Future Trends in Artificial Intelligence and Data Science According to Gartner
The rapidly evolving fields of Artificial Intelligence (AI) and Data Science are shaping the future of technology and business. Gartner, a leading research and advisory firm, recently outlined five key trends that are set to influence the future of Data Science and Machine Learning (DSML). This article delves into these trends, offering insights into what the future holds for AI and Data Science.
Cloud-Based Data Ecosystems and Edge AI
Gartner predicts that by next year, 50% of new cloud system deployments will be based on cohesive data ecosystems rather than isolated, manually integrated solutions. Companies are advised to assess data environments based on their ability to tackle challenges related to distributed data and to integrate with external data sources.
Edge AI is gaining traction for its ability to provide real-time insights, detect new patterns, and meet strict data privacy requirements. Gartner forecasts that more than 55% of all data analysis by deep neural networks will occur at the point of data capture by 2025.
Responsible and Data-Centric AI
The concept of Responsible AI is emerging as a significant trend. It encompasses various ethical and business choices, such as societal value, risk, trust, transparency, and accountability. Gartner warns that the concentration of pre-trained AI models among a few vendors could raise societal concerns by 2025.
Data-centric AI focuses on prioritizing data quality and availability over model-centric approaches. Technologies like AI-specific data management and synthetic data are being developed to address challenges related to data accessibility, volume, privacy, and security.
Massive Investments in AI
Investments in AI are set to skyrocket, both from companies implementing solutions and industries looking to expand using AI technologies. Gartner estimates that by the end of 2026, over $10 billion will have been invested in AI startups relying on foundational models.
The future of AI and Data Science is promising, with trends like cloud-based data ecosystems, Edge AI, Responsible AI, and massive investments shaping the landscape. Companies and industries must stay abreast of these trends to remain competitive and harness the full potential of AI and Data Science.
Discover More Tools
Here are the best tools we have selected to improve your performance and productivity : Minea, Moosend, Missinglettr, Live agent, Loomly
Every day, we introduce new AI tools and discuss the latest news in artificial intelligence. Discover new AI tools and software tools and stay up-to-date with the latest tools available.
