Jörg Schad, CTO at ArangoDB, illustrates how the fusion of Large Language Models and Knowledge Graphs creates a potent synergy, bypassing the need for specialist teams to manage database queries and averting model hallucinations. In the tech realm, LLMs, particularly...
Deep learning has achieved tremendous success in recent years, attaining state-of-the-art performance on complex tasks like image recognition, natural language processing, and speech recognition. However, deep neural networks typically require large amounts of labeled...
In the realm of data analysis, there's a powerful duo of statistical techniques that holds the key to unraveling relationships within our data: Correlation And Regression Analysis. These techniques help us understand how variables dance together, revealing intriguing...
In today's interconnected world, cybersecurity has become a critical concern, demanding the need to identify unusual and potentially malicious activities within networks, user behaviors, and system operations. Traditional rule-based methods for anomaly detection in...
Many enterprises are either on the path of becoming data-first or already leveraging their data assets. Such a digital journey gets fuelled with data – an enormous amount of it, that is generated daily to empower such data-powered insights. But maintaining data assets...
Unsupervised log anomaly detection is a technique to detect anomalies in logs and can be more effective than supervised log anomaly detection which requires a lot of labeled data. The idea is to be able to do this from the command line interface using a pip install...
Software development is a learning process in itself. Not only do developers learn in retrospect, but they also need to frequently update a piece of code while working on a project. This iterative development process oftentimes calls for updating the code in the light...
If you have built machine learning pipelines, you must have faced questions like “How does this model generalize well on unseen data?”. One of the most critical assumptions in building a successful machine learning model is that it can generalize on the previously...
Earlier this month, Foursquare introduced its new Hex Tiles technology - a next generation tiling system that gives data scientists the ability to easily unify diverse spatial datasets, conduct on-the-fly analytics, and quickly visualize and explore big data on a...
Data analytics at the edge is the trend of connecting autonomous vehicles, wearable devices and automated oil rigs that are operating with no human assistance. The benefits are huge, yet so are the challenges. According to the Ericsson Mobility Report 2021,...