Increasingly, companies of all sizes are now understanding both the applications and wider potential for their business. Once thought of exclusively for larger enterprises, organisations of all sizes (including startups) are now using AI Accelerated Analytics to help them on their data storytelling journey to aid in important decisions being made.
Whether it’s right for your business depends on your goals, however the flexibility and range of applications that AI based software boasts may surprise you.
Brytlyt offers integrated AI capabilities into our platform, which is now available as a serverless SaaS offering, making AI Accelerated Analytics extremely accessible for a wide range of businesses).
Advanced Business Intelligence and Cloud-based analytics tools like those offered by Brytlyt can help companies to better position themselves as market leaders for both today and tomorrow.
How Advanced BI & Analytics Can Help Your Business
GPU powered Business Intelligence tools use AI to take in huge amounts of data and break it down into individual insights. This means it can then be analysed and potentially actioned into a business decision.
It allows companies to see patterns, trends, areas of growth and also areas of weakness and vulnerability. The better your business knows where it is now, the better it can forecast for where it needs to be.
For example, AI-powered Business Intelligence tools allow manufacturers to predict and react to supply chain problems, production challenges and equipment performance before there is an issue.
AI-powered Business Intelligence tools enable greater business decisions.
Since the industrial revolution, technology adoption has long been the single greatest driver in making manufacturing more efficient, faster and cheaper. Whilst enterprises have routinely continued to invest in tech to drive up growth and profits, the global pandemic has sped up this trend exponentially by highlighting the inherent vulnerabilities of the manufacturing industry when confronted with an unexpected disruption to human labour.
Advanced Analytics has a huge emphasis on speed and an almost limitless potential to process and visualise vast amounts of data in real-time.
A significant majority of AI experts agree that organisations will need to improve their system infrastructure to keep up with the curve of AI tech – with data acceleration needed to process vast volumes of data.
HPC (High Performance Computing) typically refers to the practice of linking up computational power in a way that delivers much higher levels of performance than one could achieve from a typical workstation to solve large, complex problems in science (including data science) business, and engineering. This is crucial for the power required for Advanced Analytics.
AI (Artificial intelligence) is something we’re all familiar with, but may not appreciate how much it already integrates in our daily lives and how much impact it’s likely to have in the future. This software grows alongside the continued advancements in hardware and infrastructure.
The Future of Advanced Analytics
Over the coming years, we can expect to see Artificial Intelligence and Business Intelligence working together to create ‘Augmented Data’ and ‘Augmented Analytics’. This looks to deliver Automated Insights (also known as ‘data-based storytelling’) which will help to illustrate key findings in a more automated way, as well as enable other AI led enhancements, including augmented data preparation, automated search engine reporting, and more.
In addition to this, Cloud-based & Mobile BI is expected to grow exponentially, as working from home (and remotely) continues to be part of the new normal for a significant number of businesses.
The business case for data-driven decision making has never been more compelling. Now, it is impossible to find an enterprise that isn’t influenced by data analytics. So much so, that it’s now a cornerstone of certain industries, such as insurance and finance.
As well as the growing demand for the human element of expertise in the data analytics field, there’s also significant growth around the tech that powers it, and augments the experience. Brytlyt empowers businesses to see trends, patterns, areas of growth, and also areas that need attention. The more information your business possesses on current trends and behaviour, the greater the ability to forecast future events.
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, logistics and beyond.
These industries are unlocking their analytical 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 what archaic legacy systems can ever offer.
Brytlyt can empower your organisation to turn data into actionable insight.
What’s AI Accelerated Analytics used for?
A tool is only as good as what it’s useful for; and the potential for our systems is virtually limitless for a variety of Big Data applications, including:
- Business Intelligence analytics
- Location Intelligence solutions
- Deep Learning
- Machine Learning
- Data Science
- Data analytics
- Visualisation
Crucially, GPU-accelerated analytics also has the ability to deliver a truly interactive and dynamic real-time analytics experience.
By understanding the importance of data-driven businesses, we help our clients find meaning in their data with rapidly accelerated analytics.
A truly smart integration
Instead of overhauling existing systems, our platform can be easily integrated into most business environments. Brytlyt is the future-proofed approach to data processing and analytics.
Tomorrow’s technology, today
Brytlyt is the future-proofed approach to data processing and analytics. Instead of overhauling your existing system, our platform can be easily integrated into your business environment. Plus, its adaptable functionality means you can continue to develop the platform as your needs change.
To learn more about how GPU-accelerated insights can empower your business’s strategy, arrange a one-to-one here.
