Startup Saturday is bringing to you yet another exciting and futuristic theme this March Edition, "All About Artificial Intelligence - The Next Step in Human Evolution"

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Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Most AI examples that you hear about today – from chess-playing computers to self-driving cars – rely heavily on deep learning and natural language processing. Using these technologies, computers can be trained to accomplish specific tasks by processing large amounts of data and recognizing patterns in the data.

John McCarthy first coined the term artificial intelligence in 1956 when he invited a group of researchers from a variety of disciplines including language simulation, neuron nets, complexity theory and more to a summer workshop called the Dartmouth Summer Research Project on Artificial Intelligence to discuss what would ultimately become the field of AI

Why is artificial intelligence important?

• AI automates repetitive learning and discovery through data
• AI analyzes more and deeper data
• AI adds intelligence
• AI achieves incredible accuracy
• AI adapts through progressive learning algorithms
• AI gets the most out of data.

Gartner Says AI Technologies Will Be in Almost Every New Software Product by 2020

The artificial intelligence market was valued at USD 16.06 billion in 2017 and is expected to reach USD 190.61 billion by 2025, at a CAGR of 36.62% during the forecast period. The base year considered for the study is 2017, and the forecast period is between 2018 and 2025.

The global artificial intelligence market is expected to reach USD 35,870.0 million by 2025 from its direct revenue sources, growing at a CAGR of 57.2% from 2017 to 2025, whereas it is expected to garner around USD 58,975.4 million by 2025 from its enabled revenue arenas, according to a new report by Grand View Research, Inc.

Expected Turnout: 250+ people
Audience profile: Largely techies in the age group of 25-35 years.
70% aspiring entrepreneurs; 30% existing entrepreneurs; 70% in the IT industry