The Top Resources to Help You Understand Artificial Intelligence

July 17, 2017

July 17, 2017

Artificial intelligence (AI) is everywhere. It’s what powers the personal digital assistants like Siri and Cortana that live in our phones, the chatbots we interact with online, and the self-driving cars that are just starting to fill our roads. And while it may still be in its infancy by some measures, the fact is that the technology is not only advancing rapidly, but also becoming increasingly ubiquitous.   

 

That’s certainly true within the B2B tech industry, and the environmental, health, safety and quality (EHSQ) market is no exception. Within this space, for example, we’re already beginning to use machine learning models to aid in industrial hygiene. We also expect to see a considerable uptick in predictive modelling in the years to come.

 

Given the growing importance and pervasiveness of AI, we thought it was important to share some resources to help you get your head around this topic both in general terms and specifically as it pertains to the EHSQ market. Here’s what we’ve got:

 

Understanding AI

 

If you’re starting from scratch or don’t know a lot about AI, there are a number of really helpful resources out there that can quickly bring you up to speed. These include:

 

  • “The fourth industrial revolution: a primer on Artificial Intelligence (AI)”, which is a great way to ease your way into AI. Written by David Kelnar, Investment Director & Head of Research at MMC Ventures, it’s a meaty piece of content, but is also easy to read and follows a logical progression that isn’t overwhelming. David provides some useful definitions that can help you understand how the different branches of AI come together. He also clearly articulates why AI is so important and why it’s taking off in such a big way right now.

 

  • Venture capital firm Andreessen Horowitz has put together this AI playbook, which it describes as a “starting place for business and technical people on their own journeys with artificial intelligence.” The playbook is written for line of business leaders, marketing and product managers, data scientists, and others, though its authors take care to point out that you don’t need to have a degree in computer science to understand it. It’s a great, relatively easy to understand primer that touches on many different facets of AI.

 

  • What Is Artificial Intelligence? from Sam DeBrule at Machine Learnings is another useful blog post. It provides a basic overview of AI along with interesting sections on how AI will disrupt different industries and how employees can thrive in an automated workplace.
     
  • If you want to mix things up, you might enjoy listening to Frank Chen’s presentation on AI, Deep Learning, and Machine Learning: A Primer. A partner at Andreessen Horowitz, Frank’s 45-minute presentation outlines the history of AI and its fascinating evolution over the decades since.  

 

For Those Wanting to Go Beyond the Basics

 

Once you have a basic understanding of AI, you’re probably ready to start dipping your toes into deeper waters. You might want to learn more about neural networks and TensorFlow, or the ins and outs of natural language processing. There are a number of great resources that can help you expand your knowledge across these topics and more:

 

  • Talking Machines. A popular podcast, Talking Machines dives into the world of machine learning. Episodes range from interviews with experts in the field and discussions of industry topics to the hosts answering listener questions.

 

  • O’Reilly. The AI section of this website brings you the latest insights, ideas, and tools for building solutions that rely on machine intelligence. The content is excellent and worth checking out.

 

  • Medium. Medium has a dedicated AI stream, where you can find articles from a variety of reputable industry voices. It’s also constantly being added to, making it a valuable source for fresh thinking and new ideas on everything from chatbots to Python and algorithmic trading.

 

Another way to deepen your knowledge is simply to follow the top AI thought leaders. Here’s a short list of some of the many that you may want to check out:

 

  • Nathan Benaich (@NathanBenaich) is a tech investor who knows AI. In past lives he was a Partner at Playfair Capital and research scientist at the University of Cambridge.

 

  • Alex Champandard (@alexjc) is a senior gaming AI programmer, and founder of Creative.AI. Plus, he directs the nucl.ai conference.

 

  • Jana Eggers (@jeggers) is the CEO of Nara Logics, a builds AI systems to help companies make decisions.

 

  • Adam Geitgey (@ageitgey) is the Director of engineering at Groupon and an active and passionate voice about artificial intelligence.

 

  • Dr. Angelica Lim (@petitegeek) works for SoftBank Robotics and has a Ph.D. in AI and emotions.

 

  • Chris Messina (@chrismessina) is a thought leader and the former developer experience lead at Uber.

 

  • Adelyn Zhou (@adelynzhou) is a veteran technology leader who earned her stripes at Nextdoor, Eventbrite, and Amazon.

 

To find others, check out this comprehensive list.

 

AI in the EHSQ Market

 

AI in EHSQ is garnering a lot of attention these days as organizations and software companies develop initiatives to further Safety & Sustainability and boost business performance.

 

Cority launched its Analytics Program in late 2016 as a multi-phased strategic initiative aimed at harnessing the power of over 6.5 million employee records and millions more data points. It is securely managed by Cority on behalf of its industry leading customers.

 

Keep visiting The Cority Blog to learn more!

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