Author: IBM

Feed: IBM Big Data & Analytics Hub - All Content; Author: john-thomas; As communities and businesses worldwide look to understand the economic impact of COVID-19 and prepare for an eventual recovery, the biggest test of decision-making will be the data that will inform the business decisions. Was it trusted? Was it timely? Was it enough?To date, there are many efforts to release COVID-19 dashboards that can give us a hint on what to do next. They include health conditions, COVID-19 cases, death rates and demographics, sure, but no source has been able to deliver data on risk, readiness and recovery—until ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: kip-yego; Many enterprises have a tangled data management system, comprised of an assortment of products assembled together, in an attempt to meet the complex needs of modern day data management. The labyrinth of convoluted data management systems often evolves as a natural response to data growth, diversity of data types, and varying needs based on business objectives. Furthermore, the adoption of artificial intelligence (AI), and the expansion of digital transformation leads to further complexity in data, an explosion in data quantity, and a heightened velocity with which insights need ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: brad-miller; There are some people, like me, who like to know how the story ends and thus may occasionally read the last chapter before going back and reading the rest of the book. So, I guess this is a spoiler alert. The answer to the question is, “Netezza is still alive, well and evolving and IBM has now come out with the next generation of Netezza as part of Cloud Pak for Data System.”There were some decisions about two years ago which led me to believe that Netezza was ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: anup-gandhi; Accurate product details and descriptions shape buyer and user behavior. These details – product size, weights, descriptions, reviews, certifications, etc – make the products findable to address shopper needs and allow for comparison. The need extends across industries, including both traditional products one could buy in a store, and less tangible products and services, such as credit cards, loans or cell phone plans that one could find in the financial services or communications industries. In all cases, organizations find that accurate product details – Product Information Management (PIM) – ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: adam-woods; Merging creativity, data and technologyUsing data to shape new messaging or find new prospects is core to our business, but we wanted to do more, and do it better. In markets continually roiled by disruption and innovation, we needed to help our clients move beyond transactional relationships toward cultivating deeper, longer engagements, using data to forge authentic interactions between brands and customers. Our ultimate goal at Wunderman Thompson was to build our machine learning and AI capability so we could create more accurate models and scale that capability ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: Anonymous; ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: emma-tucker; Artificial Intelligence has penetrated every industry in some form or another. From powering recommendation engines for consumer products to helping extend credit products in a more efficient manner, AI is becoming an imperative that no C-level executive can choose to delay. Even amid the COVID-19 pandemic in the last few months, we have seen encouraging use of AI for tracking the spread of disease as well as accelerating the discovery of vaccines.As businesses start to scale the use of AI as a transformative power to innovate and be ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: mukta-singh; Data is the key to improving your business decisions, but does all your data work together seamlessly, no matter the source or where it resides?As organizations become more data-driven, they need to manage large volumes of data in a simplified and cost-effective way in order to remain competitive and nimble. Data stored in various data repositories, whether it be generated by client-facing applications or different internal and external processes, many times,have large integration, governance and ease of use issues, resulting in large expenditures and complex processes. To stay ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: jennifer-clemente; In the airline industry, timing and synchronization are everything when it comes to the customer experience. Mitigating unforeseen circumstances against customer expectations and good old supply and demand are all issues well within the wheelhouse of AI’s predictive capabilities.It’s no wonder that Deutsche Lufthansa AG, Germany’s largest airline, recognized early on that with the right data and AI strategy, it could enhance the customer experience and better empower its employees while achieving operational excellence. In less than two years, the airline has quickly moved from AI proof-of-concepts to ... Read More

Feed: IBM Big Data Hub Blog; Author: david-marmer; DRAFT – EMBARGOED UNTIL 9:00AM ET, May 20, 2020 IBM Brings Affordable Planning AI to the SMB By: David Marmer Navigating through disruptions comes with the territory when your job is managing and planning the operations of everything from supply chains and finance, to sales and marketing. But for the small and medium-sized business (SMB), the ability to plan and forecast future performance with a high degree of confidence can be critical. This week, IBM is rolling out a new version of our Planning Analytics powered by TM1 solution, called Planning Analytics ... Read More