Data science expert Sadie St. Lawrence joins Jon Krohn to discuss the top trends of 2023 in AI. From data as a product to multimodal models and the data mesh, the episode explores predictions for privacy, environmental sustainability, and AI trust. Get ready for a glimpse into the future of data science!
Data as a product holds increasing value for businesses, emphasizing trends like ChatGPT and video content creation.
The data mesh concept promotes decentralized data systems in enterprises, requiring standardized data sharing protocols while ensuring privacy and accessibility.
Initiatives like the AI Bill of Rights aim to address ethical considerations, bias, and discrimination in AI models, highlighting the need for comprehensive legislation and ethical guidelines.
Deep dives
Multimodal models and Data as a Product
The podcast episode delves into the increasing significance of multimodal models and data as a product in the field of data science. Predictions for 2023 highlight the evolution of technologies enabling consumers to interact with data more intuitively. Special focus is placed on data as a product that holds value for businesses and individuals, emphasizing trends like chat GPT and video content creation.
Data Mesh Architecture
Another key focus is on the data mesh concept, emphasizing the decentralization of data stores to empower stakeholders across organizations. The discussion around data mesh underscores the need for standardized data sharing protocols while maintaining privacy and accessibility. Predictions suggest a shift towards decentralized data systems in enterprises, emphasizing the importance of data literacy and readiness for such technological advancements.
Privacy, AI Trust, and Regulation
The episode explores the evolving landscape of privacy, AI trust, and regulatory frameworks in data science. Initiatives like the AI Bill of Rights from the US and the UN aim to address ethical considerations, bias, and discrimination in AI models. Predictions anticipate the emergence of legal cases and regulatory frameworks to govern model compliance and ethical AI practices, emphasizing the need for comprehensive legislation and ethical guidelines in the data science domain.
AI and Sustainable Energy Infrastructures
Companies are urged to power their data centers sustainably to combat climate change. There has been a substantial increase in sustainable energy generation, but further progress is needed. Lobbying for legislation promoting sustainable energy infrastructure is crucial.
Impact of Large Language Models and AI APIs on Data Science Education and Innovation
The rise of large language models and AI APIs revolutionizes learning and job assistance in data science. These models can aid in various tasks instantly, providing solutions and scripts rapidly. While beneficial, ensuring the authenticity and accuracy of information provided by AI models remains a critical consideration for educational and professional applications.
The top data science trends of 2023 are here. Sadie St. Lawrence joins Jon Krohn to share annual predictions on the future of AI. From the data mesh to multimodal models like ChatGPT, tune in to discover what's next.
This episode is brought to you by Kolena (kolena.io), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn: • A recap of 2022 predictions [5:22] • Our data science trend predictions for 2023: - Data as a product [23:36] - Multimodal A.I. models [32:26] - The data mesh [42:49] - Privacy & AI Trust [50:54] - Environmental Sustainability [54:37] • Sadie's goals for 2023 [1:16:04]