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.

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.

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.

There's no denying that OpenAI's remarkable artificial intelligence applications (ChatGPT and DALL-E) have captured the zeitgeist and hurled the topic of Generative AI into every company boardroom. Conversations range from apocalyptic hand-wringing to blissful ignorance. I wonder if ChatGPT will single-handedly save the chatbot industry, or is this just another tech fad that will quickly wither and die?

Machine Learning (ML) is at the heart of the boom in AI Applications, revolutionizing various domains. From powering intelligent Large Language Model (LLM) based chatbots like ChatGPT and Bard, to enabling text-to-AI image generators like Stable Diffusion, ML continues to drive innovation. Its transformative impact advances multiple fields from genetics to medicine to finance. Without exaggeration, ML has the potential to profoundly change lives, if it hasn’t already.

Generative AI (GenAI) has the potential to transform enterprise product operations, and as a Chief Product Officer (CPO), it’s essential to understand how to leverage generative AI to drive success within your product organization. This article serves as a comprehensive guide for how CPOs can use GenAI in product strategy, design, and innovation – generating new product ideas, creating unique designs, and exploring different variations and options.