Obvious AI (obvs.ai): Providing Simplified AI Solutions to Enterprises

Surya Remanan
3 min readApr 30, 2020

Introduction

Obvious AI aims to solve problems faced by every enterprise in a very simplified manner using Artificial Intelligence(AI). AI solves most of the problems faced by both small scale and large scale enterprises and automates every process and hence manages risks, and boost productivity. It is about time we start exploiting the Real-World power of AI.

The Concept of AiBlocks

Implementing the right AI solution can be complex. The complexity starts from the right use case selection to data collection to model features selection and finally to the integration with existing systems. Obvious AI solves these challenges for you using AiBlocks.

“ AiBlock is an Unit of Intelligent Function developed based on Enterprise ready Frameworks. It works with High Security and Enterprise readiness​. ”

— Nakuldev Patel, Founder Obvious AI

AiBlocks are basically algorithms that divide the whole problem into blocks and are built to support your diverse business needs. They help businesses scale faster with AI solutions. They embed the latest AI capabilities into enterprises to provide them with more intelligent, automated solutions.

The advantages of AiBlocks are:

  • Deploys anywhere,
  • Helps the model to learn faster,
  • They give highly accurate predictions,
  • Open to training any kind of data, and
  • It is platform-independent.

Diving Deeper into AiBlocks

The Architecture of AiBlock

The above flow diagram depicts the Architecture of AiBlock. The Command Center is the heart of AiBlock where the Training, Processing, and Verification of data happens. It makes sure that it is able to manage the functionalities of the platform. (Note that this whole model is probabilistic in nature.)The Command Center takes all the input from the user and passes it to the Runners where the final process of execution takes place and the user receives the output.

For instance, let’s consider the following problem statement.

How to improve loan collection rate using COViD-19 health data:

During this season of the pandemic, most people who do not belong to the IT sector have lost their jobs while those who work in the IT sector still have their jobs. If any of them have applied for a loan, the bank has to consider whom to ask for payment and whom to not as per the COVid health data. Here’s where our cognitive model comes into play. This model helps the bank to channel their attention to those who actually have jobs and increase the collection rate from them rather than pressurizing those who just lost their jobs and are unable to pay back their loan. Hence, this probabilistic model helps the bank to decide who can pay their loan.

Conclusion

I hope that now you are familiar with what Obvious AI aims to achieve and how it uses Artificial Intelligence in a simplified manner to solve complex problems. It helps businesses scale faster with AI solutions. The solutions help you solve diverse targeted use cases and are yet to explore the endless possibilities. After all, the sky is the limit!

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