Remove Digital Transformation Remove Optimization Remove Risk Remove Statistics
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Psst… Are You Doing Digital Transformation All Wrong?

CIO Business Intelligence

It’s essential for business leaders to monitor work, track progress, and steer execution on a continuous basis with full visibility into potential risks and impacts, so priorities and allocations remain aligned with changing demands. Digital Transformation You can’t just set the plan for a quarter and forget it.

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MRO spare parts optimization

IBM Big Data Hub

These supplies include everything from large infrastructure items such as turbines, generators, transformers and heating, ventilation and air conditioning systems to smaller items like gears, grease and mops. Many asset-intensive businesses are prioritizing inventory optimization due to the pressures of complying with growing industry 4.0

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An intro to innovation in the U.S. government

CIO Business Intelligence

Governments cannot put their head in the sand and ignore change, but they operate in a highly complex, data-sensitive environment and can’t afford to take on fundamental business risks in the name of innovation. You don’t have to risk resiliency to embrace innovation. Digital Transformation

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Belcorp reimagines R&D with AI

CIO Business Intelligence

Finally, our goal is to diminish consumer risk evaluation periods by 80% without compromising the safety of our products.” It’s worth noting that each initiative carried its own unique complexity, such as varying data sizes, data variety, statistical and computational models, and data mining processing requirements.

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10 highest-paying IT jobs

CIO Business Intelligence

Companies can’t ignore digital transformation as technology continues to dominate nearly every aspect of business and daily-life. Relevant skills for a systems architect include risk management, performance optimization, security, leadership, and a strong knowledge of complex computer systems.

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Adoption of Automated Sales & Underwriting Strategies can Transform Insurance

bridgei2i

The unprecedented circumstances surrounding pandemic have increased awareness around insurable risks across different financial losses that can be covered as everyone in the world have faced financial losses like unemployment, travel cancellation, health issues, business interruptions, etc.

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

IBM Big Data Hub

The most common insurance use cases include optimizing processes that require processing large documents and large blocks of text or images. Currently, using this data for modeling risk involves manually-intensive efforts, and AI capabilities are underutilized.