2978 IBM Testimonials

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  • “The criticality of improving the quality and flow of data has been one of the most important challenges of the COVID response. Being able to design, build, deploy and then evolve a production grade, high volume, data interchange solution in any organization can be challenging but successfully doing this during a (hopefully) once in a generation pandemic is truly outstanding and couldn’t have been achieved without world class teamwork and focus on both delivery and outcomes.”

  • "Box will empower us to help our clients build homes they have always dreamed of, while maximizing productivity and minimizing waste."

  • “We deployed more and more connectivity during the pandemic, and 5G changed that, We knew we needed to deliver a highly reliable connectivity that goes beyond humans, where machines can communicate with each other and do simple things remotely.”

  • “There were a lot of product capabilities that we didn’t utilize, and one of the reasons we invested in the Maximo platform was its built-in potential to expand as we needed it to.”

  • "Expensive to maintain and proprietary to the vendor that developed it and we wanted to get off that system."

  • “In a dynamic co-creation phase, our team has successfully integrated watsonx.ai’s gen AI into our existing Oxogen solution currently running on OpenAI’s ChatGPT. In IBM watsonx.ai we are utilizing the open-source model Llama 2 and this is a significant step for us, since we were looking for an open alternative that could deliver on a similar quality and with potential to be used in enterprise-grade production environment. We are now working towards fully incorporating watsonx.ai’s gen AI into Oxogen’s production pipeline. We are confident that this tight integration, coupled with custom adaptations in line with our data processing requirements, will yield substantial performance boost. The next step of collaboration between IBM and Oxide AI involves specialized language models taking advantage of Oxide’s unique multi-year financial data assets that will drive more value and competitive advantage than generalized LLMs.”

  • “IBM watsonx.ai has an intuitive, secure workflow that enables immediate access to major open-source models, which were primary candidates for us to test and evaluate. The platform has been effectively utilized by both data scientists for more extensive testing and experimentation via Python SDK, as well as by the content team, who were able to swiftly complete prompt engineering and configurations to assess output quality using watsonx.ai.”

  • “Our Netox Trust cybersecurity services provide visibility into their unknowns, and our playbooks help them respond when an attack happens. We enable business continuity so our customers can focus on their core business.”

  • “Energy use is a primary expense across the organization and accounts for about half the Victorian water sector’s total carbon emissions.”

  • "Establishing MIA was the right thing at the right time. MIA is always accessible and available to visitors in real time."

  • “We based our storage choices on IBM’s long experience in the field and its strong product development."

  • "The supply chain for renewable products is quite different from that of the traditional oil business. It was in many ways a new kind of business, and we needed a new foundation to build it on."

  • “That’s why transparent, end-to-end visibility of the data has really become the core element of our business.”

  • “States had to procure power beforehand. This meant they had to know precisely how much power was required every day, every hour and in 15-minute time blocks. It was a problem.”

  • "We’ve shown that by analyzing individual machine status data at the edge, we’ve created the basis for autonomous manufacturing equipment, in which the machine operates under the optimum conditions. The next step in this progression is to integrate multiple machines in the cloud to enable autonomous manufacturing at the factory-wide level."