The full article about the 12 Algorithms Every Data Scientist Should Know was posted by Mark van Rijmenam. Mark is an entrepreneur and a Big Data strategist. Algorithms have become part of our daily lives and they can be found in almost any aspect of business. Gartner calls this the algorithmic business and it is changing the way we (should) run and manage our organizations. There are all kinds of algorithms and for each aspect of your business, there are different algorithms, which nowadays you can even buy at an algorithm marketplace.

Glen Hiemstra has spent two decades studying the future. He tries to understand and articulate the kind of future we want as individuals, organizations, and societies. In other words, he helps companies better anticipate tomorrow's threats, opportunities, and competition as a seasoned futurist. One important area where the future will be written: the corporate office or collaborative workspaces where many of us get most of our work done. How will those change over the next decade?

Lisp (historically, LISP) is a family of computer programming languages with a long history and a distinctive, fully parenthesized prefix notation.[1] Originally specified in 1958, Lisp is the second-oldest high-level programming language in widespread use today. Only Fortran is older, by one year.[2][3] Lisp has changed since its early days, and many dialects have existed over its history. Today, the best known general-purpose Lisp dialects are Common Lisp and Scheme.

Pathologists have been largely diagnosing disease the same way for the past 100 years, by manually reviewing images under a microscope. But new work suggests that computers can help doctors improve accuracy and significantly change the way cancer and other diseases are diagnosed. A research team from Harvard Medical School and Beth Israel Deaconess Medical Center and recently developed artificial intelligence (AI) methods aimed at training computers to interpret pathology images, with the long-term goal of building AI-powered systems to make pathologic diagnoses more accurate. "Our AI method is based on deep learning, a machine-learning algorithm used for a range of applications including speech recognition and image recognition," explained pathologist Andrew Beck, HMS associate professor of pathology and director of bioinformatics at the Cancer Research Institute at Beth Israel Deaconess. "This approach teaches machines to interpret the complex patterns and structure observed in real-life data by building multi-layer artificial neural networks, in a process which is thought to show similarities with the learning process that occurs in layers of neurons in the brain's neocortex, the region where thinking occurs."

Each year at Cannes Lions, the Saatchi & Saatchi New Directors' Showcase features a live show conceived around a theme that mirrors the most exciting happenings in the ad industry. This year it was less a live show, more an experiment. In a nod to the rising prominence of artificial intelligence, Saatchi & Saatchi and its LA agency Team One set about potential capabilities of the technology. The result is a music video that was creatively conceived, cast, directed, shot and edited wholly by machines. Saatchi & Saatchi hid it within the NDS reel and tasked the audience to try and pick it out among a crop of films by some of the world's most talented new directors.

An artificial intelligence (AI) lawyer chatbot – yes, that's genuinely a thing – has successfully helped to void 160,000 parking tickets across London and New York in just under two years – all for free. According to The Guardian, it was created by a 19-year-old Stanford University student and self-taught coder who claims that it is "the world's first robot lawyer." Joshua Browder, who was born in London, says that his DoNotPay chatbot assists its users in an easy, friendly way, and it certainly appears to be working. It's already taken on a quarter of a million parking ticket legal cases, and it's won 64 percent of them. That totals 4 million in fines that are no longer having to be paid.

The Air Force recently tested an artificial intelligence flight combat system named ALPHA against it's own tactical experts. John Iadarola, host of ThinkTank gives his final judgment on the use of artificial intelligence in combat. Tell us what you think in the comments below. Retired USAF Colonel Gene Lee -- an experienced combat instructor with "considerable fighter aircraft expertise" -- was repeatedly shot down during engagements with ALPHA in a high-fidelity air combat simulation. Lee called his computerized opponent "the most aggressive, responsive, dynamic and credible AI I've seen to date."

What kind of skills does a company most need these days? Those are probably a lot closer to the mark. But here is one that no one is expecting: philosophers. Do businesses really need a bunch of pointy heads sitting around scratching their beards and quoting Kant or John Stuart Mill halfway through a board meeting? Commerce is about action, not talking, right?

Dubbed "the world's first robot lawyer" by its 19-year-old creator, Joshua Browder, DoNotPay has now successfully contested over 160,000 parking tickets in London and New York. The program attempts to glean information from a simple survey to determine whether an appeal is possible by asking questions that could lead to a dismissal in court, questions like: "were there clearly visible parking signs?" From there, the AI attempts to guide users through the appeals process while aiming for a dismissal. To date, it's been successful in 64 percent of attempts, successfully defending 160,000 of 250,000 offenders in the 21 months it's been active. That's a cool 4m the bot has saved drivers in just under two years.

Artificial intelligence (AI) will make society smarter, leaner and more efficient. But first, startups and businesses must enable the workforce of the future and pivot business models to incorporate AI. Mundane tasks such as driving, scheduling and logistics will all be handled by an AI assistant with multiple input points, such as microphones around your house and smartphones. The AI assistant will be the central nervous system of your life and connected smart home. In the future, when you summon a shared autonomous car from your phone to go out to dinner, your AI assistant will automatically notify the restaurant of your ETA and dietary restrictions.