Transforming Public Transit with AI and Machine Learning
The key to using AI technologies in public transit is onboard internet connectivity, which facilitates real-time data transfer and enables seamless …
Topic: Industry Insights
How various industries use real-time analytics to improve the business bottom line. We explore both physical, IoT uses (such as sensor data in manufacturing, transportation, and energy) as well as use of transactional and Web data, such as in the financial services, marketing, and customer-experience management industries.
How AI is Transforming the Fight Against Fraud
Discover how AI-powered tools are helping financial institutions detect fraud in real time and stay ahead of emerging threats like synthetic
The Evolving Role of IoT Analytics in Industrial Operations
As IoT technology increases, the potential for IoT analytics in industrial operations will only grow, offering even more opportunities for innovation and …
Moving Beyond Data Collection to Data Orchestration
IoT connectivity and analytics are moving beyond data collection to data orchestration. Learn how real-time insights, edge analytics, and integrated data …
The Rise of Robotics: How AI is Reshaping Robotics in Manufacturing
As robots and their AI-enabled use cases become more frequent on factory floors, manufacturers should deploy these capabilities in a way that strengthens – …
What the Next Generation of AI Solutions for Banking Will Look Like
Smart finance companies will begin their AI transformation efforts by assessing their capabilities and then deciding which AI innovations they are capable of …
Countering Real-Time Frauds and Scams with Modern Streaming Engine Technology
In an era where fraudsters are increasingly adept at exploiting vulnerabilities in real time, traditional fraud detection methods are no longer sufficient. …
We’re Not Ready for AI-Driven Factories, Just Yet
Before plant managers implement an AI-driven approach, they must take a number of steps starting with meeting the infrastructure needs of
What Will It Take to Achieve EV Zero Waste?
The path to zero waste in EV manufacturing is filled with challenges. By embracing new technologies and practices, the EV industry can move closer to a future …
Enhancing Digital Twins with Digital Engineering Capabilities
By integrating digital engineering methodologies with digital twins, EV manufacturers can streamline operations, enhance collaboration, and maintain a …