The 'Tableau Certified Data Analyst Certification Guide' is your essential roadmap to mastering Tableau and excelling in the Tableau Data Analyst certification exam. From fundamentals to advanced techniques, you'll solidify your Tableau skills with clear explanations, practical exercises, and realistic mock exams. After reading, you'll be ready to take the next step in your data analytics career. What this Book will help me do Gain the ability to connect, clean, and transform data effectively using Tableau. Master Tableau's diverse calculation types for data analysis, ranging from basic to advanced. Develop skills to create visually impactful dashboards and data stories. Learn to publish and manage insights on Tableau Cloud for broader collaboration. Acquire the necessary competencies to confidently pass the Tableau Data Analyst certification exam. Author(s) Authors Harry Cooney and Daisy Jones bring a wealth of Tableau and data analytics experience. Harry is a certified Tableau expert with years of teaching and consulting, while Daisy applies her data analysis expertise across industries. Together, they combine practical insights and a supportive approach to guide you through Tableau mastery and certification. Who is it for? This book is ideal for aspiring and practicing data analysts eager to master Tableau. Beginners will appreciate the accessible approach to foundational concepts, while experienced users can deepen their expertise. If you're preparing for the Tableau Certified Data Analyst exam or looking to enhance your visual analytics capabilities, this book is for you.

Neste episódio mergulhamos no mundo da jornada e engenharia de dados e analytics com os especialistas do Itaú. Conheça as estratégias de dados que moldam o futuro do banco, além do compartilhamento de como é trabalhar em uma empresa onde a utilização intensiva de dados é essencial para tomar as melhores decisões.

Neste episódio do Data Hackers — a maior comunidade de AI e Data Science do Brasil-, conheçam as pessoas que desempenham um papel crucial na infraestrutura de dados do Itaú:

Priscila Militão — Data Engineer no Itaú Unibanco Vinicius Rio — Analista de Dados no Itaú Unibanco Thiago Panini — Analytics Engineer no Itaú Unibanco Carlos Vaccáro — Gerente de Analytics Engineering no Itaú Unibanco

Prepare-se para uma imersão no futuro dos dados no Itaú e descubra como essas mentes brilhantes estão moldando o panorama financeiro global com insights poderosos.

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:

Monique Femme — Head of Community Management na Data Hackers Paulo Vasconcellos — Co-founder da Data Hackers e Principal Data Scientist na Hotmart. Gabriel Lages — Co-founder da Data Hackers e Data & Analytics Sr. Director na Hotmart.

Referências:

Página da Vaga | Batalha de Dados — Engenharia de Dados e Analytics :https://vemproitau.gupy.io/jobs/7312897 Episódio Computação Quantica Itaú: https://medium.com/data-hackers/o-que-%C3%A9-computa%C3%A7%C3%A3o-qu%C3%A2ntica-data-hackers-podcast-84-0389a3b299ab

Unlock the full potential of DuckDB with 'Getting Started with DuckDB,' your guide to mastering data analysis efficiently. By reading this book, you'll discover how to load, transform, and query data using DuckDB, leveraging its unique capabilities for processing large datasets. Gain hands-on experience with SQL, Python, and R to enhance your data science and engineering workflows. What this Book will help me do Effectively load and manage various types of data in DuckDB for seamless processing. Gain hands-on experience writing and optimizing SQL queries tailored for analytical tasks. Integrate DuckDB capabilities into Python and R workflows for streamlined data analysis. Understand DuckDB's optimizations and extensions for specialized data applications. Explore the broader ecosystem of data tools that complement DuckDB's capabilities. Author(s) Simon Aubury and Ned Letcher are seasoned experts in the field of data analytics and engineering. With extensive experience in using both SQL and programming languages like Python and R, they bring practical insights into the innovative uses of DuckDB. They have designed this book to provide a hands-on and approachable way to learn DuckDB, making complex concepts accessible. Who is it for? This book is well-suited for data analysts aiming to accelerate their data analysis workflows, data engineers looking for effective tools for data processing, and data scientists searching for a versatile library for scalable data manipulation. Prior exposure to SQL and programming in Python or R will be beneficial for readers to maximize their learning.

Summary

Data lakehouse architectures have been gaining significant adoption. To accelerate adoption in the enterprise Microsoft has created the Fabric platform, based on their OneLake architecture. In this episode Dipti Borkar shares her experiences working on the product team at Fabric and explains the various use cases for the Fabric service.

Announcements

Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst is an end-to-end data lakehouse platform built on Trino, the query engine Apache Iceberg was designed for, with complete support for all table formats including Apache Iceberg, Hive, and Delta Lake. Trusted by teams of all sizes, including Comcast and Doordash. Want to see Starburst in action? Go to dataengineeringpodcast.com/starburst and get $500 in credits to try Starburst Galaxy today, the easiest and fastest way to get started using Trino. Your host is Tobias Macey and today I'm interviewing Dipti Borkar about her work on Microsoft Fabric and performing analytics on data withou

Interview

Introduction How did you get involved in the area of data management? Can you describe what Microsoft Fabric is and the story behind it? Data lakes in various forms have been gaining significant popularity as a unified interface to an organization's analytics. What are the motivating factors that you see for that trend? Microsoft has been investing heavily in open source in recent years, and the Fabric platform relies on several open components. What are the benefits of layering on top of existing technologies rather than building a fully custom solution?

What are the elements of Fabric that were engineered specifically for the service? What are the most interesting/complicated integration challenges?

How has your prior experience with Ahana and Presto informed your current work at Microsoft? AI plays a substantial role in the product. What are the benefits of embedding Copilot into the data engine?

What are the challenges in terms of safety and reliability?

What are the most interesting, innovative, or unexpected ways that you have seen the Fabric platform used? What are the most interesting, unexpected, or challenging lessons that you have learned while working on data lakes generally, and Fabric specifically? When is Fabric the wrong choice? What do you have planned for the future of data lake analytics?

Contact Info

LinkedIn

Parting Question

From your perspective, what is the biggest gap in the tooling or technology for data management today?

Closing Announcements

Thank you for listening! Don't forget to check out our other shows. Podcast.init covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast helps you go from idea to production with machine learning. Visit the site to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email [email protected] with your story.

Links

Microsoft Fabric Ahana episode DB2 Distributed Spark Presto Azure Data MAD Landscape

Podcast Episode ML Podcast Episode

Tableau dbt Medallion Architecture Microsoft Onelake ORC Parquet Avro Delta Lake Iceberg

Podcast Episode

Hudi

Podcast Episode

Hadoop PowerBI

Podcast Episode

Velox Gluten Apache XTable GraphQL Formula 1 McLaren

The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA Sponsored By: Starburst:

This episode is brought to you by Starburst - an end-to-end data lakehouse platform for data engineers who are battling to build and scale high quality data pipelines on the data lake. Powered by T

The Inside Economics podcast welcomes Jason Dorsey to talk about the generations that characterize the American population. The conversation takes up what event(s) define each generation, from 9/11 for the Millennials to COVID for Gen Z, and then turns to each generation’s traits and behaviors. The podcast was generationally well-balanced, with Mark the aging Boomer, Marisa and Cris the skeptical Xers, and Jason the creative Millennial.    Guest: Jason Dorsey - President of Cener for Generational Kinetics For more on Jason Dorsey:  LinkedIn: @JasonDorsey  Instagram: @Jason_Dorsey  The Center for Generational Kinetics    JasonDorsey.com     Hosts: Mark Zandi – Chief Economist, Moody’s Analytics, Cris deRitis – Deputy Chief Economist, Moody’s Analytics, and Marisa DiNatale – Senior Director - Head of Global Forecasting, Moody’s Analytics Follow Mark Zandi on 'X' @MarkZandi, Cris deRitis on LinkedIn, and Marisa DiNatale on LinkedIn      

Questions or Comments, please email us at [email protected]. We would love to hear from you.    To stay informed and follow the insights of Moody's Analytics economists, visit Economic View.

A lot of Data Analysts and Data Scientists are worried about how AI will impact their careers and the future of the industry. Is AI coming for our jobs? Or is this just another example of new technology that can make us more effective? In this episode, YouTube's Alex The Analyst will walk you through the state of AI in data, some of the most interesting AI tools, and share his predictions about where this is all headed and what it means for the future of your data career. You'll leave this session with a much better understanding of the current state of AI, likely future trends, and how you should be thinking about AI and its impact on your career.

What You'll Learn Which AI tools you should have on your radar How AI is impacting the future of data careers The best ways to keep your skills up to date as the industry evolves   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   About our guest: Alex Freberg, better known as Alex The Analyst started his journey as a Data Analyst 5 years ago and has come a long way since then. He is currently an Analytics Manager at a Fortune 10 company and uses his platform to help people build skills to launch and accelerate their careers in data.  Check out Alex's YouTube channel for free resources and Analyst Builder for his full learning platform.    Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter  

Loyalty schemes are a hallmark of established retailers—not only do they build consumer trust, they are intelligent and constantly evolving, and Tesco’s Clubcard is the UK’s favorite retail loyalty program. The effects of these discounts are far-reaching, especially for families who rely on getting the best deals to make the most of their money. As Tesco’s tagline goes, every little helps. In turn, the identification and specific details of discounted products can have a profound impact on how consumers view the largest supermarket retailer in the United Kingdom, as well as the operational costs and profits that shareholders are concerned with. How do data and AI inform these offers, what goes into the enterprise-scale analytics that keeps Tesco’s Clubcard the UK’s favorite? Venkat Raghavan is Director of Analytics and Science at Tesco. Venkat’s area of expertise is customer analytics, having been very heavily involved with the Tesco Clubcard loyalty program. Venkat also set up an analytics center of excellence to help break down data silos between teams. Previously, he was a Director of Analytics at Boston Consulting Group and Senior Director for Advanced Analytics & AI for Manthan and a Cross Industry Delivery Leader at Mu Sigma. In the episode, Richie and Venkat explore Tesco’s use of data, the introduction of the clubcard scheme, Tesco’s data-driven innovations in online food retail, understanding customer behavior through loyalty programs and in-app interactions, improving customer experience at Tesco, operating a cohesive data intelligence platform that leverages multiple data sources, communication between data and business teams, pricing and cost management, the challenges of data science at scale, the future of data and much more.  Links Mentioned in the Show: Tesco ClubcardMcKinsey: State of Grocery Europe 2024[Course] Data Science for BusinessRelated Episode: Scaling Enterprise Analytics with Libby Duane Adams, Chief Advocacy Officer and Co-Founder of AlteryxSign up to RADAR: AI Edition New to DataCamp? Learn on the go using the DataCamp mobile app Empower your business with world-class data and AI skills with DataCamp for business

How can data drive change and innovation in a traditional and global sport? Join host Jason Foster for a fascinating conversation with Thomas Musson, the head of data at The R&A, the governing body for golf. They discuss Thomas's career journey from sales to data, the challenges and opportunities he faced along the way, and the skills and qualities of a strategic data leader. They also explore the role of data in the governance and growth of golf, the projects and initiatives that The R&A is involved in, and the value of aligning data work with the organisation's values and vision.

Cynozure is a leading data, analytics and AI company that helps organisations to reach their data potential. They work with clients on data and AI strategy, data management, data architecture and engineering, analytics and AI, data culture and literacy, and change management and leadership. The company was named one of The Sunday Times' fastest-growing private companies in 2022 and 2023 and named the Best Place to Work in Data by DataIQ in 2023.For more information, visit www.cynozure.com. Check out our free AI Scorecard and we'll send you a personalised report that outlines what's needed to drive innovation to your business and be competitive.

Avery and Monica discuss Monica's fascinating career pivot from IT and information systems to data analytics.

Learn how to use data in your current job, the importance of having a supportive manager, and the potential for internal career transitions.

Connect with Monica Kay Royal :

🤝 Follow on Linkedin

▶️ Subscribe on YouTube

🤝 Ace your data analyst interview with the interview simulator

📩 Get my weekly email with helpful data career tips

📊 Come to my next free “How to Land Your First Data Job” training

🏫 Check out my 10-week data analytics bootcamp

Timestamps:

08:29 Transitioning to Data Analytics 14:05 The Importance of Managerial Support 18:32 Using Data in Various Professions

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

As long as inflation remains above the Fed’s target, and the Fed maintains its higher for longer interest rate policy in response, it is premature to conclude the economy has soft-landed. This episode is a replay of the “Stubborn Inflation, Reluctant Fed” webinar hosted by Chief Economist Mark Zandi and team, as they discuss what it will take for inflation to abate, the Fed to ease, and the economy to soft-land, and what could derail this.   Hosts: Mark Zandi – Chief Economist, Moody’s Analytics, Cris deRitis – Deputy Chief Economist, Moody’s Analytics, and Marisa DiNatale – Senior Director - Head of Global Forecasting, Moody’s Analytics Follow Mark Zandi on 'X' @MarkZandi, Cris deRitis on LinkedIn, and Marisa DiNatale on LinkedIn

Questions or Comments, please email us at [email protected]. We would love to hear from you.    To stay informed and follow the insights of Moody's Analytics economists, visit Economic View.

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Jackie Brosamer, Head of AI, Data & Analytics at Block shares how Block accelerated GenAI production during the Data + AI Summit 2024 in San Francisco.

Databricks Data + AI Summit 2024 Keynote Day 1

Experts, researchers and open source contributors — from Databricks and across the data and AI community gathered in San Francisco June 10 - 13, 2024 to discuss the latest technologies in data management, data warehousing, data governance, generative AI for the enterprise, and data in the era of AI.

Hear from Databricks Co-founder and CEO Ali Ghodsi on building generative AI applications, putting your data to work, and how data + AI leads to data intelligence.

Plus a fireside chat between Ali Ghodsi and Nvidia Co-founder and CEO, Jensen Huang, on the expanded partnership between Nvidia and Databricks to accelerate enterprise data for the era of generative AI

Product announcements in the video include: - Databricks Data Intelligence Platform - Native support for NVIDIA GPU acceleration on the Databricks Data Intelligence Platform - Databricks open source model DBRX available as an NVIDIA NIM microservice - Shutterstock Image AI powered by Databricks - Databricks AI/BI - Databricks LakeFlow - Databricks Mosaic AI - Mosaic AI Agent Framework - Mosaic AI Agent Evaluation - Mosaic AI Tools Catalog - Mosaic AI Model Training - Mosaic AI Gateway

In this keynote hear from: - Ali Ghodsi, Co-founder and CEO, Databricks (1:45) - Brian Ames, General Motors (29:55) - Patrick Wendall, Co-founder and VP of Engineering, Databricks (38:00) - Jackie Brosamer, Head of AI, Data and Analytics, Block (1:14:42) - Fei Fei Li, Professor, Stanford University and Denning Co-Director, Stanford Institute for Human-Centered AI (1:23:15) - Jensen Huang, Co-founder and CEO of NVIDIA with Ali Ghodsi, Co-founder and CEO of Databricks (1:42:27) - Reynold Xin, Co-founder and Chief Architect, Databricks (2:07:43) - Ken Wong, Senior Director, Product Management, Databricks (2:31:15) - Ali Ghodsi, Co-founder and CEO, Databricks (2:48:16)

Matt and Marisa join Mark, who called in from an undisclosed location, to discuss this week’s CPI report and FOMC meeting on interest rates. They all agree that the CPI numbers were unambiguously positive and that the Fed will begin to cut interest rates this fall. They play the statistics game, made more difficult by the dearth of economic releases so far this week, and take a few listener questions related to inflation/deflation, OER, and the Fed. For a deeper dive on inflation and how it's measured, check out the bonus episode--a replay of a webinar hosted by Mark, Cris and Marisa on inflation and the Fed.   Guest Hosts: Matt Colyar - Assistant Director, Moody's Analytics Hosts: Mark Zandi – Chief Economist, Moody’s Analytics, Cris deRitis – Deputy Chief Economist, Moody’s Analytics, and Marisa DiNatale – Senior Director - Head of Global Forecasting, Moody’s Analytics Follow Mark Zandi on 'X' @MarkZandi, Cris deRitis on LinkedIn, and Marisa DiNatale on LinkedIn

Questions or Comments, please email us at [email protected]. We would love to hear from you.    To stay informed and follow the insights of Moody's Analytics economists, visit Economic View.

Para explorar técnicas poderosas de como transformar conjuntos de dados complexos em histórias envolventes e insights assertivos, direto de Barcelona, convidamos Letícia Pozza —  que teve experiência na implementação de iniciativas de análise de dados no Brasil e em pesquisas apoiadas pela Fundação Bill & Melinda Gates e atualmente, e CEO e Co-fundadora da Odd Studio.

Ela conta pra gente, sua experiência em adentrar em um mundo onde dados se convertem em narrativas para desvendar os mistérios da Visualização e Storytelling de Dados.

Neste episódio do Data Hackers — a maior comunidade de AI e Data Science do Brasil-, conheçam: Letícia Pozza — CEO & Co-founder na Odd Studio, que tem como intuito trazer métodos de design para a ciência de dados e auxiliar empresas na concepção e criação de produtos baseados em dados.

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!

Conheça nossa convidada:

Letícia Pozza — CEO & Co-founder na Odd Studio.

Nossa Bancada Data Hackers:

Monique Femme — Head of Community Management na Data Hackers Paulo Vasconcellos — Co-founder da Data Hackers e Principal Data Scientist na Hotmart. Gabriel Lages — Co-founder da Data Hackers e Data & Analytics Sr. Director na Hotmart.

Acesse as referências citadas neste episódio no Medium do Data Hackers .

To build a successful career in data, you need to focus on the right skills. You need to focus on skills that will open doors, make you job-ready, help you attract employers, and put you on the right track toward growing your career. But where should you start? In this episode, Matt Mike will give his thoughts on the most important skills you'll need in your career, and will give you a roadmap for adding them to your tool kit and putting them on display to attract the right kind of attention. You'll leave this session with a solid understanding of which skills you should focus on first, how to tackle them, and with a plan to take action and make progress today. What You'll Learn: Which technical tools you should focus on to build a great data career Why soft skills can be just as important and which ones matter the most How you can build these skills, and put them on display to accelerate your career   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   About our guest: Matt Mike is a multi-passionate Data Analyst and BI Developer who fancies Power BI.

He has been a data analyst for 2 years now and also transitioned into the data field from a non-technical background. This has given him a unique understanding of what it takes to be an analyst from the ground up. Check out Matt's YouTube channel for more! : https://www.youtube.com/@MattMike     Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

Having a strong personal brand is one of the best things you can do to stand out from your competition in today's difficult job market.    In this episode, you'll learn why brand building should be at the top of your list, and more importantly, hear actionable tips that you can use to make progress right away.    We'll be sharing some of the best strategies, actionable advice, and personal anecdotes from two of the best personal brand builders in data, Kate Strachnyi and Kristen Kehrer.

You'll leave with a concrete path to building your brand and accelerating your career, starting today. What You'll Learn: Why personal brands matter more than ever in 2024 What a strong personal brand looks like How to start building your personal brand online   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   About our guests: As the founder of DATAcated, Kate Strachnyi helps companies amplify their brand and expertise in artificial intelligence, machine learning, and data science. Kate is a content creator with over 200k followers across LinkedIn, YouTube, Instagram, and other platforms. She also runs a DATAcated Plus program with 25+ influencers that can be hired to 'make a spash' on social media.  As a marketing and branding expert, Kate has been recognized as a LinkedIn Top Voice in Data Science and Analytics for 2018 and 2019, and as a DataIQ USA100 for 2022. Kate is also the author of ColorWise: A Data Storyteller's Guide to the Intentional Use of Color.  https://www.datacated.com/brand-builder     Kristen Kehrer has been providing innovative & practical statistical modeling solutions in the utilities, healthcare, and eCommerce sectors since 2010. Alongside her professional accomplishments, she achieved recognition as a LinkedIn Top Voice in Data Science & Analytics in 2018. Kristen is also the founder of Data Moves Me, LLC, and has previously served as a faculty member and subject matter expert at the Emeritus Institute of Management and UC Berkeley Ext.

 Kristen lights up on stage and has spoken at conferences like ODSC, DataScienceGO, BI+Analytics Conference, Boye Conference, and Big Data LDN, etc.

She holds a Master of Science degree in Applied Statistics from Worcester Polytechnic Institute and a Bachelor of Science degree in Mathematics.

https://www.datamovesme.com/   Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

This book serves as the ultimate preparation for aspiring Databricks Certified Associate Developers specializing in Apache Spark. Deep dive into Spark's components, its applications, and exam techniques to achieve certification and expand your practical skills in big data processing and real-time analytics using Python. What this Book will help me do Deeply understand Apache Spark's core architecture for building big data applications. Write optimized SQL queries and leverage Spark DataFrame API for efficient data manipulation. Apply advanced Spark functions, including UDFs, to solve complex data engineering tasks. Use Spark Streaming capabilities to implement real-time and near-real-time processing solutions. Get hands-on preparation for the certification exam with mock tests and practice questions. Author(s) Saba Shah is a seasoned data engineer with extensive experience working at Databricks and leading data science teams. With her in-depth knowledge of big data applications and Spark, she delivers clear, actionable insights in this book. Her approach emphasizes practical learning and real-world applications. Who is it for? This book is ideal for data professionals such as engineers and analysts aiming to achieve Databricks certification. It is particularly helpful for individuals with moderate Python proficiency who are keen to understand Spark from scratch. If you're transitioning into big data roles, this guide prepares you comprehensively.

Explore financial data science using SAS. Financial Data Science with SAS provides readers with a comprehensive explanation of the theoretical and practical implementation of the various types of analytical techniques and quantitative tools that are used in the financial services industry. This book shows readers how to implement data visualization, simulation, statistical predictive models, machine learning models, and financial optimizations using real-world examples in the SAS Analytics environment. Each chapter ends with practice exercises that include use case scenarios to allow readers to test their knowledge. Designed for university students and financial professionals interested in boosting their data science skills, Financial Data Science with SAS is an essential reference guide for understanding how data science is used in the financial services industry and for learning how to use SAS to solve complex business problems.

Welcome to Mavens of Data! An expert-led, weekly live show featuring top data professionals hosted by the team at Maven Analytics. Register for free to be part of the next live session: https://bit.ly/3XB3A8b   Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter    

Spatial computing is revolutionizing the way we interact with digital and physical worlds, but its adoption comes with questions about practicality and return on investment. As businesses explore this cutting-edge technology, they must consider how it can enhance productivity and streamline operations. What are the best strategies to integrate spatial computing into your current systems? How can you ensure that it not only boosts efficiency but also delivers measurable benefits to your bottom line?  Cathy Hackl is a web3 and metaverse strategist, tech futurist, speaker and author. She's worked with metaverse-related companies such as HTC VIVE, Magic Leap, and AWS, and currently consults with some of the world's leading brands, including P&G, Clinique, Ralph Lauren, Orlando Economic Partnership and more. Hackl is one of the world's first Chief Metaverse Officers and the co-founder of Journey, where she works with luxury, fashion, and beauty brands to create successful metaverse and web3 strategies and helps them build worlds in platforms like Roblox, Fortnite, Decentraland, The Sandbox, and beyond. She is widely regarded as one of the leading thinkers on the Metaverse. Irena Cronin is SVP of Product for DADOS Technology, which is making an Apple Vision Pro data analytics and visualization app. She is also the CEO of Infinite Retina, which helps companies develop and implement AI, AR, and other new technologies for their businesses. Before this, she worked as an equity research analyst and gained extensive experience in evaluating both public and private companies. In the episode, Richie, Cathy and Irina explore spatial computing, the current viability of spacial computing and it's prominence alongside the release of Apple's Vision Pro, expected effects of spatial computing on gaming and entertainment, industrial applications as well as data visualization and AI integration opportunities of spatial computing, how businesses can leverage spatial computing, future developments in the space and much more.  Links Mentioned in the Show: Cathy’s BookIrena’s BooksApple Vision ProMarvel Studios and ILM Immersive Announce 'What If...? - An Immersive Story'[Course] Artificial Intelligence (AI) StrategyRelated Episode: Why the Future of AI in Data will be Weird with Benn Stancil, CTO at Mode & Field CTO at ThoughtSpotSign up to 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