APCO recently announced that APCO International's new guide card software called APCO IntelliCommä will use IBM Watson Speech-to-Text and Watson Analytics to improve the scripts used by 911 operators. "Its extensive capabilities and unique analytic features will enable public safety communications professionals to improve response times and the quality of care on the scene while enhancing post-action data that's key to continuous improvement back at the PSAP. The APCO IntelliCommä software will use Watson Speech-to-Text and other IBM Watson and machine learning capabilities to understand the context of the emergency calls. That way call center directors can quickly modify training and response communications, as well as provide on-the-spot coaching.
IBM's newest cognitive computing offering is Financial Crimes Insight with Watson, which is designed to help banks spot financial crimes such as money laundering. The mission of this latest incarnation of Watson, the brainchild of the company's newly formed Watson Financial Services division, is to "[help] organizations efficiently manage financial investigation efforts through streamlined research and analysis of unstructured and structured data." This new suite of Watson products is aimed at helping financial institutions manage their regulatory and fiduciary obligations. For example, in addition to the Financial Crimes Insight with Watson product, IBM is also offering Watson Regulatory Compliance, which focuses on assisting financial institutions in understanding and addressing constantly changing regulatory requirements.
Because of complementary advances in natural language processing, machine learning, and image recognition, the range of tasks for which AI is well-suited is growing daily. Natural language processing Natural language processing (NLP) is the ability of a computer to recognise and interpret ordinary speech. Machine learning and image recognition Machine learning is the process through which an artificial intelligence teaches itself. For instance, if an artificial intelligence is tasked with facial recognition, it will scan images looking for basic facial features: the face itself, and strong'landmarks' that help it'see' the difference between a person and a potted plant.
Forty-two clinical and health experts have joined me on the Watson Health team to shape how AI will benefit physicians and patients, and we are part of a broader IBM clinical community that engages with key clinical and health leaders worldwide in a variety of ways. In addition to offering clinical expertise, advisory board members are invited to be candid about the strengths and weaknesses of AI today, its value to medicine, and how it needs to advance. Our advisory boards complement the clinical, health services, and health systems expertise that we have on the team at IBM and Watson Health. IBM Watson Health will continue to work with clinical communities to advance cognitive technology as clinicians aim to improve the value of care in the U.S. and globally.
It is one of the major fields of study in computer science and encompasses subfields such as robotics, machine learning, expert systems, general intelligence and natural language processing. Everything under the AI umbrella -- including machine intelligence and machine learning -- is data-driven, but requires human expertise to apply answers and discoveries to solve problems. Whereas machine learning will accurately predict that your electric bill will increase next month, machine intelligence will accurately predict that your electric bill will increase next month -- and tell you why: your travel schedule will be light, the weather will be hotter than usual and your air conditioner has been deteriorating. Machine intelligence teaches back to the human the reasons why things happen or will happen, arming users with the ability to make quick and justified changes in strategy.
There is no wizard, just a man behind the curtain. This article feels to an extent like it was a long-time coming. An article that looks at who *they* think are the real heroes behind Watson--their marketing and PR teams. We at Reply have come up against this in the past too, that Watson's brand recognition can be difficult to argue against as a startup, but it's generally a short-lived challenge for us, until the client scratches.
The company is also a big contributor to the general progress within artificial intelligence, as Microsoft Research has gained significant ground in areas such as Deep Learning. Technology company Infor recently released another name to the familiar list of AIs that are used across the globe. The company has shown an interest in not simply endorsing itself with AI technology, but it has taken a very open, community based approach to research by launching the Facebook Artificial Intelligence Research (FAIR) group, helping to pave the way for development. The company has been busily engaged in deep learning, now offering the AWS Deep Learning AMI product that can be used by researchers and developers to get the ball rolling when it comes to teaching and training AI platforms.
I'm working with IBM's Weather Company team at Cannes to wow clients with the capabilities of Watson to personalize their experience with technology. Last year at Cannes Lions, we introduced our customers to Watson Ads -- the world's first consumer-facing cognitive ad format. Riders will communicate with Olli through Watson and can ask questions about how Olli operates, information about local points of interest through Yelp APIs and about weather conditions through IBM's Weather API. Then as digital interactions continue with an avatar tuned to the customer's personality begins to take a lead role in the customer interaction.
There is no doubt that technological trends will have a powerful impact on global education, both by improving the overall learning experience and by increasing global access to education. Massive open online courses (MOOCs), chatbot tutors, and AI-powered lesson plans are just a few examples of the digital transformation in global education. Good teaching requires complex social interactions and adaptation to the individual student's learning needs. Data analysis can be used to improve individual student results, assess each student's strengths and weaknesses, and create mass-customized programs.