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February 22, 2021
aiq latest architecture Predera AIQ
Anu Ganesan Tech

Predera AIQ – Now you can automate your MLOps Effort with AIQ Workbench, Deploy, and Monitor

Predera introduces AIQ, an automated end to end MLOps solution for machine learning teams to drastically cut down on the challenges faced today in building, deploying and managing machine learning models. AIQ provides a command center view of all your ML models in one place to improve the visibility and
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February 11, 2021
mlops solution
Anu Ganesan Tech

Reimagine MLOps Solution SageMaker Vs AIQ

What is MLOps? Why do we need end to end MLOps solution for successful machine learning projects? The primary responsibility of Data Scientists involves extracting value out of data by building and operationalizing Machine Learning Models. As businesses are embracing data science to improve business strategy, Data Scientists are struggling
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January 23, 2021
what is mlops? how to reduce cost and inrease productivity eith mlops?
Anu Ganesan Tech

What is MLOps? How to reduce cost and increase productivity with machine learning?

MLOps is a new discipline that originated from deploying machine learning models to production. Building machine learning models has found its place with the optimal tools, libraries, and frameworks, but, MLOps is still not mature enough to effectively manage models in production. What defines the scope for an end to
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October 21, 2020
covid banner Predera AIQ
Marketing Team Tech

How Deep Learning is utilized to detect COVID?

Covid Definition: A mild to severe respiratory illness that is caused by a coronavirus, is transmitted chiefly by contact with infectious material (such as respiratory droplets) or with objects or surfaces contaminated by the causative virus, and is characterized especially by fever, cough, and shortness of breath and may progress
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October 29, 2020
mlops banner 3 Predera AIQ
Anu Ganesan Tech

MLOps Challenges and Solutions

Understanding MLOps challenges and solutions play a key role for successful machine learning projects. Software Engineering is all about building, testing, deploying, and monitoring applications. While Machine Learning seems similar to software engineering, it is much more iterative in nature involving data engineers defining and refining data, data scientists building,
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