Podcasts about Data literacy

The Manufacturing Stream Podcast, your go-to source for insights into the latest in manufacturing technology and innovation.Hosted by Chris Rost, we're excited to bring you some of the best conversations in manufacturing - from the factory floor to the board room.This episode features manufacturing tech expert Willemijn Schneyder, as she reacts to some of the most profound takeaways from our 2025 Manufacturing Skills Report.We explore AI, Automation, and the needs of the frontline workforce across a number of roles in the manufacturing workforce.

In Episode 20, of Season 5 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Dan Robertson, Chief Data & Analytics Officer at Bupa, where they discuss the relationship between organisational culture, operating models, change and transformation and delivering value, which includes;How doing a business degree fuelled an interest in using data to support decision-making.Why starting his career as a programmer made him realise that he wanted a different path.Being the inaugural CDO for multiple, large, complex organisations. Why your operating model holds more weight than any solution in changing an organisation.Why tuning in to organisational culture is the key to success for a transformational CDO.Getting an understand of company culture in the interview process.Why the amount of change required to embed that operating model defines the rockiness of the data strategy journey. Anchoring the implementation of change to the vision and purpose of the organisation.The importance of understanding ‘how things get done'.Why alignment on company purpose and vision impacts the ability to affect change. Tying incentives and objectives to that vision and purpose.Why your boss needs to ‘get it' or be prepared to get it, so you don't come unstuck when things get tough. Why the middle of the organisation will likely be the biggest cultural roadblock.Why federation is usually better for large organisations.The impact that maturity has on deciding on a centralised or federated model. Offering a service model to balance the pros and cons of operating models. Why the vision, purpose and north-star of the organisation is so important.The role of architecture of breaking down silos to unlock value. The common symptoms of what blockers to value creation are. The importance of Data Literacy both internally in D&A teams and in business teams. Why your team need to be able to explain the investment case to the exec that aligns to your purpose. The link between expectations and the average tenure of the CDO.The 3 key inflection points as a transformational CDO.Why you need to be careful about choosing which value-based use case you start with. Presenting different data strategy options to the exec. Deciding whether you're aiming to be more data-driven or want competitive advantage. Understanding the size of the possible prizes. Thanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you

Hey humans! Welcome back to part two of our data literacy series! In this episode, I continue my round table discussion with Jennifer Wright, Karen Brieger, and Kelly Oliver as we dive deeper into the practical aspects of HR data. We explore the critical importance of "clean data" - what it really means and why it matters so much. Kelly breaks down the three-phase framework of data engineering, data analysis, and data insights, explaining why you can't just jump straight to insights without proper preparation. Jennifer shares a powerful example about how software conversion challenges can create data issues, while Karen emphasizes the importance of basic data accuracy - from employee addresses to departmental coding. Our conversation also addresses the unique challenges faced by fractional HR leaders who need to quickly adapt to different organizational cultures and data preferences. As Karen explains, some clients want workshops and training while others just want quick data points without the deeper understanding. We discuss how to navigate these different environments while still delivering value. We also touch on the future of HR data and analytics with cautious optimism about AI's potential to help identify anomalies and patterns. There are still so many organizations still mastering the basics of data literacy. Enjoy part two of our data conversation! Stacie More episodes at StacieBaird.com. LinkedIn Pages for each of my guests: Jennifer Wright Karen Brieger Kelly Oliver

In this episode of the PolicyViz Podcast, I speak with Yanni Loukissas, an Associate Professor at Georgia Tech, about the importance of context in working with data. Yanni argues that data are not universal but local—shaped by their origins, environments, and the intentions of those who collect them. Our conversation dives into how this perspective challenges dominant narratives in data science, particularly the assumption that datasets are neutral or universally applicable. We also discuss how design and storytelling can play a role in exposing the situated nature of data and how educators and practitioners can better teach and communicate these ideas.Keywords: Yanni Loukissas, PolicyViz Podcast, data visualization, data context, data storytelling, situated data, data ethics, data science, data politics, Georgia Tech, Jon Schwabish, design and data, local data, neutral data myth, data literacy, communicating data, data education, critical data studies, data and power, podcast interviewSubscribe to the PolicyViz Podcast wherever you get your podcasts.Become a patron of the PolicyViz Podcast for as little as a buck a monthCheck out Yanni's website and read his book, All Data are LocalFollow me on Instagram, LinkedIn, Substack, Twitter, Website, YouTubeEmail: jon@policyviz.com

Hey humans! On this part one of a two part series, I had the pleasure of hosting a fantastic round table discussion with three amazing HR professionals - Jennifer Wright, Karen Brieger, and Kelly Oliver - where we dive into the world of data literacy in human resources. Each of my guests shared their unique HR journeys and how embracing data has been a game-changer in their careers.  We had a really honest conversation about how data literacy helps transform HR from being seen as just the "squishy people stuff" department to becoming a strategic business partner that directly impacts organizational success. You'll love hearing their personal stories - from Karen's boardroom moment that became her wake-up call, to Jennifer's transition from retail buying to HR leadership, and Kelly's perspective coming from sales operations into the people space, we explored how HR data directly connects to business outcomes when we know how to collect it, make sense of it, and present it effectively. We all shared some great real-world examples, and also talked about the importance of spreading data literacy beyond our HR teams to middle managers throughout our organizations, and the tech tools (like HR Bench) that have helped us all move from manual spreadsheets to more sophisticated analytics. Enjoy this part one and stay tuned next Tuesday for the follow up! Enjoy, Stacie More episodes at StacieBaird.com. LinkedIn Pages for each of my guests: Jennifer Wright Karen Brieger Kelly Oliver

In dieser Folge des AI or DIE Podcasts spreche ich, Andreas Wiener, mit Carsten Bange, dem Gründer und Geschäftsführer der BARC. Wir tauchen tief in die Themen AI, Datenkultur, Data Governance und die Auswirkungen von Regulierungen ein. Außerdem diskutieren wir, warum Unternehmen, die heute nicht auf AI setzen, morgen den Anschluss verlieren werden.

Microsoft and the Analytics Institute have awarded 150 people from 13 organisations with a DataSMART Foundation Credential in Data Skills following an interactive Datathon event hosted by Microsoft in Dublin on Friday (March 21). The event enabled the participants to apply newly acquired data skills in a collaborative environment, demonstrating the practical benefits of this innovative programme. DataSMART, developed by Technology Ireland DIGITAL Skillnet in partnership with Microsoft and the Analytics Institute, is a trailblazing data literacy initiative designed for non-IT professionals who want to harness data strategically in their roles. Research shows that employees with core data skills advance faster in their careers, while organisations making data-driven decisions achieve accelerated market progress and revenue growth. Major companies including Bord Gais, Pfizer and Flutter have already enrolled employees in the programme, recognising the competitive advantage of building organisation-wide data literacy. The 12-week DataSMART programme equips professionals with foundational skills in data collection, cleaning, transformation, visualisation, and storytelling, while exploring cutting-edge topics like AI, data governance and emerging technologies. It is ideal for non-IT professionals seeking to build confidence in using data. DataSMART is particularly beneficial for large groups from the same organisation, as peer learning interactions deepen understanding and application of data concepts across departments. The programme's flexible format combines online tutorials with interactive workshops, allowing working professionals acquire valuable data literacy competence in a cost-effective way that accommodates busy schedules. Commenting, Maire Hunt, Network Director of Technology Ireland DIGITAL Skillnet, said: "The DataSMART initiative has been a resounding success, helping individuals across all sectors build the confidence and skills needed to navigate today's data-driven world. This programme has proven to be an ideal solution for organisations looking to upskill large groups of employees efficiently, ensuring their workforce can interpret and apply data to make better business decisions. "With its flexible, accessible learning approach and practical applications, DataSMART has opened new opportunities for both individuals and businesses, reinforcing the vital role of data skills in future-proofing Ireland's workforce." Russell Kane, Datathon Facilitator, of Microsoft, said: "It was fantastic to deliver a number of the online modules and subsequently to facilitate the in-person mid-review workshop as well as the full-day in-person datathon. The blended delivery method of the course allowed the participants to work through the contents of the modules at their own pace, while the in-person sessions provided invaluable opportunities for hands-on learning and real-time interactions. "The importance of this course cannot be overstated when it comes to upskilling all staff in understanding the significance and impact of data, particularly in our rapidly evolving era of AI. DataSMART empowers individuals to navigate the complexities of data with confidence, making informed decisions and driving innovation within their organisations. As AI continues to transform many sectors, equipping employees with robust data skills ensures that they remain agile and competitive in a data-driven world." Lorcan Malone, CEO, Analytics Institute, added: "The completion of the DataSMART pilot programme marks an important milestone in advancing data literacy at scale. The positive response from participating organisations highlights the growing recognition that data skills are essential across all roles and industries. By providing a structured yet flexible approach to learning, DataSMART has helped integrate data-driven thinking into everyday decision-making. We are excited to see how this initiative continues to support businesses in building...

AiDigiTales creator and AI for Kids podcast host Amber Ivey joins Greg Verdino and Geoff Livingston to discuss the significance of AI literacy for children, the role of data in AI, and how governments can use AI effectively. The conversation elaborated on the importance of educating children about AI, the practical challenges that governments face with data accuracy, and the future of AI in the public sector. Additionally, Amber shares her insights on creating an AI playground for government agencies and the significance of parental knowledge in guiding children through AI technologies. Amber, Geoff and Greg also discuss why it's harder for adults to get AI, and how DOGE is impacting state and local governments. Chapters 00:00 Intro 01:40 The Importance of AI Literacy for Kids 03:31 Challenges and Solutions in AI Education 09:39 AI in Government Work, Including Procurement Challenges 16:02 Navigating Federal and State AI Challenges in a DOGE Environment 19:21 The AI for Kids Podcast 26:49 Integrating AI Education into Schools 34:31 Pairing AI Education for Parents and Kids 37:55 Data Literacy and AI Governance You can listen to the AI for Kids podcast at https://aiforkids.buzzsprout.com; learn more about the AiDigiTales books, content, and courses at https://aidigitales.com/; contact Amber Ivey via LinkedIn (https://www.linkedin.com/in/amberivey/); and learn more about Social Finance here: https://socialfinance.org/. Learn more about your ad choices. Visit megaphone.fm/adchoices

This week on The Audit Podcast, we're joined by Andrew Clark, Co-Founder and CTO of Monitaur.   In this episode, Andrew shares his unique perspective on agentic AI, challenging common assumptions about what AI agents actually are. He explores the marketing problem with AI and agents, why agents might not be what we think, and the governance challenges that come with them.   Be sure to connect with Andrew on LinkedIn.   Also, be sure to follow us on our new social media accounts on LinkedIn, Instagram, and TikTok.   Also be sure to sign up for The Audit Podcast newsletter and to check the full video interview on The Audit Podcast YouTube channel.   Timecodes:   3:48 - Using ChatGPT for Idea Generation 9:06 - Integrating Analytics into the Audit Process 16:12 - Navigating the Analytics Journey 22:04 - The Impact of Data Literacy 27:41 - SOX Automation 30:19 - Blockchain Trends in 2025 35:52 - Final Thoughts   *   This podcast is brought to you by Greenskies Analytics, the services firm that helps auditors leap-frog up the analytics maturity model. Their approach for launching audit analytics programs with a series of proven quick-win analytics will guarantee the results worthy of the analytics hype.  Whether your audit team needs a data strategy, methodology, governance, literacy, or anything else related to audit and analytics, schedule time with Greenskies Analytics.  

Why is data literacy and storytelling so important in product management? In this podcast hosted by Mark Bailes, Amplitude former VP of Product Ibrahim Bashir will be speaking on leveraging data literacy and storytelling in product management. As data availability and access have grown, the challenge has shifted to making sense of the data and taking effective action. Ibrahim shares insights on interpreting data, avoiding common biases, and using qualitative and quantitative insights to drive product decisions.

This week on The Audit Podcast, we're joined by Ishan Kunkur, Digital Analytics Program Manager at Delta Air Lines.   In this episode, Ishan shares how his team has embedded analytics into the audit process—from upskilling auditors with Power Query and Power BI training to automating SOX control testing, saving 360 hours annually. He explains how they evolved from performing analytics for audits to enabling auditors with data-driven tools, ultimately expanding into SOX automation and GRC dashboarding.   Additionally, we dive into the intersection of AI and blockchain, discussing how blockchain's immutable ledger can enhance AI models by ensuring data integrity. Ishan also shares his perspective on career growth in an AI-driven world, emphasizing adaptability and continuous learning.   Be sure to connect with Ishan on LinkedIn.   Also, be sure to follow us on our new social media accounts on LinkedIn, Instagram, and TikTok.   Also be sure to sign up for The Audit Podcast newsletter and to check the full video interview on The Audit Podcast YouTube channel.   Timecodes:   3:48 - Using ChatGPT for Idea Generation 9:06 - Integrating Analytics into the Audit Process 16:12 - Navigating the Analytics Journey 22:04 - The Impact of Data Literacy 27:41 - Animated Insights on SOX 30:19 - Blockchain Trends in 2025 35:52 - Final Thoughts   *   This podcast is brought to you by Greenskies Analytics, the services firm that helps auditors leap-frog up the analytics maturity model. Their approach for launching audit analytics programs with a series of proven quick-win analytics will guarantee the results worthy of the analytics hype.  Whether your audit team needs a data strategy, methodology, governance, literacy, or anything else related to audit and analytics, schedule time with Greenskies Analytics.

Key Takeaways:Optimize for AI Search – Treat your online presence like SEO for AI. Ensure your LinkedIn and personal website include the right keywords so AI-driven tools and recruiters can easily find you.Networking Drives Career Growth – 70% of jobs come from introductions. Being proactive, following up, and offering value in professional relationships is key to unlocking new opportunities.Financial Preparedness is a Career Advantage – Many high earners still live paycheck to paycheck. Building an emergency fund of 6–12 months helps navigate layoffs and career shifts with confidence.AI Can Enhance, but Authenticity Wins – AI-generated headshots and tools can refine your brand, but people connect with realness. Finding a balance between AI optimization and human authenticity is essential.Joan's HBR article: Voice Recognition Still Has Significant Race and Gender BiasesJoan's LinkedIn: (23) Dr. Joan Palmiter Bajorek | LinkedInJoan's Website: Dr. Joan Palmiter BajorekYour AI Roadmap: Your AI Roadmap00:00 Introduction and Background00:22 The AI Roadmap Book01:54 Key Actions to Future-Proof Your Career03:01 Building an Emergency Fund05:44 Leveraging AI for Financial Planning07:36 Networking Strategies10:59 Personal Branding with AI14:11 The Human Element in AI19:51 Effective AI Prompting Techniques20:29 AI's Influence on Job Matching22:21 Using AI for Personal and Professional Tasks22:59 Choosing the Right AI Tool25:08 The Future of AI and Human Collaboration26:16 Balancing Career, Money, and Joy28:00 Gender Bias in AI32:30 Conclusion and Final Thoughts

What's up everyone, today we have the pleasure of sitting down with Ana Mourão, CRM, Customer Data and CDP Advisor.About AnaAna started her career in the financial services sector before moving to field marketing and ecomm partnershipsShe then spent 5 years as a Marketing leader at 3MShe created the Experimental Marketer framework to help marketers take ownership of martech Today Ana is CRM, Customer Data and CDP Advisor working with Fortune 500 customers advising on data architecture, digital engagement and customer journeysMartech Leaders Must Become Systems ArchitectsIn theory, we all understand that martech has the potential to shape customer experiences, transform internal processes, and drive business growth. But mastering individual tools offers limited value. Ana's experimental marketer framework proposes an interesting ideat: martech professionals must evolve into systems architects who orchestrate intricate technological ecosystems while maintaining laser focus on business outcomes.The framework, born from Ana's battlefield experience, advocates for marketers to embrace technology as a force multiplier. You already understand how martech drives conversions and engagement. Now imagine wielding that same power to revolutionize marketing operations, break down departmental barriers, and create seamless workflows that amplify team performance. This systems-level thinking separates strategic leaders from tactical operators.Marketing technologists possess unique insights into customer engagement processes, campaign execution, and performance optimization. The framework pushes you to leverage this knowledge beyond traditional boundaries. Step into cross-functional conversations with authority. Guide IT and operations teams toward solutions that serve marketing's mission while improving organizational efficiency. Your perspective proves invaluable in bridging the gap between technical capabilities and business objectives.Consider the ripple effects of your technology decisions. Each tool implementation, integration choice, and process automation creates waves that impact multiple teams and workflows. By viewing martech as an interconnected system rather than isolated solutions, you'll spot optimization opportunities invisible to those stuck in departmental silos. This elevated perspective transforms you from a tool specialist into a strategic architect of marketing operations.Some practical applications Ana recommends:Map your martech ecosystem to identify connection points and dependenciesDocument cross-functional workflows to pinpoint friction and improvement opportunities Facilitate regular discussions between marketing, IT, and ops teamsEvaluate new tools based on their system-wide impact, not just feature listsBuild processes that scale across teams and technologiesKey takeaway: The future demands marketing technologists who think in systems, not silos. Build your strategic value by understanding how technologies interconnect, impact multiple stakeholders, and drive both customer engagement and operational excellence. Your ability to architect comprehensive solutions while maintaining big-picture perspective will determine your success in this increasingly complex landscape.Lessons from Stanley Black & Decker's Data TemplateMarketing technology demands ruthless precision in system design. When tools operate in isolation, data fragments and teams falter. Ana examines how Stanley Black & Decker, the world's largest industrial tool company, architected a unified martech ecosystem that transformed scattered tools into an integrated engine of market intelligence.Strategic Foundation & Business ContextMost B2B companies operate with dangerous blind spots between their distribution channels and end users. Ana shares how Stanley Black & Decker dismantled these barriers by architecting an integrated martech system across emerging markets. Their goal transcended basic data collection; they sought to reshape product development and go-to-market strategies through direct end-user intelligence.The system's strategic architecture spanned Latin America, Asia, Middle East, and Africa, deliberately excluding mature markets to focus on high-growth regions. This geographic scope demanded sophisticated balance between centralized control and local market agility. Rather than imposing rigid global templates, the architecture provided regional teams with dynamic frameworks for market-specific adaptation while maintaining brand integrity.Local empowerment emerged through granular control mechanisms. Teams gained the ability to modify email templates, adjust campaign elements, and launch market-specific promotions without technical dependencies. This operational autonomy accelerated time-to-market while reducing vendor reliance. A promotion in the Philippines could launch within hours instead of weeks, using pre-approved templates that maintained brand standards while accommodating local market conditions.The Tech Stack Evolution and Adding a CDPMarketing automation tools give your stack lightning-fast reflexes. They'll send emails, trigger workflows, and chase leads across channels with robotic precision. But Ana's work with Stanley Black & Decker exposed an uncomfortable truth: pure automation creates mindless action without strategic intelligence. You need a brain, not just a nervous system.The team's marketing automation platform fired off messages like clockwork. Yet it remained blind to the deeper patterns hiding in plain sight. User behaviors painted intricate stories: Anna gravitating toward e-commerce content while ignoring product launches, segments showing distinct engagement rhythms across markets. These crucial signals vanished into the void between automation triggers.The Customer Data Platform (CDP) entered as the cognitive center, not another mechanical add-on. This neural hub absorbed data streams from every market, brand, and channel. It learned to recognize behavior patterns, predict engagement paths, and surface hidden user affinities. The stack evolved from a collection of reflexes into an intelligent system capable of adapting to market-specific needs while maintaining coherent user understanding.Data Governance Through a Data TemplateData governance rarely sparks joy. Yet Ana's work at Stanley Black & Decker proved that operational elegance hides in unexpected places. A data template, speaking the CDP's native language, transformed scattered global operations into a synchronized intelligence network without strangling regional teams in process.The system worked through elegant behavioral design, not brute-force mandates. Forms matching the template's structure flowed seamlessly into unified customer profiles within 36 hours. Non-compliant data languished in digital limbo, requiring manual resurrection through tedious cross-departmental coordination. This natural selection pressure rapidly evolved team behavior from template resistance to passionate advocacy.Market dynamics morphed at quantum speed. Regional teams caught form errors before deployment. Landing pages multiplied perfectly across continents. Data streamed automatically into unified profiles while teams slept. New requirements integrated organically without breaking existing flows. Most critically, cross-market performance comparison transformed from weeks of reconciliation hell into instant insight generation.The template's adaptive properties challenged conventional governance wisdom. It maintained rigid standards while enabling local flexibility....

Send us a textIn this special replay episode of Making Data Simple, Al Martin sits down with Matt Cowell, CEO of QuantHub, to dive deep into data literacy, upskilling, and solving learning challenges. Matt shares his expertise on defining data fluency, the best ways to learn, and how organizations can close the data skill gap. From client use cases to leadership insights, this episode is packed with valuable takeaways for businesses and individuals navigating the data-driven world.Show Notes & Chapter Markers:⏳ 2:25 – From SVP of Products to Data Learning Business

Send us a textIn this special replay episode of Making Data Simple, Al Martin sits down with Matt Cowell, CEO of QuantHub, to dive deep into data literacy, upskilling, and solving learning challenges. Matt shares his expertise on defining data fluency, the best ways to learn, and how organizations can close the data skill gap. From client use cases to leadership insights, this episode is packed with valuable takeaways for businesses and individuals navigating the data-driven world.Show Notes & Chapter Markers:⏳ 2:25 – From SVP of Products to Data Learning Business

«Leadership is about sowing the common vision and the common way forward, bringing the people with you.»How can a nuclear physicist transform into a data leader in the industrial sector? Kristiina Tiilas from Finland shares her fascinating journey from leading digitalization programs at Fortum to shaping data-driven organizations at companies like Outokumpu and Kemira. Kristiina provides unique insights into navigating complex data-related projects within traditional industrial environments. With a passion for skydiving and family activities, she balances a demanding career with an active lifestyle, making her an inspiring guest in this episode.We focus on the importance of data competence at the executive level and discuss how organizations can strengthen data understanding without a formal CDO role. Kristiina shares her experiences in developing innovative digitalization games that engage employees and promote a data-driven culture. Through concrete examples rather than technical jargon, she demonstrates how complex concepts can be made accessible and understandable. This approach not only provides a competitive advantage but also transforms data into an integral part of the company's decision-making processes.Here are my key takeaways:The AI hype became a wake-up moment for Data professionals in Finland taking the international stage. As a leader in dat you need to balance data domain knowledge and leadership skills. Both are important.Leadership is important to provide an arena for your data people to deliver value.As a leader you are in a position that requires you to find ways of making tacit knowledge explicit. If not you are nit able too use that knowledge to train other people or a model.CDOThe Chief Data Officer is not really present in Nordic organizations.An executive role for data is discussed much, but in reality not that widespread.Without CDO present, you need to train somebody in the top leadership group to voice data.CDO is different in every organization.Is CDO an intermediate role, to emphasis Data Literacy, or a permanent focus?You can achieve a lot through data focus of other CxOs.Make data topics tangible, this is about lingo, narratives, but also about ways of communicating - Kristiina used gamification as a method.Creating a game to explain concepts in very basic terms with clear outcomes and structure can help with Data Literacy for the entire organization.Data in OT vs. ITPredictions and views on production should be able to be vision also in Operational Settings on all levels. There should not be any restriction in utilizing analytical data in operational settings.Security and timeliness are the big differentiators between OT and IT.These are two angles of the same. They need to be connected.IoT (Internet of Things) requires more interoperability.Extracting data has been a one way process. The influence of Reverse ETL on OT data is interesting to explore further.There are possibilities to create data driven feedback loops in operations.Data TeamsIf you start, start with a team of five: One who knows the data (Data Engineering) One who knows the businessOne who understands Analytics / AIOne who understands the users / UXOne to lead the teamYou can improve your capabilities one step at a time - build focus areas that are aligned with business need an overall strategy.If you expect innovation from your data team, you need to decouple them from the operational burden.Show your value in $$$.

How is AI-powered data engagement, driven by GPT and LLMs, transforming revenue management from a technical skill into a universal language?A seasoned business and technology visionary, Alan Young is the VP, Hospitality Strategy for Infor. He is recognized for his provocative insight into how emerging technology impacts industries and how leaders can better connect with their customers and employees for sustained growth. Alan also sits on several hotel and travel technology advisory boards and is known for his ability to turn difficult concepts into easy-to-understand ideas that drive meaningful outcomes and actions.He is a respected thought-leader, battle-tested consultant, mentor, and sought-after keynote speaker on the topics of business strategy, growth, transformation, and innovation. Alan focuses on increasing business awareness and believes that everything hinges on the power of communication and effective storytelling.

Data is pouring into your business every second, but where are the insights you need to act on it? Just 27% of business executives in a recent Forrester study said their data and analytics projects produce actionable insights.  In this episode, we look at how AI can help bridge the gap between the overwhelming amounts of data available today and the actionable intelligence executives need to drive results. Knownwell CMO Courtney Baker, CEO David DeWolf, and Chief Product and Technology Officer Mohan Rao kick things off by breaking down the journey from raw data to wisdom. They discuss why 60-70% of enterprise data goes unanalyzed and how leaders can leverage AI to surface hidden insights, not just confirm what they already know. Plus, they explain why vision is critical: if you don't know what you're looking for, your AI won't either. For our expert interview, Pete Buer sits down with Arman Eshraghi, CEO of Qrvey, to discuss how SaaS companies can embed analytics into their products, empowering customers with self-serve insights. Arman shares practical advice for SaaS leaders on turning data into a competitive advantage, plus a sneak peek of Knownwell's own Mohan Rao's recent appearance on Arman's SaaS Scaled podcast. All of that PLUS another installment of AI in the Wild with Pete Buer. Pete and Courtney dive into OpenAI's new deep research tool—an AI agent that might actually live up to the hype, according to Casey Newton of Platformer. Learn why it could revolutionize market research and competitive analysis but why it's also best suited for those with a foundational understanding of the topic at hand. Want to turn your business data into clear, actionable insights? Visit knownwell.com to learn more about the Knownwell platform. Watch this episode on YouTube: https://youtu.be/gNEMu_uLvGE  Show Notes & Related Links Connect with Arman Eshraghi on LinkedIn Connect with David DeWolf on LinkedIn Connect with Courtney Baker on LinkedIn Connect with Mohan Rao on LinkedIn Connect with Pete Buer on LinkedIn Watch a guided Knownwell demo Read The Human Impact of Data Literacy from Accenture, which includes a number of stats cited in the episode Follow Knownwell on LinkedIn Tags: #AI #DataAnalytics #BusinessIntelligence #AIinBusiness #EmbeddedAnalytics #DataInsights #SaaS #AIforExecutives #CustomerInsights #DataStrategy #EnterpriseAI #OpenAI #DeepResearch #AIApplications #BusinessGrowth

Punktprognosen sind was für Leute, die gerne enttäuscht werden ;) Wir befassen uns in dieser Episode mit der Quantifizierung und Kommunikation von Unsicherheit bei Prognosen. Dabei gehen Mira und Amit auf klassische Statistik, Bayes-Methoden, Machine Learning, Bootstrapping und Conformal Predictions ein. Außerdem gehen sie auf Herausforderungen der Data Literacy und bei rechenintensiven Ansätzen zur Bestimmung der Unsicherheit ein. Zusammenfassung Warum Unsicherheiten unverzichtbar sind (Beispiel Wetter-, Wahl-, Bewerberprognosen) Klassische Statistik: Konfidenzintervall vs. Prediction Intervall Bayesianische Sicht: Glaubwürdigkeitsintervalle ML-Methoden ohne Verteilungsannahmen: Bootstrapping & Conformal Predictions Rechenaufwand vs. Modellannahmen Data Literacy als Schlüssel zum richtigen Interpretieren von Prognoseintervallen Praxisnahe Beispiele und Entscheidungshilfen Links #10: Signifikanz https://www.podbean.com/ew/pb-y25ti-12fab65 #44: Lineare Regression in der Praxis – Oldie oder Goldie? https://www.podbean.com/ew/pb-jiecf-15d0ac1 #56: Unsere Bundestagswahl-Prognose: Wer gewinnt die Wahl 2025? https://www.podbean.com/ew/pb-hwgnd-16e446e Wer gewinnt die Bundestagswahl 2025? www.wer-gewinnt-die-wahl.de Molnar (2023): Introduction To Conformal Prediction With Python. A Short Guide For Quantifying Uncertainty Of Machine Learning Models. Sammlung von Ressourcen zu Conformal Predictions https://github.com/valeman/awesome-conformal-prediction/ Feedback, Fragen oder Themenwünsche gern an podcast@inwt-statistics.de

In dieser Folge spricht Jacqueline Klusik-Eckert mit Torsten Veit über historische Netzwerkforschung als Methode für die Kunstgeschichte. Dabei steht neben seiner eigenen Forschung auch die Frage im Raum, mit welchen digitalen Werkzeugen man sich hochkomplexen historischen Zusammenhängen nähern kann. Neben Programmen für die Anreicherung der Daten gehört dabei auch ein tieferes Verständnis für Datenvisualisierungen und Statistiken.Um komplexe Beziehungsgeflechte zu erforschen und zu verstehen, braucht es neben diesen digitalen Hilfsmitteln noch ein großes Verständnis von historischen Zusammenhängen und Sozialgeschichte. Torsten betont die Bedeutung der Netzwerkforschung, nicht nur als Methode zur Datenorganisation, sondern auch als einen Weg, um historische und kunsthistorische Zusammenhänge neu zu interpretieren. Dabei wird deutlich, dass Netzwerkanalysen weit über die reine Betrachtung sozialer Beziehungen hinausgehen, indem sie auch Objekte und Kunstwerke als zentrale Knotenpunkte innerhalb eines Netzwerkes behandeln können.Die Diskussion bietet auch eine kritische Auseinandersetzung mit den Limitationen und Herausforderungen der Netzwerkforschung, wie der Umgang mit lückenhaften historischen Daten und die Notwendigkeit, Netzwerkvisualisierungen sorgfältig zu interpretieren. Thorsten teilt seine Erfahrungen mit der praktischen Anwendung von Netzwerkanalyse-Tools wie Gephi und die Relevanz dieser Methoden für die kunsthistorische Forschung. Es zeigt sich in dem Gespräch deutlich, dass ein fundiertes Kontextwissen notwendig bleiben wird, um die Visualisierungen und Netze zu interpretieren.Torsten Veit M.A. ist Wissenschaftlicher Koordinator und Datenmanager des Herrenhauszentrum des Ostseeraums am Caspar-David-Friedrich-Institut, Universität Greifswald und Akademischer Mitarbeiter der Data Literacy an der FH Potsdam.Begleitmaterial zu den Folgen findest du auf der Homepage unter https://www.arthistoricum.net/themen/podcasts/arthistocast.Alle Folgen des Podcasts werden bei heidICON mit Metadaten und persistentem Identifier gespeichert. Die Folgen haben die Creative-Commons-Lizenz CC BY 4.0 und können heruntergeladen werden. Du findest sie unter https://doi.org/10.11588/heidicon/1738702Bei Fragen, Anregungen, Kritik und gerne auch Lob kannst du uns gerne per Mail kontaktieren unter podcast@digitale-kunstgeschichte.de

In this episode of Careers Unwrap, host Mark Fawcett sits down with Guy Hanson, Vice President of Customer Engagement at Validity, to explore the evolving world of digital marketing and data management. They discuss the AI revolution's impact on marketing, the critical importance of data literacy in modern careers, and how to build successful customer engagement strategies. Guy shares valuable insights from his 35-year journey in tech and marketing, offering essential advice for those starting their careers in this rapidly changing field.

In this episode of the Lights on Data show, hosts George and Diana welcome Jordan Morrow, often called the 'Godfather of Data Literacy,' for an insightful discussion. Jordan, a bestselling author and pioneer in data literacy programs, shares key insights from his latest book, Business 101 for the Data Professional. The episode explores the critical importance of data professionals understanding business needs and outcomes, effective communication strategies, the nuances of networking, and the significance of cultural awareness. Jordan also offers practical advice for data professionals to excel in their careers by mastering business strategy and its application to data-driven decision-making.

In dieser Folge sprechen wir über die Bedeutung von Mitarbeiterqualifikationen in Data Literacy und wie DB Training gemeinsam mit StackFuel die Deutsche Bahn dabei unterstützt, genau diese Fähigkeiten voranzubringen. Außerdem erfährst du, wie der Quereinstieg vom Developer zum Data Scientist gelingt, wie Digitalisierung das Lernen verändert, welchen Einfluss generative KI darauf hat und welche personellen, technischen und organisatorischen Voraussetzungen dabei eine Rolle spielen uvm. Mehr dazu im Interview. Jobs: Wenn auch du eine Arbeitgeberin willst, die dir ein Umfeld zum Lernen und Wachsen bietet, dann schaue jetzt vorbei auf db.jobs. Links zur Folge: Get in touch. Gerd: https://www.linkedin.com/in/gerd-schumacher-b8a66182/ Leo: https://www.linkedin.com/in/leomarose/ Mein LinkedIn: https://www.linkedin.com/in/jan-g%C3%B6tze-178516a6/ Erfahre mehr über die IT-Welt bei der Deutschen Bahn: https://db.jobs/de-de/dein-einstieg/akademische-professionals/it

Thu, 23 Jan 2025 23:00:00 +0000 https://businessunplugged.podigee.io/89-barbaralampl-empathicbusiness 1424f673e11db04a2cfdfa777170c0ad Hallo und willkommen zu Folge 89, in der es u.a. um den Mental Model Mismatch geht, der zum Scheitern vieler AI/Data-Science-Ambitionen in Unternehmen führt. Genau darüber habe ich mit Barbara Lampl gesprochen, Verhaltensmathematikerin und Expertin für Datenwissenschaft und Künstliche Intelligenz sowie Gründerin von Empathic Business. Es ging um Herausforderungen und Chancen, die sich aus der Kombination von Empathie und KI ergeben, sowie die Notwendigkeit, tradierte mentale Modelle zu überdenken und anstatt lösungsorientiert problemorientiert zu denken. Ein Gespräch, das ihr nicht verpassen solltet und bei dem ihr definitiv für eure KI-Reise wertvolle Inputs erhaltet. Mein Gast: Barbara Lampl (LinkedIn) Empathic Business Blog Substack Train the KI Trainer Feedback & Wunschgäste: podcast@peopex.de Über mich: LinkedIn XING Instagram PEOPEX GmbH 89 full no AI,Digitalisierung,Transformation,Mental Models,Psychologie,C-Level,Leadership,Change Management,Data Literacy,Technologie Prof. Dr. Johannes Pohl, Barbara Lampl 2841 89

What does it take to create a truly data-driven culture? How can organisations empower their people beyond data teams to make better decisions with data? In this episode, we're joined byGreg Freeman Founder & CEO of Data Literacy Academy and their Director of Education & Data Katy Gooblar.Data Literacy Academy is an organisation dedicated to solving data literacy challenges across industries and is on a mission to help people and businesses become more confident and capable with data building skills that drive real impact. Their approach focuses on working with entire organisations, not just data professionals, to ensure everyone has the tools, mindset, and confidence to use data effectively in their everyday roles. The academy connects data initiatives to tangible business goals, measuring success in ways that go beyond simple adoption metrics to demonstrate meaningful outcomes. Katy and Greg also highlight the importance of hands-on, practical learning in creating lasting change, and why developing the right mindset is just as crucial as technical skills. We dive into the academy's broader mission: making data literacy accessible to everyone and using data education to tackle societal challenges. An inspiring discussion on the future of data literacy and how Data Literacy Academy is helping organisations and individuals unlock their full potential enjoy the episode! 0:00 Intro1:36 Data Literacy and Organisational Challenges 4:46 Defining Data Literacy and Its Importance 9:02 Measuring Success and ROI in Data Literacy Programs 13:53 Founding Data Literacy Academy 17:04 Growth and Evolution of the Data Literacy Academy 25:00 Addressing Barriers and Misconceptions in Data Literacy 32:01 The Role of Data Literacy in Business Strategy 41:23 Engaging Leaders and Overcoming Budget Constraints 48:05 Future of Data Literacy and Education 1:02:46 Quick Fire Data Lightning Round For more information head to https://www.miraitalent.com/To learn more about Data Literacy Academy head to https://www.dl-academy.com/Welcome to “Let's Talk Data”, a deep dive into the transformative realm of data with the trailblazers of this disruptive industry.Your host Emma Crabtree explores the latest trends and developments in the data sector, while also delving into the personal stories of these data pioneers.They reveal how they harness data, not just in business, but in shaping their everyday lives, from optimising daily routines to making data-informed decisions. You'll hear about their motivations, role models, and how they plan to use their position to innovate, inspire and influence change.Many companies today are still missing the golden opportunity to unlock true potential with their data. Our conversations will shed light on this untapped potential as well as the pivotal role that data professionals play in driving progress.“Let's Talk Data” is your go-to source for inspiration and knowledge, providing a front-row seat to the future of data-driven insights and innovations.

The Future of AI and Data in 2025:  There's a lot of excitement and prototyping around AI. "People are excited that they can ask questions and get real answers instead of getting the proverbial 10 blue links. I think people see the promise of things like that. How do you make that work at scale? How do you make that work in a reliable way, and how do you make it work in a way that's not expensive?" Ramaswamy shares a recent experience in India, describing the cost-consciousness of customers and the focus on making data accessible and valuable.Shifting Priorities for Snowflake Customers:  What do customers want? Ramaswamy identifies goals including empowering business users with data faster and unlocking the value of unstructured information. In response, Snowflake is helping customers access and utilize historical information and build hybrid systems. He notes that SQL enables easier data transformations and extractions.Cultural Change and AI Adoption: Cultural change is required for companies to handle AI. Even within Snowflake, adopting AI has been a challenging process. Snowflake's engineering and sales teams are beginning to use AI tools like Copilot and Cortex, but there's a need for ongoing practice to fully integrate AI into daily operations. The Promise of AI and Data Platforms: AI has the potential to free up significant time for employees, allowing them to focus on higher-value tasks. Snowflake aspires to make data platforms simple and accessible, allowing users to perform complex tasks with ease. Its consumption model has several benefits and aligns it with business goals of making more money or spending less. Companies like Siemens are using chatbots to improve efficiency and access to information.Competition and Innovation in the Data Market: Competition, Ramaswamy says, drives innovation and improves products. It only strengthens Snowflake, which stands apart due to its unified platform, tight integration, and ease of use. "If you create a chatbot with Snowflake, it will automatically obey all of the access control rules that you have set up. It will automatically obey all of the data masking that your administrator has set up." Ramaswamy discusses the challenges of balancing innovation with maintaining simplicity and efficiency in Snowflake's product offerings.Mega Trends and Challenges for Snowflake: Ramaswamy sees two mega trends for 2025: the rise of interoperable data formats and the acceleration of AI. Snowflake is well-positioned to take advantage of these trends through its end-to-end offerings and data engineering capabilities. However, there are challenges to maintaining data quality and speed while innovating rapidly. AI tools like agents must drive real utility and value for customers.Data Literacy Initiative: One Million Minds Plus One: Snowflake has a new initiative aimed at improving data literacy. Data can be difficult to interpret, and the right skills are necessary to do so. Snowflake is spearheading an ambitious program to educate over a million people in data literacy, free of charge. The initiative includes teaching concepts like data engineering, data analytics, and using BI tools and notebooks for interactive analysis.Excitement for 2025: Sridhar expresses excitement about the potential for AI and data to drive real business transformations in 2025. Snowflake will continue to play a vital role in helping customers become truly data-driven organizations. Navigating growth, competition, and innovation while maintaining simplicity and value for customers is key.

Join us in a chat with Collin Graves, CEO of North Labs, about building trust in data and accelerating cloud maturity. Learn how Collin's journey from the US Air Force to data analytics shaped his approach to helping organizations in manufacturing, healthcare, and education. Discover tips on starting small, creating solid data foundations, and tackling challenges like disparate systems and AI adoption. Perfect for leaders looking to enhance data literacy and drive long-term success.Panelists: Megan Bowers, Sr. Content Manager @ Alteryx - @MeganBowers, LinkedInCollin Graves, Founder and CEO of North Labs - LinkedInShow notes: Analytics Maturity Assessment5 Steps to Improve Your Organization's Analytics Maturity Interested in sharing your feedback with the Alter Everything team? Take our feedback survey here!This episode was produced by Megan Bowers, Mike Cusic, and Matt Rotundo. Special thanks to Andy Uttley for the theme music and Mike Cusic for the for our album artwork.

The Inside Economics hosts welcome Professor Alice Kassens to discuss her use of the Inside Economics podcast as a teaching tool at Roanoke College. Alice describes how the podcast inspires her students to learn about and debate the meaning of economic releases. After a quick round of the statistics game which Alice dominates, the group discusses the effects of a potential government shutdown on the economy and financial markets. Guest: Alice Louise Kassens, Professor of Economics at Roanoke College  More Cowbell: Using Inside Economics to Develop Data Literacy and Camaraderie (JET, 2024)Intemperate Spirits: Economic Adaptation During Prohibition (2019)Interested in joining Economic View: Real Time? Take a free trial todayThe Economic View-Real Time information service is the single web-based source that covers the global economy and financial markets around the clock. The service provides real-time analysis of key economic and financial market developments along with analysis of more than 250 economic releases. Economic View enables users to easily access data, analysis of economic events, trends and risks.Hosts: Mark Zandi – Chief Economist, Moody's Analytics, Cris deRitis – Deputy Chief Economist, Moody's Analytics, and Marisa DiNatale – Senior Director - Head of Global Forecasting, Moody's AnalyticsFollow Mark Zandi on 'X' and BlueSky @MarkZandi, Cris deRitis on LinkedIn, and Marisa DiNatale on LinkedIn

Discover how top marketers bridge the gap between data and human understanding with insights on data literacy, leadership, storytelling, and a cookie-less future in this special, year-end clips episode!  SHOWPAGE: www.ninjacat.io/blog/wgm-podcast-bridging-the-gap-between-data-and-human-understanding  © 2024, NinjaCat

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.

Empowering teams with data is essential for any organization aiming to drive better decision-making. This week, Chief Data Citizen, Stijn Christiaens connects with Ruben Missinne, Data Analytics Officer at Colruyt Group, to break down how the company built a “data marketplace” to support decentralized access, enabling employees across departments to leverage data effectively and independently.Whether fostering data craftsmanship and trust through hands-on learning opportunities like hackathons and collaborative coaching, or by decentralizing data access and prioritizing transparency, Colruyt has built a culture where data is trusted and actionable. Leaders looking to transform their own data strategy will find valuable insights in their approach to making data an integral part of daily operations.Three reasons you should listen to this episode:1. Empower teams through decentralized data access. Discover how Colruyt's “data marketplace” model enables employees across the organization to use data independently, driving more effective, data-informed decision-making.2. Strengthen data culture with practical, hands-on learning. Ruben shares Colruyt's approach to data literacy through hackathons and collaborative coaching, making data skills accessible to everyone.3. How transparency and trust enhance data use. Explore how Colruyt builds trust in its data through transparency and open access, ensuring that data is both reliable and integral to daily operations.ResourcesConnect with StijnConnect with RubenEnjoyed 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.

A major data skills initiative to help thousands of non-IT Irish professionals to become data literate and keep pace with the digital revolution has been launched, supported by Technology Ireland Digital Skillnet in collaboration with Microsoft. Data SMART is aimed at equipping professionals across Ireland who do not work in IT-based roles with the confidence and essential data skills - or data literacy - that they need to thrive in today's workplace. Created by the Technology Ireland Digital Skillnet in association with the Analytics Institute and Microsoft, thousands of non-tech workers can now ensure that their skills are current and relevant to a digital future. Studies show that those staff that are familiar with core data skills will progress faster in their careers. Furthermore, research confirms that companies making data-driven decisions make faster market progress and revenue. Data SMART will allow working professionals to acquire data literacy competence in a flexible, low-cost way during a 12-week learning window that combines online tutorials with hands-on, interactive workshops. Participants will acquire skills in Data Collection and Cleaning, Data Transformation and Interpretation, Data Visualisation and Storytelling, as well as Ethics, Privacy, Security and Data Governance. A Data SMART Foundation Certificate in Data Skills will be awarded by the Analytics Institute and Microsoft to recognise participants' new data skills. Commenting at the launch of Data SMART in Microsoft HQ in Leopardstown, Dublin yesterday, Maire Hunt, Network Director of Technology Ireland Digital Skillnet, said: "Data SMART is the most ambitious national upskilling opportunity for companies to adopt essential data skills that has been created to date. Our ambition is to train over 10,000 professionals from all backgrounds and across all sectors over the next three years." Lorcan Malone, Analytics Institute CEO, said: "Already multiple companies have signed up for the Data SMART Initiative with companies able to train large numbers of staff in a very flexible, low-cost manner, with minimum impact on the flow of work. This will boost careers national and internationally, as well as enabling leaders to adopt a data driven approach to decisions in an increasing challenging commercial landscape." Microsoft, a world leader in technology, sees this initiative as a chance to equip Irish workers with practical data knowledge and provide a stepping stone to better skills and brighter career prospects. Microsoft Ireland Head of Future Skilling, Dr Kevin Marshall, said: "Microsoft Ireland is committed to providing upskilling opportunities for all. As organisations engage with the AI revolution, data analysis skills are fundamental. This initiative will equip individuals with crucial skills for effective data navigation and informed decision-making. We are pleased to collaborate with the Technolofgy Ireland Digital Skillnet and the Analytics Institute on this important programme." How to Apply for the Data SMART Initiative: Data SMART is open to workers in the Republic of Ireland with part-funding available from Technology Ireland Digital Skillnet. Spaces are limited, so interested professionals are encouraged to apply soon. For more information and to sign up, visit www.datasmart.digitalskillnet.ie More about Irish Tech News Irish Tech News are Ireland's No. 1 Online Tech Publication and often Ireland's No.1 Tech Podcast too. You can find hundreds of fantastic previous episodes and subscribe using whatever platform you like via our Anchor.fm page here: https://anchor.fm/irish-tech-news If you'd like to be featured in an upcoming Podcast email us at Simon@IrishTechNews.ie now to discuss. Irish Tech News have a range of services available to help promote your business. Why not drop us a line at Info@IrishTechNews.ie now to find out more about how we can help you reach our audience. You can also find and follow us on Twitter, LinkedIn, Facebook, Inst...

In this next episode of We're Not Marketers, hosts Zach, Gab, and Eric are joined by Rahim Kaba, Director and Research Analyst at Gartner, to dive into the evolving role of PMM in B2B SaaS. With over 20 years of experience in the field, Rahim shares data with perspective on the function and challenges that come with it today. Key highlights include:- The Core Identity of Product Marketers: Rahim argues that product marketers are unequivocally marketers, backed by data showing 81% of PMMs report directly to marketing teams.- Shifting Expectations and Responsibilities: Learn about the changing scope of product marketing, from content creation roles to strategic leaders in positioning and storytelling.- Strategic Insights on Launch Cadences: Rahim discusses the importance of aligning release cycles with customer adoption capabilities and how to avoid launch fatigue.- Must-Have PMM Skills: Emphasis on the significance of data literacy, with tips on upskilling and resources like the Data Literacy Project.- Build Internal Influence: Best practices to clarify PMM roles through charters and RACI models to strengthen cross-functional alignment.The conversation also touches on the growth of fractional product marketers, the implications of market trends, and advice on how PMMs can elevate their strategic influence internally.Whether you're a seasoned product marketer or just starting out, this episode is packed with practical tips, valuable research insights (umm Gartner, bro), and a clear roadmap to reinforce PMM's impact in any company. Tune in for a ‘deep-sea of research' dive of how PMMs can thrive in today's competitive landscape.Time Stamps 02:11 Rahim's Background and Role at Gartner03:15 Are Product Marketers Really Marketers?07:06 Challenges and Misunderstandings in Product Marketing09:51 The Evolution of Product Marketing14:56 Data Literacy in Product Marketing18:12 Impact of Layoffs on Product Marketing21:04 Rise of Fractional Product Marketers23:46 Specialization in Product Marketing25:28 The Appeal of Fractional Product Marketing27:06 Challenges and Strategies for PMMs28:49 Effective Product Launch Strategies33:22 Balancing Product and Marketing Priorities34:44 The Role of PMMs in Organizations38:06 Building a Product Marketing Charter44:16 Using Gartner InsightsWhere more to follow and connect with Rahim?Rahim Kaba LinkedIn Gartner Time to Value PodcastGartner for High Tech LinkedIn PageFree Gartner Webinar Recording: How Growth Organizations Source Critical PMM SkillsHosted by Ausha. See ausha.co/privacy-policy for more information.

Key Moments: Focusing on Value with Bill Schmarzo 1:48Unlocking the Collective Genius with Walid Mehanna 4:07Building a Data-Literate Workforce with Valerie Logan 5:58Creating a Human-Centric AI Strategy with Sadie St. Lawrence 7:40Selecting the Right Tools with Katie Russell 11:23Implementing tools responsibly with Robert Garnett 16:00Why Clean Data Matters with Barr Moses 19:36Ensuring Responsible AI for the Long-Term with Dr. Gary Marcus 25:45 Key Quotes:“Data-driven is not important. Value-driven—that's what's important. We should focus on value.” — Bill Schmarzo, Head of Customer Data Innovation at Dell Technologies“Our role was rather to activate the organizational muscle… to try things out and tell us what has the highest opportunity and possibility.” — Walid Mehanna, Chief Data and AI Officer at Merck Group“It's really a mindset and a muscle… we need to foster this kind of lasting change.” — Valerie Logan, CEO of the Datalodge“Teaching people to ask better questions is more about critical thinking than technology.” — Sadie St. Lawrence, Founder of the Human Machine Collaboration Institute“We wanted to make analytics accessible to everyone, combining real-time data and intuitive tools so every team member can gain insights and contribute to our mission to decarbonize.” — Katie Russell, Head of Data and Analytics at OVO Energy As we are looking at applications of AI within our environment, we are focused first on responsibility, making sure that we have a broad enough data set when we're building machine learning models, for instance. And so that's at the heart of anything that we do.” – Robert Garnett, Vice President for Government Analytics and Health Benefits Cost of Care at Elevance Health“Our world is moving towards a place where data is the product—and in that world, directionally accurate just doesn't cut it anymore.” — Barr Moses, CEO and Co-Founder of Monte Carlo“The tech policy that we set right now is going to really affect the rest of our lives.” —  Dr. Gary Marcus, Scientist, Advisor to Governments and Corporations, and Author of Taming Silicon ValleyGuest Bios Bill Schmarzo Bill Schmarzo has extensive hands-on experience in the areas of big data, data science, designthinking, data monetization, and data economics. Bill is currently part of Dell Technology's core data management leadership team, where he is responsible for spearheading customer co-creation engagement to identify and prioritize the key data management, data science, and data monetization requirements.Walid MehannaWalid Mehanna is Chief Data & AI Officer at Merck KGaA, Darmstadt, Germany, where he leads the company's Data & AI organization, delivering value, governance, architecture, engineering, and operations across the company globally. With many years experience in startups, IT, and consulting major corporations, Walid encompasses a strong understanding of the intersection between business and technology. Katie RussellKatie Russell is the Data Director at OVO Energy, leading teams of Data Scientists, Data Engineers and Analysts who are transforming OVO's data capability. As part of a technology led business, leveraging data using artificial intelligence keeps OVO truly innovative, delivering the best possible service for our customers. Rob GarnettRobert Garnett serves as Vice President for Government Analytics and Health Benefits Cost of Care at Elevance Health. In this role, he leads a data-driven organization supporting analytics and insights for Medicaid, Medicare, Commercial and enterprise customers in the areas of population health, cost of care, performance management, operational excellence, and quality improvement. Valerie LoganFounding The Data Lodge in 2019, Valerie is as committed to data literacy as it gets. With train-the-trainer bootcamps, and a peer community, she's certifying the world's first Data Literacy Program Leads. In 2023, The Data Lodge was acquired as the basis of a newly formed venture, Data Society Group (DSG), aimed at fostering data and AI literacy and cultural change at scale. Valerie is excited to also serve as the Chief Strategy Officer of DSG. Previously, Valerie was a Gartner Research VP in the CDO team where she pioneered Data Literacy research and was awarded Gartner's Top Thought Leadership Award.Sadie St. LawrenceSadie St. Lawrence  is on a personal mission to create a more compassionate and connected world through technology. Having grown up on a farm in Iowa she witnessed first-hand how advancements in technology rapidly changed how we work and earn a living, which in turn affected the overall success of a community. Through her work, she noticed that while many organizations and individuals have good intentions when it comes to D&I in data careers, there was a lack of progress.Dr. Gary MarcusGary Marcus is a leading voice in artificial intelligence. He is a scientist, best-selling author, and serial entrepreneur (Founder of Robust.AI and Geometric.AI, acquired by Uber). He is well-known for his challenges to contemporary AI, anticipating many of the current limitations decades in advance, and for his research in human language development and cognitive neuroscience. An Emeritus Professor of Psychology and Neural Science at NYU, he is the author of six books. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

Discover insights on data literacy in marketing, as Dale Harrison utilizes his full suite of skills and academic prowess to debunk buzzwords, tackle correlation vs. causation, and emphasize the importance of critical thinking over raw metrics for effective strategies. SHOWPAGE: www.ninjacat.io/blog/wgm-podcast-marketing-data-literacy  © 2024, NinjaCat

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.A new course is out now! Chrome DevTools for Digital MarketersLatest content from Juliana & SimoArticle: GA4 to Piwik PRO Using Server-side Google Tag Manager by Simo AhavaArticle: Unlocking Real-Time Insights: How does Piwik PRO's Real-Time Dashboarding Feature work? by Juliana JacksonAlso mentioned in the EpisodeKick Point Playbook content consumption tracking recipe from DanaKick Point Playbook Newsletter - The HuddleDana's LinkedIn Learning CoursesGoogle Developers AcademyConnect with Dana DiTomasoDana's LinkedinKick Point Playbook website This podcast is brought to you by Juliana Jackson and Simo Ahava. Intro jingle by Jason Packer and Josh Silverbauer.

Brianne Gallagher, Head of Creative Operations at Wayfair, shares innovative strategies for reimagining creative operations. Drawing parallels with Hollywood production methods, she introduces concepts like the "producer mindset" and strategic "casting" of talent, while exploring how to balance human creativity with AI capabilities to drive breakthrough innovations.5 of 10 Key Takeaways:The "Producer Mindset": Adopting a Hollywood-inspired approach to creative operations involves strategically "casting" talent based on their unique strengths or "majors and minors," rather than just job titles. This method enhances team dynamics and project outcomes.Balancing AI and Human Creativity: While AI offers unprecedented efficiency and scale in content creation, it risks producing a "sea of sameness." The key is to leverage AI's capabilities while prioritizing human-driven storytelling and emotional connection to maintain creative distinctiveness.Redefining Success Metrics: Traditional KPIs fall short in measuring creative impact. Innovative approaches that incorporate qualitative metrics to capture emotional resonance and audience sentiment are crucial for truly understanding creative performance.The Rise of the Creative Technologist: This emerging role bridges the gap between creative teams and cutting-edge technology, helping organizations effectively adapt to and leverage new tools, especially AI.Data Literacy for Creatives: In the AI era, data skills are essential for creative professionals. Data literacy empowers creatives to make informed decisions, demonstrate their value, and contribute strategically to business goals.Tune in for those and other great takeaways! Connect With Brianne With Nish 

The Cognitive Crucible is a forum that presents different perspectives and emerging thought leadership related to the information environment. The opinions expressed by guests are their own, and do not necessarily reflect the views of or endorsement by the Information Professionals Association. During this episode, Remi Whiteside discusses his Ph.D. research and dissertation which is entitled: Peering into US Army Media, Information, and Data Literacy Fundamentals against Malign Information in the Open Information Environment: A Qualitative Case Study. According to Remi Whiteside, the US Army currently has no institutionalized program-of-record for educational development, uniquely designed for its population of uniformed Information Professionals in training to detect, analyze, and scrutinize malign information in the Open Information Environment. Unlike its peer services, the US Army does not perceive malign information, a reimagined tool of ideological subversion, as a high-caliber threat so far as to invest the time, money, or resources into critical, foundational metaliteracy competencies needed for its Information Professionals for the Open Information Environment.  Recording Date: 1 Aug 2024 Research Question: Remi Whiteside suggests an interested student ask–in relation to media and information—how do narratives derived from the Open Information Environment shape servicemembers' metanarratives and do these metanarratives conflict with military identity? Resources: Peering into US Army Media, Information, and Data Literacy Fundamentals against Malign Information in the Open Information Environment: A Qualitative Case Study Syntactic Structures by Noam Chomsky Rhet Ops: Rhetoric and Information Warfare (Composition, Literacy, and Culture) by Jim Ridolfo and William Hart-Davidson NOEMA Magazine Link to full show notes and resources Guest Bio: Remington Whiteside is an active-duty Chief Warrant Officer in the US Army, career education, and academic researcher into MIDLE (media, information, and data literacy education) and M2DP (malinformation, misinformation, disinformation, propaganda). He started his career as an enlisted Cryptologic Linguist, with work in strategic, SOF, and training environments. He metamorphosed to Signals Intelligence Warrant Officer, specializing in tactical SIGINT, COMINT, OSINT, PAI, OPSEC, and Intelligence Support to Cyber and Electromagnetic Warfare (EW) training as an Observer-Coach-Trainer at Fort Johnson, Louisiana at the Joint Readiness Training Center. Remi holds an undergraduate degree in Middle Eastern studies, a graduate degree in Applied Linguistics with a focus on Computational Linguistics, and a Doctor of Philosophy degree in Education. He is lovingly supported by his wife Sara and his three children: Evolette, Torben, and Soren. About: The Information Professionals Association (IPA) is a non-profit organization dedicated to exploring the role of information activities, such as influence and cognitive security, within the national security sector and helping to bridge the divide between operations and research. Its goal is to increase interdisciplinary collaboration between scholars and practitioners and policymakers with an interest in this domain. For more information, please contact us at communications@information-professionals.org. Or, connect directly with The Cognitive Crucible podcast host, John Bicknell, on LinkedIn. Disclosure: As an Amazon Associate, 1) IPA earns from qualifying purchases, 2) IPA gets commissions for purchases made through links in this post.

In Episode 46, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Katy Gooblar, Director of Education & Data at Data Literacy Academy, where they discuss how to ensure your people are AI ready, which includes; The key factors in ensuring an organisation is ready to truly harness the power of AIHow AI adoption is related to trust in leadershipUnderstanding which foundations you need to leverage AIThe interconnectivity between data literacy and AI adoptionWhy you need to focus on the silent majority The departmental nuances that affect learning and adoptionThe link between usage, trust and understanding for adoption Why literacy progress requires a lot more than training How culture can be fluid across departments and how that impacts adoption Why data literacy must be more than a side of desk activity The importance of understanding the psychological of winnings hearts and minds The educational mechanisms used to drive effective change Why you have to create key messaging that is tied to business objectives How to assess people to develop the right curriculum for individuals Why you never want people starting in the wrong place Identifying your key strategic cohorts The nuances of top down versus bottom-upGetting the communications and marketing messages out into a business Why it's not just about what people learn but how they learn and interact Thanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

As 2024 closes, it is only right to discuss where we are when it comes to AI and where we will be in the future. As technology continues to evolve and blend into science in 2025 and beyond, a practical approach to what it can and cannot do must be explored. Additionally, how overpromising while underdelivering has affected investors' and the industry's confidence in AI. Host ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Lori Ellis⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, Head of Insights, BioSpace Guests ⁠⁠Mike King⁠⁠⁠, Senior Director of Product and Strategy, IQVIA ⁠⁠⁠⁠Moritz von Stosch⁠⁠⁠⁠ Chief Innovation Officer, DataHow ⁠⁠⁠Nindhana Paranthaman⁠⁠⁠, Executive Medical Director, Clinical Development, Summit Therapeutics ⁠⁠⁠⁠Paul Agapow⁠⁠⁠⁠, Head of Data Science, BioNTech

As organisations adopt AI, data literacy has become more critical than ever. Understanding data—how it's collected, analysed, and used—is the foundation for leveraging AI effectively. Without strong data literacy, businesses risk making misguided decisions, misinterpreting AI outputs, and missing out on AI's transformative benefits. By fostering a data-driven culture, teams can confidently navigate AI tools, interpret results, and drive smarter, more informed strategies.Ready to boost your data literacy and embrace the future of AI?Key Takeaways: Companies are optimistic about ROI from AI investments.Data literacy is crucial for effective AI implementation.Technical debt poses challenges for AI infrastructure.Data quality and governance are essential for AI success.Trust in AI systems is a growing concern.Organizations must start with clear business priorities.The Data Festival will provide practical insights for AI adoption.DATA festival is where theory meets practice to create real, actionable knowledge. This event brings together #DATApeople eager to drive the realistic applications of AI in their fields.Leaving the hype behind, we look at the actual progress made in applying (Gen)AI to real-world problems and delve into the foundations to understand what it takes to make AI work for you. We'll discuss when, where and how AI is best applied, and explore how we can use data & AI to shape ourfuture.Sign up now to secure your spot

In a world where our decisions are increasingly influenced by data, understanding the information we encounter has never been more essential. Dr. Talithia Williams explains the case for data literacy. Dr. Talithia Williams, a math professor and science communicator, shares her take on why understanding data is now more important than ever. Using examples like noticing targeted ads after a conversation, Williams shows how data shapes our everyday experiences. But she also warns of the dangers, like biases in data-driven models that can lead to unfair outcomes. While AI and machine learning offer powerful insights, it's up to us to ensure these tools are used fairly and accurately. Dr. Williams also emphasizes that by deepening our understanding of data, we can better navigate the challenges that arise in our daily lives. She encourages us to see data not just as numbers, but as a tool for making more informed, fairer decisions in our bewilderingly complex world. ---------------------------------------------------------------------------------- About Dr. Talithia Williams: Talithia Williams, PhD, is a Professor of Mathematics and the Mathematics Clinic Director at Harvey Mudd College. She develops statistical models focused on environmental issues, including a cataract model for the World Health Organization to predict surgical rates in Africa. Known for making complex numerical concepts accessible, Williams inspires others through her dedication to STEM education. Williams has worked with NASA, the Jet Propulsion Laboratory (JPL), and the National Security Agency (NSA). ---------------------------------------------------------------------------------- About The Well Do we inhabit a multiverse? Do we have free will? What is love? Is evolution directional? There are no simple answers to life's biggest questions, and that's why they're the questions occupying the world's brightest minds. Together, let's learn from them. Subscribe to the weekly newsletter ► https://bit.ly/thewellemailsignup ---------------------------------------------------------------------------------- Learn more about your ad choices. Visit megaphone.fm/adchoices

Joe Whittinghill is the Chief Learning Officer at Microsoft, where having a growth mindset is at the heart of the organization's culture, and key to its  success. He joins host Olivia Neal to share his lessons in building a learning culture across 220,000 employees, based in 115 different countries. Joe shares practical insights as well as perspectives on the neuroscience of learning and the role of AI, to help us keep up to date at a time when pace of change has never been quicker. Click here for transcript of this episode.   Click here for the corresponding blog post for this episode.   Olivia Neal [host] |  LinkedIn   Joe Whittinghill [guest] |  LinkedIn  Microsoft Public Sector Center of Expertise for more information and transcripts of all episodes.  Discover and follow other Microsoft podcasts at news.microsoft.com/podcasts/. 

Want to add strategic pricing to your marketing tool box? Go to InteliChek or call 877-827-7273 and ask about our InteliShare Series!   InteliShare  contains all of our promotional tools that you can use to promote your favorable prices, including our InteliAds, the printable flyers that you can show off in easel displays, InteliMedia, for your Digital Media Boards AND InteliWidgets, so you can show off price comparisons on your website and even let your customers schedule from the widget.   Summary The conversation discusses the recent CDK cyber attack and its implications for data governance and cybersecurity in the retail automotive industry. Tim Hayden, CEO of Brain Trust Partners, highlights the importance of data literacy and the need for companies to build a single source of truth by unifying and resolving information. He emphasizes the significance of cybersecurity and regulatory compliance in the wake of the attack. The conversation also touches on the right to repair act and the challenges of managing comprehensive data and cybersecurity in the automotive industry. Hayden provides five key strategies for dealerships to shield themselves from cyber threats.   Takeaways Data literacy is crucial in understanding the role of data in artificial intelligence, media, and dealership operations. Dealerships need to invest in cybersecurity and ensure that vendors are SOC 2 tested. Implementing privileged and least privileged access protocols and enforcing regular password changes can enhance data security. Customer data platforms and master data management systems can improve operational efficiency and provide a backup in case of system disruptions. Dealerships should prioritize data management and protection to navigate the evolving landscape of data and technology. Brain+Trust Partners   Music: Featherland-Run For The Hills The Revolution-Midnight Revival Reveille-Bazaar  

Want to add strategic pricing to your marketing tool box? Go to InteliChek or call 877-827-7273 and ask about our InteliShare Series!   InteliShare  contains all of our promotional tools that you can use to promote your favorable prices, including our InteliAds, the printable flyers that you can show off in easel displays, InteliMedia, for your Digital Media Boards AND InteliWidgets, so you can show off price comparisons on your website and even let your customers schedule from the widget. Summary The conversation discusses the recent CDK cyber attack and its implications for data governance and cybersecurity in the retail automotive industry. Tim Hayden, CEO of Brain Trust Partners, highlights the importance of data literacy and the need for companies to build a single source of truth by unifying and resolving information. He emphasizes the significance of cybersecurity and regulatory compliance in the wake of the attack. The conversation also touches on the right to repair act and the challenges of managing comprehensive data and cybersecurity in the automotive industry. Hayden provides five key strategies for dealerships to shield themselves from cyber threats.   Takeaways Data literacy is crucial in understanding the role of data in artificial intelligence, media, and dealership operations. Dealerships need to invest in cybersecurity and ensure that vendors are SOC 2 tested. Implementing privileged and least privileged access protocols and enforcing regular password changes can enhance data security. Customer data platforms and master data management systems can improve operational efficiency and provide a backup in case of system disruptions. Dealerships should prioritize data management and protection to navigate the evolving landscape of data and technology. Brain+Trust Partners   Music: Featherland-Run For The Hills The Revolution-Midnight Revival Reveille-Bazaar  

Ima Okonny is the Chief Data Officer at Employment and Social Development Canada. Ima leads work across the department of 40,000 people to better understand and use data to deliver services to Canadians. In this episode she joins host Olivia Neal to discuss foundational data platform approaches, responsible use of AI, and how she's building data literacy right across the organization.  Click here for transcript of this episode.   Click here for the corresponding blog post for this episode.   Olivia Neal [host] |  LinkedIn   Ima Okonny [guest] |  LinkedIn  Microsoft Public Sector Center of Expertise for more information and transcripts of all episodes.  Discover and follow other Microsoft podcasts at news.microsoft.com/podcasts/. 

This week, Joe Earl, Director of Internal Audit at Sutter Health, joins the show.   In this episode, Joe discusses the significance of data literacy and its impact on professionals in the audit field. He provides insights on how to develop data literacy, how it can enhance understanding of the audit business, and shares resources for those eager to learn about data literacy.   Be sure to connect with Joe on LinkedIn.   Also, be sure to follow us on our new social media accounts on LinkedIn, Instagram, and TikTok.   Also be sure to sign up for The Audit Podcast newsletter and to check the full video interview on The Audit Podcast YouTube channel.   Timecodes: 2:48 - ChatGPT 5:42 - How to Develop Data Literacy 8:25 - Defining Data Literacy 13:50 - Data Literacy Resources 17:03 - Why Having Data Literacy Just Makes Sense 25:20 - How Data Literacy is Making Better Auditors 28:30 - How Data Literacy Can Help You Understand the Audit Business 32:30 - When Do You Know to Pay a Hospital Bill 35:10 - Final Thoughts   *   This podcast is brought to you by Greenskies Analytics, the services firm that helps auditors leap-frog up the analytics maturity model. Their approach for launching audit analytics programs with a series of proven quick-win analytics will guarantee the results worthy of the analytics hype.  Whether your audit team needs a data strategy, methodology, governance, literacy, or anything else related to audit and analytics, schedule time with Greenskies Analytics.  

This week, our guest is Malcom, Former Senior Vice President and Managing Director for Internal Audit Digital Transformation and Data Analytics at Northern Trust. Dave recounts his mid-40s retirement journey and his subsequent decision to return with the desire to help internal auditors in his organization.   In this episode, he reveals his approach to establishing an internal audit department, discusses the expected duties of the audit committee, and underscores the credibility boost through the strategic use of data analytics to identify outliers.   Be sure to connect with Dave on LinkedIn.   Also, be sure to follow us on our new social media accounts on LinkedIn, Instagram, and TikTok.   Also be sure to sign up for The Audit Podcast newsletter and to check the full video interview on The Audit Podcast YouTube channel.   Timecodes: 5:28 - Coming Out of Retirement 9:10 - The Impact of Generative AI 10:28 - The Importance of Investing in Data Analytics 13:58 - Data Literacy 16:21 - How to Make your Audit Department Better 19:23 - What to Expect from the Audit Committee 27:27 - How to Achieve Quantitative Risk Assessments 31:00 - Final Thoughts   *   This podcast is brought to you by Greenskies Analytics, the services firm that helps auditors leap-frog up the analytics maturity model. Their approach for launching audit analytics programs with a series of proven quick-win analytics will guarantee the results worthy of the analytics hype.  Whether your audit team needs a data strategy, methodology, governance, literacy, or anything else related to audit and analytics, schedule time with Greenskies Analytics.

In this week's episode of the PolicyViz Podcast, I interview Rahul Bhargava from Northeastern University on the topic of data physicalization. We discuss the role of community engagement and societal impact in communicating data and including different people and communities. Our conversation touches upon teaching combined majors at Northeastern and expanding data engagement through Rahul's participatory art methods. We explore the limitations of visual learning and advocate for including diverse voices via data sculptures and embodied experiences.Topics Discussed Inclusivity in Data-Driven Society. The episode opens with a discussion on the necessity of inclusivity in our increasingly data-centric world. Rahul shares his insights into how data physicalization can bridge the gap between complex data and diverse community members. Teaching Combined Majors at Northeastern. Rahul gives us a glimpse into Northeastern's approach to education, emphasizing the value of combined majors that integrate data science with other disciplines. Participatory Art Methods in Data Engagement. Rahul describes his use of art tomake data more accessible and engaging. We talk about the potential of data sculptures and embodied experiences to include those who may not be reached through traditional visual data presentations. Culturally Sensitive Approaches to Data. We discuss the importance ofunderstanding and respecting cultural differences, particularly when working with youth from lower socioeconomic backgrounds. Community Empowerment through Data. Rahul shares his strategies for adapting data collection and dissemination to empower communities, and his use of everyday materials like craft items to make data physicalization more inclusive. Data Literacy and Design Principles. Finally, we discuss on how to build data literacy by employing engaging and thoughtful design principles.➡️ Check out more links, notes, transcript, and more at the PolicyViz website.Sponsor: Ant Design System for FigmaDesign and develop Ant Design projects faster than ever! The powerful UI kit for Figma based on the most popular React UI library - Ant Design. Create and implement well-documented Ant Design apps in no time! Variables, Auto Layout, Variants, Component Properties Dedicated Figma Plugin to copy style settings from Figma to code Hover and click interactions for easy prototyping Switch between light and dark theme Developer-friendly components

Description:In this episode, Cindi Howson is joined by Valerie A. Logan, CEO and founder of the DataLodge and Chief Strategy Officer at DATA SOCIETY GROUP, and Jason Beyer, Vice President of Data and Analytics at Bridgestone Americas. They delve into the vital concepts of data literacy and AI literacy, sharing their insights and experiences in fostering a data-driven culture within organizations. Valerie, widely regarded as the "godmother of data literacy," sheds light on the three key pillars of her approach: mindset, language, and skills. Jason provides a behind-the-scenes look at how Bridgestone is cultivating data literacy, including partnerships with HR, creating a data marketplace, and fostering a community of data enthusiasts.Key Moments: Valerie Logan explains the three pillars of data literacy: mindset, language, and skills (06:16)Jason Beyer shares Bridgestone's approach to scaling data literacy, including partnering with HR and creating a data marketplace (22:10)Valerie highlights the importance of leadership in modeling the right mindset for data literacy (29:28)Cindi, Valerie, and Jason discuss the evolution of data literacy to AI literacy (33:48)Lightning round with fun questions for Valerie and Jason (38:26)Key Quotes: ISL (Information as a second language) is really a foundational methodology for how we look at the enablement of people, the empowerment of people with this capability. And when I talk about data literacy in ISL, I look at it really as three things, mindset, language, and skills. - Valerie A. LoganTerms, Techniques, then Tools. If you're trying to drive a different behavior, a tool is part of that. But how somebody thinks, how someone engages is also part of it. - Valerie A. LoganLeaders need to think about data fluency different from those that may be using data in their role or may have data as a role and recognize that there's different levels of fluency, proficiency, and the core literacy that go along with that. - Jason BeyerEven before we called it a data literacy program, we had this mindset and approach as a COE team and our value contribution to the organization is we need to raise the water for the entire organization in how we use and make the most of our data assets. - Jason BeyerMentions: Data Literacy MovementInformation as a Second Language (ISL) methodologyThe Data Lodge and Bridgestone Data Literacy WebinarGenerative AI and prompt engineering classesBiosValerie A. Logan Founding The Data Lodge in 2019, Valerie is as committed to data literacy as it gets. With train-the-trainer bootcamps, and a peer community, she's certifying the world's first Data Literacy Program Leads. In 2023, The Data Lodge was acquired as the basis of a newly formed venture, Data Society Group (DSG), aimed at fostering data and AI literacy and cultural change at scale. Valerie is excited to also serve as the Chief Strategy Officer of DSG. Previously, Valerie was a Gartner Research VP in the CDO team where she pioneered the Data Literacy research and was awarded Gartner's Top Thought Leadership Award (2018). Valerie has more than 30 years of experience in consulting leadership and telecommunications. Valerie holds a B.S. in Math (SUNY College, Buffalo) and an M.S. in Applied Math (New Mexico State).  She lives between the Adirondacks in Upstate NY, and Sarasota, FL with her husband Brian, and their yellow lab, Cooper, the Lodge mascot.Jason BeyerA Data, Analytics, & Technology pioneer with a proven ability to lead transformational change through highly complex programs across diverse teams. Jason brings global experiences from automotive, retail, industrial manufacturing, construction, medical, and government industries to fuel competitive differentiation through trusted data and profit generating analytic solutions. He has a proven ability to deliver results at an Executive level across all domains of information technology. Jason believes what's good for society is good for business. His passion is to make a positive impact for the organization where he works, the people he works with, and the community where he lives. Jason serves on multiple boards for his community of Nashville, and for the data industry