Category Archives: Artificial Intelligence
Human-Level AI: When and How?
[youtube https://www.youtube.com/watch?v=V0aXMTpZTfc?ecver=2] From the Beneficial AI conference, January 6-8, 2017
76% of Business Decision-Makers Believe AI is Fundamental to Future Success
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AI and Data-Driven Marketing Technology
Scott Brinker: …you can see from this chart that master-martech-analyst David Raab shared at the last MarTech confernece in San Francisco that AI (machine intelligence) is blossoming across the whole industry with vendors of all sizes (and this is only … Continue reading
6 Roads to Prediction: Machine Learning Algorithms (Infographic)
Source: Data Iku
Posted in Artificial Intelligence, Machine Learning, Misc
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Artificial Intelligence and the Future of Marketing
Brian Halligan and Dharmesh Shah at Inbound 2016 At Inbound 2016, HubSpot’s co-founders Brian Halligan and Dharmesh Shah entertained 19,000 attendees with their take on the past and future of marketing. Here’s what I learned from their keynote presentation and … Continue reading
Artificial Intelligence from Aperio Systems Protects Critical Infrastructure
Startup Aperio Systems emerged from stealth mode in November, offering “a polygraph for process data, detecting when your system is lying to you,” says CEO Yevgeni Nogin. “We are not a typical cybersecurity company,” Nogin explained in a phone interview … Continue reading
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Augmented Intelligence (#AI)
Augmented Intelligence (#AI) https://t.co/ZAUL14fT0f — Gil Press (@GilPress) November 29, 2016 Augmented Intelligence (#AI) https://t.co/t6THNZvtBY — Gil Press (@GilPress) November 29, 2016
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Artificial Intelligence: 2017 Predictions from Forrester
Insights matter. Businesses that use artificial intelligence (AI), big data and the Internet of Things (IoT) technologies to uncover new business insights “will steal $1.2 trillion per annum from their less informed peers by 2020.” So says Forrester in a … Continue reading
Posted in Artificial Intelligence, Misc, Predictions
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O’Reilly AI Conference: 12 Observations About Artificial Intelligence
At the inaugural O’Reilly AI conference, 66 artificial intelligence practitioners and researchers from 39 organizations presented the current state-of-AI: From chatbots and deep learning to self-driving cars and emotion recognition to automating jobs and obstacles to AI progress to saving … Continue reading
3 Takes on Debugging Machine Learning
S. Zayd Enam: The difficulty is that machine learning is a fundamentally hard debugging problem. Debugging for machine learning happens in two cases: 1) your algorithm doesn’t work or 2) your algorithm doesn’t work well enough. What is unique about … Continue reading