Remove 2030 Remove Data Integration Remove Responsible AI
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Archana Joshi, Head – Strategy (BFS and EnterpriseAI), LTIMindtree – Interview Series

Unite.AI

This shift is also leading to new types of work in IT services, such as developing custom models, data engineering for AI needs and implementing responsible AI. The evolution of AI is promising but also brings many corporate challenges, especially around ethical considerations in how we implement it.

DevOps 147
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Healthcare Datasets: Powering the Future of AI in Healthcare

Defined.ai blog

According to Statista , in 2021, the global market for artificial intelligence (AI) in healthcare touched an impressive 11 billion U.S. dollars by 2030, signaling a compound annual growth rate of 37 percent from 2022 onwards. Fueling this monumental rise is the backbone of AI innovations: healthcare datasets.

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How can AI and data protection work together: unveiling the truth

Pickl AI

There has been an unprecedented surge in AI applications. The worldwide AI market is expected to rise at a compound annual growth rate (CAGR) of 37.3% from 2023 to 2030. In this article, I will tell you how AI and data protection can work together. What is the role of AI in data security?

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Network Security in Cloud Computing: Threats & Challenges

Pickl AI

Network security in cloud computing plays a vital role in safeguarding sensitive data and maintaining trust. from 2024 to 2030, ensuring secure cloud networks is more crucial than ever. This distinction shifts some responsibility to the end user, necessitating robust practices like multi-factor authentication and encryption.

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AI TRiSM: A Framework for Trustworthy AI Systems

Pickl AI

The AI TRiSM framework offers a structured solution to these challenges. As the global AI market, valued at $196.63 from 2024 to 2030, implementing trustworthy AI is imperative. This blog explores how AI TRiSM ensures responsible AI adoption. billion in 2023, grows at a projected CAGR of 36.6%