Sign in to report inappropriate content. We worked on developing a prototype for an AI-powered app that is capable of instantly identifying COVID19 changes on chest x-rays. This was made possible using our favorite platform Salesforce and its Einstein's deep learning APIs.

We are already aware of that and it is the trending buzzword of the decade which is nonetheless than an Artificial Intelligence(AI). What makes us more indifferent from last where we are and now where we are in the actual implementation of AI in almost every form of our day to day life's, it is already living among us now. Like when we used to think about of an AI, it seems like a robot and whole machinery things who does things according to how well it is programmed and rather than this we have absolutely enjoyed those science fiction movies with those highly advanced AI, the one which is talking to humankind with his own build-up intelligence. That means the AI doesn't restrict to those bulkier machines, it has evolved from those to the smartphone you used and many more. Smartphones that you are definitely experiencing daily, whenever you pick up your smartphone, you're already seeing AI in action--from tailored recommendations to relevant search results.

While far from being a core feature of most CRMs, Gartner found that artificial intelligence (AI) and predictive analytics have the highest interest from businesses across sales, marketing, customer experience, and digital commerce--the four major CRM services (full content available to Gartner clients). Salesforce is one of the earliest adopters of AI capabilities and technology and the largest customer relationship management (CRM) software vendor, owning 19.5% of the CRM vendor market. In fact, it's one of the first CRM vendors to have AI capabilities; it launched its AI tool, Salesforce Einstein, in September of 2016 for select modules. In this piece, we'll explain what Salesforce Einstein is, as well as provide an overview of the primary features it brings to the table so you can make a more informed decision when purchasing your next CRM. It uses data gathered on every user action to provide predictive analytics, natural language processing (NLP) capabilities, and machine learning to Salesforce customers.

White sharks are being spotted off the Pacific coast more than ever before. A 2014 study found that, at minimum, California's shark population now exceeds 2,000. And the California Department of Fish and Wildlife reports that since 1950, there's been at least 158 documented cases where a shark approached a person in the water, 44 of which occurred since 2010. Those numbers are at best rough estimates -- tracking shark encounters is an imperfect science largely reliant on first-hand reports. But members of Salesforce's Einstein AI team and oceanographers at the University of California's nonprofit Benioff Ocean Initiative say they've developed a better solution in a system that susses out great whites from drone footage.

The AI revolution is already transforming the consumer world. Sometimes, it's in everyday ways like product recommendations, and sometimes it's in magnificent ways: Cochlear implants, which provide artificial hearing for those born completely deaf, have switched to AI for a superior end-user experience. Artificial intelligence (AI) is the latest milestone in modern technology. The AI revolution is leading to a smarter world, and this smarter world has been built on the mega-trends that we've all witnessed over the last 20 years: the web, the cloud, social, mobile, and the Internet of Things (IoT). With cloud technology, we have, as developers, virtually unlimited computing and storage capacity, and it's really that combination of massive data and massive computing power that's leading to this revolution.

The world of computing is evolving day-by-day, in sync with the latest developments in technology. Among the most significant tech changes in recent times is facial recognition. Correspondingly, images, videos and other rich media have eaten into the space of text based content in a big way. As is always the case, computing technology has evolved to identify faces, objects, scenes, and activities in social media posts. For marketers, it translates to the ability to search images of products and logos of brands, a big jump from the hitherto text-only search capabilities.

Mobile workers are about to get a tech upgrade: On Wednesday, Salesforce announced Einstein AI and Analytics for Field Service Lightning, its platform that helps the mobile workforce use technology to better respond to customer service calls. The introduction of new tools will allow service workers to tap image recognition, scheduling automation, and actionable insights to improve productivity and efficiency in the field, as well as drive more revenue. The multi-billion dollar field service market is expanding into new industries, including finance, healthcare, manufacturing, and retail, according to a press release. This has led to more demand to deliver strong onsite service, despite complicated equipment and a lack of information about pre-existing customer problems. This can lead to issues that require multiple onsite trips, Salesforce noted, which the company hopes this platform can cut down.

Einstein Vision for Field Service uses deep learning to help field service agents. Salesforce on Wednesday announced a series of new AI-powered tools designed for mobile workers. The enhancements to Field Service Lightning -- a platform that enables workers to respond to customer service calls and engage with customers on site -- cover three areas: image recognition, equipment management and analytics. The first new feature, Einstein Vision for Field Service, uses deep learning to help field service agents. Companies can use pre-trained image classifiers or train their own classifiers to handle various, specialized image recognition use cases.

Hiring one data scientist could cost your organization around $100,000 per year, but with Salesforce Einstein, you may not need to budget for that role just yet. On Tuesday, Salesforce Einstein – the CRM giant's foray into baked-in artificial intelligence – was launched in general availability, months after Salesforce first launched Einstein at Dreamforce in October. This week Salesforce unveiled more specifics around what AI can do for its customers and partners, providing case studies and customer perspectives at an event in its San Francisco office that was live streamed on its website. "Now everyone has a data scientist," a senior engineer at Salesforce told the audience of investors and customers on Tuesday, describing how Salesforce Einstein leverages data from its email, CRM and social that it has collected "from the very beginning." The idea behind Einstein, according to Jim Sinai, VP of Salesforce Einstein Marketing, is that Salesforce is "democratizing artificial intelligence and putting it inside of every single CRM feature so that everyone has a data scientist in their day."

More than 1.2 trillion photos will be taken in 2017 according to InfoTrends, changing the way we communicate with the world and unlocking new potential for business. These photos contain important insights-- on everything from inventory level and product quality, to consumer trends and customer preferences-- and leveraging these visual clues allows companies to enrich sales leads, automate service case resolution and optimize marketing campaigns. Today, we're happy to announce Einstein Vision, a set of powerful new APIs that allow force.com Now, everyone can leverage pre-trained image classifiers, or train their own custom classifiers to solve a vast array of image-recognition use cases, empowering end users across sales, service, and marketing to be smarter and more predictive. With Einstein Vision the power of image recognition can easily be embedded in any app, with just clicks.