Tractable is an Artificial Intelligence company bringing the speed and insight of Applied AI to visual assessment. Trained on millions of data points, our AI-powered solutions connect everyone involved in insurance, repairs, and sales of homes and cars – helping people work faster and smarter, while reducing friction and waste. Founded in 2014, Tractable is now the AI tool of choice for world-leading insurance and automotive companies. Our solutions unlock the potential of Applied AI to transform the whole recovery ecosystem, from assessing damage and accelerating claims and repairs to recycling parts. They help make response to recovery up to ten times faster – even after full-scale disasters like floods and hurricanes.

Originally published on Towards AI the World's Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses. No need for complex self-made Machine Learning Projects -- it's time to use APIs instead.

"…the branch of artificial intelligence that brings it out of the lab and into the real world…" [1] In essence, applied AI is taking scientific research and applying it to business problems. It would be helpful to start with a definition of machine learning.

Virta is the first company with a clinically-proven treatment to safely and sustainably reverse type-2 diabetes without the use of medications or surgery. Our innovations in nutritional biochemistry, data science and digital tools combined with our clinical expertise are shifting the diabetes treatment paradigm from management to reversal. Our mission: reverse type 2 diabetes in 100 million people by 2025. As a full stack health care company of physicians, engineers, marketers and more under one roof, Virta collects comprehensive data on our patients' experience. The Applied AI team leverages this data to build the next generation of health care for chronic diseases.

As CTO of Solutions at Rackspace Technology, Jeff is fanatical about helping people and companies see more success with technology. For decades, since the 1950s when the term "artificial intelligence" (AI) was allegedly first coined, the concept of a machine brain that could think for itself, arrive at decisions and perform specific functions has been both tantalizing and frightening. It was tantalizing because it held the promise of greater efficiency, the elimination of mundane tasks and a world where machines could anticipate our needs, but it was frightening because of overheated visions of job losses in the billions and machines run amok. Even today, when we can see its positive effects in so many parts of our lives, "AI-phobia" is alive and well. Still, it's fair to say that despite breathless predictions, the advent of AI and its cousin machine learning (ML) has been slower to develop and far less threatening than many had imagined, despite massive leaps in computational ability, the rise of neural networks, more and more powerful chips and the ability to parse data in record time.

On those rare occasions when I have spoken to someone who is both experienced and informed, even if I do not buy, I do not resent the company for making the attempt, and there have been times when I enjoyed the call. With a lot of us working from home, sometimes just having a human to talk to is nice and provides an opportunity for greater close rates, while we are under the current pandemic cloud. Watson was implemented with a woman's voice, and one of the side stories was of the number of men who appeared to want to date the computer, thinking it was real. An AI-based telesales system like Watson can not only improve yields, but can also create a more solid relationship with the prospect, better assuring they remain loyal -- rather than becoming disgusted with their party and not donating or voting for them. The interesting thing is that if more companies used these systems, not only would automated donation generation and telesales operations be more successful, they would also upset fewer people and create stronger relationships between the prospects and the brand.

Virta Health is on a mission to transform diabetes care and reverse the type 2 diabetes epidemic. Current treatment approaches aren't working--over half of US adults have either type 2 diabetes or prediabetes. Virta is changing this by helping people reverse type 2 diabetes through innovations in technology, personalized nutrition, and virtual care delivery reinvented from the ground up. We have raised over $350 million from top-tier investors, and partner with the largest health plans, employers, and government organizations to help their employees and members restore their health and live diabetes-free. Join us on our mission to reverse diabetes in 100M people by 2025.

Organisations struggle to realise the full value of their digital transformation projects because of two main factors: over-complicated processes and lack of proper clarity of how their solutions can solve industry pain points.

Due to an increase in the amount of data available through technological advancements, AI and machine learning approaches can be employed to …

ElectrifAi, one of the world's leading companies in practical artificial intelligence (AI) and pre-built machine learning (ML) models, today announced that it has achieved Amazon Web Services (AWS) Machine Learning Competency status in the new Applied Artificial Intelligence (Applied AI) category. This designation recognizes that ElectrifAi has demonstrated deep experience and expertise in building or integrating practical ML solutions on AWS. AWS Partners recognized as part of the AWS Machine Learning Competency expansion help customers take advantage of intelligent solutions to drive business optimization, customer revenue growth and cost reduction. This is done by creating, automating, and managing end-to-end ML workflows with machine intelligence. The AI and ML driven applications are maturing rapidly and creating new demands on enterprises.