"Can we use AI for that?" is a question we've all heard by now. But should we? If yes, what type of AI fits, and what impacts should be considered? The regulatory landscape complicates matters with laws on data, AI technology, and ESG impacts, to name a few. Attend this session to learn five foundational steps to address in every AI project. While compliance isn't guaranteed with these steps, failure is likely without them.

Come together for a discussion with peers to discuss best practices and challenges around overcoming AI challenges for enterprises in the Pulic Sector. Peer Meetups are networking sessions that allow you to connect and share with a small group of your peers, without Gartner facilitation. Please make every effort to attend your Peer Meetup as other attendees will be looking forward to meeting with you.

Analytics is experiencing another monumental change. Just as visual drag and drop BI tools and augmented insights led to changes in analytics delivery, we now experience conversational interfaces, automated workflows and AI agents that cause us to rethink how analytics will be done. Join this session to learn the new technologies that are making an impact and how this will affect plans for future investment in analytics tools, platforms and solutions.

The data landscape is rapidly evolving, with the rise of data marketplaces, AI, and self-service data access creating new data security and governance challenges. Now more than ever, data teams must quickly and constantly adapt their strategies to ensure data remains secure, compliant, and trustworthy while fostering innovation and data-driven decision making.

How does a global luxury brand ensure a seamless, data-driven experience across channels? Join us to learn first-hand about a leading retailer’s MDM journey and how Tamr helped unify and improve their customer data at scale. We’ll discuss the challenges of legacy data, the impact of AI-native data mastering, and the tangible business benefits of a modern MDM approach. Learn how the company built a trusted data foundation to enhance personalization, streamline operations, and drive growth in a competitive market.

UK Power Networks will share how they extracted data from century-old handwritten and printed archives. Using FME coupled with AI, UKPN was able to automate a task turning a multi-year effort into days. See how All-Data, Any-AI Integration can be used to unlock new insights, drive efficiency, and accelerate innovation.

Fragmented data environments block innovation and slow decision-making. Learn how Merck overcame these challenges by implementing lean data governance and automated data discovery to streamline access across complex systems. Daniel Stöckel, Merck’s Global Head of Data & AI Product Portfolio, shares real-world R&D and Finance use cases, including data products and metadata management. Actian‘s CPO Guillaume Bodet will then present a vision for AI-powered data federation and a curated, self-service data ecosystem that accelerates innovation enterprise-wide.

Engineering knowledge is often trapped in silos, limiting innovation. Fast adoption of GenAI with an integrated approach unlocks and scales knowledge, creating a competitive edge.

This session explores how AI accelerates decision-making, streamlines knowledge management, and drives business impact.
Discover real-world use cases and strategies to stay ahead with scalable, AI-driven solutions that seamlessly integrate into enterprise workflows, ensuring faster adoption and maximum value.

With over 45 million connections across broadband, mobile, TV, and home phone, VMO2 is on a mission to upgrade the UK. Hard at work making their data trustworthy and accessible, their data team is now ensuring nearly 16,000 colleagues can make the most of it.
Join Mauro Flores, EVP, Data Democratisation at VMO2, and Prukalpa Sankar, Co-founder of Atlan, for a behind-the-scenes look at how they’ve transformed Data Governance into a business enabler, taking an AI- and domain-based approach to build a single definition of trustworthy data, and unleashing it for end-users through data products.

Institutions face fragmented data ecosystems that slow AI adoption, increase compliance risks, and complicate governance. Without clear metadata lineage, trust, explainability, and operational efficiency suffer.
In this session, we demonstrate how automated lineage and metadata intelligence:
- Map end-to-end lineage across hybrid environments
- Ensure AI readiness with traceable, high-quality metadata.
- Simplify compliance with real-time data visibility.
- Empower teams with accessible data, avoiding IT bottlenecks.
Discover how institutions turn metadata into a competitive advantage.

SAP and Databricks recently announced their landmark partnership to simplify customer’s data landscapes. Join us to see how we are coming together to shift how applications and data platforms work together. From curated SAP data products to zero-copy integration, learn how SAP Business Data Cloud with SAP Databricks enables your data architecture of choice to deliver insights your business can trust.

Melody Santos has successfully transitioned from a physical therapist to a revenue analyst in a few months! In this episode, she shares three main steps that expedited her journey, her struggles with imposter syndrome, and offers valuable advice for anyone looking to pivot into a data career. 💌 Join 10k+ aspiring data analysts & get my tips in your inbox weekly 👉 https://www.datacareerjumpstart.com/newsletter 🆘 Feeling stuck in your data journey? Come to my next free "How to Land Your First Data Job" training 👉 https://www.datacareerjumpstart.com/training 👩‍💻 Want to land a data job in less than 90 days? 👉 https://www.datacareerjumpstart.com/daa 👔 Ace The Interview with Confidence 👉 https://www.datacareerjumpstart.com/interviewsimulator ⌚ TIMESTAMPS 00:00 - Introduction 04:16 - Melody's Google Data Analytics Certificate Experience 06:41 - Job Application Challenges 15:43 - Landing the Charge Integrity Analyst Job 23:16 - Advice for Career Changers 🔗 CONNECT WITH MELODY 🤝 LinkedIn: https://www.linkedin.com/in/melodyusantos/ 🔗 CONNECT WITH AVERY 🎥 YouTube Channel: https://www.youtube.com/@averysmith 🤝 LinkedIn: https://www.linkedin.com/in/averyjsmith/ 📸 Instagram: https://instagram.com/datacareerjumpstart 🎵 TikTok: https://www.tiktok.com/@verydata 💻 Website: https://www.datacareerjumpstart.com/ Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

Organizations can face many challenges in operationalizing D&A and AI strategies. In this session, we will discuss how to capitalize on value-based opportunities, engage with stakeholders and get to what matters.

Data governance is essential for every organisation—ensuring appropriate use of data and maximising its value. Done right, it doesn’t hold us back—it helps tackle collective challenges, especially within large, complex institutions.
James Benford will explore the contribution of data governance across three dimensions: aligning around a cohesive strategy, guiding data and information management, and enabling innovation through AI.
James will share learnings from the Bank of England’s evolving approach. A key lesson: viewing governance as the lever through which we shape our collective future—supported by culture, guided by humility, and built on trust.

Data and analytics leaders expect their data and analytics investments to deliver business results. But unless they address data, analytics and AI risk, their initiatives will fail, leading to higher business risk exposure. This session will help D&A leaders target three key areas where better data and analytics risk practices will yield better business results.

Join us for this roundtable, tailored for Black and Brown technology leaders and open to all attendees, to explore the impact of GenAI on the workforce and underrepresented talent. As AI continues to shape the future of work, the high quality of diverse thought and talent holds both the promise of inclusivity and the hope of overcoming perpetuating biases. Together we’ll discuss how AI can be a double-edged sword — potentially amplifying existing inequalities and amplifying how diverse talent is highly qualified talent overall

The enormous potential business value of AI is not going to materialize spontaneously. AI leaders should guide their organization toward an era in which AI is not only creating tangible business value but goes beyond to become a critical competitive differentiator and industry disruptor.

More than 50% of generative AI projects fail. This session will help data & analytics leaders learn the common causes of failures and understand best practices to mitigate those failures and scale AI across the enterprise.

AI is having a huge impact, but is not the only thing with societal, technological, and organizational implications driving change in data and analytics. We examine trends in areas such as complexity, trust, and empowerment facing leaders and teams as they make decisions in all aspects of their bet-the-business D&A strategy.

The like button has transformed how we interact online, becoming a cornerstone of digital engagement with over 7 billion clicks daily. What started as a simple user interface solution has evolved into a powerful data collection tool that companies use to understand customer preferences, predict trends, and build sophisticated recommendation systems. The data behind these interactions forms what experts call the 'like graph' - a valuable network of connections that might be one of your company's most underutilized assets. Bob Goodson is President and Founder of Quid, a Silicon Valley–based company whose AI models are used by a third of the Fortune 50. Before starting Quid, he was the first employee at Yelp, where he played a role in the genesis of the like button and observed firsthand the rise of the social media industry. After Quid received an award in 2016 from the World Economic Forum for “Contributions to the Future of the Internet,” Bob served a two-year term on WEF’s Global Future Council for Artificial Intelligence & Robotics. While at Oxford University doing graduate research in language theory, Bob co-founded Oxford Entrepreneurs to connect scientists with business-minded students. Bob is co-author of a new book, Like: The Button That Changed the World, focussed on the origins of the ubiquitous Like Button in social media. In the episode, Richie and Bob explore the origins of the like button, its impact on user interaction and business, the evolution of social media features, the significance of relational data, and the future of social networks in the age of AI, and much more. Links Mentioned in the Show: Bob’s book—Like: The Button That Changed the WorldConnect with BobCourse: Analyzing Social Media Data in PythonRelated Episode: How I Nearly Got Fired For Running An A/B Test with Vanessa Larco, Former Partner at New Enterprise AssociatesRewatch sessions from RADAR: Skills Edition New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business