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How data, AI and automation can transform the enterprise

IBM Big Data Hub

Today’s data leaders are expected to make organizations run more efficiently, improve business value, and foster innovation. Driven by business requirements, it establishes how data flows through the ecosystem from collection to processing to consumption. In other words, they must ensure that data strategy aligns to business strategy.

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Cloudera DataFlow’s key milestones and wins in 2020

Cloudera

Digital Transformation efforts across various companies were accelerated since the need of the hour is to get immediate actionable intelligence and make business decisions faster. Extending the Kafka ecosystem to CDP – Cloudera (and Hortonworks) has always prided itself on its investment and innovations around Apache Kafka.

Metrics 59
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Transforming the Future of Learning with Analytics

Sisense

Organizations are now turning to digital innovations such as AI-infused analytics platforms to enhance and grow the knowledge of their teams and talent. An AI-infused analytics platform like Sisense helps businesses understand the value that learning/training is providing in the workplace.

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Five Strategies to Accelerate Data Product Development

Cloudera

Once we have identified those capabilities, the second article explores how the Cloudera Data Platform delivers those prerequisite capabilities and has enabled organizations such as IQVIA to innovate in Healthcare with the Human Data Science Cloud. . hybrid or public, multi-cloud) and advanced analytical frameworks (e.g.,

Strategy 115
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Tackling AI’s data challenges with IBM databases on AWS

IBM Big Data Hub

Also, traditional database management tasks, including backups, upgrades and routine maintenance drain valuable time and resources, hindering innovation. By using fit-for-purpose databases, customers can efficiently run workloads, using the appropriate engine at the optimal cost to optimize analytics for the best price-performance.

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Accelerating model velocity through Snowflake Java UDF integration

Domino Data Lab

Similarly, Snowflake’s Data Cloud has been gaining momentum and is now one of the key players in cloud-based data storage and analytics (the data warehouse-as-a-service space). In this blog post we’ll focus on the UDF capabilities provided by the two platforms. Why Snowflake UDFs.

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Periscope Data Expands to Israel, Empowering Data Teams with Powerful Tools

Sisense

In our Event Spotlight series, we cover the biggest industry events helping builders learn about the latest tech, trends, and people innovating in the space. That’s why it has become increasingly vital for companies to leverage fresh data and deploy accurate analytics, so they can make smarter decisions that will enable them to prosper.