Over the past decade, our automation platform has undergone continuous innovation and evolution. We have incorporated cutting-edge technologies, such as artificial intelligence and machine learning, to enhance efficiency and drive digital transformation.
Throughout this journey, the platform has empowered businesses across diverse industries, making automation a cornerstone of streamlined processes and intelligent decision-making.
Now we are poised to push the boundaries even further.
We have rigorously evaluated various prevalent types of rules engine technologies by subjecting them to comprehensive testing and scoring based on seven crucial capabilities: Modeling complex logic, Modeling time, Modeling uncertainty, Explainability, Adaptability, Operability, and Scalability. Our Rules Engine benchmarks white paper provides a detailed testing benchmark, aiding in the assessment of these core rules engine capabilities. Rules Engine benchmarks white paper.
Generative AI, a pinnacle in technological advancement, empowers machines to autonomously create content across various domains. In Natural Language Processing, models like GPT produce coherent and contextually relevant text, revolutionizing content creation and virtual communication. Beyond creativity, generative AI contributes to simulations and data augmentation, enhancing the robustness of AI systems.
It is essential to acknowledge that existing models exhibit a degree of hallucination, and their outputs should not be solely relied upon for critical use cases. To address this, we emphasize the importance of combining these models with carefully curated Waylay training sets. These sets delineate causal relations between data and the remedies proposed by our intelligent bots, ensuring a more robust and reliable solution.
Waylay introduces a groundbreaking approach to deploying Intelligent Bots (iBots), setting them apart by their independence from a singular foundational model and the absence of reliance on specific customer data. These iBots underwent training using test results from automation graphs, guided by a 'highest probability' rationale for outcome detection.
This innovative methodology forms the foundation of our training set, drawing efficacy from its exceptional explainability and logical model abstractions inherent in the Waylay Rules Engine.
In the ever-evolving landscape of technology, the integration of artificial intelligence (AI) and machine learning (ML) has significantly transformed various industries. Now, a new frontier emerges as Generative Artificial Intelligence (GAI) steps into the spotlight, accompanied by Natural Language Processing (NLP) bots.
This dynamic duo is poised to redefine automation across diverse sectors.
Within Waylay, developers can craft concise code snippets or leverage existing ones, linking them through logical operators to define intricate automation rules. By interconnecting these rules or embedding one within another, Waylay can facilitate the creation of highly complex automation scenarios.
Now, imagine interacting seamlessly with the automation engine using natural voice or text commands.
Waylay’s rules engine is built on top of causal DAG, where a BN network is abstracted at the level to which humans tend to think about automation problems. This feature enables automation logic to be explainable to humans in a simple and intuitive way. This concept enables the execution of automation scenarios using human language, with built-in auditability for human comprehension during operation.
An interface capable of bidirectional communication is the essence of what we refer to as a Natural Automation Interface (NAI), an interface capable of bidirectional communication. It can be programmed to execute specific automation scenarios using human language and, crucially, allows for the program's audibility by humans once it's in operation.
Get ready for an exciting journey into the future as we unveil a sneak peek into the innovative ventures and groundbreaking initiatives planned for the coming year. We're thrilled to share with you the new and cool developments that will redefine the way we operate and engage. From cutting-edge technologies to transformative strategies, join us on this forward-looking adventure as we shape a year filled with excitement, innovation, and remarkable achievements. Buckle up for a thrilling ride into the future of what's next! 👇
Digital Twin acts on the unseen rules through innate causal inference modeling. In a demonstration featuring a connected electric bus, the system identifies issues like battery degradation through diagnostic trouble codes and CAN values, prompting proactive alarms. A rule explainer bot is integrated within Salesforce application, providing service agents with detailed explanations for proactive alarms generated by the system.