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 Guy Arieli

Guy Arieli is the CTO of Continuous Testing at Digital.ai, an AI-powered DevOps platform that unifies, secures, and generates predictive insights across the software lifecycle. Guy is based in Netanya, Israel.

AI and Software Testing: Avoid Burnout, Save Developer Time

AI and Software Testing: Avoid Burnout, Save Developer Time

Enterprises that use AI in software testing and development can reduce developer burnout and increase developer morale and retention.

May 30, 2023 | Artificial intelligence technologies | 0 Comments

Sign up for our weekly newsletter

Hot Topic NEW

Data in Motion

What to expect in 2025: AI Drives IT Consolidation
Revolutionizing Talent Supply Chains: Innovating Assembly Lines for Cloud Engineering Platforms While Avoiding AI Overreliance
6 Strategies for Maximizing Cloud Storage ROI
CDW Cloud Computing Report Notes Cloud Success, Challenges
The Role of Site Reliability Engineering in Preventing Outages

Connect with us

Spotlight

Driving Innovation: Accelerating EV Development with Virtual Engineering
December 23, 2024 | 0 Comments
Bridging the Connectivity Gap: Overcoming Legacy Infrastructure and Assets in Industrial Digital Transformation
December 4, 2024 | 0 Comments
5 Trends Reshaping the Data Landscape
November 24, 2024 | 0 Comments
How Automakers Can Accelerate Their Transition to EVs
November 20, 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

Real-Time Decision-Making for Capital Markets
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

HITRUST Launches AI Security Certification to Address Emerging Risks
December 26, 2024 | 0 Comments
Your New Goal: Human and AI Synergy in Customer Interactions
December 24, 2024 | 0 Comments
Driving Innovation: Accelerating EV Development with Virtual Engineering
December 23, 2024 | 0 Comments
How DEX Transforms the Digital Workplace for Better Productivity
December 23, 2024 | 0 Comments
AI Goes Mainstream at 2024 New York AI Summit
December 23, 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!