The game changing aspect of the EdgeFlow approach is shifting the mindset from searching for predefined terms and keywords to AI-driven surfacing of relevant information. This is essential for businesses that need insights beyond of what they already know they should be looking for.
Scouting for The Next Big Thing
To stay ahead in a fast changing world, businesses need the right information at hand 24/7. A new technology, consumer trends, startups on rise: timely awareness of the next big thing can make a giant difference for future success, or failure, of a business.
But how to find high impact information when you don’t know yet what to exactly to look for? Googling for “the next big thing for my business” just does not work here.
Search Engines vs. Find Robots
For timely awareness of relevant movements in the outer world, businesses need to continuously monitor numerous information streams. The challenge that remains is the abundance of information: it is practically impossible to follow it all without drowning in information.
The classical approach to filtering information streams is specifying the search terms, either as individual keywords or their collections (ontologies). This is a good approach for finding specific output, but it misses all relevant insights that are beyond the boundaries of a priori defined searches – including any new game changers.
The AI-driven approach in the core of EdgeFlow is a paradigm shift in solving this problem: instead of predefined terms and keywords, user indicates an area of interest as a search field. Based on user’s assessment of relevance of provided information, and with the help of AI, the EdgeFlow robot itself defines the search field better and better. This makes it possible to find things that you have never thought you should look for in the first place.
What are the Game Changers for Your Business Area?
The ability to find surprising, out of the box insights is the the way forward towards business innovation in R&D, marketing, and innovation, but also for experts in operational functions which are not daily searching for better ways to organize their processes. A relevant insight coming from a local source, unforeseen tender opening, or important competitor move are all examples of how EdgeFlow “find robots” bring answers to questions you did not yet realize you should be asking.
Interested in automated insights finding for your business application? Get in touch to discuss possibilities.