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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.
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Special Reports

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E-commerce Recommendations With Context: Solution Brief

E-commerce Recommendations With Context: Solution Brief

How do you combine a customer’s historical data and current browser activity for use in a real-time recommendation engine?

Written By

RTInsights Team

Apr 4, 2016

1 minute read

Recommendation engines and algorithms are a huge business at companies such as Amazon, Wal-Mart, and Netflix. But how do you take into account a current shopper’s browser activity when making e-commerce recommendations?

Most recommendation systems rely on static data, such as purchase history and customer segmentation. However, in-memory computing platforms now allow “context-aware” recommendations that can link that static data to real-time browsing actions.

In this solution brief, you will learn:

Benefits of context-aware recommendations.
Challenges of personalized e-commerce systems.
How in-memory computing can deliver on the promise of real-time recommendations.

Please fill in the fields to access the report.

Want more? Check out our most-read content:

Fog Computing: A Reference Architecture
The Value of Bringing Analytics to the Edge
Intelligent Business Operations: White Paper
Operational Intelligence Resource Hub
How to Apply Machine Learning to Event Processing
IoT Architectures for Edge Analytics
Data Streaming at the Edge: IBM and Apache Quarks

Liked this article? Share it with your colleagues!

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Leveraging Connectivity and Predictive Analytics to Proactively Service Products in the Field (Special Report)

Leveraging Connectivity and Predictive Analytics to Proactively Service Products in the Field (Special Report)

Companies that develop or support products in the field need to transition from reactive to predictive maintenance and service. Such a transition is possible using ubiquitous connectivity and predictive analytics on machine data. Here’s how.

RTInsights Team

May 17, 2021

The Four Key Benefits of Edge Computing (eBook)

The Four Key Benefits of Edge Computing (eBook)

Although edge architectures differ fundamentally from conventional cloud and on-premises environments, edge isn’t an alternative to traditional infrastructure strategies as much as it is an augmentation of them.

RTInsights Team

Apr 27, 2021

The Power of Personalization: Driving Digital Banking Success (White Paper)

The Power of Personalization: Driving Digital Banking Success (White Paper)

The relationships banks have with their customers can last for decades, but too many banks fail to use the data they have to provide personalized digital banking services.

RTInsights Team

Mar 10, 2021

Modernizing Your Decision Automation Strategy

Decision Automation

Modernizing Your Decision Automation Strategy

Every transaction, order, customer interaction, and internal operation depends on decisions. At a time when businesses are under pressure to improve efficiencies, cut costs, and be more responsive, automating decisions becomes essential. While many businesses have picked off the low-hanging fruit when automating, most need to add more. Specifically, businesses want to automate complex decisions, involving multiple steps, multiple data sources and many rules.

RTInsights Team

Mar 2, 2021

Featured Resources from Cloud Data Insights

Why AI Data Sovereignty is Becoming a Major Political Issue

Data management

Why AI Data Sovereignty is Becoming a Major Political Issue

The politics around data sovereignty are still evolving, but some trends are clear. As AI continues to transform industries and economies, how data moves will matter as much as where it is stored.

May 12, 2026

Why Network Architecture is the Real Constraint on Real-Time AI

Artificial intelligence technologies

Why Network Architecture is the Real Constraint on Real-Time AI

The reality is that your AI strategy is only as good as the network it runs on. The industry has spent billions of dollars making the basis of these systems smarter, faster, and more capable. But without a corresponding investment in the interconnected fabric that moves tokens from the GPU to the user, your AI strategy will be left waiting for a connection that never arrives.

May 11, 2026

Lyrie.ai Deploys Real-Time Zero-Day Tracking Across Global Enterprise Infrastructure

Lyrie.ai Deploys Real-Time Zero-Day Tracking Across Global Enterprise Infrastructure

OTT Cybersecurity LLC announced several milestones that position the company as foundational security infrastructure for the agentic AI era.

May 11, 2026

Real-time Analytics News for the Week Ending May 9

Real-time Analytics News for the Week Ending May 9

In this week’s real-time analytics news: At this week’s Think conference, IBM announced Sovereign Core and an expansion of enterprise AI and hybrid cloud management capabilities.

Salvatore Salamone

May 10, 2026

Analysis and market insights on real-time analytics including Big Data, the IoT, and cognitive computing. Business use cases and technologies are discussed.

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