Interesting blog at Nvidia regarding the generative adversarial network or GAN, invented by Ian Goodfellow, currently at Google.
According to AI pioneer Yann LeCun, who overseas AI at Facebook, the GAN is “the most interesting idea in the last 10 years in machine learning”.
This article in the Digital Journal reports that the agricultural manufacturer, John Deere, has acquired tech start-up Blue River Technologies for $305M.
The AI technology makes it possible to spray herbicides only where they are needed.
Currently on a global basis $25B is spent on herbicide sprays, and it is expected that this new technology will reduce the spraying of herbicides by about 95%.
Useful article in November 2017 from McKinsey regarding the value of an explicit data architecture to get the most out of your digital initiatives.
Interesting article at HBR outlining eight ways in which machine learning can help your organisation to perform better, including:
1 More personal customer service
2 Improving customer retention
3 Hiring the right people
4 Automating finance
5 Measuring brand exposure
6 Detecting fraud
7 Predictive maintenance
8 Smoother supply chains
Insightful article from two of the most informed people regarding the possibilities and consequences of artificial intelligence and machine learning.
Article was originally published in the Harvard Business Review in July 2017.
Interesting article here in Information Week by Lisa Morgan, regarding 7 sources of bias in data, including:
1 Confirmation bias
2 Selection bias
3 Outliers
4 Simpson Paradox
5 Overfitting and underfitting
6 Missing variables
7 Non-normal data distribution
Good article from McKinsey about living and surviving in a digitally disrupted world – thanks to sensors, big data, AI and cloud computing.
Every C-level executive needs to understand these issues in a significant way – it’s too important, too consequential, to be left to other people.
Of course, as with previous technology adoptions, people who can bridge the technology world and business world will be of paramount value.
Interesting article from Bloomberg about 16,000 financial advisors at Morgan Stanley getting machine learning assistants. Also, includes research from Morgan Stanley about the exponential growth in such robo-advisors over the next decade or so.
It’s expected that around $6,500B of global wealth will be managed by such robo-advisors by 2025.
Always something interesting posted by Daniel Faggella at TechEmergence.
Tends to cover a wide range of new technologies, including:
✽ Machine learning
✽ Image recognition
✽ Robotics and
✽ Artificial intelligence
across industries, including:
✽ Aerospace
✽ Agriculture
✽ Automotive
✽ Financial services
✽ Government
✽ Healthcare
✽ Mining
✽ Pharmaceuticals
✽ Retail and
✽ Security
When one of world’s most insightful firms starts talking about re-inventing itself, for the benefit of its clients, may be we should all take some notice …
… before it’s too late ?
Click here for the McKinsey message (be sure to click the audio on their video command line)
