Co-create your digital journey with AI enabled hyper automation

Predictly understands how important it is to automate the processes in a business and Predictly is here to help businesses in implementing machine learning with no hassle, which reduces costs and optimizes the overall productivity.

How AI makes process automation easy?

Predictly ML OPS Platform

1
Business Understanding and Value Proposition

A 3W analysis to understand the problem statement and determining the ideal way of solving the problem with Machine learning and what will be the cost impact.

2
Data Collection, Annotation and processing

1. Data Collection:

Finding out the right data sources for the problem statement and what will be the best storage for the collected data.

2. Annotation:

Building a high quality dataset is as important as building the right model. We will use our Predictly Data Annotation Platform to effectively annotate data in a much less time and cost.

3. Data Versioning:

To keep track of the additional data and unlabeled data we will keep versioning data using DVC tools.

3
Data Analysis and Experimentation

Run multiple experiments and data analysis techniques to understand the data more and prepare features. Figuring out the best metric, creating metadata are one of the tasks that will be curated in this phase.

4
ML Pipeline

1. Build:

Predictly starts building a simple model as the baseline and keeps on improving with different complex models as per the requirements.

2. Train:

Predictly takes care of the entire training process, which involves comparing models with the right metrics, tuning hyperparameters, understanding impact of overfitting and a lot more.

3. Test:

Before pushing a model into production, Predictly runs the final model against all sort of test cases to ensure it runs smoothly on the deployed platform.

3. Deploy:

Predictly deploys the models in various methods such as REST API, Containers, Model serving etc.

5
Monitoring

1. Model:

With CI/CD/CT (Integration, Deployment and Training) we ensure the model keeps running smoothly in real time.

2. Data:

We constantly monitor the data distribution and whenever there is a change in data distribution we utilizes our CT (Continuous Training).

3. Application:

We continuously monitor the application, to track every functionality that works perfectly. And this is where we keep utilizing CI/CD to be on track.

Why should you use Predictly ML Ops?

A completely managed platform to deploy machine learning models on Cloud or on premise with minimum setup.

All deployed models went through rigorous testing to achieve best metric performance and make it work under real world conditions.

An optimized flow of machine learning operations to achieve the best performance in minimum time and less turbulence.

Predictly ML OPS committed to protect its user data and it’s intellectual property with utmost priority.

We accelerate the automation process with our Artificial Intelligence/Machine Learning enabled Hyper Automation platform.

How you can leverage our platform

Off-the shelf trained models 

Explore our off-the shelf already trained model with pre-annotated datasets. Which offers a wide range of applications like Legal clause classification, Resume entity recognition and many more. (explore model catalog)

Customized inference APIs

You have your own business requirements and use case to solve, We are happy to provide you the customized Machine learning model in an REST API form. [Get started]

Fully customizable end-to-end ML solution

Predictly offers you to solve your entire business problem/use case with Machine learning and deploy it as an application.

 

Use Predictly hyper automation for NLP and CV applications

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