Is CDI about to embark on a long journey to reinvent Itself? There is no arguing that artificial intelligence (AI) and natural language processing (NLP) are making inroads in the healthcare revenue cycle, creating better efficiencies with the automation of a multitude of historically manually performed tasks, thereby reducing positions that were once performed by staff. AI is clearly beginning to take hold and make significant inroads in the clinical documentation integrity (CDI) space. I have noticed serval posts on LinkedIn, as well as in Becker's Healthcare e-newsletters, discussing the role of AI in the revenue cycle. Just recently, there was a blog post published in KevinMD titled "How an AI bot transformed my EHR experience (KevinMD blog)" centering on how AI streamlined the provider's documentation and charting in the electronic health record (EHR) by scanning through the documentation as the note is being completed, providing suggested diagnoses with associated ICD-10 codes.

That's because machine learning and artificial intelligence are assistive technologies that supplement (not replace) an attorney's role.

Robots have rolled into retail, from six-foot-tall free-moving machines spotting spills in Giant Foods Stores to autonomous shelf-scanners checking inventory in Walmart. At Lowe's, the home improvement chain, a "LoweBot" in some stores can answer simple questions, such as where to find items, and can assist with inventory monitoring. The real benefit of retail robots is the opportunity to capture more granular data about the products on the shelves and customer buying patterns, which can increase efficiency and accuracy in inventory management. The key is using retail robots as data-collectors within an internet-of-things (IoT), which is best thought of as a complex network of connected devices, objects, and sensors gathering voluminous data that is analyzed in the cloud or with edge computing, which uses nearby servers to lower latency. From manufacturing to transportation and now retail, IoT creates an intelligent digital ecosystem.

Artificial Intelligence (AI) is making inroads in the financial services sector, but not without difficulty, and there's still a lot of work to be done before it reaches its potential. This is according to a new report called Smart Money: How to drive AI at scale to transform the financial service customer experience, recently published by the Capgemini Research Institute. The report states that AI is being used at scale among financial services organizations to improve the overall customer experience (CX). Approximately half of customers now interact with an AI on a daily basis, and banks are reaping the benefits: they've reduced cost of operations (13 percent) and increased revenue per customer (10 percent). However, while banks may be reaping the benefits, the customers – not so much.

Transport operators Ryder System Inc., NFI Industries Inc. and the U.S. supply-chain arm of German logistics giant Deutsche Post AG are working with Ike Robotics Inc., a San Francisco-based startup that plans to offer its automated trucking technology through a software subscription model. Those fleets, along with others whose names the startup didn't disclose, are collectively reserving the first 1,000 heavy-duty trucks powered by Ike's technology, the companies said Tuesday. Top news and in-depth analysis on the world of logistics, from supply chain to transport and technology. New Jersey-based NFI, whose services include port trucking and intermodal truck-rail transport, is evaluating how autonomous trucks would integrate with its dedicated trucking operations moving freight from customers' warehouses to retail stores. Self-driving big rigs could handle longer highway portions of those regional runs, such as the 250-mile trip between the Dallas-Fort Worth area and Houston, said NFI President Ike Brown.

The astonishing speed of digital disruption today calls for new and emerging technologies that are capable of long-term value creation. Poised at this intersection of digital revolution, business and accelerated scientific discovery, leaders across verticals have formulated a vision to begin their transformative journey. Though laggards at the beginning, the pharmaceutical industry has eventually started taking advantage of new-age technologies in areas from clinical trials to manufacturing. AI is already known to be speeding and improving the drug discovery process, owing to its capability of sifting through and making sense of heaps of scientific data related to research and development. It has also started making inroads into newer and more diverse areas like drug manufacturing and supply chains, which are the least explored in the Life Sciences space, yet have the capability to offer maximum benefits.

Malcom Finlay (Bart's Health Centre, London, UK) reviews the growing role of artificial intelligence (AI) in diagnosing arrhythmias. Johnny, a 72-year-old film producer, is meeting clients when his watch gently vibrates notifying him of his irregular pulse. He pressed his finger to his strap, and with a swipe sends the single lead ECG to his cardiologist without pausing the meeting. The AI delivered backbone powering self-diagnostics and wearables is invisible but always present: AI is taking over the medical world. Or so it would seem.

Artificial intelligence (AI) and machine learning (ML) is an integral part of our daily lives today. From Siri, IBM Watson, Google services like search, maps, photos, etc all translate to artificial intelligent (AI)-powered products, and services that have made inroads into every aspect of our personal and professional lives. Think and answer'Does your company see AI as a threat or an opportunity or both'? Do you think it's a fair question to ask? It's like asking a manufacturer at the end of the 19th century, the impact of electricity on business. Just like any foundation technology be it electricity, internet or Blockchain, AI can be applied in many different ways and it impacts every business differently.

Large automotive OEMs can boost their operating profits by up to 16% by deploying artificial intelligence at scale in their manufacturing. Despite this potential, the industry is making slow progress in taking AI from experimentation to enterprise deployments. One of the primary reasons for this is many OEMs don't know what use cases to focus on. But new Capgemini research reveals prime opportunities in the areas of manufacturing and operations. We analyzed 45 AI use cases across different functions – from R&D to customer/driver experiences – to assess which provided the greatest benefits.

Tokyo-based Drone Fund has invested in the Aerodyne Group, a Malaysia-based drone service provider with offices in 10 nations around the world. The amount of the investment was not disclosed. In addition to resources the deal will give Aerodyne access to the Drone Fund's stable of innovative drone-related entrepreneurs as well as its established technology partners, Aerodyne said in a statement. "This partnership with Aerodyne is important for the drone start-ups we have invested in to make further inroads into the growing Asian market and beyond. Aerodyne is truly a leading industry solution provider with DaaS (Drone as a Service) and SaaS (Software as a Service) solutions that leverage the power of AI (artificial intelligence)," said Soki Ohmae, a Drone Fund executive board member.