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Link to Best Practices for Deploying and Scaling Industrial AI

Best Practices for Deploying and Scaling Industrial AI

Artificial Intelligence (AI) is transforming industrial operations, helping organizations optimize workflows, reduce downtime, and enhance productivity. Different industry verticals leverage AI in unique ways.

Link to The Center for Adaptive Edge Intelligence

The Center for Adaptive Edge Intelligence

Adaptive edge intelligence brings real-time decision-making to the point of data creation, whether from sensors, machines, or cameras.

Link to The Value of Vehicle Electrification

The Value of Vehicle Electrification

Electric vehicles (EVs) present automakers with many design, engineering, and manufactu ring challenges.

Link to Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT

Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT

Digital transformation is empowering industrial organizations to deliver sustainable innovation, disruption-proof products and services, and continuous operational improvement.

Link to Smart Manufacturing for Automotive

Smart Manufacturing for Automotive

Leading a transportation revolution in autonomous, electric, shared mobility and connectivity with the next generation of design and development tools.

Link to Center for Data Pipeline Automation

Center for Data Pipeline Automation

As businesses become data-driven and rely more heavily on analytics to operate, getting high-quality, trusted data to the right data user at the right time is essential.

Link to Center for Automated Integration

Center for Automated Integration

The goal of automated integration is to enable applications and systems that were built separately to easily share data and work together, resulting in new capabilities and efficiencies that cut costs, uncover insights, and much more.

Link to Continuous Intelligence: Insights

Continuous Intelligence: Insights

Digital transformation requires continuous intelligence (CI). Today's digital businesses are leveraging this new category of software which includes real-time analytics and insights from a single, cloud-native platform across multiple use cases to speed decision-making, and drive world-class customer experiences.
Blockchain Blockchain
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White Paper: How to ‘Future-Proof’ a Streaming Analytics Platform

White Paper: How to ‘Future-Proof’ a Streaming Analytics Platform

streaming analytics

How streaming analytics can take advantage of innovation yet stand the test of time.

Written By

RTInsights Team

Jan 11, 2016

3 minute read

An increasing need for businesses to analyze data as it is produced — from IoT devices, e-commerce, and other sectors — has led to increased use of streaming analytics platforms. There’s a variety of solutions for streaming analytics on the market, with one chief distinction being open-source versus commercial platforms. Download report!

Due to the nature of tech innovation, a chief challenge is choosing a platform that will stand the test of time. Here’s what you will learn in this white paper:

• Use cases and benefits of streaming analytics in various industries
• The benefits and drawbacks of open-source solutions such as Apache Storm and Spark
• How an enterprise approach using Impetus Technologies’ StreamAnalytix can reap open-source benefits, eliminate drawbacks, and “future-proof” a platform.

Fill in a few details below to get your free report:

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Want more? Check out our most-read content:

White Paper: How to ‘Future-Proof’ a Streaming Analytics Platform
Research from Gartner: Real-Time Analytics with the Internet of Things
E-Book: How to Move to a Fast Data Architecture
The Value of Bringing Analytics to the Edge
Factory Testbed Focuses on Visualization
What’s Behind the Attraction to Apache Spark
Video: Loop AI Labs on How Cognitive Computing Understands Language

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