Bill amendments are complicated, and figuring out what changed and whether it matters is a manual, time-intensive process. But no more. Now it's easier than ever to see what changed. Introducing at-a-glance change summaries for LegislatureAI Insights customers. Schedule a demo today to see it in action at: https://legislature.ai
LegislatureAI的动态
最相关的动态
-
Imagine an AI agent helping you make smarter, money-saving choices across your subscriptions. With Atomic’s subscription management solution, consumers receive real-time, personalized recommendations to save money and optimize their services. Here’s how our AI identifies underused add-ons, suggests better options, and guides the switch—all while keeping the consumer fully in control. Our goal? Simplifying complex financial decisions so consumers can seamlessly manage their subscriptions, from canceling unused services to finding better providers. Discover how Atomic empowers financial institutions to be proactive partners in enhancing consumer financial health: https://lnkd.in/gQ5yj6Uu
-
Director, Technology Workflows & Now Platform engineering / Site Leader | Winning Combo of Strategic Mindset & OPEX Champion
Engage the first line through a familiar user experience and enhances risk-based decision-making with GenAI. https://spr.ly/60449pL8a
-
-
Retrieval-Augmented Generation (RAG) is a must have for any generative AI application. The first step in the process is creating and maintaining a Vector Database. This seems like a difficult task but its made very easy with Flink SQL and the Confluent Cloud. See how it can be done in just a few minutes with this GitHub Example here: https://lnkd.in/gv4BHtwN You will learn how to be able to populate and maintain a vector database by using the built in ML_Model function to vector encode your data through #confluent's fully managed Flink SQL SaaS offering. Read the link below for an excellent summary on what RAG is and why you need it. #ConfluentCloud #VectorDatabase #RAG #SemanticSearch #RetreivalAugmentedGeneration
What's RAG got to do with it? Whether you're using GenAI to build a chatbot, make personalized recommendations, or even optimize a supply chain, you'll need to ensure it's using reliable, up-to-date, and contextualized data. That's where Retrieval-Augmented Generation comes in. Take a deep dive into RAG and how it enhances the accuracy and relevancy of LLM responses to minimize hallucinations. ?? https://cnfl.io/3VO5voI
-
-
The proof is in the numbers. With Now Assist GenAI experiences fueling major productivity gains for our technical support agents, we’re realizing… ?? 15% improvement in time spent per case ?? 10% boost in case deflection rates ?? $5.3 million in annualized savings Read on for more on how we’re putting AI to work for our agents: https://spr.ly/6048UU7Lw
-
-
Talent Acquisition @ServiceNow | Ex- VMware | Ex-Barclays| Talent acquisition/ Technical Recruiter/ HR. Recruitment having diversified HR domain knowledge
The proof is in the numbers. With Now Assist GenAI experiences fueling major productivity gains for our technical support agents, we’re realizing… ?? 15% improvement in time spent per case ?? 10% boost in case deflection rates ?? $5.3 million in annualized savings Read on for more on how we’re putting AI to work for our agents: https://spr.ly/6046U5yKo
-
-
The proof is in the numbers. With Now Assist GenAI experiences fueling major productivity gains for our technical support agents, we’re realizing… ?? 15% improvement in time spent per case ?? 10% boost in case deflection rates ?? $5.3 million in annualized savings Read on for more on how we’re putting AI to work for our agents: https://spr.ly/6040Uldqy
-
-
The proof is in the numbers. With Now Assist GenAI experiences fueling major productivity gains for our technical support agents, we’re realizing… ?? 15% improvement in time spent per case ?? 10% boost in case deflection rates ?? $5.3 million in annualized savings Read on for more on how we’re putting AI to work for our agents: https://spr.ly/6041Uoa21
-
-
The proof is in the numbers. With Now Assist GenAI experiences fueling major productivity gains for our technical support agents, we’re realizing… ?? 15% improvement in time spent per case ?? 10% boost in case deflection rates ?? $5.3 million in annualized savings Read on for more on how we’re putting AI to work for our agents: https://spr.ly/6045Urr69
-
-
Senior Regional Enterprise Account Executive CEE @ ServiceNow | ITAM Forum Lead | ITIL Master
The proof is in the numbers. With Now Assist GenAI experiences fueling major productivity gains for our technical support agents, we’re realizing… ?? 15% improvement in time spent per case ?? 10% boost in case deflection rates ?? $5.3 million in annualized savings Read on for more on how we’re putting AI to work for our agents: https://spr.ly/6040q2yfI
-
-
The proof is in the numbers. With Now Assist GenAI experiences fueling major productivity gains for our technical support agents, we’re realizing… ?? 15% improvement in time spent per case ?? 10% boost in case deflection rates ?? $5.3 million in annualized savings Read on for more on how we’re putting AI to work for our agents: https://spr.ly/6048UjUYn
-
