The Ultimate Artificial Intelligence Resources Guide
Special thanks to Laura Rosca for helping to compile this data.
The term Artificial Intelligence was originally coined by John McCarthy in 1955 who defined it as “the science and engineering of making intelligent machines.” More than half a century later, AI and machine learning are taking their places among tech’s most talked about trends.
Over the past few years, AI has made inroads in data mining, industrial robotics, speech recognition and much more. And its rise is only slated to continue. By 2022, the overall artificial intelligence market is expected to be worth more than $16 billion. That’s an expected compound annual growth rate of over 62% from 2016 to 2022. It’s not wonder then that tech giants and small startups alike are investing heavily in AI and machine learning. Here, we’ve compiled an in-depth guide to help you brush up on your AI knowledge.
Table of Contents
- Market Overview
- Major Players
- Current Use Cases
- Forecasts & Trends
- Risks & Limitations
The road to artificial intelligence: A case of data over theory
In the summer of 1956, a collection of scientists gathered at Dartmouth College to invent a new field of science – artificial intelligence. This article takes a look at the six decades of AI research and where we’re headed.
Artificial Intelligence Industry – An Overview by Segment
A lay of the land of the AI industry, including its various segments and application areas.
The rise of artificial intelligence in 6 charts
A looking at AI funding, patent holders and more. Who do you think is in the lead?
Valuing the Artificial Intelligence Market, Graphs and Predictions
An overview of AI’s growth and market value in the coming decade.
The real risks of artificial intelligence
Is AI putting us on a path towards Singularity? Maybe not. But AI does have real risks (and benefits, of course). Those are explored here.
Artificial Intelligence and the Future of Work
How might AI impact the future of work? Startup advisor Steve Ardire weighs in.
Google AI invents its own cryptographic algorithm; no one knows how it works
AI technology is developing, fast. The leading companies are pushing AI towards new horizons. A look at open-sourcing machine intelligence designs here.
IBM Gives Watson a New Challenge: Your Tax Return
In its broadest deployment to date, IBM’s Watson will assist H&R Block’s 70,000 tax professionals at 10,000 branch offices across the United States to help more than 11 million people file their taxes.
Current Use Cases
The Top 10 AI And Machine Learning Use Cases Everyone Should Know About
A look at some of the most important uses cases for AI and machine learning.
15 examples of artificial intelligence in marketing
An AI primer for marketers looking to capitalize on the trend.
Emotional intelligence is the future of artificial intelligence
Will emotionally intelligent AI emerge as the technology’s next phase? Seems likely according to this researcher.
Forecasts & Trends
Artificial Intelligence Market by Technology (Deep Learning, Robotics, Digital Personal Assistant, Querying Method, Natural Language Processing, Context Aware Processing), Offering, End-User Industry, and Geography – Global Forecast to 2022
What is the slated growth for AI and machine learning? Some estimates predict the market will be more more than $16 billion by 2022.
Artificial Intelligence: Trends to Watch in 2017
What trends in AI should be on the lookout for in 2017? Find out here.
The Future of Artificial Intelligence and Cybernetics
Might AI raise ethical questions and moral concerns? This research seems to think so. Find out how AI and Cybernetics are moving beyond the realm of science fiction and why that matters to you.
Gartner’s Top 10 Strategic Technology Trends for 2017
A look at Gartner’s top 10 strategic tech trends for 2017 – intelligent, digital and mesh.
18 artificial intelligence researchers reveal the profound changes coming to our lives
How might AI significantly impact and improve our lives in the future? 18 AI researchers weigh in on everything from climate change to giving the elderly better lives.
Risks & Limitations
Benefits and Risks of Artificial Intelligence
Does AI threaten the future of humanity? If so, why, how and when can we expect such threats to take hold? Take a closer look here.
The rise of robots: forget evil AI – the real risk is far more insidious
Robots may not turn against us, but could the AI we program into our daily lives ultimately end up as a nuisance or worse?
These are three of the biggest problems facing today’s AI
Does AI lack humility? Signs point to yes. Here’s why that’s a problem and other issues we face with today’s artificial intelligence.
Artificial Intelligence Startups list
A comprehensive list of AI startups.
Artificial Intelligence & Machine Learning: Top 100 Influencers and Brands
Who are the individuals, brands and companies influencing AI now? Find out here.
AI concept/process historical perspective
A brief history of artificial intelligence from ancient history to today.
Achieving true product-led growth takes a winning combination of free parts of your product, virality, paying users, and more. Startups spend years (and thousands of dollars) trying to figure out the right model for viral growth – and many never do. So how do you succeed at PLG. Find out here.
Eraser founder, Shin Kim, shares why his company, Eraser, a whiteboard for engineering teams, built an AI sidecar that ultimately drove 30% of all product sign ups. Learn more here.
Miro’s Kate Syuma shares how the company’s growth team iterated smart to improve the user onboarding journey for their popular collaborative platform.