If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Work as we know it is in a state of flux. Technology is imposing rapid change, and the rise in automation capabilities and artificial intelligence are the chief catalysts. As Salesforce's Futurist, I spend a lot of time forward-thinking and analysing trend data, and have shared my thoughts on what this technological change means for the future of work and how to navigate it. There's a lot of angst in the world right now that the rise of smart technologies are going to disemploy vast numbers of people. I appreciate why there's anxiety, but if we look at history as a predictor of the future, this simplistic idea that'technology steals jobs' is unfounded.
If science-fiction movies have taught us anything, it's that the future is a bleak and terrifying dystopia ruled by murderous sentient robots. Fortunately, only one of these things is true – but that could soon change, as the doomsayers are so fond of telling us. Artificial intelligence and machine learning are among the most significant technological developments in recent history. Few fields promise to "disrupt" (to borrow a favored term) life as we know it quite like machine learning, but many of the applications of machine learning technology go unseen. Want to see some real examples of machine learning in action?
This article is by Featured Blogger Falon Fatemi from her Forbes.com Artificial intelligence wiggled its way into the movie industry decades before it reached business viability. Blockbusters like "The Terminator," "Star Trek," and "Iron Man" captivated viewers with futuristic ideas about how AI would change the world. Now that AI is actually influencing the real world, though, business leaders are starting to see that it's not all evil robots and smart armor. In fact, top tech companies are hustling to bring AI to market in a variety of exciting (and certainly less sinister) ways.
To Salesforce customer Bill Hoffman, chief analytics officer at Minneapolis-based US Bank, the "A" in "AI" is about "augmented" intelligence because, as he said in a keynote at this week's Dreamforce event in San Francisco, "there's nothing artificial about it." US Bank has deployed Salesforce Einstein capabilities including Predictive Lead Scoring and Einstein Analytics (formerly known as Wave) for customer attrition analysis and retention efforts. It's also using Einstein Discovery (formerly BeyondCore) to better understand customer behavior and cross-sell opportunities. The bank expects to roll out Einstein capabilities to more than 2,000 of its customer-facing financial advisers across the firm in hopes of "personalizing service at scale" and "creating a differentiated customer experience," Hoffman said. Personalizing at scale is precisely the idea behind two "myEinstein" capabilities announced at Dreamforce.
Jetstar is looking to artificial intelligence to boost its ability to provide "smart service" to customers and differentiate in Asia's increasingly congested low-cost carrier market. A demonstration at Salesforce's annual Dreamforce conference in San Francisco revealed a smart service platform powered by Salesforce and IBM, using both vendors' respective AI technologies Einstein and Watson. There is some ambiguity over how much of what was shown in the presentation is in production use. Salesforce's managing director for global go-to-market strategy and execution in the vendor's travel, transportation and hospitality segments, Farhan Mohammad, called it "a demonstration of how Jetstar is using Salesforce". Jetstar's head of digital Cathryn Arnold indicated to iTnews following the presentation that the IBM Watson tie-ins were "aspirational" and not yet in production.
It's been just over a year since Salesforce introduced Einstein, a set of artificial intelligence technologies that are designed to underlie and enhance the Salesforce product set. Today, at Dreamforce, the company's enormous customer conference taking place this week in San Francisco, it announced myEinstein, a package of tools it created to help developers and Salesforce admins customize their AI tools for their particular business. This is really an extension of the developer tools the company introduced in June this year with the goal of exposing some of those artificial intelligence capabilities to customers and letting them create their own intelligent apps. But Salesforce is not stopping with developers in this release. They are also giving customization capabilities to admins with a forms-based approach that doesn't require any programming skills whatsoever.
Salesforce is launching a new feature that uses machine learning to let customers make predictions based on data stored with the tech titan's software. Einstein Prediction Builder is designed to take any of the fields that users have set up inside a piece of software -- like Salesforce's Sales Cloud CRM -- and generate predictions for future outcomes based on saved data. For example, Salesforce users could input information they have about customers and use Einstein Prediction Builder to generate a churn prediction system that would score each customer based on how likely they are to stop using a product or service. The feature is designed to make it easier for companies and users who don't have machine learning expertise to reap the benefits of the current explosion in AI technology. Custom predictions can be set up through a visual editor and don't require coding of any sort.
San Francisco: Salesforce has announced myEinstein at its annual Dramforce conference, a machine learning platform that enables its admins and developers of all skill levels to build custom artificial intelligence (AI) apps "with clicks, without being a data scientist". The myEinstein platform is touted as a tool that allows Salesforce customers to build smarter and more personalised experiences via two new services, the first of which is Einstein Prediction Builder, a tool that enables automatic creation of custom AI models that can predict outcomes for any field or object in Salesforce. The second service is something called Einstein Bots, which can be trained to augment customer service workflows by automating tasks such as answering questions and retrieving information. "We are further democratising AI by empowering admins and developers to transform every process and customer interaction to be more intelligent with myEinstein," said Salesforce's GM and SVP of Einstein John Ball. "No other company is arming customers with both pre-built AI apps for CRM and the ability to build and customise their own with just clicks."
The race is on to make data science, artificial intelligence, machine learning and workflows more friendly to business decision makers and Salesforce wants to be in the front row. Salesforce's big themes at Dreamforce 2017 revolve around embedding itself in more workflows, personalizing recommendations and expanding the data science audience to line of business executives. The working theory is that business executives will then be empowered to use no-code approaches to create apps and models with an assist from AI. SaaS had a major impact on the way companies consume cloud services. This ebook looks at how the as a service trend is spreading and transforming IT jobs. To hammer home those personalization themes, Salesforce dropped "my" before many of its key efforts such as Trailhead, Einstein, Lightning and Quip.
Salesforce has updated its Einstein machine learning platform with new predictive insights and chatbot capabilities, the firm announced at the Dreamforce 2017 conference in San Francisco on Monday. Now dubbed myEinstein, the goal of the platform remains the same: Lowering the barrier to entry for developers looking to work with artificial intelligence (AI). With its increasing focus on drag-and-drop methods over manual coding, it could enable an even broader group of Salesforce users to build custom AI apps across the ecosystem. "Today, we are further democratizing AI by empowering admins and developers to transform every process and customer interaction to be more intelligent with myEinstein," Salesforce Einstein general manager John Ball said in a press release. "No other company is arming customers with both pre-built AI apps for CRM and the ability to build and customize their own with just clicks."