Gartner has revealed the trends that will mark the roadmap for companies and data science professionals to stay at the forefront in an increasingly competitive and digitalized world. Technology becomes the main ally for define an effective action plan that allows us to achieve ambitious strategic objectives, increase revenue and accelerate digital business.
For Gartner, the trends of the future of data science and machine learning are key so that companies, apart from predictive models, can establish a more democratized and dynamic discipline with the help of generative AI.
Cloud data ecosystem
They are evolving from standalone solutions or software based on mixed deployments or manual integrations to cloud-native solutions.
Hence, by 2024 it is expected that 50% of cloud system implementations are complete data ecosystems and not isolated and manually integrated solutions. To do this, companies must evaluate ecosystems based on their ability to solve distributed data challenges, as well as their integration with external data sources outside their immediate environment.
The value of Edge AI
Thanks to this, data processing will be improved in the same place where it was generated. In this way, it is allowed the obtaining information in real time and compliance with privacy requirements.
According to Gartner, more than 55% of data analysis by deep neural networks They will be carried out in 2025 at the capture point in perimeter systems. This data contrasts with the less than 10% registered in 2021.
Generate responsible AI
This trend refers to business and ethical issues related to the adoption of AI. According to Gartner, 1% of pre-trained AI models will make responsible AI a societal concern. In this way, the main task of companies will be to ensure that suppliers know how to manage risks and comply with current regulations.
Drive data-centric AI
Another effective trend is to create a data-centric approach instead of code to create more effective AI systems. Data management with synthetic data and data labeling technologies are solutions related to data accessibility, privacy, and complexity. Therefore, the use of generative AI is expected to evolve at a frenetic pace and representing approximately 60% of data for AI in 2024. This will allow us to simulate reality, future scenarios and eliminate risk, improving the 1% figures recorded in 2021.
A constant investment in AI
That’s the latest trend Gartner predicts. Companies will continue to bet on a business focused on AI, so that it is expected that by the end of 2026 More than $10 billion has been invested in AI startups based on fundamental models. The goal is none other than to build large AI models trained on large amounts of data.
45% of managers claims to have increased its investments in AI due to advances in generative AI. And thanks to tools like ChatGPT, investments in AI have increased. So that, 70% assured that their organization is in a moment of research into generative AIwhile 19% say it is in testing or production mode.
It is estimated that approximately 64% of SMEs that invest in AI tools achieve a considerable increase in the productivity levels of their employees, and therefore, savings that range from 2.5 hours per day per employee. And more than 66% of Spanish companies have already invested in AI and more than 55% consider it essential in their daily work.
The study recently presented by Gartner concludes what the trends are and how constant growth and evolution is expected in the areas of data science and machine learning. Thuswill continue to transform the operational method of companies and their decision makingwhich will gradually use and promote generative AI in the coming years.
