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Enterprise AI/ML Needs Data Management. And Vice Versa.

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Becoming Customer-Centric Through the Power of MDM and Customer Intelligence

Master Data Management (MDM) is making a big impact in delivering real business value and allowing companies to unleash the power of their data across the enterprise. Because MDM solutions help business users to trust data across all systems in use, they can be applied to many data domains including customer intelligence (individual or organization),... more

AI-Powered Privacy and Management for Petabyte-Packed Cloud Data Lakes

We now have data lakes with petabytes of data, being updated in real time with IoT, social, and mobile information. Then there are tens of thousands of users accessing the data across various lines of your business: finance, sales, marketing, service, procurement, research & development, manufacturing, logistics, and distribution. At this scale the only way... more

Enterprise AI/ML Needs Data Management. And Vice Versa.

Artificial intelligence (AI) and machine learning (ML) are powering the digital transformations happening in every industry around the world. AI/ML is critical in discovering new therapies in life sciences, reducing fraud and risk in financial services, and delivering truly personalized customer experiences.  Enterprise AI/ML Needs Data Management The success of AI is dependent on the... more

Top 10 Things to Consider with Salesforce Data Integration

Data is the new business currency, and CRM data is arguably the most important dataset that companies are leveraging. At the head of the CRM pack is Salesforce. Its staggering 20% market share equals the next four vendors combined. Ultimately, CRM data can provide insights that can impact sales, customer satisfaction, and overall revenue. No... more

Operationalize Data Privacy

Today’s organizations need to mobilize data governance programs and resources to tackle enterprise-wide data privacy initiatives. These ambitious initiatives—which can span thousands of data stores, people, and processes—cannot be achieved with traditional security and production models. Instead, enterprise-grade automation, powered with artificial intelligence (AI) and machine learning (ML), is required to provide the foundational infrastructure... more