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Mastering budget control in the age of AI: Leveraging on-premises and cloud XaaS for success 

IBM Big Data Hub

In this blog, we’ll explore how businesses can use both on-premises and cloud XaaS to control budgets in the age of AI, driving financial sustainability without compromising on technological advancement.

Cloud 63
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Overcoming data obstacles in the banking industry with Industry Accelerators in Cloud Pak for Data

IBM Big Data Hub

In the wake of COVID-19, our banking clients are likewise looking to data science and AI to address four specific challenges: providing an extreme customer experience, mitigating operational risks, reducing operating expenses, and maximizing resource efficiencies.

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IBM named a Leader in the latest Forrester Wave™ report for AI Decisioning

IBM Big Data Hub

IBM Automation Decision Services is designed to enable organizations to combine prescriptive business rules with predictive models to help them make more informed operational decisions to improve customer experience and make organizations run more effectively.

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Delivering business value for insurance companies

Collibra

Given the data-intensive nature of their operations, it is natural that many insurance companies are looking towards the cloud as an infrastructure choice to help enable more agile data operations. Drivers for cloud adoption. Data governance holds key to cloud migration.

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Organize Master Data, Personalize Customer 360: Learn from the Top Industry Experts

Reltio

If connected and personalized customer experience is your immediate goal, and if you want to know everything about achieving it, look no further. With over 40 sessions featuring 60 speakers, the summit has three tracks – Modern Data Management, Personalize Customer 360, and Healthcare & Life Sciences.

MDM 53
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How to build a successful AI strategy

IBM Big Data Hub

Whether it’s deeper data analysis, optimization of business processes or improved customer experiences , having a well-defined purpose and plan will ensure that the adoption of AI aligns with the broader business goals. This alignment is essential for extracting meaningful value from AI and maximizing its impact.

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Four use cases defining the new wave of data management

IBM Big Data Hub

The rapid growth of data continues to proceed unabated and is now accompanied by not only the issue of siloed data but a plethora of different repositories across numerous clouds. The challenge, of course, is the added complexity which hinders the actual use of that data for analysis and AI. Read the eBook.