AI and RPA are only beginning to transform how business is done in the insurance industry. We can expect to see burgeoning usage in operations, customer service, risk assessment, and mitigation and regulatory compliance. Insurance companies are only beginning to harness the potential of artificial intelligence (AI) and robotic process automation (RPA). AI refers to computer systems that can mimic human capabilities by learning and solving problems. RPA is an emerging form of business process automation technology based on using software robots or AI "workers."
Artificial intelligence and machine learning may be ideal for picking up the day-to-day tasks of running enterprises, but still fall flat when it comes to innovation or reacting to unforeseen or one-off events. While enterprise-grade AI is still a ways off, it's incumbent on business and IT leaders to start piloting and exploring the advantages AI potentially offers. That's the word coming out of a recent report from the MIT Task Force on the Work of the Future, which looked at AI as part of a broad range of changes sweeping the employment scene and workplace. "We are a long way from AI systems that can read the news, re-plan supply chains in response to anticipated events like Brexit or trade disputes, and adapt production tasks to new sources of parts and materials," state the report's authors, David Autor of the National Bureau of Economic Research, along with David Mindell and Elisabeth Reynolds, both with MIT. For starters, data – the fuel that propels AI decision-making – is not ready for the leap.
For many of these steps, there are no real short cuts to be taken. The only way to build a minimum viable product, for example, is to roll up your sleeves and start coding. However, in a few cases, tools exist to automate tedious manual processes and make your life much easier. In Python, this is the situation for steps 4, 8 and 10, thanks to the unittest, flake8 and sphinx packages. Let's look at each of these packages one by one.
Central Learning, a web-based coding assessment and education application, released the results of the 4th annual nationwide ICD-10 coding contest. Central Learning is part of the Pena4, Inc. suite of health information and revenue cycle technology solutions for healthcare organizations. Manny Peña, RHIA, Founder and CEO of Pena4, Inc., announced today that Kristin Iovino from Lexington, Massachusetts, received $1,000 for achieving the highest average accuracy and productivity scores for outpatient cases. This year's contest focused on outpatient coding performance to address some of the challenges associated with the surge in outpatient reimbursement, coding errors and claim denials, with the goal of helping HIM, coding and revenue cycle teams pinpoint opportunities for improvement. Four years of coding contests have resulted in over 10,000 real medical record cases using Central Learning, a real-time, online coder assessment tool for HIM.
The quality of area covering 3D point clouds as captured by aerial and mobile mapping platforms still experiences a considerable boost due to the ongoing advancements in LiDAR technology and Multi-View-Stereo-Matching (MVS). In addition to further enhancement of the respective accuracy, density and reliability the semantic segmentation of these point clouds come more and more into focus. Also triggered by the astonishing improvements in the field of pattern recognition and machine learning, automatic interpretation of area covering point clouds including tasks like object detection and classification or object-dependent filtering and smoothing is moving rapidly to a mature state. In view of these developments, the meeting brings together experts from industry, academia and national mapping agencies to present and discuss the processing and evaluation of point clouds focusing on mapping purposes. The program will provide a mix of invited speakers from industry, academia and governmental organizations as well as presentations selected on an abstract based review process.
Artificial intelligence (AI) can transform the productivity and GDP potential of the UK landscape. But, we need to invest in the different types of AI technology to make that happen. Our research shows that the main contributor to the UK's economic gains between 2017 and 2030 will come from consumer product enhancements stimulating consumer demand (8.4%). This is because AI will drive a greater choice of products, with increased personalisation and make those products more affordable over time. Labour productivity improvements will also drive GDP gains as firms seek to "augment" the productivity of their labour force with AI technologies and to automate some tasks and roles.
Click here to read the full article. The following essay was produced as part of the 2019 Locarno Critics Academy, a workshop for aspiring film critics that took place during the 72nd edition of the Locarno Film Festival. Artificial intelligence is everywhere: It can drive a car, chat with customers, or help patients with neuronal damage to recover their potential. But if data-assisted moviemaking can help predict a movie's outcome, what room is there left for artistic freedom? At this year's Locarno Film Festival, Sami Arpa, CEO and co-founder of Largo Films, a startup based in Lausanne, Switzerland, and creator of the LargoAI technology, shared his insight about the evolution of this maybe-not-so-unnatural union.
The following essay was produced as part of the 2019 Locarno Critics Academy, a workshop for aspiring film critics that took place during the 72nd edition of the Locarno Film Festival. Artificial intelligence is everywhere: It can drive a car, chat with customers, or help patients with neuronal damage to recover their potential. But if data-assisted moviemaking can help predict a movie's outcome, what room is there left for artistic freedom? At this year's Locarno Film Festival, Sami Arpa, CEO and co-founder of Largo Films, a startup based in Lausanne, Switzerland, and creator of the LargoAI technology, shared his insight about the evolution of this maybe-not-so-unnatural union. At Locarno last year to present sofy.tv, a VOD service for short films, Arpa recalled, "I was approached by industry professionals, mostly producers and distributors, who asked me if the AI developed for sofy could be used for their own purposes, to help them predict a movie's outcome. A few directors also approached me, although they were much more skeptical at first."
We all know Elon Musk to be a very ambitious guy. I mean, seriously, the guy has a company which specializes in electric car manufacturing, you've heard of Tesla, right? He also runs an aerospace manufacturing and space transportation services company called SpaceX. I am sure you've heard about it in the news or somewhere else. SolarCity, a solar energy company, now owned by Tesla.