Our Team
Engage with Us
Write for us
About Us
Brain Trust

Select

IoT
Real-Time Analytics
Artificial Intelligence
Big Data
Industries
Use cases
Technologies
Resources
Reports

About Patrick Joggerst

Patrick Joggerst is executive vice president of Global Sales and Marketing at GENBAND , a global leader in real-time communications, network transformation and unified communications.

How Cognitive Computing is Changing Customer Service

How Cognitive Computing is Changing Customer Service

Customers today want to choose the channels they interact with, and cloud and cognitive technologies make channel switching easier for

November 22, 2017 | Artificial intelligence technologies, Trending Now | 0 Comments

Sign up for our weekly newsletter

Hot Topic NEW

Data in Motion

Mastering Cloud Migration Costs: A Deep Dive
What 2024’s Data Management Report Means for Business
How AI is Driving The Shift to a Private Cloud
Four Surprising Facts About Data Storage
Cloud Computing for Scientific Research: Ensuring Comprehensive Backup and Data Visibility

Connect with us

Spotlight

How Automakers Can Accelerate Their Transition to EVs
November 20, 2024 | 0 Comments
What are AI Agents and How Are They Used in Different Industries?
November 18, 2024 | 0 Comments
Accelerating Digital Transformation in Manufacturing with Enterprise Industrial Connectivity
October 28, 2024 | 0 Comments
How and Where to Start with AI for Industry
October 22, 2024 | 0 Comments

Content Hubs

The Value of Vehicle Electrification
Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT
Smart Manufacturing for Automotive
Center for Data Pipeline Automation
Improving Service and Profits With Connected Products
Center for Automated Integration
Center for Edge Computing and 5G
Center for Observability and AIOps
Continuous Intelligence: Insights
Event-Driven Architecture for the Cloud

DSP Resource Pages

Delivering Operational Impact with Industrial AI Agents
Build Streaming Data Applications in Minutes, Not Months
Enabling Real-Time Action with Stream Processing
Activate your Mainframe Data for Cloud Analytics
Multi-dimensional data observability
Simplifying database access from Kubernetes
Real-time Location Intelligence
Today’s Low Code Integration Platform
Real time data pipelines with Apache Pulsar

eBook, Primer, Videos and Podcasts

Dell Technologies at the Edge
Observability with AIOps for Dummies – Moogsoft Special Edition
Edge Computing vs. Cloud Computing: A Primer
How Microservices Developers in Financial Services Use Streaming
The Low-code digital transformation guide
IoT Continues to Transform the Retail Experience in 2021
Digital Twin: Closing the Loop from Operations to Design

Recent Articles

Survey Surprise: Quantum Now in Action at Almost One-Third of Sites
November 21, 2024 | 0 Comments
Digital Technologies Key to Meeting EV Market Expectations
November 20, 2024 | 0 Comments
How Augmented Reality is Shaping EV Development and Design
November 20, 2024 | 0 Comments
How Automakers Can Accelerate Their Transition to EVs
November 20, 2024 | 0 Comments
2025 Manufacturing Trends That Will Shape Electric Vehicle Success
November 20, 2024 | 0 Comments

What’s Trending

5G AI analytics Artifical intelligence artificial intelligence automation autonomous vehicles big data blockchain CIhub cloud cloud-native cloud database Continuous intelligence COVID-19 customer experience cybersecurity cyber security data data management DevOps digital transformation digital twin digital twins edge computing generative AI healthcare ibm IIoT industrial IoT Industry 4.0 Internet of Things iot IoT security Kubernetes machine learning Observability predictive analytics predictive maintenance real-time analytics real-time data robotic process automation smart cities streaming analytics supply chain

Featured Resources

7 Data Lake Best Practices for Effective Data Management

Follow these best practices for data lake management to ensure your organization can make the most of your investment.

What’s Changing Faster? Data Pipeline Tech or the Role of the Data Scientist?

The need for automated data pipelines is clear. What role will data scientists play in bringing them about?

Taming MLOps: Accommodating the Needs of Different Developers

Developing an enterprise-ready application that is based on machine learning requires multiple types of developers.

Reducing Cloud Spend During Economic Uncertainty

Cloud optimization could offer the best method for reducing costs according to a new report.

© 2024 RTInsights. All rights reserved. Terms of Use

Submission Guidelines | Do Not Sell My Info | Privacy Policy | Contact Us | Site Map

Register Now!