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28 Apr

Posted at 09:30h in Uncategorized

In today's fast-paced and perpetually connected society, there is a very real risk of information overload, given the sheer volume of information that comes out on the internet daily.  According to news intelligence company YUKKA Lab, it's estimated that around 97,000 financial news items are published online daily.  If a researcher takes an average of 55 seconds to read an article, it would take them 23 days just to read through all the financial news that came out in a single day.  97,000 financial news published daily   Realistically, someone can read around five to 15...

23 Feb

Posted at 20:22h in Uncategorized

"What does ChatGPT mean for you?" "Just deploy a large language model”, is the new answer since Chat-GPT was released last November. "What does ChatGPT mean for you? Is it going to replace years of development of your in-house solution?“ are questions asked by potential clients and investors.   In our team, we have worked with a multitude of NLP models ranging from small to large, and have been thinking about many of these questions consistently over time. This article is an attempt to answer a few of them directly by sharing the reflections and...

01 Jan

Posted at 12:00h in Uncategorized

Dear YUKKA Community,   we, as the founders of the company, wanted to take a moment to personally extend our warmest greetings to each and every one of you. As we enter the new year of 2023, we wanted to provide you with a glimpse of our plans for the coming year.   THE WORLD IS UNCERTAIN   At YUKKA Lab, we are aware of the current economic uncertainty fuelled by the unique configuration of four specific topics: First, we are still recovering from Covid that leads to unpredictable consumption and supply chain efficiency. Second, the rate rise (to...

17 Nov

Posted at 12:33h in Uncategorized

YUKKA Lab AG is proud to announce that we were named a Cool Vendor in the 2022 Gartner® Cool Vendors™ in Natural Language Technology for Processing Enormous Volumes of Unstructured Data. We take this as a recognition for our commitment to transform unstructured news data into real-time measurable scores and signals.According to the 2022 Gartner Cool Vendors Report, “human-generated content can no longer be handled manually or with the previous generation of data processing tools. This increases the demand from enterprises to apply new methods that analyze and process enormous volumes of data.” ”We feel...

01 Sep

Posted at 12:00h in Uncategorized

Since the start of the Energy Crisis, YUKKA Lab news-based algorithms have detected an unprecedented increase in reports on insolvencies, bankruptcies and production & delivery issues within the German energy sector. Major trending topics detected by YUKKA algorithms and Google Trends include ‘Blackout’ and ‘Electrical Heating’ as a result of surging energy prices.  [pdf-embedder url="https://www.yukkalab.com/wp-content/uploads/2022/11/Energy-Report.pdf" title="Energy Report"]...

29 Jun

Posted at 14:37h in Uncategorized

Curious to monitor and manage supply chain risks of your portfolio in real-time? In Germany, flight disruptions due to staff shortages at major airports and workers strikes at the Hamburg harbour have led to supply chain disruptions in June. Find out more in our news-based Supply Chain Impact Report! Not your target group? Contact us to get a customised supply chain impact report for your portfolio! [pdf-embedder url="https://www.yukkalab.com/wp-content/uploads/2022/11/supply-chain-impact-report-yukka.pdf"]...

04 Aug

Posted at 17:25h in Uncategorized

We are going behind the scenes to discover how our in-house data scientist Alexander Pieper uses News Sentiment data to create Buy/Sell Signals for stocks. Transforming unstructured news data into structured signals! A Step-by-Step Guide to transform raw data into an AAPL Trading Signal in Python: https://medium.com/yukkalab/efficient-float-array-storage-on-elasticsearch-a098f937bbc2 Summary and Outlook What did we do in this article? We went from having raw News Sentiment data to having a daily executable investment signal for the Apple stock in only 14 lines of code (excluding backtesting (16 lines) and plots (45 lines)). A portfolio using this...

29 Jun

Posted at 15:02h in Uncategorized

At YUKKA Lab, we’re constantly working on cutting edge solutions to solve problems around unstructured data and its application in industry. Here's what Dean Shaff, one of our YUKKA Lab Data Scientists, discovered while solving a key technical challenge on the road to implementing one of our most exciting new features. A must read for any data scientist out there working with ElasticSearch. https://medium.com/yukkalab/efficient-float-array-storage-on-elasticsearch-a098f937bbc2 ...