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Enterprise Architecture: Secrets to Success

erwin

data protection, personal and sensitive data, tax issues and sustainability/carbon emissions)? Data Overload : How do we find and convert the right data to knowledge (e.g., big data, analytics and insights)? Review your current EA efforts and tooling. Why erwin for Enterprise Architecture?

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The most valuable AI use cases for business

IBM Big Data Hub

Creative AI use cases Create with generative AI Generative AI tools such as ChatGPT, Bard and DeepAI rely on limited memory AI capabilities to predict the next word, phrase or visual element within the content it’s generating. Generative AI can produce high-quality text, images and other content based on the data used for training.

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Regulatory Update: NAIC Summer 2018 National Meeting

Data Matters

NAIC Continues its Evaluation of Insurers’ Use of Big Data . The NAIC is also considering insurers’ use of big data in underwriting life insurance products. The Big Data (EX) Working Group heard a presentation from LIMRA regarding how insurers are utilizing consumer data in underwriting life insurance products.

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12 considerations when choosing MES software

IBM Big Data Hub

Manufacturing execution systems (MES) have grown in popularity across the manufacturing industry. If your manufacturing processes have become more intricate and challenging to manage manually, an MES can help streamline manufacturing operations management, increase efficiency and reduce errors.

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IG: The Whole Is More Than the Sum of Its Parts

Positively RIM

However, their training rarely includes information technology, managing Big Data, and system optimization. Some organizations lack adequate security expertise to counter outside hacking and internal pilfering of proprietary data. Conversely, technology specialists rarely train on the intricacies of law, compliance and privacy.

IT 40
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Leveraging high performance computing to help solve complex challenges across industries

IBM Big Data Hub

As semiconductor manufacturers look to innovate quickly, electronic design automation (EDA) tools can be a key asset. Whether it’s biotechnology, pharmaceutical or genomics, it’s especially important for life sciences companies to deliver innovations as quickly as they can to help as many people as possible.

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How data, automation and AI are transforming Business Process Outsourcing into a competitive advantage

IBM Big Data Hub

The new tools augmented the work of thousands of insurance agents, saving $1million in the first year of deployment, and increasing productivity by 5%. ” One car manufacturer, for example, opened up a conversation by asking about an upgrade to its data servers. Manik reframed the question.