Tag: Industries

Feed: Featured Blog Posts - Data Science Central. Author: William Vorhies. Summary:  Let’s start by clarifying the difference between RPA (Robotic Process Automation) and IA (Intelligent Automation).  Then we’ll show why AI/ML inside Intelligent Automation is the secret sauce that really makes this work. As we’ve tracked the adoption of AI/ML across industries the application that always seems to lead is RPA (Robotic Process A..., sometimes also referred to as IA (Intelligent Automation).  The problem with giving credit for AI/ML adoption to RPA is that RPA historically has meant robotic process simplification.  That is, processes were indeed automated but it ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: William Vorhies. Summary:  Some industries are a clear slam-dunk for AI/ML applications and some less so.  The legal, regulatory, and compliance businesses (law firms, internal legal departments, and the contract review and regulatory compliance departments of heavily regulated industries) fall in this last category.  This is a review of seven companies found by TopBots to be successful; pointing to opportunities others can follow. Remember just a few years ago when we were looking forward to now or a little beyond and imagining what applications AI/ML would have in different industries.  Some ... Read More

Feed: CronJ. Author: Nupur Pal; What are the two things that come to your mind when you step on the road? We can bet that they are safety and security. And why won’t they occur to you. We tend to live in a world when anything can happen at any point of time. Therefore, newer technologies are evolving to improve these two words. AI in security solutions is one such technology.AI has provided some concrete security solutions to many industries. Software like AI video analytics and IoT help to improve surveillance facilities. Furthermore, we can say that AI is our ... Read More

Feed: CIO. Author: . Hands-free, heads-up computing is making inroads across a range of industries, thanks to the emergence of extended reality (XR) — the catch-all technology category that comprises augmented reality (AR), virtual reality (VR) and mixed reality (MR). Companies are embracing XR for a variety of business purposes, from repairing jetliners and optimizing manufacturing to training employees and providing remote assistance to field service staff.With AR, employees access information via smartphones, tablets and heads-up displays, with software overlaying digital images and text atop physical objects in the real world. With VR, applications running on headsets immerse users in a digital ... Read More

Feed: CIO. Author: . Nearly every company that has gone through a digital transformation has struggled with how to best utilize the vast amounts of data being collected. Indeed, we estimate that for most companies, 85%-95% of data is never fully utilized, and therefore wasted. There are many stages in a data lifecycle, including acquisition of the data, creation of data engineering/data sets to impart meaning to the raw data, bulk storage of the data for further use/analysis, database creation for exploring the data, and finally capability to use advanced analytics and/or Machine Learning to extract insights from the data ... Read More

Feed: CronJ. Author: Nupur Pal; AI Security – An IntroductionWe live in a digitally evolving world. It provides us with a lot of advantages. The economy is blooming and so is our drive for work. But this advancement has also come with many threats. Crimes like theft, vandalism, bombing and terrorism have increased. Moreover, we live in a constant fear these days. Therefore, public security departments are using AI security to reduce these crimes. Artificial intelligence or AI belongs to the computer science field. It is a mere yet prime branch of that huge field. The goal of AI is ... Read More

Feed: SAS Blogs. Author: Katie Tedrow. This blog post is part three of a series on enhancing your natural language processing. The series is co-authored with my colleague Sundaresh Sankaran, product manager for Text Analytics at SAS. A corresponding webinar series is also available on-demand. The first article in this series covered the "hybrid approach” to text modeling. In the second article, we covered key text analytics discovery techniques. Life with conversational AI Conversational AI applies many of the techniques shared in our previous natural language processing articles like rules-based machine learning and the hybrid approach as well as text ... Read More

Feed: Teradata Blog. A 2015 Fortune Magazine article titled “Trust is the most powerful currency in business” shows a picture of two hands-shaking. Roll the calendar forward five years when artificial intelligence and advanced analytics are increasingly pervasive, the entities involved in forming “trust” have evolved to include machines. As the data available to the insurance industry continues to balloon, lack of trust in data and algorithms is a major hindrance to further innovation and transformation. This article discusses shifts underpinning the insurance business that AI will drive and the corresponding trust challenges. The desire to expand AI is largely financial ... Read More

Feed: CronJ. Author: Nupur Pal; An Introduction to AI TechnologyWe live in a world guarded by walls. And these walls are then guarded by men with arms. Aaron Sorkin’s lines describe what border security is. And it also states its importance. The fact that these men with arms fight tirelessly for our safety, is praiseworthy. This work tires both the body and the mind. Thereby, AI technology is helping to take some burden off their shoulders. Artificial Intelligence doesn’t need an explanation. This technology has made a replica of human beings. When machines are infused with AI they can think, ... Read More

Feed: AWS Public Sector Blog. Author: Dr. Deep Medhi. Many of the fundamental breakthroughs such as detecting gravitational waves, genetic editing, changing the course of the Ebola outbreak and tracking down the origin of mass (the Higgs boson discovery) were made possible not only due to the strong federal support for research but also via advancements in the underlying computing and information technologies. Today, there is an exponential increase in data volume from simulations, sensors, observatories, satellites, and large scientific instruments such as the Vera Rubin Observatory (few hundreds of petabytes), High Luminosity Large Hadron Collider (anticipated to enter the ... Read More