If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Microsoft announced recently that it will be shuttering HealthVault Insights, the company's app-based research project that used machine learning to help users analyze and access their personal health records. The app will be removed from the iOS, Android, and Windows storefronts before the end of the month, although users will still be able to access a summary of their generated data on the HealthVault website, according to a blog post announcing the decision. However, more detailed data collected through the service will no longer be available to view. "We launched HealthVault Insights as a research project last year, with the goal of helping patients generate new insights about their health," the company wrote in its blog post. "Since then, we've learned a lot about how machine learning can be used to increase patient engagement and are now applying that knowledge to other projects."
The rise of the machines could leave a third of the population out of work. That's according to Dr Subhash Kak, a computing expert at Oklahoma University, who claims AI and self-driving cars will lead to mass unemployment. He also warns that as robots take control of the world, humans will slip into a life of'meaningless' misery. A report in November suggested that physical jobs in predictable environments – including machine-operators and fast-food worker – are the most likely to be replaced by robots. But it added: 'Collecting and processing data are two other categories of activities that increasingly can be done better and faster with machines.
It would be impossible to predict what artificial intelligence will look like 10 or even 5 years from now. Even a modest goal like making a 12-month forecast could prove challenging. However, PricewaterhouseCoopers has done just that in a new paper, released in mid-January, that offers up several predictions for how AI will unfold in 2018. While forecasts of advancing AI technology displacing workers are commonplace, it hasn't really happened yet. Rather, new jobs offset those that are lost.
Today most healthcare data exists in silos. There is only limited sharing of healthcare data. There is massive, largely untapped potential for securely sharing healthcare data to improve the quality of patient care and reduce the cost of care. Healthcare is under increasing pressure to reduce the cost of care. Exacerbating this are the trends of aging populations and rampant chronic diseases.
The Digital Transformation (DX) of Healthcare is imminent. A number of key advances in technology as well as digital transformation best practices are paving the way for a watershed year in Healthcare. In addition to the staggering and continuously rising cost of Healthcare, silos within Healthcare value streams as well errors in diagnostics and inconsistencies in patient data are some of the pervasive challenges in the healthcare industry. Medical errors are the third leading cause of death in the United States! However, the Digital Transformation of Healthcare is also becoming a reality with tremendous benefits to patients, providers, and payers.
For years, the cloud has been considered as the most powerful and disruptive force ever. The cloud delivers the necessary tool set to support the digital evolution on a very technological level to purchase, build and run an infrastructure, platform and software as service. Thus, the cloud must be considered as the foundation, the non-discussable requirement! For IT as well as business decision makers, however, the voluntary exercise now is artificial intelligence (AI). Only if they can collect, aggregate, process and make use of the companies' knowledge as well as the knowledge of the surrounding environments in an automated way, they will be competitive in the future.
Boston University School of Medicine has developed computer models based on artificial intelligence that significantly improve the analysis of routine kidney biopsy images. BU researchers, who conducted a proof-of-principle study on kidney biopsy sections, contend that their AI-based models have both diagnostic and prognostic applications and could lead to the development of software for diagnosing kidney disease as well as predicting kidney survival. In the study, images processed from renal biopsy samples were collected on 171 patients treated at the Boston Medical Center and were analyzed by convolutional neural networks (CNN) models and nephropathologists, who specialize in the analysis of kidney biopsy images. "With respect to kidney disease, biopsy is one of the gold standard procedures," says Vijaya Kolachalama, lead author and assistant professor of medicine at Boston University School of Medicine. "Most of the clinical decisions today are made based on information that nephropathologists can see from the biopsy."
Dubai based startup, Black Cube Solutions, a frontier tech company, is poised to disrupt the learning and education sector by focusing on skill development and career progression through machine learning and artificial intelligence. Black Cube Solutions has recently unveiled the world's first complete platform for skill development for university students, graduates and working professionals powered by artificial intelligence and machine learning. It's the only platform that brings together all the stakeholders of the skill development ecosystem including universities, corporates, training providers and executive education providers. Peer Mohaideen Sait, Founder and CEO, Training Calendar said, "Skill development is the most pressing challenge for governments and corporates across the world. That is why we came up with the idea of Training Calendar.
Health care providers enter into dozens of contracts with outside companies, like medical record disposal or storage entities, that have access to patients' medical information. Dan Mulholland, senior partner at the health law firm Horty Springer, said these contracts come and go so frequently that they're not always reviewed by a lawyer because of cost and time constraints. But even tiny errors in the documents can create huge liabilities if patient information is mishandled. "There have been some fines for privacy breaches, imposed under HIPAA, that have been in the millions of dollars," said Mulholland. Mulholland said AI software created by local start-up LegalSifter could provide a sort of advanced spell check to clients.
This drives me to the 3rd and final point on Blockchain in (re)insurance: What's new this year? According to, Gary Nuttall MD of The Fintech Times, "The insurance sector is embracing both the InsurTech sector in general, and blockchain in particular, with alliances such as B3I (Blockchain Insurance Industry Initiative – with 15 insurance/reinsurance members) and R3 (which includes insurance companies from Asia and the USA). The establishment of consortia, along with industry standards bodies such as ACORD (a Global Insurance Standards organisation), will enable interoperability between blockchains. Customers experience in the insurance sector still lags way behind. Blockchain allows insurers to start developing models that reduce the burden on customers such as less data re-entry, one touch buying.