Hanna Bekefi·Sep 14How a Fortune 10 Company Builds Great Tableau Dashboards Faster Than YouI’m going to give it away right at the top: they do it by using something called a “design system.” …Data Visualization8 min readData Visualization8 min read
Szilvia Hodvogner·Aug 21A No-Nonsense Approach to Large Language Models for the Enterprise pt. 3Final Results and Evaluation — Businesses are rushing to adapt language models to better serve their unique use cases, but due to the rapid evolution of the technology and the many variables in enterprise implementations, there’s a shortage of actual-best practices for getting the most out of LLMs at this scale. Effective LLM integration requires…Data Science24 min readData Science24 min read
Lajkó Gábor·Aug 18Avoid the Pitfalls of Causality AnalysisBusiness intelligence has been concerned with “why” questions since the field’s inception, and there’s a wealth of methods that companies employ to find answers. …Data Science11 min readData Science11 min read
Bálint Kovács·Aug 2A No-Nonsense Approach to Large Language Models for the Enterprise pt. 2Tools, Methodologies and Use Cases — For businesses, large language models (LLMs) — so-called due to the high number of parameters and the petabytes of online data that they were trained on — are one of the most potent and exciting technologies to emerge in recent memory. …Data Science13 min readData Science13 min read
Bálint Kovács·Jul 19Overcoming Data Science Challenges in Biosensor AnalyticsThe integration of technology and healthcare continues to revolutionize the way we monitor and promote human well-being. …Data Science7 min readData Science7 min read
Balázs Zempléni·Jul 18A No-Nonsense Approach to Large Language Models for the Enterprise pt. 1Crucial Context, Experiments and Early Findings — Generative AI seems to be taking over the world, and many executives and the enterprises they steward have a hard time keeping up and understanding where to place their attention. Transformers, diffusion models, large language models (LLMs), different generative pre-trained transformers (GPTs) like ChatGPT, Alpaca, LLaMA, PaLM, Bard and artificial…Data Science10 min readData Science10 min read
Zsolt Palmai·Jun 19Profitable Location Data Monetization — 3 Lessons from a Telco CompanyCompanies in many industries are hoarding piles of cash and don’t know it. Case in point: a telecommunications giant was sitting on massive amounts of anonymized location data that a variety of would-be customers were eager to pay handsomely for. How do we know? We helped them take that treasure…Data Science6 min readData Science6 min read
Marton Meszaros·Jun 9Avoid These 3 Mistakes When Working with a Synapse Dedicated SQL PoolAs we showed in our recent cloud data warehouse benchmark, the Synapse dedicated SQL pool is one of the most powerful and cost-effective cloud warehousing solutions on the market, but getting optimal performance and value from it requires careful considerations at every step of the workflow. Below, I’ll explore three…Data Warehouse5 min readData Warehouse5 min read
GÁBOR BEREI·May 10Consumer Goods R&D with Automated Product Stability ForecastingConsumers today are more educated than ever, which has driven a change in preferences towards, among others, increased transparency in ingredient sourcing, waste and product testing. This has led companies to seek new ways to stay competitive — only to find that the necessary experimentation and adjustments can be highly…Data Science4 min readData Science4 min read
Anjan Banerjee·May 8Find the Balance between Cloud Cost and EfficiencyThe rapid advancements in technology and the increasing need for flexibility, scalability and cost-effectiveness have led many organizations to consider migrating their on-premises data platforms to the cloud and embrace the power of cloud computing. The cloud can unlock countless benefits, such as enhanced security, flexibility and scalability. However, as…Data Engineering5 min readData Engineering5 min read
