Predecir is pleased to announce the availability of a new, powerful predictive analytics platform to address a $20 billion problem for businesses: inefficient cloud spending management, otherwise known as “cloud waste.”
PREDECIRx utilizes artificial intelligence (AI) and machine learning (ML) technology to dramatically reduce inefficient cloud management, which according to Forbes, now accounts for 23% of total cloud spending.
The Last Mile in Actionable Predictive Analytics
Predecir Nominated for an Edison Award in Innovation
AUSTIN, TX. February 09, 2021. Predecir is pleased to announce today that it was nominated for the prestigious Edison Awards in the Innovation category for its debut product PREDECIRx, a predictive analytics solution powered by Artificial Intelligence (AI) and Machine Learning (ML) that eliminates wasted cloud spend.
“In the true spirit of Thomas Edison, our organization looks for innovations that not only address a need and solve a problem, but also seize an opportunity and create a new market or industry,” writes the Edison Awards Committee. “And true to Edison’s work, the Edison Awards is interested in the overall method and development of the concept and opportunity of the innovation as it progressed from genesis to design and implementation.”
Predecir’s flagship product – PREDECIRx – was nominated for an Edison Award in Innovation because it solves a daunting problem. In 2020 alone, $17.6 billion US dollars were wasted on cloud spend, and that number is expected to exceed $20 billion in 2021 and $26 billion in 2022.
While businesses of all sizes are flocking to the cloud to reduce complexity and enjoy the cost savings of sharing resources in the cloud, typically most cloud vendors do not provide visibility and the necessary analytics into how those cloud resources are being used. Businesses of all sizes end up paying for idle resources or under-utilized resources that rack up their cloud bill each month. Predecir specializes in cloud resource utilization and rightsizing technology to eliminate this wasted cloud spend.
“Predecir provides actionable predictive analytics to intelligently analyze the short- and long-term needs of cloud resources to reduce our clients' cloud costs,” said Satish Kambalimath, CEO and Founder of Predecir. “Our AI and ML technology optimizes the infrastructure footprint in AWS, Azure, and Google cloud environments as well as private and hybrid cloud deployments.”
“In our recent customer engagements, our clients have told us that PREDECIRx not only provides an advanced indication of the health of their compute farm, but also provides insight into resource utilization, predicting usage for the future, thus reducing any waste in their cloud operations costs,” said Satish.
Predecir’s unique value provides customers with the following:
Visibility into cloud resource usage as it occurs, to remove cost blind spots
Predicting the workload
Forecasting resource requirements before incurring runaway costs, months in advance
Prescriptions that protect customers from budget overruns
Further, Predecir is cloud agnostic for inter and intra cloud operations.
About the Edison Awards
The Edison Awards are named after Thomas Alva Edison (1847-1931) whose extraordinary new product development methods garnered him 1,093 U.S. patents and made him a household name across the world. Edison pioneered five industries which transformed our world, including the incandescent electric light and the system of electrical power, the phonograph and recorded sound, the telephone transmitter, the storage battery, as well as movies and the motion-picture camera.
Predecir provides cutting-edge technology and services that enable our clients to optimize their cloud usage while minimizing their total monthly spend. We have developed proprietary actionable predictive analytics to stay ahead of the curve and improve profit margin and EBITDA. Our system intelligently analyzes the short and long term needs of capital investment for resources to optimize the infrastructure footprint in AWS, Azure, and Google cloud environments as well as private and hybrid cloud deployments.