Podcasts about chief data officers

In this episode, host Stephen Goldsmith talks with Oliver Wise, Acting Under Secretary for Economic Affairs and Chief Data Officer at the US Department of Commerce. Drawing on his time in New Orleans City Hall and with the federal government, Wise shares practical insights on using data to drive results — and how cities can harness the power of generative AI without waiting for perfection. From "use case truffle pigs" to building AI-ready data systems, this episode explores how public leaders can unlock smarter governance through better data practices.Music credit: Summer-Man by KetsaAbout Data-Smart City SolutionsData-Smart City Solutions, housed at the Bloomberg Center for Cities at Harvard University, is working to catalyze the adoption of data projects on the local government level by serving as a central resource for cities interested in this emerging field. We highlight best practices, top innovators, and promising case studies while also connecting leading industry, academic, and government officials. Our research focus is the intersection of government and data, ranging from open data and predictive analytics to civic engagement technology. We seek to promote the combination of integrated, cross-agency data with community data to better discover and preemptively address civic problems. To learn more visit us online and join us on Twitter, Bluesky, Facebook, or LinkedIn.

In Episode 24, of Season 5 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Angela Pearce, Chief Data Officer at Pension Insurance Corporation Plc, where they discuss how a varied career background and business focused approach allowed her to deliver multi-million pound benefits, which includes;Why working in hospitality early in her life shaped her approach. Coming from an unconventional background.Moving out of Data & Analytics to broaden her skillset.Being the first CDO in an entrepreneurial organisation.The differences of working in large versus smaller organisations. The importance of selling what your team can do for stakeholders. Differences in managing expectations and stakeholders in different environments. Why you need more buy-in, in smaller organisations. Being the top data person in an organisation three times and whether having the title matters.Knowing when you're ready for a CDO role. Why sales skills are absolutely essential for success as a CDO. Why commercial understanding of business processes is imperative.Building strategy and foundations in a greenfield environment. Why tackling people and culture should be your first port of call. Why imagination and creativity is a super power for data teams. Balancing short-term value added wins with long term strategy. Why you have to promote the small stuff. The signals that you're reaching a point of data maturity.Navigating resistance challenges to a data strategy. Why a good data strategy will be controversial. Planting seeds that you grow into addressing difficult conversations. Why the ‘lack of value' narrative is still so prevalent. Having a business focused approach to realise benefits. Why the CDO shouldn't be measuring and articulating value. Why business readiness is key to substantiating value. Building a data culture that aligns to an organisational culture. Why data literacy should be about removing obstacles for people to do what you need them to do. Why you need 99% carrot and 1% stick. Being a female CDO from outside of London. 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.

We're all drowning in data! But data is the core feature of so much decision-making now, especially when combined with AI. But are you using your data - REALLY using it - to inform your decisions? Like it or not, leaders need to be data-literate now, and know how to use data to gain insights and drive decsions.https://swiy.co/go-drowning-in-dataAre you making data-based decisions?I was speaking last week at a conference of CIOs - Chief Information Officers - from a broad range of industries and sectors all around Australia. The conference was not about their technical role - managing an organisation's data and information - but about their leadership role.But when you think about it: Aren't these two things related?Leadership requires good decision-making, and good data drive good decisions - if you do it right.The problem isn't having access to data. We all have access to more data than ever before. You might even say we're drowning in data!But data alone won't help you be a better leader - unless you can leverage that data to inform your decisions. Not to MAKE your decisions, but to inform them.Think of data-driven decisions at four levels:1. Data: Collecting, cleaning, and storing data from the world.2. Information: Combining, choosing, and communicating meaning from the data.3. Insights: Understanding what that information means in context.4. Decisions: Using those insights to inform your decisions.It's one thing to collect data – and that's a good thing, especially with AI, which gorges itself on data. But it's another level altogether when you use that data to drive and inform better decisions.This is for you, whatever your role in the organisation. You don't have to be a CIO, a CTO, Chief AI Officer, or Chief Data Officer. We need to use data to help make better decisions.For more, download my worksheet here about data-driven decisions, and use it for yourself and your team.Download the worksheet:https://swiy.co/go-drowning-in-data Hosted on Acast. See acast.com/privacy for more information.

Prepare to see banking in a new light! Cindi Howson and Macquarie Bank's data trailblazer, Ashwin Sinha (Chief Data Officer), go deep into the AI revolution transforming financial services. Discover how one of Australia's most dynamic financial institutions, Macquarie Bank, is wielding the disruptive force of generative AI, not just for efficiency, but to combat high-stakes threats like fraud. Plus, discover the remarkable evolution of the data analyst from report-generator to AI-powered strategic powerhouse!Key Moments: Drivers of Digital Transformation (04:36): Ashwin outlines the key factors driving a digital transformation and early cloud adoption, emphasizing customer obsession, improving turnaround times, and ensuring technology reliability.  Leveraging Dual Cloud Providers (12:25): Ashwin discusses Macquarie Bank's use of AWS for infrastructure and core applications and Google Cloud (GCP) for its digital and data stack, including AI capabilities.  The Power of Gen AI in Analytics (14:16): Ashwin explores the role of generative AI in enhancing productivity for data analysts, particularly through prompt engineering and tools like ThoughtSpot.  Empowering Analysts Through Evolution (16:56): Ashwin details Macquarie Bank's successful strategy for evolving the data analyst role by proactively introducing self-service analytics, emphasizing upskilling, and enabling analysts to concentrate on higher-impact activitiesCombating Data Risk and Fraud Prevention (26:04): Ashwin discusses the increasing threat of scams and fraud and details Macquarie's two-pronged approach: educating customers and employing AI and machine learning to detect and prevent fraudulent activities.  Importance of Prompt Engineering (32:57): Ashwin stresses the significance of prompt engineering as a general-purpose technology that can drive productivity across various business functions, not just within technical roles.  Key Quotes:"There is always a big backlog in most organizations, which you cannot get done just because you do not have enough capacity. You cannot prioritize them. You cannot execute fast enough. And so, what prompt engineering and GenAI broadly does is take away the low-value tasks that you could just use AI and machine learning to do for you." - Ashwin Sinha"Prompt engineering—even though it has 'engineering' in it— I see that as a general-purpose technology. It's a bit like we've just got access to a super powerful search with a lot more analytical and reasoning capability. That's how I think of the usage of any of the foundational or large language models for, you know, the general population who are not in engineering or technical roles. Whether they're in business roles, sales and distribution, finance, marketing, or any of those functions, the use of prompt engineering just enables the next level of productivity for them. - Ashwin SinhaMentionsPrompt Engineering in the Age of AIAI Agent GovernanceThoughtSpot Spotter: Your AI AnalystScuba Diving and the History of the Liberty Shipwreck in BaliThe Importance of Child Education in IndiaGuest Bio Ashwin Sinha is the Chief Data Officer and Executive Director at Macquarie Bank, where he oversees the strategy and execution of Data and AI. Before joining Macquarie in 2019, Ashwin was a Partner at KPMG, leading the Data business. He has also held various global software engineering, start-up, and consulting roles over the past 22 years, focusing on data and digital transformations. Outside work, Ashwin is passionate about child education and macroeconomics Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

Chief Data Officers are expanding data sharing to drive productivity, innovation, and better decisions. Data marketplaces simplify access by connecting users to ready-to-use, high-value data through a centralized, self-service platform. Published at: https://www.eckerson.com/articles/how-data-product-marketplaces-enable-seamless-data-consumption-and-generate-value

A world class expert in data management, Dr. Mark Brady has served as Chief Data Officer for the Space Force, Chief Data Officer for the Air Force Space Command, Data Architect for The Department of Justice, and Information Architect for the National Marine Fisheries Service.He also helped established electronic trade standards as U.S. delegate to the United Nations, served on the White House Data Cabinet, and the National Oceanic and Atmospheric Administration's Big Data Council.Mark is the author of, "Next Generation Data Management: Using Your Data Assets to Drive Mission Success" Listen NOW to discover, "How To Turn Data Into Mission Success "

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

After winning the prestigious New York Digital Award in 2024, Redefining AI returns with an electrifying Season Four!Join your host Lauren Hawker Zafer, on behalf of Squirro, the Enterprise Gen AI Platform, as we embark on another season of groundbreaking conversations.In this episode of Redefining AI, host Lauren Hawker Zafer sits down with Dr. Serena Huang—renowned Chief Data Officer, Fortune 100 AI consultant, and author of The Inclusion Equation. Together, they explore how data and AI are transforming Diversity, Equity & Inclusion (DEI) and employee wellbeing across industries.Dr. Huang shares groundbreaking insights on how to use AI to quantify inclusion, foster psychological safety, and drive measurable ROI in DEI initiatives. From ethical data use to mental health innovation, this conversation tackles the powerful intersection of human values and machine intelligence.

In this episode, Claudia Infante, Chief Data Officer at Margaritaville, shares how her team harnesses data to unlock new opportunities, enhance guest experiences, and drive innovation across their diverse businesses. A few more resources: If you're new to Hospitality Daily, start here. You can send me a message here with questions, comments, or guest suggestions If you want to get my summary and actionable insights from each episode delivered to your inbox each day, subscribe here for free. Follow Hospitality Daily and join the conversation on YouTube, LinkedIn, and Instagram. If you want to advertise on Hospitality Daily, here are the ways we can work together. If you found this episode interesting or helpful, send it to someone on your team so you can turn the ideas into action and benefit your business and the people you serve! Music for this show is produced by Clay Bassford of Bespoke Sound: Music Identity Design for Hospitality Brands

In this episode, Claudia Infante, Chief Data Officer at Margaritaville, shares how listening to and understanding your guests and partners can lead to better products, happier customers, and a stronger business. A few more resources: If you're new to Hospitality Daily, start here. You can send me a message here with questions, comments, or guest suggestions If you want to get my summary and actionable insights from each episode delivered to your inbox each day, subscribe here for free. Follow Hospitality Daily and join the conversation on YouTube, LinkedIn, and Instagram. If you want to advertise on Hospitality Daily, here are the ways we can work together. If you found this episode interesting or helpful, send it to someone on your team so you can turn the ideas into action and benefit your business and the people you serve! Music for this show is produced by Clay Bassford of Bespoke Sound: Music Identity Design for Hospitality Brands

In this episode, Claudia Infante, Chief Data Officer at Margaritaville, shares how an innovative loyalty program has attracted about 400,000 members and driven $160 million in revenue by focusing on delighting guests. A few more resources: If you're new to Hospitality Daily, start here. You can send me a message here with questions, comments, or guest suggestions If you want to get my summary and actionable insights from each episode delivered to your inbox each day, subscribe here for free. Follow Hospitality Daily and join the conversation on YouTube, LinkedIn, and Instagram. If you want to advertise on Hospitality Daily, here are the ways we can work together. If you found this episode interesting or helpful, send it to someone on your team so you can turn the ideas into action and benefit your business and the people you serve! Music for this show is produced by Clay Bassford of Bespoke Sound: Music Identity Design for Hospitality Brands

In this episode, Claudia Infante, Chief Data Officer at Margaritaville, shares insights on the distinction between hospitality and lodging, as well as why investing in service is a smart business move. A few more resources: If you're new to Hospitality Daily, start here. You can send me a message here with questions, comments, or guest suggestions If you want to get my summary and actionable insights from each episode delivered to your inbox each day, subscribe here for free. Follow Hospitality Daily and join the conversation on YouTube, LinkedIn, and Instagram. If you want to advertise on Hospitality Daily, here are the ways we can work together. If you found this episode interesting or helpful, send it to someone on your team so you can turn the ideas into action and benefit your business and the people you serve! Music for this show is produced by Clay Bassford of Bespoke Sound: Music Identity Design for Hospitality Brands

In this episode, Claudia Infante, Chief Data Officer at Margaritaville, shares a story about experiencing the power of hospitality at a young age. A few more resources: If you're new to Hospitality Daily, start here. You can send me a message here with questions, comments, or guest suggestions If you want to get my summary and actionable insights from each episode delivered to your inbox each day, subscribe here for free. Follow Hospitality Daily and join the conversation on YouTube, LinkedIn, and Instagram. If you want to advertise on Hospitality Daily, here are the ways we can work together. If you found this episode interesting or helpful, send it to someone on your team so you can turn the ideas into action and benefit your business and the people you serve! Music for this show is produced by Clay Bassford of Bespoke Sound: Music Identity Design for Hospitality Brands

In this episode, Claudia Infante, Chief Data Officer at Margaritaville, shares her career journey so far, the lessons learned from her mentors, and the importance of building relationships and sharing ideas. A few more resources: If you're new to Hospitality Daily, start here. You can send me a message here with questions, comments, or guest suggestions If you want to get my summary and actionable insights from each episode delivered to your inbox each day, subscribe here for free. Follow Hospitality Daily and join the conversation on YouTube, LinkedIn, and Instagram. If you want to advertise on Hospitality Daily, here are the ways we can work together. If you found this episode interesting or helpful, send it to someone on your team so you can turn the ideas into action and benefit your business and the people you serve! Music for this show is produced by Clay Bassford of Bespoke Sound: Music Identity Design for Hospitality Brands

In this episode, Ima Okonny, Chief Data Officer, Assistant Deputy Minister, Employment and Social Development Canada shares how one of Canada's largest federal departments is using data, AI, and innovation to deliver more inclusive and responsive public services. The conversation explores the importance of building a strong data foundation, developing ethical and transparent AI practices, and ensuring no citizen is left behind. Listeners will hear how ESDC is tackling demographic change, accessibility needs, and complex service delivery through in-house AI development, integrated data strategies, and a culture of trust and transparency. Whether you're in government, tech, or policy, this episode offers valuable insights into what it takes to lead digital transformation with purpose. Ima Okonny, Chief Data Officer, Assistant Deputy Minister, Employment and Social Development Canada For more great insights head to www.PublicSectorNetwork.co  

Comment l'IA générative transforme-t-elle la gestion du risque dans l'assurance ?Aurélien Couloumy, actuaire de formation et CEO de Dylogy, partage son retour d'expérience sur l'automatisation de l'analyse documentaire dans un secteur exigeant et réglementé.Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

After winning the prestigious New York Digital Award in 2024, Redefining AI returns with an electrifying Season Four!Join your host Lauren Hawker Zafer, on behalf of Squirro, the Enterprise Gen AI Platform, as we embark on another season of groundbreaking conversations.In the upcoming episode of Redefining AI, host Lauren Hawker Zafer sits down with Dr. Serena Huang—renowned Chief Data Officer, Fortune 100 AI consultant, and author of The Inclusion Equation. Together, they explore how data and AI are transforming Diversity, Equity & Inclusion (DEI) and employee wellbeing across industries.Dr. Huang shares groundbreaking insights on how to use AI to quantify inclusion, foster psychological safety, and drive measurable ROI in DEI initiatives. From ethical data use to mental health innovation, this conversation tackles the powerful intersection of human values and machine intelligence.

What if the secret to sustainable leadership isn't just innovation, but inclusion? Dr. Serena Huang, PhD economist, Chief Data Officer, AI keynote speaker, and author of The Inclusion Equation, joins Denis to reveal why the future of leadership depends on high inclusion and high well-being.From leading people analytics at giants like GE and PayPal to launching her global speaking brand, Serena shares her pivot from data scientist to purpose-driven entrepreneur. This conversation explores how AI and data, when fused with empathy and equity, can revolutionize the workplace, not just for performance, but for people.You'll hear about the power of belonging, what wellbeing means in data terms, and why curiosity, not control, is today's leadership superpower.Get To Know Dr. Serena Huang: Data Scientist Turned Leadership VisionaryFrom consulting to building people analytics teams at GE, Kraft Heinz, and PayPalWhy she left corporate for joy-driven public speaking and writingHow The Inclusion Equation became a bestselling blueprint for inclusive, data-led changeThe Critical Link Between Inclusion and Well-beingSerena's research: Teams that feel included report higher health and wellnessInclusion and well-being must be a combined, not siloed, effortOverwhelming employees with disconnected initiatives leads to burnoutAI, Data, and the Curious LeaderYou can't have AI without data, and leaders must be fluent in bothWhy curiosity, not expertise, is key to adopting AI successfullyPractical examples of wearable tech and meeting data shaping well-being strategiesHuman Skills Are Non-NegotiableThe best leaders double down on EQ, empathy, and presenceCOVID redefined leadership: from productivity to careInclusion includes rethinking how global teams handle time zones and meetingsThe Future of Work is Data-Informed and People-CenteredWhy leaders must communicate, even if their plans aren't perfect“I don't have time” is about priorities, not availabilityThe leadership of the future balances automation with authenticityKey Quotes:“If you feel more included, you feel healthier.” — Dr. Serena Huang“You will never have a fully baked plan because it will take three years. By then, we will be on ChatGPT 17.8.”— Dr. Serena HuangBook a Strategy Call with Denis https://app.leadingchangepartners.com/widget/bookings/callwithdenisgianoutsosThe 10 Proven Ways to Lead and Thrive in Today's World Executive Guide Featuring 10 Key Themes and 42 Strategic Insights from Worldwide Leaders https://crm.leadingchangepartners.com/10-ways-to-lead

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

In Episode 20, of Season 5 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Gabriel Straub, Chief Data Officer at Ocado Group, where they discuss how data, AI and automation transformed Ocado and redefined the grocery sector, which includes;Utilising 3rd party technology and the realisation that it wasn't good enough.Evolving from a grocery retailer into a global technology solutions provider.Building proprietary tech to solve challenges traditional systems couldn't handle.Becoming market leaders for great customer experience.The journey to building and selling technology solutions to retailers all over the world.Why ML solutions became a necessity to provide a distinct customer proposition.The differences between operating an in-store versus online grocery retail business.Combining internal, external and P&L factors in prioritising use cases.Competing with an established model and changing the way people shop.The impressive fulfilment operations and the multiple iterations.Calculating the ROI of product optimisations.The relationship between innovation and company culture.The three main GenAI use cases.Having 150 ML use cases to enhance forecasting, reduce waste, and improve availability.The role of simulation in testing 500 years of operations in just one year.Why embedding data teams in product and engineering drives better outcomes.The importance of culture and long-term thinking in driving innovation.Leveraging GenAI to enhance workforce productivity and knowledge access.The potential for agent-based systems to transform internal operations and customer interactions.The benefits for retailers to partner with Ocado and leverage their technology.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.

In Episode 19, of Season 5 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Simon Jury, Chief Data Officer at Kingfisher, where they discuss the power of instinct and why you shouldn't always ignore it, which includes;Insights from decoupling ASDA from Walmart as VP of Data.Why building the right operating model for a group structure is critical.Balancing centralised vs. decentralised delivery across group and brand levels.The nuanced realities of a “single source of truth” across brands.Aligning all data decisions with value creation from the outset.When to trust your instinct over data—and why that's okay.Why the biggest challenges in D&A are ultimately people issues.The disparity in investment between technology and people.Why the skills that make a great data practitioner don't always make a great data leader.Why most of a Data Leader's time should be spent focused on their team.Building a high-performing D&A culture in a federated model.Creating frameworks for role exploration and skill development within D&A teams.The evolving role of analysts in a more data-literate future.The investment needed to truly unlock value from D&A at scale.Why it's no longer acceptable for senior leaders to lack data fluency.Helping business leaders articulate what they really want from AI.Why living overseas sharpened the guest's ability to translate data insights.Combining the science of data with the art of experience for better outcomes.Why being financially savvy is a key skill for any Data Leader.Why the most successful data products are popular first, and smart second.The potential of conversational interfaces to reshape how we interact with data.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.

Financial crisis, crypto's fate, the danger of synthetic data, and governmental regulations - What is the future of AI and economy? - Listen to an AI expert, Chief Data Officer for a fintech, State & Federal governments, writer of cyber security law, former NASA senior engineer, who has been on the cutting edge and the front seat of all the above, and more... This ENTIRE interview has three parts: - 1st part consists of Tammy Roust's career journey from NASA to Fin Tech and her hands-on experience with AI almost 20 years ago, then the important roles she played at the state and federal  Government level, and at a startup; - 2nd part is about fintech, crypto, AI, data, governmental regulations thereof, and the future economy, - 3rd part is about her personal story and goals. Read it as a 20-min blog (coming soon) Watch it as a 1-hour video Some of the insights will be quoted as a part of the upcoming book by Joanne Z. Tan:“Brand Building for Leaders and Organizations”. Subscribers to the 10 Plus Brand Newsletter will get below market pricing, priority ordering, and sneak previews when the book is published. © Joanne Z. Tan   All rights reserved. - Contact us for an initial consultation meeting - To stay in the loop, subscribe to our Newsletter - Download free Ebook (About 10 Plus Brand: In addition to the “whole 10 yards” of brand building, digital marketing, and content creation for business and personal brands. To contact us: 1-888-288-4533.) - Visit our Websites: https://10plusbrand.com/ https://10plusprofile.com/ Phone: 888-288-4533 - Find us online by clicking or follow these hashtags: #10PlusBrand #10PlusPodcast #JoanneZTan #10PlusInterviews  #BrandDNA #BeYourOwnBrand #StandForSomething #SuperBowlTVCommercials #PoemsbyJoanneTan #GenuineVideo #AIXD #AI Experience Design #theSecondRenaissance #2ndRenaissance

Join us on the latest episode, hosted by Jared S. Taylor!Our Guest: Edmund Jackson, CEO at UnityAI.What you'll get out of this episode:Edmund Jackson's Journey: From Wall Street quant to Chief Data Officer at HCA Healthcare, to co-founding UnityAI.Core Issue in Healthcare: It's too hard to practice medicine today due to system complexity—AI offers a path to simplify and optimize operations.Low-Hanging AI Applications: AI scribes, radiology image analysis, and revenue cycle support are already providing value.UnityAI's Focus: Going beyond features to create a comprehensive platform for “quantitative operations” in healthcare.Future Outlook: AI will dissolve traditional tech frameworks and shift healthcare from sick-care to wellness through continuous, AI-powered health monitoring.To learn more about UnityAI:Website: https://www.unityai.co/ LinkedIn: https://www.linkedin.com/company/unityai/ Our sponsors for this episode are:Sage Growth Partners https://www.sage-growth.com/Quantum Health https://www.quantum-health.com/Show and Host's Socials:Slice of HealthcareLinkedIn: https://www.linkedin.com/company/sliceofhealthcare/Jared S TaylorLinkedIn: https://www.linkedin.com/in/jaredstaylor/WHAT IS SLICE OF HEALTHCARE?The go-to site for digital health executive/provider interviews, technology updates, and industry news. Listed to in 65+ countries.

In this episode, host Stephen Goldsmith is joined by Harvard Business School professor and former mayoral Chief of Staff Mitch Weiss, who talks with him and Boston CIO Santi Garces about the transformative power of artificial intelligence and GenAI. Using Weiss's framing of possibility government, they discuss current and future uses of AI in city government and why cities should focus on transformative problems. Music credit: Summer-Man by KetsaAbout Data-Smart City SolutionsData-Smart City Solutions, housed at the Bloomberg Center for Cities at Harvard University, is working to catalyze the adoption of data projects on the local government level by serving as a central resource for cities interested in this emerging field. We highlight best practices, top innovators, and promising case studies while also connecting leading industry, academic, and government officials. Our research focus is the intersection of government and data, ranging from open data and predictive analytics to civic engagement technology. We seek to promote the combination of integrated, cross-agency data with community data to better discover and preemptively address civic problems. To learn more visit us online and join us on Twitter, Bluesky, Facebook, or LinkedIn.

In this new episode of MediaTalks we spoke with Stefan Havik, the Chief Data Officer at DPG Media to cover a range of topics from measurement, data to simplification of the buy and how DPG Media is innovating to enable greater and simpler access to their premium inventory to buyers. 

What if AI could guide every patient through their healthcare journey—nudging them toward better choices, anticipating their needs, and adapting in real time? We talk a lot about engagement in healthcare, but too often, the digital tools we use fail to improve outcomes. AI and data-driven personalization hold incredible promise, yet many health plans and providers still struggle with low participation rates. Dr. Erich Huang, Associate Chief Clinical Officer for Informatics and Technology at Verily, an Alphabet company leading the charge in precision health, joins Eric to discuss what's next for AI in healthcare. The conversation touches on how AI is redefining patient engagement, the delicate balance between automation and human touch, and how platforms like Verily's Lightpath are pioneering a new model for chronic care management. If you're a health plan or hospital leader looking to unlock the next generation of patient engagement, you won't want to miss this conversation.  About Erich Erich leads a team focused on structuring clinical-grade data that integrates with the clinical research and healthcare data ecosystems and is optimized for precision medicine, analysis, and artificial intelligence.    Erich was previously at Duke University where he served as the Chief Data Officer for Quality at Duke Health, Director of Duke Forge, Director of Duke Crucible, and Assistant Dean for Biomedical Informatics for Duke University School of Medicine. There, he led and deployed machine learning capabilities for complex care management in Duke Health's Accountable Care Organization, led health data science initiatives, and helped develop Duke Health's new institutional governance process for algorithmic decision support.    He earned his MD and PhD from Duke University, trained and was a Chief Resident in the Duke General Surgery Residency Program. Erich is previously a Burroughs Wellcome Fund Innovations in Regulatory Science Award recipient, received a Sidney Kimmel Cancer Research Foundation Translational Scholar Award, and is twice a recipient of an IBM Faculty Award.   About Verily Verily is an Alphabet health technology company focused on research, care, and health financing to deliver on the promise of precision health and help people live healthier lives. We are uniquely positioned at the intersection of technology, data science, and healthcare to create tools to accelerate evidence generation, products to enable more personalized care, and approaches to make costs more predictable.  

Jason's co-author, Barry Green, joins this next episode as they discuss the release of the second edition of "Data Means Business" on 25th March.  Returning for his third conversation on the podcast, Barry shares updates on the evolving landscape of data and AI, the impact of generative AI, and the importance of business capabilities. They delve into the changes since the first edition, including the role of the Chief Data Officer and the significance of adaptability in today's fast-paced world. Tune in to hear their thoughts on driving transformational change and delivering value with data & AI. The second edition of Data Means Business will be out on 25th March and will be available on Amazon. ***********    Cynozure is a leading data, analytics and AI company that helps organisations to reach their data potential. It works with clients on data and AI strategy, data management, data architecture and engineering, analytics and AI, data culture and literacy, and data leadership. The company was named one of The Sunday Times' fastest-growing private companies in both 2022 and 2023 and recognised as The Best Place to Work in Data by DataIQ in 2023 and 2024. Cynozure is a certified B Corporation. 

Here is a recruitment business that doesn't rely on outbound salesKyle Winterbottom has done things a little differently to the restKyle and I sat down for this week's episode of The RAG Podcast to discuss how his business has evolved since he was last on the show in 2022.He's built a global community of 1,500+ Chief Data Officers, driving all of his revenue through inbound relationships. His brand, Driven By Data, isn't just attracting clients – it's making his business an acquisition target.In this episode, we break down:How community building generates sustainable, high-value recruitment revenue.Why brand trust and credibility are the ultimate sales drivers.The strategies behind monetising an engaged audience.How inbound business creates new challenges for scaling and delivery.If you're serious about building a recruitment business that thrives on brand, credibility, and inbound opportunities, this episode is for you.Chapters00:00 Introduction to growth in recruitment02:56 Kyle's journey and business evolution06:08 Market challenges and business adjustments09:01 Streamlining operations and team structure12:00 The importance of community in recruitment15:07 Revenue insights and business sustainability18:10 Future vision: recruitment landscape shifts21:06 Driven by data: building a community23:58 Monetising community engagement28:53 Removing bottlenecks and building community30:00 The power of quality networks in recruitment31:50 Monetising community engagement33:43 Sponsorship and revenue growth strategies35:06 Consistency as a key to success37:09 Building trust and credibility in recruitment38:11 The importance of inbound relationships40:11 The role of brand in sales42:23 Long-term strategies for community building44:55 Facilitating knowledge and connections45:33 Valuing community in business acquisitions47:28 The power of audience in monetisation50:35 Expanding community beyond borders52:44 Purpose beyond placements54:30 Balancing short-term and long-term strategies57:20 Future opportunities and business value_________________________________________Episode Sponsor: UntappedUntapped is THE market leader and go-to agency for finding and hiring tried-and-tested offshore talent into UK, US and Australian-based recruitment companies.They're providing top-class TEAMMATES, NOT OUTSOURCES! We use Untapped for Hoxo's own offshore hires, and it's been a total game-changer for our team. No one else can compete with the quality of their network, their in-depth candidate assessment process or their time to hire. If hiring elite-level overseas talent into your business to boost sales and increase productivity whilst saving yourself a huge amount in employment costs isn't on your radar for 2024, it should be!Untapped are hiring recruitment, sales, marketing and support staff into recruitment agencies of all shapes, sizes and specialisms globally and they are growing rapidly!Join the waiting list today so you don't miss out on the next cohort of business-launching hiring projects. https://bit.ly/47GGdvZ _______________________________________Episode sponsor: HoxoRecruiters: are you sitting on a goldmine of LinkedIn connections without knowing how to turn them into real opportunities?Most recruiters spend hours every day on cold outreach and endless scrolling, hoping for replies that never come. But what if LinkedIn could work for you instead?The Hoxo 7-Day LinkedIn Challenge is a simple, step-by-step framework designed to help you:Identify warm leads already in

Welcome to RIMScast. Your host is Justin Smulison, Business Content Manager at RIMS, the Risk and Insurance Management Society.   Our guest, Kristen Peed, is the Chief Risk Officer of Sequoia, and RIMS 2025 President. Kristen was recently promoted to Chief Risk Officer. She tells about that role and how it differs from her other risk roles.   Kristen speaks of a few of the risks to organizations today. She shares two stories of mentorship from her past and her efforts to provide mentorship today. Kristen shares thoughts about the evolving role of the risk manager and her pathway to the C-Suite for a seat at the table. She discusses the legislative summit, the topic of third-party-funded litigation, and the need for transparency and regulation.   Justin and Kristen discuss how every day is a brand new day for RIMS, what will be celebrated at RISKWORLD 2025, and a couple of new RIMS initiatives you can expect to learn about there. Kristen shares her gratitude to all the RIMS volunteers who make her job as 2025 president possible.   Listen for Kristen's career advancement advice and her final suggestion for growth. Key Takeaways: [:01] About RIMS and RIMScast. [:14] Public registration is open for RISKWORLD 2025! Engage Today and Embrace Tomorrow with RIMS at RISKWORLD from May 4th through May 7th in Chicago, Illinois. Register at RIMS.org/RISKWORLD and the link in this episode's show notes. [:31] About this episode of RIMScast. We will be joined by RIMS President Kristen Peed. [:48] RIMS-CRMP Workshops! The next workshop will be March 19th and 20th. Register by March 12th. As part of our continuing strategic partnership with Purima, we have a two-day course coming up on April 22nd and 23rd. [1:03] Links to these courses can be found through the Certification page of RIMS.org and this episode's show notes. [1:10] Virtual Workshops! On March 26th, Pat Saporito will host “Generative AI for Risk Management”. [1:18] On April 16th and 17th, Chris Hansen will lead “Managing Worker Compensation, Employer's Liability, and Employment Practices in the U.S.”. [1:31] A link to the full schedule of virtual workshops can be found on the RIMS.org/education and RIMS.org/education/online-learning pages. A link is also in this episode's show notes. [1:40] RISKWORLD registration is open. Engage Today and Embrace Tomorrow, May 4th through 7th in Chicago. Register at RIMS.org/RISKWORLD. Also, remember there will be lots of pre-conference workshops being held in Chicago just ahead of RISKWORLD. [1:57] These courses include “Applying and Integrating ERM,” “Captives as an Alternate Risk Financing Technique,” “Contractual Risk Transfer,” “Fundamentals of Insurance,” “Fundamentals of Risk Management,” RIMS-CRMP Exam Prep, and more! Links are in the show notes. [2:17] Our guest today is the Chief Risk Officer at Sequoia and the RIMS 2025 President, Kristen Peed. We're going to talk about her risk management career journey, what it took for her to ascend to the level of Chief Risk Officer, and what that means for her organization. [2:38] We will also talk about the power of mentorship, networking, and what's in store for us at RISKWORLD 2025 and throughout the year as we celebrate the 75th anniversary of RIMS. [2:50] Interview! RIMS 2025 President, Kristen Peed, welcome to RIMScast! [3:07] This is Kristen's eighth year on the RIMS Board. It's been an amazing journey! Most of her best friends are RIMS staff members or RIMS members, all over the globe. RIMS is a huge part of her life! Justin joined RIMS almost eight years ago. They have known each other for years. [3:33] Justin shares a memory with Kristen in Halifax. Kristen took part in an impromptu presentation, in the role of a petulant child. [4:06] Kristen wears sneakers; she has branded herself as the sneaker queen. She has stopped counting how many pairs of sneakers she has. [4:34] This year is the 75th anniversary of RIMS. There is a big RISKWORLD in May; its theme is Engage Today and Embrace Tomorrow with RIMS. [4:54] Kristen Peed was recently promoted to Chief Risk Officer of Sequoia. Sequoia has ambitious growth goals, which is one of the reasons Kristen joined it. In her new role, Kristen has oversight of all corporate risks. [5:27] These include enterprise risks, IT risks, security risks, property & casualty risks, and E&O risks. It's overarching. [5:46] Kristen sees there has been a slow transition for risk managers in general, from a transactional, procurement role to a strategic role, where they see opportunities with risk. Where they see places where they can offer value and insight. [6:07] Sequoia is a client-based company. Clients are reaching out to Kristen for help dealing with deep-fake interviews. Kristen looked to the RIMS Board of Directors and Cherise Papadopolo, RIMS VP of DEI, People, & Culture, and got some helpful HR information. [6:48] Kristen was able to provide strategic advice to a Sequoia client's Chief People Officer. It's a perfect example of how RIMS helps risk managers to be viewed as strategic. The RIMS community is part of the reason Kristen was able to take on the role of Chief Risk Officer. [7:13] The role is something Kristen has been preparing for ever since she started as a risk analyst. Every step has been more of a strategic and leadership role rather than being in the weeds doing stuff. The Chief Risk Officer helps navigate and chart the map for the “captain.” [7:55] Kristen's career advancement came both from having a plan and from being seen for her hard work. She has learned to ask for things more. She was fortunate to have some success early in her career and capitalized on it. A new boss provided amazing mentorship for Kristen. [8:41] She asked, “What's the next role for Kristen?” Kristen realized she would like to be considered for a Chief Risk Officer role. Kristen's boss understood her value and wanted to make sure she felt appreciated. Six months later, Kristen was offered the role if she wanted to take it. [9:45] Part of it is making your leadership aware that these titles exist, showing your value, and asking for it. [10:05] One of Kristen's early successes at Sequoia involved using her RIMS network to put together a presentation on using surplus funds from the captive PEO insurer to fuel additional risk management activities. Leadership was excited and Kristen implemented it right away. [11:03] Another success was the consolidation of insurance programs. Sequoia had grown quickly and had renewal dates in different places. Kristen showed her market savvy and leveraged her relationships with carriers to bring down some initial premium costs. [12:00] Kristen says that putting the C-level title on a risk officer differentiates it. When she partners with the CISO or the Chief Data Officer, they are on equal footing. The C-level carries more weight. It also helps carriers in the marketplace see her as being in company leadership. [12:42] When Kristen meets with underwriters and carriers, they have a greater sense of comfort knowing she has a seat at the table and understands the direction of the company and how to mitigate against risk before it hits insurance. [13:01] Plug Time! RIMS Webinars! On March 13th, our friends from Global Risk Consultants will return to discuss “How to Make Your Property Insurance Submission AI-Ready”. [13:15] On Wednesday, March 26th at 2:00 p.m. Eastern Time, members of the RIMS Strategic and Enterprise Risk Management Council will extend the dialog that began in the recent RIMS Executive Report “Understanding Interconnected Risks”. [13:30] On Thursday, March 27th, Descartes Underwriting will make its RIMS Webinar debut with a session about parametric insurance. On April 3rd, join Zurich for “Understanding Third-Party Litigation Funding”. [13:43] On April 10th, Audit Board will present, “What CISOs Want Risk Executives to Know About Cyber Risk in 2025”. [13:51] Following the success of their recent webinar, HUB International returns for the next installment of their Ready for Tomorrow Series, “From Defense to Prevention: Strengthening Your Liability Risk Management Approach”. That session will be on April 17th. [14:07] On April 24th, RiskConnect returns to deliver “Better Together: The Marriage of Insurable Risk and Business Continuity”. [14:40] More webinars will be announced soon and added to the RIMS.org/webinars page. Go there to register. Registration is complimentary for RIMS members. [14:26] Let's Return to Our Interview with RIMS 2025 President Kristen Peed! [14:37] As a follow-up to the RIMScast episode with Mark Prysock on RIMS's legislative priorities, Kristen talks about third-party-funded litigation. It affects risk managers, carriers, and brokers because of premium pricing. [15:06] It's necessary to have transparency around third-party-funded litigation and eliminate the ability of foreign entities to fund and profit from it. The concern is around nuclear verdicts that are detrimental to the industry as a whole. [15:39] Nuclear verdicts will impact pricing, not only for that one company but for all risk managers. These verdicts are not sustainable. We need transparency. We want Congress to act upon this. We can all get behind this. Kristen doesn't think this is a partisan issue. [15:58] Being able to partner with our carriers and brokers to have a strong message on the Hill is critical to the success and continuation of our industry. [16:08] Time and money are finite resources. There is no bottomless pit of money. [16:30] Kristen will soon be going to Capitol Hill with fellow risk practitioners for the RIMS Legislative Summit. [16:43] Kristen got involved in legislative advocacy after getting a mailer for the Legislative Summit. She attended and met the staff, including Robert Cartwright. She saw It was an amazing platform for risk managers to have their voices heard by the people they elect. [17:17] The RIMS Legislative Summit is one of Kristen's favorite annual events. It can be so impactful to the community as a whole. It will be March 19th and 20th. This is your last chance to register for it. Prepare for the trip to D.C. [17:54] March is Women's History Month. Kristen says she was lucky to have some key female leaders placed in her life at critical moments, that helped her down this path. [18:15] At CBIZ, Nancy Mallard was the GC for CBIZ's Benefits and Insurance Division. She was the first female chair of the CIAB (The Council). Kristen saw Nancy's leadership throughout the years in the industry. Kristen used her great example to figure out how to get involved at RIMS. [19:15] Kristen's new boss, Kathy Ross, is amazing. She's been a great advocate for Kristen and it has been awesome to learn from her how to elevate her leadership skills. Kristen feels blessed to have had these two impactful women in her life. [19:47] Sequoia's culture is paramount to its people. One of its service commandments is “Be of extraordinary value to others.” Sequoia's mission is “Coming through for others that put their trust in us.” Kristen takes these values to heart, whether in mentoring or calling on the phone.  [20:39] Kristen looks at how she can help create career paths for people and develop them, at Sequoia and in the risk community, as well. Kristen brings together interns and “externs” from other companies and stays in touch with them. She always asks them to pay the help forward. [21:35] Plug Time! Kristen Peed was a board member of the Spencer Educational Foundation. [21:41] The Spencer Educational Foundation's goal to help build a talent pipeline of risk management and insurance professionals is achieved in part by its collaboration with risk management and insurance educators across the U.S. and Canada. [21:59] Since 2010, Spencer has awarded over $3.3 million in general grants to support over 130 student-centered experiential learning initiatives at universities and RMI non-profits. [22:13] Spencer's 2026 application process will open on May 1st, 2025, and close on July 30th, 2025. General Grant awardees are typically notified at the end of October. Learn more about Spencer's General Grants through the Programs tab of SpencerEd.org. [22:31] Spencer has several events lined up before and during RISKWORLD 2025. On May 3rd, there's the Spencer-CNA Pickle Ball Social, on May 4th, the Spencer-Gallagher Golf Tournament, on May 5th, the Spencer Soiree, and on May 6th, the Spencer-Sedgwick 5K Fun Run. [22:51] You can register for or sponsor any of these through the links on this page or by visiting SpencerEd.org/riskworld2025. [23:00] The Conclusion of My Interview with RIMS 2025 President, Kristen Peed! [23:27] Kristen's theme for her presidency is Brand New Day. Every day is a brand new day of risks. Every day, new risks are popping up. Whether AI, advancements in cyber threats, wildfires, or climate change, everything is changing. [24:12] It's a brand new day for risk managers. We have to be more nimble and strategic. That means it's a brand new day for RIMS. It's about how RIMS is going to support us in this moment and also as we move into the future, making sure we stay relevant for the next 75 years and on. [24:41] A new track, Alternative Risk Transfer, highly focused on captives, is being presented at RISKWORLD 2025. This is something risk managers have been asking to learn more about. It's part of the strategic conversation; how do you start to offer value back to your company? [25:09] How do you more strategically look at risk from a long-term perspective? That dovetails with Enterprise Risk Management. RIMS ERM content is relevant and has evolved over time. Captives will continue to be a value-generating part of the profession. [26:06] The 75th anniversary of RIMS is special for Kristen because it shows that RIMS has come so far. This year, RIMS is launching the RIMS Foundation to create opportunities for early-career students. That's the critical time to help them stay in the profession. [26:47] The RIMS Foundation will provide them with opportunities for growth, learning, and networking. This is a graying industry. We need to attract the next generation of talent to the industry and fill the pipeline with lots of people to backfill when current risk professionals retire. [27:21] Also in 2025, RIMS has a brand new Texas regional conference from August 4th through the 6th, on the San Antonio River Walk. People are reaching out to Kristen to submit sessions. It's exciting to see all the buzz around that conference. [28:35] Kristen's concludes: “Never quit learning. In my role, I've been doing this for two-plus decades, but I learn something new every day. When I took the RIMS-CRMP, I learned even more. It's the only risk management credential accredited by ANSI. Go and get your RIMS-CRMP.” [28:56] “It is one of the best educational opportunities you will have to demonstrate your proficiency and excellence and show your senior leadership team that you have the skills to elevate and provide strategic direction to your company.” [29:18] Justin notes that later this year, you can look for a RIMS-CRMP story, featuring RIMS 2025 President Kristen Peed. [29:23] Kristen, it is such a pleasure to see you! I'm so happy that you're our president this year and I'm happy for your continued success. I look forward to being able to celebrate with you in May at RISKWORLD 2025! [29:35] Kristen says she is honored to lead RIMS this year but it wouldn't be possible without all the other volunteer risk professionals around the world, all our chapter leaders, all committee members, and all our council volunteers. [29:53] Kristen wants to thank everybody who donates their time and energy to making RIMS so relevant and future-thinking. I could not do what I do without your support. [30:10] Special thanks again to RIMS 2025 President, Kristen Peed. Be sure to catch her at RISKWORLD 2025. She will have a presence on the main stage and during many of the ceremonies. Be sure to register for RISKWORLD 2025 at RIMS.org/riskworld. [30:23] More RIMS Plugs! You can sponsor a RIMScast episode for this, our weekly show, or a dedicated episode. Links to sponsored episodes are in the show notes. [30:48] RIMScast has a global audience of risk and insurance professionals, legal professionals, students, business leaders, C-Suite executives, and more. Let's collaborate and help you reach them! Contact pd@rims.org for more information. [31:05] Become a RIMS member and get access to the tools, thought leadership, and network you need to succeed. Visit RIMS.org/membership or email membershipdept@RIMS.org for more information. [31:21] Risk Knowledge is the RIMS searchable content library that provides relevant information for today's risk professionals. Materials include RIMS executive reports, survey findings, contributed articles, industry research, benchmarking data, and more. [31:35] For the best reporting on the profession of risk management, read Risk Management Magazine at RMMagazine.com. It is written and published by the best minds in risk management. [31:48] Justin Smulison is the Business Content Manager at RIMS. You can email Justin at Content@RIMS.org. [31:54] Thank you all for your continued support and engagement on social media channels! We appreciate all your kind words. Listen every week! Stay safe!   Mentioned in this Episode: RISKWORLD 2025 — May 4‒7 | Register today! RIMS Legislative Summit — March 19‒20, 2025 Nominations for the Donald M. Stuart Award [Canada] Spencer Educational Foundation — General Grants 2026 — Application Dates Spencer's RISKWORLD Events — Register or Sponsor! RIMS-Certified Risk Management Professional (RIMS-CRMP) RISK PAC | RIMS Advocacy RIMS Risk Management magazine RIMS Leadership Corner — Featuring Kristen Peed RIMS Webinars: RIMS.org/Webinars “How to Make Your Property Insurance Submission AI-Ready” | Sponsored by Global Risk Consultants, a TÜV SÜD Company | March 13, 2025 “Understanding Interconnected Risks” | Presented by RIMS and the Strategic and Enterprise Risk Management Council | March 26, 2025 “Parametric Insurance and Climate Risk: An Innovative Tool for CAT Risk Management” | Sponsored by Descartes Underwriting | March 27, 2025 “Understanding Third-Party Litigation Funding” | Sponsored by Zurich | April 3, 2025 “What CISOs Want Risk Executives to Know About Cyber Risk in 2025” | Sponsored by Auditboard | April 10, 2025 “Ready for Tomorrow? From Defense to Prevention: Strengthening Your Liability Risk Management Approach” | Sponsored by Hub International | April 17, 2025 “Better Together: The Marriage of Insurable Risk and Business Continuity” | Sponsored by Riskonnect | April 24, 2025   Upcoming RIMS-CRMP Prep Virtual Workshops: RIMS-CRMP | March 19‒20 | Register by March 12 RIMS-CRMP Exam Prep with PARIMA | April 22‒23 Full RIMS-CRMP Prep Course Schedule   Upcoming Virtual Workshops: “Generative AI for Risk Management” | March 26 | Instructor: Pat Saporito “Managing Worker Compensation, Employer's Liability and Employment Practices in the U.S.” | April 16‒17 | Instructor: Chris Hansen See the full calendar of RIMS Virtual Workshops RIMS-CRMP Prep Workshops   Related RIMScast Episodes: “Kicking off 2025 with RIMS CEO Gary LaBranche” “RIMS Legislative Priorities in 2025 with Mark Prysock” “(Re)Humanizing Leadership in Risk Management with Holly Ransom” (RISKWORLD Keynote) “Risk and Relatability with Rachel DeAlto, RISKWORLD Keynote” “Risk and Leadership Patterns with Super Bowl Champion Ryan Harris” (RISKWORLD Keynote)   Sponsored RIMScast Episodes: “Simplifying the Challenges of OSHA Recordkeeping” | Sponsored by Medcor “Risk Management in a Changing World: A Deep Dive into AXA's 2024 Future Risks Report” | Sponsored by AXA XL “How Insurance Builds Resilience Against An Active Assailant Attack” | Sponsored by Merrill Herzog “Third-Party and Cyber Risk Management Tips” | Sponsored by Alliant “RMIS Innovation with Archer” | Sponsored by Archer “Navigating Commercial Property Risks with Captives” | Sponsored by Zurich “Breaking Down Silos: AXA XL's New Approach to Casualty Insurance” | Sponsored by AXA XL “Weathering Today's Property Claims Management Challenges” | Sponsored by AXA XL “Storm Prep 2024: The Growing Impact of Convective Storms and Hail” | Sponsored by Global Risk Consultants, a TÜV SÜD Company “Partnering Against Cyberrisk” | Sponsored by AXA XL “Harnessing the Power of Data and Analytics for Effective Risk Management” | Sponsored by Marsh “Accident Prevention — The Winning Formula For Construction and Insurance” | Sponsored by Otoos “Platinum Protection: Underwriting and Risk Engineering's Role in Protecting Commercial Properties” | Sponsored by AXA XL “Elevating RMIS — The Archer Way” | Sponsored by Archer   RIMS Publications, Content, and Links: RIMS Membership — Whether you are a new member or need to transition, be a part of the global risk management community! RIMS Virtual Workshops On-Demand Webinars RIMS-Certified Risk Management Professional (RIMS-CRMP) RISK PAC | RIMS Advocacy RIMS Strategic & Enterprise Risk Center RIMS-CRMP Stories — Featuring RIMS Vice President Manny Padilla!   RIMS Events, Education, and Services: RIMS Risk Maturity Model®   Sponsor RIMScast: Contact sales@rims.org or pd@rims.org for more information.   Want to Learn More? Keep up with the podcast on RIMS.org, and listen on Spotify and Apple Podcasts.   Have a question or suggestion? Email: Content@rims.org.   Join the Conversation! Follow @RIMSorg on Facebook, Twitter, and LinkedIn.   About our guest: Kristen Peed, Chief Risk Officer at Sequoia and the RIMS 2025 President   Production and engineering provided by Podfly.  

When the Federal Chief Data Officer position was instituted, understanding data location and security was considered an accomplishment. Today, they are charged with transitioning to become one of the strategic leaders of a federal agency. Our guests give guidelines on how to make that change. Arjuna Rivera begins the discussion by discussing how to handle data that can help one make actionable insights. He gives listeners a list of seven considerations for obtaining data that can assist in decision-making: You must start with clean, unbiased data. Part of this will include capacity management and data mining. From there, visualization is essential. Predictive modeling can be combined with graphs and patterns. Jaishen You gives listeners ways to use those tools to work with others in the federal government. To foster a data-driven culture, Jaishen You recommends that Chief Data Officers work closely with Chief AI Officers in other agencies. He details the Business of Data Working Group. It is out-growth of the Federal CDO that provides interaction with other agency data specialists to share challenges and solutions.

This week on Revenue Rehab, our host Brandi Starr is joined by Emmanuel Billy Gillis-Harry, Founder and Chief Data Officer of Terra Bullion.  Meet Emmanuel, a dynamic leader with over six years of expertise in analytics, data science, and AI. With a proven track record in transforming businesses into data-driven powerhouses, Emmanuel leads Terra Bullion, a consultancy delivering innovative analytics solutions to online retail businesses and beyond. Beyond consulting, he shines as a thought leader in AI and analytics, recognized for his marketing and strategic insights.   In this episode, Brandi and Emmanuel dive into modernizing data infrastructure. They explore best practices and highlight the pressing need for clean, scalable, and efficient data structures, particularly in today's big data era. Discover Emmanuel's expert strategies for overcoming common pitfalls, achieving business alignment, and leveraging AI to unlock the full potential of data for decision-making.   Bullet Points of Key Topics + Chapter Markers:  Topic #1 Misuse of AI and Data Driven Buzzwords [00:01:37] "Well, I mean, I guess I won't really say get rid of, but I would bring it into, into the light of getting misused. And that's pretty much AI slash data driven in terms of organization use." Emmanuel highlights a growing concern about how terms like AI and data-driven are often misused within organizations, emphasizing the need for accurate application to align expectations and results properly.  Topic #2 Modernizing Data Infrastructure [00:03:50] Emmanuel stresses the foundation of AI's success is rooted in data quality: "Crappy data in, crappy results out. So the better data in, the better results are." He discusses what modern data infrastructure should embody—scalability, efficiency, and business alignment—urging organizations to assess and modernize their data handling practices effectively to achieve meaningful business outcomes.  Topic #3 Strategy and Business Alignment [00:21:22] "It definitely comes first because at the end of the day it's going to cost you money," Emmanuel asserts regarding the importance of starting with a clear business use case. He discusses the necessity of aligning data projects with business objectives to avoid over-engineering and unproductive spending, highlighting the critical role of strategic planning before diving into technical implementations.  What's One Thing You Can Do Today  Emmanuel's 'One Thing' for listeners is to conduct a self-audit of your data infrastructure and engage with an expert to understand your current data landscape. "Audit your current data stack, understand what it looks like, where you lack, and speak to an expert to help you even understand that beyond just what you could see. Identify a lot of inefficiencies, and align where your gap is. This self-awareness should be the homework; it sets up a strategy for data modernization and helps you explore how your data can truly drive decision-making and generate impact."  Buzzword Banishment  Buzzword Banishment: Emmanuel's Buzzword to Banish is actually a combination of "AI" and "data driven." He explains that it's not about getting rid of these terms entirely, but addressing their misuse. Emmanuel points out that organizations often misuse these terms, which can lead to misunderstandings or improper expectations. He emphasizes the importance of using these terms correctly to make a real difference in transforming businesses into data-driven organizations.  Links:  LinkedIn: https://www.linkedin.com/in/emmanuel-b-67282aa6/  Podcast: https://terabullionnexus.com/   Subscribe, listen, and rate/review Revenue Rehab Podcast on Apple Podcasts, Spotify, Google Podcasts , Amazon Music, or iHeart Radio and find more episodes on our website RevenueRehab.live    

In this episode, host Stephen Goldsmith is joined by MIT Professor Sarah Williams and Boston CIO Santi Garces to explore the ways that generative AI is transforming how cities - and residents - use data. Williams shares insights from her work at the Civic Data Design Lab, discussing how GenAI can help make sense of vast amounts of qualitative data, from city council minutes to community feedback. Garces reflects on the opportunities and challenges of integrating AI into municipal decision-making and civic engagement. Together, they highlight the potential for community-driven, small language models that empower residents and make city services more transparent and effective.Music credit: Summer-Man by KetsaAbout Data-Smart City SolutionsData-Smart City Solutions, housed at the Bloomberg Center for Cities at Harvard University, is working to catalyze the adoption of data projects on the local government level by serving as a central resource for cities interested in this emerging field. We highlight best practices, top innovators, and promising case studies while also connecting leading industry, academic, and government officials. Our research focus is the intersection of government and data, ranging from open data and predictive analytics to civic engagement technology. We seek to promote the combination of integrated, cross-agency data with community data to better discover and preemptively address civic problems. To learn more visit us online and join us on Twitter, Bluesky, Facebook, or LinkedIn.

In this episode of the World of Higher Education podcast, host Alex Usher is joined by Duncan Ross, former Chief Data Officer of Times Higher Education Rankings. Duncan shares his journey from the tech sector to leading university rankings at THE in 2015. He discusses the initial challenges of unifying ranking data, expanding the geographic diversity of rankings, and dealing with methodological and ethical issues in university evaluations. Duncan also introduced the Times Impact Rankings, which assess universities based on the UN Sustainable Development Goals, and highlights how these rankings offer a new perspective on university excellence. 

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

There's a growing movement to apply the best practices of technology to the U.S. government. Whether it's Elon Musk and DOGE (the so-called Department of Government Efficiency) or the myriad of chief technology and data officers across all levels of government, the hope is that technology can enhance productivity and minimize errors, offering a better experience with government for all Americans. Few people have the wealth of experience on this front than our guest today, Christine Keung. She has a tech industry background from Dropbox and her current role as a partner at J2 Ventures, but also a lengthy tenure across party lines, from working in China with Ambassador Max Baucus, to becoming the Chief Data Officer of San Jose, California, to helping launch the Paycheck Protection Program at the Small Business Administration. Alongside host Danny Crichton and Riskgaming Director of Programming Laurence Pevsner, we talk about her recent experience playing Powering Up — our Riskgaming scenario on the Chinese electric vehicle market — her experiences in government and the challenges of modernization, and then finally, we turn to DeepSeek and the U.S.-China competition that has splashed across the front pages the past week. Produced by ⁠⁠⁠Chris Gates⁠⁠⁠ Music by ⁠⁠⁠George Ko

In this episode, host Professor Stephen Goldsmith is joined by Amanda Ford from the Mayor's Office of Innovation in San Francisco City to discuss how her team is successfully breaking down data silos to improve services for the city's most vulnerable residents. Amanda provides insights into the Office's innovative approach, which includes leveraging integrated data systems, fostering trust and collaboration across agencies, and a willingness to take risks. She also shares how this work has successfully helped the "high utilizer" population.Music credit: Summer-Man by KetsaAbout Data-Smart City SolutionsData-Smart City Solutions, housed at the Bloomberg Center for Cities at Harvard University, is working to catalyze the adoption of data projects on the local government level by serving as a central resource for cities interested in this emerging field. We highlight best practices, top innovators, and promising case studies while also connecting leading industry, academic, and government officials. Our research focus is the intersection of government and data, ranging from open data and predictive analytics to civic engagement technology. We seek to promote the combination of integrated, cross-agency data with community data to better discover and preemptively address civic problems. To learn more visit us online and join us on Twitter, Bluesky, Facebook, or LinkedIn.

In this episode, our guests discuss the potential of large-scale health datasets to transform research and improve patient outcomes and healthcare systems. Our guests also delve into the ethical, logistical, and technical challenges that come with these programmes. We hear how organisations such as UK Biobank, Our Future Health, and All of Us are collecting rich, diverse datasets, collaborating and actively working to ensure that these resources are accessible to researchers worldwide. Hosting this episode is Dr Natalie Banner, Director of Ethics at Genomics England. She is joined by Dr Raghib Ali, Chief Medical Officer and Chief Investigator at Our Future Health, Professor Naomi Allen, Professor of Epidemiology at the Nuffield Department of Population Health, University of Oxford, and Chief Scientist for UK Biobank, and Dr Andrea Ramírez, Chief Data Officer at the All of Us Research Program in the United States. "There are areas where academia and the NHS are very strong, and areas where industry is very strong, and by working together as we saw very good examples during the pandemic with the vaccine and diagnostic tests etc, that collaboration between the NHS and academia industry leads to much more rapid and wider benefits for our patients and hopefully in the future for the population as a whole in terms of early detection and prevention of disease." You can download the transcript or read it below.  Natalie: Welcome to Behind the Genes   Naomi: So, we talked to each other quite regularly. We have tried to learn from each other about the efficiencies of what to do and what not to do in how to run these large-scale studies efficiently. When you are trying to recruit and engage hundreds of thousands of participants, you need to do things very cost effectively. How to send out web-based questionnaires to individuals, how to collect biological samples, how the make the data easily accessible to researchers so they know exactly what data they are using.   All of that we are learning from each other. You know, it is a work in progress all the time. In particular you know, how can we standardise our data so that researchers who are using all of us can then try and replicate their findings in a different population in the UK by using UK Biobank or Our Future Health.    Natalie: My name is Natalie Banner, and I am Director of Ethics at Genomics England. On today's episode we will be discussing how we can unlock the potential of large health datasets. By that I mean bringing together data on a massive scale, including for example genomic, clinical, biometric, imaging, and other health information from hundreds and thousands of participants, and making it available in a secure way for a wide range of research purposes over a long time period.   Through collaboration and industry partnerships, these programmes have the potential to transform research and deliver real world benefits for patients and health systems. But they also come with challenges ranging from issues in equity and ethics through to logistics, funding, and considerable technical complexities. If you enjoy today's episode, we would love your support. Please like, share, and rate us on wherever you listen to your podcasts.     I'm delighted to be joined today by 3 fantastic experts to explore this topic. Dr Raghib Ali, Chief Medical Officer and Chief Investigator at Our Future Health. Professor Naomi Allen, Professor of Epidemiology at the Nuffield Department of Population Health, University of Oxford, and Chief Scientist for UK Biobank, and Dr Andrea Ramírez, Chief Data Officer at the All of Us Research Program in the United States.   Andrea, if I could start with you. It would be really great to hear about All of Us, an incredibly ambitious programme in the US, and maybe some of the successes it has achieved so far.   Andrea: Absolutely. Wonderful to be here with you and thank for you for the invitation. The All of Us Research Program started in 2016 from the Precision Medicine Initiative and was funded with the goal of recruiting 1 million or more participants into a health database. That includes information not only from things like biospecimens including their whole genome sequence, but also surveys that participants provide, and importantly linking electronic health record information and other public data that is available, to create a large database that researchers that access and use to study precision health.   We have recruited over 830,000 participants to date and are currently sharing available data on over 600,000. So, we're excited to be with your audience, and I hope we can learn more and contribute to educating people listening about precision medicine.   Natalie: Thank you, Andrea. And not that this is competitive at all, but Raghib, as we are recording this, I understand the Our Future Health programme is marking quite a phenomenal milestone of 1 million participants. Would you mind telling us a little bit about the programme and something that you see as the benefits of working at scale for health research.   Raghib: Thank you very much. So, Our Future Health is a relatively new project. It was launched in 2020 with the aim of understanding better ways to detect disease as early as possible, predict disease, and intervene early to prevent common chronic diseases. Similar to All of Us, we are creating a very large database of participants who contribute their questionnaire data, physical data, genetic data, and linkage to healthcare records, with the aim as I said, to really improve our understanding of how best to prevent common chronic diseases.   So, we launched recruitment in October 2022. Our aim is to recruit 5 million participants altogether, and in the last 2 years about 1.85 million people have now consented to join the project. But you are right, as of last week we have what we call 1 million full participants, so people that have donated a blood sample, completed the questionnaire, and consented to link to their healthcare records. In our trusted research environment, we now have data on over 1million people available for researchers to use.   Of course, we have learnt a lot from the approach of UK Biobank, which we are going to hear about shortly, but the resource is open to researchers across the world, from academia, from the NHS, from industry, so that will hopefully maximise the benefits of that data to researchers, but as I say with a particular focus on early detection, early intervention, and prevention research.   Natalie: Thank you Raghib. Great to have you with us. Naomi, Raghib mentioned that UK Biobank has been running for a long time, since 2006.  It is a real success story in terms of driving a huge range of valuable research efforts.  Could you talk to us a little bit about the study and its history and what you have learned so far about the sort of benefits and some of the challenges of being able to bring lots of different datatypes together for research purposes?   Naomi: Yeah, sure. So, UK Biobank started recruiting 0.5 million participants in 2006 to 2010 from all across the UK with a view to generating a very deep dataset. So, we have collected information on their lifestyle, a whole range of physical measures. We collected biological samples, so we have data on their genomics and other biomarkers. Crucially because they recruited 15+ years ago, we have been able to follow up their health over time to find out what happens to their health by linkage to electronic healthcare records. So, we already have 8,000 women with breast cancer in the resource, cardiovascular disease, diabetes, and so on.   But perhaps most importantly, not only does it have great data depth, and data breadth, and the longitudinal aspect, is the data is easily accessible to researchers both from academia and industry, and we already have 18,000 researchers actively using the data as we speak, and over 12,000 publications already generating scientific discoveries from the resource.      Natalie: So, we have got 3 quite different approaches. Recruiting in different ways, different scale, different depth of data collection and analysis, but all very much around this ethos of bringing lots of different datatypes together for research purposes. I wonder if you could talk a little bit about how you might be sort of working together, even though you have got slightly different approaches. Are there things that you are learning from one another, from these different data infrastructures, or how might you be looking in the future to work together to address some of the challenges that might come up from working at scale?      Naomi: So, we talk to each other quite regularly. We have tried to learn from each other about the efficiencies of what to do and what not to do in how to run these large-scale studies efficiently. When you are trying to recruit and engage hundreds of thousands of participants, you need to do things very cost effectively. How to send out web-based questionnaires to individuals, how to collect biological samples, how to make the data easily accessible to researchers so they know exactly what data they are using.   All of that we are learning from each other, and you know it is a work in progress all the time. In particular, how can we standardise our data so that researchers who say are using All of Us can then try and replicate their findings in a different population in the UK by using UK Biobank or Our Future Health. So, can we come up with common standards so that researchers can better directly compare the data that they are using? So, we are in close contact with each other.   Natalie: Fantastic, thank you. And Andrea, from your perspective obviously you are collecting data in the US. Are you finding ways of working internationally and with other infrastructures like Biobank and Our Future Health around things like data standards? It sounds like something simple, but I can imagine it is quite complex in practice.   Andrea: Absolutely, and that dialogue and understanding and learning from each other both informally in meetings and talking as well through the published literature. So, all of these datasets are actively widely used, and seeing what is coming out in publications helps us know what researchers are doing with the data. And when you see different researchers either generating hypotheses from our datasets in a different way, or testing hypotheses differently, that helps us understand where some benefit might be added to our dataset or where we really may need to grow in a different direction to meet some other research needs.   I think that every study design always struggles with that balance between knowing exactly what we want to study and therefore building very specific questions and very specific protocols, but also allowing for the knowledge that we don't really know all of the discovery we need to make and bringing in datapoints that will really generate those new hypotheses for the future.     I think for our study in particular, UK Biobank has been so remarkable in this way, helping structure All of Us to be able to contact our participants like UK Biobank and say, “Hey, we didn't really know what we were going to get, but we have put all this wonderful data together and now we need to do a deeper dive.”   So, the engagement and long-term return of those UK Biobank participants has really enriched our data, and we have learnt from UK Biobank a lot there, and hope through growing our partnerships programme that we can continue to create partnered research opportunities to strengthen that data as well. That is a new thing coming out of our group. You may have heard of it previously as ancillary studies, but we recognise the partnership that is important for those research opportunities. So, we are reporting here that we are hoping to rebrand it to reach a larger audience, and that is led by Dr. Shelley, as partnered research opportunities that will allow us to re-contact, bring our participants back, and really deepen that dataset.   Natalie: Thank you. And Raghib, I know that it is a really important part of the Our Future Health model about going back to participants, but you are in quite early stages of working out what those opportunities might look like.   Raghib: Yes, very much early stages. Just to reiterate the point for me personally, having started my research in the UK about 20 years ago, I have certainly learnt a lot personally, but we have all learnt a lot from the model that UK Biobank established in terms of collecting data and providing it to researchers, and I see these 3 studies as very much complimentary.   All of Us again have done a lot more work in terms of providing feedback to participants about their risk of disease and genetic information, and as you say Our Future Health was set up deliberately to not just be a purely observational study, but to give participants feedback about their risk of different chronic diseases as well as the opportunity to take part in not just studies to collect data, but also interventional studies to see if we can change the natural history of disease and prevent diseases in our participants.   So, that has never really been done at scale before, and that is certainly a big challenge for us to do, not just in the UK, but anywhere, including the US and working with health systems as to how best to do that. So, you know we have spent the last 2 years really trying to understand how best to recruit participants and to provide data to researchers for the next couple of years, and long beyond that we will be looking really as to how we can maximise the benefits of providing feedback to participants and taking part in interventional studies.   Naomi: I think one way in which we can all learn from each other actually, is we know how to recruit hundreds of thousands of people, the general population, into research study, and the next challenge is how do you keep engaging them, telling them what you are doing. You can't collect everything when they first join the study, or they would be with you for days. So, what UK Biobank has been doing is sending out web-based questionnaires, a couple a year, to find out extra information about health outcomes, lifestyle factors. Inviting them back to specific assessment centres.   So, we are inviting 100,000 participants back for imaging, and then again over the next few years for a second scan. So, I think the real challenge here is once you have recruited them, how to find that right cadence of engaging those participants to keep contributing their data and their biological samples to really maximise the value of the dataset for research. That is an ongoing challenge for all of us. But I have to say, the UK Biobank participants, they are an amazing group of individuals, very altruistic.   Our Future Health and All of Us, we don't give feedback, so there is nothing in it for our participants other than knowing that their data may help the future health of their children, and their grandchildren, and the rest of the world. So, that is very humbling, to know that the data that they have generated, and we have collected on them, is being used in that way.   Natalie: That's a really interesting point, Naomi, about the difference between a research study that is designed for answering a particular question. You gather specific data for a specific purpose, and when it comes to recruiting participants into that you can be very clear about what it is you are trying to do.   But of course, for all of these programmes, the whole nature of them is that you are collecting a lot of data over a long period of time, and it could be used for all sorts of different purposes. You can't say at the outset exactly what those purposes might be and what those outcomes might be. So, there is a really interesting question, and of course I would say this with my ethics hat on, a really interesting question around sort of participant trust and confidence in those programmes.   Naomi, you spoke just then about one way of retaining engagement and retaining people's interest, but I wonder Raghib and Andrea, if you have got thoughts on those sort of questions of how you can create that environment where participants can trust what you are doing with data over a long period of time, when you can't at the point at which they consent, say exactly how that data might be used? You have got a sense of the kinds of purposes, but you can't be too specific         Andrea: Sure. We know, and I have learnt from my own peers in this role, that enrolment in the study isn't the end point of engagement. All of Us's approach on engagement has been communicating with the entire community and really being there in the community, and that has been very powerful.   One effort over the last year we are proud of has been what we are dubbing participant driven enquiry, and that is where we say, “Thank you participants. We have gotten a ton of data out there for use, and funded researchers to use it all the time, but what do you, the participants, really want?” We were able to then take papers that researchers write and help tell participants and explain it in lay language, so the participants can say, “Hey, I have a question. Could you answer that for me?” Maybe we can, maybe we can't, but it has been very interesting to hear what participants want to know, and that participant driven enquiry project has turned out to be a big opportunity there.    The question they came to was not easy. Certainly, we didn't expect an easy question, but they came to us asking, “Why is my diabetes worse than someone else's? Is it the environment? Is it my genome? Is it my access to care? Why can't my diabetes be as well controlled as someone else's?”  So, that has been huge, to interact directly with our participants and help really close the loop by answering questions in the language of research and show them how their data is contributing back.    Natalie: Thank you. And Raghib, how are you sort of grappling with these questions, particularly because you are recruiting so very heavily at the moment?   Raghib: So, as you say it is a challenge, and people do join the programme primarily based on trust that we will use their data for public health benefit and for the benefit of the whole population, but they also join on the basis that they will get back information about their own health and their risk of disease. To do both of those is not straightforward. I mean, the first of those, it has been well established by UK Biobank, and about 80% of our participants also say they are doing it primarily for to altruistic reasons, which is great. But 80% also said they would like to receive feedback about their own health, which is also understandable, and so we need to find ways to provide that in a timely way, but also in a way that the health service can manage. That is going to be one of our key challenges going forward.    But to echo what Naomi and Andrea have said, I mean to maintain participant's engagement with the programme is not easy. We need to make sure that they are receiving information regularly, are kept up to date with what we are doing with their data, with the work that we are doing with academia, with the NHS, with industry etc. It is easier now than it was before because Our Future Health has been set up as a digital cohort, so we have means of communicating much more easily with our participants. But yeah, as you say we are at early stages. Over time that does get harder, to maintain that engagement. So, we know in the next one to 2 years we need to step up our work on feedback and recontact.   Natalie: Fantastic. I really love the idea of like the participant-led enquiry. That is something that I think our participant panel at Genomics England would really like to hear more about.   So, speaking about sort of ongoing engagement with participants, one of the challenges we know around recruiting into large-scale studies like this is that many research datasets don't have equal representation from all communities. That might have an impact on the quality, the representativeness of the scientific outputs that you can generate, and potentially the benefits back to patients and participants.   How are you addressing this challenge in recruitment where you may have some communities that are not as engaged with scientific research. You may have elements of distrust or people being marginalised, having difficulty accessing research and these sorts of opportunities. Do you have any examples of what has worked really well? Raghib, if I could come to you first.   Raghib: Sure. So, I mentioned I worked on UK Biobank about 20 years ago. One of the things I was looking at then was how we could maximise participation, particularly of people from ethnic minorities into the project. Because of the age group that was chosen by UK Biobank for very good reasons, age 40 to 69, the proportion of people from ethnic minorities was relatively small. So, although it was representative for that age group, I think it was about 6%, or 34,000 out of the 500,000, that were from non-white ethnic minorities.   So, when Our Future Health was set up, we knew that the population has changed anyway. You know, the UK has become a much more ethnically diverse society. But also, because it is a cohort from 18+ and I think minorities tend to be younger on average than the white population, we knew we had an opportunity to really have a big step change in the number of people that could take part in a study like this. So, our aim is actually to get 10% of the whole cohort from ethnic minorities, so 500,000 out of the 5 million from ethnic minorities. Actually, so far we are pretty much on track. So, of the 1.8 million that have consented, about 180,000 are from non-white ethnic minorities.   That is extremely important, particularly for genetic research where non-European populations are very much underrepresented in nearly all genetic databases. Secondly, from a UK context, although it applies of course in all countries, is that people from more deprived backgrounds are also less likely to take part in this type of research. So again, we have made a very deliberate attempt to try and ensure we have adequate numbers from the most deprived quintile. Again, about 10% of the cohort so far, nearly 200,000 are from that most deprived quintile who both are underrepresented in research, but also have the worst outcomes. So, this is really our first study that has been big enough in the UK to look at that group properly and understand some of the factors at an individual level that we haven't been able to in the past.   Finally, geographically, so the first time again because it is a digital cohort, we were able to recruit people from all over the UK. So, every single part of the UK is now represented in Our Future Health, particularly coastal communities and rural areas that haven't been able to take part in this type of study before, as well as Northern Ireland. You know, for the first time we have got that full geographical coverage.   Natalie: Fantastic. I suppose a lot of that recruitment approach has very much been about going to where people are, rather than expecting them to come to you. Is that right?     Raghib: That is right and thank you for reminding me. So yeah, we have had a different approach. So, we have opened up many, many more clinics than previous studies through a combination of mobile units, shopping centres, community pharmacy. Community pharmacy in particular has been very important. So, to date we have had about 400 different venues that we have been able to recruit. That is over 1 million people that have given blood samples, and that has really enabled people from every part of the country to take part. Secondly, we have kept clinics open in areas of greater deprivation and ethnic diversity much longer than in other areas, to maximise the opportunity for them to join. Thirdly, we do provide reimbursement for people with expenses to ensure they aren't excluded because of financial reasons, and again that has helped.    Natalie: So, really making those efforts is evidently paying off. Andrea, have you had similar experiences as All of Us? What has your approach been to try and ensure that you are getting a wider representation from different communities?    Andrea: It has really been a focus on the programme from the start to engage those who have not been included in research in the past and make sure the opportunity is there to participate. Our Engagement Division, led by Dr. Corrine Watson has really pioneered reaching those communities here in the US.   I think one other thing I will mention that we think about when we think about how to engage participants and reach people to return value back to those communities, is to make sure the people who are accessing the data also represent them, and we can build diversity within that researcher workforce. So, since our data was first released in 2020, we have recognised that the biomedical workforce also has a huge group of underrepresented individuals, and a lot of our researcher engagement and researcher outreach has focused on reaching those of diverse backgrounds and career paths.   To that end we have reached out and engaged historically black colleges as well as other minority serving institutions, really looking to make sure that their students and researchers can have the same access as more traditional research-based institutions in the US system.    That has been important because our system is built on cloud-based architecture and shared data that doesn't require a huge cluster on campus, and that helps remove a barrier that some of those institutions and researchers may have had. We also know they haven't been able to participate in the past, and we think that cloud architecture again can make the data much more feasible and be a huge support to diversifying the researcher workforce as we go forward. That circling back, helping them be the voices speaking to their community, helps build out that diverse participant community base as well.    Natalie: That's such an important point, because it is not just about the participants and the data you can collect, but also who is able to look at it? Who is actually able to undertake the research?    Naomi, can I bring you in here? I know that UK Biobank has been thinking a lot about researcher access to data and trying to ensure that the data that you hold, the really rich datasets you hold in UK Biobank, are more accessible to researchers from different backgrounds who may not have the same level of resources. Can you tell us a little bit about the work you have been doing on that?   Naomi: Yeah. So, just following on from what Andrea said, it is really important to get as diverse ideas as possible from across the global research community to really move public health forward.   So, what UK Biobank has done is we are putting mechanisms in place so that early career students, and career researchers, and researchers at all levels of their career from lower income countries, can access the data at a much lower fee. So, currently for most researchers it costs about £9,000 to access all of the data. So, that is 40 petabytes of genomic data, biomarkers, clinical outcomes, lifestyle factors and so on. So, early career researchers and those in lower income countries, it is about £500.   On top of that a group of big pharmaceutical companies have got together to create a global researcher access fund, which essentially covers this reduced fee so that all researchers no matter where they are from have exactly the same opportunity to access the data to advanced scientific discoveries. So, on top of that all our researchers now use our online secure research analysis platform. While there is no charge to access the platform, there are costs associated with compute needed to analyse and store the results.    So, AWS have donated research credits for early career researchers and those from lower income countries up to a total of about $500,000 per year, to use the research platform. So, researchers can apply to use these research credits to offset the costs of compute and storage. So, that means that we are trying to democratise access to researchers from all around the world.   I think actually our biggest challenge is not so much … we have largely dealt with you know subsidising the cost. It is actually making researchers from lower income countries aware that these resources exist, and that are applicable to them.   So, sometimes we hear from say researchers in Africa or South America, “Well, there is no point accessing UK Biobank because it is not relevant to our population.” You know, a third of our researchers are from China. So, even if UK Biobank hasn't got coverage of those racial ethnic populations, that doesn't mean that the associations that you find between risk factors and disease risk are not applicable to other different populations. And that is also why having different resources like UK Biobank, like Our Future Health, like All of Us, in different populations around the world, is so important in order to replicate those findings.    Natalie: Absolutely, and fantastic just to hear the attention that is being paid to trying to ensure that diversity of different types of researchers who will just bring different questions to the table, different perspectives on the data, different priorities, different types of questions.    So, speaking about that diversity of researchers, one really important part of his ecosystem that we haven't really touched on so far is around the role of industry. There are a lot of really important research questions being addressed by industry. Some that can only really come from, maybe it is pharmaceuticals, maybe it is tech.   From your perspectives, what kind of role can and should industry and commercial partners play in supporting the kinds of long-term research studies that you have set up, and ultimately trying to get to that point of sort of generating benefits back to patients and health systems. Naomi, can I start with you, for that sort of longer-term perspective for Biobank?   Naomi: So, industry are great partners for long-term studies like ours because they can bring additional funding, expertise, and technology. So, for UK Biobank, because it is so easily accessible to industry and academics alike on exactly the same terms, what it has meant is that industry, particularly big pharma and also now big tech, they can access the data, they see the value of the data for their own research purposes, and then they have invested into UK Biobank to do whole-exome sequencing, whole genome sequencing, proteomics at scale to increase the value of the dataset for their own drug discovery pipelines.   But of course, it means that the data that they have generated, which cost millions of dollars to generate, when you need deep pockets to do these kinds of study enhancements, then become available to all researchers. So, having access to these large-scale resources that have deep data on genomics, physical measures, other biomarkers, and clinical outcomes enables pharma to rapidly increase their drug discovery pipelines in generating new drugs and treatments for patients, and also those data are then shared with the rest of the global research community.     So, we found it to be a really exciting win/win in which industry get what they need to help move forward new drug targets and discovery, but also other researchers get what they need in order to make other scientific discoveries in different fields of research.        Natalie: Thank you. And Raghib, I know that for Our Future Health, that industry relationship is a really important part of the founding model. Will you tell us a little bit about how you are engaging and working with industry partners?   Raghib: Sure. So, as you said Our Future Health was set up in a different way, as a very public private partnership. Although the largest funder is the UK Government, more than half of our funding has come from a combination of life science companies, so pharmaceutical, diagnostic companies, as well as the medical charities, so the larger medical charities in the UK. That partnership is deliberate for all the reasons that Naomi has outlined. There are areas where academia and the NHS are very strong, and areas where industry is very strong, and by working together as we saw very good examples during the pandemic with the vaccine and diagnostic tests etc, that collaboration between the NHS and academia industry leads to much more rapid and wider benefits for our patients and hopefully in the future for the population as a whole in terms of early detection and prevention of disease. So, we have 16 life sciences companies that have joined as founding partners with Our Future Health who have contributed financially to the programme.    Equally importantly they have also contributed scientifically, so there is a huge amount of scientific expertise in industry, and they work with us with our Scientific Advisory Board with our scientists internally to think about the best use of the resource for drug discovery, diagnostics, new medical technologies, and new targets etc.    So, that is the vision, and so far, it is working well. It is a relatively new model to have set up a project like this in this way, but it has been a very collaborative approach, and we all recognise, all have similar aims, so recognise what we are working towards. You know, we meet regularly. We have a Joint Founders Board where as I say academia, NHS, industry, and the charities come together to decide on the priorities for the coming years.   Natalie: Fantastic. And Andrea, I suppose in the US it might be slightly different culturally from the UK, but the role of industry with All of Us, how are you engaging with those pharmaceutical, technology bodies, and partners as well?     Andrea: Absolutely, and maybe this goes back a bit to your first question. We at All of Us love learning from UK Biobank and have really seen them forge a lot of wonderful partnerships that have enriched and developed their dataset. We at All of Us have started with academia and working through partnership opportunities really intramurally at intramural centres that make up parts of the National Institute of Health. We believe that building on those close friends and family relationships we have both in the government and academia get us through our first step to be able to interface with commercial organisations. That really started with taking the first step this year to ensure broad availability of data that can maximise both use of the data available, as well as look forward to our partnership opportunities in the future.   So, commercial organisations as of 2024 have also been able to access the All of Us dataset that is that first step in thinking about what a partnership would be, and we are glad to build on the access that international organisations and academic organisations already have.   Natalie: A lot to look forward to here. We are going to have to wrap up in a moment, so I'd just like to leave you all with a final question before we have to end the podcast. There is huge ambition in all of the research programmes that you are leading and involved in, but what are you most excited about coming down the line in the next few years? What do you think is going to be feasible? What really gets you excited about the work that you are doing and where you see the potential benefits really landing in the next few years? Andrea, would you like to start?   Andrea: Thanks. There is a lot we are really excited about. I haven't had a chance yet to mention our paediatric cohort, and that in addition to expanding access for international research, in 2024 we were able to enrol our first paediatric participants. That really sets up the potential to observe participants across the lifespan. That is a huge advance for All of Us and we are excited about the paediatric work going forward.    Natalie: I love that, how do you come into the future with us? That is fantastic. Naomi.   Naomi: Yeah, if I had to choose one would be the possibility of being able to measure circulating proteins on all half a million participants. We have done this on about 55,000 participants, and just that subset alone is already generating fascinating insights for early biomarkers for disease through protein profiles and risk prediction of disease. I think having that on all half a million coupled with their genomics data and health outcomes, will bring a sea change in how we diagnose disease earlier. So, I think that is a really exciting avenue for us to go into over the next couple of years.   Natalie: Really enriching. That data sounds like a very exciting set of possibilities. Raghib.   Raghib: Thank you. There are so many opportunities here, but I will just maybe mention 3. So, the first, in terms of being able to combine the genetic data that we are collecting and all the other information about risk factors, and particularly the fact that we have this on a lot of young people, will enable us to identify people at high risk of diseases in the presymptomatic phase and then to be able to offer them both feedback about their risk of disease but also interventions that can change their natural incidences. That has never really been possible before. That is extremely important for all diseases for people, but also it is very important for our healthcare system.   So, those of you listening in the UK, I know the NHS is under a huge amount of pressure, and the current model of healthcare which has been in place really since the inception of the NHS, is to treat late-stage disease when people have already developed symptoms and signs. You know, it wasn't really possible to identify people earlier, but it is now, and Our Future Health will provide the evidence base to show that prevention really is better than cure, and to show that these approaches both lead to better clinical outcomes, but also are cost effective and a good use of resources. Of course, the new government is very much committed to this as well, you know moving from acute care to prevention, from hospitals to community, and from analogue to digital.     Finally, because our cohort has now become so large and does cover every part of the UK, and this wasn't something I necessarily thought about when we started Our Future Health, we are able to have unique insights into the health of the population across every age group, across every ethnic group, across every geographical area, and by deprivation, and to understand not just observationally in terms of risk factors, but also the impact of interventions on those different populations.   We can look at that, as I said at an individual level on millions of people to gain intelligence about what is going on in terms of public health, but also to see what will hopefully improve their health in the future. So, there are really, you know I have described transformational opportunities to improve health through both biomedical research and populational health insights now through the resource, and I look forward to working with colleagues across the UK and globally to deliver them.   Natalie: We will wrap up there. Thank you so much to our guests, Dr Raghib Ali, Professor Naomi Allen, and Dr Andrea Ramírez for joining me today as we discussed how collaboration, scale, ongoing engagement, can really unlock the potential of large-scale health datasets to drive brilliant new research and ultimately improve the lives of patients and the population.   If you would like to hear more like this, please subscribe to Behind the Genes on your favourite podcast app. Thank you for listening. I have been your host, Natalie Banner. This podcast was edited by Bill Griffin at Ventoux Digital and produced by Naimah Callachand.

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

Zac Townsend is the co-founder and CEO of Meanwhile, the world's first Bitcoin life insurance company. Meanwhile's mission is to democratize access to financial protection and security. Formerly, Townsend was a leader in the financial services practice of McKinsey & Company and served as the inaugural Chief Data Officer of California. Townsend was also the founder of a banking API business called Standard Treasury which was sold to Silicon Valley Bank.

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

The Office of Personnel Management is digging into its treasure trove of data about federal employees. Its goal is to create a modernized database that can better support decision-making. For more on how OPM is starting to put its data to better use, Federal News Network executive editor caught up with OPM's new chief data officer, Taka Ariga.   Learn more about your ad choices. Visit podcastchoices.com/adchoices

The Office of Personnel Management is digging into its treasure trove of data about federal employees. Its goal is to create a modernized database that can better support decision-making. For more on how OPM is starting to put its data to better use, Federal News Network executive editor caught up with OPM's new chief data officer, Taka Ariga.  Learn more about your ad choices. Visit podcastchoices.com/adchoicesSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

It's the start-of-the-new-year episode, where host Stephen Goldsmith and producer Betsy Gardner swap roles to discuss all things data, digital, governance, AI and policy-making from 2024. Listen to Pr. Goldsmith's reflections on the last twelve months and predictions on 2025, with a bonus lightening round of questions!  References include Data-Smart City Pod Episode 67, Episode 65, and Episode 62, and articles about Tacoma, Tucson, and Nashville.  Music credit: Summer-Man by KetsaAbout Data-Smart City SolutionsData-Smart City Solutions, housed at the Bloomberg Center for Cities at Harvard University, is working to catalyze the adoption of data projects on the local government level by serving as a central resource for cities interested in this emerging field. We highlight best practices, top innovators, and promising case studies while also connecting leading industry, academic, and government officials. Our research focus is the intersection of government and data, ranging from open data and predictive analytics to civic engagement technology. We seek to promote the combination of integrated, cross-agency data with community data to better discover and preemptively address civic problems. To learn more visit us online and join us on Twitter, Bluesky, Facebook, or LinkedIn.

Welcome to episode 260 of the Grow Your Law Firm podcast, hosted by Ken Hardison. In this episode, Ken sits down with Christian J. Ward, Executive Vice President and Chief Data Officer at Yext.   Christian J. Ward is focused on expanding data and AI applications in marketing and entrepreneurship. He helps Yext clients identify, value, and structure their knowledge to maximize data value in AI and search. Ward co-authored the Amazon bestseller Data Leverage: Unlocking the Surprising Growth Potential of Data Partnerships and has executed hundreds of data partnerships worldwide. Ward has served as Chief Data Officer of Arizent, Chief Data Officer of Data Axle, and Global Head of Content Innovation at Thomson Reuters. He founded and sold two structured data companies in financial and media analytics. He has been quoted in publications like The Wall Street Journal, The Financial Times, Adweek, Fortune, and Forbes and speaks frequently on data strategy, partnerships, and AI. What you'll learn about in this episode:   1. Why Data Accuracy and Structure Are Critical for Law Firm Growth Ensuring consistent, accurate data across platforms builds trust with search engines and AI systems, making your firm more discoverable. Structuring your data with schema.org enhances machine understanding and ranks your firm higher in AI-driven results. 2. How AI Is Transforming Client Search and Decision-Making AI now focuses on understanding and refining client queries, shifting from keyword-based search to conversational interactions. By answering AI-driven prompts with detailed firm information, lawyers can ensure their practice stands out in client decision funnels. 3. Why Embracing AI Tools Improves Law Firm Efficiency AI can streamline internal processes, from summarizing briefs to automating client communication and task management. Investing in AI-powered tools allows firms to respond promptly to client inquiries, enhancing client relationships and satisfaction. 4. How Shifting Focus from Ads to Knowledge Sharing Boosts Visibility Providing detailed, structured knowledge about your practice such as specialties, community involvement, and case history drives AI to recommend your firm. Relying on authentic data rather than ad spend ensures better positioning in AI-driven recommendations. 5. Why Law Firms Must Adapt to AI-Driven Client Journeys Clients are increasingly relying on AI for personalized recommendations; ensuring your data matches their needs is essential. AI transforms the traditional search process into a dialogue, emphasizing the importance of firm transparency and availability in real-time.   Resources:  https://www.linkedin.com/in/wardchristianj/ https://www.facebook.com/YextInc?utm_source=yexthomepage&utm_medium=social_icon&utm_campaign=yext_official_facebook https://x.com/yexthttps://www.linkedin.com/company/yext/   Additional Resources:  https://www.pilmma.org/aiworkshop https://www.pilmma.org/the-mastermind-effect https://www.pilmma.org/resources https://www.pilmma.org/mastermind

In this VoiceAmerica episode, we explore AI's trust issues with Christian J. Ward, Chief Data Officer of Yext. We discuss how companies like OpenAI, Claude, and Google focus on building trust through a two-panel design that provides citations for AI-generated content. This trend harkens back to SEO practices, highlighting the renewed importance of citations. Ward notes that some businesses are even reporting new leads from AI interactions. OpenAI's SearchGPT and Google's Gemini are leading this field, but we anticipate an explosion of open-source models accessing real-time data. The episode emphasizes the distinction between subjective and objective questions, with AI showing promise in handling objective queries that help with daily tasks and decision-making. Ward explains how humans alternate between subjectivity and objectivity throughout their day, stating that "subjective is what you want, objective is what you need." This exploration aims to give listeners insight into AI's capabilities and potential impact on our everyday lives.   Christian J. Ward, the Executive Vice President, and Chief Data Officer at Yext, focused on the expanding applications of data and AI in marketing and entrepreneurship. Yext helps organizations build digital experiences across channels on their  open and composable platform. The Yext Digital Experience Platform collects and organizes content to deliver AI-led experiences for any organization's customers, employees, or partners.    His focus is to help Yext clients identify, value, and structure their knowledge to maximize their data value in AI and search applications. Ward co-authored the Amazon bestseller Data Leverage: Unlocking the Surprising Growth Potential of Data Partnerships and has developed and executed hundreds of data partnerships worldwide.  Ward has served as Chief Data Officer of Arizent, Chief Data Officer of Data Axle, and Global Head of Content Innovation at Thomson Reuters, among other roles. He founded and sold two structured data companies, one in financial analytics and the other in media analytics. He has been quoted in publications like the Wall Street Journal, The Financial Times, Adweek, Fortune, and Forbes. He speaks frequently on data strategy, partnerships, and the impact of Artificial Intelligence.

In this VoiceAmerica episode, we explore AI's trust issues with Christian J. Ward, Chief Data Officer of Yext. We discuss how companies like OpenAI, Claude, and Google focus on building trust through a two-panel design that provides citations for AI-generated content. This trend harkens back to SEO practices, highlighting the renewed importance of citations. Ward notes that some businesses are even reporting new leads from AI interactions. OpenAI's SearchGPT and Google's Gemini are leading this field, but we anticipate an explosion of open-source models accessing real-time data. The episode emphasizes the distinction between subjective and objective questions, with AI showing promise in handling objective queries that help with daily tasks and decision-making. Ward explains how humans alternate between subjectivity and objectivity throughout their day, stating that subjective is what you want, objective is what you need. This exploration aims to give listeners insight into AI's capabilities and potential impact on our everyday lives.

Joe is joined by Twelve Football's Chief Data Officer, Dominic Jordan, previously of Manchester United where he was Director of Data. Tune in for a fascinating discussion about the use of data in football (see: Brighton and Brentford), a brief insight into Dominic's time at Old Trafford, advanced analytics and how Twelve are utilising AI to bring 'good data' to clubs.

On today's show, Jay Meil, the vice president for artificial intelligence and data analytics and the chief data officer at SAIC, joins Defense & Aerospace Report Editor Vago Muradian to discuss US AI capabilities in comparison to adversaries and the key to remaining ahead in a global race, abilitiesm, what constitutes AI, how it differs from machine learning, better gathering in standardized and usable form the vast amounts of data the Pentagon produces, whether the DoD should be developing its own AI capabilities of become a smarter buyer of the technology from commercial industry, how to get AI to the edge and be usable in emission denied environments, and more.

Malcolm Hawker, Chief Data Officer at Profisee and host of CDO Matters Podcast, recently sparked a heated discussion on LinkedIn about where data catalogs are heading. His view? Data catalogs today are being commoditized and we need to pivot from data management to knowledge management. Join Malcolm, Tim, and Juan as they break down this debate and explore what other data professionals had to say about this shift in thinking. Enhance your listening experience with C&C Chat at data.world/podcasts

Hey, podcast listeners! Join me as we dive into the buzz surrounding Giving Tuesday—the fundraising Super Bowl of the year!