Key takeaways from my 1st AI Webinar

igitalgenius

  • Hosted by Ruben @ Microsoft (Bucuresti), with
    Titus, Growth Manager @ DigitalGenius — Human+AI for Customer Service (San Francisco) & Cosmin — Data Science & Machine Learning developer, CEO of Clusterr.io (Timisoara)
  • Artificial Intelligence = “(…) the study of methods for making computers behave intelligently. Roughly speaking, a computer is intelligent to the extent that it does the right thing rather than the wrong thing. (…) AI includes tasks such as learning, reasoning, planning, perception, language understanding, and robotics.”
  • AI is not new, it has been around since 1955, with the first definition being proposed by Arthur Samuel
  • Machine Learning = “(…) the branch of AI that explores ways to get computers to improve their performance based on experience” — same source as AI
  • Examples of practical applications of Artificial Intelligence: playing board games and card games, answering simple questions, assembling complex objects, translating text from one language to another, recognizing speech, recognizing many kinds of objects in images, and driving a car under most “normal” driving conditions, fraudulent credit-card transactions or evaluating credit applications.
  • We’re now at the point where we have good enough data, good enough computing power (GPUs) & good enough algorithms to be able to produce usable neural networks and practical applications

Read the rest here, including the part where I talk about DigitalGenius & deep learning as a practical application of Artificial Intelligence for Customer Service

Artificial Intelligence – the Hottest Topic of 2017

ai20172017 has just started and already there’s a lot of voices in the market placing Artificial Intelligence at the top of predictions and reports from Forrester Research, Gartner, Tractica and venture capitalists alike.

In one GeekWire piece, three of the five venture capitalists quoted about 2017 trends mentioned AI on their list. That’s remarkable for an industry that has not yet reached maturity but has demonstrated it is ready for widespread adoption. 2017 is likely to be the year we see significant uptake in practical applications for artificial intelligence.

We are after all in a perfect storm of data, computing power and algorithms that fuel these applications both at startup and at corporate level. And I’m not talking about the all knowing AI, but something way more practical:

The promise of artificial intelligence is ubiquitous and often portrayed in Hollywood as a calculating robo-nemesis, disguised as a friend or personal assistant (just see Her, exMachina, and Westworld). Yet, there are few areas better suited for an AI-powered transformation than enterprise & business functions.

Mikhail Naumov, President & CSO at DigitalGenius – Human+AI Customer Service

As a bonus, Udemy is offering their AI/ML course at a 95% discount, an easy way to get in on the machine learning growth wave.