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Kern Health Systems' tech infrastructure revamped by Cognizant
| July 20, 2016
Ensyst is a Microsoft-focused company providing award-winning IT professional and managed services and solutions throughout Australia with a track record of delivering outstanding and innovative Microsoft solutions.
Article | August 15, 2020
In Augmented Apps, we examine how product teams are exploring AI and Machine Learning to make their products more intuitive and enhance the user experience. Artificial intelligence is transforming products in surprising and ingenious ways. Whether it’s core to the product, as with a stock market forecasting algorithm in Quants, or a peripheral component, such as a healthcare domain chatbot that diagnoses diseases via dialog with a patient, building reliable AI components into products is now part of the learning curve that product teams have to manage.
Article | February 27, 2020
Wouldn’t it be great if you’d know where to find prospects that are most likely to buy? Or what’s bugging them to delay buying? If it was possible to get insights on the purchase-intent of your buyer? Or if they are truly looking to buy? Most businesses spend huge amounts on advertising campaigns and still don’t come any close to meet their intended targets. If you’re looking to shoot a bulls-eye, landing huge B2B buyers from profiling alone is an imprecise way. This is where Intent Data comes in. Intent is an efficient tool that helps B2B marketers in precise prospect targeting based on their behavior when in the purchase cycle. Are you receiving mixed signals from your buyers? Intent Data is the solution. And it’s burying traditional marketing ways deep into oblivion. These tactics are widely adopted (40% to be precise) by B2B marketers around the world. But the information on ‘intent data’ has is found to be random, scattered and disconnected. Getting the customers’ buying journey mapped and monitored is becoming a sophisticated task for marketers today.
Article | August 11, 2020
Organizational leaders worldwide agree that data governance is important. However, data governance programs in most companies are still being planned or in progress. In a 2020 Dataversity report¹, only 12 percent of companies had fully implemented programs, while 38 percent of programs were a work in progress, and 31 percent were just getting started.
Artificial Intelligence (AI) definitely tops the list of important themes for the drone industry. From data management to flight automation, AI has been part of the description. But how exactly does AI power processes like industrial inspections? An integration between a drone data management platform and an AI company serves as an example. Drone inspections generate a lot of images, huge quantities of data. While not all of those images are useful, all of them need review in order to identify a potential defect – like finding a needle in a haystack. That’s where AI can help – significantly reducing the human effort required to find that one important image from thousands of others.
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