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What is a data architect? Skills, salaries, and how to become a data framework master

CIO Business Intelligence

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Communication and political savvy: Data architects need people skills.

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Belcorp reimagines R&D with AI

CIO Business Intelligence

The R&D laboratories produced large volumes of unstructured data, which were stored in various formats, making it difficult to access and trace. The team leaned on data scientists and bio scientists for expert support. That, in turn, led to a slew of manual processes to make descriptive analysis of the test results.

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Real estate CIOs drive deals with data

CIO Business Intelligence

But in reality, some of the largest, most established realty franchises, such as Re/Max and Keller Williams, have made all the right moves, pursuing digital transformations built on the cloud and primed to make the most of emerging AI opportunities. Data Management, Digital Transformation, Machine Learning

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WEBCAST: AI Transforming the Future of a Digital Enterprise

bridgei2i

Modern-day enterprises are trying to Sense, Learn, and Act to use these data for better CX, OE, or to execute whole New Business Models. Data, when coupled with the power of AI can make enterprises better understand customer needs, enhance CX, optimize processes, and improve productivity.

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Examples of IBM assisting insurance companies in implementing generative AI-based solutions  

IBM Big Data Hub

IBM® watsonx ™ AI and data platform, along with its suite of AI assistants, is designed to help scale and accelerate the impact of AI using trusted data throughout the business. The most common insurance use cases include optimizing processes that require processing large documents and large blocks of text or images.

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Adoption of Automated Sales & Underwriting Strategies can Transform Insurance

bridgei2i

As face to face contact, operating offline offices, physical audits and ancillary processes face constraints; these increasingly move to the digital bandwagon. In days ahead, digital transformation will be the saviour and guide of the industry. Importance of capturing market data for optimized pricing models.

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Five Strategies to Accelerate Data Product Development

Cloudera

PoS and transaction data to optimize supply chain operations). A growing desire for self-service analytics among internal data consumers and knowledge workers, external partners and clients. a technology choice such as Spark Streaming is overly focused on throughput at the expense of latency) or data formats (e.g.,

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