Hi, I’m Lucy, your AI-powered assistant for enterprise knowledge management. (Nice to meet you!) I help instantly transform terabytes of valuable data into findable answers.
I’ll search your owned and licensed data sources and quickly return the most relevant answers. I’ll show the exact page, chart, paragraph, video clip, or audio byte that answers your question. All your brand’s insights are accessed in one place—a single gateway to your enterprise knowledge.
I don’t need your data moved into my system. Through my automated integrations, I learn and remember all of the data stored across your internal files and systems. I can even connect to many popular third party subscriptions. When I answer your question, you will know just where I found it.
I automatically generate multilevel, filterable metadata, so there’s no need for humans to spend time manually tagging files. I can also locate documents based on chosen criteria, like document source, author, or publish date. I deliver focused answers from relevant content in record time, giving you a truly different way to search.
Through machine learning, I continuously learn and improve as you give me feedback. If for some reason I’m not giving you the best answer available within your data, you can use Lucy Assist and my dedicated support team will be put on the job to help us out.
That was just a quick overview of what I can do for you, but there’s so much more to cover. If you want to learn more about me, complete the form below to get in touch with my creators. We look forward to hearing from you!
The key to making data discoverable is metadata. But how does one go about tagging terabytes of company information? To do so, your company will inevitably face ongoing process challenges, particularly monumental labor requirements. Even then, the tags are often inadequate; when tagging is performed at the document level, most architectures lead users to a long list of relevant documents based on keywords. This leaves users to sift through lengthy documents in search of the specifics they need. Only time or luck will help them uncover that chart hidden on page 32 of one document or the relevant paragraph on page 112 of another.
How do you expedite the tagging process, while also making data truly discoverable and usable? Through scrupulous automated tagging, on every page or element of a document. This enables users to quickly find needles embedded within massive haystacks of data. Join Scott Litman, Managing Partner of Lucy, and Rahul Singhal, Chief Product & Marketing Officer at Innodata, as they describe the latest advances in automated tagging across themes, keywords, locations, brands, and more. Learn how these new technologies take on all the heavy lifting–more than an army of people could accomplish – by automatically tagging every page, at multiple levels, across terabytes of data assets.
Access the webinar learn how to:
– Turn content into a valuable commodity
– Create greater data discovery accuracy across all departments
– Bring together the benefits of out-of-the-box and custom metadata solutions
– Enhance your organization with new efficiencies and increased productivity