During the British summer, conversations about sport become almost ubiquitous. This year, however, one participant in those conversations was very different: IBM Watson, IBM's cognitive intelligence. The All England Lawn Tennis Club knew that 2016 would feature unusually fierce competition for attention, with the Tour de France and Euro 2016 taking place alongside Wimbledon. More than ever before, social media was going to be a vital tool in directing that conversation, and directing attention to SW19. Wimbledon's "Cognitive Command Centre" – powered by Watson's intelligence running on a hybrid, IBM-managed cloud - scanned social media for emerging news and trends.
Gartner predicts that "by 2022, 70 percent of white-collar workers will interact with conversational platforms on a daily basis." As a result, the research group found that more organizations are investing in chatbot development and deployment. IBM Business Partners like Sopra Steria are making chatbot and virtual assistant technology available to businesses. Sopra Steria, a European leader in digital transformation, has developed an intelligent virtual assistant for organizations across several industries who want to use an AI conversational interface to answer recurrent customer service questions. In developing our solution, we at Sopra Steria were looking for AI technology that was easy to configure and could support multiple languages and complex dialogs.
The world is going through a cybersecurity pandemic. No day passes without a hack or data theft being carried out, discovered, or begrudgingly announced. High-profile victims abound – from the PlayStation Network, hacked in 2011, to Dropbox's 2012 breach, to the 500-million-user data theft Yahoo! suffered in 2014, two years before going public about the hack. Those carrying out the attacks have honed their craft to create ever more sophisticated hacking tools. According to a recent study by security consultancy Juniper Research, cybercrime is expected to balloon into a $2.1 trillion (£1.7 trillion) industry by 2019.
A number of web APIs enable developers to develop applications using IBM Watson, Watson Machine Learning infrastructure, and capabilities running on IBM Cloud Services to build analytical models and neural networks, deploy AI, and more. Watson Analytics is a natural language-based cognitive service from IBM Watson that can provide real-time analysis, machine learning, and artificial intelligence (AI) capabilities. Watson Analytics, which includes IBM Cloud Services, an IBM cloud-based service that runs on both desktop and mobile devices, is available in a range of languages including English, French, German, Spanish, English – as – a – Second – Language (EASL) and Mandarin Chinese (Mandarin), as well as English and French. Watson is an IBM supercomputer that combines the best of both worlds – a high-performance computing platform and artificial intelligence (AI) for the optimal performance of an answering machine. This expert guide(IBM Watson) is designed to help you better understand the design and maintenance considerations of your infrastructure machine that support your initiative.
UKRAINE - 2021/02/19: In this photo illustration an IBM logo is seen on a smartphone screen. A pivotal event for AI happened when IBM's Watson beat two all-time champions of Jeopardy! in 2011. This showed that the technology was far from being experimental. IBM would soon go on to make Watson the centerpiece of its AI strategy. And a big part of this was to focus on healthcare.
Many organizations struggle with both identifying and prioritizing what sales leads to pursue. Where do you start when you have a large stack of leads to go through? What do you when your leads have gone cold? For Product Leaders, it's often a challenge to get a broad spectrum of feedback from their customers. How do they know where to focus next?
When I heard the 60th annual Grammy Awards show was going to feature artificial intelligence, I immediately thought "this is a marketing ploy." But then I found out IBM's Watson was the AI in question. Watson, you see, doesn't have a problem rolling up its non-existent sleeves and doing some good old fashioned hard work. Don't expect a silly robot rolling around doing a human impersonation on the red carpet, IBM's machines show up to solve problems and optimize workflows. And while that isn't very sexy – hard work seldom is – it's incredibly important.
Even so, some experts found that it can be difficult to apply AI to treating complex medical conditions. Having access to data that represents patient populations broadly has been a challenge, experts told the Journal, and gaps in knowledge about complex diseases may not be fully captured in clinical databases. "I believe that we're many years away from AI products that really positively impact clinical care for many patients," said Bob Kocher, a partner at venture-capital firm Venrock who focuses on healthcare IT and services investments and who was a White House health adviser under President Barack Obama. Software that makes recommendations on personal medical treatments needs data on what actions have worked in the past. But data on medical histories and treatment outcomes aren't always complete, may be recorded in different formats, and may be sitting in various systems owned by insurance carriers, health providers and other organizations.
International Business Machines Corp. is exploring a potential sale of its IBM Watson Health business, according to people familiar with the matter, as the technology giant's new chief executive moves to streamline the company and become more competitive in cloud computing. IBM is studying alternatives for the unit that could include a sale to a private-equity firm or industry player or a merger with a blank-check company, the people said. The unit, which employs artificial intelligence to help hospitals, insurers and drugmakers manage their data, has roughly $1 billion in annual revenue and isn't currently profitable, the people said. Its brands include Merge Healthcare, which analyzes mammograms and MRIs; Phytel, which assists with patient communications; and Truven Health Analytics, which analyzes complex healthcare data. It isn't clear how much the business might fetch in a sale, and there may not be one. IBM, with a market value of $108 billion, has been left behind as cloud-computing rivals Microsoft Corp. and Amazon.com
How significant an impact can we reasonably expect AI to make on digital marketing? Rosy predictions have a knack for either showing up late, floundering or somehow failing to fulfill their promise. At IBM Watson Advertising, CMO Randi Stipes looks at AI as a practical toolset that has been in place for a decade rather than the vague promise of a rosier future. I recently asked Randi to give us an AI update. Paul Talbot: What's happening with AI at IBM that's different from how it's being deployed elsewhere?