1 / 5

Future Trends in AI and Data Science

Examine how AI integration, specialised analytics ICs, robotics, blockchain security, cloud analytics, and real-time analytics will influence company innovation and decision-making in the future.

Nanami
Télécharger la présentation

Future Trends in AI and Data Science

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. FUTURE TRENDS IN AI AND DATA SCIENCE zyneto.com

  2. Data is growing exponentially in the current digital era, and analytics is essential to interpreting, comprehending, and leveraging these enormous amounts of data to spur innovation and corporate expansion. In turn, this desire creates trends by imprinting fresh shifts in how information is understood and used. Emerging trends in data analytics are examined in this article. It covers applications like robotics for information gathering, blockchain in data security, cloud-based analytics, and the incorporation of generative artificial intelligence in analytics.

  3. 6 EMERGING DATA ANALYTICS TRENDS IN 2024 1. Integration of AI and analytics The world is being revolutionised by the incorporation of artificial intelligence (AI) into data analytics. It makes it possible to analyse large and complicated data sets with previously unheard-of speed and precision. 2. Integrated circuits specialized in analytics & Tiny ML New Integrated Circuits (ICs) with a focus on data analytics and machine learning have been developed in tandem with the integration of AI and analytics due to the need for quicker and more effective data processing. 3. Robotics to support data collection Robots with sophisticated sensors can gather accurate data in these settings, creating new prospects for logistics, manufacturing, and space and marine exploration.

  4. 6 EMERGING DATA ANALYTICS TRENDS IN 2024 4. Blockchain as a security alternative in data analytics In this sense, data security is enhanced and the likelihood of infractions is reduced by the blockchain, which is built on distributed and encrypted records. 5. Cloud Analytics as infrastructure to facilitate and provide access to data Scalability and efficiency are provided by cloud computing-based infrastructure and management solutions, which make it easier to access and analyse big data sets. 6. Real-Time Analytics and the Future of Data Analytics Business intelligence (BI) and real-time data visualisation are essential for deciphering the intricate data sets produced by companies, enabling non-technical users to make data- driven choices quickly.

  5. GET IN TOUCH WITH US info@zyneto.com zyneto.com

More Related