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Financial planning & budgeting: Navigating the Budgeting Paradox

IBM Big Data Hub

Why budgeting feels like a marathon Just like marathon training takes months of preparation, crafting a budget involves a lot of data collection, metrics analysis, resource allocation and collaboration. To ensure these scenarios remain actionable, they should be updated regularly based on the latest data and insights.

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Big California Privacy News: Legislative and Enforcement Updates

Data Matters

As a provider subject to CMIA, mental health apps would be subject to HIPAA-like constraints on their ability to use and share data collected and will have increased litigation exposure, as CMIA includes a private right of action. Review status of Service Provider agreements. Consult with IT re Global Privacy Control signals. .

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Top 7 Data Governance Blog Posts of 2018

erwin

The Top 6 Benefits of Data Governance. www.erwin.com/blog/top-6-benefits-of-data-governance/. GDPR went into effect for businesses trading with the European Union, including hefty fines for noncompliance with its data collection, storage and usage standards. Data Governance 2.0 for Financial Services.

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Conversational AI use cases for enterprises

IBM Big Data Hub

Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends. ML and DL lie at the core of predictive analytics, enabling models to learn from data, identify patterns and make predictions about future events.

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China’s PIPL has finally arrived, and brings helpful clarification (rather than substantial change) to China’s data privacy framework

DLA Piper Privacy Matters

Instead the PIPL is a robust data privacy framework designed to safeguard individuals’ personal data against abuse, but at the same time to reflect cultural and business attitudes to data in China, as well as new technologies (including advances in AI, biometrics and data analytics), and to enable flows of personal data.

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The most valuable AI use cases for business

IBM Big Data Hub

Clean up with predictive maintenance AI can be used for predictive maintenance by analyzing data directly from machinery to identify problems and flag required maintenance. Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies. See what’s ahead AI can assist with forecasting.

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Best Practices for Building a Data-Driven Business Model

Information Matters

Many of the devices which make up the Internet of Things (IoT) and the apps we use on our phones are throwing off data at increasing speed and volume. The data collected from these technologies is not only leading to a better understanding of ways to improve operating efficiencies but also to create new services and revenue streams.