Tag: cognitive computing

Feed: Featured Blog Posts - Data Science Central. Author: Vinod Sharma. Abstract – Big data helps to make strategy for future and understand user behaviors. In 1959, Arther Samuel gave very simple definition of Machine Learning as “a Field of study that gives computer the ability to learn without being explicitly programmed”. Now almost after 58 years from then we still have not progressed much beyond this definition if we compare the progress we made in other areas from same time. The idea of FinTech adopting some best practices from the Big Data and AI (Artificial Intelligence , Machine Learning and Deep Learning) ... Read More

Feed: Planet big data. Author: Sandeep Raut. We are all familiar with machine learning in our everyday lives. Both Amazon and Netflix use machine learning to learn our preferences and provide a better shopping and movie experience. Artificial intelligence (AI) has stormed the world today. It is an umbrella term that includes multiple technologies, such as machine learning, deep learning, and computer vision, natural language processing (NLP), machine reasoning, and strong AI. Organizations are using machine learning for various insights they want to know about consumers, products, vendors and take actions which will help grow the business, increase the consumer ... Read More

Feed: All - O'Reilly Media. Author: Adam Michael Wood. Pyramid pattern. (source: Pixabay) In "Learning to Love Data Science," Mike Barlow looks at how organizations are using data science to turn information into wisdom and business value. Download a collection of free chapters from "Learning to Love Data Science." We are swimming in data. Or possibly drowning in it. Organizations and individuals are generating and storing data at a phenomenal and ever-increasing rate. The volume and speed of data collection has given rise to a host of new technologies and new roles focused on dealing with this data, managing it, ... Read More

Feed: Planet big data. Author: Jaco Rossouw. Here's a blog post covering some of the most frequently asked questions we get on Machine Learning and Artificial Intelligence, or Cognitive Computing. We start off with "What is Machine Learing?" and finish off with addressing some of the fears and misconceptions of Artificial Intelligence. So, what is machine learning? A simple search on Google for the answer will yield many definitions for it that leave most non-analytical people confused and entering more "What is..." statements into Google. So, I asked our Head of Marketing to try his hand at defining Machine Learning in the most ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: john-sprague; Data already is the new currency and is at the heart of everything digital. I like to repeat the adage, “Data becomes Information, becomes Knowledge, becomes Wisdom”.  And “It’s all about the data”.  So why do we send up probes, sensors or satellites —  for the data?I’d like to touch upon some mission critical projects showing how NASA is using Big Data in a variety of ways to accomplish its goals: Quantum Artificial Intelligence Laboratory (QuAIL) and quantum computers NASA's Pleiades Supercomputer performing modeling and simulation Distributed Active ... Read More

Feed: Planet big data. Author: Sandeep Raut. As mentioned by Tom Davenport few years back, Data Scientist is still a hottest job of century. Data scientists are those elite people who solve business problems by analyzing tons of data and communicate the results in a very compelling way to senior leadership and persuade them to take action. They have the critical responsibility to understand the data and help business get more knowledgeable about their customers. The importance of Data Scientists has rose to top due to two key issues: ·     Increased need & desire among businesses to gain greater value ... Read More

Feed: Latest imported feed items on Analytics Matters. All artificial intelligence methods today are around machine learning modeling and use some form of sophisticated correlation or association method, which can be approximated to brute-force robot learning. It is about reverse engineering existing features/patterns and providing useful “forward engineering” solutions like: Self-driving cars Detecting diseases from X-rays/MRIs Robots in manufacturing Chatbots for customer service Insert your future application here. The logic is that X event follows Y, or if X event occurs with Y in historical and simulation data, so today we can create automated models around it and use the ... Read More

Feed: Allegro CL General / Technical Announcements. Author: cnorvell. In this issue Intel Monte Story Webcast "Temporality in Graphs" Tech Corner Article: New external format support in Allegro CL 10.1 Recent articles Miller School Researchers Help Push the Limits of Programming Languages in Biology - http://med.miami.edu/news/miller-school-researchers-help-push-the-limits-of-programming-languages-in-/ Classes Intel Solution Brief - Montefiore Creates Data Analytics to Advance Patient Care Free Webcast - A Time Machine for your Graph Tech Corner Article: New external format support in Allegro CL 10.1 Recent Articles about Franz Miller School Researchers Help Push the Limits of Programming Languages in Biology Follow us on Google Plus, Twitter, ... Read More

Feed: AllegroGraph - THE Semantic Graph Database. Author: cnorvell. In this issue Intel Solution Brief - Montefiore Creates Data Analytics to Advance Patient Care Free Webcast - A Time Machine for your Graph Gruff v7.0 Now Available! Franz Inc. named to the DBTA 100 - The Companies That Matter Most in Data The Semantics 2017 Conference - Amsterdam, September 11-14 The Text Analytics Forum 2017 - Washington DC, November 8-9 Recent Articles about Franz Follow us on Google Plus, Twitter, LinkedIn, and YouTube Intel Solution Brief - Montefiore Creates Data Analytics to Advance Patient Care Like all healthcare organizations, Montefiore ... Read More

Feed: Planet big data. Author: Sandeep Raut. Customer analytics has been one of hottest buzzwords for years. Few years back it was only marketing department’s monopoly carried out with limited volumes of customer data, which was stored in relational databases like Oracle or appliances like Teradata and Netezza. SAS & SPSS were the leaders in providing customer analytics but it was restricted to conducting segmentation of customers who are likely to buy your products or services. In the 90’s came web analytics, it was more popular for page hits, time on sessions, use of cookies for visitors and then using ... Read More