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Three Emerging Analytics Products Derived from Value-driven Data Innovation and Insights Discovery in the Enterprise

Rocket-Powered Data Science

Accompanying the massive growth in sensor data (from ubiquitous IoT devices, including location-based and time-based streaming data), there have emerged some special analytics products that are growing in significance, especially in the context of innovation and insights discovery from on-prem enterprise data sources.

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The Power of Graph Databases, Linked Data, and Graph Algorithms

Rocket-Powered Data Science

Entities are the nodes in the graph — these can be people, events, objects, concepts, or places. Each of those cases deeply involves entities (people, objects, events, actions, concepts, and places) and their relationships (touch points, both causal and simple associations).

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

Amazon Kinesis ingests streaming events in real time from point-of-sales systems, clickstream data from mobile apps and websites, and social media data. You could also consider using Amazon Managed Streaming for Apache Kafka (Amazon MSK) for streaming events in real time. You need to process this to make it ready for analysis.

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Biggest Trends in Data Visualization Taking Shape in 2022

Smart Data Collective

Some solutions provide read and write access to any type of source and information, advanced integration, security capabilities and metadata management that help achieve virtual and high-performance Data Services in real-time, cache or batch mode. In forecasting future events. Prescriptive analytics.

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What Is Data Intelligence?

Alation

It includes intelligence about data, or metadata. The earliest DI use cases leveraged metadata — EG, popularity rankings reflecting the most used data — to surface assets most useful to others. Again, metadata is key. Data Intelligence and Metadata. Data intelligence is fueled by metadata.

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Four starting points to transform your organization into a data-driven enterprise

IBM Big Data Hub

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. The automated metadata generation is essential to turn a manual process into one that is better controlled. Data governance. Start a trial. AI governance. Artificial intelligence (AI) is no longer a choice.

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Themes and Conferences per Pacoid, Episode 10

Domino Data Lab

Working through distinctions of descriptive analytics , predictive analytics , and prescriptive analytics , Chris recounted several stories about how managers had requested one kind of deliverable from the data science while needing something entirely different. Upcoming events. See you at Rev 3 in 2020!