Tag: IBM

Feed: IBM Big Data & Analytics Hub - All Content; Author: paul-rivot; The Hadoop landscape looks a little different after Cloudera and Hortonworks’ recent announcement of a $5.2 billion merger.According to the Hortonworks press release, “the combination establishes the industry standard for hybrid cloud data management, accelerating customer adoption, community development and partner engagement.” News outlets are already buzzing about the possibilities as seen in this CNBC video.  As with all mergers, it will take time. The merger’s completion is slated for the first quarter of 2019 and, in the interim, the companies will continue to operate as two separate ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: karan-sachdeva; The business that gets there first won’t necessarily win digital and AI game. It will be the one that ingrains digital and AI in its business as much as possible. Starting from applying intelligent data science where it matters most and progressively using it in every aspect of the business. In the modern banking environment, consumers are well informed. They expect intuitive, engaging and informative experiences when they bank. Banks need solutions that can help them delight their customers with personalized experiences, empower their workforce to provide differentiated ... Read More

Feed: Planet NoSQL. Author: Keshav Murthy. Here's what I remember from John Chambers' impressive 2014 keynote at Cisco Live. Not all of his predictions have come true. IoT/IoE has a long way to go to become a multi-trillion dollar industry. Cisco didn't turn out to be like IBM, HP or Dell, but much better than all of them. What I remember the most is what happened after the speech. As the crowd was leaving, I saw a group congregating near the stage. They were are all surrounding John Chambers. He was in no hurry to go anywhere. People were talking ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: jennifer-clemente; James Wade, director of application hosting at Guidewell and IBM Analytics Director of Platform Offerings Hemanth Manda spoke with Dave Vellante in New York City on the eve of the 13 September taping of the Win with AI digital broadcast about the challenge of the velocity of change to enter the new era of AI and machine learning.For insurance company Guidewell, managing sensitive data on its members behind the firewall is no easy feat. With IBM Cloud Private for Data, IBM is looking to help organizations get ready for AI ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: sajan-kuttappa; The global healthcare industry is undergoing a fundamental transformation as it moves from a volume-based business to a value-based business. With increasing demand from consumers for enhanced healthcare quality, healthcare providers and insurers are under pressure to deliver better outcomes. Primary care physician and nursing shortages require overworked professionals to be even more productive and efficient. The cost dynamics of healthcare are changing, driven by people living longer, the pervasiveness of chronic illnesses and infectious diseases, and defensive medicine practices. New market entrants and new approaches to healthcare delivery ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Paul Black. Harvard Business Review has regareded data scientist as the sexiest job of the 21st century. In this article, with the assistance of Octoparse V7, we aggregated the resources and tools that you may need to become a data scientist.1. Learning resources: Courses, Degrees/Certificates, Books; 2. Tools: Data Extractors, Data Analytics, Reporting. 3. Data Science Competitions/Programs 20 Online Courses about Data Science 1. Data Science Specialization Creator: John Hopkins University This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: doreen-dunn; Overview Interested in learning more about AI? In this special, bonus episode of Making Data Simple, host Al Martin talks with Pradeep Kutty, IBM analytics business unit executive, and Roger Hong, offering manager for IBM Cloud Private for Data. The trio talks about how to implement AI, machine learning and deep learning. Hear Al's definition of each--did he get it right?--and why it is important to always keep pushing the boundaries in these areas. They will also chat about the AI Community Day live virtual event taking place ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: noah-kuttler; For years, the virtues of the public cloud have been extolled from the highest mountaintops across all industries. It seems that most businesses have heeded the advice take advantage of what the cloud has to offer.Aberdeen reports that nearly 80 percent of businesses in their study are now using public cloud. But that still leaves more than 20 percent of businesses that are not availing themselves of its benefits. Some may look upon this with a certain level of shock, given how prominent the push to add cloud ... Read More

Feed: Hadoop Dev. Author: Nagapriya Tiruthani. Data is the new oil. Like crude oil, data is not useful when it is raw. But once it is refined and cleansed, the analytics done with it can enable deep analytics and open up new opportunities for your business. To make data simple and easily accessible, we are excited to bring Data news by combining news from Db2, Db2 Big SQL, Big Replicate, and other data news… Product news: 1. Hortonworks and Cloudera publically announced a definitive agreement to merge to create World’s leading next generation data platform Watch the CNBC video to ... Read More

Feed: Actian. Author: Pradeep Bhanot. Over the past two decades data warehouse solutions have evolved and diverged to address a myriad of use cases. Meanwhile, the pace of business continues to accelerate, making it harder to remain competitive. These new demands can stretch the abilities of traditional data warehouses. Below are 5 of the common pitfalls that can trip up traditional data warehouses.Currency: As the demands for organizations to operate in real-time or in the moment increase, data warehouses need to deliver ever more current data. SQL Hadoop databases commonly fail to handle continuous streams of updates as the file ... Read More