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Enterprise Architecture: Secrets to Success

erwin

M&A, new markets, products and businesses). Emerging Markets : What opportunities align to our business (e.g., 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.,

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The most valuable AI use cases for business

IBM Big Data Hub

Not only will this help scale the AOT tech across markets, but it will also help tackle integrations including additional languages, dialects and menu variations. Automotive With applications of AI, automotive manufacturers are able to more effectively predict and adjust production to respond to changes in supply and demand.

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

IBM Big Data Hub

Technologies such as AI and automation have transformed the outsourcing market and BPO services, giving companies the ability to create efficiencies while also modernizing processes rather than relying on offshore outsourcing. ” One car manufacturer, for example, opened up a conversation by asking about an upgrade to its data servers.

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Leveraging high performance computing to help solve complex challenges across industries

IBM Big Data Hub

For example, competitive pressures, regulatory reporting, security demands and market swings can all require financial services institutions to be able to reassess risk quickly. In the era of data and generative AI , HPC is key to processing data and generating insights quickly.