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5 hot IT budget investments — and 2 going cold

CIO

This applies to his IT group as well, specifically, in using AI to automate the review of customer contracts, Nardecchia says. We will continue to reduce our investment and presence at our on-prem data center,’’ says Raju Seetharaman, senior vice president of IT and transformation at life insurance company Legal & General America. “We

Budget 363
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Enabling privacy and choice for customers in data system design

Lacework

This is particularly relevant when the data potentially includes user information, and the architecture must ensure hosting of the data complies with customer preferences or regulatory requirements regarding where the data is hosted. What regional data requirements or preferences should be considered?

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Data Virtualization Drives Volkswagen Pon Financial Services to Business Victory

TIBCO - Connected Intelligence

Today, it has grown into a top-class financial player in the automotive market, specializing in finance, leasing, insurance, and mobility. This growth has skyrocketed the company from a simple bank in the Netherlands to a global insurance leader. We can easily unlock data from multiple sources for any type of question.

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The role of self-service BI for business agility

Capgemini

Unfortunately, for many organizations, this change is slowed by internal issues, fiefdoms, and siloed data and systems. But for smart organizations that have sorted out data access and sharing requirements, self-service BI drives data literacy. It needed to teach people to fish in the data lake.

Agile 52
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Accenture’s Smart Data Transition Toolkit Now Available for Cloudera Data Platform

Cloudera

It outperforms other data warehouses on all sizes and types of data, including structured and unstructured, while scaling cost-effectively past petabytes. Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics. Ingested over 2,000 source system objects. Value Achieved.

Data 82
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Process Mining Explained: Techniques, Applications, and Challenges

Altexsoft

Process mining is a set of techniques for the analysis of operational processes based on event logs extracted from company’s databases, information systems, or business management software such as enterprise resource planning (ERP), customer relationship management (CRM), electronic health records (EHR), etc. What is process mining?

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MLOps: Methods and Tools of DevOps for Machine Learning

Altexsoft

It facilitates collaboration between a data science team and IT professionals, and thus combines skills, techniques, and tools used in data engineering, machine learning, and DevOps — a predecessor of MLOps in the world of software development. MLOps lies at the confluence of ML, data engineering, and DevOps.