Neo4j®, the world's leading graph intelligence platform, today announced a $100 million investment to accelerate its position as the default knowledge layer for agentic systems and critical ...

A new MCP Server for Fabric has also been added to enable developers to connect agents to Fabric’s ecosystem to accelerate tasks, such as creating a data pipeline or notebook. Microsoft is adding two ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Rapid advancements in AI are becoming commonplace, driven by large language models (LLMs) that now exceed 1 trillion parameters. While these AI models are revolutionizing many industries, their ...

LESOTHO's once-thriving textile industry...is now staring down a catastrophic barrel, with more than 5000 jobs hanging in the balance. One of the country's textile giants, Lesotho Precious Garments ...

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

Neo4j Inc. today announced a new serverless offering that dramatically simplifies the deployment of its graph database offering, making it easier to use with artificial intelligence applications. Most ...

Neo4j, a leading graph database and analytics company, is introducing Neo4j Aura Graph Analytics, a new serverless offering that can be used with any data source and with Zero ETL (extract, load, ...

Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...

As supply chains grow more complex, organizations are increasingly turning to advanced technologies to enhance efficiency, resilience and decision-making. Among these innovations, digital twins have ...

The rapid development of new technologies – such as artificial intelligence (AI) – paired with immense data processing needs, is leading to a significant increase in power consumption by global data ...