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How IBM and AWS are partnering to deliver the promise of AI for business

IBM Big Data Hub

In today’s digital age where data stands as a prized asset, generative AI serves as the transformative tool to mine its potential. AWS’s scalable infrastructure allows for rapid, large-scale implementation, ensuring agility and data security.

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Don’t Follow the Money; Follow the Customer!

Bill Schmarzo - Dell EMC

However this infatuation with following the money can actually lead organizations astray, and make the vulnerable to disruption and disintermediation from more nimble, more customer-focused organizations. Customer experiences are unsatisfactory. Customer outcomes are questionable, or are downright wrong.

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Application modernization overview

IBM Big Data Hub

skills and infrastructure) Duplicative capabilities (including data) resulting in duplication of business rules and the like give rise to inconsistent customer experience. Discovery focuses on understanding legacy application, infrastructure, data, interaction between applications, services and data and other aspects like security.

Cloud 98
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How to Take Your Business to The Next Level with Data Intelligence

erwin

With tools such as Artificial Intelligence, Machine Learning, and Data Mining, businesses and organizations can collate and analyze large amounts of data reliably and more efficiently. Enhance customer experience. Businesses are also able to use such information to provide customers with user-centric customer experience.

Analytics 103
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Utilities Digital Journey Insights (Part 3): Data, the new “digital capital” - Going beyond the hype of advanced analytics and AI

CGI

Emerging trends are creating numerous opportunities to unlock new customer experiences and business models for the digital economy, with advanced analytics serving as the differentiator in achieving operational, commercial and customer engagement excellence. Advanced analytics and automation: The business focus.

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Don’t Follow the Money; Follow the Customer!

Bill Schmarzo - Dell EMC

However this infatuation with following the money can actually lead organizations astray, and make the vulnerable to disruption and disintermediation from more nimble, more customer-focused organizations. Customer experiences are unsatisfactory. Customer outcomes are questionable, or are downright wrong.

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The importance of data quality in Financial Services

Collibra

These data quality issues in financial services directly impact customer experience, interactions, and transactions, resulting in higher costs and lost revenue. Data quality issues lead to bad decisions and weak strategic planning, leading to higher expenses and lost customers. Pattern mining. Correlation analysis.