Author: IBM

Feed: IBM Big Data & Analytics Hub - All Content; Author: aliye-ozcan; Nearly every business is under competitive, disruptive, and regulatory pressures. As companies face digital transformation and modernization to meet their customers’  expectations, leveraging data and AI at the speed of business can be the biggest differentiator.However, according to MIT Sloan, 81 percent of organizations don’t understand their data because it’s locked in silos. Much of the data remains inaccessible, untrusted or unanalyzed, providing little-to-no value. Cloud and mobile adoption has accelerated the pace of data creation and increased the number of locations where data can reside. Yet many businesses ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: karan-sachdeva; In my last blog post, I covered how you can deliver an AI pilot in just eight weeks and at the same time design your program in a way to scale the AI across your enterprise.  Culture, architecture and technology is fundamental to move from AI pilot to AI @ Scale. I also discussed how IBM is helping one of biggest ANZ-region banks to do AI @ Scale to deliver personalized offers using a bot to automate risk modeling and crediting the money in their customers’ accounts. It ... Read More

Feed: Hadoop Dev. Author: Nagapriya Tiruthani. Announcing the immediate availability of Db2 Big SQL on Cloudera’s platform, CDH v6.2.  Extending the recent support on CDH v5, Db2 Big SQL will now add support to Cloudera Distributed Hadoop (CDH) v6.2 platform along with Hortonworks Data Platform (HDP) v2.6 & v3.1. Db2 Big SQL is an advanced SQL engine optimized for advanced analytics in a Big Data environment. IBM infuses the power of industry leading Db2 in open source technologies for machine learning, interactive, adhoc and batch analytics use cases.  The core capabilites of a mature SQL engine brings enterprise SQL capabilies to Big Data platform ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: eric-hausken; Blog The best decisions are made by extracting value from all the disparate data across your business. Yet aggregating data across external sources, regional silos and various forms of storage is not an easy challenge to solve. Data-powered businesses need always-on access to data to keep operations ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: holly-vatter; The best decisions are made by extracting value from all the disparate data across your business. Yet aggregating data across external sources, regional silos and various forms of storage is not an easy challenge to solve. Data-powered businesses need always-on access to data to keep operations moving smoothly and to stay competitive. As data infrastructures grow more distributed, many companies rely on complex hybrid and cloud environments, often from a combination of vendors and platforms across multiple regions. Companies with big data require solutions for continuous availability and ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: priyanka-jain; Data is not just a valuable resource today—it is fueling digital transformation at organizations worldwide. Yet only 15 percent of all businesses get the value they need from their data. And for the rest of them, 80 percent of their data remains locked in silos or is not business-ready. With the ever-increasing growth in data, this opportunity to drive digital transformation is slipping out of hands for those who aren’t able to manage their data. But you can’t manage data if you don’t know what it is or ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: roger-sanders; For the past nine years, Stack Overflow, a question-and-answer website for programmers, has polled developers to understand what technologies they are using and to find out what technologies they want to work with next. This year, the nearly 90,000 survey participants revealed that, once again, Python has risen in the ranks of language popularity. Python earned fourth place, edging out Java and underscoring the claim that it is the fastest-growing programming language in use today. SQL, a standardized language used to work with relational databases, came in third.  ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: eric-hausken; Blog In a previous blog, I explained how data science capabilities, massive parallel processing (MPP) and usability improvements in data warehouse appliances can help the bottom line—and why old-fashioned architectures might not cut it. But what does that look like in practice? Research firm Quark + ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: vikram-murali; On the heels of the announcement of IBM Cloud Paks, we just introduced IBM Cloud Pak for Data System, a hyperconverged system for the IBM data and AI platform. Cloud Pak for Data System is based on Intel x86 and combines storage, computing, networking and software into a single system that can help businesses reduce complexity and increases horizontal scalability through the Red Hat OpenShift Container Platform.Built-in data virtualization gives you access to data without the need to move it, so you can gain insights into your data ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: holly-vatter; In a previous blog, I explained how data science capabilities, massive parallel processing (MPP)and usability improvements in data warehouse appliances can help the bottom line—and why old-fashioned architectures might not cut it. But what does that look like in practice? Research firm Quark + Lepton recently published a report where they compared two data warehouse appliances: the IBM Integrated Analytics System (IAS) and Teradata IntelliFlex. What they found is a 45 percent lower TCO on average for IAS over five years. The two are separated by a fundamental ... Read More