In today's complex data & AI ecosystem, organizations prioritize crafting a data strategy designed to democratize access to data, to power their analytics engines. But how much of the data is truly usable? How do you rectify data gaps to ensure AI analytics and insights are grounded in reality without bias?

Referencing a collaboration between Women in Data® and the National Health Service (NHS) in the UK, in this session you will learn how a robust data strategy is critical to effect change and improve patient outcomes in the uniquely sensitive area of Healthcare.

Generative AI has had a wide range of uses, but some of its strongest use cases are in coding and programming. One of the companies that has been leading the way in AI-assisted programming has been GitHub with GitHub CoPilot. Many software engineering teams now have tools like CoPilot embedded into their workflows, but what does this mean for the future of programming? Kyle Daigle is the COO of GitHub, leading the strategic initiatives, operations, and innovation of the world's largest platform for software development and collaboration. With over 10 years of experience at GitHub, Kyle has a deep understanding of the needs and challenges of developers and the ecosystem they work in. In the episode, Adel and Kyle explore Kyle’s journey into development and AI, how he became the COO at GitHub, GitHub’s approach to AI, the impact of CoPilot on software development, how AI tools are adopted by software developers, the future of programming and AI’s role within it, the risks and challenges associated with the adoption of AI coding tools, the broader implications tools like CoPilot might have and much more.  Links Mentioned in the Show: GitHub CoPilotKyle on GitHub[Code Along] Pair Programming with GitHub Copilot[Course] GitHub ConceptsRelated Episode: What to Expect from AI in 2024 with Craig S. Smith, Host of the Eye on A.I PodcastRewatch sessions from RADAR: The Analytics 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

In this episode of The Diary of a CDO, Brian Paull, Chief Data & Analytics Officer and Executive VP at First Citizens Bank takes us on a journey through the evolution of the CDAO role over six years. He discusses how his responsibilities have changed, the efforts to enhance the understanding of the data team's function and value over time, and the delicate balance of delivering strategic business value and focusing on meeting regulatory requirements. Join us for a fascinating exploration of the dynamic world of data analytics in banking.

The data-to-insights journey is often slow and inefficient due to the friction between specialized tools and analytics skills. Join us to learn about the new natural language-driven and collaborative user experience of BigQuery. Explore how you can use natural language to navigate various stages of the analytics lifecycle including data discovery, pipeline building, processing, query composition, visualization, and more.

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Learn how to empower teams to speed development of the latest enterprise-grade innovations on Google Cloud Marketplace, from data analytics and generative AI to best-of-breed business applications. Discover features to help maintain real-time visibility and governance over your development and operations so you can mitigate shadow IT. You’ll hear from customers who have successfully grown their business and increased time-to-deployment.

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As an API-first and cloud-born platform, Looker has always been focused on providing developers with the tools to build scalable and unique data applications and embedded analytics experiences. Learn about the latest Looker Embedded product enhancements and about Create Music Group's journey to create amazing data products by partnering with Google Cloud.

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Your transactional data powers many applications – from Analytics to generative AI and interactive online systems. AlloyDB unifies all these workloads onto a single, high-performance platform to extend your real-time data. This session dives into two built-in features: AlloyDB AI and the Analytics Accelerator. We'll show the key technologies behind these features, including Google's fast vector search and the columnar engine that enables fast analytical queries, hybrid transaction, and analytics use cases. We’ll share how customers simplified their Analytical and gen AI apps with these two features.

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The key to maintaining a strong cloud security posture is to build from the start on a robust foundation of baseline security controls. Google Cloud’s Security Foundation provides recommended controls to common cloud adoption use cases, including infrastructure modernization, AI workloads, data analytics, and application modernization. In this session, you’ll learn how to start secure and stay secure in the cloud using the Security Foundation.

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Join us on Uber's journey to revolutionizing its data platform through Google Cloud. Discover how this migration has enhanced reliability, scalability, and analytics capabilities, showcasing the transformative power of Google Cloud in the ride-sharing industry. Join us for this Mini Talk at 'Meet the Experts, hosted by Google Cloud Consulting' at Expo. Seating is limited and on a first-come, first served basis; standing areas are available.

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Customers increasingly want to run multiple analytics and artificial intelligence (AI) use cases on a single copy of their data spanning lakes and warehouses. However, the fragmented nature of today’s analytics and AI systems poses limits with distributed data and metadata across different engines. Google Cloud now offers a unified storage and metadata experience. Learn how these new capabilities in BigQuery can help unify the data and data sharing across engines and how HCA Healthcare is using them within its data ecosystem.

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An embodiment of the enduring partnership between Google and SAP is RISE with SAP on Google Cloud. It enables companies to grow, scale, innovate, and sustain by unleashing the power of data and generative AI.

Attend this session to get an understanding of the DNA of RISE, how customers can use it as a springboard for business process excellence, superior decision-making through advanced data and analytics capabilities, and innovation through generative AI. Google Cloud customers will share their RISE success stories.

By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

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Learn how Google detects threats against Google Cloud to protect multicloud environments. Join this technical session and find out how industry-leading Mandiant threat intelligence combines with planet-scale data analytics to detect new and persistent threats to cloud environments, cloud identities, and cloud workloads. See how end-to-end investigation and case management support the right security outcomes.

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As AI adoption continues to grow at a rapid pace, data governance will become critical to ensure high-quality data powers AI models and large language models. Learn about the newest data governance innovations for Dataplex, including new integrations with Vertex AI, to help enterprises centrally discover, manage, monitor, and govern data across all data types to power analytics and AI at scale. Learn from leaders at Orange and Ford on how they are leveraging Dataplex to securely manage and govern their data in the AI era.

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In this episode of the Data Career Podcast, Avery chats with Josh Starmer, PhD, also known as StatQuest on YouTube, about the common fear of math and statistics, and how to overcome it.

They delve into Josh's journey from hating math to becoming a beloved statistics YouTuber, his unique approach to making complex statistical concepts accessible, and the importance of understanding one's learning style.

✉️ Discover what we wish we knew about landing the dream job

⁠🤖 Data Analytics Answers At Your Finger Tips

Connect with Josh Starmer PhD:

🤝 Follow on Linkedin

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📩 Get my weekly email with helpful data career tips

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🏫 Check out my 10-week data analytics bootcamp

Timestamps:

(01:54) - Learning Styles and Overcoming Math Fear (07:03) - The Illustrated Guide to Machine Learning: A Must-Read (21:55) - The Practicality of Statistics: Learning by Doing (28:07) - The Birth of StatQuest: Transforming Teaching with YouTube (33:27) - Learning in Public: The Impact of Sharing Knowledge

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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

Today enterprises are faced with a critical challenge of managing and monetizing vast amounts of data, demanding next level intelligence to realize AI driven insights. Join this session to learn how HCLTech is helping customers deliver advanced healthcare services and achieve regulatory compliance imperatives by integrating AI-driven analytics and GenAI to revolutionize data management. By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

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The carbon credit market has become a major avenue of climate change mitigation measures for individuals and businesses alike. Still, offsetting emissions through carbon removal mechanisms, from afforestation to agricultural practices, requires the reliable quantification of carbon stocks and verification of credits at a global scale. How does that work? Two rising startups in this sector, Perennial and Pachama, will discuss their approach to building scalable carbon analytics with Google Earth Engine and other Google Cloud products.

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This session explores new features of Serverless Spark and its integration with BigQuery. Discover how to harness the strengths of BigQuery with generative AI and open-source tools for flexible, powerful data processing and AI model development. With Spark in BigQuery, you'll benefit from:

Rapid Spark development in BigQuery's secure, scalable environment Flexible data processing: Choose local execution, Spark, or BigQuery *Streamlined Spark workflows with BigQuery's workflow orchestration

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In this executive debate, leading industry analyst Mike Ferguson welcomes leaders from premier software companies to discuss key topics in data management and analytics. Panelists will debate the impact of Generative AI, the implications of key industry trends, how best to deal with real-world customer challenges, how to build a modern data and analytics (D&A) architecture, data and AI governance and sharing, and on-the-horizon issues that companies should be planning for today.

Attendees will learn best practices for data and analytics implementation in a modern data-driven enterprise from seasoned executives and experienced analysts in a packed, unscripted, candid discussion.

Being a solitary data scientist can be lonely, whether in an embedded role or pioneering data science adoption within an organization. As you collaborate with individuals with varying business contexts, subject-matter expertise, and data backgrounds, there are strategies you can apply to set yourself up for success.

 In this session, Lauren Burke will demonstrate how solitary or siloed data scientists can thrive by gaining support and buy-in from key stakeholders. She'll cover the "road trip" strategy for identifying allies and finding quick wins to demonstrate value. She'll also discuss communicating the difference between traditional analytics and data science, as well as techniques for educating stakeholders and leveling up junior practitioners.

 Attendees will learn how to identify organizational needs and effectively scope projects, ensuring alignment with business objectives and defining clear measures of success while identifying opportunities to deliver incremental value. We'll cover the importance of creating end-user-focused documentation, where it should live, and how to use "SEO" to make your data science presence more visible. 

Many organizations strive toward data-driven, yet most of them struggle to get relevant insights to the right stakeholders in a timely manner, resulting in a reactive rather than proactive approach. Given a world of fast-paced data intake and customer expectations of real-time, drawing insights and making decisions faster are critical paths to building timely and contextual relevance with customers. Join Murli Buluswar, Head of Analytics - US Personal Bank at Citi, to learn how delivering preemptive solutions though leveraging next generation technologies increases operational efficiency. Murli will discuss how to use conversational Generative AI to increase democratization of intelligence and reduce the friction between data, insight, decision, and outcome.