"It was clear that we needed a transparent view across all our channels—even up to our suppliers—and that an integrated, enterprise-grade OMS was the optimal way to achieve it."
"With the IBM SPSS solution, we can now instantly narrow down target audiences by 50 percent."
“We wanted to minimize dependencies so that companies using other technologies would see no potential barriers to adoption. This drove our search for a database- and DCS-agnostic optimization engine that would offer sufficient performance and flexibility for the extreme demands of the cement industry."
“We did not have a good assessment of what our needs were in terms of deferred maintenance for buildings or for infrastructure. Every campus did a good job of trying to assess their needs, but there were no common standards in doing that.”
"By collaborating with the campuses to implement the ICAMP asset management system and FCA process, we knew we could deliver a better view of our deferred maintenance needs. But, like all digital transformation journeys, we knew it would take time, persistence and teamwork."
"Early on, we realized we were producing the data necessary to form a new, paradigm-shifting foundation for deferred maintenance and portfolio management at UC. The promise of credible data was becoming real."
“We built the risk classification and scoring prioritization framework predicated on two main components: likelihood of failure and the consequence of failure. Together, these two dimensions would allow us to quantify the risk of an asset failing; this would also solve the problem of an unprioritized deferred maintenance list and …
"IBM Services has been an invaluable source of support to Siemens, and we look forward to working together to bring the benefits of Workday solutions to all our global employees."
"Everyone worked together seamlessly as we tested the solution on a real blade—and IBM even made changes to the code on the fly. The project was an undisputed success, and IBM is the perfect partner for Siemens Gamesa."
"We expect a payback period of about two and a half years for our Azure-based production system. And we expect the business case to get better and better as we add more functionality and see more secondary benefits."
“Most of it is textual and very sensitive data that cannot be shared freely. However, this huge amount of data needs to be shared, especially with the COVID-19 situation. So how do you analyze the data so that privacy and security are not violated."
"We wanted stability and we wanted a market leader in the AI space. We found that in IBM, but we also found a partner that would collaborate with us, that was willing to sit down with us and help us grow."
"After implementing digital banking channels, we needed to scale the platform up to cope with the unpredictable high workloads coming in."
“If you’re using Amazon Alexa, developers can look into your conversations. I wanted to have an enterprise solution which the user could control.”
"As third-party data becomes more restrictive, first-party data is becoming essential. Marketers need to take control by utilizing first-party data from their best customers, accessing this data by using SherloQ with IBM Watson."
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