[DataFramed AI Series #3] GPT and Generative AI for Data Teams

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May 10, 2023

Sarah Schlobohm, Head of AI at Kubrick Group, dives into the integration of generative AI for data teams. With a background in finance and consulting, she discusses how AI can enhance productivity and collaboration among data professionals. Sarah emphasizes the importance of ethical considerations, privacy, and effective communication when using AI. She also explores the evolution of job roles in an AI-driven landscape, highlighting the need for adaptability and critical thinking skills. Finally, she touches on personalized corporate training through AI.

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ADVICE

Generative AI Use Cases for Data Professionals

Use generative AI to manipulate and generate code, including improving existing code.
Explore data sets and generate presentations, reports, and data visualizations.

ANECDOTE

Generative AI for Non-Technical Tasks

Sarah Schlobohm used generative AI to write her podcast bio and develop lesson plans.
One of her consultants uses it to create a marathon training plan, including training, recovery, and food.

ADVICE

Presenting data to non-technical audiences

When communicating data insights to non-technical audiences, know your audience and simplify your language.
Focus on the big picture, use visuals, and be prepared for questions.

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With the advances in AI products and the explosion of ChatGPT in recent months, it is becoming easier to imagine a world where AI and humans work seamlessly together—revolutionizing how we solve complex problems and transform our daily lives. This is especially the case for data professionals.

In this episode of our AI series, we speak to Sarah Schlobohm, Head of AI at Kubrick Group. Dr. Schlobohm leads the training of the next generation of machine learning engineers. With a background in finance and consulting, Sarah has a deep understanding of the intersection between business strategy, data science, and AI. Prior to her work in finance, Sarah became a chartered accountant, where she honed her skills in financial analysis and strategy. Sarah worked for one of the world's largest banks, where she used data science to fight financial crime, making significant contributions to the industry's efforts to combat money laundering and other illicit activities. Sarah shares her extensive knowledge on incorporating AI within data teams for maximum impact, covering a wide array of AI-related topics, including upskilling, productivity, and communication, to help data professionals understand how to integrate generative AI effectively in their daily work.

Throughout the episode, Sarah explores the challenges and risks of AI integration, touching on the balance between privacy and utility. She highlights the risks data teams can avoid when using AI products and how to approach using AI products the right way. She also covers how different roles within a data team might make use of generative AI, as well as how it might effect coding ability going forward.

Sarah also shares use cases for those in non-data teams, such as marketing, while also highlighting what to consider when using outputs from GPT models. Sarah shares the impact chatbots might have on education calling attention to the power of AI tutors in schools.

Sarah encourages people to start using AI now, considering the barrier to entry is so low, and how that might not be the case going forward. From automating mundane tasks to enabling human-AI collaboration that makes work more enjoyable, Sarah underscores the transformative power of AI in shaping the future of humanity.

Whether you're an AI enthusiast, data professional, or someoone with an interest in either this episode will provide you with a deeper understanding of the practical aspects of AI implementation.