Despite the popularity of ML as a technical solution, there are few resources on the practical aspects of deploying your first ML model. This talk covers Figma’s journey from ideation to post launch: how we decided to invest, how we designed and built our first pipeline with dbt, what we wish we did differently on the way to production, and what came after our first launch.

Speaker: Emily Jia Data Scientist Figma

Read the blog to learn about the latest dbt Cloud features announced at Coalesce, designed to help organizations embrace analytics best practices at scale https://www.getdbt.com/blog/coalesce-2024-product-announcements

There is a lot of talk when it comes to how LLMs can best be deployed in the analytics space. What are implementation best practices? Are LLMs best suited with text-to-SQL or with a Semantic Layer underneath providing proper constraints?

These are fun discussions to have, but LLMs also present a massive opportunity for companies beyond normal analytics work. The team at Newfront has been building LLM-powered products for clients that are external facing, using a cross-functional group that consists of many data team members.

In this talk, they'll go over where data professionals fit best in building these sorts of products and how to get started in participating in direct value generation for your business.

Speaker: Patrick Miller Head of Data & AI Newfront

Read the blog to learn about the latest dbt Cloud features announced at Coalesce, designed to help organizations embrace analytics best practices at scale https://www.getdbt.com/blog/coalesce-2024-product-announcements

AI is transforming data development and engagement at ClickUp. By working to integrate AI at every stage—from data ingestion and transformation and even down to customer-facing systems—ClickUp is at the forefront. A key component of this initiative is a multi-step process to implement a Retrieval Augmented Generation (RAG) system. This involves several strategic steps, including an AI-integrated IDE for development and an in-house application designed to offer unique insights into the data stack, fully aligned with business operations. This approach simplifies information retrieval and streamlines processes for internal data teams and stakeholders. Join us to explore ClickUp’s approach to AI development and discover the benefits of AI in the data industry.

Speaker: Collin Lenon Senior Analytics Engineer ClickUp

Read the blog to learn about the latest dbt Cloud features announced at Coalesce, designed to help organizations embrace analytics best practices at scale https://www.getdbt.com/blog/coalesce-2024-product-announcements

Have you ever wanted to build an AI chatbot to query your data platform? Transforming a business user's natural language question into a valid SQL query that answers their question has huge potential to unlock improved self-service analytics. However, even state-of-the-art LLMs are prone to hallucination, which makes it hard to generate SQL queries that are both conceptually and syntactically correct.

In this talk, you'll learn how the team at M1 Finance tackled this problem using MetricFlow’s rich semantic modeling along with LLM-based tool invocation. This approach enables them to reliably produce valid SQL queries from natural language questions, avoiding issues of hallucination or incorrect metrics.

Speakers: Kelly Wolinetz Senior Data Engineer M1 Finance

Brady Dauzat Machine Learning Engineer M1

Read the blog to learn about the latest dbt Cloud features announced at Coalesce, designed to help organizations embrace analytics best practices at scale https://www.getdbt.com/blog/coalesce-2024-product-announcements

Centralize, harmonize, and streamline. That’s how Roche delivers self-service analytics to the thousands of people in its pharma commercial sector. Dbt is powering the backend solution that combines over 60 transactional systems into a harmonized simplified data model. By adopting a version-controlled approach and enabling end-to-end lineage tracking, we achieved significant reduction in duplication and accelerated time-to-insight for data-driven decision-making. The transition from a heterogeneous technology stack to standardized ways of working has fostered greater flexibility in allocating resources across the organization to address diverse use cases. Additionally, the scalable nature of this platform allows us to easily replicate successful data solutions globally. We further augmented our capabilities by integrating generative AI into our Redshift data warehouse, empowering the creation of innovative data products using dbt. This presentation will share practical lessons learned, architectural insights, and the tangible business impact realized from this data platform modernization.

Speaker: João Antunes Lead Engineer Hoffmann-La Roche

Read the blog to learn about the latest dbt Cloud features announced at Coalesce, designed to help organizations embrace analytics best practices at scale https://www.getdbt.com/blog/coalesce-2024-product-announcements

In this session, led by dbt co-founder Drew Banin, we’ll explore how dbt Copilot is transforming analytics workflows today and provide a preview of exciting AI features coming soon. Powered by AI, dbt Copilot helps you move up the stack by automating the mundane so you can focus on the highest-leverage problems.

Speaker: Drew Banin Co-founder dbt Labs

Read the blog to learn about the latest dbt Cloud features announced at Coalesce, designed to help organizations embrace analytics best practices at scale https://www.getdbt.com/blog/coalesce-2024-product-announcements

Over the past 8 years, dbt, Cloud data warehouses and the dbt viewpoint have dramatically changed the workflow for data practitioners, raising the bar on what great data work looks like and altering the nature of the types of problems we focus on day to day. Jason Ganz lived this transition firsthand and now, he believes, we’re on the cusp of another transformation in how data work gets done. Come hear about how new technologies like Generative AI and new workflows like the Analytics Development Lifecycle will transform data work and how to think about that in your own role and career trajectory.

Speaker: Jason Ganz Senior Manager, Developer Experience dbt Labs

Read the blog to learn about the latest dbt Cloud features announced at Coalesce, designed to help organizations embrace analytics best practices at scale https://www.getdbt.com/blog/coalesce-2024-product-announcements

The dbt Labs 2024 State of Analytics Engineering report highlights that stakeholder data literacy remains a problem in the modern data workplace. Data stakeholders and data professionals can both benefit from learning foundational data literacy concepts that foster their ability to reason about working with data in a business environment. In this talk, an expert from Great Expectations covers two key concepts that they've applied in their own career when framing data fundamentals: “the data supply chain” and “ML in a nutshell.”

Speaker: Rachel House Senior Developer Advocate Great Expectations

Read the blog to learn about the latest dbt Cloud features announced at Coalesce, designed to help organizations embrace analytics best practices at scale https://www.getdbt.com/blog/coalesce-2024-product-announcements

This session is a practical guide to changing how you operate in response to the Cambrian explosion of AI and LLM technologies. In your future, everyone at the company will have access to an LLM with unfettered access to your data warehouse. Do you feel afraid? The Data team at Hex did too. They'll share how they had to change how they worked to adapt, and what data leaders and practitioners need to be thinking about for their own teams.

Speakers: Amanda Fioritto Senior Analytics Engineer Hex Technologies

Erika Pullum Analytics Engineer Hex Technologies

Read the blog to learn about the latest dbt Cloud features announced at Coalesce, designed to help organizations embrace analytics best practices at scale https://www.getdbt.com/blog/coalesce-2024-product-announcements

What does it mean to be successful with AI? Is it validating that it could prove long term value? Finding a way to innovate faster than before? And what role does dbt play in unlocking AI’s potential? dbt Labs COO Brandon Sweeney is joined by Fifth Third Bank and Optum UHG to talk about AI and the role dbt plays in accelerating business growth.

Read the blog to learn about the latest dbt Cloud features announced at Coalesce, designed to help organizations embrace analytics best practices at scale https://www.getdbt.com/blog/coalesce-2024-product-announcements

dbt Labs co-founder and CEO, Tristan Handy, unveils his vision for the analytics development lifecycle, highlighting how our mission to make data and AI more accessible and trustworthy is fueling innovation. Hear from data leaders who have unlocked incredible business value with dbt Cloud at scale, and get an exclusive look at the groundbreaking product features that are launching soon. And remember, what happens in Vegas could change the future of analytics and AI.

Read the blog to learn more about the product announcements: https://www.getdbt.com/blog/coalesce-2024-product-announcements

Speakers: Tristan Handy Founder & CEO dbt Labs

Amy Chen Product Manager dbt Labs

Greg McKeon Staff Product Manager dbt Labs

Roxi Dahlke Product Manager dbt Labs

James Dorado VP, Data Analytics Bilt Rewards

Tobias Humpert Siemens Data Cloud Product Owner Siemens AG

Yannick Misteli Head of Engineering Roche

Send us a text Mr. Ian Smith, the most interesting man alive… Serial Entrepreneurial andCo-founder of Lighthouse Technology, accelerating AI in the data center to optimize IT, Cloud and Data environments.

00:58 Meet Ian Smith 03:24 Knowing when to Walk Away 06:32 Back to Ian 08:14 Startup Companies 09:51 A Wine Making Distraction 14:54 Exercise? 16:01 Back to Exciting Tech 19:12 Lighthouse Technology 26:46 Optimize Cloud via Conversational AI

Linkedin: linkedin.com/in/ian-smith-a803701 Website: https://lighthousetechnology.ai/

Want to be featured as a guest on Making Data Simple? Reach out to us [email protected] and tell us why you should be next. TheMaking Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales,IBM, where we explore trending technologies, business innovation, andleadership ... while keeping it simple & fun. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Vijay Yadav (Director of Data Science at Merck) joins me to chat about a very interesting project he launched at Merck involving LLMs in production. A big part of this discussion is how to make data ready for generative AI.

This is a great example of an LLM-native use case in production, which are rare right now. Lots to learn from here. Enjoy!

LinkedIn: https://www.linkedin.com/in/vijay-yadav-ds/

Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away! Finding quality datasets doesn’t have to be hard. In this episode, we highlight seven must-know sources where you can easily grab free data for your next project. These resources are sure to inspire your work. Get FREE access to 1M+ Datasets here: https://datacareerjumpstart.com/datasets 💌 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 00:10 Kaggle 00:52 Data.World 01:23 Reddit's r/datasets 02:35 Awesome Datasets on GitHub 03:51 Google Dataset Search 04:57 Mendeley 05:42 UC Machine Learning Repository 🔗 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

Está no ar, o Data Hackers News !! Os assuntos mais quentes da semana, com as principais notícias da área de Dados, IA e Tecnologia, que você também encontra na nossa Newsletter semanal, agora no Podcast do Data Hackers !!

Aperte o play e ouça agora, o Data Hackers News dessa semana !

Para saber tudo sobre o que está acontecendo na área de dados, se inscreva na Newsletter semanal:

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.datahackers.news/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Conheça nossos comentaristas do Data Hackers News:

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Monique Femme⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Paulo Vasconcellos

⁠Matérias/assuntos comentados:

State of Data Brazil está no Ar;

A treta da OpenAI e a Amazon;

Amazon vai demitir 14 mil gerentes;

Baixe o relatório completo do State of Data Brazil e os highlights da pesquisa :

Demais canais do Data Hackers:

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Site⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Linkedin⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tik Tok⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠You Tube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

The Data Product Management In Action podcast, brought to you by Soda and executive producer Scott Hirleman, is a platform for data product management practitioners to share insights and experiences.  In Season 01, Episode 20, Nick is back and this time he is chatting with Ganesh Prasad. They dive into Ganesh's background as a data product manager and his journey from data science to product management. The discussion leads into the differences between internal and external products, the importance of user interviews and discovery, and the challenges and advantages of working in big tech and financial industries. Follow along as Ganesh shares some valuable tips and explains the importance of having a product mindset. About our host Nick Zervoudis: Nick is Head of Product at CKDelta, an AI software business within the CK Hutchison Holdings group. Nick oversees a portfolio of data products and works with sister companies to uncover new opportunities to innovate using data, analytics, and machine learning. Nick's career has revolved around data and advanced analytics from day one, having worked as an analyst, consultant, product manager, and instructor for startups, SMEs, and enterprises including PepsiCo, Sainsbury's, Lloyds Banking Group, IKEA, Capgemini Invent, BrainStation, QuantSpark, and Hg Capital. Nick is also the co-host of London's Data Product Management meetup, and speaks and writes regularly about data and AI product management. Connect with Nick on LinkedIn.   About our guest Ganesh Prasad: Ganesh is a Senior Product Lead in the Data Analytics division at Salesforce, bringing over 5 years of experience in data product management from both Salesforce and Mastercard. He has a proven track record of successfully launching and scaling products that meet customer needs. Ganesh has successfully managed and developed analytics, ML, and AI products across various domains, including marketing analytics, fraud detection, revenue forecasting, and platform optimization. Transitioning from a data scientist to a product manager, Ganesh is passionate about the intersection of data and product development. He leads the PM Community of Practice for the Data Analytics division at Salesforce and dedicates his spare time to mentoring others in the field. Connect with Ganesh on LinkedIn.  All views and opinions expressed are those of the individuals and do not necessarily reflect their employers or anyone else.  Join the conversation on LinkedIn.  Apply to be a guest or nominate someone that you know.  Do you love what you're listening to? Please rate and review the podcast, and share it with fellow practitioners you know. Your support helps us reach more listeners and continue providing valuable insights!   

Katie, Nicolaie and Steven discuss the latest economic trends in the EM Edge. Inflation for most EM Edge economies, outside of Africa, have converged to their pre-pandemic norms. The direction from here is upward, in our view. While we are not overly concerned yet, we are monitoring risks rising global food prices, increases in global energy prices and a continued hawkish re-pricing of Fed policy that brings EM Edge currencies under pressure.

Speakers Katherine Marney, Emerging Markets Economic and Policy Research  Nicolaie Alexandru, EM, Economic and Policy Research Steven Palacio, EM, Economics Research

This podcast was recorded on October 15, 2024.

This communication is provided for information purposes only. Institutional clients can view the related report at https://www.jpmm.com/research/content/GPS-4813316-0 for more information; please visit www.jpmm.com/research/disclosures for important disclosures. © 20XX JPMorgan Chase & Co. All rights reserved. This material or any portion hereof may not be reprinted, sold or redistributed without the written consent of J.P. Morgan. It is strictly prohibited to use or share without prior written consent from J.P. Morgan any research material received from J.P. Morgan or an authorized third-party (“J.P. Morgan Data”) in any third-party artificial intelligence (“AI”) systems or models when such J.P. Morgan Data is accessible by a third-party. It is permissible to use J.P. Morgan Data for internal business purposes only in an AI system or model that protects the confidentiality of J.P. Morgan Data so as to prevent any and all access to or use of such J.P. Morgan Data by any third-party.

How APIs and AI are shaping the future of business; Deep dive into Kong AI Gateway; Real-world use cases and demonstrations