Automating document management and data processing at unprecedented speeds with ANNA
Who we are
nCore Data Management, Inc is a software development company that has developed the 1st commercially available AI-based Smart File Management System and Data Processing Acceleration Software proven to automate and significantly accelerate the processing, extraction, ingestion, databasing and storing of data to optimize operational efficiencies and reduce the costs for enterprise-wide data initiatives.
As the world navigates an era of data proliferation, there has never been a more opportune moment for nCore to enter the market with our Trade Secret protected IP; Adaptive Neural Network Accelerator (ANNA) Smart File Management System, and nCelerate (nCel) Data Processing Acceleration Software. With a laser focus on these AI-based innovations, we stand poised to revolutionize how enterprises handle the deluge of information at their fingertips. In an age where data usage is skyrocketing and the need for rapid insights is paramount, our disruptive technology offers a timely and indispensable tool for organizations striving to remain competitive in today’s fast-paced digital landscape by bringing meaning to companies’ data faster and more efficiently on their existing hardware.
Data Enablement and AI
INDUSTRY CHALLENGES
97% of companies say they’re investing in Big Data and AI
99% said processing and acting on data as fast as possible was critical (1)
80% said they need to process and act on data more quickly(2)
The Banking, Financial Services, and Insurance segment alone will grow 6x in the next 7 years due to leveraging data to increase the focus on improving customer service and early fraud detection, and has a “rising need for faster data processing in this sector”
For the development of AI, enterprises must first convert raw and disparate data into smart data, “AI-ready”, and the speed of processing data is the key
Data analytics investments up, yet only 31% organizations are “data driven”
87% of data science projects never get to production
79% of data projects have too many errors
60% of all data analytics projects fail
- Human Error
- Data Architecture
- Waiting on systems / bottlenecks
- Waiting for access to data
- Poor Quality
1.Data Processing for Analytics, survey by Alison DeNisco Rayome.
2.(BFSI) Market Synopsis, Emerging Research
Who we are
nCore Data Management, Inc is a software development company that has developed the 1st commercially available AI-based Data Processing Acceleration Software and Smart File Management System proven to automate and significantly accelerate the processing, extraction, ingestion, databasing and storing of data to optimize operational efficiencies and reduce the costs for enterprise-wide data initiatives.
As the world navigates an era of data proliferation, there has never been a more opportune moment for nCore to enter the market with our Trade Secret protected IP; nCelerate (nCel) Data Processing Acceleration Software, and Adaptive Neural Network Accelerator (ANNA) Smart File Management System. With a laser focus on these AI-based innovations, we stand poised to revolutionize how enterprises handle the deluge of information at their fingertips. In an age where data usage is skyrocketing and the need for rapid insights is paramount, our disruptive technology offers a timely and indispensable tool for organizations striving to remain competitive in today’s fast-paced digital landscape by bringing meaning to companies’ data faster and more efficiently on their existing hardware.
significantly increase processing speed
nCel is the first and only commercially available parallel and multiprocessing software that accelerates data processing by “n” times faster than traditional processing on classical systems. nCel is written to manage the CPU cores, significantly increasing throughput processing speed on your existing hardware. nCel also greatly increases addressable array limits, and using true massive parallel processing never seen before on individual, not ganged, computers. nCel has a No-Code Graphical User Interface that makes it compatible with most systems, eliminating the need for special code sets to be written.
It can run continuously, or even be embedded in third-party programs to make them individually faster.
breakthrough software process
nCEL works by a breakthrough software process. No additional expensive hardware is needed, no CPU overclocking, no system overheating, and far fewer dedicated programmers. By completing processing jobs in a fraction of the time, power consumption is significantly reduced. Less operational cost and burden to get supercomputer results.
reduces need for more computers and hardware
nCel does not require large amounts of RAM to function. And unlike the current hardware accelerators, which depend on ganged computers, nCel greatly reduces the need for more computers or hardware in clusters because it makes even an individual computer so much faster. Current open-source software requires complex code sets to function. More importantly, to compensate for its open-source software inefficiencies, a larger distributed hardware support foundation is also usually needed. nCel can run on-premise, in a cloud environment, on virtual machines, in Linux or in Windows. No matter how you’re processing your files, nCel is the sole software-only solution to complete your processing jobs in fractions of the time on your existing hardware with a GUI interface.
In a 307 enterprise decision maker data processing survey report:
%
Agree that processing and acting on data as fast as possible was “critical”.
%
Said they need to do this more quickly.
%
Noted they still rely primarily on antiquated batch data processing.
The challenge is there is too much data, much of which is raw, disparate, and unstructured. It’s too much data to ingest, to process or move, and too much data to manage and store. Most companies do not have the infrastructure to handle this digital tidal wave, and the technologies lack in terms of bringing structure to raw, disparate, and unstructured data without manual intervention. Companies are now faced with the need to structure, standardize, sort, ingest, process, manage and store large amounts of data and utilize analytic tools to not only make the data actionable in efforts to make better informed decisions and optimize operational efficiencies, but to merely survive. Without an efficient data ingestion process, it would be impossible to collect and prepare the vast amounts of data required to make data “AI ready”.
