Your data and AI tools are important, and outcomes are critical, but with today’s data-driven world, businesses must accelerate outcomes while improving IT cost efficiency. But how do you achieve this?
First, Data and AI initiatives must have intelligent workflows where the data lifecycle can work
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
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.
The Business Application Research Center (BARC) is an independent company and guarantees neutrality towards all software vendors.
In their latest report, BARC Score: Integrated Planning & Analytics Portfolios for planning, reporting and analysis, their overall findings are
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.
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
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
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
With COVID-19 and the current market uncertainty, every business leader is under unprecedented pressure to cut their expenses while still ensuring business continuity - no one, more so than the CIO. Enabling this new reality of virtual collaboration, automation and self-service while supporting the
Today, it’s slightly inaccurate to say that “open source is the future.” Open source is here, and it has already won. Open source has been adopted by nearly every business discipline, allowing developers to solve their problems effectively with more flexibility and freedom. In enterprise business,
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
Whether it’s an oncoming storm causing shoppers to stay home, or icy roads leading to shipping delays, weather has a significant effect on all industries. In fact, a study from the IBM Institute for Business Value (IBV) found that 100 percent of surveyed C-suite leaders believe weather impacts at
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
Staying at the forefront of digital transformation means embracing constant change. It’s about staying nimble to customer demands, tapping into the pulse of a shifting market, and taking actions on insights as they’re developed. All of this can be made possible through continuous intelligence (CI
Cloud Pak for Data, IBM’s leading data and AI platform, partners with Figure Eight to help companies address this growing sensitivity around data and make sure that security lies at the heart of any data-driven AI strategy.