Podcasts about Data monetization

Wed, 19 Mar 2025 06:30:00 +0000 https://tap.podigee.io/54-marin-jovanovic 68189a919872601cd41313f414e788d9 Guest: Marin Jovanovic Bio: Marin Jovanovic is an Associate Professor at the Department of Operations Management at Copenhagen Business School and a Visiting Scholar at Luleå University of Technology. He holds dual Ph.D. degrees in industrial economics and management from the KTH Royal Institute of Technology and in industrial management from the Universidad Politécnica de Madrid (cum laude). His research focuses on the digital transformation of manufacturing, maritime, and healthcare sectors, platform ecosystems in the business-to-business (B2B) context, and artificial intelligence. He has published extensively in journals such as Organization Science, Journal of Product Innovation Management, Technovation, and Industrial Marketing Management. He also serves on the editorial boards of Journal of Product Innovation Management and Journal of Business Research. Summary: In this episode, Marin Jovanovic discusses the evolution and characteristics of B2B platforms, contrasting them with B2C platforms. The conversation covers the peculiarities of B2B platforms, including data governance, network effects, transaction value, and the complexity of governance in multi-firm ecosystems. Marin also highlights the growing importance of data utilization, modular structures, and the emergence of generative ecosystems and meta-organizations in the B2B space. The discussion further explores the potential of AI in conjunction with platforms, particularly in the medical sector. Key Discussion Points: Definition of Platforms in the B2B Context: Marin shares his journey into platform research, transitioning from servitization to industrial platforms. Main Findings and Peculiarities of B2B Platforms: The discussion highlights differences in network effects, the higher value but lower volume of transactions, and the increased awareness and demands of participating companies compared to B2C platforms. Data Governance in B2B Platforms: Key challenges include the complexities of data governance, revenue sharing, and the project-specific nature of agreements. The Role of Humans in Matchmaking: The conversation explores whether highly specific B2B transactions might require more human intervention in matchmaking rather than relying solely on algorithms. Cyber-Physical Integration: The importance of merging information systems and management in the context of autonomous solutions is emphasized. Challenges in Explaining B2B Platform Models: The barriers in conveying the concepts of B2B platforms and ecosystems to managers, using the example of 5G technology, are discussed. Modularity and Generative Ecosystems: The significance of modularity in both architecture and management for fostering flexible and reconfigurable B2B ecosystems is highlighted. Open Innovation and Open Organization: The discussion connects B2B platforms to concepts of open innovation and broader organizational collaboration. Microservices and Ecosystem Envelopment: The relevance of microservices for customization and the increasing convergence of platforms into "platforms of platforms" or meta-organizations is explored. Data Monetization in B2B: The potential for companies to sell and leverage data, drawing parallels between B2B and B2C models with examples like smart cities and business analytics, is discussed. Physical Assets as Pivots for B2B Platforms: The idea that valuable physical assets owned by companies can serve as the core of B2B platforms, using the concept of "solution enabler platforms," is examined. Different types of B2B platforms based on control and decision rights, such as consortium platforms and algorithmic governance, are also introduced. Future Research Focus on AI and Platforms: Marin shares his current research interest in the application of AI in specific sectors like medical technology and how AI solutions interact with existing hospital systems and potentially aggregate on platforms. Publications & Projects Mentioned: Porter, M. E., & Heppelmann, J. E. (2014). How smart, connected products are transforming competition. Harvard Business Review, 92(11), 64–88. Jovanovic, M., Sjödin, D., & Parida, V. (2021). Co-evolution of platform architecture, platform services, and platform governance: Expanding the platform value of industrial digital platforms. Technovation, 102218. doi:10.1016/j.technovation.2020.102218. Sjödin, D., Parida, V., Jovanovic, M., & Visnjic, I. (2020). Value creation and value capture alignment in business model innovation: A process view on outcome-based business models. Journal of Product Innovation Management, 37(2), 158–183. doi:10.1111/jpim.12516. Links: Marin Jovanovic's research blog: Industry Platforms Research. full no b2b platforms,industrial platforms Daniel Trabucchi, Tommaso Buganza and Philip Meier

More often than not on this podcast, we have the privilege of listening to and learning from health, wellness, biohacking, longevity experts talk about the latest research, health hacks, books, projects, conferences, stories/anecdotes, clinical experience, etc. And there is so much to glean from those episodes and practical applications for your own wellness regimens. Today's episode with former NFL player, Landon Cohen, provides a very well-rounded conversation on health and wellness from a very unique perspective and from someone that was literally in the trenches as a pro football player.While Landon is a wildly successful entrepreneur today, which is a grind in its own right, his days as an NFL defensive lineman (and, of course, the years and year of collegiate and high school football) took a major toll on his body and, even more so, his mind and brain. This is secondary to the perpetual banging of pads and helmets every single play between the offensive and defensive lineman. Being drafted in 2008, Landon played in an era where the repercussions of concussions was not yet on the radar in football. Fast forward to early last year, Landon was recommended by a friend to try some BioBlue and red light therapy to see if it would help with his post-NFL body and mind. According to Landon, BioBlue played a major role in regaining his sharp mind and cognition/focus, while the red light therapy (combined with the BioBlue) helped reduce so lingering aches and pains. Needless to say, he is a massive advocate of both modalities. Along with discussing his experience with MB and RLT, Landon talks about the differences between his health and wellness mindset as an NFL player vs. his mindset in his post-NFL life, his desire and motivation to live a "clean lifestyle", how/why he wakes up around 3 every morning to start his day, his viewpoints on diet/food and some other fun topics, such as crypto, blockchain, AI and much, much more!If you found the information in today's episode with Landon Cohen particularly interesting and/or compelling, please share it with a family member, friend, colleague and/or anyone that you think could benefit and be illuminated by this knowledge. Sharing is caring :)As always, light up your health! - Watch this video on YouTube - Where to learn more from and about Landon Cohen:Instagram LinkedIn - Key Points [00:35] Landon's NFL Career Overview[02:54] NFL Health & Wellness Regimen During Career[06:08] Painkillers (Toradol) Experience in NFL[09:13] Transition from NFL to Post-Retirement Lifestyle[10:18] Fitness & Longevity Routine Post-NFL[11:59] Importance of Structure After Retirement[14:21] Introduction to Methylene Blue (BioBlue)[16:34] Cognitive Benefits & Concussion Recovery[18:37] Cycling BioBlue for Cognitive Health[19:41] Potential of Methylene Blue in Concussion Mitigation[21:13] Methylene Blue for Busy Entrepreneurs[22:00] Sports Council Certification & Player Safety[22:39] Methylene Blue's Cognitive & Mood-Boosting Effects[23:29] Concussions, Inflammation & Methylene Blue's Role[25:08] Landon's Red Light Therapy Routine[26:28] Portable Red Light Therapy Devices[27:44] Red Light Therapy Toothbrush Experience[28:51] Outdoor Sunlight vs. Red Light Therapy[29:52] Blue Light Blocking Glasses Adoption[31:46] Health Benefits of Blue Light Blocking Glasses[32:29] Preventative Health Mindset[34:12] Synthetic vs. Natural Health Solutions[36:55] First-Time Methylene Blue Experience & Brain Buzzing[38:48] Mitochondria Optimization & Long-Term Use[39:56] Supplements as Tools, Not Dependencies[40:27] Methylene Blue's Potential Popularity Growth[40:51] Creatine's Role in Mitochondrial Health & ATP Production[41:20] Top Mitochondrial Disruptors: Seed Oils, EMFs, & Poor Circadian Rhythm[41:56] EMF Exposure Proximity & Impact on Health[42:27] Natural vs. Non-Native EMFs Explained[43:03] Circadian Rhythm as the Foundation of Health[43:19] Cortisol, Stress, and Mitochondrial Dysfunction[43:43] Hidden Environmental Stressors & Health Optimization[44:31] Mitochondrial Boosting Tactics: Grounding, PEMF, Infrared[45:06] Prioritizing Foundational Health Habits Over Supplements[45:23] Simple Low-Cost Health Optimization Practices[46:28] Landon's Clean Eating & Avoidance of Seed Oils[47:01] Navigating Health Information Overload[47:53] Red Light Therapy Adoption in Sports Teams[48:40] Seattle Seahawks' Early Adoption of Health Tracking Systems[49:25] NFL & Collegiate Teams Exploring Red Light Therapy[50:51] Dream Vision: Gyms with Red Light Therapy Lighting[52:26] EMF Exposure Testing & Strength Loss Experiments[53:21] Unknown Health Ramifications of Rapid Technology Growth[53:35] Future Vision: Energy-Producing Treadmills[54:18] Crypto & Blockchain Synergy with Health & Fitness[54:32] MoveQuest – Earning Cryptocurrency Through Movement & Biometric Data[55:55] Foreign Countries Using Crypto for Daily Income[56:22] Compatible Devices for MoveQuest (Smartphones, Smartwatches, Oura Rings)[57:48] Data Monetization vs. Big Tech Data Exploitation[58:25] Other Crypto-Based Passive Income Opportunities[59:38] Evolution of MoveQuest & Educational Entry into Crypto[1:00:18] Gyms Leveraging Blockchain for Membership & Activity-Based Rewards[1:00:48] Double dipping with crypto and exercise[1:01:20] Future of blockchain and crypto[1:01:56] XRP and its community[1:02:43] Blue light, EMF protection, and avoiding Bluetooth[1:04:37] Clean eating and daily diet breakdown[1:05:55] Importance of wheat bread and Greek yogurt[1:07:10] Cheat meals and restaurant strategies[1:07:47] Caloric intake difference between football career vs. current lifestyle[1:08:23] Sustainable weight loss and 2700 calorie daily intake[1:10:18] Intermittent fasting and Ramadan fasting[1:11:52] Using AI for calorie tracking and meal planning[1:12:13] Thoughts on AI and its future possibilities[1:13:52] ChatGPT vs. Google as a knowledge tool[1:16:49] Importance of prompt engineering in AI[1:18:52] Popular AI tools (ChatGPT, Perplexity, Gemini, Grok)[1:19:36] Everyday practical AI uses like route optimization and gift ideas[1:21:25] Gift-giving with AI prompts[1:22:01] Longevity and ultimate health goals[1:22:37] Growing older with grace and daily motivation[1:23:15] Longevity habits: red light therapy, BioBlue, and 1% better every day[1:23:54] Prioritizing quality of life over just hitting 100+ years[1:24:29] Future of longevity with stem cells and technology[1:25:13] Gym observations: Inspired by older gym-goers[1:26:22] Achilles heel snacks and balancing dopamine hits[1:27:10] Viewing snacks through a calorie cost vs. gym effort lens[1:27:41] Greek yogurt and fruit as a healthier snack alternative[1:28:10] Nutrition as fuel vs. empty calorie junk food[1:28:25] Competitive mindset and separating from the pack with lifestyle choices[1:29:18] Building habits that make clean eating automatic[1:29:51] Rejecting excuses and embracing mental toughness[1:30:05] Simple clean foods like spinach and lemon water becoming enjoyable[1:30:40] Spinach, lemon water, and simple foods becoming enjoyable[1:31:21] Walking on the treadmill while podcasting[1:31:40] Rucking with a 25-pound dog food bag for extra resistance[1:31:59] Gary Brecka's philosophy on rucking for VO2 max and calorie burn[1:32:33] Rucking as a way to increase calorie burn during normal daily walking[1:32:52] Persistent fitness routine and consistency[1:33:09] Struggling to fit workouts into a busy schedule[1:33:44] Solution: Waking up earlier to prioritize fitness[1:34:16] 45-minute drive to the gym each way[1:34:47] Daily routine: Gym, work, late dinner, and early bedtime[1:35:34] Sleep optimization and lucid dreaming practices[1:35:52] Visualization and tactical meditation[1:36:47] Meditation as a constant state of mindfulness[1:37:52] Using meditation to find answers or recover from injuries[1:38:12] Discovering Bikram yoga during NFL career[1:38:44] Bikram yoga's intensity and mental resilience benefits[1:39:21] Building tolerance to stress through resistance training[1:39:57] Hormetic stress and its impact on mental and physical resilience[1:40:29] Bikram yoga and Jiu-Jitsu as secret weapons during NFL career[1:41:01] "Autobiography of a Yogi" book recommendation[1:42:28] Ancient wisdom vs. modern science[1:43:11] Blending ancient practices with modern technology for optimal living[1:43:52] Wrapping up the conversation[1:44:36] Landon's Instagram handle: @billionairelandon[1:45:41] Steel frame construction business and biohacking lifestyle[1:46:24] Mutual appreciation and future plans to meet in Miami - Save 20% when you purchase via The Mitochondrial Triad Bundle!For this MT Bundle, you choose:(1) RLT device +(1) BioBlue supplement +(1) BioC60 supplement=20% off the entire order!   No discount code necessary. Discount automatically applied at checkout.   To check out The Mitochondrial Triad, click here! - - Dr. Mike's #1 recommendations: Water products: Water & Wellness Grounding products: Earthing.com EMF-mitigating products: Somavedic Blue light-blocking glasses: Ra Optics - Stay up-to-date on social media: Dr. Mike Belkowski: Instagram LinkedIn   BioLight: Website Instagram YouTube Facebook

Barbara Wixom, principal research scientist at MIT's Center for Information Systems Research (CISR), draws on 30 years of research in this bonus episode of the Me, Myself, and AI podcast. She believes data monetization is the key to enterprise success with AI and breaks down why. With hosts Sam Ransbotham and Shervin Khodabandeh, Barb details case examples to highlight best practices for AI implementation and how to measure value, as well as how data governance and ethics play a critical role in successful AI projects. They also talk about what companies get wrong and the challenges and rewards of AI research. Read the episode transcript here. Guest bio: Barbara Wixom is a principal research scientist at the MIT Center for Information Systems Research (CISR). Her academic research explores how organizations generate business value from data assets. She is the author of the award-winning book, Data Is Everybody's Business: The Fundamentals of Data Monetization, which she wrote to inspire workers to engage in data monetization. Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Alanna Hooper. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

- RFK Jr Confirmed as HHS Head and Health Freedom Movement (0:00) - Challenges and Future of RFK Jr's Role (7:24) - Impact of FDA on Health and Nutrition (22:49) - Historical Context and Broader Implications (28:39) - Introduction to Dr Sherry Tenpenny and Matthew Hunt (49:36) - Debate on AI in Healthcare (1:04:40) - Conclusion and Call to Action (1:07:16) - AI Doctor Avatars and Data Privacy Concerns (1:07:30) - Impact on Healthcare and Data Monetization (1:24:06) - Free Market Competition in Healthcare AI (1:25:56) - Decentralized AI Models and Informed Choice (1:28:31) - Centralization vs. Decentralization in AI (1:33:19) - Practical Applications and Training AI Models (1:35:47) - Secret Hashtags and Prompting Techniques (1:38:03) - Educational Courses and Webinar Announcement (1:49:09) - Final Thoughts and Encouragement (1:52:15) For more updates, visit: http://www.brighteon.com/channel/hrreport NaturalNews videos would not be possible without you, as always we remain passionately dedicated to our mission of educating people all over the world on the subject of natural healing remedies and personal liberty (food freedom, medical freedom, the freedom of speech, etc.). Together, we're helping create a better world, with more honest food labeling, reduced chemical contamination, the avoidance of toxic heavy metals and vastly increased scientific transparency. ▶️ Every dollar you spend at the Health Ranger Store goes toward helping us achieve important science and content goals for humanity: https://www.healthrangerstore.com/ ▶️ Sign Up For Our Newsletter: https://www.naturalnews.com/Readerregistration.html ▶️ Brighteon: https://www.brighteon.com/channels/hrreport ▶️ Join Our Social Network: https://brighteon.social/@HealthRanger ▶️ Check In Stock Products at: https://PrepWithMike.com

Welcome to TCAST, the podcast that explores the intersection of technology, data, and humanity. In this episode, hosts Alexander McCaig and Jason Rigby dive deep into TARTLE's DataVault Connect, a groundbreaking OAuth2-based platform designed to give businesses and users unprecedented control over their data. Discover how this tool transforms data sharing into a win-win scenario for companies and consumers, emphasizing ethical practices, privacy, and revenue generation. Episode Highlights Introducing DataVault Connect What It Is: A seamless OAuth2 integration that allows users to vault and monetize their data while giving businesses a compliance-ready solution for data collection. Why It Matters: Shift away from outdated login systems like Google and Facebook, and embrace a more ethical, transparent way of handling data. Key Features of DataVault Connect Granular Consent Management: Users decide what data to share and can revoke access at any time. Revenue Sharing: Businesses earn a percentage of revenue when users monetize their data. Built-In Compliance: Fully aligned with GDPR, HIPAA, and CCPA regulations, backed by blockchain-based audit trails. Zero and First-Party Data Access: Unlock valuable insights for AI training, personalization, and customer engagement. Why DataVault Connect is a Game-Changer for Businesses Simplified Integration: A plug-and-play OAuth2 button with robust SDK support for websites and apps. Real-Time Data Insights: Gain access to user-approved data that enhances AI models and market strategies. Enhanced Privacy: Cutting-edge encryption ensures user data is secure and untouchable by third parties. Trust Building: Show customers you prioritize their data rights, fostering long-term relationships. The OAuth Revolution How It Compares: Unlike traditional login systems that profit from your users' data, TARTLE's DataVault Connect ensures your business benefits from every login while safeguarding user privacy. Revenue Model: Every time a user monetizes their data, your business gets a share of the profit. Who Should Use DataVault Connect? AI Companies: For accessing high-quality, real-time data to improve model performance. E-Commerce Platforms: Enhance personalization and customer experience. Healthcare Providers: Securely manage sensitive data with HIPAA-compliant tools. Marketers: Use ethical, actionable insights to drive campaign success. Why Listen to This Episode? This episode is perfect for anyone who: Wants to learn about ethical data exchange and monetization. Is seeking innovative ways to enhance their AI models or customer experience. Cares about compliance and wants to reduce legal risks related to data management. Is curious about how to turn user authentication into a revenue stream. Key Takeaways Ethical Data Exchange: Shift to a user-first model that benefits businesses and consumers alike. Revenue Potential: Generate profits from data monetization while maintaining compliance. Privacy at the Core: TARTLE ensures data security with cutting-edge encryption and blockchain-backed audits. Seamless Adoption: Integrate DataVault Connect easily into your current systems with minimal effort. Actionable Steps for Businesses Sign Up for TARTLE DataVault Connect: Visit TARTLE.CO to get started. Integrate the OAuth2 Button: Use TARTLE's SDK and documentation to add the button to your site or app. Engage with Your Users: Showcase your commitment to ethical data practices and invite them to participate. Monetize User Data: Earn a share of revenue as your users monetize their data.  

A strategic approach to data monetization covering key processes, risks, and organizational shifts needed for success. Published at: https://www.eckerson.com/articles/unlocking-data-monetization-success

This episode of Tartlecast emphasizes the critical importance of remembering your TARTLE pin. We explain why your pin is essential for protecting your data and accessing your earnings, and we offer tips for creating a secure and memorable pin. We also address the common issue of forgotten pins and why TARTLE cannot retrieve or reset them for users. Key Takeaways: Your TARTLE pin is the key to accessing your account and protecting your data.     TARTLE cannot access or reset your pin due to security and privacy protocols.     Choose a pin that is both secure and memorable to avoid losing access to your account.      If you forget your pin, there is currently no way to recover it. You will need to create a new account.     TCAST is a tech and data podcast co-hosted by Alexander McCaig and Jason Rigby. The podcast delves into the latest trends in Big Data, Artificial Intelligence, and Humanity, examining the evolving landscape of digital transformation and innovation.   The show features interviews with data scientists, thought leaders, and industry experts at the forefront of technological advancement for human progress. Listeners can explore a wide range of TCAST episodes on their preferred podcast platforms.   Connect with TCAST: Website: https://tartle.co/ Facebook: https://go.tartle.co/fb Instagram: https://go.tartle.co/ig Twitter: https://go.tartle.co/tweet   What's your data worth? Find out at https://tartle.co/  

We've noticed some confusion about how earnings are displayed on TARTLE.  Let's clear things up!  Our latest Tartlecast episode explains the correct way to read your wallet balance and why some data elements have a value of less than a penny. TCAST is a tech and data podcast co-hosted by Alexander McCaig and Jason Rigby. The podcast delves into the latest trends in Big Data, Artificial Intelligence, and Humanity, examining the evolving landscape of digital transformation and innovation.   The show features interviews with data scientists, thought leaders, and industry experts at the forefront of technological advancement for human progress. Listeners can explore a wide range of TCAST episodes on their preferred podcast platforms.   Connect with TCAST: Website: https://tartle.co/ Facebook: https://go.tartle.co/fb Instagram: https://go.tartle.co/ig Twitter: https://go.tartle.co/tweet   What's your data worth? Find out at https://tartle.co/

This Tartlecast episode clarifies the difference between the small rewards given for completing actions on TARTLE (like creating a wallet or publishing a data packet) and the larger earnings that come from bids placed on your data packets. We explain why TARTLE offers these small rewards and how they contribute to the overall goal of creating a universal basic income. TCAST is a tech and data podcast co-hosted by Alexander McCaig and Jason Rigby. The podcast delves into the latest trends in Big Data, Artificial Intelligence, and Humanity, examining the evolving landscape of digital transformation and innovation.   The show features interviews with data scientists, thought leaders, and industry experts at the forefront of technological advancement for human progress. Listeners can explore a wide range of TCAST episodes on their preferred podcast platforms.   Connect with TCAST: Website: https://tartle.co/ Facebook: https://go.tartle.co/fb Instagram: https://go.tartle.co/ig Twitter: https://go.tartle.co/tweet   What's your data worth? Find out at https://tartle.co/

In this episode of Tartlecast, we address a common question among TARTLE users: "What happens to my data packet after I publish it?" We clarify the process, explaining that published data packets are securely stored in the user's data vault and are not sold, moved, or transferred until a bid is placed on them. We also discuss the importance of completing data packets and building a robust data vault to attract potential buyers.     Key Takeaways: Published data packets are NOT immediately sold. They are stored in your secure data vault.     TARTLE does not have access to your data vault. Only YOU have the keys.     Once a bid is placed on your data packet, you will be notified and can choose to accept or decline the offer.     Completing more data packets increases your visibility to buyers and your earning potential.     TCAST is a tech and data podcast co-hosted by Alexander McCaig and Jason Rigby. The podcast delves into the latest trends in Big Data, Artificial Intelligence, and Humanity, examining the evolving landscape of digital transformation and innovation.   The show features interviews with data scientists, thought leaders, and industry experts at the forefront of technological advancement for human progress. Listeners can explore a wide range of TCAST episodes on their preferred podcast platforms.   Connect with TCAST: Website: https://tartle.co/ Facebook: https://go.tartle.co/fb Instagram: https://go.tartle.co/ig Twitter: https://go.tartle.co/tweet   What's your data worth? Find out at https://tartle.co/

Join us for an insightful session on how to unlock the true potential of your data. There are various tools and technologies that help enable data monetization. This talk will feature the extremely effective ThoughtSpot Embedded. We will host a thought-provoking panel discussion, designed to provide insights from seasoned professionals who are ready to share their expertise and real-world experiences.   Agenda: Our collective aim is to uncover the essential components of monetization and democratization (specifically for the financial services industry) within an analytics framework, empowering our attendees to unlock the full potential of their data resources. Throughout the session, we'll delve into critical topics such as: Customer retention enhancement The strategic shift of analytics from a cost center to a profit center The untapped potential of natural language processing How the financial services industry can specifically monetize data   About our Speakers:    Mike Lampa: Mike Lampa is a seasoned expert in digital transformation, focusing on modernizing enterprise data and analytics programs. With over 20 years of experience, Mike excels in implementing advanced technology tools and platforms. As a dedicated mentor, he guides seamless transitions and enhances analytics programs across various industries, including banking, manufacturing, telecommunications, oil and gas, retail, and consumer packaged goods. His expertise and dedication drive successful transformations, empowering organizations to thrive in the digital era.   Brian Reynolds: Brian Reynolds helps lead the Embedded Analytics Go To Market team globally at ThoughtSpot. He's passionate about the incredible potential that data holds for businesses to grow and enhance their customer relationships. With years of experience working for industry leaders in data and analytics such as Tableau, Accenture, Starburst and GoodData, Brian has helped businesses of all sizes, from seed-stage startups to Wall Street banks tackle the challenge of delivering information and insights to their customers. During his tenure at Tableau, Brian played a key role in launching and growing the embedded analytics group to $250M per year business line.   Explore our Online Presence: Dive into content and information on our website: https://www.greatdataminds.com/ Stay updated on upcoming events: https://www.greatdataminds.com/events/ Discover our services at: https://hike2.com/service/data-analyt... Join us on Social Media: LinkedIn:   / great-data-minds  

We've heard your questions, and we're here to help!  Our latest Tartlecast episode tackles the common question of why some data packets don't receive bids.  Learn how to make your data more appealing to buyers and increase your earning potential on TARTLE. TCAST is a tech and data podcast co-hosted by Alexander McCaig and Jason Rigby. The podcast delves into the latest trends in Big Data, Artificial Intelligence, and Humanity, examining the evolving landscape of digital transformation and innovation.   The show features interviews with data scientists, thought leaders, and industry experts at the forefront of technological advancement for human progress. Listeners can explore a wide range of TCAST episodes on their preferred podcast platforms.   Connect with TCAST: Website: https://tartle.co/ Facebook: https://go.tartle.co/fb Instagram: https://go.tartle.co/ig Twitter: https://go.tartle.co/tweet   What's your data worth? Find out at https://tartle.co/

TARTLE's executives discuss how their Real Intelligence API serves different market segments in AI development, from startups to government agencies. The episode reveals how the API provides 50% of the total AI/ML lifecycle needs through a single integration point, offering ethical data sourcing and real-time human feedback across diverse global demographics. Key Segments Covered: Enterprise AI Departments: • S3 bucket integration capabilities • Streamlined legal compliance • Scalable data acquisition solutions • 20-30 minute integration timeline AI Startups: • Initial 1,000-5,000 data sample requirements • Cost-effective scaling options • Market differentiation through unique datasets • Real-time feedback for rapid development Government Initiatives: • Fourth, Fifth, and Sixth Amendment compliance • Auditable data trails • Representative population sampling • Direct public engagement capabilities Integration Benefits: • Flexible volume scaling • Documentation support • Quick implementation • Custom data collection options TCAST is a tech and data podcast co-hosted by Alexander McCaig and Jason Rigby. The podcast delves into the latest trends in Big Data, Artificial Intelligence, and Humanity, examining the evolving landscape of digital transformation and innovation.   The show features interviews with data scientists, thought leaders, and industry experts at the forefront of technological advancement for human progress. Listeners can explore a wide range of TCAST episodes on their preferred podcast platforms.   Connect with TCAST: Website: https://tartle.co/ Facebook: https://go.tartle.co/fb Instagram: https://go.tartle.co/ig Twitter: https://go.tartle.co/tweet   What's your data worth? Find out at https://tartle.co/

In this episode of Tartlecast, we address a common question from our global community: "Why can't I withdraw my earnings to PayPal in my country?" We discuss the challenges of international payments and the steps TARTLE is taking to provide more withdrawal options for our members worldwide. We also emphasize the importance of continuing to build your data vault on TARTLE, even while we work on expanding payment solutions. Key Takeaways: TARTLE is aware that PayPal is not available in all countries.   We are actively working to add more withdrawal options, including bank transfers, digital payment methods, and gift cards.     Your earnings are safe and secure on TARTLE, even if you cannot withdraw them immediately.     We encourage you to continue completing data packets and building your data vault, as this helps us attract more buyers for your data.     TCAST is a tech and data podcast co-hosted by Alexander McCaig and Jason Rigby. The podcast delves into the latest trends in Big Data, Artificial Intelligence, and Humanity, examining the evolving landscape of digital transformation and innovation.   The show features interviews with data scientists, thought leaders, and industry experts at the forefront of technological advancement for human progress. Listeners can explore a wide range of TCAST episodes on their preferred podcast platforms.   Connect with TCAST: Website: https://tartle.co/ Facebook: https://go.tartle.co/fb Instagram: https://go.tartle.co/ig Twitter: https://go.tartle.co/tweet   What's your data worth? Find out at https://tartle.co/

TARTLE's CEO Alexander McCaig and Chief Conscious Marketing Officer Jason Rigby discuss the limitations of pure IoT/sensor data collection (like Tesla's robot training suits) and why Real-Time Human Feedback (RTHF) is crucial for authentic AI development. The episode reveals how TARTLE's Real Intelligence API provides ethically-sourced, direct human data that includes critical qualitative insights missing from synthetic datasets. Key Points Covered: Why Tesla's robot training suits only capture 30-40% of necessary human behavior data How authenticity tracking through blockchain ensures data provenance Cost comparison: $85-120K for synthetic data vs. significant savings with direct human feedback Case study of sourcing millions of data points in India and rural Nigeria Why model training needs human intent data, not just mechanical movements How TARTLE's API enables automated trust-building and feedback loops Compliance advantages: Getting ahead of GDPR, CCPA through zero-party data Real examples of demographic targeting for global brands (energy drink case study) TCAST: A Tech and Data Podcast Hosted by: Alexander McCaig and Jason Rigby About: TCAST is a tech and data podcast exploring the most exciting trends in Big Data, Artificial Intelligence, and Humanity. Join Alexander and Jason as they fearlessly examine the latest developments in digital transformation and innovation. Each episode features insightful interviews with data scientists, thought leaders, and industry pioneers who are shaping the skills and technologies we need for human progress. Explore TCAST: Tune in on your favorite podcast platform and explore our extensive selection of episodes at your own pace. Connect with TCAST: Website: https://tartle.co/ Facebook: https://go.tartle.co/fb Instagram: https://go.tartle.co/ig Twitter: https://go.tartle.co/tweet What's your data worth? Find out at https://tartle.co/

TARTLE's Alexander McCaig and Jason Rigby discuss why AI companies are struggling with model accuracy and how real-time human feedback (RTHF) provides the solution to synthetic data limitations. Key insights include why AI models collapse at 50% synthetic data usage, the importance of demographic diversity in training sets, and how TARTLE's zero-party data approach ensures both compliance and quality across global markets. The episode explores: Why public and synthetic data lead to increasing error rates The competitive advantage of real human behavioral data How TARTLE's API enables 45-minute integration for accelerated AI development Global compliance across GDPR, CCPA, and HIPAA through zero-party data The methodology for reducing algorithmic bias through diverse demographic sampling TCAST: A Tech and Data Podcast Hosted by: Alexander McCaig and Jason Rigby About: TCAST is a tech and data podcast exploring the most exciting trends in Big Data, Artificial Intelligence, and Humanity. Join Alexander and Jason as they fearlessly examine the latest developments in digital transformation and innovation. Each episode features insightful interviews with data scientists, thought leaders, and industry pioneers who are shaping the skills and technologies we need for human progress. Explore TCAST: Tune in on your favorite podcast platform and explore our extensive selection of episodes at your own pace. Connect with TCAST: Website: https://tartle.co/ Facebook: https://go.tartle.co/fb Instagram: https://go.tartle.co/ig Twitter: https://go.tartle.co/tweet What's your data worth? Find out at https://tartle.co/

TakeawaysGroceryshop has ushered in a new era for the industry.Data monetization is a significant opportunity for grocers.Supply chain visibility is essential for managing perishables.Frontline workers require better tools and information.Innovation in grocery is increasingly being outsourced.The Grocery Navigator Report offers in-depth sector insights.Retail media is a growing revenue stream for grocery retailers.Traditional supermarkets face challenges with an aging customer base.Consolidation in the grocery market is expected to continue.Digital channels are reshaping grocery shopping experiences. Chapters00:00 Introduction to Grocery Shop Insights05:05 Exploring The Grocery Navigator Report  

In this episode, Braxton Critcher is joined by Dwayne Myers to discuss the importance of the Repair Act in the automotive industry. Dwayne highlights how advancements in automotive technology could potentially lock out independent repair shops, stressing the need for security measures that allow fair access to repair data. Braxton and Dwayne delve into the consumer implications, including the potential lack of repair options and increased costs if the Repair Act is not passed. 00:00 Car advancements: Enhanced security restricts consumer access.05:54 Manufacturers sell collected data; we want repair data.08:52 Inflation affects prices; manufacturer network access control.12:09 Public supports, but compliance and rulings vary.13:18 Seeking balance in necessary legislation oversight.17:34 Actionable systems implementation: "Couple years" to establish precedent.20:04 Your input makes a significant difference.Write your congressperson about the Repair Act! Learn more about how Shop Controller can make your shop more efficient HERE

This episode delves into the challenges faced by Fortune 100 companies in understanding consumers and how TARTLE provides a solution. Alexander McCaig and Jason Rigby discuss the limitations of traditional data collection methods, the rise of zero-party and first-party data, and the importance of ethical data practices. They highlight how TARTLE's platform enables brands to gain valuable consumer insights, build direct relationships, and expand into new markets. Key Takeaways: Challenges of Big Data: Privacy Concerns: Consumers are increasingly wary of how their data is collected and used. Data Quality: Traditional data collection methods often lead to inaccurate or incomplete data. Data Fragmentation: Data is scattered across various platforms and sources, making it difficult to create a unified view of the customer. TARTLE's Solution: Ethical Data Collection: TARTLE allows users to self-aggregate their data and share it directly with brands, ensuring transparency and control. Whole Person Profile: TARTLE enables the creation of comprehensive consumer profiles, offering deep insights into preferences, behaviors, and demographics. Direct Engagement: Brands can communicate directly with consumers through TARTLE's platform, fostering authentic relationships and gathering valuable zero-party data. Global Reach: TARTLE's presence in every country enables brands to expand into new markets and understand diverse consumer segments. Data Integration: TARTLE seamlessly integrates with existing CRM and CDP systems, streamlining data management and analysis. Actionable Insights: TARTLE provides AI-powered analysis and actionable recommendations to help brands make data-driven decisions. Call to Action: Visit https://tartle.co/consumer/ to learn more about TARTLE's consumer data solutions. Contact TARTLE to discuss how their platform can help your brand achieve its goals.

In this episode of Tartlecast, Alexander McCaig (CEO of Tartle) and Jason Rigby (Chief Conscious Marketing Officer) delve into the challenges of the healthcare industry when it comes to data collection and patient engagement. They discuss how Tartle's innovative platform offers a solution by enabling ethical data collection, empowering patients, and providing valuable insights to healthcare providers. Key Takeaways: The Problem: Healthcare providers struggle to collect comprehensive patient data, relying heavily on information from billing departments and hospital visits. This lack of data limits their ability to provide proactive and personalized care. The TARTLE Solution: Tartle acts as a bridge between patients and healthcare providers, facilitating ethical data collection and exchange. The platform allows patients to share their data willingly and get compensated for it, while healthcare providers gain access to valuable insights. Benefits for Healthcare Providers: Enhanced Patient Engagement: Tartle helps healthcare providers engage with their members more effectively, leading to better outcomes and reduced costs. Targeted Data Capture: The platform enables the collection of specific data points, such as social determinants of health, that are crucial for understanding patient needs and risks. Member Incentives: Patients are incentivized to share their data through compensation or reduced insurance premiums, creating a win-win situation. Vast Member Insights: Tartle provides a comprehensive view of patient data, going beyond traditional surveys and enabling a deeper understanding of patient stories. Zero and First-Party Data: The platform focuses on ethically sourced data directly from patients, ensuring transparency and reducing liability for healthcare providers. Enhanced Patient Profiles: Tartle helps build rich patient profiles that include not only medical information but also social needs and lifestyle data, leading to more personalized care. Educational Opportunities: The platform allows healthcare providers to educate patients and track their progress, further improving health outcomes. Reduced Risk: By collecting and analyzing comprehensive patient data, healthcare providers can identify risk factors early on and take preventive measures, reducing costs and improving patient well-being. Call to Action: Visit https://tartle.co/healthcare to learn more about the TARTLE healthcare product and how it can revolutionize your relationship with your members. Schedule a meeting with the TARTLE team to discuss your specific needs and explore how their platform can benefit your organization.

Welcome to today's episode of 'AI Lawyer Talking Tech!' We're diving into the latest groundbreaking developments in legal technology, starting with Clio's ambitious $900 million investment aimed at transforming the legal experience through AI and integrated legal payments. We'll explore how generative AI is reshaping the legal landscape, including its role in mediation in India, and delve into new regulations impacting data privacy and AI patent eligibility. Stay tuned as we unpack these exciting advancements and their implications for the future of legal practice worldwide. Clio announces US $900M investment at US $3B valuation to transform the legal experience for all23 Jul 2024Legal Technology News - Legal IT Professionals | Everything legal technologyRevolutionizing Mediation in India with Law Blocks AI23 Jul 2024Legaltech on MediumData privacy and biometric technology use22 Jul 2024Thomson Reuters InstituteLawyers and their aversion to Generative AI22 Jul 2024Legaltech on MediumNavigating AI Patent Eligibility: Insights from the USPTO's 2024 Subject Matter Eligibility Guidance Update23 Jul 2024DykemaThe USPTO issues guidance on the billion dollar question: When are AI inventions abstract?23 Jul 2024Hogan LovellsThe TDPSA: A New Sheriff in Town for Texas Data Controllers and Processors23 Jul 2024Vinson & ElkinsEuropean Commission Workshop on Competition in Generative AI: Highlights22 Jul 2024SkaddenFCC to consider new TCPA requirements for using AI-generated content in robocalls and robotexts22 Jul 2024Hogan LovellsFive Red Flags in De-identification and Data Monetization for Healthcare Companies22 Jul 2024Holland & KnightEU Artificial Intelligence Regulation Published - What You Need to Know22 Jul 2024King & SpaldingNavigating Risks in Technology Transactions Involving AI22 Jul 2024Vinson & ElkinsUSPTO Provides Insight Into Patent Eligibility in the Context of AI22 Jul 2024Mayer BrownCollect data with Law League from Conscious Solutions23 Jul 2024Legal FuturesCalifornia Forges Ahead With Social Media Rules Despite Legal Barriers23 Jul 2024RocketNewsMichael Fleischman Joins DLA Piper to Lead AI Policy and Government…23 Jul 2024Intelligent HQHow generative AI can attract the next generation of lawyers23 Jul 2024RaconteurCase Closed! Thompson Street Acquires National Arbitration & Mediation23 Jul 2024Private Equity ProfessionalOCPA, FDBR and TDPSA – What you need to know about the US's new privacy laws22 Jul 2024Analytics Platform – MatomoEconomics, law, and political economy: a revitalization22 Jul 2024World Bank[Sponsored] Trademark Watch: AI Powered TM Management by LegalTech StartUp22 Jul 2024SpicyIPOpening the Black Box of Generative AI: Explainability in Bankruptcy Cases22 Jul 2024JD SupraDancing with Rights: Analyzing Copyright for Choreographic Works in the United States22 Jul 2024Center for Art LawNew legal kiosk at Greenfield Public Library looks to bridge digital divide22 Jul 2024Recorder.comFive Key Learnings from a Law Company Innovation Head22 Jul 2024Elevate ServicesHow the U.S. Supreme Court's Decisions Impact Enterprise Communications22 Jul 2024No JitterElon Loses His Favorite Law Firm In Data Scraping Case Because They Played Both Sides22 Jul 2024Dealbreaker

This interview is part of a series of podcast episodes recorded live on-site at Benzinga Cannabis Capital Conference. Hear exclusive interviews and discussions with industry leaders, offering fresh perspectives and insider knowledge on the latest trends in the cannabis world.In this episode, I sat down with Ian Dominguez, Founder of Delta Emerald Ventures. Ian's group also puts together CannaDataCon, an event created to help business owners learn how to build a useful data strategy in cannabis. Hear how operators can better monetize their customer data and look at customer loyalty in a new way. You'll also hear the buzz about low-dose THC beverages and how the booming product category is helping the overall cannabis industry.Quick Linkshttps://www.cannadatacon.com/https://www.deltaemerald.com/

Privacy Issues With Data Monetization Hello, this is Hall T. Martin with the Startup Funding Espresso -- your daily shot of startup funding and investing. Many startups collect data from users that is useful to other companies. Those companies are not interested in the raw data but rather the insight into the behaviors of the users. For example, users who use the app at the same time of day give an indication of their schedule. This can be used by other companies such as providing ads to that user at that time. In monetizing your data, consider the privacy issues that come with it. Consider taking these steps to ensure the privacy of your users: Make clear your data policy to users. Collect only the data you need. Anonymize the data so no one's personal identity is made known. Give the user the ability to opt out of the data sharing process. Give the user the ability to delete their data. Provide security around the data you are collecting to prevent unauthorized use of it by hackers. Abide by the current regulations set forth by the industry, the state, and other authorities around data usage. Data monetization can create new revenue streams for your company, but you must ensure the privacy of users.    Thank you for joining us for the Startup Funding Espresso where we help startups and investors connect for funding. Let's go startup something today. _________________________________________________________ For more episodes from Investor Connect, please visit the site at:   Check out our other podcasts here:   For Investors check out:   For Startups check out:   For eGuides check out:   For upcoming Events, check out    For Feedback please contact info@tencapital.group    Please , share, and leave a review. Music courtesy of .

Data Monetization Requirements Hello, this is Hall T. Martin with the Startup Funding Espresso -- your daily shot of startup funding and investing. Monetizing data requires several key components. Here's a list of components needed to monetize your startups data: Ability to acquire the data -- the more you can source your own data versus relying on others the more valuable your data will be. Ability to store the data acquired -- you'll need a data platform to hold the data for analysis and processing. Modeling and testing -- you'll need to model the data captured and analyze it with databases and algorithms for the result sought.   Customer requirements -- you'll need to know the customer's requirements in order to build data sets of value to them. Compliance and regulatory -- you'll need to know the current laws around the use of data based on regulatory requirements. People who understand data and how to interpret it -- you'll need a team that understands data and how to analyze, interpret, and present the results. Consider these elements in building out your data analytics program.   Thank you for joining us for the Startup Funding Espresso where we help startups and investors connect for funding. Let's go startup something today. _______________________________________________________ For more episodes from Investor Connect, please visit the site at:   Check out our other podcasts here:   For Investors check out:   For Startups check out:   For eGuides check out:   For upcoming Events, check out    For Feedback please contact info@tencapital.group    Please , share, and leave a review. Music courtesy of .

Data Monetization Models Hello, this is Hall T. Martin with the Startup Funding Espresso -- your daily shot of startup funding and investing. There are several data monetization models for startups  Sources of data come from a large network of customers, in depth content, or heavily trafficked websites. Consider these for your startup. Data as a service -- takes data generated by the startup and makes it available to other companies.  For example, weather data captured by one startup can be sold to other companies. The data is captured by the software and then made available in machine readable form to other companies' websites.  An automatic feed continuously generates the data and sends it to other sites. Direct data transfer -- takes data directly from the startup and sells it to other companies. This could be a customer list with email addresses. This works well when you have a list of customers that others want to sell to. Data augmentation -- taking other data sets and combining with your own to create a new data set that is more valuable. A startup could take their customer list and augment it with data from other sources to provide a richer set of data to sell to other companies. For example a startup could take their customer list and add contact and location information and sell it to other companies. Automating this process makes the data more valuable as it reduces the friction between source and use cases. Consider these data monetization models for your startup. More analysis often leads to higher monetization levels.   Thank you for joining us for the Startup Funding Espresso where we help startups and investors connect for funding. Let's go startup something today. _________________________________________________________ For more episodes from Investor Connect, please visit the site at:   Check out our other podcasts here:   For Investors check out:   For Startups check out:   For eGuides check out:   For upcoming Events, check out    For Feedback please contact info@tencapital.group    Please , share, and leave a review. Music courtesy of .

What's the point of creating value with your data if you never cash it in? This week, Barb Wixom, Principal Research Scientist at MIT Sloan's Center for IS Research, takes us through the critical but oft neglected journey of turning data into definitive financial gains.In peeling back the layers inherent to the value creation process, Barb insists that the leap from data to dollars must involve more than simply generating insights; it requires a strategic pivot towards value realization. With the IWS (Improve, Wrap, Sell) framework, we'll help demystify the process, and show you exactly how operational enhancements and product advancements can be carefully leveraged to achieve financial outcomes. It's a comprehensive look at the practicalities of converting data into tangible value; a must-listen for anyone looking to navigate the complexities of data monetization effectively.Three reasons you should listen to this episode:1. Value Creation to Realization. Barb breaks down the critical steps from value creation to value realization in data monetization, highlighting a commonly overlooked phase that is crucial for translating data benefits into financial returns.2. The IWS Framework. A simple yet powerful tool for organizations to strategize their data monetization efforts, providing a clear pathway from operational improvements to selling information-based solutions.3. Sustainability and Data Monetization. For any effort to be viable long-term, it must not only generate social or operational benefits but also secure financial returns, thereby ensuring the initiative's economic feasibility over time.ResourcesConnect with JayConnect with BarbEnjoyed this Episode?Be sure to follow us so you never miss an update. You can leave us a review on Apple or Spotify, and share it with your friends and colleagues to help others learn more about the importance of a data-first digital transformation approach.Have questions? You can connect with us on LinkedIn. For more updates, please visit our website.

Our privacy theme continues as the MacVoices Live! panel looks at HP's new option to rent a printer. Is that a good idea given the seemingly onerous contract terms, let alone the possible privacy concerns over an always-connected-to-the-Internet printer? Chuck Joiner, Brian Flanigan-Arthurs, Eric Bolden, Marty Jencius, Jim Rea, Jeff Gamet, and David Ginsburg look at everything from cancellation requirements to minimum page requirements to where the printer companies are making their money…at your expense.  Take Control Books: The Answers You Need Now, From Leading Experts. Show Notes: Chapters: 0:00 Introduction to HP Printer Rental Debate 0:55 Concerns about HP Printer Monitoring and Privacy 2:20 Puzzling Reactions to HP's Printer Rental Offer 3:24 Stricter Conditions for HP Printer Connectivity 4:27 Licensing and Usage Terms for Software 4:52 Managing Software Licensing and Usage 5:56 Flexible Licensing Models for Software Use 8:33 Implementing Customer-Centric Software Licensing 9:33 Speculation on HP Printer Data Collection 10:18 Privacy Concerns in Modern Technology 10:56 Financial Analysis of HP Printer Rental Plan 11:47 Financial Breakdown of HP Printer Subscription 13:12 Evolution of Printer Business Models 13:51 HP's Transition to Information-Driven Revenue 14:15 Nostalgia for Old Printer Durability 14:38 Disappointment with HP's New Business Model 15:05 Speculation on HP's Motivations for New Model 15:39 HP's Transparent Approach to Data Monetization 16:18 HP's Openness about Data Monetization 17:46 Subscription Model Suitability for Consumers 18:34 Experience with Subscription Models in Printing 19:48 Consumer Reactions to HP's Business Model 20:19 Public Response to HP's Printer Subscription 20:49 Evolution of Printer Leasing and Service Contracts 21:34 Concerns over Terms and Penalties in HP Printer Subscription 22:24 Uncertainty about Data Sold by HP 23:33 Public Perception and Consumer Behavior 24:13 Concerns over Continuous Internet Connection Requirement 25:08 Usage Patterns and Monitoring in Business Printing 26:38 Insights on Data Collection from Printer Usage 28:00 Public Reactions and Community Discussions 30:28 Business vs. Consumer Considerations in Printer Subscriptions 31:59 Speculation on HP's Business Strategy 33:06 Enterprise Experience with Printer Management 34:54 Evolution of Printing Trends in Business Links: HP wants you to pay up to $36/month to rent a printer that it monitors https://arstechnica.com/gadgets/2024/02/hp-wants-you-to-pay-up-to-36-month-to-rent-a-printer-that-it-monitors/ Guests: Eric Bolden is into macOS, plants, sci-fi, food, and is a rural internet supporter. You can connect with him on Twitter, by email at embolden@mac.com, on Mastodon at @eabolden@techhub.social, and on his blog, Trending At Work. Brian Flanigan-Arthurs is an educator with a passion for providing results-driven, innovative learning strategies for all students, but particularly those who are at-risk. He is also a tech enthusiast who has a particular affinity for Apple since he first used the Apple IIGS as a student. You can contact Brian on twitter as @brian8944. He also recently opened a Mastodon account at @brian8944@mastodon.cloud. Jeff Gamet is a technology blogger, podcaster, author, and public speaker. Previously, he was The Mac Observer's Managing Editor, and the TextExpander Evangelist for Smile. He has presented at Macworld Expo, RSA Conference, several WordCamp events, along with many other conferences. You can find him on several podcasts such as The Mac Show, The Big Show, MacVoices, Mac OS Ken, This Week in iOS, and more. Jeff is easy to find on social media as @jgamet on Twitter and Instagram, jeffgamet on LinkedIn., @jgamet@mastodon.social on Mastodon, and on his YouTube Channel at YouTube.com/jgamet. David Ginsburg is the host of the weekly podcast In Touch With iOS where he discusses all things iOS, iPhone, iPad, Apple TV, Apple Watch, and related technologies. He is an IT professional supporting Mac, iOS and Windows users. Visit his YouTube channel at https://youtube.com/daveg65 and find and follow him on Twitter @daveg65 and on Mastodon at @daveg65@mastodon.cloud Dr. Marty Jencius has been an Associate Professor of Counseling at Kent State University since 2000. He has over 120 publications in books, chapters, journal articles, and others, along with 200 podcasts related to counseling, counselor education, and faculty life. His technology interest led him to develop the counseling profession ‘firsts,' including listservs, a web-based peer-reviewed journal, The Journal of Technology in Counseling, teaching and conferencing in virtual worlds as the founder of Counselor Education in Second Life, and podcast founder/producer of CounselorAudioSource.net and ThePodTalk.net. Currently, he produces a podcast about counseling and life questions, the Circular Firing Squad, and digital video interviews with legacies capturing the history of the counseling field. Generally, Marty is chasing the newest tech trends, which explains his interest in A.I. for teaching, research, and productivity. Marty is an active presenter and past president of the NorthEast Ohio Apple Corp (NEOAC). Jim Rea built his own computer from scratch in 1975, started programming in 1977, and has been an independent Mac developer continuously since 1984. He is the founder of ProVUE Development, and the author of Panorama X, ProVUE's ultra fast RAM based database software for the macOS platform. He's been a speaker at MacTech, MacWorld Expo and other industry conferences. Follow Jim at provue.com and via @provuejim@techhub.social on Mastodon. Support:      Become a MacVoices Patron on Patreon      http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:      http://macvoices.com      Twitter:      http://www.twitter.com/chuckjoiner      http://www.twitter.com/macvoices      Mastodon:      https://mastodon.cloud/@chuckjoiner      Facebook:      http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:      http://www.facebook.com/macvoices/      MacVoices Group on Facebook:      http://www.facebook.com/groups/macvoice      LinkedIn:      https://www.linkedin.com/in/chuckjoiner/      Instagram:      https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes      Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss 00:00:00 Introduction to HP Printer Rental Debate 00:00:55 Concerns about HP Printer Monitoring and Privacy 00:02:20 Puzzling Reactions to HP's Printer Rental Offer 00:03:24 Stricter Conditions for HP Printer Connectivity 00:04:27 Licensing and Usage Terms for Software 00:04:52 Managing Software Licensing and Usage 00:05:56 Flexible Licensing Models for Software Use 00:08:33 Implementing Customer-Centric Software Licensing 00:09:33 Speculation on HP Printer Data Collection 00:10:18 Privacy Concerns in Modern Technology 00:10:56 Financial Analysis of HP Printer Rental Plan 00:11:47 Financial Breakdown of HP Printer Subscription 00:13:12 Evolution of Printer Business Models 00:13:51 HP's Transition to Information-Driven Revenue 00:14:15 Nostalgia for Old Printer Durability 00:14:38 Disappointment with HP's New Business Model 00:15:05 Speculation on HP's Motivations for New Model 00:15:39 HP's Transparent Approach to Data Monetization 00:16:18 HP's Openness about Data Monetization 00:17:46 Subscription Model Suitability for Consumers 00:18:34 Experience with Subscription Models in Printing 00:19:48 Consumer Reactions to HP's Business Model 00:20:19 Public Response to HP's Printer Subscription 00:20:49 Evolution of Printer Leasing and Service Contracts 00:21:34 Concerns over Terms and Penalties in HP Printer Subscription 00:22:24 Uncertainty about Data Sold by HP 00:23:33 Public Perception and Consumer Behavior 00:24:13 Concerns over Continuous Internet Connection Requirement 00:25:08 Usage Patterns and Monitoring in Business Printing 00:26:38 Insights on Data Collection from Printer Usage 00:28:00 Public Reactions and Community Discussions 00:30:28 Business vs. Consumer Considerations in Printer Subscriptions 00:31:59 Speculation on HP's Business Strategy 00:33:06 Enterprise Experience with Printer Management 00:34:54 Evolution of Printing Trends in Business

Charlie Silver is the Founder & CEO at Permission.io, a leading provider of permission-based, Web3 advertising. In this episode KJ and Charlie discuss how big tech platforms exploit individuals' personal data and why it's time for a change.   Key Takeaways: 04:48 The Creepy Reality of Data Exploitation and the Promise of Web3 11:33 The Evolution of Internet Currency: From Digital Wallets to Bitcoin 16:02 Decoding the Dollar 21:53 The Power of Amazon's Data and GDPR's Impact 22:45 The Future of Data Monetization and Partnerships 23:37 The Legal Landscape of AI and Copyrights 24:51 The Rise of Digital Assets and Cryptocurrency Adoption 26:12 The Importance of Clear Regulation for Crypto's Future 30:21 Educating the Public on Web 3.0 and Digital Assets   Quote of the Show (20:00): “I'm very excited about the period to come. I think the world is becoming a better place, even though we've kind of hit rock bottom in all kinds of trust and institutions, I think there are things in place like Web3 and Bitcoin that are really going to promote individual rights.” – Charlie Silver   Join our Anti-PR newsletter where we're keeping a watchful and clever eye on PR trends, PR fails, and interesting news in tech so you don't have to. You're welcome.   Want PR that actually matters? Get 30 minutes of expert advice in a fast-paced, zero-nonsense session from Karla Jo Helms, a veteran Crisis PR and Anti-PR Strategist who knows how to tell your story in the best possible light and get the exposure you need to disrupt your industry. Click here to book your call: https://info.jotopr.com/free-anti-pr-eval   Ways to connect with Charlie Silver: LinkedIn: https://www.linkedin.com/in/c-silver/    Twitter: https://twitter.com/PermissionCEO Company Website: https://www.permission.io/ Company LinkedIn: https://www.linkedin.com/company/permission-io/   How to get more Disruption/Interruption:  Amazon Music - https://music.amazon.com/podcasts/eccda84d-4d5b-4c52-ba54-7fd8af3cbe87/disruption-interruption Apple Podcast - https://podcasts.apple.com/us/podcast/disruption-interruption/id1581985755 Google Play - https://podcasts.google.com/feed/aHR0cHM6Ly93d3cub21ueWNvbnRlbnQuY29tL2QvcGxheWxpc3QvODE5NjRmY2EtYTQ5OC00NTAyLThjZjktYWI3YzAwMmRiZTM2LzNiZTZiNzJhLWEzODItNDhhNS04MDc5LWFmYTAwMTI2M2FiNi9kZDYzMGE4Mi04ZGI4LTQyMGUtOGNmYi1hZmEwMDEyNjNhZDkvcG9kY2FzdC5yc3M= Spotify - https://open.spotify.com/show/6yGSwcSp8J354awJkCmJlDSee omnystudio.com/listener for privacy information.

A teeny tiny intro as it's just Bruford this episode [0:00 – 2:38]. Pretty sure he mentions our excellent sponsor overlords though, Optimove and Clarion Gaming. WE LOVE THEM. Jon is then joined by Jon Bourke, CEO of Encompass Digital and Value Privacy, here to discuss the monetization of first-party data and the power of personalization in the iGaming industry. The Bourkemeister also introduces a brand-new buzzword to the podcast: psychographics! Jon explains the concept of psychographics and how it can be used to influence behaviour and encourage brand engagement. Bourke emphasizes the importance of creative messaging in attracting and retaining customers, and the need for granular data analysis to effectively target audiences. He also discusses the limitations of personalization and the importance of surprise and chemistry in customer interactions. Bourke highlights the potential for expanding the addressable audience and acquiring new players through data-driven marketing strategies [2:39 – 59:48]. There's a lot to unpick here… But fundamentally, data-driven businesses can acquire entirely new players quickly and elegantly, and it will leave you wondering just how much autonomy we have as humans when it really boils down to it. This podcast is presented by Optimove, which is used by 56% of the EGR Power50 to personalize player experiences. Visit Optimove here for more info, not least because it helps to support independent podcasts like ours. Go on, click it! Find out! It's awesome.  

This is the story of Merry Marwig and Innovative Approaches To Data Privacy. Second Episode in series on Privacy with Merry. Merry Marwig, a privacy professional with DataGrail, discusses how to reduce risk when managing data privacy.  She emphasizes the value and power of data, as well as the need for transparency and consent. Merry also discusses the role of privacy in business and the challenges of privacy compliance. She concludes by highlighting the intersection of privacy and security and the importance of aligning the two. Key TakeawaysData monetization has become normalized, with companies collecting and selling personal data without consumers being fully aware.User awareness about privacy practices and data collection is crucial.Moving beyond passwords and implementing stronger authentication methods is essential for better security.Personal privacy can be compromised, and hiring authorized agents can help manage privacy requests.Automation can help operationalize privacy requests and save time and resources.Privacy tools should have least privilege access to ensure data security.  CHAPTERS2:33 The Implications of Data Brokers4:23 Managing Data Sprawl6:03 The Importance of System Inventory9:47 The Threat of Weaponizing Access Requests11:49 The Historical Context of Privacy12:56 The Cultural Differences in Privacy15:22 The Use and Abuse of Data17:24 The Need for Privacy Education19:52 The Importance of Privacy in Business22:34 The Growing Landscape of Privacy Laws24:46 The Impact of State Privacy Laws26:25 The Challenges of Privacy Compliance28:22 The Need for Automated Privacy Solutions30:20 The Intersection of Privacy and Security31:08 The NIST Cybersecurity Framework for Privacy34:45 The Changing Landscape of Privacy36:09 The Importance of Privacy and Security Alignment40:09 Privacy in Organizations51:32 Operationalizing Privacy53:13 Data Monetization and PrivacyTry KiteWorks today at www.KiteWorks.comDon't Miss our Video on this Exciting KiteWorks Offer! Try KiteWorks today at www.KiteWorks.comDon't miss this Video on it!The Most Secure Managed File Transfer System. Watch Video Episodes! And Please...Subscribe to our YouTube Channel. Want to help us out? Leave us a 5-Star review on Apple Podcast Reviews. Submit Your Questions Direct and Find out more www.CyberCrimeJunkies.com Stay up-to-date on Cybersecurity with VIGILANCE Newsletter. Want Gear? We love our Small Business Sponsor, BlushingIntrovert.com. has it all. Women's clothing, cool accessories supporting Mental Health Research. https://blushingintrovert.com

In the "Data Monetization: Transforming Information into Revenue Streams" episode of my podcast, I offer a focused and objective look at how businesses can turn data into profit. Drawing on real-life examples and practical use cases, the episode covers key strategies for data monetization, aimed at professionals seeking to understand and implement these methods effectively. This concise discussion provides valuable insights for leveraging data in various business contexts. Thank you for listening!

AI is set to disrupt a lot of things, and fueling the data evolution is one of them. In this episode, Michael Clark from MasterCard, a trailblazer in the domains of data, future value, and digital innovation, shares what he learned from two decades of experience and their recent forays into the world of possibilities offered by AI. Delve into the world of data monetization and gain insights into global examples that illustrate the shifting landscape of data ownership. Uncover the potential for individuals to harness their data, ushering in a future where AI becomes not just an assistant but a personalized guide. Support us through our Sponsors! ☕

Walter Harrison is the CEO of Tapestri, an app allowing consumers to earn money from their data. He is also the Co-founder and CRO of Complementics, a mobile audience network that manages national and international data. With over 15 years of experience in ad technology, data monetization, and product development, Walter has worked with major Fortune 500 clients across various industries. As an ambitious serial entrepreneur, his previous product reached five million users. In this episode… With popular apps like TikTok and Instagram gathering data with each use, younger consumers have become accustomed to a lack of privacy. However, the widespread adoption of privacy regulations allows consumers to refuse certain types of data collection. How can you target audiences with granularity while facilitating consumer transparency? Data pro and app builder Walter Harrison has developed an app that pays consumers for personal data collection. This allows users to govern their monetized information and incentivizes them to permit activity tracking on apps and websites. Similarly, e-commerce stores can build an audience by targeting potential customers on corresponding sites and social platforms, cultivating security and trust, and rewarding them for data-sharing. Walter recommends gathering data from mobile apps or website browsers for precise attribution.  In today's episode of the Up Arrow Podcast, William Harris hosts Walter Harrison, the CEO of Tapestri, to discuss how e-commerce sites can leverage data monetization. Walter addresses the role of cryptocurrency in data monetization, the various types of consumer data, and how to analyze data proactively.

On this episode, host Sima Vasa welcomes Panayotis Gezerlis, Founder and President of Convert Group, to delve into the evolution of retail and e-commerce through data analytics and transparency. Key Takeaways: (02:25) The shift from consulting to data-driven retail strategies. (06:32) The importance of tactical decision-making in marketing and sales. (06:59) Budget redirection towards e-commerce in leading companies. (11:15) Retail media's influence on consumer behavior. (13:48) Utilizing retail media and basket information for customer targeting. (14:14) The critical role of sales decomposition in retail. (16:56) The future of retail with AI chatbot technology. (17:19) Launching user-friendly text advice platforms for retail decisions. Resources Mentioned: Convert Group Thanks for listening to the Data Gurus podcast, brought to you by Infinity Squared. If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and be sure to subscribe so you never miss another insightful conversation. #Analytics #MA #Data #Strategy #Innovation #Acquisitions #MRX

Please Rate and Review us on your podcast app of choice!Get involved with Data Mesh Understanding's free community roundtables and introductions: https://landing.datameshunderstanding.com/If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see hereEpisode list and links to all available episode transcripts here.Provided as a free resource by Data Mesh Understanding. Get in touch with Scott on LinkedIn.Transcript for this episode (link) provided by Starburst. You can download their Data Products for Dummies e-book (info-gated) here and their Data Mesh for Dummies e-book (info gated) here.Vanessa's LinkedIn: https://www.linkedin.com/in/vanessaeriksson/Sid's LinkedIn: https://www.linkedin.com/in/siddharthin/Stefan's LinkedIn: https://www.linkedin.com/in/stefan-zima-650229b7/Duncan's LinkedIn: https://www.linkedin.com/in/duncan-cooper-1113722/In this episode, guest host Vanessa Eriksson, the first CDO in Sweden and the head of data advisory company Vanessa Eriksson AB facilitated a discussion with Duncan Cooper, Chief Data Officer for Northern Trust Asset Servicing, Sid Shah, Head of Data Monetization and Platform at Airtel (guest of episode #258), and Stefan Zima, Data Transformation Lead at Raiffeisen Bank International AG (guest of episode #270). As per usual, all guests were only reflecting their own views.The topic for this panel was about the leader's role in a data mesh implementation and what these four panelists have learned in that role. This was the second iteration of a panel we will likely have about every six months or so - the first was episode #215 from April of 2023.Scott note: I wanted to share my takeaways rather than trying to reflect the nuance of the panelists' views individually.Scott's Top Takeaways:Regarding data mesh: get going but don't rush. Essentially, get started now but don't be in a hurry to try to get to some picture perfect end state. You need to take your time to make sure you are transforming instead of making changes that will unravel. Be brave and move forward into some uncertainty!Relatedly, you will absolutely get many things "wrong" but wrong in a data mesh world can simply mean not right yet. We have ways to adapt/adjust and evolve as we learn and grow. Data mesh provides you the ability to iterate towards better constantly.You _really_ should...

What is Data Monetization? Why is it critical to think about data monetization in the context of business strategy? In this episode we join AWS Sr Solution Architects Priyanka Sadhu and Robert Daly to talk about the basics of data monetization. We discuss how it can be used with associated processes to generate measurable business value and cover some of the best practices to get started.AWS Hosts: Nolan Chen & Malini ChatterjeeEmail your feedback! rethinkpodcast@amazon.com

This MacVoices Live! session concludes as Chuck Joiner, David Ginsburg, Eric Bolden, Brian Flanigan-Arthurs, Ben Roethig, Jim Rea, Web Bixby, and Jeff Gamet discuss data privacy and how car companies collect personal information. We emphasize user privacy and question the motives behind data monetization, touch on Apple's commitment to privacy, and discuss insurance policies and genomic data sharing. Panel members share their selective approach to data sharing and highlight the importance of safeguarding privacy online. (Part 3)  This edition of MacVoices is brought to you by the MacVoices Dispatch, our weekly newsletter that keeps you up-to-date on any and all MacVoices-related information. Subscribe today and don't miss a thing. Show Notes: Chapters: 0:01:31 Shocking revelations about data collection in cars 0:03:48 Companies Making Money from Our Data 0:05:37 Potential Privacy Risks with Connected Car Technology 0:05:59 Tesla and Privacy Concerns 0:07:33 Privacy Release in Insurance Applications 0:09:29 Front Print vs Genomic Data Sharing 0:11:56 Trust Issues with Insurance Tracking Devices 0:14:21 Debating Jeff's stance on overcharging and friendship 0:15:55 Different perspectives on risk and data monetization 0:18:50 Mark Fuccio's question about information sharing on Apple and other sites/apps 0:19:08 Personal Stance: Opting out of Data Sharing 0:20:51 Privacy Concerns and Data Sharing with Apps 0:22:17 The Dilemma of Data Sharing and App Improvement 0:25:03 The Controversy Surrounding Cookies and Data Collection 0:26:33 Trusting Developers and Tracking App Usage 0:27:01 Importance of Security and Privacy in the Digital Age 0:30:12 Panelists Discuss Their Favorite Social Media Networks Links: Tesla tops Mozilla's list of 'creepiest' carmakers, but 25 brands failed basic data privacy tests https://www.engadget.com/tesla-tops-mozillas-list-of-creepiest-carmakers-but-25-brands-failed-basic-data-privacy-tests-202017058.html Explores the Dramatic Life of Carlos Ghosn https://www.caranddriver.com/news/a44893960/carlos-ghosn-documentary-details/ Apple TV+ is telling the stunning tale of Carlos Ghosn, known for ‘spiriting himself away from Japan by hiding in a box' https://fortune.com/2023/08/24/apple-tv-carlos-ghosn-documentary-leaving-japan-in-box/ Wanted: The Escape of Carlos Ghosn https://www.apple.com/tv-pr/originals/wanted-the-escape-of-carlos-ghosn/ Guests: Web Bixby has been in the insurance business for 40 years and has been an Apple user for longer than that.You can catch up with him on Facebook, Twitter, and LinkedIn. Eric Bolden is into macOS, plants, sci-fi, food, and is a rural internet supporter. You can connect with him on Twitter, by email at embolden@mac.com, on Mastodon at @eabolden@techhub.social, and on his blog, Trending At Work. Brian Flanigan-Arthurs is an educator with a passion for providing results-driven, innovative learning strategies for all students, but particularly those who are at-risk. He is also a tech enthusiast who has a particular affinity for Apple since he first used the Apple IIGS as a student. You can contact Brian on twitter as @brian8944. He also recently opened a Mastodon account at @brian8944@mastodon.cloud. Jeff Gamet is a technology blogger, podcaster, author, and public speaker. Previously, he was The Mac Observer's Managing Editor, and the TextExpander Evangelist for Smile. He has presented at Macworld Expo, RSA Conference, several WordCamp events, along with many other conferences. You can find him on several podcasts such as The Mac Show, The Big Show, MacVoices, Mac OS Ken, This Week in iOS, and more. Jeff is easy to find on social media as @jgamet on Twitter and Instagram, jeffgamet on LinkedIn., @jgamet@mastodon.social on Mastodon, and on his YouTube Channel at YouTube.com/jgamet. David Ginsburg is the host of the weekly podcast In Touch With iOS where he discusses all things iOS, iPhone, iPad, Apple TV, Apple Watch, and related technologies. He is an IT professional supporting Mac, iOS and Windows users. Visit his YouTube channel at https://youtube.com/daveg65 and find and follow him on Twitter @daveg65 and on Mastodon at @daveg65@mastodon.cloud Jim Rea built his own computer from scratch in 1975, started programming in 1977, and has been an independent Mac developer continuously since 1984. He is the founder of ProVUE Development, and the author of Panorama X, ProVUE's ultra fast RAM based database software for the macOS platform. He's been a speaker at MacTech, MacWorld Expo and other industry conferences. Follow Jim at provue.com and via @provuejim@techhub.social on Mastodon. Ben Roethig has been in the Apple Ecosystem since the System 7 Days. He is the a former Associate Editor with Geek Beat, Co-Founder of The Tech Hangout and Deconstruct and currently shares his thoughts on RoethigTech. Contact him on  Twitter and Mastodon.   Support:      Become a MacVoices Patron on Patreon      http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:      http://macvoices.com      Twitter:      http://www.twitter.com/chuckjoiner      http://www.twitter.com/macvoices      Mastodon:      https://mastodon.cloud/@chuckjoiner      Facebook:      http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:      http://www.facebook.com/macvoices/      MacVoices Group on Facebook:      http://www.facebook.com/groups/macvoice      LinkedIn:      https://www.linkedin.com/in/chuckjoiner/      Instagram:      https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes      Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss 00:01:31 Shocking revelations about data collection in cars 00:03:48 Companies Making Money from Our Data 00:05:36 Potential Privacy Risks with Connected Car Technology 00:05:59 Tesla and Privacy Concerns 00:07:32 Privacy Release in Insurance Applications 00:09:28 Front Print vs Genomic Data Sharing 00:11:56 Trust Issues with Insurance Tracking Devices 00:14:21 Debating Jeff's stance on overcharging and friendship 00:15:55 Different perspectives on risk and data monetization 00:18:00 Geek Fight of the Century Promotion 00:18:49 Mark Fuccio's question about information sharing on Apple and other sites/apps 00:19:07 Personal Stance: Opting out of Data Sharing 00:20:51 Privacy Concerns and Data Sharing with Apps 00:22:17 The Dilemma of Data Sharing and App Improvement 00:25:02 The Controversy Surrounding Cookies and Data Collection 00:26:33 Trusting Developers and Tracking App Usage 00:27:00 Importance of Security and Privacy in the Digital Age 00:30:12 Panelists Discuss Their Favorite Social Media Networks

Welcome in my new podcast series, where in details I will dive into AI and Data Analytics topic. Join me in this exciting journey! How is Artificial Intelligence transforming the Product Management landscape? Why should Data Monetization be a priority for every product team? Let's discuss the importance of these topics in today's world, where running a business with AI and Data is crucial!

Contact your host with questions, suggestions or requests about sponsoring the AppleInsider Daily:charles_martin@appleinsider.comLinks from the showApple issues Rapid Security Response for iOS 16.5.1 & macOS 13.4.1New macOS malware steals bank info, crypto wallets & much moreApple's App Store changed the software world 15 years agoCarPlay can now control a Porsche's air conditioning & moreGM ditching CarPlay could go bad, complain car dealersFoxconn pulls out of $19.5 billion India chip joint ventureBan on sales of cellular location data could break important privacy precedent in USEvernote fires nearly every US employee as it shifts operations to EuropeBe careful with emoji, because they are legally binding in CanadaSubscribe to the AppleInsider podcast on: Apple Podcasts Overcast Pocket Casts Spotify Subscribe to the HomeKit Insider podcast on:•  Apple Podcasts•  Overcast•  Pocket Casts•  Spotify

When building a product it is very important for Product Managers to communicate with Data Scientist and use the data and predictions. Let's talk about this more in today's episode. If you want to stay informed about the latest news in the world of ⁠⁠⁠⁠⁠⁠⁠⁠⁠#AI⁠⁠⁠⁠⁠⁠⁠⁠⁠ and Data Monetization, be sure to subscribe to my newsletter at: ⁠⁠⁠⁠⁠⁠⁠⁠⁠https://arekskuza.com/newsletter/⁠⁠⁠⁠⁠⁠⁠⁠⁠  My key links

Let's dive into more details about ChatGPT Plugins - the big revolution in GPT engines.

Let's dive into more details about ChatGPT Plugins - the big revolution in GPT engines.

Let's dive into more details about ChatGPT Plugins - the big revolution in GPT engines.

Chris Tabb (LEIT Data) and I hang out at my house and chat about data monetization and business value. What the heck are those things? Good question. Listen and find out. LEIT Data: https://www.leit-data.com/ Chris Tabb: https://www.linkedin.com/in/chris-tabb-datatips/ ----------------------- If you like this show, give it a 5-star rating on your favorite podcast platform. Purchase Fundamentals of Data Engineering at your favorite book seller. Check out my substack: https://joereis.substack.com/

As an expert in your field, you need to approach your work from every perspective. If a medical doctor can deliver a particular diagnosis for a patient, then they should also be able to do the same for themself. The same principle applies to data organizations and how they approach their own enterprise data.As a CDO, if your internal customers must pay to access the data or insights you provide, would they feel confident in your ability to deliver value from your data products? Is your business singularly focused on understanding and meeting customer needs — both now and on the road ahead? If not, then what's standing in your way? For many CDOs, the answer lies in making that crucial transition from being data-driven to data product-driven. In this episode, we discuss making the shift to becoming data product-driven. Malcolm is joined by Saleem Khan, Discovery Data's Chief Data & Analytics Officer (CDAO). During the discussion, Saleem shares valuable insights on thriving within the CDO's function for an organization whose core product is data. Saleem's shared insights include a framework for managing a data product pipeline, leading a team of data product managers, and implementing processes to anticipate future market demand. Saleem's recommendations even include insights on a sales enablement methodology that can be used to ensure data consumers will derive benefit from data products and the critical role that a marketing function can play in ensuring data customers have a clear understanding of how a data product helps deliver a specific business outcome. Given Saleem's role is primarily as a Chief Product Officer (CPO), it should be no surprise that he won't discuss data quality, data governance, data pipelines or anything else deeply focused on data management. Instead, he focuses on several best practices and actionable insights for how to approach the role of a CDO should you wish to ensure stakeholder value remains at the core of everything you do. Key Moments[1:57] Saleem's Career Journey to Discovery Data[3:45] How Data Can Be Monetized/Validated[6:30] RAD Defined[9:12] The Role of a CDAO[13:10] Implementing the FRAME Framework[19:30] Aggregating Customer Data[21:40] Data Governance as a Business Model[23:35] Anticipating Consumer Interests[25:20] Taking a Product Management Approach[27:25] The Problem with ‘Data Literacy'[31:24] The Current State of Blockchain[34:00] Data as a Consumerized Product[38:51] The Fragmentation of Data SharingKey Takeaways Predicting Debt and Data Monetization (3:45)“One of the first forays I truly had into data science and the data world was building out a prediction model…where we would try to determine which companies were most likely to issue debt. So, on one end of the spectrum, you've got Microsoft and Apple which are incredibly cash-rich and they usually don't borrow…then on the other end of the spectrum, you've got companies that require a lot of cash because they're very capitol-driven and capitol-intensive and have to take out a lot of debt. And whenever debt is taken out, SMP has to take a rating on it.” — Saleem KhanThe Role of a CDAO (9:14)“As Chief Data and Analytics Officer, 50% of my job is sales and marketing, the other 50% is product development…My job becomes making sure I communicate with customers, especially our largest customers, as often as I can…Data is our product, so [for customers] who better to hear from than the Chief Data Officer about what trends there are, and where you are taking your data set?” — Saleem KhanAdopting the FRAME Framework (14:12)“We have a framework as part of our data operations. We have another framework called, FRAME. FRAME is an acronym that stands for ‘Fuel, Refine, Analyze, Magnify and Execute'. Each of these components is a different part of the data operations lifecycle…There are multiple ways to distribute your data and your content to customers.” — Saleem KhanThe Problem with Data Literacy (27:25)“I happen to be vehemently opposed to that phrase [data literacy] because it turns the problem to a user problem where I think it should be on the creation side. If you're creating a data product, if you're creating something for consumption…and they don't know how to use it and don't know how to derive value from it, I would argue that that is a product failure, not a user failure.” — Malcolm HawkerCreating a Product Narrative (29:25)“When you have a product that has a miss, there is one of two reasons: One could be that it was just a terrible product, and two could be ‘wrong place, wrong time'…but the products that do work out, they tend to work out because the CDO is working directly in tandem with sales and marketing to create that narrative, to tell that story of value to the customer… to make sure that customer has a simple and crystal clear understanding of how this data product will deliver a specific business outcome.” — Saleem KhanAbout Saleem KhanSaleem is the Chief Data & Analytics Officer (CDAO) at Discovery Data. With over 15 years of experience in the data space as a patented product, data and technology executive, he remains proficient at using data-driven and analytical techniques to deliver new digital products and implement digitally-enhanced process transformations.EPISODE LINKS & RESOURCES:Follow Malcolm Hawker on LinkedInFollow Saleem Khan on LinkedInVisit Discovery Data's website

Our guest this week is Nick Jordon, founder and CEO of Narrative. Narrative is a category creating company that has redefined data commerce by helping organizations acquire and monetize data more efficiently. In this talk, we deep dived into data monetization, from common use cases to marketplace pricing mechanisms and data quality assurance. We also explored how large, mature companies can monetize data from customer interactions with their products to improve margins. Key Questions: What are the buyer and seller  dynamics of a data marketplace?  Which use cases are mature today, and which are being tested? How are prices and purchase rules set rules on the platform, and by whom? What is the process to guarantee data ownership and accuracy?  

As more companies find themselves with an immense amount of data, many are wondering how they can use that data to save money or even create revenue. Data monetization is the process of using data to gain economic profit. Organizations that collect large amounts of data can significantly benefit from creating a data monetization strategy as part of their overall data and analytics practice. There are various ways to monetize your organization's data, from using data to optimize business performance to selling data to third parties. Listen to this episode to learn about: • Common preconceptions and obstacles to data monetization   • 3 main approaches to data monetization   • How to build capabilities to enable data monetization    

Our guest this week is Lauren Wiener, Managing Director and Partner in the New York office of the Boston Consulting Group. With Laura lending her considerable experience and expertise, this episode provides a deep-dive into the world of retail media networks.  We dig into definitions, the size of the opportunity and what is driving this booming area of retail. We learn who some of the leaders are and what strategies they employ. We also unpack some of the major opportunities, key risks and how to best balance sometimes conflicting agendas. It's a concise Masterclass on what you need to know about this rapidly growing and highly profitable retail segment.But first we unpack the hot retail news of the week, including Macy's questionable PR strategy, just announced plans to roll out Toys R US departments everywhere, and its small stores dreams. We have a more positive take on Nike's new Style concept which just debuted in Seoul, before wrapping up with a discussion of what a recession might mean for retailer's strategies.About LaurenLauren Wiener is a Managing Director & Partner at Boston Consulting Group, based in the New York office. She leads BCG's Retail Media and Data Monetization business globally, working across retailers, CPGs and tech partners to unlock this emerging channel. She has authored research on the topic including "The $100B Media Opportunity for Retailers" and "Consumers Want Privacy. Marketers Can Deliver." Lauren has extensive experience across marketing, sales and pricing with a laser focus on these topics at the intersection of digital marketing, personalization, agile, ad tech and martech.Prior to rejoining BCG, Lauren was the CEO of Tremor Video DSP, an ad tech company focused on using AI, big data and outcome based buying models to optimize video advertising effectiveness. Before Tremor, Lauren spent 15 years building advertising and subscription-based digital businesses from the ground up for Meredith Corporation, Primedia and MTV Networks. In addition to scaling and transforming businesses, Lauren has successfully sold three digital and media companies, including Tremor Video to Taptica International, American Baby to Meredith Corporation and Seventeen to Hearst Corporation. Lauren holds an MBA from Harvard Business School and graduated magna cum laude from Yale University with a BA in History. About UsSteve Dennis is an advisor, keynote speaker and author on strategic growth and business innovation. You can learn more about Steve on his       website.    The expanded and revised edition of his bestselling book  Remarkable Retail: How To Win & Keep Customers in the Age of Disruption is now available at  Amazon or just about anywhere else books are sold. Steve regularly shares his insights in his role as a      Forbes senior contributor and on       Twitter and       LinkedIn. You can also check out his speaker "sizzle" reel      here.Michael LeBlanc  is the Founder & President of M.E. LeBlanc & Company Inc and a Senior Advisor to Retail Council of Canada as part of his advisory and consulting practice.   He brings 25+ years of brand/retail/marketing & eCommerce leadership experience, and has been on the front lines of retail industry change for his entire career.  Michael is the producer and host of a network of leading podcasts including Canada's top retail industry podcast,       The Voice of Retail, plus  Global E-Commerce Tech Talks  ,      The Food Professor  with Dr. Sylvain Charlebois and now in its second season, Conversations with CommerceNext!  You can learn more about Michael   here  or on     LinkedIn. Be sure and check out Michael's latest venture for fun and influencer riches - Last Request Barbecue,  his YouTube BBQ cooking channel!

Data Transformers Podcast Data monetization starts with focus on Customer engagement & Customer Journey Play Episode Pause Episode Mute/Unmute Episode Rewind 10 Seconds 1x Fast Forward 30 seconds 00:00 / 00:25:01 Subscribe Share Apple Podcasts Google Podcasts Spotify Stitcher RSS Feed Share Link Embed