This DataDriven Podcast episode features a conversation between Chris Detzel, Director of Customer Engagement and Community and Sushant Rai, the VP of Product Management at Reltio. The discussion revolves around the intersection of AI, data management, and product development.Sushant provides insights into the primary drivers for businesses adopting AI technologies, such as improving efficiency, enhancing decision-making, personalizing customer experiences, and improving business responsiveness. He shares examples of how AI is being utilized across various industries, including manufacturing, retail, finance, and healthcare.The discussion then turns to Reltio's approach to AI and ML. Sushant explains Reltio's three-part strategy: "built for AI," "built-in AI," and "built with AI." He delves into Reltio's Flexible Entity Resolution Network (FERN), a patented technology that provides instant, automated semantic understanding of entity data, enabling high-quality match recommendations with minimal manual effort.Sushant also highlights Reltio's Intelligent Assistant (RIA), a generative AI capability that allows users to interact with Reltio using natural language queries and receive insights, including dynamic visualizations, based on their data.Additionally, Sushant discusses Reltio's product roadmap, which includes augmented entity resolution, automated data ingestion and modeling, and data governance features like anomaly detection and data quality recommendations.The conversation also covers the importance of having a clear AI strategy, addressing challenges like data silos, lack of standardization, and talent acquisition when scaling AI solutions across operations.Overall, the podcast provides valuable insights into Reltio's innovative AI and ML capabilities and offers a thought-provoking perspective on the role of AI in enterprise data management and product development.

In this insightful episode of the DataDriven podcast, we examine the intricacies of the Reltio Partner Network, exploring the symbiotic relationships between Reltio, its Systems Integrator, Consulting, Implementation partners, Technology Partners, Cloud/Hyperscaler, and Data Partners. Our guest, MAC Heston. VP of Alliances and leader of partnerships at Reltio sheds light on how these collaborations significantly enhance Reltio's SaaS data management and unification platform, driving transformative business outcomes for clients. This episode highlights the network's pivotal role in providing competitive advantages in various industries. The conversation also touches on future trends in data management, the evolving landscape of AI and analytics, and offers valuable advice for IT and data professionals aiming to leverage their data more effectively.

In this insightful episode, we dive into the world of SaaS financial management through the eyes of Gordy Brooks, the CFO of Reltio, a leading data management and unification company with over $100 million in ARR. Amidst the backdrop of economic uncertainty, Gordy shares insights into navigating challenges, leveraging the Rule of 40 and exploring the Rule of X to balance growth with profitability. We discuss the strategies that have propelled the company's success, from innovation and cost management to differentiation in a competitive landscape. This conversation not only sheds light on the intricate dance between financial health and strategic growth but also offers valuable advice for aspiring CFOs, making it a must-listen for anyone interested in the dynamics of sustaining growth in the tech industry's ever-evolving economic climate.Bio:Gordon C. (Gordy) Brooks is Reltio's Chief Financial Officer, responsible for overseeing global accounting, finance, tax, IT, Information Security and operations. Prior to Reltio, Gordy was with FinancialForce where he served as CFO . Gordy has more than two decades of senior financial leadership experience at notable companies, serving as CFO of Citrix GetGo, Aerohive Networks and Blue Coat Systems, and holding other senior finance positions at VMware, BEA Systems, and Microsoft/WebTV Networks. Gordy began his career in audit in the Palo Alto office of Ernst & Young. Gordy received a Bachelor of Music in Piano Performance from Notre Dame de Namur University and received his Master in Accounting degree from the University of Southern California Leventhal School of Accounting.

In this episode, host Chris Detzel interviews Venki Subramanian, Senior VP of Product at Reltio, about using data to drive growth and efficiency in the retail industry. They discuss the key priorities retail companies are focused on, such as acquiring customers, increasing customer lifetime value, improving operational efficiency, and managing risk and compliance.Venki explains how technologies like master data management help retailers unify data across different systems and touchpoints to deliver superior customer experiences. He shares examples of retailers leveraging data and AI/ML for applications like demand forecasting, inventory optimization, computer vision, and virtual assistants.The discussion covers the importance of real-time, interoperable data in facilitating omni-channel retail experiences. They talk about the role of predictive analytics and emerging capabilities like edge AI in retail decision making. Venki emphasizes the need for composable architectures that allow retailers to integrate different technologies using standard interfaces and interoperable data.Key takeaways include starting with targeted business outcomes, proving value iteratively, and focusing on use cases that provide the best ROI when adopting new data/AI capabilities. Venki concludes that retailers who leverage composable architectures and interoperable data will differentiate themselves and drive growth.

Joining us is Ansh Kanwar, the Senior Vice President of Technology at Reltio, known for his expertise and leadership in the tech industry. Alongside him, we have the pleasure of welcoming Asha Saxena, a strategic and innovative leader with a wealth of experience in technology businesses. Stay tuned as we embark on a journey of discovery and learning in the realm of data technology. Asha Saxena's Background:Asha has a distinguished career, including being the Founder and CEO of Women Leaders in Data and AI (WLDA). She is also the CEO of Coaching International, a board advisor, an adjunct professor at Columbia University, a published author, and a columnist at Entrepreneur Magazine.Her journey in technology started with a degree in computer science engineering and a job as a mainframe programmer in New York City. She quickly advanced in her career, starting her own consulting company in her early twenties, growing it significantly, and later founding other successful companies.Asha's experience as an educator and author led her to write a book, inspired during the COVID-19 pandemic. This period also led to the creation of WLDA, focusing on responsible and ethical AI and promoting diversity in leadership roles in the field.Women Leaders in Data and AI (WLDA):WLDA was conceived as a response to the lack of diversity in senior AI roles and the potential biases in AI models. The organization aims to bring consciousness to leaders in the industry and includes both women and men. It focuses on ethical AI and creating a positive impact in the technology world.WLDA's activities include peer-to-peer community building, events, tech talks, leadership summits, and awards to recognize contributions in the field.Asha Saxena's Book on The AI Factor:The book discusses bridging the gap between business users and technologists, emphasizing the value of technology and practical frameworks for implementing AI in businesses.It provides use cases of successful companies, a four-step process for data readiness, and strategies to ensure that technology projects deliver real business value.Advice for Companies Approaching AI:Companies should not shy away from AI but start with small steps and create small wins to build momentum.The approach should be methodical, focusing on data readiness and ensuring that AI investments align with strategic business goals.Challenges in Data Management and Governance:Common issues include unclear ownership of data, priority conflicts, and the tendency of data initiatives to become more focused on infrastructure than on delivering business value.Proper data governance and strategic focus are crucial for successful data and AI initiatives.Asha's story and insights offer a comprehensive view of the challenges and opportunities in the data and AI space, especially emphasizing the importance of ethical considerations and diversity in leadership roles.

On this episode of the Data Driven Podcast, host Chris Detzel interviews Eric Cross, Chief Revenue Officer at master data management company Reltio. They dive into Eric's data-influenced approach for aligning go-to-market strategy across sales, marketing, customer success, and enablement.Eric emphasizes the criticality of unifying cross-functional teams around priority data points, metrics, and plans before analyzing data for actionable insights. Marketing and sales played a pivotal role in spearheading a transformation at Reltio. They encountered a crucial situation where inconsistent pipeline data highlighted the necessity for a radical overhaul of Reltio's demand generation engine, transitioning it into an ABX model.Drawing on 20+ years leading data-heavy tech enterprises, Eric also imparts downstream philosophies on using centralized data to guide international expansion and capitalizing on conversational AI for sales. On the human side, he reveals personal lessons about probing deeper during turbulent transitions and the CRO ethos of influencing beyond your domain with conviction.Tune in to decode key data plays guiding strategy and operations at this advanced B2B platform. An enlightening listen for analytics practitioners and aspiring executives undertaking data-driven change management.

In this episode of the DataDriven Podcast, host Chris Detzel chats with Ansh Kanwar, SVP of Technology at Reltio, about the increasingly vital topic of data security and privacy in the realm of AI integration. As AI technologies become more ingrained in our daily lives and business operations, protecting sensitive information has become a paramount concern for businesses and people.Our journey begins with exploring why data security and privacy are critical in the current AI landscape. We discuss the risks and challenges organizations face, including compliance with global data protection regulations, ethical responsibilities, and managing biases in AI algorithms. Listeners will gain a comprehensive understanding of the importance of data security in AI, the ethical implications, and the steps needed to create a secure and trustworthy AI ecosystem. This episode is a must-listen for anyone keen to stay ahead in the dynamic field of AI and data privacy. The importance of data to an AI strategy is paramount, as data is the foundation upon which all AI systems are built and trained.

This podcast episode features a discussion between Chris Detzel, Director of Customer Engagement and Community at Reltio,  Manish Sood, the CEO and founder of Reltio, and Sharath Katipally, a former chief data officer at J.P. Morgan who previously worked at Amazon and SoftBank.Sharath's Career Path:Started in data due to visa limitations, but found passion in the field.Worked in consulting, boutique firms, and large organizations like HSBC, Brightstar, Amazon, and J.P. Morgan.Gained diverse experience in financial services, retail, and tech.Key Differences Between Companies:Amazon: High-touch, low-margin B2C business with rapid iteration and tech focus.J.P. Morgan: High-touch, high-value B2B business with slower pace and focus on regulatory compliance.Data Structure: Tech companies tend to be decentralized, while traditional institutions are more centralized.Challenges as a Data Leader:Balancing regulatory compliance with innovation, especially in AI.Bridging the gap between tech-savvy and data-savvy leaders.Ensuring the quality and accuracy of foundational data for reliable AI outcomes.Predictions for the Future:Data and AI will become inseparable functions.The focus will shift from the "four V's" (volume, variety, velocity, veracity) to the "four P's" (prediction, precision, productivity, personalization).AI success will depend heavily on accurate and well-curated foundational data.Continuous improvement, experimentation, and a culture of innovation will be crucial.Sharath's Advice:Combine data and AI strategies for optimal results.Invest in modern data compliance and tool stack companies.Focus on data product innovation and rapid prototyping.Foster a culture of experimentation and justify its importance to stakeholders.Overall in this podcast Sharath's career, leveraging data and AI strategically, issues to expect with AI adoption, and an AI startup he is advising. The key theme is the critical importance of high quality, trustworthy data as a foundation.

In this insightful episode of the "Data Driven Podcast," host Chris Detzel, Director of Customer Engagement  and Community at Reltio engages with Willem Koenders, a Global Leader in Data Strategy at ZS. The conversation revolves around the balance between offensive and defensive data strategies. Willem, with his extensive experience in data governance and management, shares his expertise on leveraging data for positive outcomes, such as growth and innovation (offensive strategy), and preventing negative outcomes, like security breaches and compliance issues (defensive strategy). Real-world examples from industries like banking and entertainment (Netflix) are discussed to illustrate these concepts. The episode provides valuable insights for data professionals and business leaders, emphasizing the importance of a balanced and informed approach to data strategy in today's digital world.

In this episode of DataDriven, hosts Chris Detzel and Manish Sood chat with Dr. Inderpal Bhandari, Independent Director at Walgreens Boots Alliance and former IBM Global Chief Data Officer, exploring his remarkable career journey from the mid-1990s to the present. They'll delve into the groundbreaking development of IBM's Advanced Scout, the first data mining software used by NBA teams, and how this innovation set the stage for modern sports analytics. The discussion will extend to Dr. Bhandari's pioneering role in shaping the evolution of the Chief Data Officer role, addressing the many challenges and opportunities this role presents in today's data-driven world. Expect a deep dive into the strategic importance of data in business decision-making, the transformation of data management practices over the years, and the enduring lessons from Dr. Bhandari's experiences that continue to influence business intelligence and data strategy today.

In this episode of the DataDriven podcast, host Chris Detzel interviews Venki Subramanian, SVP of Product Management at Reltio, to discuss the crucial role of data products in transforming organizations into data-driven entities. The conversation covers the foundational concept of data products, differentiating them from the "data as a product" concept. It explores how enterprises implement these products across various sectors like retail, B2B, and healthcare. The episode addresses the major challenges data products solve and the difficulties in assessing their value and provides insights into creating and valuing data assets. Additionally, the discussion covers current and future use cases for data products, concluding with the impact of AI and machine learning. Listen to this episode to comprehensively understand data products for achieving organizational efficiency and growth.

Dive into the Data Deep End and join us for an enlightening expedition with Manish, Chris, and Joe DosSantos, where data isn't just digits and charts—it's a journey, a community, and the future unfolding before us. In this episode, we're not just discussing data; we're discovering its power to connect, transform, and lead the way in business and beyond.Joe DosSantos' Data Saga: Journey through Joe's storied career, tracing his steps from the foundational era of data warehouses to the cutting edge of big data. It's a narrative that's not just about personal growth but about the evolving story of data itself.Data Strategy Reimagined: Delve into a discussion that rethinks data from a static element to a dynamic business accelerator. Joe enlightens us on aligning data strategy with overarching business goals, crafting a blueprint for a resilient and impactful data architecture.Building Data Communities: An intriguing facet of the conversation is Joe's emphasis on community in the data sphere. Learn how fostering a collaborative data community can lead to innovative solutions, greater efficiency, and a shared sense of purpose in leveraging data for business success.Revolution of Data Products: Explore the transformative concept of data products with Joe. Understand how data, when treated as a product, can transcend traditional use-cases to become a reusable and versatile asset, integral to the fabric of an organization.AI as a Strategic Ally: Uncover the synergies between AI and data strategy. Joe shares his expertise on employing AI not just as a tool but as a driving force, underscoring the crucial role of data in maximizing AI's transformative power.Visions of a Data-Driven Future: Confront the challenges of aligning technology, data, and business needs. Joe offers his foresight on trends like the advent of data marketplaces and the critical role of data product managers in the near future.Crafting Tomorrow's Data Leaders: The episode wraps up with Joe imparting valuable advice for the next generation of data professionals. It's a blend of business acumen, cloud technology understanding, governance skills, and a touch of design thinking, all essential for navigating the data-driven world of tomorrow.It is a journey through the evolving landscape of data, AI, and community building. Manish, Chris, and Joe DosSantos guide us through an enlightening exploration, revealing how data strategy is not just about technology, but about people, collaboration, and shared vision. Tune in for an episode that's as educational as it is inspiring, perfect for anyone keen to understand the true potential of data in shaping our future.

The Evolution of Data ManagementThe podcast begins with an engaging retrospective on the evolution of data management. From the early days of simple relational databases to the era of data warehouses, and the advent of cloud technologies and Hadoop systems, the discussion sets the stage for understanding the progression and sophistication of data systems over time.The hosts do a stellar job demystifying these often-confused terms, outlining how each framework is designed to address the unique challenges faced by organizations in managing vast, varied data sets. This segment is crucial for anyone looking to grasp the nuances of these contemporary data management approaches.The Socio-Technical ChallengeA fascinating aspect of the podcast is its focus on the socio-technical challenges in data management. It’s a reminder that effective data management is not just about the technology but also about the people, processes, and cultural shifts required. The episode dives into the dynamics between data producers and consumers and the cultural transformation necessary for integrated data management.Data as a ProductA key paradigm shift discussed is the concept of treating data as a product. This approach, the podcast explains, can significantly enhance data quality, understanding, and usability. The idea of a data product lifecycle paves the way for more structured, efficient data management practices.Master Data Management (MDM) in Data MeshThe podcast also sheds light on the role of Master Data Management (MDM) within the data mesh framework. The hosts discuss how MDM can improve data quality and provide a unified view of entity data, which is essential for effective analytics and reporting. This insight is particularly valuable for organizations aiming to optimize their data processes.Discoverability and GovernanceTouching on the importance of discoverability and governance within a data mesh architecture, the podcast emphasizes how data should be easily discoverable and accessible within a governance framework. This ensures authorized access and use, maintaining data integrity and security.Real-World Examples and Implementation ChallengesThroughout the episode, real-world examples, particularly from the retail sector, are used to illustrate the discussed concepts. The hosts also address the challenges of implementing a data mesh framework, offering valuable insights for organizations embarking on this journey.The "Data Mesh - Ansh & Chris" podcast episode is more than just a discussion; it's a comprehensive guide through the intricacies of modern data management. For anyone involved in data architecture, this episode is a treasure trove of insights, shedding light on the practicalities and philosophies of data mesh in today's data-driven world.

Join our hosts, Chris Detzel and Ansh Kanwar, as they dissect the breakout year for generative AI and its profound impact on automating traditional manual tasks, the nuanced socio-technical revolution brought on by data mesh, and the intricate challenges of data unification in large corporations. We uncover how these trends are not just shaping our data ecosystems but also demanding a new caliber of governance, efficiency, and innovation. Whether it's redefining customer interaction through trusted data layers or enabling seamless operational processes with advanced AI models, this episode promises to arm you with the knowledge to supercharge your data journey. Tune in to stay ahead in the fast-evolving world of data management.Check out the mentioned reports in the Podcast: The state of AI in 2023: Generative AI’s breakout yearThe economic potential of generative AI: The next productivity frontier