Ever since the release of ChatGPT, which showed the potential of generative artificial intelligence (AI), enterprises have raced to operationalize generative AI within their organizations. In fact, AI represents the primary challenge for nearly every organization today. You will either be good at AI or bad at business. Appian was quick on the AI draw.
Learn the optimizations for a dbt deployment that are essential for a dependable data stack.
Atlas AI‘s geospatial artificial intelligence platform that helps organizations anticipate changing societal conditions to help them make investment decisions.
Secret management in shared environments like Continuous Integration and Delivery services is challenging. It’s essential to keep secrets secure and ensure they don’t end up in the wrong place, like logs or code repositories. Integrating solutions like 1Password into CI/CD workflows offer the advantage of centralising secret management, and it also allows you to encrypt every secret, providing controlled programmatic access to applications.
AI is a top action item on the priority list of every leading organization. And as the AI frenzy unfolds, some of the promises about what AI could deliver have become less clear, complicated by matters of security, data, and ultimately, business value. Appian 23.3 builds on Appian’s existing AI capabilities and makes it easier than ever to operationalize AI within your enterprise.
In Flutter’s early days in 2019, I developed a live object detection system for a major German company, despite the platform’s constraints. With release of Flutter 3.7 and advancements of TensorFlow have catalyzed the need to refine or overhaul this approach. This article discusses the newest techniques in live-stream object detection as showcased in the flutter-tflite GitHub repository.
