Podcasts about data strategy

In this episode of the NASP Podcast, Sheila Arquette, President & CEO of the National Association of Specialty Pharmacy, sits down with Hillary Gretton, Director of Data Strategy at Claritas Rx. Together, they explore today's challenges in market access and patient journey analytics, and how Access Analytics is helping specialty pharmacies, payers, and partners tackle these barriers. The conversation highlights real-world use cases from Claritas Rx's recent whitepaper, From Prescription to Abandonment: How 31% of Specialty Medications Go Unfilled Across Therapeutic Areas, showing how better data can drive better outcomes.

Daniel M. Goldberg is the Partner and Chair of the Data Strategy, Privacy & Security Group at Frankfurt Kurnit Klein & Selz PC. He advises on a wide range of privacy, security, and AI matters. His expertise spans from handling high-stakes regulatory enforcement actions to shaping the application of privacy and AI laws. Earlier this year, the California Privacy Lawyers Association named him the "California Privacy Lawyer of the Year." In this episode… California is reshaping privacy compliance with its latest updates to the California Consumer Privacy Act (CCPA). These sweeping changes introduce new obligations for businesses operating in California, notably in the areas of Automated Decision-Making Technology (ADMT), cybersecurity audits, and risk assessments. So, what can companies do now to get ahead?  Companies can prepare by understanding the scope of the new rules and whether or not they apply to their business, as the regulations are set to take effect on October 1, 2025, if they are filed with the Secretary of State by August 31. If that filing happens later, the next effective date will shift to January 1, 2026. The rules around ADMT are especially complex, with broad definitions that could apply to any tool or system that processes personal data to make significant decisions about consumers. Beyond ADMT, certain companies will also need to conduct comprehensive cybersecurity audits through an independent auditor, a process that may be challenging for smaller organizations. Risk assessments impose an additional obligation by requiring reviews of activities such as processing, selling, or sharing sensitive data, and using ADMT for significant decision-making, among others, with attestations submitted to regulators. The new rules make it clear that California regulators also expect companies to maintain detailed documentation and demonstrate accountability through governance. In this episode of She Said Privacy/He Said Security, Jodi and Justin Daniels talk with Daniel Goldberg, Partner and Chair of the Data Strategy, Privacy & Security Group at Frankfurt Kurnit Klein & Selz PC, about how companies can navigate the CCPA's new requirements. From ADMT to mandatory cybersecurity audits and risk assessments, Daniel provides a detailed overview of the complex requirements, explaining the scope and its impact on companies. He also outlines how these new rules set the tone for future privacy and AI regulations, why documentation and governance are central to compliance, and shares practical tips on the importance of reviewing AI tool settings to ensure sensitive data and confidential information are not used for AI model training.

This podcast is brought to you by Outcomes Rocket, your exclusive healthcare marketing agency. Learn how to accelerate your growth by going to outcomesrocket.com Strong science isn't just a checkbox; it's a growth strategy that can set digital health startups apart in crowded markets. In this episode, Dr. Jennifer Huberty, CEO & founder of Fit Minded, explores how behavioral health companies at any stage can build scientific credibility without depleting their resources. She stresses that many startups fail to recognize the value of the data they already possess: data that can drive business decisions, fuel marketing narratives, and even lead to peer-reviewed publications. Jennifer walks through cost-effective research strategies, such as retrospective analyses and national surveys, while cautioning against fragmented, one-off studies that lack strategic alignment. She also introduces the idea of “traveling science,” a framework for making research actionable across departments, and emphasizes that trust, transparency, and clear alignment with business goals are essential for impactful, lasting research partnerships. Tune in and learn how to leverage research not just for credibility, but for growth, clarity, and competitive advantage in the behavioral health tech landscape! Resources: Connect with and follow Dr. Jennifer Huberty on LinkedIn. Follow Fit Minded on LinkedIn and explore their website. 

Nonprofit leadership isn't just about managing resources — it's about vision, resilience, and the bold action it takes to solve the toughest challenges in our communities. Dr. Dawn Belamarich, CEO of Collaboratory, is leading a bold mission to solve Southwest Florida's biggest social challenges by 2040. With roots as a therapist and the discipline of a business leader, Dawn shares how she blends compassion with strategy to drive impact. From data-driven initiatives to scholarships that change lives forever, her leadership lessons resonate with nonprofit executives, Board members, and emerging leaders alike. You'll learn: Why every nonprofit must be run like a business to sustain its mission How optimism became Dawn's leadership superpower—and why it matters The power of scholarships and community funding to change lives Straight talk for Board members and CEOs navigating tough times Why knowing your “why” is essential for every nonprofit professional If you're ready for practical wisdom, candid insights, and real inspiration to lead with courage, this episode is for you. Prefer video? Watch the full episode on YouTube, https://youtu.be/9IXlGHn0eQY. Standout Quotes “A nonprofit is a business. If there's no money, there's no mission.” — [18:03] “It's the game changer of game changers when you see a life transformed by a scholarship.” — [15:43] “Know your why. Write it on your mirror, remind yourself every day, because many things will try to take you off course.” — [40:12] Chapters & Timestamps 00:00 – Welcome & Collaboratory's Bold 2040 Mission 01:05 – From Therapist to Nonprofit CEO: An Unexpected Journey 07:15 – Finding Inspiration in People, Innovation, and Optimism 13:42 – Scholarships & Success Stories That Change Lives 18:03 – Running Nonprofits Like a Business 21:39 – Navigating Funding Challenges with Collaboration 24:21 – Straight Talk for Board Members and Nonprofit CEOs 29:47 – Failures, Lessons, and Surprising Leadership Insights 38:12 – Final Advice for Nonprofit Leaders: Know Your Why Guest Bio Dr. Dawn Belamarich is President & CEO of Collaboratory, Southwest Florida's regional community foundation with a bold mission to solve the area's biggest social challenges by 2040. A licensed mental health therapist with a doctorate in business and leadership, Dawn brings a unique blend of compassion and strategy to her work. Before joining Collaboratory, she held senior leadership roles at Recovery Centers of America, where she led clinical and operational excellence for a national addiction treatment provider. Her career spans both nonprofit and for-profit sectors, giving her a distinctive perspective on driving impact with business discipline. Dawn also serves on the Board of the ARCHway Institute, a national organization providing education and resources for those impacted by addiction. Originally from New Jersey, she now calls Cape Coral, Florida home, where she enjoys the outdoors, spending time with family, and life with her husband Dave and their...

1007: Can AI transform a 200-year-old commercial real estate company? In this episode, Peter High speaks with Yao Morin, Chief Technology Officer of JLL, a $24B global commercial real estate leader. Yao shares how she is leading JLL's AI and data transformation which is reshaping how buildings are operated, how software is developed, and how employees work. Yao details how JLL is building customer-facing AI products like the JLL Property Assistant, driving cultural change through AI literacy programs, and launching internal tools like JLL GPT that already see 17,000 daily users. She also explains why she believes Scrum teams will shrink, engineers will code less, and AI adoption will soon be table stakes across industries. Key topics include: AI strategy across internal and external JLL platforms The APEX program for AI-driven software engineering Metrics for measuring AI impact beyond efficiency gains Ethical AI design, data privacy, and client trust

«Hvis folk tror at data faget er forskjellig mellom industrier så er det ikke det. Data er Data. Forretningskunnskapen er forskjellig. / If people think data work is different across industries, it isn't. Data is data. Business knowledge is what changes.»In this episode of MetaDAMA, we dive into the data strategy of Statens Vegvesen with Bjørn Broum. With 30 years of experience in the data field, Bjørn shares valuable insights.Bjørn takes us on the journey from Statens Vegvesen's first data strategy to today's revised version and explains why a strategic approach to data is essential for success. The conversation also touches on critical questions around privacy, skills development, and organizational challenges. Bjørn shares his most important lesson: keep technical complexity low in the early stages, focus on demonstrating value, and remember that decisions are made with or without data, so make data available when it's needed!Here are some key takeaways:We need a mindset shift in organizations. Think about the following:You need to keep focus on operational success, that is what you are measured by. You need to understand how you can impact your architecture, before the actual impact happens.New services needs to be build around data. Data cannot be an afterthought,You need to work actively with your executive management to ensure that data becomes a stable, not something that is hype-driven.Your data infrastructure is what you need consistent focus and buy-in on. This is the foundation that can support the «hype» on top of it.Statens VeivesenLong standing tradition dating back to 1864, tasked to build and maintain road infrastructure in Norway.Maintaining 10.500 km of road infrastructure, including about 6000 bridges and 600 tunnels.Utilization of sensors to predict risks and impact of e.g. rockfall, snowdrift, avalanches that all could impact traffic and road security.Research on how Norway can prepare for autonomous vehicles and traffic safety.Modern cars can be used as sensors. You can e.g. get information on how many people are in a car.There is a focus on ensuring personal data protection while maximizing insights from data.Ensure that the organization develops in a direction that can address and handle new challenges (data-driven).Remember that decisions are made with or without data. If you want data-informed decision data needs to be available for decision making, when needed.Data StrategyIt's a living strategy, that needs to stay updated.Data Strategy is always designed to accompany for a need, and that need can change over time.Data Strategy needs to hold a big-picture that people can relate their work to, that is recognizable.Digital value chain needs to be understood also towards the cross-functional needs across the organization.Conways law needs to be recognized.The value of data is realized in business. Therefore Data Strategy is build on business objectives.Be deliberate with your strategy: what do you need to focus on? For veivesenet this was e.g. to establish a common language and vocabulary.Statens Veivesen also makes data accessible for research. This needs to be reflected.AI is a topic as well, including data readiness for AI.Competency and skills are an important part of data strategy.Don't focus on dat roles, but rather upskilling in your organization.Understanding boundaries, goals, and strategic priorities is key when working with data strategy.Scaling and dimensions need to be strategically understood.Focus on the value of data and the business value it potentially generates, not technology.Bjørns' blog

Enterprise AI is still in its infancy, with less than 1% of enterprise data currently used to fuel AI, according to Raj Verma, CEO of SingleStore. While consumer AI is slightly more advanced, most organizations are only beginning to understand the scale of infrastructure needed for true AI adoption. Verma predicts AI will evolve in three phases: first, the easy tasks will be automated; next, complex tasks will become easier; and finally, the seemingly impossible will become achievable—likely within three years. However, to reach that point, enterprises must align their data strategies with their AI ambitions. Many have rushed into AI fearing obsolescence, but without preparing their data infrastructure, they're at risk of failure. Current legacy systems are not designed for the massive concurrency demands of agentic AI, potentially leading to underperformance. Verma emphasizes the need to move beyond siloed or "swim lane" databases toward unified, high-performance data platforms tailored for the scale and complexity of the AI era.Learn more from The New Stack about the latest evolution in AI infrastructure: How To Use AI To Design Intelligent, Adaptable InfrastructureHow to Support Developers in Building AI Workloads Join our community of newsletter subscribers to stay on top of the news and at the top of your game. 

Text us your thoughts on the episode or the show!In this episode of Ops Cast by MarketingOps.com, powered by The MO Pros, hosts Michael Hartmann, Mike Rizzo, and Naomi Liu speak with Dean de la Peña, VP of Identity, Data Strategy, and SaaS at Resonate.Dean discusses the role of predictive intelligence in marketing and explains how brands can utilize more comprehensive data signals to enhance audience targeting and personalization. He also outlines the importance of identity resolution and data structure in building effective campaigns.Topics covered include • How to apply predictive consumer intelligence to marketing workflows • The value of identity resolution in campaign planning • Practical approaches to scaling personalization based on real dataThis episode is intended for marketing operations professionals looking to improve their use of data in audience engagement.Episode Brought to You By MO Pros The #1 Community for Marketing Operations Professionals Visit UTM.io and tell them the Ops Cast team sent you. Join us at MOps-Apalooza: https://mopsapalooza.com/Save 10% with code opscast10Support the show

"Transformation ist eine unternehmensweite Aufgabe, bei der der CEO und die Geschäftsführung nicht delegierbare Aufgaben haben. Und das ist etwas, was viele nicht verstehen."

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)

Christelle Marfaing, ex-Head of Data de Lydia, est aujourd'hui Chief Data Officer de May, la startup qui a développé une app d'avantages salariés (3 millions d'euros levés en 2022).Cet épisode est le 1er d'une nouvelle série dont l'objectif est d'inviter des Head of Data qui ont déjà monté ou structuré une équipe Data et qui recommencent dans une plus petite structure.Aujourd'hui, Christelle nous parle du lancement du département Data chez May après avoir dirigé une équipe de 14 personnes chez Lydia.On aborde :

Struggling with data trust issues, dashboard drama, or constant pipeline firefighting? In this deep‑dive interview, Lior Barak shows you how to shift from a reactive “fix‑it” culture to a mindful, impact‑driven practice rooted in Zen/Wabi‑Sabi principles.You'll learn:Why 97 % of CEOs say they use data, but only 24 % call themselves data‑drivenThe traffic‑light dashboard pattern (green / yellow / red) that instantly tells execs whether numbers are safe to useA practical rule for balancing maintenance, rollout, and innovation—and avoiding team burnoutHow to quantify ROI on data products, kill failing legacy systems, and handle ad‑hoc exec requests without derailing roadmapsTurning “imperfect” data into business value with mindful communication, root‑cause logs, and automated incident review loops

What does it really take to build confidence in enterprise data? At Arvest Bank, it started with a single use case and a commitment to simplicity. In this episode, Thomas Brence sits down with Josh Cohen live from Collibra's Product Premiere to talk about what it means to make trust tangible—and how Arvest is laying the groundwork for deeper data quality and governance maturity.By bringing Collibra under the data engineering team and focusing on clear business value, Arvest is transforming how its finance and performance teams interact with data. Josh shares how his team is tackling source-to-target validation, establishing trust through small wins, and navigating change management with a pragmatic, top-down approach.From reluctant stakeholders to AI readiness, hear how one bank is building trust in its data—one rule, one report, and one relationship at a time.Three reasons you should listen to this episode:1. Start small to prove value fast. Learn how Arvest focuses on specific, high-value reporting needs to make data governance meaningful—and measurable—for business stakeholders.2. Rethink ownership to drive adoption. Explore Arvest's shift Collibra from the governance team to data engineering, and how that decision helped accelerate quality initiatives.3. Navigate change with clarity. Get practical advice on managing resistance, setting expectations, and securing executive buy-in to make data quality stick.ResourcesConnect with ThomasConnect with JoshEnjoyed this episode?Be sure to follow us so you never miss an update. You can leave us a review on Apple or Spotify, and share it with your friends and colleagues to help others learn more about the importance of a data-first digital transformation approach.Have questions? You can connect with us on LinkedIn. For more updates, please visit our website.

Many companies spend a lot on data technology, but often forget about the importance of data and AI literacy. Without the right skills, even the best platforms can fail to deliver results. Teams need to understand how to work with data and AI to make any strategy successful.In this episode of Tech Transformed, EM360Tech's Trisha Pillay chats with Greg Freeman, the founder of Data Literacy Academy about why knowing data and AI matters for anyone building a digital strategy.Data and AI LiteracyFreeman points out that many data strategies end up as technical documents rather than actionable roadmaps. He explains that organisations often spend heavily on infrastructure, expecting better tools to solve their problems but without employees who understand how to work with data and why it matters, these investments rarely deliver results.Freeman explains that data strategies often fail because only a small portion of employees less than 20 per cent are truly enthusiastic about data. Most strategies are designed with this minority in mind, creating an echo chamber that leaves the majority behind. As a result, data stays siloed, and business decisions don't improve. The Data Literacy Academy founder stresses that unless organisations engage the 80 per cent of employees who aren't already invested, their strategies are unlikely to succeed. When the focus is on tools rather than people, adoption falls behind.TakeawaysData and AI literacy are key to turning strategy into value.Tools alone don't work; people need confidence and context.Focus on engaging the data-hesitant majority, not just the enthusiasts.Cultural change, not just technical change, is what drives ROIChapters00:00 – Introduction02:07 – Beyond the Tech Stack04:41 – Why Strategies Fail08:41 – Literacy Barriers12:08 – Success in the Real World17:17 – Building Lasting Literacy22:20 – AI Needs Literacy Too26:33 – Final TakeawaysAbout Greg FreemanGreg Freeman is the founder and CEO of Data Literacy Academy, where he works with CDOs, CIOs, and business leaders to drive real cultural change around data. His mission is to help organisations tackle data illiteracy by building confidence and capability from the ground up, especially for employees who feel disengaged or anxious about data.With a background in sales leadership and tech startups, Greg brings both strategic insight and real-world experience.

Christophe Blefari est Staff Data Engineer et auteur de la célèbre newsletter data française Blef.fr. Il est l'un des plus gros experts data en France et est d'ailleurs membre du collectif de freelances DataGen. Il revient nous parler des dernières actualités data, notamment du débat qui échauffe les esprits ces dernières semaines : est-ce la fin de la Modern Data Stack ?On aborde :

In dieser Episode spreche ich mit Marco Geuer, Associate Partner bei Blueforte (zuvor Global Head of Data Strategy & AI Solutions bei Fiege) und Dr Alexandra Speil, Global Head of Data Analytics & AI bei Fiege (zuvor Principal Technical Specialist bei IBM).Wir sprechen über folgende Themen:Warum scheitern über 70 % der Digitalisierungs- und KI-Initiativen – und wie lässt sich das vermeiden?Welche Rolle spielt das C-Level bei erfolgreicher digitaler Transformation?Wie können Unternehmen ihre KI-Strategie erfolgreich in die Gesamtstrategie integrieren?Warum ist Fokus entscheidend, um Digitalisierungs- und Datenprojekte erfolgreich umzusetzen?Wie baut man in Unternehmen Champions für Daten- und KI-Initiativen auf?Welche Fehler bremsen Digitalisierungsprojekte – und wie lassen sie sich beheben?Wie gelingt es, aus erfolgreichen Prototypen skalierbare Lösungen zu entwickeln?Welche Faktoren sind entscheidend für eine nachhaltige Innovationskultur im Unternehmen?Podcast-Moderator: Christoph PacherLinkedInInterviewgast: Marco Geuer, Associate Partner – BlueforteLinkedInInterviewgast: Alexandra Speil, Global Head of Data Analytics & AI – FiegeLinkedIn

On today's episode, Andy and former Green Beret and CIA operative Scott Mann break down reports that the Trump administration is working with Palantir to build a centralized citizen database. With critics from all sides warning of authoritarian overreach, they explore what this means for privacy, national security, and the future of civil liberties in America. Focal Point is an IRONCLAD Original Sponsors:  Marek Health Take control of your health today! Head to https://www.MarekHealth.com and use code FOCALPOINT for 10% off at checkout. Learn more about your ad choices. Visit megaphone.fm/adchoices

Full show notes, transcript and AI chatbot - http://bit.ly/4oqoJNe Watch on YouTube - https://youtu.be/Leb1rjtODGc 00:00:00 - Introduction 00:03:26 - Google Analytics and AI News 00:05:06 - ChatGPT Agent Tool and Pizza Ordering 00:07:06 - ChatGPT 5 Speculations 00:09:09 - Google Notebook LM and Video Generation 00:12:24 - Google AI Search in the UK 00:14:27 - Google's AI Strategy and Advertising 00:15:10 - ChatGPT Study Mode 00:16:12 - Introduction of Guest Roman Petrochenkov 00:18:00 - Roman's Background and Role at Carwow 00:20:03 - First Party Data Strategies 00:22:01 - Importance of First Party Data 00:25:35 - Collecting First Party Data 00:28:13 - Carwow's Progress with First Party Data 00:30:01 - Incentivizing Users to Share Data 00:32:10 - AI's Impact on Data Collection 00:35:06 - Technical Steps for First Party Data Strategy 00:38:21 - Challenges with User-Provided Data in GTM 00:39:37 - Direct Data Routing to Cloud Data Warehouse 00:41:07 - Implementing Enhanced Conversions 00:43:40 - Experience with Facebook CAPI 00:45:24 - Communicating Complex Data Strategies Internally ----- Episode Summary: In this episode of The Measure Pod, Dara and Matt sit down with Roman Petrochenkov, a seasoned marketing analytics leader with deep expertise in data strategy and measurement. They discuss the growing importance of first-party data, unpacking strategies for its collection, ownership, and security, as well as the evolving role it plays in a post-cookie landscape. They also explore the rise of AI in analytics, its impact on incrementally measurement, and what the future holds for marketing teams and jobs in an increasingly automated world. ----- About The Measure Pod: The Measure Pod is your go-to fortnightly podcast hosted by seasoned analytics pros. Join Dara Fitzgerald (Co-Founder at Measurelab) & Matthew Hooson (Head of Engineering at Measurelab) as they dive into the world of data, analytics and measurement, with a side of fun. ----- If you liked this episode, don't forget to subscribe to The Measure Pod on your favourite podcast platform and leave us a review. Let's make sense of the analytics industry together! The post #126 First-party data strategy – a client side perspective (with Roman Petrochenkov at Carwow) appeared first on Measurelab.

Kyle de Bruin is Managing Director at Leesman where he is passionate about measuring and analyzing the experiences of employees in their places of work. Mike Petrusky asks Kyle about how high-performance offices deliver a great employee experience and they review lessons learned from the past five years of workplace change. The lack of variety in office design is a significant challenge, as employees are staying at their desks due to the increased use of video calls and the need for private conversations. Kyle believes that the facility management and corporate real estate industry is data-rich but insights-poor, so he hopes AI advancements can help organize and analyze unstructured data. The value of real estate assets should not solely be measured by occupancy rates and workplace leaders need to focus on creating spaces where employees can focus and be productive, so Mike and Kyle offer the advice and inspiration you need to be a Workplace Innovator! Take the Eptura™ Podcast Survey: https://forms.office.com/r/jY577CbNcx Connect with Kyle on LinkedIn: https://www.linkedin.com/in/kyledebruin/ Learn more about Leesman: https://www.leesmanindex.com/ Read the “Lessons Learned” article Kyle referenced: https://www.leesmanindex.com/articles/redefining-the-workplace-why-employee-experience-matters/ Discover free resources and explore past interviews at: https://www.workplaceinnovator.com/ Learn more about Eptura™: https://eptura.com/ Connect with Mike on LinkedIn: https://www.linkedin.com/in/mikepetrusky/  

Redefining leadership requires authenticity, cross-functional collaboration, and a willingness to embrace non-linear career paths. Kari Wilhelm, SVP of Data Strategy and Commercialization at Worldpay, embodies these principles as she navigates the complex intersection of payments technology and data innovation.In this fascinating conversation, Kari reveals how her unconventional journey from economic research in Hong Kong to management consulting at McKinsey ultimately led her to the payments industry. Rather than viewing her diverse background as a limitation, she's leveraged these varied experiences as strategic assets that provide unique perspectives on complex business challenges. As she notes, "I've really experienced that kind of non-linearity as more of a strength rather than a setback."Kari offers profound insights on modern leadership, emphasizing the importance of building inclusive team cultures, setting clear expectations, and providing the necessary tools for success. She highlights how the pandemic has transformed leadership dynamics, creating new challenges for maintaining collaborative environments across dispersed teams. Her practical solutions for adapting leadership approaches in virtual settings demonstrate her thoughtful, pragmatic approach to team management.The conversation explores the unique strengths women bring to payments leadership, particularly their ability to work cross-functionally and build consensus across stakeholders. Kari observes that women often excel at listening deeply to understand underlying needs rather than just surface requests, allowing them to craft solutions that address fundamental issues and build alignment across diverse groups.As leader of Worldpay's data strategy initiatives, Kari provides fascinating glimpses into how AI and data analytics are transforming the payments landscape. Her current focus on leveraging Worldpay's vast transaction data to provide merchant insights represents the cutting edge of payments innovation, with potential to reshape how consumers discover and purchase products.Whether you're a payments veteran, an aspiring leader, or simply curious about the human elements that drive technological innovation, Kari's perspective offers valuable guidance on navigating today's complex business environment with authenticity and purpose.

Data collection is no longer a back-office task. It is now the foundation of manufacturing intelligence. In this episode of Manufacturing Hub, we are joined by Brian Bribe, founder of Mach Controls, to explore the practical realities of modernizing data infrastructure inside manufacturing facilities.Brian brings a frontline perspective to OT architecture and walks us through what it actually takes to connect legacy equipment, build scalable pipelines, and enable true real-time decision-making. We dive deep into Unified Namespace (UNS) principles, the evolution of MQTT and Kafka in industrial settings, and why so many manufacturers struggle to get ROI from new digital systems. From co-op student to founder of a systems integration firm, Brian shares how his early hands-on experience shaped his understanding of controls, business systems, and the gaps in between.Topics include historian layers, challenges with SCADA-based centralization, how to scope a machine connectivity project, practical change management tips, and the path to flattened architectures using modern pub-sub tools. This is a must-watch for engineers, plant managers, and decision-makers looking to make sense of the data revolution inside their factories.

In this episode, Alex Stolz talks with Doug Shapiro, media strategist, former Turner executive and author of The Mediator, about the disruptive force of generative AI and what it truly means for filmmakers and creators. Doug draws a striking parallel: just as the internet drove the cost of moving bits (distribution) toward zero and reshaped the media landscape, generative AI is now driving the cost of making bits (content creation) toward zero. But what does that mean for the value of original storytelling? For jobs, budgets, and creativity? And how can creators and studios adapt to a world of “infinite content,” where audiences' definitions of quality are shifting, and discovery becomes the real battle? Across the conversation, Doug explores the opportunities (democratization, bold creative choices, lower barriers for new voices) and the challenges (market saturation, changing consumer standards, legal and ethical uncertainty) that AI brings. Drawing on his experience of seeing streaming disrupt TV from the inside, he shares lessons for both incumbents and emerging studios and why, despite the disruption, he believes AI can empower a new generation of creators rather than replace them. About Doug Shapiro Doug has spent nearly 30 years in and around the media industry, as an analyst, strategist, advisor and operator. He is currently an independent advisor and consultant, speaker, and senior advisor for Boston Consulting Group. He also writes The Mediator, which is widely read and circulated in the industry. Doug is frequently asked to present his views about the evolution of the media business at corporate offsites, institutional investor conferences, industry events, and academic institutions. He is also writing Infinite Content: AI, the Next Great Disruption of Media, and How to Navigate What's Coming, due to be published by The MIT Press in 2026. Prior to his current role, Doug was the Chief Financial Officer and a Managing Member of Pugilist Capital LLC, an investment firm formed with the purpose of acquiring media and media-adjacent technology businesses. Before that, he was EVP and Chief Strategy Officer at Turner, a division of WarnerMedia, and member of the Executive Committee, where he headed the Corporate and Data Strategy functions. Prior to that position, Shapiro was the SVP of International and Corporate Strategy at Time Warner Inc. He previously headed the Time Warner Investor Relations group, overseeing the development and execution of the company's investor relations initiatives, formulating investor messaging and serving as the primary contact for Time Warner with the investment community. Before joining Time Warner, Shapiro was a senior equity analyst at Banc of America Securities and Deutsche Banc Securities, where he covered the Cable and Satellite TV and Media Conglomerate sectors. He was ranked as one of the top Cable and Satellite analysts by Institutional Investor magazine each year from 1997 to 2006.

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.

In this episode, we explore how TileDB, an innovative data system originally developed at MIT and Intel Labs, is revolutionizing healthcare and life sciences data management. We'll dive deep into how TileDB's universal data engine efficiently handles complex scientific data - from genomic sequences to medical imaging - in a unified format, and learn how healthcare organizations can leverage TileDB on AWS to accelerate research, improve collaboration, and reduce infrastructure costs. Join host AWS Solutions Architect for HCLS Gokhul Srinivasan and guest Devika Garg form TileDB as they discuss real-world applications in precision medicine, genomic analysis, and how TileDB is transforming the way healthcare providers manage and analyze patient data.To Learn More:https://www.tiledb.com/AWS Hosts: Nolan Chen & Gokhul SrinivasanEmail Your Feedback: rethinkpodcast@amazon.com

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 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!

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!

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.

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