Recently, @Glenn Mansfield (Director) was a guest on The Digital Transformation Podcast. He was interviewed by the talented @Kevin Craine. They had a great conversation about Intelligent Search. The discussion covered how organisations often struggle to find their information and use it effectively. Why?…
When you’re submerged by a huge volume of digital files, it can be frustrating and time-consuming if you can’t put your hands on the information you need.
Flare's automated document tagging allows you to assign labels to important documents so that they are easier to organise and retrieve whenever you need them. Read more...
Metadata tags are used in digital asset management to make it quicker and easier for employees, business partners, or customers to find meaningful content.
This week I interviewed ChatGPT. I asked searching questions like “what are you?”, “are you useful as an enterprise search tool?”, and about the role of taxonomies in enterprise search. The responses are interesting in their own right, but the starting capabilities of ChatGPT were illustrated when asked the following: A recent BBC Tech Tent podcast described you as a drunk lurching through a forest grabbing on to the next tree. This is in relation to your statistical approach to generating a response. How do you respond to that? If you’d like to find out what ChatGPT had to say about this and more… then please follow the link to the full blog post here:
When a crucial business decision needs to be made, it’s vital that your staff have the information they require at their fingertips.
Artificial Intelligence (AI) is flourishing in business and industry, with a global market growth of 54% year-on-year predicted over the next three years. In the energy sector, AI-enabled software offers many benefits, including the potential to reduce energy waste, slash costs, and accelerate the use of renewable energy sources...
The benefits of Machine Learning are extensive and promise to transform the way that businesses operate, with significant cost savings, enhanced productivity, and better efficiency likely once an AI project has been implemented. However, the effectiveness of ML depends heavily on the quality of the data, so why is data cleaning fundamental to successful AI data processing?
For a long time, knowledge workers have had to manually capture useful information contained in documents by transcribing it to corporate repositories.
If the reports are hardcopy, they may also have to use digitisation services to apply Optical Character Recognition (OCR) technology and produce searchable PDF-type digital files before the information is manually captured...
Natural Language Processing (NLP) and Technical Language Processing (TLP) are two connected innovations that allow us to get a deeper understanding and classification of search terms. These solutions are incredibly useful and empower businesses with better data analysis opportunities.
The thread that runs through the most successful AI-enabled search tools is effective data processing and getting your house in order is an essential step towards getting the best from AI technology.