Beyond ChatGPT: The Future of Generative AI for Enterprises

ChatGPT, while cool, is just the beginning; enterprise uses for generative AI are far more sophisticated. Venture capital firms have invested over $1.7 billion in generative AI solutions over the last three years, with AI-enabled drug discovery and AI software coding receiving the most funding. “Early foundation models like ChatGPT focus on the ability of generative AI to augment creative work, but by 2025, we expect more than 30% — up from zero today — of new drugs and materials to be systematically discovered using generative AI techniques,” says Brian Burke, Research VP for Technology Innovation at Gartner. “And that is just one of numerous industry use cases.”

Top Data Science Trends in 2023

AI is transforming how we live and solve problems at work. Data science is how AI happens. Here are the data science trends we see for 2023. Some of 2022's greatest technology advancements were driven by data science, and the data science industry has evolved at such a rapid pace that it can often be hard to keep up. To help navigate, we have compiled key data science trends in 2022 from the perspective of practitioners, why they are trending, and how they may continue in 2023. In 2023, we anticipate an increased need for AIOps and MLOps so that companies can remain competitive while having access to smart, real-time data and analytics. As conventional cloud computing becomes increasingly underequipped to manage copious amounts of data in 2023, edge computing will become crucial and generative models will allow companies to employ fresh content across industries. At the same time, companies are facing increasing pressure to ensure their data is safe, secure and can mitigate harm in all aspects. Data governance, ethical AI and sustainable AI will continue to be central themes we see companies prioritizing throughout the year.


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