Taking a Closer Look at Intelligent BPM Software

#artificialintelligence

Intelligent Business Process Management Suites (iBPMS) is defined by Gartner as having capabilities such as validation (process simulation, including "what if") and verification (logical compliance), optimization, and the ability to gain insight into process performance have been included in many BPMS offerings for several years. The iBPMS market today is the natural evolution of the earlier BPMS market, except with added features (above) making it possible for greater intelligence within business processes. In light of this, we recently spoke with Miguel Valdes Faura, Founder and CEO of Bonitasoft, about iBPM software to help provide a more depth definition. He's also provided us with some insight into iBPM solutions, where Robotic Process Automation (RPA) comes into play, and his views on the marketplace. MF: There are a lot of AI related technologies that are complementary to BPM when it comes to improve business processes and applications efficiency, compliance and continuous improvement.


Internet of Things and Bayesian Networks

@machinelearnbot

As big data becomes more of cliche with every passing day, do you feel Internet of Things is the next marketing buzzword to grapple our lives. So what exactly is Internet of Thing (IoT) and why are we going to hear more about it in the coming days. Internet of thing (IoT) today denotes advanced connectivity of devices,systems and services that goes beyond machine to machine communications and covers a wide variety of domains and applications specifically in the manufacturing and power, oil and gas utilities. An application in IoT can be an automobile that has built in sensors to alert the driver when the tyre pressure is low. Built-in sensors on equipment's present in the power plant which transmit real time data and thereby enable to better transmission planning,load balancing.


Artificial intelligence virtual consultant helps deliver better patient care

#artificialintelligence

WASHINGTON, DC (March 8, 2017)--Interventional radiologists at the University of California at Los Angeles (UCLA) are using technology found in self-driving cars to power a machine learning application that helps guide patients' interventional radiology care, according to research presented today at the Society of Interventional Radiology's 2017 Annual Scientific Meeting. The researchers used cutting-edge artificial intelligence to create a "chatbot" interventional radiologist that can automatically communicate with referring clinicians and quickly provide evidence-based answers to frequently asked questions. This allows the referring physician to provide real-time information to the patient about the next phase of treatment, or basic information about an interventional radiology treatment. "We theorized that artificial intelligence could be used in a low-cost, automated way in interventional radiology as a way to improve patient care," said Edward W. Lee, M.D., Ph.D., assistant professor of radiology at UCLA's David Geffen School of Medicine and one of the authors of the study. "Because artificial intelligence has already begun transforming many industries, it has great potential to also transform health care."


Apple iPhone 8's 3D Face-Scanning Feature Revealed In HomePod's Firmware

International Business Times

Developer Steve Stroughton-Smith tweeted Sunday revealing that the HomePod firmware has confirmed a rumored iPhone 8 feature. The iPhone 8 is expected to feature an infra-red front camera with 3D face unlocking capability, according to the tweet. Stroughton-Smith further revealed that Apple will have a biometric kit for developers while another iOS developer Guilherme Rambo confirmed that the iPhone 8 will have an edge-to-edge display with a large screen-to-body ratio. All these revelations have been sourced by the developers from the firmware of the company smart speaker, the HomePod. Stroughton Smith had also revealed some HomePod features confirmed by the same firmware last week.


Google Assistant can order around LG's connected appliances

Engadget

LG has placed its trust on Google Assistant and has given it the power to control its smart appliances. While it teamed up with Amazon earlier this year to give its refrigerators built-in access to Alexa, its partnership with Google is much bigger in scale. Now, you can control any of the company's 87 WiFi-connected smart home appliances by barking out orders through a Google Home speaker or through a compatible iOS or Android smartphone. Once you're done setting voice control up through LG's SmartThinQ app, you can use commands within a Home speaker's range or through a phone to tell your fridge to make more ice or to tell your AC to adjust the temperature. If you have an LG washing machine, you can ask Assistant how much time is still left before your load is done.