In a new report, Gartner highlights five key trends that are reshaping the field of data science and machine learning (DSML). These trends reflect the growing importance of data in AI, especially generative AI, as the technology expands across nearly every industry.
Transformation of Cloud data ecosystems
The way we approach cloud data ecosystems is undergoing a major shift. Gartner reports that these ecosystems are moving away from self-contained software or mixed deployments, evolving into complete cloud-native solutions. This encourages organizations to evaluate their data ecosystems by their capability to tackle distributed data challenges, and their capacity to access and integrate with external data sources.
Edge AI is rapidly gaining traction, according to Gartner. This technology allows organizations to process data right at the point of creation, at the edge. By 2025, more than 55% of all data analysis by deep neural networks will happen at the capture point in an edge system, up from less than 10% in 2021. This underscores the need for organizations to identify the necessary applications, AI training, and inferencing to transition to edge environments near IoT endpoints.
Necessity for Responsible AI
Responsible AI is bound to become a societal concern, Gartner predicts. This is due to the concentration of pretrained AI models in the hands of a select few AI vendors. It's imperative for organizations to adopt a risk-proportional approach in their AI adoption strategies and seek assurances from vendors about regulatory compliance and risk management.
Data-centric AI is emerging as a powerful solution to data challenges. This approach includes AI-specific data management, synthetic data, and data labeling technologies. Gartner predicts that by 2024, 60% of the data used for AI will be synthetic, designed to simulate reality, future scenarios and minimize AI risks. This is a steep increase from just 1% in 2021.
Increasing Investments in AI
Investment in AI is set to continue its upward trajectory, says Gartner. Whether it's organizations rolling out new solutions or industries seeking growth through AI technologies and AI-based businesses, the financial commitment is strong. In fact, by the end of 2026, it's predicted that over US$10 billion will have been invested in AI startups that rely on foundational models.