Latest blog posts by Jakub Grabski

Learn to develop advanced in-room voice assistants using Google's speech recognition and Langchain LLMs. Explore coding tips, NLP, and secure data handling.

Data science and analytics are essential for modern business success, enabling smarter decisions, efficiency, and innovation. This article explains how to implement data-driven strategies, highlights real-world benefits, and explores the tools and trends shaping the future of business intelligence.

Cloud solutions are revolutionising business operations by offering unmatched flexibility, cost savings, and access to advanced technologies like AI and IoT. This article explains the benefits of cloud adoption, key considerations for a successful transition, and future trends that will shape the digital landscape. For businesses seeking agility and innovation, the cloud is now a strategic imperative.

Machine learning is transforming predictive analytics by enabling accurate forecasting and smarter decision-making across industries. This article explains ML methods, real-world applications, key tools, and future trends, highlighting how data-driven insights are shaping the future of business.

This guide explains how FMCG companies can adopt MLOps by starting with pilot projects, investing in training, fostering collaboration, and automating workflows with AI. Practical tips and real-world examples help ensure efficient, scalable, and innovative machine learning operations.

MLaaS platforms make supervised learning accessible and efficient by offering cloud-based tools for data preprocessing, model training, and deployment. This article explains their benefits, key algorithms, and the future of MLaaS in business and research.

Continuous Delivery for Machine Learning (CD4ML) empowers FMCG companies to deploy and manage ML models efficiently, improving forecasting, inventory, and marketing. This article details best practices, automation techniques, and real-world case studies for successful CD4ML implementation.

MLOps is revolutionising the FMCG sector by bringing DevOps principles to machine learning, enabling efficient, secure, and scalable AI deployments. This article explains the core components of MLOps, its benefits for inventory management, demand forecasting, and personalised marketing, and highlights future trends and strategies for successful adoption in 2023 and beyond.

MLOps is revolutionising supply chain optimisation in FMCG by automating model deployment, monitoring, and management. This article explains key tools, best practices, and real-world results, showing how MLOps drives efficiency, cost savings, and agility in modern supply chains.

MLOps is revolutionising the FMCG industry by automating and optimising machine learning deployment, enabling better demand forecasting, inventory management, and customer engagement. This article covers MLOps principles, tools, best practices, and real-world case studies, highlighting its growing importance in FMCG digital transformation.