How to Add Value to Your Gen AI Enterprise Solutions?
If you've been following Squirro, you already know how Retrieval Augmented Generation (RAG) enhances the accuracy and reliability of Large Language Models (LLMs) like ChatGPT by enriching the information retrieval process with contextual information. Adding supplementary context and knowledge is key. (If not, find out why you need Retrieval Augmented Generation in 2024 here)
Knowledge graphs take this a step further, adding yet another layer of contextual awareness to the Retrieval Augmented software stack. By providing a structured, transparent, and hierarchical way to store information, they enable search engines to understand the context and intent behind queries, generating more relevant and accurate search results.
Let's dive into a concrete example from our head of academy and education at Squirro, Simone Abbiati , using our beautiful Zurich city as a case study:
Five ways knowledge graphs add value to Gen AI enterprise solutions
Firstly, they result in fewer hallucinations and deeper insights:
It's no secret that the large language models behind Gen AI solutions can sometimes confidently spout plausible but false information. According to McKinsey, 25% of organizations have already faced negative consequences due to generative AI's inaccuracies. Reducing their occurrence needs to be a constant priority.
Knowledge graphs and the taxonomies they build on capture relationships between words found in unstructured data, reducing false associations and generating more accurate, relevant, and reliable outputs.
Our in-house experts have written a guide on how you can overcome the most common challenges faced when deploying Gen AI enterprise solutions, such as : improving accuracy, truly connecting all your datasets, and accelerating ROI of deployment. Read it below.
领英推荐
Webinar Replay : “Strengthening Business Intelligence with Generative AI and Knowledge Graphs”
To dive deeper, we are pleased to invite you to watch the replay of our webinar.
Our panel of experts at Squirro and Synaptica shared insights and case studies demonstrating the transformative impact of Knowledge Graphs and Retrieval Augmented Generation across various industries. Discover how you can automate business processes, improve content classification, and unlock latent knowledge for actionable business insights.
Make sure your Gen AI solutions are not just smart but contextually intelligent and highly reliable with the power of knowledge graphs.
Next Week's Topic:
Next week's topic: Business essentials guide - Generative AI in service management to revolutionize your service efficiency.
Recognized by Gartner as a visionary company, Squirro stands at the forefront as an enterprise-ready generative AI solution for search, insights, and automation. Our clientele includes prestigious organizations such as:? the European Central Bank, the Bank of England, Henkel, Mubadala, and over 30 industry leaders.
Thank you for being part of our journey. Stay tuned for more updates as we continue to bridge the AI reality gap!
Marketing Enthusiast | Fueling Growth through Innovative Strategies and Data-Driven Insights
7 个月Adding value to our Gen AI enterprise solutions involves several strategic approaches that are crucial for maximizing effectiveness and impact. Customization and personalization are key tailoring solutions to meet specific business needs ensures they deliver accurate and relevant outcomes. Seamless integration with existing systems enhances efficiency, while scalability and performance optimization accommodate growth and data demands. Data quality and accessibility are paramount, ensuring reliable AI outputs. Addressing ethical considerations and compliance builds trust. Continuous improvement and innovation, along with user training and support, empower our team to leverage AI effectively. Finally, measuring ROI and business impact quantifies our success and drives future advancements. Together, these strategies ensure our Gen AI solutions drive innovation, efficiency, and competitive advantage across our enterprise.
Transitioning to the next challenge and looking forward to it
7 个月Squirro - well done really - even me as a non-techie can now grasp the essential idea around combination of RAG and Knowledge Graphs - thanks ??