How is Sephora using data to create personalized experiences that customers love? Join Cindi Howson and Manbir Paul, VP of Engineering, Data Insights & MarTech at Sephora, as they explore the role of data and AI in understanding customer needs, predicting preferences, and delivering impactful moments. Key Moments: Micro-Moments that Matter (3:30): Sephora leverages data to create impactful moments for customers, like sending a timely reminder to a traveler about their moisturizer.Modern Data & AI Stack (5:00): Manbir discusses Sephora’s best-of-breed data and AI stack, spanning cloud data platform, BI solution, cataloging, and machine learning democratization.The Power of the Semantic Layer (7:30): The semantic layer is crucial for enabling meaningful data discovery and governance. Sephora's investment in ThoughtSpot was driven by the need to enhance their semantic layer and drive intelligence in their BI space.Collaborative Data Governance (10:00): Sephora fosters a collaborative approach to data governance, with data stewards playing a key role. They identify individuals who are subject matter experts in their areas and are passionate about data to help drive governance and enrichment.Unlearning and Relearning (16:30): The challenge of keeping up with the evolving data landscape requires unlearning old practices and embracing new ones. Manbir highlights the importance of giving individuals the opportunity to look at the changing landscape from a new lens and empowering them to drive transformation.The Importance of Continuous Learning (20:30): Manbir acknowledges the challenge of balancing learning with delivering results, but stresses the importance of continuous learning in a rapidly evolving field. She notes that individuals are often willing to go above and beyond if there is a learning opportunity.Building High-Performing Teams (22:30): Manbir discusses the nuances of creating a high-performing, nimble team that can adapt to change and drive innovation. He mentions the importance of understanding the nuances that are important in transforming a team into a high-performing one.Key Quotes:"The intimate details, we always talk about getting closer to our clients. We want to experience our clients. I feel the intimate details that data gives you, getting your clients so close to you, is a very different lens to look at data from. It is a gift of feedback that the clients give to you or your consumers give to you in terms of data.”  - Manbir Paul"Democratizing these technologies is key to our tech stack. We have a multi-cloud strategy to capture the best tools. Tools, plus our BI investment, help us. ThoughtSpot was chosen for meaningful data insights, reaching clients where they interact with data and enhancing our BI intelligence." - Manbir Paul"We want to make sure that there are tools that help us enable scaled implementations in driving personalization, and that's where our Databricks platform enables us doing that."  - Manbir PaulMentionsFarmacy: Honey Halo Ultra-Hydrating Ceramide MoisturizerThe Geek Way by Andrew McAfeeGuest Bio Manbir PaulManbir Paul is VP of Engineering, Data Insights & MarTech at Sephora. Prior to this, he served as global head of ML engineering at Levi Strauss & Co.As a proactive, results-driven technology leader specializing in the retail industry, Manbir's expertise lies not just in understanding the industry's complexities, but also in harnessing the transformative power of Data and AI. With a passion deeply rooted in technological innovation, his most recent endeavors have involved leading in the realms of Data and AI to develop, scale, and implement solutions that amplify business growth Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

Join host Cindi Howson as she dives into the critical topic of diversity and inclusion in the data and AI space with Roisin McCarthy, founder of Women in Data UK, and Robin Sutara, Field CDO at Databricks. They discuss the challenges of recruiting and retaining diverse talent, the importance of male allies, and the role of AI in creating a more inclusive workforceKey Moments: The Power of Community: Building a Network for Women in Data: Roisin McCarthy shares the story behind founding Women in Data, inspired by her mother's advice to "put up or shut up." She highlights the organization's growth to 80,000 members in 120 countries and emphasizes the importance of male allies in achieving gender representation. (2:41)  From Apache Helicopters to Chief Data Officer: A Non-Traditional Journey: Robin Sutara shares her unique career path, starting with repairing Apache helicopters in the US Army and eventually becoming a CDO. She discusses the challenges she faced as a woman in tech and the importance of fixing systemic issues to achieve equity. (6:19)  The Talent Crunch: Addressing the Data Skills Gap: The conversation shifts to the shortage of qualified individuals in data and technology. Roisin McCarthy highlights the need for organizations to rethink their recruitment strategies and remove unnecessary barriers to entry. (11:31)  Closing the Pay Gap: A Shared Responsibility: Roisin and Robin discuss the persistent pay gap in the data industry and the risk of it widening further. They emphasize the importance of both individual and systemic action to achieve pay parity. (20:46)  Generative AI: A Double-Edged Sword for Recruiting: Roisin McCarthy shares a cautionary tale about the potential for bias in AI-generated job descriptions. She stresses the importance of human oversight and highlights Women in Data's work to develop technology that removes bias from job descriptions. (46:30)  The Future of Data and AI: Embracing Innovation and Inclusion: Robin Sutara expresses excitement about the potential of AI to simplify complex tasks and unlock the power of data. She emphasizes the importance of leveraging technology to innovate and create a more equitable and inclusive data workforce. (49:22)Key Quotes:"We simply do not have enough people coming into the industry. Regardless of gender, let's take that away. We do not have enough qualified individuals coming into the workplace in data and technology." - Roisin McCarthy   "We can't affect the change that this mission is so focused on reaching if we don't have everybody at the table." - Roisin McCarthy  "Hire talent that's not currently in the ecosystem, bring in people with a different perspective or a different experience or a different capability. You can teach them technology, right?" - Robin Sutara  "If I start 20% behind my male cohorts, doesn't matter how much you reward on meritocracy, I will never catch up." - Robin Sutara  "GenAI tech is there for so many things as to Robin's point to really take some of the heavy lifting out. But when we're looking to build inclusive teams, diverse, inclusive teams, I think that we just need a bit of a sense check and ensuring that we've got the human in the loop." - Roisin McCarthy  MentionsWomen in Data PodcastDatabricks BlogGuest Bios Roisin McCarthyAs a result of her own efforts, over two thousand people have moved into more satisfying roles and dozens of teams put together. Furthermore, she has managed a successful team of professional recruiters which, over the years, has placed thousands more. Today, she runs the successful recruitment firm, Datatech Analytics, and is the co-founder of the ground-breaking initiative, Women in Data UK. Over the past 19 years, McCarthy has been responsible for building some of the UK’s most cutting-edge data teams and has facilitated some of the most influential and successful careers in this sector, building relationships, influence and firm friendships along the way. McCarthy is seen as a thought-leader and an authority on careers, team development and talent acquisition in the field. Her unrivalled network of contacts, commitment to the data and analytics community and her unwavering passion for building strong, skilled teams is what makes her so unique.Robin SutaraFrom repairing Apache helicopters near the Korean DMZ to the corporate battlefield, Robin has demonstrated success in navigating the high stress, and sometimes combative, complexities of data-led transformations. She has consulted with hundreds of organisations on data strategy, data culture, and building diverse data teams. Robin has had an eclectic career path in technical and business functions with more than two decades in tech companies, including Microsoft and Databricks. She also has achieved multiple academic accomplishments from her juris doctorate to a masters in law to engineering leadership. From her first technical role as an entry-level consumer support engineer to her current role in the C-Suite, Robin supports creating an inclusive workplace and is the current chair of Women in Data North America Committee. She was also recognized in 2023 as a Top 20 Women in Data and Tech, as well as DataIQ 100 Most Influential.  Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

Join Chris Bruman, Dow's Chief Data and Analytics Officer, and Dan Futter, the Chief Commercial Officer, as they discuss the revolution of data in business. They delve into the hub-and-spoke model for data management, emphasizing its ability to balance governance with agility. The integrated data hub is unveiled as a game-changer, reducing data analysis time dramatically. They also stress the importance of data literacy and collaboration in enhancing customer experiences, making data a cornerstone of successful modern business.

Bartley Richardson, CTO of NVIDIA AI agentic software, shares his expertise in AI and cybersecurity development. He discusses the transformative power of agentic AI in customer service and workplace efficiency. The challenges of managing diverse data formats are explored, with Bartley emphasizing the need for tailored AI solutions for specific business problems. He provides insights into the future of AI and the importance of data literacy, while also reflecting on his own journey and inspirations in the tech field.

Cindi Howson hosts a captivating discussion with Matt Turck, a Partner at FirstMark Capital, Steve Nouri, CEO of GenAI Works, and Joe Reis, data engineering expert and author. They delve into the generative AI revolution, highlighting its impact and opportunities for businesses. Ethical considerations and future data science roles take center stage with Steve's insights. Joe emphasizes the necessity of upskilling in data teams and the evolution of data architecture. They even venture into playful predictions about sports, including Kylian Mbappé's record-breaking potential!

Discover the shift from a data-driven to a value-driven approach that empowers organizations. Learn how building data literacy can unlock collective intelligence and foster innovation. Explore the intersection of AI and data strategy, highlighting the importance of clean data. Understand the crucial role of responsible AI in healthcare and the need for ethical governance. This discussion features thought leaders emphasizing collaboration and the human aspects of technology in achieving impactful results.

Marni Baker Stein, Coursera’s Chief Content Officer, has a rich background in online education. In this conversation, she explores the ripple effects of Generative AI on upskilling and the pressing need for emotional intelligence as technology transforms workplaces. Marni highlights alarming trends like the dramatic rise in demand for AI skills and the gender gap in tech education. She emphasizes the urgency for individuals to proactively pursue new skills, alongside the role of data in personalizing learning experiences for enhanced outcomes.

Deepak Jose, Vice President of Data Sciences & Business Intelligence at Niagara Bottling, discusses his career transition from mechanical engineer to data leader. He emphasizes the necessity of a business problem-first mindset over a data-first approach. Deepak shares insights on the evolving role of AI in business, advocating for adaptable strategies rather than rigid capabilities. He stresses the importance of empathy and collaboration in leadership to truly solve organizational challenges. Personal reflections highlight the significance of family and work-life balance.

Dr. Gary Marcus, a prominent AI scientist and industry critic, shares his insights on the shortcomings of current AI systems. He stresses the urgent need for AI regulation, likening its importance to immigration and financial policies. Marcus challenges the hype around AI capabilities, arguing that true understanding of human intelligence remains elusive. Additionally, he highlights the global AI race and the imperative for international cooperation to ensure ethical governance of AI technologies.

Jeremy Kahn, an AI history expert, shares insights on the lessons learned from the Turing Test and cautions against deskilling due to technology. Sol Rashidi highlights the challenges of AI implementation, emphasizing the need for cultural and relevancy ROI alongside financial metrics. Bernard Marr discusses making AI understandable for society, addressing its impact on jobs and personalization in healthcare. The trio reflects on the balance of harnessing technology while promoting human collaboration and resilience.