Generative AI Chronicles
The tech world has been shaken to its core since the emergence of generative AI. Hiflylabs helped realize the power of gen AI for Catylex,
Casting Your Data Team
The perfect orchestration of internal and external resources When it comes to casting a data team, it’s not just about finding the right people with
Mastering AI: Outsmarting the Competition
AI governance decisions can have significant impact on both the workforce and the clients of an organization, making it crucial for executive leadership to consider
This is a very interesting section here.
Data warehouse development: “Top-down, bottom-up, or outside-in”?
Reading time: 2 min In the initial (typically the bidding) phase of a data warehouse project, a key question is whether the project is to
How to detect tweet sentiment with Amazon Comprehend in R
Reading time: 5 min Table of Contents Introduction Scraping twitter and using Amazon comprehend in R Sentiment Analysis Conclusions Photo by Lidya Nada on Unsplash Introduction This article
How to price your convenience stores?
Reading time: 3 min Case study: How to price your convenience stores? This case study describes our results of a recently completed project. Our partner
Indirect value of data projects
Reading time: 2 min Payback of data projects As a project company dealing with delivering data solutions, we also benefit from that the money, our
GDPR in real life – experiences of a GDPR-readiness project from a data scientist’s perspective
Reading time: 3 min With slight exaggeration, alarm bells has been ringed for years for data management companies: 25th May 2018 is the date when
Reading time: 2 min In practical data mining it is a common experience that there is much more room to enhance forecast by introducing new
Itt a big data, hol a big data?
Olvasási idő: 2 perc Annak apropóján írom e szösszenetet, hogy könyvünk (Business value in an ocean of data) e-book formában is megjelent. Ezt a formát
I don’t like average, I vote for median
Reading time: 2 min Attention! Statistical topic coming! Attention! It’s so easy to interpret that it’s no excuse to skip it! We live in the
Data-Frankenstein: Data Quality horror stories
Reading time: 2 min The hero of this story is a fictional character, any resemblance to reality is NOT accidental. The idea of this post
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