Private enterprises, governments and practically all types of organisations are making use of this next-generation analytical agility.
The talents of accelerated analytics are already used across multiple sectors, including telecoms, retail, finance, oil and gas, genomics and logistics in a range of ‘big data’ applications, including:
Data analytics -the science of analysing raw data to make conclusions about that information.
Data science – uses scientific methods, algorithms and systems to extract knowledge and insights from a mix of structured and unstructured (and often cloudy) data.
Machine learning – a method of data analysis that automates analytical model building. It’s a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.
Deep learning – a subset of machine learning, with layered neural networks attempting to simulate the behavior of the human brain – allowing it to learn from vast quantities of data.
Business intelligence analytics – this is a data management solution implemented to collect both legacy and current data. BI analytics uses statistics and software to analyse raw information and deliver insights for better decision making.
Location intelligence solutions – uses spatial data to identify and understand trends and relationships across locations and geographical regions.
Most importantly, accelerated analytics has the ability to deliver an interactive real-time analytics experience with a huge emphasis on speed. This almost limitless potential for processing and visualising vast amounts of data in real-time is a result of the complete rethink of how computer hardware is used.
GPU-accelerated computing functions by assigning parts of an application to the GPU, as opposed to using traditional architecture, which uses CPUs that are much slower and require significantly more hardware. Older CPU-based systems also rely on a level of manual processes from users and data scientists, such as down sampling and indexing.
In contrast, GPU-accelerated analytics take entire datasets into the system, enabling users to instantly visualise in an interactive way, query effectively and power data workflows over billions of lines of data.
Legacy CPU-based systems just don’t cut it with understanding value in large datasets
While a CPU handles the core functions of a computer, a GPU acts as a specialised microprocessor with the ability to take over when intensive computations are required.
GPUs and CPUs for analytics – know the difference
CPUs (Central Processing Units) are highly versatile and good at handling multiple tasks. However, GPUs are typically far more powerful and can handle a few specific tasks incredibly well. This makes them perfect for taking on repetitive and specialised computing processes with incredible accuracy and speed.
GPU-accelerated systems are also inherently well suited to provide interactive visualisation in real-time for enormous datasets.
Who uses Brytlyt GPU-accelerated analytics systems?
Our systems accelerate process-intensive tasks across a variety of industries, including, but not limited to, insurance, financial, telecoms, pharmaceuticals, defence and logistics. These industries are unlocking their analytics potential by updating their technology to take advantage of the vast amount of data available. The modern processing technologies that Brytlyt offer give a far greater data insight and level of performance than archaic legacy systems could ever offer.
Brytlyt can empower your organisation to turn data into actionable insights.
Why use Brytlyt GPU-accelerated analytics?
- Brytlyt helps you interactively query, visualise and power data science workflows over billions of records with a wide range of accelerated analytics solutions.
- Our end-to-end platform delivers decision support and business critical insights.
- Built on PostgreSQL, we empower users to analyse more data, faster, and with ease.
A next-generation analytics workbench
Our analytics visualisation workbench means our clients can generate smarter intelligence at impressive speed. This information can be processed in many ways. Reports and summaries are good, but interactive dashboards that give users the power to make decisions in real-time are better.
By understanding the importance of results driven by data, we help our clients find meaning in their data with rapidly accelerated analytics.
Our unique GPU IP technology has been developed to be at the very forefront of the transformational insight revolution. Our next-generation platform with ‘speed-of-thought’ analytics is built for ambitious businesses who want to harness the power of their rapidly growing datasets.
At the forefront of the transformational analytics revolution
Our unique GPU patent pending IP technology has been developed to be at the very forefront of the transformational analytics revolution. Our next-generation platform with ‘speed of thought’ analytics is built for ambitious businesses who want to harness their rapidly growing datasets of today and for tomorrow.
Brytlyt allows you to generate valuable intelligence, faster.
By working with a variety of clients in multiple industries, we have a unique perspective in understanding how data drives an organisation. We help you to achieve your goals by finding patterns and insights across huge amounts of data, in an instant.
