Tag: IBM

Feed: IBM Big Data & Analytics Hub - All Content; Author: karan-sachdeva; Companies are entering “chapter two” of their digital transformation. The next chapter is all about moving from experimentation to true transformation. It’s about gaining speed and scale. We are helping businesses activate data as a strategic asset, with desire to maximize the impact of AI as core to the business strategy.To do so, businesses must explore AI and become comfortable with data science embedded into business processes. Early open source data science and AI proofs-of-concept are beginning to mature. Businesses leaders are starting to seek help on how ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: greg-adams; A few competitors are trying to sow doubt about IBM’s commitment to IBM TM1 and IBM Planning Analytics – which is powered by IBM TM1 – as well as the product’s future, and the implications of the latest upgrade. Let me set the record straight—IBM Planning Analytics isn’t going anywhere. In fact, IBM is increasing their investing in the offering, and will continue to do so, while leveraging the same robust IBM TM1 technology that has been the backbone of this product since its inception.Like any great product ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: jennifer-clemente; In just a short year and a half she’s helped build a demo to assist physicians in India to prioritize patients that are at higher risk for cardiovascular events and detect model. For Nedbank, she was part of two use cases to help their data science team optimize the bank’s ATM maintenance processes and predict fraudulent banking activity. Her first client engagement was building a model to help healthcare providers at Geisinger health identify high-risk sepsis patients.Learn more about Brittany Bogle in our new series profiling the technical ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Harrison Goode. In this article, we look at how technology such as robotic automation, artificial intelligence and machine learning is changing and benefiting the investment banking industry.Banks are made up of different areas. They have retail banking, which is about providing loans, bank accounts and other services to the general public. There is business banking which provides loans, banks accounts and other services to small businesses. Investment banking is a division of a bank that is far more complex and riskier than retail or business banking. It has several different areas: ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: roger-rea; IBM Streams was first available on May 15, 2009, exactly 10 years ago today. Happy anniversary!From System S to Streams IBM Streams evolved from a five-year collaboration between IBM Research and the U.S. government. The original goals were to: Create a system to ingest unprecedented volumes of data Analyze data arriving at extremely high velocity Handle a variety of data, both structured and unstructured. You can glean some Streams history from the IBM Research pages for System S project. The “S” was short for Streams, to play off ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: Kapost; Blog Streams v5.0 for IBM Cloud Private for Data (ICP for Data) provides a real-time engine within our data platform. The platform simplifies bringing artificial intelligence (AI) into your enterprise processes ... Read More

Feed: Planet big data. Author: Christopher Condo. The recent merger of CloudBees and Electric Cloud is a sign of the times in the world of DevOps as integrated DevOps solutions come back into vogue. Not too recently, this would have been looked down upon as a step in the wrong direction when it comes to innovation and providing value to developers. But why is that? What’s wrong with an integrated toolchain, and why is it taking so long for vendors and users to come around to them or for vendors to offer them? After all, DevOps as a term itself ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: thomas-lamonte; If you told an 8-year-old me that he’d grow up to loathe having conversations with robots, he would have said that was an impossibility. Like the flying car, chatting with machines was supposed to be a signal that yes, we are living in the future. But I’m all grown up now, and after five minutes on the phone with a chatbot, I’m desperate to pull the plug.I’m not the only one. Given the opportunity, customers prefer talking with real people over conversing with machines. According to research conducted ... Read More

Feed: Planet big data. Author: Abhijit Sunil. Success in the communications services sector is indeed a capricious piece of cheese. In it, every new technology advancement brings new business models, new security and sociopolitical debates, brand new industries of disruptors, and even new job roles for man and machine. As new technologies mature, the distinction between technology, media and telecommunications industries blur. Navigating this space to sustain growth and competitive edge is no easy task for the CxO. Decision makers need to wear many hats to be successful – that of a technologist, financial analyst, investment visionary and even showman ... Read More

Feed: Recent Announcements. IBM InfoSphere DataStage enables users to access data for business requirements, connect multiple data sources and targets, and integrate and transform large data volumes, to prepare data for insights.  Key benefits of deploying IBM InfoSphere DataStage on AWS include: Scalability in a containerized, Kubernetes-based, highly available architecture. Wide range of transformations for simple and complex integration tasks. High performance through enterprise-grade, parallel processing framework. To get started: To browse and launch other AWS Quick Start reference deployments, see our complete catalog. Quick Starts are automated reference deployments that use AWS CloudFormation templates to deploy key technologies on ... Read More