At IBM, we understand both the exponential benefits AI can offer your organization as well as the unique challenges implementation can present. In 2018, we formalized the AI Ladder to provide a prescriptive approach to successful AI, and to impart lessons we've learned through over
At a point in the not-too-distant future, AI will comprise an integral part of everyday business tools. But you need not wait for tomorrow, because, IBM Cognos® Analytics puts AI in the hands of users today to help them prepare, analyze, visualize their data and share insights
COVID-19’s devastating impact on health and the global economy also has a silver lining: an opportunity to tackle climate change.
Enter wind and solar – rapidly growing sources of renewable, affordable and available energy in Europe. As the EU mobilizes to support green energy
It could be said there’s really no wealth but health itself, but in rural India, some 840 million people are challenged by obtaining the healthcare they need. For the average citizen, just getting to a medical appointment might require a day-long journey. Inadequate infrastructure
Right now, businesses are focused on getting the most out of their Data and AI platform without overspending to make sure it is operational and running productive workloads. This means having an always-on, 24x7 system that can handle huge spikes in workloads when needed. Many
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
When planning for a day of business, how do you calculate the numerous factors that may affect your bottom-line revenue? For Serco, a company which operates a bike-sharing service throughout London, the answer was in their data.
We live in the age of connectivity. Everyone and everything is constantly connected; yet, in most organizations, business unit planning operates in silos. This fragmented approach is often the result of spreadsheet-driven planning processes, which impede collaboration.
As we enter a new era of
IBM Watson Knowledge Catalog (WKC) provides a modern machine learning (ML) catalog for data discovery, data cataloging, data quality, and data governance. Within this framework lies a central Knowledge Catalog that serves as a single source of truth for data engineers, data stewards, data
As companies progress on their Journey to AI, there is considerable focus on what needs to be available to build AI driven applications. The rungs of the AI ladder, which are best described as Collect, Organize, Analyze, Infuse, and Modernize are designed to strengthen a company’s
Today, we are pleased to announce the general availability of IBM Cloud Pak for Data V3.0. Over the past two years we have advanced our platform from a collection of mostly IBM data services to a robust end-to-end data & AI solution that serves, along with the other IBM Cloud Paks. With V3.0,
In today’s digital world, there is a guiding principle when it comes to enterprise information management – data privacy. Every regulation builds around it and CIOs consider it a common-sense business practice that is built into the fiber of their IT systems. Let’s think about the daunting
For years, IBM’s Netezza proved to be an excellent option for companies to run advanced analytics on a single data warehouse appliance without needing to set up and configure a traditional data warehouse. When IBM decided to replace Netezza with Db2 Warehouse, some companies didn’t want to make
Modern Data and AI application deployments are expanding through open source containers and hybrid multi-cloud support, but how can you achieve the benefits of infrastructure optimization and unified operationalization without vendor lock-in?
In this era of increasing AI/ML workloads and the need
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