What happens when AI becomes your coworker, not your replacement? In this episode, we sit down with Sadie St. Lawrence, founder of HMCI, to explore the rapidly evolving future of work, where AI isn't just a tool, but a teammate. We dig into how blue-collar and white-collar jobs will be shifting as AI and automation move from the periphery into our daily workflows. From analysts to factory floors, from dashboards to shop floors, what will it actually feel like to work alongside intelligent machines? Sadie also shares the deeply personal story of her 18-month journey exiting Women in Data, what she learned in building a global community, and how she's now thinking about the next wave of human + AI collaboration. If you're wondering what your job will look like in 5 years, this one's for you. What You'll Learn: What it really means to work with AI as a teammate How analysts can stay relevant in the age of automation The different futures ahead for blue- vs. white-collar roles How Sadie built, scaled, and thoughtfully exited Women in Data What makes a career resilient in an AI-driven economy   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

In a rapidly evolving professional landscape, the integration of Artificial Intelligence and other disruptive technologies is reshaping the way we work. This talk by Sadie explores the seismic shifts in work culture, expectations, and roles for leaders, managers, and employees alike. In navigating these changes, the emphasis is on the necessity for a mindset of perpetual learning and curiosity. Sadie will provide actionable insights and recommendations to not just adapt, but thrive, in the next era of work. C-Suite Executives, Entrepreneurs, and Decision-Makers will come away better equipped to lead their organizations into a future that's already here. 

In this session, our panel of experts will explore the foundational strategies for integrating diverse data sources, tools, and technologies

This panel delves into the intricacies of building a cohesive and effective data ecosystem that drives organizational growth and innovation. In this session, our panel of experts will explore the foundational strategies for integrating diverse data sources, tools, and technologies to create a unified system that not only supports but enhances decision-making processes. Attendees will gain insights into best practices for data management, the importance of data governance, and how to leverage data for maximum impact. Discover how to navigate the challenges of data integration and use it to foster a culture of data-driven excellence within your organization.

Join us for an enlightening discussion on transforming your data ecosystem into a powerful engine for strategic advantage.

Join us for a dynamic discussion featuring a Chief Data Officer (CDO), Vice President of Data Science, and Technical Industry Lead as they delve into the real-world challenges of implementing AI and machine learning within Fortune 500 companies and large-scale government entities. This panel will shed light on the common pitfalls, the harsh realities faced, and practical strategies for overcoming these obstacles. Don't miss this opportunity to gain valuable insights from industry experts on navigating the complex landscape of AI/ML application in high-stakes environments.

This panel will shed light on the common pitfalls, the harsh realities faced, and practical strategies for overcoming these obstacles.

Sadie St. Lawrence chat about all sorts of stuff - mind and machines, community building, optimizing time, focus, and social capital, and much more.

Women in Data: https://www.womenindata.org/

LinkedIn: https://www.linkedin.com/in/sadiestlawrence/

Today is the start of a four-day careers series covering breaking into data science in 2022. With so so much demand for data jobs today, we wanted to demystify the ins and outs of accelerating a career in data. In this series, we will interview a diverse range of thought leaders and experts on the different aspects of standing out from the crowd in the job hunt.

Our first guest in the DataFramed Careers Series is Sadie St. Lawrence. Sadie St Lawrence is the Founder and CEO of Women in Data, the #1 Community for Women in AI and Tech. Women in Data is a community of over 20,000 individuals and has representation in 17 countries and 50 cities. She has trained over 350,000 people in data science and is the course developer for the Machine Learning Certification for UC Davis. In addition, she serves on multiple start-up boards, and is the host of the Data Bytes podcast.

Sadie joins the show to talk about her career journey in data science and shares the best lessons she has learned in launching data careers.

Throughout the episode, we discuss

The different types of data career paths available How to break into your data science career How to build strong mentor/mentee relationships Best practices to stand out in a competitive industry Building a strong resume and standing out from the crowd 

[Announcement] Join us for DataCamp Radar, our digital summit on June 23rd. During this summit, a variety of experts from different backgrounds will be discussing everything related to the future of careers in data. Whether you're recruiting for data roles or looking to build a career in data, there’s definitely something for you. Seats are limited, and registration is free, so secure your spot today on https://events.datacamp.com/radar/

Introducing the DataFramed Careers Series. Over the past year hosting the DataFramed podcast, we've had the incredible privilege of having biweekly conversations with data leaders at the forefront of the data revolution. This has led to fascinating conversations on the future of the modern data stack, the future of data skills, and how to build organizational data literacy. 

However, as the DataFramed podcast grows, we want to be able to provide the data science community across the spectrum from practitioners to leaders, with distilled insights that will help them manoeuvre their careers effectively. And we want to do that more often. 

This is why we’re excited to announce the launch of a four-day DataFramed Careers Series. Throughout next week, we will interview four different thought leaders and experts about what it takes to break into data science in 2022, best practices to stand out from the crowd, building a brand in data science, and more. Moreover, this episode series will mark DataFramed’s transition from biweekly to weekly.

Starting Monday the 30th of May, DataFramed will become a weekly podcast.

For next week’s DataFramed Careers Series, we’ll be covering the ins and outs of building a career in data, and the different aspects of standing out from the crowd during the job hunt. We’ll be hearing from Sadie St Lawrence, CEO and Founder of Women in Data on what it takes to launch a data career in 2022. Nick Singh, Co-author of Ace the Data Science Interview and 2nd time guest of DataFramed will join us to discuss what makes a great data science portfolio project. Khuyen Tran, Developer Advocate at Prefect on will outline how writing can accelerate a data career, and Jay Feng, CEO of Interview Query will join us to provide tips and frameworks on acing the data science interview.

For future DataFramed episodes, we’ll definitely still cover the different aspects of building a data-driven organization, cover the latest advancements in data science, building data careers, and more. So expect more varied guests, topics, and more specials series like this one in the future.