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The focus shifts to developing
ethical AI systems, emphasizing
transparency, fairness, and
accountability to address societal
concerns and regulatory
requirements.
4 Key Trends in AI and
Data Science for 2024
Quantum Computing
Integration:
Expect increased adoption of
quantum computing to tackle
complex AI and data science
challenges, revolutionizing
optimization, machine learning, and
cryptography.
01
03
04
1stepGrow.com
Responsible AI
Frameworks:
Federated learning gains
momentum, enabling collaborative
model training across distributed
data sources while preserving
privacy and paving the way for
decentralized AI applications.
Federated Learning
Expansion:
AI-powered analytics tools have
become more prevalent, offering
automated insights, natural language
processing interfaces, and increased
data preparation capabilities for
improved decision-making.
Augmented Analytics:
02

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4 Key Trends in AI and Data Science for 2024.pdf

  • 1. The focus shifts to developing ethical AI systems, emphasizing transparency, fairness, and accountability to address societal concerns and regulatory requirements. 4 Key Trends in AI and Data Science for 2024 Quantum Computing Integration: Expect increased adoption of quantum computing to tackle complex AI and data science challenges, revolutionizing optimization, machine learning, and cryptography. 01 03 04 1stepGrow.com Responsible AI Frameworks: Federated learning gains momentum, enabling collaborative model training across distributed data sources while preserving privacy and paving the way for decentralized AI applications. Federated Learning Expansion: AI-powered analytics tools have become more prevalent, offering automated insights, natural language processing interfaces, and increased data preparation capabilities for improved decision-making. Augmented Analytics: 02