In the Large Language Model era, many researchers use web-scraped data but only a few admit engaging in this grey legal area activity. You probably would not find web scraping jobs on LinkedIn, yet the demand for such specialists is certainly higher than ever.
Cloud or on-premises is a question that many organisations faced before. The 4 main factors that are critical to account for are:
1. Level of cloud awareness within the team
2. Need for architectural flexibility
3. Complexity of existing infrastructure
4. Existing pain points
Are you a Data Science practitioner interested in forecasting?
Check out our recent blog article which surveys newest advances in the field. You will learn the secret sauce behind the state-of-the-art, we also share some useful tips for your projects
mangodata.io/blog-post/fore…
85% of Data Science projects fail and the key factor that determines success of such projects is large amount of high quality data.
Making a catalog of all data sources and making the documentation available throughout the organisation may dramatically change your AI performance
Spotify won over the music streaming industry by using #AI to personalize song recommendations. Personalization simplified song discovery making users spend more time on the platform. Check out our #blog to learn more how #DataScience can become your competitive advantage
Not sure if investing in Data Science is worth it for your company?
Check our blog post, where you will find 5 reasons why doing data-related projects may be less risky than you think.
mangodata.io/blog-post/five…
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