Every organization today is exploring generative AI to drive value and push their business forward. But a common pitfall is that AI strategies often don’t align with business objectives, leading companies to chase flashy tools rather than focusing on what truly matters. How can you avoid these traps and ensure your AI efforts are not only innovative but also aligned with real business value?  Leon Gordon, is a leader in data analytics and AI. A current Microsoft Data Platform MVP based in the UK, founder of Onyx Data. During the last decade, he has helped organizations improve their business performance, use data more intelligently, and understand the implications of new technologies such as artificial intelligence and big data. Leon is an Executive Contributor to Brainz Magazine, a Thought Leader in Data Science for the Global AI Hub, chair for the Microsoft Power BI – UK community group and the DataDNA data visualization community as well as an international speaker and advisor. In the episode, Adel and Leon explore aligning AI with business strategy, building AI use-cases, enterprise AI-agents, AI and data governance, data-driven decision making, key skills for cross-functional teams, AI for automation and augmentation, privacy and AI and much more.  Links Mentioned in the Show: Onyx DataConnect with LeonLeon’s Linkedin Course - How to Build and Execute a Successful Data StrategySkill Track: AI Business FundamentalsRelated Episode: Generative AI in the Enterprise with Steve Holden, Senior Vice President and Head of Single-Family Analytics at Fannie MaeRewatch sessions from RADAR: AI 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

Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away! Thomas Gresco shares his journey from being a high school math teacher to landing a role as a Reimbursement Analyst in less than 70 days. He discusses the struggles of job hunting, the importance of a strong portfolio and network, and how following the SPN method transformed his career. 💌 Join 30k+ 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 ⌚ TIMESTAMPS 04:10 - The Job Hunt 14:00 - The Interview Experience 20:18 - Life as an Analyst 🔗 CONNECT WITH THOMAS https://www.linkedin.com/in/thomas-gresco/ 🔗 CONNECT WITH AVERY 🎥 YouTube Channel 🤝 LinkedIn 📸 Instagram 🎵 TikTok 💻 Website 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

Our Keynote Panel brings together three Gold Medal Olympians to discuss how they overcame personal challenges and use data to achieve success at the highest levels of sport.

Moderated by Clare Balding, the conversation will delve into how data analytics has transformed their training and competition strategies. They’ll share insights on how data is used across different sports to optimize performance and gain a competitive edge. The discussion will highlight the balance between analytical approaches and the instinctive, experiential aspects of competition.

Attendees will hear inspiring stories of triumph over adversity and gain a deeper understanding of how data is driving success in elite sports today. 

This session offers valuable perspectives on the future of sports analytics and its impact on athletic performance.

PrimaryBid is on a mission to improve the global IPO market by allowing frictionless participation to more investors than ever before. Central to achieving this mission is the ability to deliver real-time data analytics to a range of audiences. Join us as we discuss our journey to building a best-in-class embedded analytics solution. From dissecting what it means to be best-in-class in 2024, through to identifying constraints and choosing the right technology partners - we?ll provide a how-to, and how-not-to, on creating a premium analytics experience. In an industry where speed, aesthetics, reliability, security, and governance are paramount, discover how we optimize across all dimensions. The session includes a comprehensive overview of our progress to date and a live demonstration showcasing our product in action.

In this insightful fireside chat, Yusen Logistics shares their transformative journey towards embedding a data-driven culture across their organisation, emphasising the pivotal role of analytics in their operational success. The discussion highlights the critical milestones, tools, and strategies that empowered Yusen to evolve from an initial finance automation use case to a company-wide data-driven powerhouse.

Key discussion points include how Yusen:

• Went from a centralised data analytics team to a decentralised model that empowered wider departments.

• Reduced reliance on IT to speed up decision making and scale across the organisation

• Leveraged Alteryx as a catalyst for change, gaining buy in from senior stakeholders and proving value quickly.

Telenet, an affiliate of Liberty Global, is a market leading telecom known for its continuous customer-centric innovation using AI and data analytics. As an early adopter of Snowflake, they use data to drive cutting edge innovation such as hyper personalized customer services and privacy compliant data sharing with networking and broadcast partners. To further spur innovation, Telenet wants to make it easier for analysts and AI engineers to find and access data. In this session you will learn how Telenet is using Snowflake, AWS and Raito to give data analysts and AI engineers access to data in a fast and secure way.

While digital transformation has made data essential for growing and improving your business, influencing change still means winning your coworkers' and executives' hearts and minds. This requires more than dashboards and spreadsheets. In this session, Adam Greco, an analytics industry veteran, will share real-world stories of how organisations like Salesforce and others have combined analytics data and storytelling to influence change.

Adam will share real-world stories of how organisations like Salesforce have combined analytics data and storytelling to influence change.

Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away! Breaking into data is hard. But it doesn't have to be if you CAREER HACK. Simply find someone's journey you can relate to, and reverse-engineer their steps. 💌 Join 30k+ 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 🔗 CONNECT WITH AVERY 🎥 YouTube Channel 🤝 LinkedIn 📸 Instagram 🎵 TikTok 💻 Website 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

Logical representations of data rather than a deep technical understanding of a database or dataset are key for the democratisation of, and ease of access to, data going forward. In this session, Steve will give his thoughts on what is driving this need and how organisations can approach it in a pragmatic way, focusing on the links between good data governance, good data tech, good data analytics and ultimately good data-led decision making.

Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away!  There's one thing that will kill a data career analyst job hunt faster than anything else...and it's really easy to do. Please don't do it! 💌 Join 30k+ 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 (01:39) Solution #1 (06:42) Solution #2 🔗 CONNECT WITH AVERY 🎥 YouTube Channel 🤝 LinkedIn 📸 Instagram 🎵 TikTok 💻 Website

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

Mergulhamos no universo da Inteligência Artificial e da liderança de dados no Brasil. Para isso, convidamos os principais lideres do conselho do evento AI & Data Leaders — o maior encontro entre CDAOs, tomadores de decisão em AI e Data Analytics do Brasil-, para discutir os desafios, oportunidades dessa área em constante evolução e como as empresas estão utilizando a IA para impulsionar seus negócios.

Neste episódio do Data Hackers — a maior comunidade de AI e Data Science do Brasil-, conheçam Carina Ameijeiras — Executiva de Data & Analytics e atuante no conselho AI Data Leaders; Daniel Sérman — Diretor Executivo da TIM e membro do Conselho AI Data Leaders.

[Embedar_Episódio]

Lembrando que você pode encontrar todos os podcasts da comunidade Data Hackers no Spotify, iTunes, Google Podcast, Castbox e muitas outras plataformas. Caso queira, você também pode ouvir o episódio aqui no post mesmo!

Nossa Bancada Data Hackers:

Paulo Vasconcellos — Co-founder da Data Hackers e Principal Data Scientist na Hotmart.

Monique Femme — Head of Community Management na Data Hackers

Gabriel Lages — Co-founder da Data Hackers e Data & Analytics Sr. Director na Hotmart.

In this episode, Rachael Finch shares her incredible journey of transitioning from a night shift quality assurance analyst at an alcohol manufacturing company to a fully remote business intelligence analyst at Optum Healthcare within just 95 days. Rachael, a biology major, leveraged the SPN Method from The Data Analytics Accelerator to break into the data industry. Tune in to hear her inspiring story and practical advice for those looking to make a similar career shift. 06:25 Networking and the SPN Method 13:40 Interview Process and Challenges 19:34 Landing the Job and Celebrating Success 23:32 Reflections and Future Plans 29:12 Final Thoughts and Advice 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

This revised and updated 8th edition retains its focus on processes that require understanding, have variation, must be properly controlled, have a capability, and need improvement – as reflected in the five sections of the book.

In this episode, we explore the incredible story of Zach Wilson, a data engineer who skyrocketed his annual salary from $30,000 to $500,000 in just five years. Zach shares his experiences working for top tech companies like Facebook, Netflix, and Airbnb and details his transformation from a struggling drug user to a highly successful engineer. Connect with Zach Wilson : 🤝 Follow on Linkedin ▶️ Subscribe on YouTube 📩 Subscribe to Newsletter 🎒 Learn About Bootcamp Connect with Avery 📊 Come to my next free “How to Land Your First Data Job” training⁠ ⁠🏫 Check out my 10-week data analytics bootcamp ⁠📩 Get my weekly email with helpful data career tips⁠ ⁠🧙‍♂️ Ace the Interview with Confidence Timestamps: (4:29) Key to Career Success (10:39) Is Job Hopping Worth It? (18:16) Data Analyst to Data Engineer (22:19) The Rise of Analytics Engineers (32:21) Zach’s Upbringing (37:32) The Secret to Growth Connect with Avery: 📺 Subscribe on YouTube 🎙Listen to My Podcast 👔 Connect with me on LinkedIn 📸 Instagram 🎵 TikTok 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

Large language models (LLMs) and generative AI are rapidly changing the healthcare industry. These technologies have the potential to revolutionize healthcare by improving the efficiency, accuracy, and personalization of care. This practical book shows healthcare leaders, researchers, data scientists, and AI engineers the potential of LLMs and generative AI today and in the future, using storytelling and illustrative use cases in healthcare. Authors Kerrie Holley, former Google healthcare professionals, guide you through the transformative potential of large language models (LLMs) and generative AI in healthcare. From personalized patient care and clinical decision support to drug discovery and public health applications, this comprehensive exploration covers real-world uses and future possibilities of LLMs and generative AI in healthcare. With this book, you will: Understand the promise and challenges of LLMs in healthcare Learn the inner workings of LLMs and generative AI Explore automation of healthcare use cases for improved operations and patient care using LLMs Dive into patient experiences and clinical decision-making using generative AI Review future applications in pharmaceutical R&D, public health, and genomics Understand ethical considerations and responsible development of LLMs in healthcare "The authors illustrate generative's impact on drug development, presenting real-world examples of its ability to accelerate processes and improve outcomes across the pharmaceutical industry." --Harsh Pandey, VP, Data Analytics & Business Insights, Medidata-Dassault Kerrie Holley is a retired Google tech executive, IBM Fellow, and VP/CTO at Cisco. Holley's extensive experience includes serving as the first Technology Fellow at United Health Group (UHG), Optum, where he focused on advancing and applying AI, deep learning, and natural language processing in healthcare. Manish Mathur brings over two decades of expertise at the crossroads of healthcare and technology. A former executive at Google and Johnson & Johnson, he now serves as an independent consultant and advisor. He guides payers, providers, and life sciences companies in crafting cutting-edge healthcare solutions.

Dive into the world of data analysis with the Polars Cookbook. This book, ideal for data professionals, covers practical recipes to manipulate, transform, and analyze data using the Python Polars library. You'll learn both the fundamentals and advanced techniques to build efficient and scalable data workflows. What this Book will help me do Master the basics of Python Polars including installation and setup. Perform complex data manipulation like pivoting, grouping, and joining. Handle large-scale time series data for accurate analysis. Understand data integration with libraries like pandas and numpy. Optimize workflows for both on-premise and cloud environments. Author(s) Yuki Kakegawa is an experienced data analytics consultant who has collaborated with companies such as Microsoft and Stanford Health Care. His passion for data led him to create this detailed guide on Polars. His expertise ensures you gain real-world, actionable insights from every chapter. Who is it for? This book is perfect for data analysts, engineers, and scientists eager to enhance their efficiency with Python Polars. If you are familiar with Python and tools like pandas but are new to Polars, this book will upskill you. Whether handling big data or optimizing code for performance, the Polars Cookbook has the guidance you need to succeed.

Learn three powerful resume hacks to navigate the applicant tracking system (ATS) and significantly increase your chances of landing a data job. Discover how changing your job titles, editing your job experiences, and creatively enhancing bullet points on your resume can help you get noticed in an oversaturated job market. 📊 Come to my next free “How to Land Your First Data Job” training⁠ ⁠🏫 Check out my 10-week data analytics bootcamp ⁠📩 Get my weekly email with helpful data career tips⁠ ⁠🧙‍♂️ Ace the Interview with Confidence Timestamps: 01:21 Hack #1 05:12 Hack #2 07:50 Hack #3 Connect with Avery: 📺 Subscribe on YouTube 🎙Listen to My Podcast 👔 Connect with me on LinkedIn 📸 Instagram 🎵 TikTok 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

Dive into DuckDB and start processing gigabytes of data with ease—all with no data warehouse. DuckDB is a cutting-edge SQL database that makes it incredibly easy to analyze big data sets right from your laptop. In DuckDB in Action you’ll learn everything you need to know to get the most out of this awesome tool, keep your data secure on prem, and save you hundreds on your cloud bill. From data ingestion to advanced data pipelines, you’ll learn everything you need to get the most out of DuckDB—all through hands-on examples. Open up DuckDB in Action and learn how to: Read and process data from CSV, JSON and Parquet sources both locally and remote Write analytical SQL queries, including aggregations, common table expressions, window functions, special types of joins, and pivot tables Use DuckDB from Python, both with SQL and its "Relational"-API, interacting with databases but also data frames Prepare, ingest and query large datasets Build cloud data pipelines Extend DuckDB with custom functionality Pragmatic and comprehensive, DuckDB in Action introduces the DuckDB database and shows you how to use it to solve common data workflow problems. You won’t need to read through pages of documentation—you’ll learn as you work. Get to grips with DuckDB's unique SQL dialect, learning to seamlessly load, prepare, and analyze data using SQL queries. Extend DuckDB with both Python and built-in tools such as MotherDuck, and gain practical insights into building robust and automated data pipelines. About the Technology DuckDB makes data analytics fast and fun! You don’t need to set up a Spark or run a cloud data warehouse just to process a few hundred gigabytes of data. DuckDB is easily embeddable in any data analytics application, runs on a laptop, and processes data from almost any source, including JSON, CSV, Parquet, SQLite and Postgres. About the Book DuckDB in Action guides you example-by-example from setup, through your first SQL query, to advanced topics like building data pipelines and embedding DuckDB as a local data store for a Streamlit web app. You’ll explore DuckDB’s handy SQL extensions, get to grips with aggregation, analysis, and data without persistence, and use Python to customize DuckDB. A hands-on project accompanies each new topic, so you can see DuckDB in action. What's Inside Prepare, ingest and query large datasets Build cloud data pipelines Extend DuckDB with custom functionality Fast-paced SQL recap: From simple queries to advanced analytics About the Reader For data pros comfortable with Python and CLI tools. About the Authors Mark Needham is a blogger and video creator at @‌LearnDataWithMark. Michael Hunger leads product innovation for the Neo4j graph database. Michael Simons is a Java Champion, author, and Engineer at Neo4j. Quotes I use DuckDB every day, and I still learned a lot about how DuckDB makes things that are hard in most databases easy! - Jordan Tigani, Founder, MotherDuck An excellent resource! Unlocks possibilities for storing, processing, analyzing, and summarizing data at the edge using DuckDB. - Pramod Sadalage, Director, Thoughtworks Clear and accessible. A comprehensive resource for harnessing the power of DuckDB for both novices and experienced professionals. - Qiusheng Wu, Associate Professor, University of Tennessee Excellent! The book all we ducklings have been waiting for! - Gunnar Morling, Decodable