Tag: machine learning

Feed: Big Data Made Simple. Author: Baiju NT. Recently, I interviewed Dejan S. Milojicic, an established researcher, technologist and former president of IEEE Computer Society, the world’s premier organization of computing professionals.Milojicic is the managing director of HP Labs’ Open Cirrus Cloud. He is also the founding editor in chief of Computing Now and an IEEE Internet Computing editorial board member. He teaches cloud management at San Jose State University, California. Milojicic received a Ph.D. from Kaiserslautern University, Germany, and has published two books, more than 120 papers, and been awarded 11 patents and 22 patent applications.Dejan S. Milojicic, an ... Read More

Feed: SAS Blogs. Author: Alena Tsishchanka. In my previous post, I suggested that it was possible to provide a road map that would help with the introduction of artificial intelligence, advanced analytics and machine learning into insurance companies. This post outlines the process. Start at the beginning The first area to address is applications where the adoption of analytics will have an immediate impact on cost reduction and efficiency. The obvious point is process automation. In many insurance companies, the first projects involving advanced analytics and machine learning models are the digitisation and optimisation of processes. These projects tend to ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: joni-rolenaitis; As one of the three major credit reporting agencies, Experian collects tons of data on individuals and businesses. From 3,000 sources of data we update 200 million records a month on that data.Our U.S. Business Information Services unit (BIS) has been around since 1978, so we like to say that we’ve been doing data in a big way since long before size mattered so much. Experian is also well-known for its data and analytics research and development. It maintains data labs all over the world staffed with mathematics ... Read More

Feed: AWS Partner Network (APN) Blog. Author: AWS Admin. By Shu He, Sr. Product Manager – Technical at AWSFor AWS Marketplace and our customers, 2018 was a big year! We had some exciting announcements at AWS re:Invent 2018, where we launched new categories for container products and machine learning. AWS Marketplace is a digital catalog of software products that makes it easy for customers to find, buy, and deploy software that runs on Amazon Web Services (AWS). The catalog has more than 4,500 product listings from over 1,400 Independent Software Vendors (ISVs) and more than 200,000 active customers. With 30+ new features ... Read More

Feed: Events. Author: . Keynote: How modern development powers business impactJoin Pali Phat, Google VP of Product & Design, for an interactive look at application development.Track 1: Serverless - build and ship applications fasterServerless is one of the hottest topics in the application development world today. The definition of serverless has evolved from functions, to databases, to machine learning and more. In this track, you will learn all you need to know about building full-stack serverless applications. Throughout the track, we will use serverless to quickly connect and extend cloud services and build a full-stack e-commerce web application in real ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. Bill Schmarzo, also known as the “Dean of Big Data” is CTO at Hitachi Vantara, and former CTO at Dell EMC. He authored a series of articles on analytic applications, and is on the faculty of TDWI teaching a course on "Thinking Like A Data Scientist". Bill is the author of “Big Data: Understanding How Data Powers Big Business” and "Big Data MBA: Driving Business Strategies with Data Science." Bill is also an Executive Fellow at the University of San Francisco School of Management, and Honorary Professor at NUI Galway at NUI ... Read More

Feed: SAS Blogs. Author: Francisco Olvera. Los sistemas de transporte son, sin duda, un importante factor para el crecimiento económico de un país. Cuanto más eficientes, ágiles, puntuales y seguros sean, mayor será su impacto en la movilidad de la población y las distintas actividades productivas. Las opciones son muy variadas: autobuses, microbuses, taxis, trenes, metro, tranvías, servicios compartidos (tipo DiDi o Uber); cualquiera que sea el medio que se utilice, las empresas del sector -públicas o privadas- buscan la manera de equilibrar la velocidad, la flexibilidad y el servicio, al tiempo de reducir los costos y mejorar sus ingresos ... Read More

Feed: Big Data Made Simple. Author: William Lucas. Improved performance is of prime concern for any business or enterprise, and companies in the 21st century are using business intelligence-gathering systems for this purpose. The order fulfillment cycles use the root cause or the post-mortem data analysis for the identification of the gaps. The growth of machine learning has helped the companies to analyze the transactional data in the real time.But what are the needs which strengthen the idea of technical changes in business and supply chain management?The potential loss of revenues, hike in the production and transportation costs, and lack ... Read More

Feed: The Connector by Workato. Author: Bhaskar Roy; Like any technology, automation is constantly evolving. In 2018, for example, we watched the rise of robotic process automation (RPA) and the incorporation of cognitive technologies like AI. As we move into 2019, which of these trends will remain relevant—and what will be the state of automation be next January? Here are five automation trends worth keeping an eye on. 1. A stronger focus on delivering high-quality experiences quickly, not just automating away rote work. Initially, businesses saw automation as a means of eliminating repetitive, manual tasks—and this perspective still dominates today ... Read More

Feed: All - O'Reilly Media. Author: Deepak Kanungo. Triangle (source: Pexels) Check out the live online training course "Probabilistic modeling with TensorFlow Probability" on February 27, 2019. This post originally published on Google's TensorFlow blog; it is republished here with permission. At Hedged Capital, an AI-first financial trading and advisory firm, we use probabilistic models to trade the financial markets. In this blog post, we explore three types of errors inherent in all financial models, with a simple example of a model in TensorFlow Probability (TFP). Finance is not physics Adam Smith, generally recognized as the founder of modern economics, ... Read More