Overview  AI and machine learning roles are seeing the fastest growth globally, with employers prioritizing expertise in LLMs ...

Microsoft has opened Azure Linux 4.0 preview for Azure VMs and containers, giving teams a test path before support and FIPS ...

A Forward Deployed Engineer (FDE) is a hybrid between a software engineer and a strategic consultant. While a standard engineer builds products for thousands of ...

In 2026, Azure Machine Learning has evolved from a sandbox for data scientists into a robust platform for operational forecasting, yet many teams still struggle to see what happens after deployment.

Develop and maintain our data storage platforms and specialised data pipelines to support the company’s Technology Operations. Development and maintenance of LakeHouse environments. Development of ...

In 2026, business intelligence(BI) has become a critical capability for enterprises that want to compete in data-driven markets. Organisations are no longer struggling to collect data; they are ...

Like every Big Tech company these days, Meta has its own flagship generative AI model, called Llama. Llama is somewhat unique among major models in that it’s “open,” meaning developers can download ...

Data lakes are essential parts of AI infrastructure, allowing companies to manage and store data on a scale necessary to fuel data-intensive AI models This week's list shines a light on the companies ...

Data is mixed. Inside modern enterprise IT stacks, it is quite standard to find data streams, data flows, data repositories and data connection channels that exist across various formats, platforms ...

With the vast amount of data generated by the world, the need for an efficient and accurate platform and tool to manage, analyze, and extract value from data is increasing. In 2025, many companies ...

Rajkumar Kyadasu is a Lead Data Engineer with over 9 years of experience in data engineering, cloud infrastructure, and automation. Currently employed as a Lead Data Engineer, Rajkumar focuses on ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...