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nonlinear.ai

AI Driven Software Products

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Artificial Intelligence

Artificial Intelligence (AI) makes it possible to automate existing processes, optimize services, improve products and develop completely new ones. This allows companies to reduce costs and dramatically increase customer satisfaction. In the near future AI will be a fundamental part of many companies.

At the same time this enables organizations to become more data driven, whereby:

  • important decisions are based on data.
  • Key Performance Indicators (KPIs) provide a way to monitor the current state of the company at any time.
  • AI based products give you a competitive advantage over your market rivals.

AI Use Cases

  • Churn Prediction
  • Customer Segmentation
  • Customer Service Automation
  • Data Digitization
  • Decision Making Optimization
  • Document Search
  • Fraud Detection
  • Increased Security
  • Lead Ranking
  • Market Insights
  • Recommender Systems
  • Supply Chain Optimization

AI Challenges

Building a successful AI product is challenging. Having said that, with the right experience and know-how these challenges can be easily mastered. A positive outcome strongly depends on three main factors:

data

Data

AI models are based on data. Without data AI is not possible, however huge amounts of data are not necessary in all cases. Existing AI models can be retrained and additionally third party data sets may be used.

technology

Technology

Many of today's applications would not be possible without constant developments in the field of AI.

On one hand, staying on top of these developments is a great challenge, but on the other hand it is the basis for good decision making.

people

People

At the end of the day humans are the ones developing and maintaining AI-based products.

A successful implementation is not possible without experience, the right processes and culture of data fluency.

“Companies that leverage data consistently outperform their peers.”