SAN FRANCISCO - In the consumer universe, artificial intelligence is best known as a nice-to-have if stealthy feature that can suggest movies or book rides. But AI's greater worth could well be in the money-making enterprise arena, where sales, service and marketing initiatives stand to be streamlined by the data-crunching deductive power of machine learning. That's certainly the bet customer relationship management giant Salesforce is making by unveiling Einstein, the no-brainer name given to a suite of advanced AI capabilities. With Einstein, salespeople can focus on leads that statistically show the most promise of becoming clients, and customer service reps may be better prepared to answer a rainbow of consumer queries. "The strongest aspect of Einstein is that it is deeply embedded in the platform, it's just working automatically," says Salesforce CEO Marc Benioff, whose company officially rolled out the base product Sunday.

I have decided to focus on the field of healthcare and classify whether or not a patient has Parkinson's disease based on their vocalization data. For context, Parkinson's is a progressive disease that causes the degeneration of the brain, leading to both motor and cognitive problems. It is thus reasonable to assume a correlation between a patient's ability to speak and their progression into Parkinson's as these capabilities regress. The data set I worked with was obtained through a 2008 study by the journal, IEEE Transactions on Biomedical Engineering, of how various parameters of voice frequency can help classify if a patient is suffering from Parkinson's. By performing a classification on this data, I hope to prove that vocalization tests are indeed a well suited way to diagnose a patient for this disease.

EAGO is a simple framework for evolutionary computation (EC) in Go. You can use this framework to run any kind of EC experiment, simply by two steps: configure and run. Following are algorithms that are available in this framework. More will be added with future updates. These are algorithms that are not implemented yet, but are planned to be added in the future.

International Business Machines Corporation (NYSE:IBM) traded 6.43 Million shares on last trading day with closing price of 153.84. Company gross margin stands at 48.90% whereas its return on investment (ROI) is 23.40%. Stock value has moved between 114.81 – 165.42 in last one year. Analyst's mean target price for International Business Machines Corporation (NYSE:IBM) is 39.00 while analysts mean recommendation is 2.90. IBM EPS growth this year and EPS growth next year is -12.80%, 4.42% respectively.

A breakthrough will allow machines to learn by observing. This Turing Learning, as its inventors have named it, promises smarter drones that could detect militants engaging in behavior that could endanger troops, like planting roadside bombs. Still in its infancy, the new machine learning technique is named for British mathematician Alan Turing, whose famous test challenges artificial intelligences to fool a human into thinking he or she is conversing with another human. In Turing learning, a program dubbed the "classifier" tries to learn about a system designed to fool it. In certain ways, Turing Learning resembles many existing machine-learning systems.

When you talk to an AI chatbot, who do you think writes those professional, peppy responses? There's certainly an algorithm behind the scenes, but humans put together those phrases. Tech companies are creating teams of writers, including playwrights, poets, and novelists, to help write lines that don't sound like they came from a machine. The work can range from creating a consistent character for a chatbot, to inspiring an immersive virtual reality. Jonathan Foster, manager for Cortana's editorial team at Microsoft, heads a team of 22 writers around the world who help give Cortana, Microsoft's personal assistant, a consistent voice.

Salesforce, which has been dribbling out details of its grand plan to add artificial intelligence to its sales-and-marketing software for weeks, did a bigger reveal Sunday, a few weeks before its Dreamforce event and--not coincidentally--just as rival Oracle kicked off its annual Oracle OpenWorld tech conference. The timing is probably not a coincidence. Basically, Salesforce crm is adding more intelligence to each of its branded Marketing, Sales, Service, Commerce, and App clouds, with a mix of AI technologies built in-house and acquired in a series of acquisitions, including of RelateIQ in 2014 and Metamind last April. Salesforce Einstein, as the effort is known, seeks to help Salesforce customers wring real value out of the tons of data they generate. Is there a major client that you haven't heard from in awhile or who has been name-dropping your competitor in email or or on social media?

Salesforce.com Inc. is adding the smarts of artificial intelligence to the very human art of closing deals and marketing to customers. The company, which sells software for sales, marketing and other areas, is rolling out Salesforce Einstein, which aims to use AI tools to improve the company's broad portfolio of products, said John Ball, general manager of the service. The updates, announced Sunday, come after the company spent hundreds of millions of dollars on startups with capabilities in the field, along with its own development efforts. "There is an absolute revolution occurring in artificial intelligence," Ball said in a briefing, noting the team has more than 175 data scientists. "This is democratizing AI so that every company can benefit from these techniques."

As artificial intelligence (AI) continues to move from the summer of hype to the fall tech conference news cycle, mass confusion has begun on what AI can be used for. From fears of SKYNET, to hopes for the computer in StarTrek and Jarvis in Iron Man, the value will come from defining the proper outcomes. AI is more than just a fad. With a market size of 100B by 2025, Constellation sees the AI subsets of machine learning, deep learning, natural language processing, and cognitive computing taking the market by storm (see Figure 1). The disruptive nature of AI comes from the speed, precision, and capacity of augmenting humanity.

Say what you will about Salesforce, the company is always looking ahead. This afternoon, it announced Salesforce Einstein, its artificial intelligence (AI) initiative. The timing, which comes just ahead of rival Oracle's Open World keynote address, is probably not a coincidence. Regardless, the larger AI theme is something Salesforce has been working on across various pieces of its platform over the last couple of years. Today's announcement is about tying it together to show the breadth of this approach.