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How AI is fueling the growing market for cloud-based data unification

Reltio

Data fragmentation and silos are common challenges faced by various industries, including financial services, insurance, B2B, and retail. Financial institutions struggle with regulatory compliance, while insurance companies face inefficiencies in underwriting and claims due to siloed data.

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How deep industry expertise enables breakthrough technology for today’s complex business needs

IBM Big Data Hub

Major industries, such as financial services, healthcare, retail and telecom and media, made their initial leap to cloud over a decade ago. The overall engagement supports the company’s decarbonization goal to cut greenhouse gas (GhG) emissions intensity by 25% by 2030.

Cloud 69
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How to choose the best AI platform

IBM Big Data Hub

trillion to the global economy in 2030, more than the current output of China and India combined.” This creates both a challenge and an opportunity: how can retailers seamlessly weave together hybrid shopping experiences that comprise online, in-store, mobile and virtual channels within a single customer journey?

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The Economy of Things: the next value lever for telcos

IBM Big Data Hub

The number of IoT connected devices are growing in practically every industry, and is even predicted to reach 29 billion worldwide by 2030. Vertical data platforms owned and operated by telcos and targeting a specific industry such as automotive, agriculture or financial services already exist today.

IoT 51
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Conversational AI use cases for enterprises

IBM Big Data Hub

billion by 2030. This growth trend reflects mounting excitement around conversational AI technology, especially in today’s business landscape, where customer service is more critical than ever. In the back end, these platforms enhance inventory management and track stock to help retailers maintain an optimal inventory balance.