To meet the complexity of global challenges during uncertain times, data agility is critical to our client’s success. We work with our clients by focusing on their data quality and governance so they can adapt to changing market forces, stay competitive and become more resilient.
As coined by British mathematician Clive Humby, "data is the new oil." Like oil, data is valuable but it must be refined in order to provide value. Organizations need to collect, organize, and analyze their data across multi-cloud, hybrid cloud, and data lakes. Yet traditional ETL
Turning raw data into improved business performance is a multilayered problem, but it doesn’t have to be complicated. To make things simpler, let’s start at the end and work backwards. Ultimately, the goal is to make better decisions during the execution of a business process. This can be as simple
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
Africa is no stranger to the challenges of infectious diseases. Since 2015, hawse have addressed the likes of Bubonic Plague, Dengue Fever, Ebola, Measles, Middle East Respiratory Syndrome (MERS), Yellow Fever, and Zika Virus—at the cost of hundreds of thousands of lives across the continent. As
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
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
Today’s market conditions elevate the need to put trusted data into the right hands almost in real-time. The market has been experiencing a dramatic demand for near-frictionless, fact-based decision-making processes. With business continuity top of mind, leaders are turning to DataOps programs to
Describing the breadth of IBM's leadership and experimentation in the data and AI space is no small task. IBM has been working with more than 200 production blockchain networks, thousands of regulatory documents and datasets across industries, and hundreds of AI research projects. This vast
As an open, Kubernetes-based, data and AI platform, IBM Cloud Pak for Data integrates with an array of technology solutions that enhance organizations’ ability to make their data ready for AI. Among those core to the platform are DataOps capabilities that help operationalize data protection, data
Data breaches have far reaching consequences. They pose a significant financial cost in lost business, fines, and remediation, often averaging 3.92 million USD according to a study by the Ponemon Institute. Their impact on an organization's reputation spans many years. An organization's first step
The best data catalogs can automate the process to collect, classify and profile data to ensure the highest standards of quality. Here are three popular use cases detailing why companies are moving towards IBM’s Watson Knowledge Catalog.
How much time do your data scientists and business analysts spend looking for the right data? How much time do they spend preparing data? And how much time is wasted because they don’t know how trustworthy the data they find is; they find several people have unknowingly spent time looking for the