Keeping up with modern business
Business analysts today are expected to deliver insights and decisions on demand. Yet with continually increasing data complexity and volume, business analysts find it more and more challenging to produce accurate results in a timely fashion.
A common business hurdle
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
This story is part of Analytics Heroes, a series of profiles on leaders transforming the future of business analytics.
Shortly after the United States declared a state of emergency, IBM responded by creating an interactive Incidents Map found on the Weather Channel app, and developing an
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
In early 2018, I had a conversation with some of my leadership team about what we could build to address our client’s most pressing needs. We knew data was growing at an exponential rate, and analytics were critical. Our decision was to build a data and AI platform, one single platform that clients
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
Around the world, companies are pivoting to adjust to an entirely new reality. Business-as-usual means something far different today than it did just a few months ago. For most enterprises, digital transformation isn’t just a distant business objective—now it’s an imperative to find new ways of
India’s current patient to physician ratio prevents thousands from receiving individualized care needed. iKure has developed a network of facilities with an integrated EMR system that brings care to rural communities in India, Vietnam, and Africa at an affordable and convenient way.
The data science market is evolving rapidly. Businesses need to respond to a volatile climate and be able to scale cost-efficiently by automating AI lifecycle management. A key phase in the AI lifecycle is model selection, training, and deployment. Many data scientists and developers today want to
The integrity and trustworthiness of data or any other master entity is enforced via data quality rules. Customers no longer want to rely on hand crafted rules that can number in the thousands, which in turn also need a lot of maintenance.
Riding on the machine learning (ML) wave, customers can
As we grow smarter and more sophisticated, thanks to rapidly enhancing technological innovations, enterprise data management and analytics have to keep pace to ensure organizations continue to remain effective and data- and insights-driven.
Let’s not underestimate the sheer scale of the problem
Data is the fuel, cloud is the vehicle, AI is the destination. The intersection of these three pillars of IT has been the focus of IBM. Through the launch of IBM Cloud Pak for Data, our modern data and AI platform, we have containerized numerous offerings and delivered them as
CIOs and other technology innovators are boldly leading their companies through change during this unprecedented time. As IT leaders make their journey to the cloud and prepare their business for the future, greater application modernization and agility is needed to meet these new marketplace
Today's manufacturing organizations operate in a dynamic environment characterized by increased complexity and uncertainty. The financial performance of manufacturers hinges on their ability to rapidly adapt to constantly-changing conditions, from demand fluctuations to delivery challenges while
Prescriptive analytics helps identify the best course of action that can enable businesses to achieve organizational goals. Although figuring out what you should do is a crucial aspect of business, the value of prescriptive analytics is often missed. There is still an inclination to “go with the