DataCamp's CEO and COO discuss the impact of generative AI in 2023, trends in AI integration into daily life, convergence of tooling and concept of prompt engineering, emerging roles in data and AI, and excitement for AI advancements and production integration.
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Quick takeaways
Data and AI skills will be essential for most people in the next five to ten years, similar to the fundamental shifts when working with computers and the internet.
Generative AI's biggest impact is its mainstream adoption, expanding beyond the technical realm and entering customer experiences.
Deep dives
Data and AI skills are becoming crucial
In the next five to ten years, data and AI skills will be essential for most people, similar to the fundamental shifts when working with computers and the internet. Prompt engineering skills will become necessary as everyone will interact with AI in some capacity.
Generative AI has become mainstream
The biggest impact of generative AI is its mainstream adoption, expanding beyond the technical realm and entering customer experiences. AI is being used in various departments, enabling individuals to perform tasks more effectively and efficiently.
AI and data literacy are important
AI literacy is crucial for people to interact with AI tools and understand basic AI concepts. AI engineers and developers need to acquire skills in large language models, vector databases, and AI application development frameworks. AI fluency and literacy will become universal professional skills.
Data quality, culture, and availability are key trends
Generative AI has increased the pressure on data quality, data culture, and data availability. Organizations will invest more in improving data quality, building healthy data cultures, and integrating siloed data. The ROI of focusing on data-related areas will be higher.
2023 was a huge year for data and AI. Everyone who didn't live under a rock started using generative AI, and much was teased by companies like OpenAI, Microsoft, Google and Meta. We saw the millions of different use cases generative AI could be applied to, as well as the iterations we could expect from the AI space, such as connected multi-modal models, LLMs in mobile devices and formal legislation. But what has this meant for DataCamp? What will we do to facilitate learners and organizations around the world in staying ahead of the curve?
In this special episode of DataFramed, we sit down with DataCamp Co-Founders Jo Cornelissen, Chief Executive Officer, and Martijn Theuwissen, Chief Operating Officer, to discuss their expectations for data & AI in 2024.
In the episode, Richie, Jo and Martijn discuss generative AI's mainstream impact in 2023, the broad use cases of generative AI and skills required to utilize it effectively, trends in AI and software development, how the programming languages for data are evolving, new roles in data & AI, the job market and skill development in data science and their predictions for 2024.