A panel hosted by DataArt
A recent Patient Engagement Innovation panel discussion hosted by DataArt on June 9th, 2016 at the Harvard Club of New York City brought together top technology executives from major hospitals and healthtech companies in an enticing dialogue on patient engagement innovation. The event was attended by 80 healthcare industry professionals.
Daniel Piekarz, VP & Partner, Healthcare & Life Sciences, DataArt moderated the discussion and was joined by Chaim Indig, CEO, Phreesia, Dr. Barry Goetz, Director of Clinical Informatics, Population Health and Ambulatory Care, Northwell Health, Dr. Ashish Atreja, Chief Technology Innovation and Engagement Officer, Department of Medicine, Mount Sinai Health System, Mony Weschler, Chief Technology & Innovation Strategist, Montefiore Medical Center and John Donohue, Associate CIO, University of PA Health System.
The third Phocuswright Europe Conference was held at the Convention Centre Dublin on the 10-12 of May 2016 and drew the continent’s top players to exchange views on the trends in technology for the European travel market. The theme was “Unsettled yet Undeterred”, reflecting the backdrop of Europe’s bumpy economic recovery and reduced spending on travel.
The travel industry DNA is changing, with important shifts happening from one year’s Phocuswright to the next.
Stephen Kaufer, CEO, Tripadvisor, emphasized the company’s shifting focus from a review resource to one that accommodates instant bookings. KAYAK and Google have also introduced direct bookings.
Today IoT is expanding it's borders and creeping into our daily lives. Devices are placed everywhere, various size from tiny things to monstrous automatic machinery. The internal device architecture and design form the constraints on the device behavior. Device protocol, operational cycle, and time are often limited by batteries, the underlying hardware, and existing libraries. The variety of protocols and message types means a typical solution to unite them involves implementing bridge-adapters that are capable of transforming data into a common format.
Bridges are often seen as a pipe accepting messages and passing them to the next collector or adapter-bridge. The central business logic resides in the middle. Central logic responsible for accepting and handling all the messages. The replies are sent back, routed through the channels back to the device and client. A typical solution will require several type of adapters to be deployed. With an increasing number of bridges, fault tolerance requirements should be kept. At this point, cluster maintenance and monitoring becomes important task.
Modern internet technologies are constantly changing the way people communicate with each other. Various platforms and resources successfully connect producers and consumers, employers and job applicants, buyers and sellers. Social networks create communities and unite people who share common interests, from hobbies to business. The trading community is no exception.
What has changed?
For decades, POS workplaces have been built on standard PCs. Starting with DOS, then moving to other operating systems, COM-ports have been replaced by USB, but the situation hasn’t changed much: industrial PCs are put inside a specially designed computer casing.
Traffic accidents in the UK, 1979-2004.Whether you are a journalist, a researcher or a data geek, in order to start working with large data sets, you have to complete laborious tasks of setting-up an infrastructure, configuring an environment, learning new unfamiliar tools and coding complicated apps - with DC/OS you can start crunching those numbers within minutes. Let’s start with a problem of analyzing a set of data and take a road safety data from Great Britain, 1979-2004. While the data set might seem small, some of the analysis might require distributed processing and we should have an environment that allows our processing jobs to scale horizontally. To achieve this, we’ll be running a DC/OS cluster on top of a cluster of virtual machines. We’ll be using AWS EC2 in this scenario, but the same solution can be ported to other public and private clouds.
Why would one create a package?Once you get familiar with DC/OS, the open source project that was created by Mesosphere you get access to packages certified by Mesosphere. There are several ways to deploy your service into DC/OS: (1) use dcos marathon command in CLI; (2) use Marathon REST API directly; (3) deploy your service as a package. Using package approach makes your solution consistent with the environment and gives other benefits.
Anyone who has been abroad knows that currency conversion occurs whenever you pay with a credit or debit card. However, many don’t understand why charges are relatively high. To help explain the issue, let me explain how your payments happen overseas.
As soon as you return from your trip, you can compare receipts in foreign currency with your billing. A quick check will show that you have paid 5% more than you expected for the conversion. How did that happen?
The Third Annual Wearable Technology Show was held at London’s ExCel conference center on 15th-16th of March. There were over 140 exhibitors, nine tracks and more than 40 product launches to keep technology executives on their toes.
Healthcare & Life Science, Travel & Hospitality and Betting & iGambling Practices of DataArt exhibited at the event and demoed many of our concept products, examples of how technology brings business value. Here are some of them: KidPRO uses gamification to motivate and engage young patients while managing their own healthcare or participating in a clinical trial. MedAR is an augmented reality app that recognizes medications and provides all relevant information about it. Pills Adjutant simplifies medication adherence. Tiredness Checker helps users check their tiredness level. SmartBet and WatchSlots apps bring quick bets and slots to your wrist.
Information technology has always been full of surprisingly contradicting beliefs and every market, product or community has its own FAQ list or Top 10 Myths whitepaper. This week brought another “myth case” to my desk. Though it has been around for several years already, it is still hot. While my fellow database developers are busy completing another data warehousing project (“traditional” relational solution, by the way) for a travel firm, our marketing department approached me with the discussion of how we can define our new data warehousing offering. The question and concern was: “Hasn’t big data killed data warehousing already?”