"Our vision is to provide the best data and tools that empower tomorrow’s energy innovators to forecast and optimize distributed energy assets and thereby contribute to the transition to a fully renewable and robust energy system."
"Responsible use of AI is incredibly important … IBM watsonx.governance gives us the tools to maintain data privacy as our development and use of AI expands."
"We’re now able to gain a deeper understanding of our customers and build intimate relationships with every customer. The rapid increase in the level of personalization has significantly improved response rates and increased customer retention."
"With watsonx.data integrated into Argos, our platform has significantly powered up, simplifying and enhancing our customer experience remarkably."
“Our mission is to produce and market while respecting the balance between man and nature, and to do that, we need to take care of the entire supply chain, from the birth of the animal to the food on your table.”
“We recognized that performing inventory and logistics planning on behalf of our retail partners was a perfect opportunity to build brand recognition with consumers across the country—especially for our new Colombina 100% products. At the same time, we knew that performing complex analysis at scale would place enormous demands on …
“We’re able to transfer this feeling of comfort to our customers and encourage them to work with a bank that cares about their investments and their information.”
"Approaching the data problem with fixed sensors is just not scalable given the complexity of the installation process. And manual methods are just not effective or efficient. Neither provides the value that you really want from big data analytics tools."
"AI models with special skills for interacting with people ensure a natural flow of conversation. This reduces the bank’s workload by more than 50%. Today we are on the way to becoming an autonomous bank."
“We identified our distributed x86 environment as one giant constraint: we were spending a tremendous amount of time and money on support. There were near-constant security updates and software patches to manage, and we were continually replacing old hardware across hundreds of servers in dozens of racks.”
"From a cost perspective, IBM Netezza SaaS on AWS really nailed the economics of a cloud data warehouse. From an effort perspective, the migration was straightforward lift and shift—allowing us to easily migrate data and redirect our BI-layer without making any changes to our reports or dashboards."
"The team at Boston Scientific theorized that it could use blockchain technology to provide real-time information to key players across its medical device supply chain network."
“The cloud allows us to vary our costs based on the ebb and flow of business. We also believe that cloud providers have made significant investments in keeping their solutions safe and secure, which goes hand-in-hand with our first priority, cybersecurity.”
"The people are a huge part of the selection process and why we chose IBM.”
"AI is no longer an experimental subject for us. Everyone is now AI ready, and that’s a real game changer for us."
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