Indeed, most people working in healthcare believe it is a sector that will benefit most from AI technologies. In addition to innovations such as AI-assisted robotic surgery, cloud technology is already being used to back up documents and photos. However, AI data analysis comes with its own challenges, due to ethical concerns regarding a huge number of legacy systems containing highly sensitive data. Despite this, healthcare industry trends prove that AI has a valuable role to play. It can improve quality of care, reduce costs and speed up procedures.

It's time to put AI to work – real work. IBM Watson lives and works in the real world, putting'smart' into operation where it's really needed. To find out more about AI that knows your industry and works with tools you already use, watch the video.

For nearly three decades, IBM has partnered with the United States Tennis Association (USTA) to bring this prestigious sporting event to life for millions of fans, players, coaches, and even the media. This year players from Roger Federer to Serena Williams, along with their coaches, will be utilising IBM AI-powered tools to sharpen their game plan and skill. Better still, IBM Watson is also reinventing how fans experience the US Open, taking it far beyond simply reporting the very latest Novak Djokovic news. Watson Virtual Assistant will help the hundreds of thousands of fans visiting the tournament to successfully navigate everything from maps to dining options, along with making the US Open Schedule seem so much less daunting. IBM Watson's AI capacity enables it to see, hear, and understand the most exciting moments recorded on video.

At IBM, we've built a business by asking the big "what ifs". And in my role, I spend most of my time thinking about the connectedness of things, and how AI and IoT are truly changing everything. With those two thoughts in mind, today I'm pleased to bring you a world of unlimited – and very connected – "what ifs" with the introduction of Watson Assistant. Watson Assistant is a new AI assistant designed for business. With this assistant, businesses use valuable customer knowledge to proactively anticipate customer needs and learn from those interactions, to deliver relevant and personalized experiences to customers.

According to IDC, IBM leads the Worldwide Artificial Intelligence Market. Growing 35.6% to $28.1 billion, the artificial intelligence (AI) market experienced steady growth in 2018. The International Data Corporation (IDC), the premier global provider of market intelligence and advisory services for the information technology industry, has produced an objective study of worldwide artificial intelligence market revenue for 2018. Entitled'Worldwide Artificial Intelligence Market Shares, 2018: Steady Growth -- POCs Poised to Enter Full-Blown Production,' it finds amongst many other things that cost of the solution, lack of skilled personnel, and a bias in data have held organisations from more broadly implementing AI. On the other hand, automation, business agility, and customer satisfaction are the primary drivers for AI initiatives.

When software is at the core of your business and your customers present a high-profile target for cybercrime, application security becomes a driving factor. IGT's products and solutions enable players to experience their favourite games across all channels and regulated segments. But innovating to stay ahead of changing player requirements means new code is continually being turned out – by thousands of developers. The challenge was how IGT would meet business needs for speed-to-market while maintaining thorough application security throughout the development process. By employing the help of IBM Business Partner HCL, and the machine learning and AI-based capabilities of IBM Security AppScan, IGT can now rule out hundreds of'false positive' security issues, enabling them to focus on critical sections of code that really matter.

At this year's Think 2019 the world was privy to many a critical lesson, inspiring story and valuable insight, and while the event of the year may now be wrapped up, journeys to becoming a more cognitive enterprise are almost certainly underway. Fifty keynote speakers, 2000 sessions and 180 sponsors made the event a place of infinite ideas, one that played host to the innovation, insights and integrity essential to your clients' and business partners' transformation. But it's far from over, and the spotlight is not only on our technological future more than ever, but IBM itself. With that in mind, we've put together a selection of the most popular articles to come out of the event: In a keynote covering what Ginni Rimetty dubs'chapter two' for digital transformation, she explains that we're now coming out of the experimentation stage and can start to focus on gaining speed and scale. "I think this chapter two of digital and AI is about scaling now and embedding it everywhere in your business. I think this chapter two, when it comes to the cloud, is hybrid. And this chapter two is driven by mission-critical apps. But underpinning it, for all of us, is a chapter two in trust."

Watson Assistant is an enterprise artificial intelligence (AI) assistant that helps businesses enhance brand loyalty and transform customer experience. The solution gathers data and insights from customer engagements, then turns learnings into customised experiences, whilst keeping all data private and secure. Using Watson Assistant, developers and service providers can collaborate with clients, large and small, to build a conversation AI solution for their own unique needs. Whether it's an AI assistant tailored to anticipate the needs of drivers to provide a customised in-car experience, or one to provide a differentiated guest experience at a hotel, there are no limitations to what you can do. Get your 1-year free trial of Watson Assistant to start building your own AI assistant today.

IBM's Watson supercomputer to fight real-world cyber security Seven months after first announcing that it was teaching its Watson cognitive technology platform to fight cybercrime, IBM Corp. has launched it into the real world, at least in test mode. The Watson for Cyber Security platform has been designed to discover behaviour patterns and evidence of hidden cyber attacks and threats that could otherwise be missed by existing security platforms. It does so by using Watson's ability to reason and learn from unstructured data, including the 80 percent of all data on the Internet that traditional security tools cannot process, including blogs, articles, videos, reports, alerts and other information. The software incorporates capabilities such data mining for outlier detection, graphical presentation tools and techniques for finding connections between related data points in different documents, including the ability to identify warnings of new types of malware from even obscure sources. In the initial beta phase, customers are not being charged for the service. Some 40 organisations signed on for the beta test, including Sun Life Financial, the University of Rochester Medical Center, Avnet, SCANA Corp., Sumitomo Mitsui Banking Corp., California Polytechnic State University, the University of New Brunswick and Smarttech.

Within the silos of incumbent financial services, so-called fintech companies are good at picking off one thing only and doing it well. This approach is also taken within data science, where a lot of the properly intelligent work is about understanding the domain (problem) and how best to use the information/data for the problem you have. In doing so, a fintech approach – collaboration, open-sourcing code – is helping to gradually change the culture of finance, even in some hitherto heavily guarded domains. Dr Tristan Fletcher, research director, Thought Machine, said: "Without this specialisation and domain knowledge, it's very hard to rise above the noise. However, the algorithms themselves are often applicable in many areas or problems, and we are probably seeing decreasing specialisation here. "Fintech lends itself particularly to specialisation because there are many well-packaged problems that need to be solved and can be clearly delineated – KYC, AML, credit checking etc.