Description:Artificial intelligence is a technology of low-cost prediction and discovery. It exploits the new resource of the digital age — vast amounts of data — to identify patterns and make predictions. Much of what A.I. does today can be thought of as a prediction. What product to recommend, what ad to show you, what image is in that picture, what move should the robot make next — all are automated predictions.
Date: Oct 21. 2018
This concept of A.I. as an engine of predictive decision-making is the main theme of a new book by three economists at the Rotman School of Management at the University of Toronto, “Prediction Machines: The Simple Economics of Artificial Intelligence” (Harvard Business Review Press). The authors, Ajay Agrawal, Joshua Gans and Avi Goldfarb, argue that A.I.-powered decision-making is poised to alter virtually every industry. To explain, they start with an A.I. leader, Amazon. The online retail giant is constantly learning more and more about its customers’ buying habits and tastes, and the data is steadily improving the predictive power of its A.I. algorithms. read rest of story
1. What industry do you see AI making big inroads into? Why?
Description: Inside EDGE: the shipping giant’s ambitious, tech-driven bid to keep Amazon and others at bay.
Source: MIT Technology Review
Date: Feb 16. 2018
UPS workers make dozens of decisions every day, and the wrong ones—from placing a box on the wrong conveyor belt inside a processing facility to loading it onto the incorrect delivery vehicle—could keep you from getting your packages on time.
Avoiding those mistakes, and doing so efficiently, is key to the company’s survival. The boom in e-commerce means UPS now delivers as many as 31 million packages a day. Keeping track of all that is an immensely difficult problem. It’s made worse because fulfilling online orders often requires driving to far-flung residences. That is more expensive for UPS than delivering to businesses, where drivers typically can leave and pick up multiple packages at each stop.read rest of story
1. What are the two biggest threats to UPS going forward?
2. What are the two biggest opportunities for UPS going forward?
Description: Artificial intelligence is here — and it’s bringing new possibilities, while also raising questions. Do these gadgets and services really behave as advertised?
Date: Feb 12. 2018
Marc Benioff, the chief executive of Salesforce, blasted companies like Facebook on Tuesday for addicting children to their products and renewed his calls for more government regulation of the tech industry.
Mr. Benioff compared a new Facebook Messenger product for children to candy cigarettes, which he used to pretend to smoke as a boy.
“What do you think they were trying to get us to do with those?” Mr. Benioff asked onstage at the New Work Summit. “I don’t think this is any different now. They’re focused on the addictive nature of these user interfaces. At some point, we have to say, ‘Hold on.’”
Silicon Valley is nearing the point where moral lines will have to be drawn by the government since the industry is not regulating itself and does not seem to be guided by a “strong hand of ethics,” he said.read rest of story
1. What are the two biggest opportunities for society presented by AI?
2. What are the two biggest problems for society presented by AI?
The new era in Silicon Valley centers on artificial intelligence and robots, a transformation that many believe will have a payoff on the scale of the personal computing industry or the commercial internet, two previous generations that spread computing globally. Computers have begun to speak, listen and see, as well as sprout legs, wings and wheels to move unfettered in the world.
The shift was evident in a Lowe’s home improvement store here this month, when a prototype inventory checker developed by Bossa Nova Robotics silently glided through the aisles using computer vision to automatically perform a task that humans have done manually for centuries.read rest of story
1. Do you feel AI development is set to make great strides and commercial return with implementation in everyday live ? Why? or Why not?
Description: In its first steps toward commercialization, IBM’s Watson took on grand, science-laden challenges like helping doctors diagnose cancer. But that is changing as IBM strives to build its artificial intelligence technology into a multibillion-dollar business.
Date: Feb 1, 2017
Today, companies including Geico, Staples and Macy’s are adding the Watson technology to answer customer questions or to improve mobile apps that guide shoppers through stores.
Now in its broadest deployment so far, Watson will be assisting H&R Block’s 70,000 tax professionals this filing season at 10,000 branch offices across the country, where 11 million people file taxes.
The H&R Block partnership with Watson, announced on Wednesday, is being presented to a wider audience with a 60-second television ad during the Super Bowl on Sunday.
For IBM, the collaboration with H&R Block underlines its strategy in the emerging market for artificial intelligence technology. Watson will touch consumers, but through IBM’s corporate clients.
Description: People have made fortunes selling cars and trucks. For many of us, a car is the second most expensive thing we’ll ever buy. But experts say the value of vehicles will likely pale in comparison to the riches from our cars’ data.
“Data is the currency of the digital age,” said Jim Barbaresso, who leads Intelligent Transportation Systems at HTNB. “Vehicle data could be the beginning of a modern day gold rush.”The gold rush analogy is a common one, made by everyone from Barbaresso to the CEO of Daimler. Here’s why there’s so much potential:
Cars increasingly have sensors and cameras to track their performance and their surroundings. Vehicle sensors, for example, can better tell when an engine part is in need of replacement. A back-up camera doesn’t just help us park, it can tell how many pedestrians or vehicles are on a block.
These sensors generate data, which can be analyzed to make money. (If you doubt the way data can be turned into money, just look at the success of Google (GOOG) and Facebook (FB, Tech30). They offer free services to billions, and make a fortune off the data they collect.)
Description: “If we wanted to figure out if a customer is pregnant, even if she didn’t want us to know, can you do that? ”
Date: Feb 16, 2012
As the marketers explained to Pole — and as Pole later explained to me, back when we were still speaking and before Target told him to stop — new parents are a retailer’s holy grail. Most shoppers don’t buy everything they need at one store. Instead, they buy groceries at the grocery store and toys at the toy store, and they visit Target only when they need certain items they associate with Target — cleaning supplies, say, or new socks or a six-month supply of toilet paper. But Target sells everything from milk to stuffed animals to lawn furniture to electronics, so one of the company’s primary goals is convincing customers that the only store they need is Target. But it’s a tough message to get across, even with the most ingenious ad campaigns, because once consumers’ shopping habits are ingrained, it’s incredibly difficult to change them. READ REST OF STORY
Questions for discussion:
Are there any ethical dilemmas to using big data in consumer services?
What other commercial applications can you see for organizations in using big data?
What skill would you need to be able to use Big Data in an organization that you work for