Podcasts about Data management

In her first interview since becoming Principal Director of the Defense Department's Cyber Academic Engagement Office (CAEO), Diba Hadi reflects on her role and vision for the office since stepping into the position in 2024 during the 2025 HammerCON conference in Laurel, Maryland. Hadi shares insights into her day-to-day responsibilities and highlights efforts to strengthen the integration of universities into the Centers of Academic Excellence community. Her goal: to develop cyber talent aligned with the Defense Department's evolving workforce needs. She explores how improved data collection, interagency collaboration and smarter resource allocation can streamline reporting processes and support broader DOD hiring objectives. Hadi also discusses key initiatives, including scholarships, research partnerships and capacity-building grants, that bring together academia, industry and government to build cyber capabilities at their source.

Enterprise data management is undergoing a fundamental transformation. The traditional data stack built on rigid pipelines, static workflows, and human-led interventions is reaching its breaking point. As data volume, velocity, and variety continue to explode, a new approach is taking shape: agentic data management.In this episode of Tech Transformed, EM360Tech's Trisha Pillay sits down with Jay Mishra, Chief Product and Technology Officer at Astera, to explore why agentic systems powered by autonomous AI agents, Large Language Models (LLMs), and semantic search are rapidly being recognised as the next generation of enterprise data architecture.The conversation explores the drivers behind this shift, real-world applications, the impact on data professionals, challenges faced by agentic platforms, and the future of data stacks. Jay emphasises the importance of starting small and measuring ROI to successfully implement agentic solutions.What is Agentic Data Management?At its core, agentic data management is the application of intelligent, autonomous agents that can perceive, decide, and act across complex data environments. Unlike traditional automation, which follows predefined scripts, agentic AI is adaptive and self-directed. These agents are capable of learning from user behaviour, integrating with different systems, and adjusting to changes in context, all without human prompts.As Jay explains, "An agentic system is one that has the agency to make decisions, solve problems, and orchestrate actions based on real-time data and context, not just on training data.TakeawaysAgentic data management is the next evolutionary step in data architecture.Agents are autonomous and can make decisions on the fly.The demand for agentic solutions is increasing due to data volume and AI strategy needs.Maturity of foundation models enables near-human reasoning capabilities.Real-world applications of agentic AI include insurance claim processing.Data engineers will focus on policy and guardrail creation rather than coding.Governance, debt and hallucinations are significant challenges in agentic platforms.The future of data stacks will include declarative control plans and enhanced memory layers.Analysts will play a crucial role in defining policies for agentic systems.Starting small and demonstrating ROI is key to successful agentic implementation.Chapters00:00 Introduction to Agentic Data Management02:58 Understanding Agentic Data Management06:58 Drivers of Change in Data Management10:03 Real-World Applications of Agentic AI14:15 Impact on Data Engineers and Analysts16:43 Challenges and Limitations of Agentic Data Platforms20:03 Future of Data Stacks23:31 Final Thoughts on Agentic Data ManagementAbout Jay MishraJay Mishra is the Chief Product and Technology Officer at Astera Software, with over two decades of experience in data architecture and data-centric software innovation. He has led the design and development of transformative solutions for major enterprises, including Wells Fargo, Raymond James, and Farmers Mutual. Known for his strategic insight, technical leadership, and passion for empowering organisations, Jay has consistently delivered intelligent, scalable solutions that drive...

As organizations accelerate AI adoption and digital transformation, outdated data management practices are becoming a liability.In this episode of The Ravit Show, I sit down with Kamal Hathi, SVP and GM, Splunk Products & Technology, to discuss the findings from Splunk's new report: The New Rules of Data Management: Creating Value in the AI Era.Key topics we covered:- Why unified data visibility is still rare—and how to fix it- The cost of unnecessary data movement in a federated world- How clean, well-managed data improves AI accuracy and security- Why leaders embracing federation, pipeline orchestration, and lifecycle management are outperforming across the boardThis conversation is a must-watch for anyone building resilient, AI-ready enterprise systems.#SplunkSponsored #Data #AI #TheRavitShow

In this episode, Sean and Matt discuss the significance of soft skills in business and leadership. They explore how being likable and developing interpersonal skills can lead to greater financial success and better workplace relationships. The conversation also touches on personal experiences, career reflections, and the importance of networking in achieving business goals.00:00 Introduction07:28 The Role of Soft Skills in Business Success12:44 Building Relationships and Networking20:31 Creating a Positive Company Culture28:00 Turning Soft Skills into Financial Success39:53 The Importance of Soft Skills44:05 Building Relationships in Business49:42 Career Reflections and Mistakes01:01:05 Data Management and AI IntegrationPowered By:Fulfil.io.https://bit.ly/3pAp2vuThe Only Cloud ERP Designed to Efficiently Scale 8 and 9-Figure Brands. Northbeam.https://www.northbeam.io/Postscript.https://postscript.io/Richpanel.https://www.richpanel.com/?utm_source=9O&utm_medium=podcast&utm_campaign=ytdescSaras.https://saras-analytics.typeform.com/to/T8jpuAEb?utm_source=9operator_lp&utm_medium=find_out_moreSubscribe to The Marketing Operators Podcast here: https://www.youtube.com/@MarketingOperatorsSubscribe to The Finance Operators here: https://www.youtube.com/@FinanceOperatorsFOPS Sign up to the 9 Operators newsletter here: https://9operators.com/

This week joined by Nicole Latimer, CEO of Medrio. What do we see as we look to the future.

Build secure, compliant AI apps with code-based controls that dynamically respond to user context using Microsoft Purview for AI app developers. With built-in protections, prevent data leaks, block unsafe prompts, and avoid oversharing without rewriting your app. As a developer, focus on innovation while meeting evolving security and compliance requirements. And as a security admin, gain full visibility into AI data interactions, user activity, and policy enforcement across environments. Shilpa Ranganathan, Microsoft Purview Principal GPM, shares how new SDKs and Azure AI Foundry integrations bring enterprise-grade security to custom AI apps. ► QUICK LINKS:  00:00 - Microsoft Purview controls for developers 00:16 - AI app protected by Purview 02:23 - User context aware 03:08 - Prevent data oversharing 04:15 - Behind the app 05:17 - API interactions 06:50 - Data security admin AI app protection 07:26 - Monitor and Govern AI Interactions 08:30 - Wrap up ► Link References Check out https://aka.ms/MicrosoftPurviewSDK Microsoft Purview API Explorer at https://github.com/microsoft/purview-api-samples/ For the Microsoft Purview Chat App go to https://github.com/johnea-chva/purview-chat ► 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

Dairy One has partnered with iYOTAH to help farmers bring together data from across their farms with a new technology tool. In this podcast episode, Kari Spaan, CEO of iYOTAH, and Matt Newman, Director of Dairy One's Integrated Farming Solutions group, discuss this new software and how it's making an impact on dairies. From cool features to real-life applications, Blue Board is a tool worth investing in! This episode is sponsored by Dairy One.

Send us a textIn this conversation, Frank Contrepois, Stephen Old, and Rich Gibbons explore the complexities of Software as a Service (SaaS) along with Financial Operations (FinOps) and IT Asset Management (ITAM). They talk about how software licensing has evolved and the challenges of managing SaaS consumption. Security and data management in a SaaS setting are also discussed. The conversation highlights the different views of ITAM and FinOps on SaaS. They consider how SaaS affects procurement models and the future of collaboration between these areas.

Fri, 20 Jun 2025 03:45:00 +0000 https://jungeanleger.podigee.io/2349-borsepeople-im-podcast-s19-12-raluca-heigl c70ad9fa36bd3776ea60496315b3b6c4 Raluca Heigl ist Head of Data Governance and Data Management bei der Volksbank Wien. Die gebürtige Rumänin hat in Bukarest studiert und ihre Karriere Anfang der Nullerjahre bei der HVB ebendort gestartet, dies verbunden mit raschem Aufstieg und schönen Stories. 2007 folgte der Wechsel zur Bank Austria nach Wien und kurz danach interessierte sich die Volksbank für die Datenexpertin, mittlerweile ist Raluca schon fast 18 Jahre im Haus. Wir sprechen über den Weg von der SEPA-Managerin zur Organisation der Kernbankensysteme, die Funktionen als Head of Business Consulting bzw. Data Governance & Data Management bis hin zu erst CDO und dann CDAO des Konzerns, wobei Raluca das A wichtig ist. Wir reden aber auch über Diversität, KI, Mathe, Coden, einen MBA, Certible, das Hiring, die Freude an der Arbeit. Und über das Backen. http://www.volksbank.at https://jobs.volksbank.at About: Die Serie Börsepeople des Podcasters Christian Drastil, der im Q4/24 in Frankfurt als "Finfluencer & Finanznetworker #1 Austria" ausgezeichnet wurde, findet im Rahmen von http://www.audio-cd.at und dem Podcast "Audio-CD.at Indie Podcasts" statt. Es handelt sich dabei um typische Personality- und Werdegang-Gespräche. Die Season 19 umfasst unter dem Motto „25 Börsepeople“ 25 Talks. Presenter der Season 19 ist die Volksbank https://www.volksbank.at. Welcher der meistgehörte Börsepeople Podcast ist, sieht man unter http://www.audio-cd.at/people. Der Zwischenstand des laufenden Rankings ist tagesaktuell um 12 Uhr aktualisiert. Bewertungen bei Apple (oder auch Spotify) machen mir Freude: http://www.audio-cd.at/spotify , http://www.audio-cd.at/apple . 2349 full no Christian Drastil Comm. 1391

This week on The Data Stack Show, John Wessel and Matt Kelliher-Gibson dive into the recent Duck Lake announcement, exploring the evolving landscape of data analytics technologies. They discuss DuckDB's role as a lightweight, local analytics database and its potential as a caching layer for open table formats like Iceberg. The conversation also highlights the current state of data storage standards, focusing on agreements around Parquet and Iceberg, while noting the ongoing complexity in catalog management. Key takeaways include the importance of local compute solutions, the early stage of open table formats, and the potential for simplified data infrastructure that can provide faster, more cost-effective analytics workflows. The episode underscores the ongoing innovation in data technologies and the need for more streamlined, flexible data management solutions. Don't miss it!Highlights from this week's conversation include:Discussion on Duck Lake Announcement (1:41)Compatibility with Apache Iceberg (4:05)Use Cases for DuckDB (6:23)Concerns About Data Management (10:01)Introduction to Data Formats (11:40)Catalog Space Challenges (13:13)Metadata Orchestration (14:54)Simplicity in Data Management (15:25)SQL Demo Discussion (17:26)Wrap-Up and Final Thoughts (18:44)The Data Stack Show is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it's needed to power smarter decisions and better customer experiences. Each week, we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

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

USDA's FPAC is launching a $158 million IDIQ to overhaul its cloud-based data infrastructure across agencies like FSA, NRCS, RMA, and FBC. In this episode, we break down how contractors can support advanced analytics, AI/ML, data engineering, and visualization tools in a secure AWS GovCloud environment.Key Topics:·         Tools: AWS, Tableau, Power BI, Redshift, Cloudera·         Focus areas: Data governance, AI, analytics, COOP/DR, and more·         Why this 10-year contract matters for federal tech firmsTune in to learn how to position your team for this game-changing federal opportunity.Contact ProposalHelper at sales@proposalhelper.com to find similar opportunities and help you build a realistic and winning pipeline.

Michelleanne and Katrina and Data Management and Quality!

Boost data security and automate prioritization for data alerts with Security Copilot-powered Alert Triage Agents for Microsoft Purview Data Loss Prevention and Insider Risk Management. Surface the highest-risk alerts across your environment, no matter their default severity, and take action. Customize how your agents reason, teach them what matters to your organization, and continuously refine to reduce time-to-resolution. Talhah Mir, Microsoft Purview Principal GPM, shows how to triage, investigate, and contain potential data risks before they escalate. ► QUICK LINKS:  00:00 - Agents in Microsoft Purview 00:58 - Alert Triage Agent for DLP 01:54 - Customize Agents 03:32 - View prioritized alerts 05:17 - Calibrate Agent Behavior with Feedback 06:38 - Track Agent Performance and Usage 07:34 - Wrap up ► Link References Check out https://aka.ms/PurviewTriageAgents ► 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

Shannon Ayers from Lawrence Livermore National Lab unveiled a groundbreaking generative AI tool to boost operational efficiency at the National Ignition Facility. The tool leverages 22 years of institutional data, analyzing over 98,000 problem logs, to provide instant troubleshooting guidance for operators. By creating a decision-tree system, the lab addresses critical challenges of aging infrastructure and knowledge transfer between retiring and emerging scientific workforces. The AI-powered platform represents a strategic approach to accelerating scientific research, enabling operators to quickly resolve complex technical issues and maintain continuous data production. The tool aims to empower the next generation of scientists by providing rapid access to decades of accumulated institutional knowledge. This approach not only improves immediate operational capabilities but also supports the broader national security and fusion energy research objectives of the laboratory. By transforming how technical knowledge is captured, shared and applied, Lawrence Livermore National Lab is positioning itself at the forefront of technological innovation, demonstrating how AI can revolutionize scientific research and national technological capabilities.

Organizations across the financial sector are investing more time and energy into data strategy, but many still struggle to move from planning to execution. In this episode of the Risk Intel Podcast, Jeff Fink returns for Part 4 of our Data Strategy series, sharing tactical guidance on how to operationalize a data strategy and deliver real business value. Whether you're a chief data officer at a regional bank or an operations leader at a credit union or community bank, this episode offers a practical roadmap for putting your strategy into motion.Follow us to stay in the know!

Is AI going to be relegated to a productivity-efficiency in the banking sector or do the horizons expand into innovation as well? In part two of the series on Bringing Data and AI to Life, host Amy Horowitz, VP of the Data Governance and Data Integration Solution Sales team, Informatica, welcomes back Joseph Pelasari and Desigan Reddi from Wescom Financial, for a further deep-dive on the potential of AI in the banking industry, the practical ways it's currently driving innovation and what the future holds in terms of AI capabilities and adoption. Tune in for valuable perspectives on implementing AI in regulated environments, avoiding bias in lending decisions, and creating scalable AI solutions that align with strategic objectives.

GSD Presents: Top Global Startups with Chad Sanderson: Shift Left Data Management June 6th, Friday

Michael is an ASP.NET and C# programmer who has extensive knowledge in process improvement, AI and Large Language Models, and student information systems. He is also the founder of the following websites, BlazorData.net, AIStoryBuilders.com, and BlazorHelpWebsite.com — fantastic resources that help empower developers. Michael resides in Los Angeles, California, with his son Zachary and wife, Valerie.   Topics of Discussion: [2:09] Michael shares his background, starting with his first applications created for his uncle's company using Access 2.0. [3:08] Michael mentions his new project, Personal Data Warehouse, which is an open-source, free tool for managing data. [5:20] He explains the inspiration behind the Personal Data Warehouse, focusing on the importance of data for making human decisions. [7:48] Michael's finding: the reason we collect data is so that a human being can use that data to make decisions. [9:42] The three phases of data: collection, transformation, and reporting, and the significance of the transformation phase, where data is processed to make it useful for decision-making. [12:45] Data warehousing techniques and tools, and the use of Parquet files. [13:14] Michael talks about the use of SQL Server Reporting Services for generating reports, which can be accessed through the application. He encourages developers to explore the Personal Data Warehouse and its open-source code on GitHub. [22:33] Scenarios and use cases for Personal Data Warehouse. [32:09] AI and Language Models in Data Management. [36:17] The need to be responsible with AI and not use it to harm people. [37:07] Michael shares his experience with various AI tools, including CoPilot, OpenAI, and Google Notebooks.   Mentioned in this Episode: Clear Measure Way Architect Forum Software Engineer Forum Programming with Palermo — New Video Podcast! Email us at programming@palermo.net. Clear Measure, Inc. (Sponsor) .NET DevOps for Azure: A Developer's Guide to DevOps Architecture the Right Way, by Jeffrey Palermo Ep 286 with Michael Washington Webmaster@ADefWebserver.com AI Snake Oil AIStoryBuilders Blazor — Blogs Blazor Help Website BlazorData-Net / PersonalDataWarehouse GitHub Copilot Google NotebooksLM   Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.

In this episode of the Operators Podcast, the hosts discuss the current challenges in the e-commerce landscape, emphasizing the importance of adaptability and efficiency in operations. They explore the role of AI in transforming business practices and enhancing productivity. The conversation also touches on headcount management, the dynamics of employment, and the significance of performance in a rapidly changing market. Finally, they share insights on sales strategies and market trends, highlighting the need for continuous improvement and innovation. 00:00 Introduction02:50 Embracing AI in Business Operations06:05 The Importance of Adaptability and Headcount Management08:53 Transforming Business's with AI11:50 The Dynamics of Employment and Performance15:04 Sales Strategies and Market Trends28:58 The Importance of Promotion in Business33:37 Sales Strategies and Revenue Insights39:44 Navigating Economic Uncertainty45:31 Leadership Challenges and Growth51:09 Building Resilience in Business58:19 Navigating Sales Tax Complexity01:01:13 The Burden of Compliance and Audits01:04:25 The Cost of Mistakes in Sales Tax01:07:14 Data Management and Its Importance01:12:57 The Future of Sales Tax and Business Operations01:16:54 The Role of Technology in Sales Tax Compliance01:20:45 The Impact of Sales Tax on Business ValuationOperators Exclusive Slack: https://join.slack.com/t/9operators/shared_invite/zt-2tdfu426r-TepSHJP~evAyDfR29U2qUwPowered By:Fulfil.io.https://bit.ly/3pAp2vuThe Only Cloud ERP Designed to Efficiently Scale 8 and 9-Figure Brands. Northbeam.https://www.northbeam.io/Postscript.https://postscript.io/Richpanel.https://www.richpanel.com/?utm_source=9O&utm_medium=podcast&utm_campaign=ytdescSaras.https://saras-analytics.typeform.com/to/T8jpuAEb?utm_source=9operator_lp&utm_medium=find_out_moreSubscribe to The Marketing Operators Podcast here: https://www.youtube.com/@MarketingOperatorsSubscribe to The Finance Operators here: https://www.youtube.com/@FinanceOperatorsFOPS Sign up to the 9 Operators newsletter here: https://9operators.com/

This week on The Home Builder Digital Marketing Podcast, Greg and Kevin discuss data feed management that helps home builders organize community, plan, and inventory data, and create properly formatted automated listing feeds to syndicate to home listing sites. https://www.buildermarketingpodcast.com/episodes/271-home-builder-data-management-greg-bray-and-kevin-weitzel

Ed Vincent, host of the Risk Intel Podcast, welcomed Jeff Fink back to the show for part three of their Data Strategy Series. This week's insightful conversation dives deep into the distinction between data strategy VS reporting, which is a critical yet often misunderstood area for community financial institutions aiming to become truly data-driven. Listen to the full episode, or if you missed Part 1 and Part 2, click the links below to catch up.Part 1: How to Start a Data Strategy From Nothing: Make the Mind Shift From Stuck to StartPart 2: Defining a Data Strategy: What a Data Strategy Is - And Isn'tFollow us to stay in the know!

Artificial intelligence powers many cybersecurity applications, and government agencies are increasingly using AI to augment systems in national security and intelligence capacities. The complexities of AI implementation require careful architectural considerations and robust governance frameworks to ensure safe execution. William MacMillan, former CISO at CISA and current chief product officer at Andesite AI, noted how AI holds tremendous potential to enhance efficiency and accuracy, particularly through "human in the loop" systems that manage vast amounts of data. MacMillan also talks about the critical role of leadership in establishing international AI standards and the necessity of user training and human-AI collaboration for effective implementation.

In this episode of the Lights On Data Show, host George Firican discusses the rapidly evolving landscape of data management with Kamal Hathi, Senior Vice President and GM at Splunk, a Cisco company. They explore the challenges organizations face as they scale and adopt AI, emphasizing the importance of digital resilience, security, and observability. Kamal shares insights from Splunk's latest report, 'The New Rules of Data Management' (https://splk.it/3RLx67g), which surveys over 1,400 IT, engineering, and cybersecurity professionals across 16 industries. Key topics include the importance of data federation, tiering, and having a clear data strategy for business success. Tune in to learn how leading organizations are overcoming data challenges to achieve better business outcomes.

Data breaches are no longer the exception—they're the norm. As customer trust becomes harder to earn and easier to lose, businesses are waking up to a reality: managing customer data isn't just an IT concern—it's a C-suite imperative.Inspired by As data breaches abound, customer data management becomes C-suite priority, this episode explores how CDM has evolved into a strategic business function. From skyrocketing breach costs to the push for unified customer views, we unpack why CDM is foundational to trust, personalization, and brand loyalty in today's digital economy. You'll hear about best practices, key technologies, and the deeper implications of turning data protection into a promise—not just a policy.What You'll Learn in This Episode:1. The Scale and Impact of Modern Data BreachesWhy breaches involving millions—even hundreds of millions—of users are becoming more commonThe financial toll of breaches, with average costs nearing $5 millionHow brand trust and customer loyalty are at stake when data is mishandled2. What Customer Data Management (CDM) Really MeansCDM as a comprehensive strategy to collect, protect, organize, and ethically use customer dataIts growing visibility as a consumer-facing function, not just a backend processThe shift from fragmented data to unified profiles across platforms and departments3. Best Practices for Effective CDMUnderstand evolving regulations like GDPR and CCPAPrioritize high-value data, not just volumeInvest in platforms with certified data security standardsClean and validate customer data regularly to reduce inaccuracyBreak down internal silos to unify data organization-wideBuild holistic customer profiles that integrate behavioral, transactional, and sentiment dataManage customer identity continuously from first interaction through the entire lifecycle4. The Business Case for CDMEnables personalization at scale while maintaining trustFuels better decision-making through clean, unified insightsCreates competitive advantage through security, transparency, and loyaltySupports compliance and reduces operational inefficienciesKey Takeaways:Data management is no longer optional—it's foundational to customer experience and business survivalCustomers expect hyper-personalization and security; companies must deliver bothCDM enables unified, real-time understanding that strengthens every customer interactionStrong data governance is a brand promise that drives retention, growth, and trustSubscribe to our podcast for expert insights on data security, digital transformation, and customer trust in the age of AI. Visit The Future of Commerce for the latest trends and research. Share this episode with data leaders, marketers, and business decision-makers invested in protecting and empowering the customer.

Businesses today finally recognize the strategic urgency of unifying all customer data in an increasingly AI-driven world of personalized engagement. And now the  data technology has matured to the point where that goal is more achievable than ever,  according to SAP data expert Chris O'Hara. 

In this episode of the Operators Podcast, the hosts discuss the current economic challenges facing e-commerce brands, the importance of personal discipline, and the complexities of the Indian market. They are joined by Ronnie Teja to explore the growth potential in India, the unique challenges of manufacturing there, and the cultural nuances that influence consumer behavior. The conversation highlights the opportunities in supplements and generic drugs, as well as the future of manufacturing in India, positioning it as a potential economic powerhouse. They explore the challenges of entering new markets, the integration of AI in data management, and the significance of brevity in communication to enhance productivity.00:00 Introduction01:59 Personal Transformation and Discipline04:45 The Indian Market Landscape10:06 Understanding India's Economic Growth15:04 Opportunities and Challenges in Indian Manufacturing19:46 Cultural Nuances and Consumer Behavior in India25:13 The Future of Manufacturing in India39:06 International Expansion and Distribution Models43:14 Data Management and AI Integration47:04 Challenges of International Markets51:39 The Importance of Brevity in Communication01:01:08 Navigating Business Challenges and Market DynamicsOperators Exclusive Slack: https://join.slack.com/t/9operators/shared_invite/zt-2tdfu426r-TepSHJP~evAyDfR29U2qUwConnect with Ronnie:https://x.com/roaringronny?lang=enhttps://trulyoffice.com/Powered By:Fulfil.io.https://bit.ly/3pAp2vuThe Only Cloud ERP Designed to Efficiently Scale 8 and 9-Figure Brands. Northbeam.https://www.northbeam.io/Postscript.https://postscript.io/Richpanel.https://www.richpanel.com/?utm_source=9O&utm_medium=podcast&utm_campaign=ytdescSaras.https://saras-analytics.typeform.com/to/T8jpuAEb?utm_source=9operator_lp&utm_medium=find_out_moreSubscribe to The Marketing Operators Podcast here: https://www.youtube.com/@MarketingOperatorsSubscribe to The Finance Operators here: https://www.youtube.com/@FinanceOperatorsFOPS Sign up to the 9 Operators newsletter here: https://9operators.com/

Tired of chasing leads that go nowhere? Ryan Young, CEO of Fello and a top-producing team leader, delivers a no-nonsense blueprint for real estate domination.   Discover his "eat your own dog food" approach to business, the shocking truth about your CRM's hidden potential, and the exact steps to build a powerhouse team right now. Learn the crucial difference between a good database and a goldmine of future business.   Stop wasting money on cold leads and start mining the gold you already own!   Follow this link for the Jeff Turner post mentioned in the show.   Connect with Ryan on - LinkedIn.   Learn more about Fello on - Facebook - LinkedIn - Instagram and online at fello.ai.   You asked for it. We delivered. Check out our new merch! https://merch.realestateinsidersunfiltered.com/   Follow Real Estate Insiders Unfiltered Podcast on Instagram - YouTube - Facebook - TikTok. Visit us online at realestateinsidersunfiltered.com.   Link to Facebook Page: https://www.facebook.com/RealEstateInsidersUnfiltered Link to Instagram Page: https://www.instagram.com/realestateinsiderspod/ Link to YouTube Page: https://www.youtube.com/@RealEstateInsidersUnfiltered Link to TikTok Page: https://www.tiktok.com/@realestateinsiderspod Link to website: https://realestateinsidersunfiltered.com This podcast is produced by Two Brothers Creative. https://twobrotherscreative.com/contact/  

Government agencies collect vast amounts of data, but accessing and using that data effectively has long been a challenge. Ahu Yildirmaz and the team at the Coleridge Initiative are working to change that. By providing secure data-sharing platforms, advanced analytics training and tools for cross-agency collaboration, the organization is helping policymakers make more informed decisions. The Coleridge Initiative is addressing common obstacles like data silos, privacy concerns and limited technical resources. Yildirmaz also discusses the broader implications of modernizing government data, how better access and analysis can shape policy, improve public service and create a more transparent and efficient government.

In this episode of the Risk Intel Podcast, Ed Vincent welcomes back Watchtower's Chief Product Officer, Jeff Fink, to kick off a multipart series on creating a data strategy. A hot topic for many community banks and credit unions wanting to modernize their internal processes on how they handle data, collect it and how do they leverage data to achieve their collective goals. Listen to the full episode here.Follow us to stay in the know!

Tom McHugh, the CEO and co-founder of Finbourne, shares how they are transforming financial data management to deliver better outcomes. Tom shares the complexities of managing diverse financial data sources and how Finbourne's technology aims to simplify this landscape. He explains how their unique approach helps firms maintain gross margins, reduce fees, and enhance efficiency without overhauling existing systems. Learn about the core infrastructure of Finbourne, the role of AI and data virtualization, and the significant social impact Finbourne's solutions can bring to both investors and financial services.LINKSFinbourne: https://www.finbourne.com/

Join us, while we're Waiting For Review, This week we talk about: Daniel sponsors a small podcast via Patreon Daniel's deep dive into Druid performance

In this special eCom Ops podcast episode, journey with us as we dive deep into the world of e-commerce, and the importance of understanding data dynamics and how it fuels growth is paramount, guided by Moustafa Moursy's expertise. Discover the strategies, the solutions, and the sheer passion that makes Push Analytics a game-changer in the business growth landscape.

Damien Garros, CEO and co-founder of OpsMill is with us once again for today’s podcast. Since we last spoke with Damien, OpsMill has emerged from stealth mode and is making progress as one of the leaders in network source of truth in the field. Today, we’ll talk through the progress Infrahub has made and get... Read more »

Damien Garros, CEO and co-founder of OpsMill is with us once again for today’s podcast. Since we last spoke with Damien, OpsMill has emerged from stealth mode and is making progress as one of the leaders in network source of truth in the field. Today, we’ll talk through the progress Infrahub has made and get... Read more »

Joel Christner, (@joelchristner, Founder/CEO at @viewyourdata) discusses the complexities of data management in AI, structured and unstructured data, the importance of RAG pipelines and vector databases. SHOW SUMMARY:  Aaron and Joel discusses the complexities of data management in AI, focusing on the concept of universal data representation. They explore the challenges organizations face with structured and unstructured data, the importance of RAG pipelines and vector databases, and the implications of data privacy in regulated industries. The conversation also touches on managing model versions and the emerging patterns in AI tooling that can help enterprises effectively utilize AI technologies.SHOW: 925SHOW TRANSCRIPT: The Cloudcast #925 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS" SPONSORS:[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.[US CLOUD] Cut Enterprise IT Support Costs by 30-50% with US CloudSHOW NOTES:View.io websiteTopic 1 - Welcome to the show, Joel. Give everyone a quick introduction.Topic 2 - Our topic today is everything data and how to represent it and embed it into AI systems. First, what is the challenge with data, structured or unstructured, in organizations today and what is behind the concept of Universal Data RepresentationTopic 3 - Industry or customer specific data today is big challenge for organziations, especially in highly regulated industries such as healthcare, financial services, etc. The most prevalent solution I am seeing is taking an existing foundational model and then adding a RAG pipeline vs. the cost and time to fine tuning. What are you seeing?Topic 4 - Even when companies have good data, that doesn't mean that data makes it into the AI pipeline correctly, this is where the embedding problem and your concept of Universal Data Representation comes into play, correct?Topic 5 - But, once you get the first model out, then what? How should the data and models be handled over time? How do you create a platform and a continuous feedback loop to improve the results over time?Topic 6 - What are the most successful use cases you are seeing today with your customers?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

Send us a textJohn Martell is a multifaceted mechanical engineer whose career bridges the worlds of aerospace, product development, and geospatial drone services. With over 14 years of industry experience, John has worn many hats—from designing guided-parafoil airdrop systems and reverse-engineering medical devices to leading multi-disciplinary engineering teams on complex automation and packaging systems. He currently serves as the Director of Data Management at Aero Velocity, where he combines his technical acumen with data tools like QGIS, Python, and LP360 to manage large-scale geospatial projects.Prior to his current role, John was a Lead Mechanical Engineer at Workhorse Aero, where he contributed significantly to drone and aerospace innovations. Earlier in his career, he spent several years at Pipeline Design & Engineering, where his talent for building repeatable test fixtures and automation for medical device applications set new benchmarks in performance and reliability. His work there earned him a reputation as one of the company's best engineers—a sentiment echoed by Pipeline's leadership.What sets John apart isn't just his technical expertise but also his passion for creative problem-solving and his continuous drive to learn. He's a tinkerer at heart with a flair for optimization, whether it's improving internal engineering processes through custom macros or exploring new technologies in CAD and product testing. He's also the musical mind behind the intro and outro of the Being an Engineer podcast, creating music under the name “Olivund.”With his unique combination of technical depth, leadership, and artistic creativity, John Martell exemplifies what it means to be a modern, versatile engineer.LINKS:https://www.linkedin.com/in/john-martell/https://507movements.com/ Aaron Moncur, host

Today's guest is Nathaniel Bell, Director of Data Management at Wells Fargo. Nate joins Emerj Managing Editor Matthew DeMello on the show today to discuss the practical application of AI within internal audit workflows, focusing on tools that are already delivering results. He explains how deterministic models are transforming information gathering, testing internal controls, and identifying risks earlier in the process. The conversation also covers the transition from manual audits to continuous auditing, emphasizing the importance of foundational capabilities like data quality and system integration. For audit and compliance leaders, Nathaniel provides valuable insights into where AI is driving impact today and the ongoing role of human oversight in these processes. This episode is sponsored by MindBridge. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business' podcast!

Highlights from this week's conversation include:Pedram's Background and Journey in Data (1:13)Marketing vs. Data Engineering (2:30)Understanding Marketing Pressures (4:16)Attribution Models and Accountability (8:13)Balancing Marketing and Team Management (12:25)Introduction to Dagster Components (15:00)AI Integration with Data Engineering (19:05)Challenges in Data Support (22:05)Self-Service Data Access (26:07)AI in Data Management (28:25)Organizing Data in Technical Teams (31:25)Challenges in Real-Time Data (33:28)Final Thoughts and Takeaways (37:01)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Summary In this episode of the AI for Sales podcast, Chad Burmeister interviews Matt Darrow, co-founder and CEO of Vivun. They discuss the significance of the name 'Vivian', which means 'lever' in Finnish, and how it relates to the company's mission of creating AI sales engineers that provide leverage to organizations. The conversation explores how AI is transforming the customer journey, the importance of human interaction in sales, and the misconceptions surrounding AI deployment. Matt shares insights on leveraging AI for sales efficiency, ethical considerations in AI, and the critical role of data management in maximizing AI's potential. Takeaways The name 'Vivian' means 'lever' in Finnish, symbolizing the leverage AI provides. AI is transforming the customer journey by making prospects more informed. Sales teams must adapt to faster-paced customer interactions due to AI. Human interaction remains crucial despite the rise of AI in sales. AI can automate top-of-funnel processes, increasing efficiency. Misconceptions about AI stem from a lack of understanding of its various forms. The LLM should be viewed as a tool, not the core intelligence. Data management is essential for effective AI deployment. Sales professionals need to embrace AI tools to enhance their success. Ethical considerations in AI deployment are becoming increasingly important. Chapters 00:00 The Meaning Behind Vivun 02:04 AI's Impact on the Customer Journey 07:02 Leveraging AI for Sales Efficiency 09:30 Misconceptions About AI Deployment 14:12 Navigating Ethical Considerations in AI 19:02 The Future of AI in Sales 22:18 The Importance of Data Management for AIProudly brought to you by Nooks.ai and BDR.ai, we share proven strategies and cutting-edge technologies that enable sales teams to dramatically accelerate outcomes. Learn how to leverage AI, automation, and conversational intelligence to 5X, 10X, or even 100X your impact. The future of sales is here—let's build it together.

Industrial Talk is onsite at DistribuTech 2025 and talking to Robert Brooks with Neara and Brian Reed with Osmose about "Technology and Pole Inspection". Scott MacKenzie hosts an industrial podcast from Distribute Tech in Dallas, highlighting the importance of data management in the utility sector. Guests Robert Brook and Brian Reed from Neara and Osmose, respectively, discuss their partnership to enhance utility data integration and decision-making. NIRA's platform creates a digital network model using various data sets, including LiDAR and GIS, to simulate asset performance under different conditions. Osmose provides detailed asset records and preservative treatments to ensure data accuracy. The collaboration aims to improve strategic resiliency plans by prioritizing asset upgrades and optimizing investment strategies. Action Items [ ] @Scott MacKenzie - Discuss the process of keeping the digital network model up-to-date as utility assets change over time. [ ] @Scott MacKenzie - Follow up with Brian Reed on LinkedIn to learn more about Osmose's pole inspection and maintenance services. [ ] Explore the Neara platform and its capabilities further. Outline Introduction and Welcome to Industrial Talk Podcast Scott MacKenzie introduces the Industrial Talk Podcast, emphasizing its focus on industry professionals and their innovations. Scott thanks the listeners for joining and highlights the importance of industry professionals in solving global problems. The podcast is sponsored by Siemens Smart Infrastructure and Grid Software, encouraging listeners to visit siemens.com for more information. Scott mentions the current broadcast location at Distribute Tech in Dallas, describing it as a massive event for utilities and other related industries. Introduction of Guests and Event Overview Scott introduces the guests, Robert Brook and Brian Reed, and mentions their roles in the industry. Robert and Brian discuss the importance of data management in the utility sector and the significance of the Distribute Tech event. Scott shares a personal anecdote about using Osmose services during his utility days, highlighting the reliability of their inspections. Robert and Brian provide background information about their companies, Neara and Osmose, and their respective roles within them. Neara and Osmose Partnership and Data Integration Brian explains the partnership between Neara and Osmose, focusing on the challenges utilities face in managing data across different departments. The partnership aims to consolidate data into a single source, enhancing risk-based decision-making for utilities. Robert describes Neara's platform, which builds a digital network model using various data sets, including LiDAR and GIS information. The platform provides a highly accurate and engineering-based relationship between assets, enabling better decision-making for utilities. Use Cases and Practical Applications Brian provides a use case for the partnership, focusing on strategic resiliency plans for Texas utilities. The platform helps utilities prioritize assets for upgrades, considering factors like wind loads and storm conditions. Scott inquires about the practical aspects of using the platform, including how utilities can access and interpret the data. Brian explains the self-service capabilities of the platform, allowing utilities to perform simulations and prioritize circuits and structures. Data Management and Platform Capabilities Robert discusses the scalability

This week, we've got Part 2 of our two-part panel discussion on Data Management as a Service, or DMaaS, with Moser's Brett Canova, Tony Wilhelm, and Brian Woolwine. This week we dive even deeper into how DMaaS is transforming the way businesses handle their data, ensuring scalability, security, and efficiency.

✨ Heads up! This episode features a demonstration of the SnapLogic UI and its AI Agent Creator towards the end. For the full visual experience, check out the video version on the Spotify app! ✨(Episode Summary)Tired of tangled data spread across multiple clouds, on-premise systems, and the edge? In this episode, MongoDB's Shane McAllister sits down with Peter Ngai, Principal Architect at SnapLogic, to explore the future of data integration and management in today's complex tech landscape.Dive into the challenges and solutions surrounding modern data architecture, including:Navigating the complexities of multi-cloud and hybrid cloud environments.The secrets to building flexible, resilient data ecosystems that avoid vendor lock-in.Strategies for seamless data integration and connecting disparate applications using low-code/no-code platforms like SnapLogic.Meeting critical data compliance, security, and sovereignty demands (think GDPR, HIPAA, etc.).How AI is revolutionizing data automation and providing faster access to insights (featuring SnapLogic's Agent Creator).The powerful synergy between SnapLogic and MongoDB, leveraging MongoDB both internally and for customer integrations.Real-world applications, from IoT data processing to simplifying enterprise workflows.Whether you're an IT leader, data engineer, business analyst, or simply curious about cloud strategy, iPaaS solutions, AI in business, or simplifying your data stack, Peter offers invaluable insights into making data connectivity a driver, not a barrier, for innovation.-Keywords: Data Integration, Multi-Cloud, Hybrid Cloud, Edge Computing, SnapLogic, MongoDB, AI, Artificial Intelligence, Data Automation, iPaaS, Low-Code, No-Code, Data Architecture, Data Management, Cloud Data, Enterprise Data, API Integration, Data Compliance, Data Sovereignty, Data Security, Business Automation, ETL, ELT, Tech Stack Simplification, Peter Ngai, Shane McAllister.

This week, we're hearing the first of a two-part panel discussion on Data Management as a Service, or DMaaS, with Moser's Brett Canova, Tony Wilhelm, and Brian Woolwine. We'll discuss how DMaaS is transforming the way businesses handle their data, ensuring scalability, security, and efficiency.

Hunter Jensen, the founder and CEO of Barefoot Solutions, discusses the evolving landscape of artificial intelligence (AI) and its practical applications in business. Barefoot Solutions, a custom software development firm, has been at the forefront of technology innovations for over 20 years, adapting to trends from web development to machine learning and generative AI. Jensen emphasizes the importance of understanding specific use cases for AI, particularly in enhancing employee productivity and streamlining workflows. He highlights that while generative AI is currently a hot topic, traditional machine learning applications remain powerful tools for businesses.Jensen shares insights into how generative AI can transform existing information into various formats, making it particularly useful for tasks like document generation and data querying. He points out that many organizations struggle with outdated data systems and governance, which can hinder their ability to leverage AI effectively. By focusing on employee workflows and increasing efficiency, businesses can grow without necessarily hiring more staff, thus driving revenue and reducing costs.The conversation also delves into the importance of data governance and preparation for organizations looking to implement AI solutions. Jensen stresses that foundational data work is crucial for successful AI deployment, as poor data quality can lead to ineffective outcomes. He advocates for a strategic approach to data access, ensuring that employees have the right tools and permissions to utilize AI effectively while maintaining data security.Looking to the future, Jensen predicts a trend toward specialization among AI models, as companies seek to differentiate themselves in a competitive market. He believes that while the current landscape may seem saturated, the demand for specialized AI solutions will grow, leading to more tailored applications for various industries. As the technology continues to evolve, Jensen is optimistic about the potential for AI to drive significant advancements in business operations and decision-making. 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

Welcome to the award-winning FCPA Compliance Report, the longest-running podcast on compliance. In this episode, Tom welcomes Andrew Hopkins, President of PrivacyChain, to discuss the critical intersection of AI, data compliance, and data ownership. Andrew brings his expertise from years of consulting, focusing on outcome-driven business support, and provides a comprehensive overview of the challenges and opportunities in managing and securing data in the age of AI. The conversation delves into the complexities of data security, the inefficiencies of traditional data management systems, and the potential of new technologies to enhance data governance and personal data ownership. Listeners will gain valuable insights into navigating the evolving landscape of data management and the importance of contextual integrity in AI processes. Key highlights: The Intersection of AI, Data Compliance, and Ownership Challenges in Data Management and Compliance Data Governance Shortcomings of Current Data Management Systems Data Integrity and Context Resources: Andrew Hopkins on LinkedIn The Privacy Chain Tom Fox Instagram Facebook YouTube Twitter LinkedIn Learn more about your ad choices. Visit megaphone.fm/adchoices

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