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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)? Compliance and Legislation : How do we manage uncertainty around legislative change (e.g.,

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The most valuable AI use cases for business

IBM Big Data Hub

By infusing AI into IT operations , companies can harness the considerable power of NLP, big data, and ML models to automate and streamline operational workflows, and monitor event correlation and causality determination. Manufacturing Advanced AI with analytics can help manufacturers create predictive insights on market trends.

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Delivering responsible AI in the healthcare and life sciences industry

IBM Big Data Hub

With today’s new generative AI products, trust, security and regulatory issues remain top concerns for government healthcare officials and C-suite leaders representing biopharmaceutical companies, health systems, medical device manufacturers and other organizations.

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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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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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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. Developing new breakthroughs in life sciences As the amount of data available in life sciences grows, so do the opportunities to make key discoveries that have the potential to make a real impact in people’s daily lives.

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

IBM Big Data Hub

It’s his role to help leaders take a step back and look at the big picture: “Don’t focus solely on what to adopt next,” he says, “but ask yourself why you need it in your operating model.” ” One car manufacturer, for example, opened up a conversation by asking about an upgrade to its data servers.