Generative AI: Five Predictions for 2024
Five generative AI predictions for 2024, from customized multimodal chatbots and healthcare uses to open-source models, industry adoption, and regulation.
Blog - Page 20
Getting started with ELK in Python
Set up ELK for a Python app: send Flask logs to Logstash, index them in Elasticsearch, and view them in Kibana, all running locally with Docker Compose.
Google Cloud cost management - how to save money on your infrastructure?
How Google Cloud billing works and how cost management tools like dashboards and cost breakdowns help you control and cut infrastructure spend.
Google’s BigQuery vs. Spark – overall comparison
BigQuery vs Spark: a serverless Google analytics warehouse compared with an open-source distributed engine. How they differ and which fits your data work.
Marcin Boruch
Harnessing ML as a Service for Effective Supervised Learning
ML as a Service (MLaaS) lets teams build supervised learning models without heavy infrastructure. See how it speeds deployment and lowers project cost.
How does MapReduce work for Big Data? All you need to know
How MapReduce processes large datasets in a Big Data environment, step by step, and what business benefits the Hadoop framework brings to companies.
How First-Party Cookies Can Enhance Your Marketing Strategies
First-party cookies help marketers personalize experiences and target audiences while staying compliant with privacy rules. Benefits, challenges, and tips.
How to deliver bullet proof DAGs like a boss? Local development using Apache Airflow and Docker Compose
Run Apache Airflow locally with Docker Compose to develop and test DAGs faster, with quicker feedback and more control than a remote cloud environment.
Milena Kapciak
How to Design an Effective GenAI Agent: Best Practices and Challenges
Design principles for GenAI agents in retail: how GPT models and conversational AI make shopping more accessible, plus common development challenges.
How to Effectively Collect and Utilize First-Party Data?
How to collect and use first-party data for marketing: what it is, where it comes from, and how it supports targeting, personalization, and loyalty.
How to Speed Up Data Processing with Google Cloud Dataflow and Apache Beam
Explore how MLaaS simplifies supervised learning with scalable tools, cost efficiency, and accessibility, empowering businesses to harness machine learning.
How to validate data in Python using Pydantic library
Validate data in Python with Pydantic: enforce strict types, parse YAML configuration files, handle secrets safely, and configure models for cleaner code.