More than a century ago, the department store magnate John Wanamaker famously complained about his inability to gauge the effectiveness of the money he spent on advertising. Since then, technologies such as radio, television, and the internet have given companies new venues for self-promotion, but the age-old problem persists: How to tell whether ad dollars are really boosting sales?
Do Search Ads Really Work? - Harvard Business Review
More than 400 SMEs to receive visits from the ATO as it ramps up focus on Australia's cash economy
UK Home Office spy powers unit pretended it was a private citizen in Ofcom consultation
Benjamin Alarie (Toronto) presents Using Machine Learning to Predict Outcomes in Tax Law (with Anthony Niblett (Toronto) &Albert H. Yoon (Toronto)) at Toronto today as part of its James Hausman Tax Law and Policy Workshop Series:
Recent advances in artificial intelligence and machine learning have bolstered the predictive power of data analytics. Research tools based on these developments will soon be commonplace. For the past two years, the three of us have been working on a project calledBlue J Legal. We started with a view to understanding how machine learning techniques can be used to better predict legal outcomes. In this paper, we report on our experiences so far. The paper is set out in four parts.
At JPMorgan Chase & Co., a learning machine is parsing financial deals that once kept legal teams busy for thousands of hours.
The program, called COIN, for Contract Intelligence, does the mind-numbing job of interpreting commercial-loan agreements that, until the project went online in June, consumed 360,000 hours of work each year by lawyers and loan officers. The software reviews documents in seconds, is less error-prone and never asks for vacation
Media Dragon searching Cold Rivers and Oceans
Online marketplaces such as eBay, Uber, and Airbnb have the potential to reduce racial, gender, and other forms of bias that affect the off-line world. And in the early days of internet commerce, the relative anonymity of transactions did make it harder for participants to discriminate. But as listings began to include photos, names, and other means of identification, bias emerged in areas ranging from labor markets to credit applications to housing—sometimes made worse by a lack of regulation, the absence of in-person interactions, and the use of automation and big data
Fixing Discrimination in Online Marketplaces
Trends in Merger Investigations and Enforcement at U.S. Antitrust Agencies: 2006–2015 Harvard Law School Forum on Corporate Governance and Financial Regulation
The
demise of the US State Department. No State Department press briefing, once
a daily occurrence, has been held since Trump took office. The president has
proposed a 37% cut in the State Department budget. An exodus of senior staff
members continues. The State Department has taken on a ghostly air. (New
York Times)
Never were the connections among politics, money, art, and semen so tight or so murky or so unashamedly happy, tolerant, and fluid
Do You Hate Your Boss?
CSC is sacrificing UK employees for HPE spin merger - MP
How Google Street View Images Reveal the Demographic Makeup of the U.S. MIT Technology Review Yet another reason not to own a car.
North Korea uses sophisticated tools to spy on citizens digitally – report Reuters
Google Takes A Plunge As Replacement For TV
Just $35 a month gets you six accounts and access to live TV from more than 40 providers including the big broadcast networks, ESPN, regional sports networks and dozens of popular cable networks. Subscriptions include cloud DVR with unlimited storage, AI-powered search and personalization, and access to YouTube Red programming. YouTube CEO Susan Wojcicki calls it the evolution of television, and a bid to “give the younger generation the content that they love with the flexibility they expect.”