Gunman in Fatal Florida Shooting Avoids Charge Due to State Law

U.S. News

On Thursday shortly after 3 p.m., Michael Drejka, 47, got into a shouting match with a woman named Britany Jacobs who sat inside a car parked at a handicapped spot outside of a small food store in Clearwater, Florida, a city less than 30 miles from Tampa, Gualtieri said. Drejka frequently visited the store and was angry over her use of the parking spot without a legal permit, Gualtieri said.

7 steps to success with predictive analytics and machine learning


Most organizations are well positioned to explore predictive analytics and machine learning, but many struggle with how to initially launch the effort, says Mike Gualtieri, vice president and principal analyst with Forrester Research. In his latest Forrester Wave report on predictive analytics and machine learning, Gualtieri offers these tips to help organizations get a PAML effort right."

Florida sheriff blasts Al Sharpton over rally: 'Go back to New York. Mind your own business'

FOX News

Pinellas County Sheriff Bob Gualtieri had some words for the Rev. Al Sharpton. A Florida sheriff on Monday responded to sharp criticism from the Rev. Al Sharpton for not arresting a white man who shot and killed an unarmed black man during a parking lot dispute last month. McGlockton was shot on July 19 by Michael Drejka in Clearwater, according to FOX13 Tampa Bay. Drekja told deputies he feared for his life and police at the time shot not to arrest him, citing the state's "Stand Your Ground" law. "This case should not be tried in a parking lot of a convenience store," Sharpton said.

Why your data is far more important than which AI you use


It doesn't really matter if you use Google, Amazon or Microsoft's AI algorithms, according to experts. The real differentiator is not whether you use Lex, Azure AI or Google's machine learning tools, but the quality of your own data, speakers at OpenText's Enterprise World 2018 conference said yesterday. "The algorithms are nothing without the data," Mike Gualtieri, principal analyst at Forrester, said. "Algorithms get all the press, but the competitive advantage, the accuracy of those models, the decisions that the models can make, it all comes from the data, and the data that enterprises have is very specific to them and their customers." While Google and the other tech giants investing fortunes into machine learning models have trained their tools on billions of images, pieces of text and other media, none of these AI systems have the specific data that companies have to hand, Gualtieri explained.

Before automating decisions, understand what you're deciding


There are some impressive emerging tools and platforms that bring powerful analytics, or artificial intelligence, to the decision-making process. Digital decisioning is now a thing, and there is a new breed of software to make it happen. However, too many organizations put the cart before the horse, and attempt to assemble data and technology, instead of determining what decisions will be supported by these solutions. That's the view of Douglas Clare, vice president at FICO, a company built on the science of decisions. I sat down with Clare at the recent Oracle OpenWorld conference in San Francisco, discussing FICO's latest work in the automated decisioning space.