Insights

Companies planning their ESG strategies and associated reporting should not overlook the importance of automating and digitizing data in this field.

Among AI applications, ChatGPT has emerged as one of the most well-known and among the most contentious.

This article will delve into the features, benefits, and use cases that position Amazon Q as a game-changer in the realm of business intelligence.

Automation and artificial intelligence (AI) are reshaping industries and contributing to economic growth, while simultaneously transforming the nature of work.

At Adastra, we have intelligent and inspiring women who are shaping the future of STEM through their achievements.

In the dynamic world of business, artificial intelligence (AI) and machine learning (ML) have evolved from visionary ideas to fundamental drivers of change across many sectors.

Our solution masters ESG data collection with a thorough review aimed at cleansing the existing cache along with testing its accuracy.

AWS Glue is a fully managed ETL service that helps customers categorize, clean, enrich, and move data cost-effectively across stores.

As AI and GPT technologies continue to gain significant attention, understanding their capabilities and implications is crucial for companies.

Join Ondřej Vaněk, Chief AI Officer at Adastra, for a deep dive into practical AI strategies that drive innovation and efficiency.

Learn how our management consulting and technology services are shaping a greener future. 

Each year, Adastra surveys IT decision-makers in Canada and the USA to gain insights into what is important to them in the data and analytics space.

Each year, Adastra surveys IT decision-makers in Canada and the USA to gain insights into what is important to them in the data and analytics space.

Each year, Adastra surveys IT decision-makers in Canada and the USA to gain insights into what is important to them in the data and analytics space.

Each year, Adastra surveys IT decision-makers in Canada and the USA to gain insights into what is important to them in the data and analytics space.