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Business process management (BPM) examples

IBM Big Data Hub

Benefits: Automated claim processing Reduced processing times Enhanced visibility Compliance and risk management By automating routine tasks and implementing predefined rules, BPM enables timely compliance with regulatory requirements and internal policies.

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5 Testing Best Practices for IBM i DevOps

Rocket Software

By implementing automation as often as possible, building knowledge bases full of tests, and creating triggers to test new code as it is introduced, your operations will have the structure and flexibility needed for optimal CI/CD testing. . This simplifies compliance management and provides a secure way to develop and test code. .

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How to accelerate your data monetization strategy with data products and AI

IBM Big Data Hub

This growth could be internal cost effectiveness, stronger risk compliance, increasing the economic value of a partner ecosystem, or through new revenue streams. Realize: Instrument the data product services to enable adherence to risk and compliance controls with event and metrics data integrated to financial management.

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Ways to Develop a Cybersecurity Training Program for Employees

Security Affairs

While employees do not need to be compliance specialists, they should have a fundamental understanding of their company’s privacy policies, data handling procedures, and the impact of data privacy laws on their organization. That leaves organizations in a tough spot and struggling to meet compliance requirements.

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EU Commission Issues Draft AI Regulation

Data Matters

The Draft AI Regulation foresees maximum administrative fines of up to €20m or 4% of total worldwide annual turnover in the event of non-compliance. The techniques listed in Annex I include machine learning approaches, logic and knowledge based approaches and statistical approaches (including search and optimization methods).

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Leveraging generative AI on AWS to transform life sciences

IBM Big Data Hub

Life sciences industry has—for decades now—moved from the traditional discovery-based drug development to target market-based drug development paradigm. Yet, it is burdened by long R&D cycles and labor-intensive clinical, manufacturing and compliancy regimens. in 10 years, from 2012 to 2022.

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Exploring the AI and data capabilities of watsonx

IBM Big Data Hub

In this blog, I will cover: What is watsonx.ai? sales conversation summaries, insurance coverage, meeting transcripts, contract information) Generate: Generate text content for a specific purpose, such as marketing campaigns, job descriptions, blogs or articles, and email drafting support. What capabilities are included in watsonx.ai?