How AI learns: datasets and data processing
Why it matters: How AI learns through datasets and data processing: exploring data types, methodologies, and future trends in AI.
Sanksshep Mahendra
Sanksshep Mahendra is a technology executive with success in driving, vision, strategy, design, and execution of software engineering for the web, mobile, apps, social, voice, IoT, applications along with Machine learning and AI. His expertise lies in partnering with business leaders, powering through roadblocks, and leading global teams to deliver disruptive products that advance the organization’s mission and capture game-changing results in the market. Sanksshep Mahendra has a lot of experience in M&A and compliance, he holds a Master's degree from Pratt Institute and executive education from Massachusetts Institute of Technology, in AI, Robotics, and Automation.
Key skills to get started with AI
Why it matters: Learn the key skills for AI development, including programming, machine learning, and essential math concepts.
Robotics and its connection to AI
Why it matters: Explore AI’s deep connection to robotics, challenges, ethical concerns, and applications in industries like healthcare and manufacturing.
AI’s impact on privacy
Why it matters: AI’s impact on privacy spans data collection, surveillance concerns, regulations, and ethical challenges raised by AI systems.
Future of AI: hype vs. reality
Why it matters: Future of AI: Hype vs. Reality. Unveil myths, real capabilities, breakthroughs, ethics, and societal impact of AI.
The role of AI in big data
Why it matters: The role of AI in big data enables real-time analysis, predictive insights, and smarter decisions across industries.
AI’s relationship with cloud computing
Why it matters: Explore AI’s relationship with cloud computing for enhanced scalability, innovation, performance, and flexibility.
Types of AI: Narrow, General, and Super AI
Why it matters: Types of AI: Narrow, General, and Super AI. Discover their applications, challenges, and future potential impacts.
Key AI Terminologies: An Introduction
Why it matters: Key AI Terminologies: Learn essential AI terms, algorithms, models, and neural networks driving the AI revolution.
What is AI? A historical overview
Why it matters: What is AI? A historical overview tracing AI’s development from its early foundations to modern deep learning.