Podcasts about data strategy

Discover how to turn decades of data into a competitive edge, build lasting customer relationships beyond the first click, and apply AI in ways that truly drive impact. Joining us is Vineet Mahajan, CTO of US News & World Report, who shares how he's led the 90-year-old brand through a sweeping digital transformation. From rearchitecting infrastructure to deploying semantic search, generative AI, and agentic tools, Vineet explains how his team is reimagining what a legacy institution can become—and what every tech leader can take from that journey.Key Moments:00:00 Meet Vineet Mahajan, CTO of US News & World Report04:45 How to Unlock the True Value of Your Data09:55 Why First-Party Data Is Key to Building Customer Relationships14:32 What Is Semantic Search and How Can Generative AI Improve UX?18:39 How to Overcome Data Cleaning and Structuring Challenges21:18 How to Evaluate Emerging Tech Trends (Like Agentic AI)25:43 How to Lead Change: Data Governance and Digital Transformation32:38 What's Next for US News & World Report and the Future of AI-Driven Strategy -- Brightspot is the leading content management platform built for modern teams. Your content lifecycle - from ideation to archival - moves faster, handling any volume, variety, or velocity with ease. Unlike legacy platforms that demand heavy dev work and struggle with scale, Brightspot is user-friendly, endlessly customizable, and enterprise-ready. Think dynamic, modern experiences, shipped in minutes—not months. Trusted by some of the world's leading tech organizations, Brightspot reduces total cost of ownership, boosts productivity, and gives you the governance, security, and performance your teams need. Visit brightspot.com/ITVisionaries to learn more.---This episode was produced by the team at Mission.org and brought to you by Brightspot.

We kick off our Summer Playlist 2025 this week with Michelle Finneran Dennedy, Chief Data Strategy Officer at Abaxx Technologies. David Greely sits down with Michelle to discuss why CEOs and organizational leaders are shifting how they view data from seeing it as a risky liability to potentially seeing it as their greatest asset – and what that means for the ways we measure and manage our businesses.

In this solo episode, Cynozure CEO Jason Foster explores what it really means to create value with data and AI and why it can't be treated as a nice-to-have outcome at the end of a project. Jason breaks down a practical, repeatable approach to designing value in from the start, with clear intent, strong foundations, and input-focused delivery. He shares real-world examples and analogies to show how organisations can shift from vague goals to measurable, meaningful impact. This episode is packed with actionable insights for data and business leaders who want to move from theory to practice and ensure their data work truly makes a difference. -------------------------------- Cynozure is a leading data, analytics and AI company that helps organisations to reach their data potential. It works with clients on data and AI strategy, data management, data architecture and engineering, analytics and AI, data culture and literacy, and data leadership. The company was named one of The Sunday Times' fastest-growing private companies in both 2022 and 2023 and recognised as The Best Place to Work in Data by DataIQ in 2023 and 2024. Cynozure is a certified B Corporation. 

You think using AI is your moat? Nope. Just using LLMs isn't enough to power your company's AI success. But do you know the real fuel? Having your data right is the ACTUAL key. So how do you do it? And how does your company's data strategy change with agentic AI? Find out from Deloitte's US Chief Data Analytics Officer, Ashish Verma.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Have a question? Join the convo here.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Transformative Data Strategy for AI SuccessImportance of Data Strategy in AIDeloitte's Data Marketplace ApproachMulti-Agent Orchestration ChallengesStructured vs. Unstructured Data in AISynthetic Data and AI TransformationAgentic AI and Data Labeling EssentialsAI's Impact on Business Value ChainTimestamps:00:00 "AI Success Requires Data Strategy"05:27 Data Integration and Utilization Insights10:31 Contextual Data Marketplace Evolution13:06 Structuring Unstructured AI Insights17:02 Agent Reasoning and Orchestration Insights20:37 Data Annotation Challenges23:39 AI's Impact on Industry Evolution26:09 "Data Strategy: Begin with the End"Keywords:transformative data strategy, AI success, generative AI, non-technical people, data teams, data strategy, business leaders, companies, careers, unedited podcast, livestream, Deloitte, US chief data and analytics officer, data analytics, GenAI, data experiments, third-party data, synthetic data, data marketplace, data concierge, chief data officer, compute environment, deterministic, probabilistic, AI transformation, digital transformation, data minder, CFO, CMO, public domain data, business partner data, metadata, business glossary, technical catalog, agentic AI, multi-agent orchestration, agent registry, agent orchestration, open standard protocols, economic AI, digital transformation strategy, data advantages, structured data, unstructured data, hybrid data, PowerPoint, staffing optimization, resource management, query engine, relevance-ranked search, annotation, data regulation, governance, data procurement, data curation, data feeds, data platforms, information indexing, future predictions.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Try Google Veo 3 today! Sign up at gemini.google to get started. Try Google Veo 3 today! Sign up at gemini.google to get started.

In der dreiteiligen Podcast-Reihe spricht Jonas Rashedi mit den Gästen Michael, Steven und Philipp über die datengetriebene Transformation bei O2 – aus strategischer, operativer und technischer Sicht. Die Serie spannt den Bogen von der Vision eines vernetzten Omnichannel-Vertriebs über konkrete Ansätze im Performance Management bis hin zur technischen Umsetzung einer Customer Data Platform (CDP). Anschaulich wird dabei, wie datenbasierte Kundenerlebnisse entstehen. Klar wird: Der Schlüssel zum Erfolg liegt in der nahtlosen Verbindung von Menschen, Prozessen und Technologie – getragen von einer durchdachten Datenstrategie. Wie übersetzt man eine große Vision in echte Umsetzung? Welche Teams, Technologien und Denkweisen braucht es, um aus strategischen Ideen konkrete Maßnahmen zu machen? Darüber spricht Jonas Rashedi in der zweiten Folge dieser Reihe mit Steven Burkhardt, Head of Digital Analytics und Performance Management bei O2. Steven steht dabei genau an der Schnittstelle zwischen den Disziplinen: IT, Vertrieb, Marketing, Brand, Customer Service – und vor allem Daten. Das Gespräch zeigt, wie wichtig ein funktionierendes Zusammenspiel zwischen analytischer Tiefe und technologischem Fundament ist. Die Customer Data Plattform wird bei O2 nicht nur als Buzzword verwendet, sondern konsequent als Bindeglied zwischen Kanälen, Identitäten und Prozessen gedacht. Auf dieser Basis entstehen übergreifende Use Cases – von Lead Management bis Next-Best-Offer. Spannend ist dabei auch der Ausblick: AI-Modelle werden eingesetzt, um Sales Calls zu analysieren, Prozesse zu verstehen und sogar Service-Bots mit dem Wissen echter Gespräche zu trainieren. So entsteht Schritt für Schritt eine Architektur, die bereit ist für eine Zukunft, in der Kunden nicht mehr nur über Website und App interagieren, sondern per Bot, Sprache oder Device. Steven erzählt dabei sehr reflektiert von der Realität im Konzern – zwischen Legacy-IT, regulatorischen Anforderungen und der ständigen Abwägung zwischen „Build“ und „Buy“. Das alles macht diese Folge zu einem intensiven Deep Dive in eine der spannendsten Data-Reisen, die gerade in Deutschland passieren. MY DATA IS BETTER THAN YOURS ist ein Projekt von BETTER THAN YOURS, der Marke für richtig gute Podcasts. Zum LinkedIn-Profil von Steven: https://www.linkedin.com/in/stevenburkhardt/ Zur Webseite von O2 Telefónica: https://www.telefonica.de/Zu allen wichtigen Links rund um Jonas und den Podcast: https://linktr.ee/jonas.rashedi 00:00 Intro & Kontext zur Folge 01:07 Warum diese Folge auf Michael aufbaut 02:31 Stevens Rolle bei O2 und Zusammenarbeit mit Michael 05:10 Aufbau der Teams und CDP-Initiativen 07:08 Attribution, Journey-Verständnis & Kanalverknüpfung 10:25 Bots, AI und die Vision für die Kundenschnittstelle 13:13 Umsetzung der CDP & Hürdenlauf durch Cookieless 16:18 Digitale Tools in Shops & Touchpoint-Verknüpfung 17:56 Next-Best-Action & kanalübergreifendes Lead Management 21:01 Herausforderungen mit Legacy-IT & Multicloud 24:49 Analyse von Service-Calls & Feedback mit AI 27:05 Digitalisierung, Process Mining & Datenarchitektur 30:29 Cloud, Security & Regulatorik im Konzern 32:58 Self-Service Reporting & Data Mesh Ansätze 35:52 Dashboards & Bots 39:55 Von SEO zu Bot-Optimierung 41:05 Private Datennutzung

In Episode 29, of Season 5 of Driven by Data: The Podcast, Kyle Winterbottom was joined by Sam Hancock, Global Head of Data Science at Octopus Energy. Sam shares his unconventional career journey from Capital One to Google and Waymo and ultimately to Octopus Energy, where he focuses on leveraging data to drive the company's mission of accelerating the energy transition. The conversation explores the balance between data-driven decision-making and instinct, the unique culture at Octopus Energy, and the company's innovative approach to sustainability and customer service. Sam and Kyle explore the critical role of data and AI in driving sustainability within the energy sector and they discuss the challenges of integrating data into business practices, the importance of fostering relationships across teams, and the innovations in energy management that can help achieve sustainability targets. The conversation also delves into the complexities of carbon emissions, the electrification of industries, and the potential of smart tariffs to optimize energy usage. Overall, the discussion highlights the need for collaboration and innovative solutions to address the pressing challenges of climate change.Takeaways:Sam Hancock's journey includes roles at Capital One, Waymo, and Octopus Energy.He emphasizes the importance of diverse experiences in shaping his current role.Octopus Energy is focused on accelerating the energy transition.The company is customer-obsessed and aims to disrupt the energy sector.Sam's role allows for entrepreneurial freedom in data strategy.Balancing data-driven decisions with instinct is crucial for innovation.Octopus Energy's culture encourages entrepreneurship and high standards.The company has ambitious targets for customer growth and sustainability.Data is a strategic asset at Octopus, with significant data ingestion capabilities.The tech platform developed by Octopus is designed for the energy sector. Understanding the data challenge is crucial for effective pricing.Data integration should start at the beginning of business processes.Building relationships within teams enhances data-driven decision-making.Electrification is key to achieving net-zero emissions.Smart tariffs can optimize energy usage based on grid demands.AI systems are essential for managing the energy transition.Data centres can be a force for good in sustainability efforts.Zonal pricing could incentivize greener energy usage.Companies need to be transparent about their carbon emissions.Nature-based solutions and carbon capture are vital for sustainability.Chapters:00:00 Introduction to Sam Hancock and His Journey01:00 Career Path: From Capital One to Waymo04:30 Transition to Climate Tech and Octopus Energy07:20 Overview of Octopus Energy's Mission and Operations09:48 Sam's Role and Data Strategy at Octopus Energy13:16 Balancing Data and Instinct in Decision Making18:28 The Unique Culture and Vision of Octopus Energy22:12 Leveraging Data as a Strategic Asset25:17 Understanding the Data Challenge28:10 The Role of Data in Sustainability31:31 Innovations in Energy Management37:39 Navigating Carbon Emissions and Sustainability Targets42:15 The Intersection of Data and Energy Solutions...

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!

Step into the future of policing where data is a mission-critical asset. Cindi Howson talks with Aimee Smith, Director of Data at the Metropolitan Police, about the Met's bold data transformation—from digitizing records dating back to 1829 to using AI and cloud tech for smarter, faster decisions. Hear how initiatives like the V100 program and real-time analytics help improve city safety. Key Moments: Genesis of the Met's Data Strategy (03:35) - The Met's data strategy's origin is traced to former Commissioner Cressida Dick's leadership, who envisioned leveraging data to transform policing, leading to a program building data capabilities and broadening analytics use beyond traditional intelligence and performance applications.  Mission with Data and AI (13:34): The Met's overarching mission to use data and AI for precise decision-making is articulated, acknowledging the complexity of policing's multiple goals: crime prevention, incident response, organized crime intervention, victim service, and custody safety.  Infrastructure Evolution (15:18): The transformation of the Met's data infrastructure over 5 years, from 8 separate operational systems to an integrated one with cloud technology adoption, is described, enhancing analytics and data science capabilities.  V100 Initiative (19:58): The V100 initiative, a data and analytics effort to reduce violence against women and girls by prioritizing individuals with a history of harm, is explained.  Concert Security Powered by Analytics (27:50): The use of ThoughtSpot by frontline officers is illustrated with a sergeant's innovative application for analyzing crime data around events like the Taylor Swift Eras tour to improve policing plans.  AI Agent Development (36:37): An innovative project to build an AI agent that assists frontline officers at crime scenes by providing real-time guidance is outlined, aiming to improve public protection and investigative outcomes.  Key Quotes:“So if an officer wants to start being able to do their own searches, creating their own sort of planners, thinking about doing their own trend analysis essentially, of crime data, which is great, isn't it? I mean, that's just exactly how you want ThoughtSpot to be used. Every officer has access to that.” - Aimee Smith"I like to think of it as a utility belt—you know how cops wear their utility belt? Well, hanging on there is this ThoughtSpot tool. A sergeant invented a way to use it for planning major events, concerts, to make sure our presence is right. And now that's replicable by other people who want to do the same thing." - Aimee Smith"One of the 5 principles of our business strategy for London to keep it safe is to be more precise in the use of data for decision making. So it's a high-level principle of our strategy. That makes data and analytics much harder, because there aren't enough data specialists and too many data parts to point at all those missions in one go.” - Aimee SmithMentionsMet Police's V100 InitiativeMet Police Develops an Open Data Strategy with the Open Data InstituteMet Police's Concert Preparation for Taylor Swift's Eras Tour Cressida Dick Reflects on Public Trust in the Digital Age The Data Protection ActGuest Bio Aimee Smith's distinguished career in the Metropolitan Police Service (MPS) spans almost a quarter-century, truly a testament to her profound dedication to integrating robust data into the very core of police decision-making. She embarked on her journey in 2001 as an Intelligence Analyst, steadily rising through the ranks. By 2014, her leadership capabilities led her to head UK Policing's largest Confidential Intelligence Unit. A pivotal "light-bulb moment" crystallized for her the critical importance of effective data management in driving operational outcomes, inspiring her to passionately spearhead the comprehensive MPS data transformation program. In a landmark achievement, Aimee was appointed as the first Director of Data for the MPS, where in 2019, she successfully established the inaugural Data Office within law enforcement, fundamentally reshaping how the service leverages its information. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

In this episode, host Sandy Vance sits down with Rob Stein of C2 Solutions, a division of Intellias, to explore how smart hospitals and connected device technology are reshaping the future of healthcare—both inside the hospital room and across rural communities.From defining what makes a hospital truly "smart" to navigating the challenges of interoperability and integration, this conversation offers a clear-eyed look at what it takes to go digital in healthcare today. Rob shares how Intellias is helping healthcare organizations modernize infrastructure, drive better patient outcomes, and expand care delivery beyond hospital walls.Whether you're a health IT leader, provider, or innovator looking to stay ahead of digital trends, this episode offers insights into the real-world challenges and opportunities of building smarter, more connected care systems.In this episode, they talk about:

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!

"We want to foster an environment of continuous improvement."

Today's guest is Daniel Ferrante, AI Leader in R&D and Data Strategy at Deloitte. Daniel joins Emerj CEO and Head of Research Daniel Faggella on today's show to delve into the intersection of AI, data strategy, and research and development across industries such as agriculture, life sciences, and materials science. Ferrante breaks down the core challenges organizations face in harnessing data to unlock AI's potential and drive efficiencies in R&D processes. Ferrante also emphasizes the importance of contextualizing data through a multimodal framework — Deloitte's Atlas — to bridge gaps between disparate datasets and ontologies. He outlines how AI models, including large language models (LLMs), can be leveraged to label and map complex data landscapes. This episode is sponsored by Deloitte. 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!

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!

Event costs are climbing. Expectations are higher. And marketers are being asked to do more—with less.In this episode, Rockway Exhibits + Events' CEO Matt Kleinrock and Director of Marketing Coty Adams break down what's really going on in the events industry right now—using fresh data and trends Matt's been tracking across the field.They'll talk about:✅ What today's rising costs mean for your 2025 planning✅ The metrics that actually matter (and how to align around them)✅ Smart ways to reframe your strategy—even if your budget's been slashedIf you're tired of recycled playbooks and ready for a clearer, more creative path forward, this one's for you.--------------------- Connect With Us:Matt Kleinrock: https://www.linkedin.com/in/matt-kleinrock-9613b22b/Coty Adams: https://www.linkedin.com/in/cotykadams/Our Company: https://rockwayexhibits.com/ 

For many community banks, embarking on a data strategy can feel like an overwhelming endeavor. Limited resources, small teams, and the misconception that “big data” is only for large institutions often lead to inertia. But as discussed in the latest Risk Intel episode with Jeff Fink, the real differentiator in today's competitive banking landscape is not size—it's mindset. Follow us to stay in the know!

Wie baut man erfolgreich Datenstrategien in einem Mobile-Gaming-Startup auf? Wie findet man schnell heraus, ob sich das Data-Investment lohnt und welche Stolpersteine gibt es dabei? In dieser spannenden Episode von MY DATA IS BETTER THAN YOURS spricht Host Jonas Rashedi mit Moritz Schöne, Head of Data Science bei Lessmore. Moritz berichtet, wie man von einer einfachen MVP-Lösung zu einem komplexen, datengetriebenen Ansatz gelangt und welche Herausforderungen dabei zu meistern sind. Dabei teilt er wertvolle Einblicke, etwa wie Lessmore präzise Customer Lifetime Value Modelle erstellt und warum schnelle Prototypen oft mehr bringen als perfekte Langzeitlösungen. Abgerundet wird das Gespräch durch Moritz' persönliche Erfahrungen – von der Physik bis zur Game-Welt. MY DATA IS BETTER THAN YOURS ist ein Projekt von BETTER THAN YOURS, der Marke für richtig gute Podcasts. Zum LinkedIn-Profil von Moritz: https://www.linkedin.com/in/moritz-sch%C3%B6ne-phd-93a8a9232/ Zur Webseite von Lessmore Games: https://lessmore.games/ Zu allen wichtigen Links rund um Jonas und den Podcast: https://linktr.ee/jonas.rashedi 00:00:00 Intro & Begrüßung 00:01:09 Vorstellung Moritz 00:02:41 Von der Physik zu Mobile Games 00:06:53 Datenarten im Gaming 00:12:12 Data-Use-Case 00:23:56 Aufbau einer Datenarchitektur 00:35:04 Lessons Learned bei Lessmore 00:41:38 Data-Erfolge und Exit an Miniclip 00:42:37 Private Datennutzung & Filmtitel

This episode is sponsored by Oracle. OCI is the next-generation cloud designed for every workload – where you can run any application, including any AI projects, faster and more securely for less. On average, OCI costs 50% less for compute, 70% less for storage, and 80% less for networking. Join Modal, Skydance Animation, and today's innovative AI tech companies who upgraded to OCI…and saved.    Offer only for new US customers with a minimum financial commitment. See if you qualify for half off at http://oracle.com/eyeonai  In this episode of Eye on AI, host Craig Smith speaks with Prashanth Chandrasekar, CEO of Stack Overflow, about how one of the internet's most trusted platforms for developers is adapting to the era of generative AI. With over 60 million human-curated Q&A pairs, Stack Overflow is now at the center of AI development — not as a competitor to large language models like ChatGPT, but as a foundational knowledge base that powers them.   Prashanth breaks down how Stack Overflow is partnering with OpenAI, Google, and other LLM providers to license its data and improve AI accuracy, while also protecting the integrity of its community. He explains the rise of OverflowAI, how Stack Overflow for Teams is fueling enterprise-grade co-pilots, and why developers still rely on expert human input when AI hits its “complexity cliff.” The conversation covers everything from hallucination problems and trust issues in AI-generated code to the monetization of developer data and the evolving interface of the web.   If you want to understand the future of developer tools, AI coding assistants, and how human knowledge will coexist with autonomous agents, this episode is a must-listen.   Subscribe for more deep dives into how AI is reshaping the world of software, enterprise, and innovation. Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI (00:00) Intro (02:31) Prashanth's Journey from Developer to CEO   (05:18) Why Stack Overflow is Different from GitHub   (08:51) The Power of Community and Human-Curated Knowledge   (12:53) Stack Overflow's Data Strategy for AI Training   (17:26) Why Stack Overflow Isn't Competing with OpenAI   (20:36) How Stack Overflow Powers Enterprise AI Agents   (26:13) OverflowAI, Gemini, and the Future of Dev Workflows   (30:09) Inside Stack Overflow for Teams   (33:29) Safeguarding Quality: The Fight Against AI Slop   (38:32) Licensing, Attribution, and Protecting the Knowledge Base   (43:19) Business Strategy in the Age of Generative AI  

Dia Adams and Gordon Wong join me for a chat about data strategy in the age of AI.

How do you balance guest experience with data security in an industry built on personal connections? In this episode of The Turndown, Claudia Infante, Chief Data Officer at Margaritaville, shares her perspective on the evolving role of technology in hospitality—what's working, what's missing, and what needs to change.   From guest data management to AI and facial recognition, Claudia breaks down how hotels can leverage technology without losing the heart of hospitality. She also shares her thoughts on the next generation of industry leaders and why seamless tech integrations are still one of the biggest pain points in hospitality. Plus, we hear about her career journey from banquet server to hospitality tech leader and what earning a Lifetime Achievement Award means to her.  

In this episode of Tech Sales Insights, Randy Seidl is joined by Dave and Joe O'Callaghan, co-founders of Vation, about their journey and experiences as a father-son duo in the tech industry. They discuss the importance of go-to-market strategies and what leaders can learn from the innovation ecosystem. Sponsored by Sandler, a sales training provider, the discussion delves into the significance of sales training, especially for first-line managers, and explores the evolving roles of technology leaders. Joe and Dave share insights on the challenges emerging tech companies face, the importance of execution and humility, and the growing role of AI and data security. They also highlight the importance of cold calling, the shift in sales training needs, and the evolving skill sets required in the tech industry.KEY TAKEAWAYSFirst Father-Son Duo: Episode features Dave and Joe O'Callaghan, co-founders of Vation Ventures, discussing their father-son dynamic. Business Focus: Highlight on go-to-market strategies from the innovation ecosystem. Importance of Sales Training: Emphasized by Sandler, focusing on training necessity due to promotions during COVID. AI and Security: Special focus on AI trends and the importance of secure AI. Channels and Relationships: The enduring importance of trusting relationships in the channel for effective advice and sales. Cold Calling: Seeing a resurgence, combined with high-quality, AI-supported research. Mentorship and Humility: The fundamental value of being humble, inquisitive, and learning from great mentors. Innovation and Execution: Balancing innovation with execution in today's rapidly evolving technology landscape.QUOTES"Innovation is hard. Innovation at scale is really, really hard." "Humility and inquisitiveness are key in driving innovation and leading teams." "The only person that likes to hear you talk about yourself is your mom." "Distributors can lean into orchestrating everything from Dataiku to Cisco Meraki for a comprehensive solution."Find out more about Dave & Joe O'Callaghan through the link/s below:Dave O'Callaghan's LinkedIn: https://www.linkedin.com/in/daveo4/Joe O'Callaghan's LinkedIn: https://www.linkedin.com/in/joeyocallaghan/This episode is sponsored by Sandler. Sandler is a world leader in innovative sales, leadership, and management training. For more than 50 years, Sandler has taught its distinctive, non-traditional selling system and highly effective sales training methodology, which has helped salespeople and sales managers take charge of the process.

In this episode I speak to Ben Cohen, former Global Head of Data Strategy at WorldQuant and now on gardening leave before his next opportunity.In our conversation, Ben and I talk about the data sourcing role, how it has changed, who to hire for a team, how the data world is changing and the impact of AI.Separately, I will be interviewing Abraham Thomas on stage for Neudata next week in New York, which I am thoroughly looking forward to.DISCLAIMERThis podcast is an edited recording of an interview with Ben Cohen recorded in May 2025. The views and opinions expressed in this interview are those of Ben Cohen and Mark Fleming-Williams and do not necessarily reflect the official policy or position of either CFM or any of its affiliates. The information provided herein is general information only and does not constitute investment or other advice. Any statements regarding market events, future events or other similar statements constitute only subjective views, are based upon expectations or beliefs, involve inherent risks and uncertainties and should therefore not be relied on. Future evidence and actual results could differ materially from those set forth, contemplated by or underlying these statements. In light of these risks and uncertainties, there can be no assurance that these statements are or will prove to be accurate or complete in any way. Hosted on Acast. See acast.com/privacy for more information.

With the median company now using three salary data sources—and four or more for larger organizations—it's clear that more data is the norm. But more doesn't always mean better. Are you truly getting the most out of your investment in compensation data? Or just adding complexity without clarity?In this episode, we break down what an effective compensation benchmarking strategy really looks like—and how to use multiple data sources strategically, not just simultaneously.Resources: 2025 Compensation Best Practices Report Quick Guide - Aggregate salary data strengthens job pricing confidence What's the price of free salary data? Why salary surveys are so darn popular 

Gam Dias is a seasoned technologist and entrepreneur with a rich background in software engineering, AI, and product innovation. As a consultant, he has helped write the data strategy for Fortune Global 500 companies, innovative startups, and ambitious non-profits. He has a degree in Computer Science from the University of Liverpool and an MBA from Warwick Business School. Gam has lived in London, Leeds, Salt Lake City, Santa Cruz, San Francisco, and he currently lives in and works from Madrid, Spain. Gam's latest work, Agents Unleashed, distills years of experience into a compelling look at the rise of autonomous AI agents and their growing role in marketing, sales, and beyond.  References: Gam Dias on LinkedIn Agents Unleashed (Amazon) Agentforce (Salesforce) Gam Dias: on privacy, agency, convenience, and freedom (Masters of Privacy, 2021)  Hubbl Process Analytics Diana Stern and Dazza Greenwood, From Fine Print to Machine Code: How AI Agents are Rewriting the Rules of Engagement (Stanford Law School)  

What does it really take to modernize a retail company's approach to data?In this episode of The Marketing Intelligence Show, we sit down with Sophie Buresi, Global Data and CRM Factory Director at ETAM Group. Sophie shares how the team moved from legacy systems and disconnected tools to a modern, cloud-based setup that supports smarter segmentation, marketing measurement, and decision-making. You'll learn:How ETAM built their retail data strategy from the ground upWhat it takes to turn business goals into practical data projectsHow the team redesigned customer segmentation for real-world useThe steps they took to bring marketing mix modeling in-houseWhy data quality and team alignment were key to long-term successWhether you're in retail or just navigating data transformation, this episode offers an honest look at the real work behind building a strategy that sticks.

What does the future hold for businesses striving for success? This episode explores the convergence of Cloud ERP, Artificial Intelligence, and sustainability, and how these elements are reshaping the business landscape. Peter Pluim discusses how businesses can harness data for sustainability insights, AI-driven automation, and process optimization. Discover how a connected enterprise can make informed choices within its supply chain, balancing price, delivery speed, and environmental impact. Learn how AI is transforming the user experience and driving the need for integrated suites that break down traditional application silos. Gain insights on navigating complex trade-offs, making better decisions through enhanced visibility, and empowering stakeholders with informed choices.

In this episode of our 'Don't Panic, It's Just Data' podcast series, Christina Stathopoulos, Founder at Dare to Data, speaks with Matthew Cawsey and Arnjah Dillard from Stibo Systems. Matthew and Arnjah explain the importance of CMDM and CXDC for maintaining positive customer engagement. Learn how to move from basic personalisation, ethically use data, leverage AI for a better customer experience. Let's transform your messy data into a competitive advantage.

964: Caterpillar is celebrating 100 years of innovation—and it's just getting started. In this episode of Technovation, host Peter High welcomes Jamie Engstrom, CIO and SVP of IT at Caterpillar, to discuss how the industrial giant is evolving through data strategy, digital transformation, and customer-centric innovation. Jamie shares her insights on leading a global IT organization of 2,200 professionals, the company's customer-back mindset, and how Caterpillar leverages AI, telematics, and real-time analytics to support over 4 million assets across the globe. From smart manufacturing to supply chain modernization and condition monitoring systems, Jamie explores how Caterpillar is shaping the next century of industrial excellence.

How do you collect the right data for your business, and once you have it, how should you respond? In this episode, Path for Growth coach Matt Aiken joins the podcast to talk about a data-driven approach to leadership. He shares 5 key principles for growing your business based on data. Matt and Alex also share a new perspective for leaders who might feel less comfortable with numbers and figures, reminding us that good data is ultimately telling a story. -----------------------------------Information isn't the gap between failure and success—action is. Path for Growth's 1-on-1 coaching helps you create a plan and execute on what matters most for your business. Apply today at pathforgrowth.com/coaching.-----------------------------------Episode Recap:Why is data-driven business so important to you?If you're uncomfortable with the concept of data, think of it as a storyWhat gets measured gets managedBridging the knowing/doing gap requires proactive leadershipWise strategy is rooted in healthy single-mindednessWisdom does not come from experience, it comes from evaluated experienceDecisions are bets, not certaintiesTomatoes are fruits, but don't put them in a fruit salad! Resources:Follow the podcast on Apple or SpotifyTry Path for Growth 1on1 Coaching Free for 14 DaysDownload the Free Reading GuideJoin us for our 2025 Experience – Long Game Leadership Listen to Matt's previous Path for Growth episode-----------------------------------If you're ready to move beyond just gathering information and start executing on what truly matters, Path for Growth's 1-on-1 coaching can help. Apply now at pathforgrowth.com/coaching.-----------------------------------Connect with our Founder Alex Judd on LinkedIn and InstagramTranscript:Click here to view the episode transcript.

Matt Ober, CAIA shares his journey from data scientist at Bloomberg to becoming the head of data strategy at a hedge fund, and later transitioning into venture capital with Social Leverage. We discuss into the expanding role of data in financial services, the strategies employed by hedge funds, and the future of alternative data. A rare opportunity to rethink the business of financial market data.LINKSMatt on Linkedin: https://www.linkedin.com/in/obermattj/Matt's Newsletter: https://www.mattober.co/Social Leverage: https://www.socialleverage.com/Initial Data Offering: https://initialdataoffering.com/

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

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

In this episode, hosts Kayla Rohde and Bill Whalen are joined by Trey Johnson, Data Analytics Solution Specialist, and Daryl Moll, Data Engineering Director at Velosio, to delve into the intricacies of preparing data for AI adoption. The discussion covers best practices for ensuring data quality, security, and effective planning, while sharing success stories from various business sectors. The guests also explore the future potential of AI in enhancing business processes and decision-making, addressing challenges such as data integration and governance. Tune in to gain valuable insights from experts who are at the forefront of data and analytics solutions. About Our GuestsTrey Johnson is a published author, speaker, and consultant with over 30 years of experience in business intelligence, data management, and analytics. As a Data Analytics Solution Specialist at Velosio, Trey leads the practical application of Microsoft Fabric and Power Platform, collaborating with internal teams and clients to deliver innovative solutions that drive data-driven insights and optimize business outcomes. His expertise spans operational leadership, team building, and leveraging Microsoft technologies to help organizations achieve their goals.Daryl Moll is a seasoned technology leader with over 25 years of experience in IT, cloud architecture, and data solutions. As the Data Engineering Director at Velosio, Daryl specializes in generative AI, Microsoft SQL, Dynamics ERP and CRM, Power Platform, and Microsoft 365. With a deep understanding of public and private cloud technologies, virtualization, and Microsoft's server platforms, Daryl drives innovative solutions that optimize business operations and deliver exceptional results for clients. About VelosioVelosio is a leading cloud applications services partner, specializing in helping companies modernize applications, simplify operations, and leverage data for better decision-making. With over 30 years of experience, Velosio offers a comprehensive range of solutions, including ERP, CRM, data analytics, AI, and automation. Their team of 450 business professionals and industry experts is dedicated to empowering clients to achieve their most ambitious goals through innovative technology and proven methodologies Explore More from Velosio: Learn more about Velosio on their website: https://www.velosio.com/ Unlock the power of data-driven insights and elevate your business's profitability and growth by downloading Velosio's expert guide, Leading with Purpose found here: https://www.velosio.com/go/data-driven-insights-for-business-leaders/?utm_medium=syndication&utm_source=digestible-dynamics-podcast Hosted on Acast. See acast.com/privacy for more information.

We're hearing more about the significance of data than ever before, but what's actually involved in leading a successful data strategy initiative? In the first episode of our Humanizing Data Strategy series, we discuss how you can build the foundations of a strong data strategy in your own organization. If you're a data leader looking to bolster your data strategy for the future, this podcast is for you.   Host: Markus Buhmann, Data Strategy Principal, Thoughtworks   Guests:  Tiankai Feng, Head of Data Strategy & Governance, Thoughtworks Asmaa Hechenberger, Data Engineering Lead, WWK Lebensversicherung  

Health systems face mounting pressure to leverage data for clinical and operational excellence, but innovation without a solid foundation can be counterproductive. Kiran Mysore, Chief Data Analytics Officer at Sutter Health, emphasizes that true data-driven transformation hinges on balancing innovation with disciplined data management. Scroll down to watch or listen to the full interview; or […] Source: Sutter Health's Data Strategy: Quality & Trust Keys to Spurring Innovation on healthsystemcio.com - healthsystemCIO.com is the sole online-only publication dedicated to exclusively and comprehensively serving the information needs of healthcare CIOs.

Andy Leonard and Frank La Vigne delve into the exciting world of AI and growth marketing with the renowned Lillian Pierson. Lillian, a globally recognized AI growth strategist and author. She shares her unique journey from engineering to data science and her role as a fractional CMO. She provides deep insights into leveraging AI to revolutionize marketing and growth strategies, discusses breaking down the barriers in early data science, and explores the rise of agentic AI. This conversation is filled with valuable knowledge, humor, and a reality check on the evolving tech landscape. Tune in to explore how AI and data-driven approaches are transforming industries and why Data Driven is a top pick for AI enthusiasts.Moments00:00 "Interview with AI Expert Lillian Pearson"04:18 Earning a Professional Engineering License09:21 Evolution of Data Science Disciplines11:08 Career Pivot to Success14:01 Data Strategy and AI Insights19:19 Marketing's Role in Product Growth21:58 Customer Advocacy in Product Development26:16 Exploring AI for Content Automation28:28 OpenAI Trained on My Style30:51 Frank's Podcast Automation Expansion33:22 "Delegation vs. Self-Management Discussion"37:45 Decoupled, Resilient System Communication41:57 Clay-Powered Decision Tech Critique45:41 AI Is Essential in Business49:09 Debating with ChatGPT's Perspectives50:23 Google AI: Generative Podcast Tool56:11 Big Data Fallacies Explored

S1 Ep#30: From Engineering to Data Strategy: Driving AI and Decision-Making The Data Product Management In Action podcast, season 1, is brought to you by Soda and executive producer Scott Hirleman, is a platform for data product management practitioners to share insights and experiences. Our guest this week is Theo Bell, a data product manager. She chats with host Nick Zerviudis and shares her transition from mechanical engineering to roles at Goldman Sachs and Palantir, emphasizing the importance of data integration in strategic decision-making. She discusses how Palantir helped a manufacturer prioritize client orders during raw material shortages and explores the challenges of convincing stakeholders to adopt new data models, advocating for production-ready pilots over proof-of-concepts. Theo also offers insights on fostering AI adoption within organizations, using a news summarization tool for a CEO as an example. She recommends the GTD framework and Surrounded by Idiots for enhancing productivity and communication. About our Host Nick Zervoudis: Nick is Head of Product at CKDelta, an AI software business within the CK Hutchison Holdings group. Nick oversees a portfolio of data products and works with sister companies to uncover new opportunities to innovate using data, analytics, and machine learning. Nick's career has revolved around data and advanced analytics from day one, having worked as an analyst, consultant, product manager, and instructor for startups, SMEs, and enterprises including PepsiCo, Sainsbury's, Lloyds Banking Group, IKEA, Capgemini Invent, BrainStation, QuantSpark, and Hg Capital. Nick is also the co-host of London's Data Product Management meetup, and speaks & writes regularly about data & AI product management. Connect with Nick on LinkedIn and through his newsletter, Value from Data & AI. About our Guest Theo Bell: Theo is the Head of AI Product at Rimes, where she leads the company's efforts to leverage AI technology in order to provide cutting-edge data management solutions to clients. Previously, Theo held key roles at Palantir Technologies and Goldman Sachs, where she enabled various industries to leverage data through AI/ML-driven software, notably Airbus' Skywise platform, the NHS, and the UK Ministry of Defense. Theo is dedicated to using AI and technology for global challenges, particularly in improving health, enhancing society, and fostering sustainable businesses. She holds a PhD in Engineering from the University of Cambridge.  Connect with Theo in LinkedIn. All views and opinions expressed are those of the individuals and do not necessarily reflect their employers or anyone else.  Join the conversation on LinkedIn.  Apply to be a guest or nominate someone that you know.  Do you love what you're listening to? Please rate and review the podcast, and share it with fellow practitioners you know. Your support helps us reach more listeners and continue providing valuable insights!    .

Data is the lifeblood of any organization, including government. And in today's digital age, there are very real questions about whether governments are capable of managing the enormous amount of data that is now collected. We're no longer in an era where data was created at human scale with pen and paper on a government form. Instead, governments are increasingly being flooded with an avalanche of digital data from a huge number of sources. And there are high expectations that governments are able to use these data points to make better decisions, that data is managed responsibility, and that the people in government have the ability to consume all of this data in an increasingly complex world.Not only that, but governments now need to be prepared for the rapid evolution of artificial intelligence and the increasing incorporation of machine learning models, semantic analysis, and algorithmic decision-making applications in programs and service delivery. These are technologies built on big data, and governments need to be prepared to leverage them in the public interest.So this week, we're talking to three people (and one Artificial Intelligence!) who have been thinking deeply about the policy and capacity challenges that governments need to get ahead of when it comes to their data posture.Our first conversation is with Maddy Dwyer, a Policy Analyst from the Center for Democracy and Technology. Maddy has been conducting research on the tension between leveraging data to improve the lives of citizens, including those from marginalized communities, and the dangers if we don't do this responsibility. This conversation took place last November on the conference floor at FWD50 in Ottawa.The second conversation is with Anna Wong, a Director at the Government of Canada's Treasury Board Secretariat, and Trevor Banks, Manager of Digital Organisational Design in the same team. They have been working on efforts to support organizational change across the Federal government to establish clear accountabilities and responsibilities for Chief Data Officers and other senior digital and data leaders across the public service to help them manage the quickly rising expectations of government in the age of AI.And, as a fun little experiment, our third conversation is directly with what is perhaps the most famous AI model in the world these days: OpenAI's ChatGPT. Using ChatGPT's voice input/output feature we ask it what it thinks about all of these issues around data and AI in government we're hearing about. Ryan also asks it his favourite hard-hitting AI question: does it think it is smarter than his cats?Watch on YouTubehttps://www.youtube.com/watch?v=UgB7KcmXaZARelated LinksMaddy Dwyer's research at the Center for Democracy and Technology2023-2026 Data Strategy for the Federal Public ServiceThe Evolving Role of the Chief Data Officer, report by the Institute on GovernanceChapters00:00 Introduction03:02 Maddy Dwyer 20:54 Anna Wong and Trevor Banks46:36 Interview with ChatGPT1:01:37 Conclusion

From our Sponsors at SimmerGo to TeamSimmer and use the coupon code DEVIATE for 10% on individual course purchases.The Technical Marketing Handbook provides a comprehensive journey through technical marketing principles.Latest content from Juliana & Simo#GTMTips: Quickly Duplicate Tags In Google Tag Manager by Simo AhavaSend App Data To Server-side Google Tag Manager by Simo AhavaHow to Nail Client Discovery using 10 Behavior Science Principles by Juliana JacksonHow to Measure AI ROI in CX: The Value Chain Framework by Juliana Jackson This podcast is brought to you by Juliana Jackson and Simo Ahava. Intro jingle by Jason Packer and Josh Silverbauer.

In this episode of the Fail Faster Podcast, Gurdeep Singh, a seasoned solution architect at Chubb with over 25 years in the technology sector, shares his fascinating journey from dismantling radios in his childhood to tackling large-scale modernization projects in financial services. Gurdeep discusses the complexities of legacy system transformation, navigating organizational resistance, and the power of aligning business and technology for impactful change. He also shares his insights on leveraging AI responsibly, building strong data foundations, and fostering collaboration across all levels of an organization. Packed with lessons learned from career-defining challenges and forward-looking strategies, this episode is a must-listen for anyone aiming to modernize systems while keeping people at the heart of innovation.

In this episode, we sit down with Venkata Bhonagiri, Senior Partner and Group Director of Strategy & Analytics at Mindshire. Venkat shares his incredible story, from growing up in a small, remote town in India to navigating the culture shock of moving to a major city and eventually immigrating to the U.S. Along the way, he overcame numerous challenges, including limited economic and cultural resources, and forged a path to success in the field of Advertising. Tune in to hear his inspiring story of resilience and perseverance and how he generously gives his time and wisdom to the student, immigrant and advertising community. Bio: Venkata Bhonagiri is data strategy and analytics leader based in Chicago. He has over 15+ years of experience in media, business strategy, insights, and analytics. He developed, integrated, and scaled core service offerings, for large media organizations. In his current role, he spearheads cross channel data-driven planning, audience strategy, and implementation of bespoke data solutions for major brands across CPG, FinServ, Health Care sectors. He co-led several winning business pitches in the advertising industry.He contributed to award-winning work at Cannes Lions and has been recognized by AdColor, Cynopsis and other ad industry favorites who advocate and celebrate talent. Venkat's accomplishments also extend to being a contributing Expert panelist, featured in Forbes, Ad Age and WARC.

In this episode, Amir sits down with Spencer Lourens, Chief Data Officer at CLA, to discuss the intersection of business strategy and data strategy. Spencer shares his insights on aligning organizational goals with data initiatives, understanding stakeholder priorities, and balancing short-term wins with long-term strategies. This conversation is a must-listen for anyone navigating the complex relationship between business needs and data-driven solutions. Key Takeaways: Start with the Business Problem: Effective data strategies begin with understanding the core business problems and goals. Spend Time with Stakeholders: Building relationships and truly understanding stakeholder pain points are essential for creating impactful data solutions. Balance Effort and Impact: Prioritize initiatives based on their potential business value versus the effort required to execute them. Short-Term Wins vs. Long-Term Goals: Ensure that short-term solutions align with broader business strategies to avoid creating unnecessary technical or data debt. Transparency is Key: Sharing the "why" behind decisions fosters collaboration and alignment across teams. Highlights: [00:01:00] Introduction to CLA and Spencer's RoleSpencer describes CLA's multifaceted professional services and his responsibilities as Chief Data Officer. [00:02:21] Listening for Pain Points and Visionary TriggersHow Spencer identifies key business challenges and stakeholder priorities during meetings. [00:05:11] Taking the Time to Understand ProblemsWhy building meaningful relationships and thoroughly understanding business issues leads to better solutions. [00:07:00] The Importance of a Proof-of-Concept PhaseSpencer highlights the value of small, exploratory projects in refining strategies and solutions. [00:10:00] Balancing Stakeholder ExpectationsStrategies for managing competing priorities and making tough decisions as a data leader. [00:15:26] Short-Term Wins vs. Long-Term SolutionsThe challenges of delivering quick results while staying aligned with long-term objectives. [00:20:00] Addressing Data Debt in the Age of AISpencer shares his perspective on tackling data debt and integrating AI into data strategies. Closing Thoughts: Spencer Lourens offers a grounded approach to aligning data and business strategies, emphasizing the importance of collaboration, transparency, and thoughtful decision-making. Whether you're a data professional, technology leader, or business strategist, this episode provides actionable insights to help you navigate the challenges of data-driven transformation. Connect with Spencer: Reach out to Spencer on LinkedIn to continue the conversation or learn more about his work at CLA. https://www.linkedin.com/in/spencer-lourens-694568b0/ Like, share, and subscribe to "The Tech Trek" for more discussions with industry leaders.

On this episode of The Medical Alley Podcast, industry experts share insights on improving patient outcomes, enhancing operational efficiency, and driving market success. Panelists from S3 Connected Health, Boston Scientific, Medtronic, and Vocxi Health discuss the promise of smart implantable and wearable medical devices, specific challenges and how to tackle them, and developing a winning data strategy. Send us a message! Follow Medical Alley on social media on LinkedIn, Facebook, X and Instagram.

In this episode of Fail Faster, Babak Abbaschian, Senior Director of Data Strategy and Analytics at Churchill Down shares how to deliver AI projects that actually succeed. Babak turned 150 year old Churchill Downs into an AI powerhouse through these techniques. And he is using his expertise to make people's lives better by using AI in a way that humanizes people instead of technology for the sake of technology. He emphasizes the importance of failing fast, asking the right questions, and sharing wins early and often. Babak discusses how to prioritize projects by targeting quick wins that deliver significant business value, stressing the need for data readiness and organizational preparation when adopting AI solutions. He also offers insights on using technology to address human challenges, such as improving public safety and enhancing people's lives. Listen in to learn how to tackle the hurdles of digital transformation and drive positive change through innovation. Babak on LinkedIn: https://www.linkedin.com/in/babakabbaschian/ Babak on X: https://twitter.com/babakkab

In this insightful episode of the Lights on Data Show, host George Firican discusses the importance of data strategy in retail with Zainulabedin Shah, co-founder and CEO of Zeed. The conversation dives into essential components for a successful data strategy, the role of AI and machine learning in retail, and the future trends that will shape the retail landscape. Tune in to learn how cohesive data strategy can transform retail challenges into massive opportunities and foster a data-informed culture within your organization.

In this episode, we dive deep into the world of generative AI, exploring its hype, history, and real-world implications. Guests, Abby Breyer, Director of Experience Delivery, and Brian Partin, Enterprise Director, discuss how AI isn't as new as the recent media frenzy suggests—it's been evolving for thousands of years. They dissect the excitement surrounding AI, asking the pivotal question: what problem is AI looking to solve? Join us as we examine how AI, when applied thoughtfully, can be a powerful ally in solving complex human challenges when we keep people at the heart of the solution.Tune in now to hear their insightful and comical conversation.

What will AI bring us in 2025 and beyond? In this special compilation episode, we explore whether AI will be an ally or adversary in the coming years. See what our experts have to say about their vision for AI over the next 5 to 10 years—how it can solve critical challenges, enhance human potential, and reshape industries, while also grappling with its risks and limitations.Featured Guests:Brent Beck – CTO of Littera EducationAdam Binnie – Chief Innovation Officer at VisierSarah Nagy – CEO of Seek.aiAvi Yashchin – Founder & CEO of Subconscious.aiPaul Lewis – CTO of PythianGary Calnan – Co-founder of CisLunar IndustriesAustin Vance – CEO of FocusedArtem Semjanow – CEO & Co-founder of NeatsyOded Cohen – VP of Engineering at Viz.aiDr. Chris Cosma – Ecologist and Pollination Biologist at the Conservation Biology InstituteCheck out some more of our related podcast episodes:Expert Tips for AI Implementation and Data Strategy with Paul LewisSpeak Directly to Your Data, No Coding Required with Sarah NagyTransforming Workforce Management with AI and People Analytics with Adam Binnie

Highlights from this week's conversation include:Brian's Background and Journey in Data and Marketing (0:56)AI and Data Strategy (2:12)Experience at DreamWorks Animation (3:15)Marketing Timeline for Movies (5:18)Data-Driven Decisions at Expedia (9:04)Advising High-Growth Companies (14:59)LinkedIn Connections and Networking (17:57)Tension Between Marketing and Data Teams (19:59)Technology Spending in Marketing (22:07)Advice for Tech Leaders Facing Brand Marketers (25:50)Frequency of Replatforming (30:11)Understanding Data Accessibility (33:58)Data as a Product (00:37:58)Overhyped AI Applications (39:00)Underutilized AI Opportunities (00:41:51)AI's ROI Challenges (47:01)Effective AI Support Systems (52:33)Potential Ventures to Pursue Outside of Data (56:04)Final Thoughts and Takeaways (1:00:11)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.

In this episode, Greg Hahn, a data strategy and governance leader, shares deep insights on building a robust data strategy, navigating AI readiness, and the growing impact of privacy laws. The discussion covers essential pillars of data management, aligning business objectives with data strategy, and how organizations can future-proof themselves through proactive governance. Key Takeaways: Data Strategy & Maturity: Build an enterprise-wide strategy aligned with business goals for long-term success. Governance Frameworks: Adopt proven frameworks like DMBoK to streamline governance and boost data quality. AI Readiness: Ensure data integrity, strong infrastructure, and empowered teams before scaling AI initiatives. Privacy Compliance: Embrace evolving privacy laws as opportunities to strengthen trust and operational transparency. Highlights: 01:00 Understanding Data Strategy & Maturity Curve 03:00 The Importance of Foundational Data Elements 05:00 Leveraging Frameworks for Quick Data Strategy Assessment 09:00 AI Readiness and Data Management Challenges 13:00 Data Literacy and Workforce Enablement 16:00 Governance, Security & Data Integrity 19:00 Navigating Privacy Laws and Regulatory Compliance 23:00 The Future of Data-Driven Decision-Making Listen Now: Discover actionable strategies for transforming data into a competitive advantage through enterprise-wide governance, AI readiness, and compliance excellence. Share this episode with data leaders ready to enhance their data strategies.

In this episode of AI, Government, and the Future, host Marc Leh is joined by Willem Koenders, Global Leader in Data Strategy at ZS, to discuss the critical intersection of data governance and AI innovation. Willem shares insights on building sustainable data foundations, transforming organizational capabilities, and balancing innovation with responsible AI deployment.

In this episode of The Speed of Culture podcast, Matt Britton speaks with Chris Marino, Head of Agency, Google Customer Solutions at Google. Chris shares his journey from American Express to Google, diving into the power of mentorship, the impact of AI on marketing, and the importance of personalized consumer engagement.Follow Suzy on Twitter: @AskSuzyBizFollow Chris Marino on LinkedInSubscribe to The Speed of Culture on your favorite podcast platform.And if you have a question or suggestions for the show, send us an email at suzy@suzy.com Hosted on Acast. See acast.com/privacy for more information.