Rakos, Lead Consultant, Digital Strategy at Ellipsis Partners.  Make sure to follow TPAC on LinkedIn: https://www.linkedin.com/company/asae-tpac/ 

Try Fellow's AI Meeting Copilot - 90 days FREE - fellow.app/cooAI and Privacy: Navigating the EU's New AI Act with Flick FisherIn this episode of Between Two COOs, host Michael Koenig welcomes back Flick Fisher, an expert on EU privacy law. They dive deep into the newly enacted EU Artificial Intelligence Act and its implications for businesses globally. They discuss compliance challenges, prohibited AI practices, and the potential geopolitical impact of AI regulation. For leaders and operators navigating AI in business, this episode provides crucial insights into managing AI technology within regulatory frameworks.00:00 Introduction to Fellow and AI Meeting Assistant01:01 Introduction to Between Two COOs Episode02:08 What is the EU's AI Act?03:42 Prohibited AI Practices in the EU07:46 Enforcement and Compliance Challenges12:18 US vs EU: Regulatory Landscape29:58 Impact on Companies and Consumers31:55 Future of AI RegulationBetween Two COO's - https://betweentwocoos.com Between Two COO's Episode Michael Koenig on LinkedInFlick Fisher on LinkedInFlick on Data Privacy and GDPR on Between Two COO'sMore on Flick's take of the EU's AI Act

AI is rapidly emerging as a significant revenue driver for managed service providers (MSPs), with a notable increase in expectations for AI-related revenue. According to recent data, 53% of MSPs anticipate substantial AI revenue this year, a significant rise from 32% the previous year. This shift is attributed to a growing understanding of AI's potential, particularly following the rise of generative AI technologies like ChatGPT. While some companies are genuinely building capabilities, others may still be caught up in the hype. The conversation also touches on the importance of integrating AI into existing services, such as cybersecurity and data management, as MSPs look to monetize these technologies.On the flip side, adversaries are also leveraging AI to enhance their tactics, particularly in social engineering and phishing campaigns. MacKenzie Brown from Blackpoint Cyber highlights that threat actors are using AI to improve their operational effectiveness, making their attacks more sophisticated. This raises concerns about the security posture of organizations that may not have robust data governance and identity management practices in place. As MSPs begin to adopt AI technologies, they must also ensure that their clients have the necessary security measures to protect against these evolving threats.The discussion further explores the ongoing challenges in cybersecurity, particularly regarding basic security practices that remain unaddressed. Misconfigurations in cloud environments continue to be a significant vulnerability, and many organizations still struggle with fundamental cybersecurity measures. Carolyn April emphasizes that while cybersecurity remains a critical revenue driver for MSPs, many are still operating at a basic level rather than advancing to more sophisticated security solutions. This gap presents both a challenge and an opportunity for MSPs to enhance their service offerings.Finally, the conversation touches on the implications of recent developments in cybersecurity policy and enforcement. The discussion highlights the importance of having consequences for breaches of cybersecurity laws, as a lack of enforcement can undermine the efforts of solution providers. Both MacKenzie and Carolyn agree that the current state of cybersecurity policy is crucial for the health of the industry, as it impacts how MSPs can effectively sell their services. The episode concludes with insights on the need for better education and talent development in the cybersecurity field to address these ongoing challenges. All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessof.tech

The UK Humanitarian Innovation Hub (UKHIH), Elrha, and Humanitarian AI Today bring panelists together to discuss the subject of AI governance in connection with humanitarian applications of artificial intelligence. Representing the humanitarian, academic, regulatory and private sectors, Eugenia Olliaro, former Responsible Data for Children Lead at UNICEF, Stefaan Verhulst, Co-founder of NYU's GovLab, and Meeri Haataja, CEO of Saidot, provide their views and insight on AI governance and on AI governance in humanitarian action. Next, representing the technology and private sectors, Agata Ferretti, AI an Data Governance Expert with IBM, and Aparna Bhushan, Data Governance and Digital Policy Advisor, discuss how initiatives like the AI Alliance are approaching AI governance and provide unique insight on the role of open-source AI in promoting transparency and trust, and the importance of addressing the digital divide and ensuring that AI works for everyone. Panelists explain why it's important for humanitarian actors to become aware of broader governance conversations connected with AI. They help to outline what AI governance is about, they share how their different teams are approaching AI governance and touch on the challenges of regulating and deploying AI and the challenges of connecting with and engaging communities in humanitarian settings, and the need for adaptive and context-aware governance approaches, real accountability, and global inclusivity in AI policy and governance. Eugenia, Meeri, Stefaan, Agata, and Aparna provide valuable insight on AI governance from their different vantage points and join together in advocating for greater engagement around AI governance. The podcast episode, guest-hosted by Brent Phillips from Humanitarian AI Today, is part of a six-part panel discussion series sponsored and produced by Humanitarian AI Today in collaboration with the UK Humanitarian Innovation Hub (UKHIH) and Elrha, with funding from UK International Development from the UK government. The series examines critical aspects of humanitarian applications of artificial intelligence. More information about this episode, its focus, and upcoming discussions can be found by subscribing to the UK Humanitarian Innovation Hub and Elrha's new AI newsletter: http://ukhih.org/newsletter.

Episode 805: Insurance is an increasingly data driven industry, but an effective data governance plan can only be as good as a company's data is accurate. On today's Unscripted, Neil Alldredge, president and CEO of NAMIC, talks with Gwen Thomas, data strategist and founder of the Data Governance Institute,  about what it means to have good data hygiene.This episode of the Insurance Uncovered is sponsored by Holborn.

Rules aren't always meant to be broken; especially when it comes to AI. In this episode of Bringing Data and AI to Life, host and VP of Data Governance and Data Integration Solution Sales at Informatica, Amy Horowitz, welcomes Gaurav Pathak, VP of Product Management for AI and Metadata at Informatica to explore the critical balance between AI advancement and responsible governance. Together, they open the doors into the 'wild west' of AI model adoption, the importance of establishing clear data policies, and how organizations can navigate the global AI race while maintaining security. If you're looking for ways to balance governance and innovation for AI-progress, this is the conversation for you. Tune in to part 2 of the conversation to find out why governance isn't about saying 'no,' but about enabling faster, more secure AI innovation across your enterprise.

Wed, 19 Mar 2025 06:30:00 +0000 https://tap.podigee.io/54-marin-jovanovic 68189a919872601cd41313f414e788d9 Guest: Marin Jovanovic Bio: Marin Jovanovic is an Associate Professor at the Department of Operations Management at Copenhagen Business School and a Visiting Scholar at Luleå University of Technology. He holds dual Ph.D. degrees in industrial economics and management from the KTH Royal Institute of Technology and in industrial management from the Universidad Politécnica de Madrid (cum laude). His research focuses on the digital transformation of manufacturing, maritime, and healthcare sectors, platform ecosystems in the business-to-business (B2B) context, and artificial intelligence. He has published extensively in journals such as Organization Science, Journal of Product Innovation Management, Technovation, and Industrial Marketing Management. He also serves on the editorial boards of Journal of Product Innovation Management and Journal of Business Research. Summary: In this episode, Marin Jovanovic discusses the evolution and characteristics of B2B platforms, contrasting them with B2C platforms. The conversation covers the peculiarities of B2B platforms, including data governance, network effects, transaction value, and the complexity of governance in multi-firm ecosystems. Marin also highlights the growing importance of data utilization, modular structures, and the emergence of generative ecosystems and meta-organizations in the B2B space. The discussion further explores the potential of AI in conjunction with platforms, particularly in the medical sector. Key Discussion Points: Definition of Platforms in the B2B Context: Marin shares his journey into platform research, transitioning from servitization to industrial platforms. Main Findings and Peculiarities of B2B Platforms: The discussion highlights differences in network effects, the higher value but lower volume of transactions, and the increased awareness and demands of participating companies compared to B2C platforms. Data Governance in B2B Platforms: Key challenges include the complexities of data governance, revenue sharing, and the project-specific nature of agreements. The Role of Humans in Matchmaking: The conversation explores whether highly specific B2B transactions might require more human intervention in matchmaking rather than relying solely on algorithms. Cyber-Physical Integration: The importance of merging information systems and management in the context of autonomous solutions is emphasized. Challenges in Explaining B2B Platform Models: The barriers in conveying the concepts of B2B platforms and ecosystems to managers, using the example of 5G technology, are discussed. Modularity and Generative Ecosystems: The significance of modularity in both architecture and management for fostering flexible and reconfigurable B2B ecosystems is highlighted. Open Innovation and Open Organization: The discussion connects B2B platforms to concepts of open innovation and broader organizational collaboration. Microservices and Ecosystem Envelopment: The relevance of microservices for customization and the increasing convergence of platforms into "platforms of platforms" or meta-organizations is explored. Data Monetization in B2B: The potential for companies to sell and leverage data, drawing parallels between B2B and B2C models with examples like smart cities and business analytics, is discussed. Physical Assets as Pivots for B2B Platforms: The idea that valuable physical assets owned by companies can serve as the core of B2B platforms, using the concept of "solution enabler platforms," is examined. Different types of B2B platforms based on control and decision rights, such as consortium platforms and algorithmic governance, are also introduced. Future Research Focus on AI and Platforms: Marin shares his current research interest in the application of AI in specific sectors like medical technology and how AI solutions interact with existing hospital systems and potentially aggregate on platforms. Publications & Projects Mentioned: Porter, M. E., & Heppelmann, J. E. (2014). How smart, connected products are transforming competition. Harvard Business Review, 92(11), 64–88. Jovanovic, M., Sjödin, D., & Parida, V. (2021). Co-evolution of platform architecture, platform services, and platform governance: Expanding the platform value of industrial digital platforms. Technovation, 102218. doi:10.1016/j.technovation.2020.102218. Sjödin, D., Parida, V., Jovanovic, M., & Visnjic, I. (2020). Value creation and value capture alignment in business model innovation: A process view on outcome-based business models. Journal of Product Innovation Management, 37(2), 158–183. doi:10.1111/jpim.12516. Links: Marin Jovanovic's research blog: Industry Platforms Research. full no b2b platforms,industrial platforms Daniel Trabucchi, Tommaso Buganza and Philip Meier

Episode Topic In this episode of PayPod, we explore the future of financial data governance with Ahikam Kaufman, co-founder and CEO of Safebooks AI. As financial data management becomes more complex, businesses must ensure accuracy, compliance, and security in real time. Ahikam shares insights on how AI-powered automation is revolutionizing the industry, allowing enterprises to seamlessly validate and substantiate their financial data. From navigating large-scale transactions to ensuring financial integrity, this episode provides a deep dive into the evolving landscape of fintech and how Safebooks AI is pioneering change. Lessons You'll Learn Listeners will gain a better understanding of financial data governance and the challenges enterprises face in managing financial records across multiple platforms. Ahikam explains the role of AI in automating reconciliation, reducing errors, and improving financial oversight. He also shares insights into the entrepreneurial mindset, discussing the resilience and adaptability needed to thrive in fintech. Whether you're a CFO, startup founder, or fintech enthusiast, this episode offers valuable lessons on leveraging AI for financial compliance and making data-driven decisions with confidence. About Our Guest Ahikam Kaufman is a seasoned fintech entrepreneur and the co-founder and CEO of Safebooks AI. With a background that includes co-founding Check Inc. (now Intuit Mint Bills), Ahikam has been at the forefront of fintech innovation for over 15 years. His expertise in financial technology, AI-driven automation, and data integrity has helped transform how enterprises manage financial data. At Safebooks AI, he is leading efforts to bridge the gap between finance professionals and data experts, ensuring businesses have the tools to maintain financial accuracy and compliance at scale. Topics Covered This episode covers a wide range of topics, including the importance of financial data governance, how AI is reshaping financial reporting, and the challenges of scaling a fintech company. Ahikam shares his journey as a founder, the lessons he has learned from building successful startups, and the impact of AI on financial data security and compliance. We also discuss how businesses can maintain financial integrity while adapting to evolving regulatory standards. Tune in to discover how AI-powered solutions are helping enterprises streamline operations and reduce financial risks.  

Buckle up for a fascinating episode of the podcast with Aaron Shaffer of GM and Janet Cinfio of Acxiom. They examine fascinating aspects of data, privacy, data governance and partnerships needed to innovate marketing strategy and evolve an iconic brand in preparation for its next 100 years. Thanks for listening! Follow us on Twitter and Instagram or find us on Facebook.

Send us a text In this episode, we dive into the critical world of security data strategy with experts Aqsa Taylor and Justin Borland, authors of the upcoming book Applied Security Data Strategy: A Leader's Guide. Justin, a veteran of the Equifax breach, shares firsthand lessons from one of the biggest security incidents in history, while Aqsa explores her journey from electrical engineering to cloud security and the role of governance in data management. Together, they unpack the challenges of handling massive security data, the power of real-time analytics, and how Abstract Security's platform transforms data strategy with deduplication, normalization, and tiered storage. Perfect for CIOs, CSOs, and security pros looking to future-proof their organizations. Subscribe for more cybersecurity insights!Key Points Covered:Introduction to Aqsa Taylor and Justin Borland, emphasizing their expertise and new book.Justin's Equifax experience as a compelling narrative hook.Aqsa's background and insights on governance and cloud security.Abstract Security's innovative approach to data strategy (deduplication, real-time analytics, etc.).Target audience callout (CIOs, CSOs, security professionals) and a subscription prompt.Why this description? It's concise, highlights the episode's value, and uses action-oriented language to engage viewers. It balances technical appeal with accessibility for a broad cybersecurity audience. 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

In This Episode The future of open banking is being built by visionaries like Aaron Swenson, a fintech leader and "Solutioner" who has transformed financial data access, open banking, and governance. On this final episode of Breaking Banks' series from Fintech Xchange, powered by U.S. Bank, host Jason Henrichs dives into Aaron's story, vision and journey to date, spotlighting three key initiatives driving fintech innovation: Finicity – Revolutionizing open banking by giving individuals and businesses secure, high-quality access to financial data FDX (Financial Data Exchange) – Leading the charge for 1033 compliance and open banking standards, and ensuring seamless, permission-based data sharing across the financial ecosystem The Stena Center for Financial Technology – Bridging education and industry to accelerate fintech innovation and financial inclusion Aaron's problem-solving mindset and deep industry knowledge have made a lasting impact on the future of financial services. Listen to the compelling conversation to hear how these notable impacts are reshaping the fintech landscape, improving data usage and security, and driving smarter financial decision-making in financial services. https://www.youtube.com/watch?v=g7UyoDGpfFo

John Maytham is joined by John Giles, Managing Director and Digital, Data, and Tech Attorney at Michalsons Attorneys, to unpack the Protection of Personal Information Act (POPIA) and why data privacy matters now more than ever.See omnystudio.com/listener for privacy information.

In the third episode of our three-part series, UNC analytics director Greg Kuhnen is joined by his colleague Ram Rimal for a discussion about artificial intelligence must-haves.

Send Everyday AI and Jordan a text messageYour data is your moat. Everyone's got AI now. Find out how reliable data can make your competitive edge happen. Barr Moses, Co-Founder and CEO of Monte Carlo, joins us to discuss.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Barr questions on AI and dataUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. the Importance of Data2. Challenges and Opportunities in Leveraging Data3. Adoption of Data Practices4. Data Use Case Examples5.Generative AI, LLMs, and Data IntegrationTimestamps:00:00 Empower AI proficiency with daily insights.06:02 Data observability ensures reliability and issue resolution.07:15 Understanding data's importance is crucial for businesses.13:07 Personalized AI relies on unique enterprise data.15:20 Large enterprises struggle with data consistency, smaller teams advantage.19:42 Generative AI analyzes sports data for insights.22:56 Personalized financial products using reliable data.23:56 Credit Karma Intune boosts external and internal productivity.28:02 Peak data reached; synthetic data becomes crucial.30:36 Recap available on your everydayai.com.Keywords:Generative AI, Data Usage, Data Accuracy, High-Quality Data, AI Implementation, Brand Reputation, Small Business Data Management, Data Systems, Trusting Data Sources, Everyday AI Podcast, Microsoft Partnership, Barr Moses, Monte Carlo, Data Downtime, Data Issues, Data Products, Data Observability, Data Adoption Forecast, Smaller Team Advantages, Microsoft WorkLab Podcast, Data Quality Monitor Recommendations, AI and Data Integration, Personalized Financial Products, Coding Assistants, AI for Compliance Reporting, Large Language Models, Synthetic Data, Real-World Data, Data Governance, Data Quality Management. Ready for ROI on GenAI? Go to youreverydayai.com/partner

In this episode, Amir Bormand is joined by Jay Como to discuss how organizations can simplify data governance. Jay shares insights on shifting the perception of governance from a bureaucratic burden to a business enabler, how emerging technologies like Gen AI can assist in governance challenges, and strategies for making governance policies more effective and accessible.

ABOUT JIM PALMERJim Palmer is the Chief AI Officer at Dialpad. Previously he was CTO and Co-Founder of TalkIQ, a conversational intelligence start-up with expertise in real-time speech recognition and natural language processing, acquired by Dialpad in May of 2018. Prior to TalkIQ, he was the founding engineer on the eBay Now local delivery service.SHOW NOTES:Tips and cheat codes for navigating AI governance (3:30)Breaking down red teaming & adversarial testing in AI governance (8:02)Launching and scaling adversarial testing efforts (11:27)Unexpected benefits unlocked with adversarial testing (13:43)Understanding data governance and strategic AI investments (15:38)Building resilient AI from concept to customer validation (19:28)Exploring early feature validation and pattern recognition in AI (22:38)Adaptability in data management and ensuring safe, ethical data use while adapting to evolving legal and governance requirements (26:51)How to prepare data for safe and sustainable long-term use (30:02)Strategies for compliant data practices in a regulated world (32:43)Building data deletion systems with model training in mind (35:14)Current events and trends shaping adaptability and durability in the AI ecosystem (38:38)The role of a Chief AI Officer (41:20)Rapid fire questions (44:35)LINKS AND RESOURCESGenius Makers: The Mavericks Who Brought AI to Google, Facebook, and the World - With deep and exclusive reporting, across hundreds of interviews, New York Times Silicon Valley journalist Cade Metz brings you into the rooms where these questions are being answered. Where an extraordinarily powerful new artificial intelligence has been built into our biggest companies, our social discourse, and our daily lives, with few of us even noticing.This episode wouldn't have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJerry Li - Co-HostNoah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/

Easily access and unify your data for analytics and AI—no matter where it lives. With OneLake in Microsoft Fabric, you can connect to data across multiple clouds, databases, and formats without duplication. Use the OneLake catalog to quickly find and interact with your data, and let Copilot in Fabric help you transform and analyze it effortlessly. Eliminate barriers to working with your data using Shortcuts to virtualize external sources and Mirroring to keep databases and warehouses in sync—all without ETL. For deeper integration, leverage Data Factory's 180+ connectors to bring in structured, unstructured, and real-time streaming data at scale. Maraki Ketema from the Microsoft Fabric team shows how to combine these methods, ensuring fast, reliable access to quality data for analytics and AI workloads. ► QUICK LINKS: 00:00 - Access data wherever it lives 00:42 - Microsoft Fabric background 01:17 - Manage data with Microsoft Fabric 03:04 - Low latency 03:34 - How Shortcuts work  06:41 - Mirroring 08:10 - Open mirroring 08:40 - Low friction ways to bring data in 09:32 - Data Factory in Microsoft Fabric 10:52 - Build out your data flow 11:49 - Use built-in AI to ask questions of data 12:56 - OneLake catalog 13:36 - Data security & compliance 15:10 - Additional options to bring data in 15:42 - Wrap up ► Link References Watch our show on Real-Time Intelligence at https://aka.ms/MechanicsRTI Check out Open Mirroring at https://aka.ms/FabricOpenMirroring ► Unfamiliar with Microsoft Mechanics? As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics  

Is your data strategy built on trust—or risking compliance? In Episode 133, Season 6 of the FIT4Privacy Podcast, we explore how data governance fuels digital trust and unlocks business value with Federic Lebeau and Punit Bhatia. Learn why frameworks like data mesh and data contracts are transforming governance, making data collaboration seamless, secure, and compliant with regulations like GDPR and the AI Act.  We also explore innovative solutions like Data Village that enable companies to access and share high-value data while maintaining privacy and confidentiality.  Don't let poor governance hold your data back—tune in now and transform your approach to data value and trust!   KEY CONVERSION POINT  00:02:31 How would you describe digital trust?  00:04:52 What is trust?  00:09:01 What is the role of data governance in creating digital trust?   00:14:29 What is Data mesh and Data Product?  00:18:13 Is there ROI on data governance investments?  00:23:58 What is data village, and how can one leverage it?  00:32:54 How to reach Frederic Lebeau    ABOUT GUEST  Frédéric Lebeau CEO and co-founder of Datavillage. He has experience in the financial sector, cybersecurity and enterprise software. We created Datavillage because many of today's challenges cannot be solved in isolated data silos. Our vision is to create a world where organizations can freely and confidently collaborate on data, opening new insights and opportunities while maintaining full control over privacy and compliance. ABOUT HOST  Punit Bhatia is one of the leading privacy experts who works independently and has worked with professionals in over 30 countries. Punit works with business and privacy leaders to create an organization culture with high privacy awareness and compliance as a business priority. Selectively, Punit is open to mentor and coach professionals.  Punit is the author of books “Be Ready for GDPR'' which was rated as the best GDPR Book, “AI & Privacy – How to Find Balance”, “Intro To GDPR”, and “Be an Effective DPO”. Punit is a global speaker who has spoken at over 30 global events. Punit is the creator and host of the FIT4PRIVACY Podcast. This podcast has been featured amongst top GDPR and privacy podcasts.  As a person, Punit is an avid thinker and believes in thinking, believing, and acting in line with one's value to have joy in life. He has developed the philosophy named ‘ABC for joy of life' which passionately shares. Punit is based out of Belgium, the heart of Europe.  RESOURCES  Websites www.fit4privacy.com, www.punitbhatia.com, linkedin.com/in/lebeaufrederic ,https://www.datavillage.ai  Podcast https://www.fit4privacy.com/podcast  Blog https://www.fit4privacy.com/blog  YouTube http://youtube.com/fit4privacy   

In this episode of the On Location series recorded for HIMSS 2025 in Las Vegas, hosts Marco Ciappelli and Sean Martin sit down with Albe Zakes, Director of Strategic Communications at HIMSS, to discuss the transformative impact of technology on healthcare and the upcoming conference's role in driving innovation. HIMSS, a global society of health and technology professionals, brings together leaders, clinicians, practitioners, and innovators to harness the power of information and technology for improved patient outcomes and expanded access to healthcare.A Focus on Collaboration Over ExpertiseZakes emphasizes a significant shift in how the HIMSS conference operates. While traditional conferences often rely on a top-down approach with speakers sharing insights, HIMSS is increasingly prioritizing collaboration. The 2025 event will feature expanded networking opportunities and dedicated breaks to foster real-time partnerships and relationships that can extend beyond the conference. The approach underscores the organization's belief in the “symbiotic triangle” of people, technology, and process—highlighting that technology alone is not enough without empowering the people who use it.Exploring Key Topics: AI, Cybersecurity, and Health EquityArtificial intelligence (AI) is set to take center stage at HIMSS 2025, reflecting its transition from a speculative technology to a practical tool reshaping healthcare. With dozens of educational sessions dedicated to AI, the conference will explore how clean data and strong governance are critical to unlocking AI's potential in improving healthcare delivery.Cybersecurity is another major focus, with a dedicated Healthcare Cybersecurity Forum and a Cybersecurity Command Center on the exhibit floor. Notably, former U.S. Cyber Command and NSA Director General Paul Nakasone will deliver a keynote on maintaining security in an AI-driven world. The emphasis on cybersecurity aligns with the critical need to protect patient data and maintain trust within the healthcare ecosystem.Zakes also highlights the Health Equity Forum, which aligns with HIMSS's mission to ensure that technology advancements translate into equitable healthcare access. The forum will gather leaders from governments and nonprofits worldwide to discuss strategies to improve health equity globally.Innovation and Emerging TechnologiesThe conference aims to showcase not only established tech giants like Oracle and AWS but also emerging companies and startups. The “First-Time Exhibitors Pavilion” and the “Emerge Innovation Experience” will offer opportunities for attendees to engage with new technologies and ideas. The Emerge Innovation Experience will feature a pitch contest and networking events for entrepreneurs and investors, driving forward-thinking solutions in healthcare technology.The Power of People, Technology, and ProcessThis episode offers a glimpse into the critical themes that will dominate HIMSS 2025, providing valuable insights into how technology, collaboration, and innovation are reshaping healthcare. With thought-provoking discussions on AI, cybersecurity, and health equity, listeners are invited to explore how these advancements impact not only healthcare systems but also society at large. Tune in to hear more about the initiatives and opportunities at HIMSS 2025, and how you can be part of the conversation shaping the future of healthcare.Guest: Albe Zakes, Director of Strategic Communications at HIMSS | On LinkedIn: https://www.linkedin.com/in/albezakes/Hosts:Sean Martin, Co-Founder at ITSPmagazine [@ITSPmagazine] and Host of Redefining CyberSecurity Podcast [@RedefiningCyber] | On ITSPmagazine:  https://www.itspmagazine.com/sean-martinMarco Ciappelli, Co-Founder at ITSPmagazine [@ITSPmagazine] and Host of Redefining Society Podcast & Audio Signals Podcast | On ITSPmagazine: https://www.itspmagazine.com/itspmagazine-podcast-radio-hosts/marco-ciappelli____________________________This Episode's SponsorsTo learn about event coverage sponsorship options, please visit https://itspm.ag/event-coverage-package____________________________ResourcesLearn more and catch more stories from HIMSS 2025 coverage: https://www.itspmagazine.com/on-location____________________________Catch all of our event coverage: https://www.itspmagazine.com/technology-and-cybersecurity-conference-coverageTo see and hear more Redefining CyberSecurity content on ITSPmagazine, visit: https://www.itspmagazine.com/redefining-cybersecurity-podcastTo see and hear more Redefining Society stories on ITSPmagazine, visit:https://www.itspmagazine.com/redefining-society-podcastWant to tell your Brand Story Briefing as part of our event coverage? Learn More

When we think of data, we think about numbers and statistics, but we don't often think about people. In the second episode of our Humanizing Data Strategy series, we discuss why storytelling, empathy, and creativity are all crucial parts of a successful data strategy. This podcast is for you if you're a data leader looking to communicate and influence data strategy more effectively in your own organization. You can explore more about data gamification here.   Host: Markus Buhmann, Data Strategy Principal, Thoughtworks   Guests: Tiankai Feng, Head of Data Strategy & Governance, Thoughtworks Sebastian Kaus, Head of Data Governance, Vattenfall

Locate, access, and trust the data you need using Microsoft Purview's Unified Catalog. By leveraging AI-powered search and automated quality checks, you can use data across your organization while staying compliant and meeting privacy standards. With streamlined approval workflows, request and gain access to data quickly, collaborate with stakeholders, and ensure data quality across projects.  Daniel Hidalgo, Microsoft Purview Senior Product Manager, joins Jeremy Chapman to share how to manage data governance, drive better decisions, and support meaningful AI outcomes with Microsoft Purview.   ► QUICK LINKS: 00:00 - Microsoft Purview Data Governance 00:29 - Data visibility and access 01:46 - Universal data catalog 03:23 - Crowdsourcing approach 04:24 - Business user demo 06:58 - How it works 08:05 - Create new governance domain 08:53 - Define data products 09:39 - Automate data quality checks 10:33 - Day-to-day management 11:57 - Wrap up   ► Link References Get started at https://aka.ms/PurviewDataGovernance     ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

    Colonel Dr. Jeremy C. Pamplin, the dynamic commander of the Telemedicine and Advanced Technology Research Center (TATRC), joins us for a captivating exploration of the evolution of military medical technology. From its roots in the 1990s with remote teleradiology to its current cutting-edge focus on AI and automation in battlefield care, TATRC has undergone a remarkable transformation. Dr. Pamplin takes us through this journey, emphasizing the importance of technology and data governance in optimizing medical performance and casualty outcomes under the Medical Research and Development Command since 2021.      Facing the challenges of future large-scale conflicts, we explore how technology can sustain quality casualty care amidst resource constraints and high casualty numbers. Our discussion highlights the critical role of mature and well-integrated technologies, drawing parallels with telemedicine and autonomous driving. The conversation emphasizes the necessity of quality data and robust governance as pivotal elements for revolutionizing combat casualty care and fostering a shared understanding within the military healthcare system about the value of data beyond traditional electronic records.     In an exciting look at TATRC's innovative projects, the AutoDoc initiative stands out, aiming to revolutionize casualty care through autonomous documentation and human-machine collaboration. We discuss the potential of passive data collection systems, like sensors and wearables, to enhance clinical decision-making and patient care coordination. Dr. Pamplin also underscores the significance of military-private sector partnerships in technology development, stressing flexible contracting mechanisms and the role of simulation in preparing military personnel for deployment in challenging environments. This episode promises to be a fascinating exploration of the future of military medicine, where technology plays a pivotal role in enhancing battlefield care.   Chapters: (00:04) - The Mission and Evolution of TATRC (08:49) - Transforming Healthcare Through Technology (15:30) - Value of Data in Patient Care (24:11) - Automation Stack in Healthcare Technology (35:22) - Future of Passive Data Collection (42:47) - Autonomous Documentation and Human-Machine Teams (48:52) - Military-Private Sector Partnership in Healthcare   Chapter Summaries: The Mission and Evolution of TATRC (00:04) TATRC's mission is to optimize combat casualty care through technology, including AI and automation, with a focus on data governance and collaboration with the private sector. Transforming Healthcare Through Technology (08:49) Technology, data, and integration are crucial for sustaining positive outcomes in future conflicts and revolutionizing casualty care. Value of Data in Patient Care (15:30) EMRs contain outdated data, real-time data is needed, data governance and interoperability are important for medical data. Automation Stack in Healthcare Technology (24:11) Nature's automation stack in medical settings, leveraging AI for data collection, understanding, and decision-making to improve patient care. Future of Passive Data Collection (35:22) Passive and autonomous data collection systems in healthcare, parallels with police body cameras, potential for training and AI, and importance of comprehensive data tracking patient status. Autonomous Documentation and Human-Machine Teams (42:47) Autodoc project transforms casualty care through autonomous documentation and human-machine collaboration, using passive data collection and robotic support. Military-Private Sector Partnership in Healthcare (48:52) DOD partners with private sector and academia for military technology development, using flexible contracts and simulation to address challenges.   Take Home Messages: Evolution of Military Medical Technology: The Telemedicine and Advanced Technology Research Center (TATRC) has played a pivotal role in transforming military medicine from its early days of remote teleradiology in the 1990s to the integration of AI and automation in modern battlefield care. This evolution highlights the importance of technology and data governance in optimizing medical performance and improving casualty outcomes. Challenges in Future Conflicts: As military operations anticipate future large-scale conflicts, the ability to sustain quality casualty care amidst resource constraints and high casualty numbers becomes crucial. The integration of mature technologies and quality data governance is essential to enhance human capabilities and revolutionize combat casualty care. Innovative Data Collection and Use: There is a critical need for real-time, passively collected data, such as sensor and wearable technology, to improve clinical decision-making and patient care coordination. Overcoming the limitations of traditional electronic medical records requires robust data governance and interoperability standards. Role of Automation and AI: The development of projects like the AutoDoc initiative demonstrates the potential of automation in casualty care through autonomous documentation and human-machine collaboration. These innovations aim to enhance efficiency, reduce documentation time, and improve patient care by leveraging AI in clinical decision support. Collaboration with the Private Sector: Successful military-private sector partnerships are vital for addressing complex military challenges, particularly in technology development. Flexible contracting mechanisms and simulation training play key roles in preparing military personnel for deployment in challenging environments while ensuring the integration of civilian expertise in AI and robotics.   Episode Keywords: Military Medical Technology, TATRC, AI, Automation, Battlefield Care, Medical Research and Development Command, Technology, Data Governance, Combat Casualty Care, Telemedicine, Autonomous Driving, Passive Data Collection, Sensors, Wearables, Autodoc, Human-Machine Collaboration, Military-Private Sector   Hashtags: #MilitaryMedicine #BattlefieldCare #TATRCInnovations #CombatMedicine #AIInHealthcare #DataDrivenMedicine #AutonomousHealthcare #Telemedicine #HealthcareTechnology #MilitaryInnovation   Honoring the Legacy and Preserving the History of Military Medicine The WarDocs Mission is to honor the legacy, preserve the oral history, and showcase career opportunities, unique expeditionary experiences, and achievements of Military Medicine. We foster patriotism and pride in Who we are, What we do, and, most importantly, How we serve Our Patients, the DoD, and Our Nation.   Find out more and join Team WarDocs at https://www.wardocspodcast.com/ Check our list of previous guest episodes at https://www.wardocspodcast.com/our-guests Subscribe and Like our Videos on our YouTube Channel: https://www.youtube.com/@wardocspodcast Listen to the “What We Are For” Episode 47. https://bit.ly/3r87Afm   WarDocs- The Military Medicine Podcast is a Non-Profit, Tax-exempt-501(c)(3) Veteran Run Organization run by volunteers. All donations are tax-deductible and go to honoring and preserving the history, experiences, successes, and lessons learned in Military Medicine. A tax receipt will be sent to you. WARDOCS documents the experiences, contributions, and innovations of all military medicine Services, ranks, and Corps who are affectionately called "Docs" as a sign of respect, trust, and confidence on and off the battlefield,demonstrating dedication to the medical care of fellow comrades in arms.     Follow Us on Social Media Twitter: @wardocspodcast Facebook: WarDocs Podcast Instagram: @wardocspodcast LinkedIn: WarDocs-The Military Medicine Podcast YouTube Channel: https://www.youtube.com/@wardocspodcast

What if data governance could be as natural as safety culture at an energy company? Data Governance Enthusiast Winfried Etzel challenges traditional notions of governance for the AI age, proposing a fresh framework through three crucial lenses: Data Negotiator, Director, and Accountant. Join us for a thought-provoking discussion about moving beyond compliance to build a culture where every data professional becomes a governance champion.

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

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

In this episode of AI, Government, and the Future, host Marc Leh is joined by Candy Alexander, a prominent cybersecurity leader with over 35 years of experience and current Chief Information Security Officer at NeuEon. As a two-time President of the Information Systems Security Association (ISSA) International and founding President of the ISSA Education and Research Foundation, Candy brings her extensive expertise to discuss AI trustworthiness, data governance, and enterprise security challenges.

What if data governance could be as natural as safety culture at an energy company? Data Governance Enthusiast Winfried Etzel challenges traditional notions of governance for the AI age, proposing a fresh framework through three crucial lenses: Data Negotiator, Director, and Accountant. Join us for a thought-provoking discussion about moving beyond compliance to build a culture where every data professional becomes a governance champion.

Alexander Torrenegra, CEO of Torre.ai, reveals how data governance can be transformed from a constraint into competitive advantage. From his early days revolutionizing voice actor casting to now building AI recruitment solutions, Torrenegra shares candid insights on why true AI value lies not in copilots but in full pilots, and why transparency might surpass privacy. Pour yourself a drink and join Juan and Tim for an honest, no-BS conversation about the intersection of AI, data governance, and the future of recruitment.

Alexander Torrenegra, CEO of Torre.ai, reveals how data governance can be transformed from a constraint into competitive advantage. From his early days revolutionizing voice actor casting to now building AI recruitment solutions, Torrenegra shares candid insights on why true AI value lies not in copilots but in full pilots, and why transparency might surpass privacy. Pour yourself a drink and join Juan and Tim for an honest, no-BS conversation about the intersection of AI, data governance, and the future of recruitment.

In this enlightening episode of the Lights on Data Show, co-hosts George and Diana delve into the vital topic of how organizational culture impacts data governance success. Joined by Joyce Myers, Chief Data Officer at Modern Technology Solutions, they explore the importance of culture, its effects on data governance, and how data governance initiatives can also influence culture. Joyce shares her extensive experience and offers invaluable advice on aligning culture with governance goals, building trust, and creating a data-informed culture. This episode is packed with insights for data governance specialists, IT professionals, and anyone curious about organizational culture and its impact on data initiatives. Don't miss out on this rich discussion on fostering the right cultural mindset for success in data governance.

Send Everyday AI and Jordan a text messageYour data is your moat. Everyone's got AI now. Find out how reliable data can make your competitive edge happen. Barr Moses, Co-Founder and CEO of Monte Carlo, joins us to discuss. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Barr questions on AI and dataUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. the Importance of Data2. Challenges and Opportunities in Leveraging Data3. Adoption of Data Practices4. Data Use Case Examples5.Generative AI, LLMs, and Data IntegrationTimestamps:00:00 Empower AI proficiency with daily insights.06:02 Data observability ensures reliability and issue resolution.07:15 Understanding data's importance is crucial for businesses.13:07 Personalized AI relies on unique enterprise data.15:20 Large enterprises struggle with data consistency, smaller teams advantage.19:42 Generative AI analyzes sports data for insights.22:56 Personalized financial products using reliable data.23:56 Credit Karma Intune boosts external and internal productivity.28:02 Peak data reached; synthetic data becomes crucial.30:36 Recap available on your everydayai.com.Keywords:Generative AI, Data Usage, Data Accuracy, High-Quality Data, AI Implementation, Brand Reputation, Small Business Data Management, Data Systems, Trusting Data Sources, Everyday AI Podcast, Microsoft Partnership, Barr Moses, Monte Carlo, Data Downtime, Data Issues, Data Products, Data Observability, Data Adoption Forecast, Smaller Team Advantages, Microsoft WorkLab Podcast, Data Quality Monitor Recommendations, AI and Data Integration, Personalized Financial Products, Coding Assistants, AI for Compliance Reporting, Large Language Models, Synthetic Data, Real-World Data, Data Governance, Data Quality Management.