AI and Data Science as a Service

We at WildFire provide best AI and Data Science as a service. What this means is that you can now integrate your workflows or processes with AI with easy to integrate web service to predict or score. The use cases could be for sales and marketing, operations, finance, technology and other functions within your company. You don’t have to worry about where the AI predictions or scoring is running.

Advantages of AI as a service

1. Rapid integration with your current workflow or process.
2. The machine learning model can be changed or retrained without any impact to your system.
3. You will get all the advantages of a service oriented architecture.
4. Lower initial costs and maintenance.
5. No need to worry about retraining the model as it is done with in the service.

How is our data science as a service different?

We have worked on 100’s of use cases and built a robust AIaS (AI as a service) or DSaS (Data science as a service). Our infrastructure is highly scalable!

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We are experts in data science and work with your in-house team or help you deliver projects using entirely our resources.

It is very important to use open source tools and stay away from proprietary AI platforms. AI is still a moving target. By locking in to an AI platform, you risk wasting a lot of time and resources when new AI technologies appear. We only use open source tools and help you build AI and data science platforms which are platform agnostic and easy to maintain and support.

Our expertise:

– Traditional machine learning and deep learning
– AWS, Azure, and Google cloud
– Tensorflow, Scikit-learn, Keras, Caffe, MLlib, and other machine learning frameworks
– Chatbots
– Time Series analysis
– Predictive Analytics
– Clustering and Segmentation
– Classification and Labeling
– NLP
– Dynamic Pricing
– Customer Segmentation
– Anomaly Detection
– Assets Planning
– Fraud Detection
– Big data end to end strategy
– Hadoop, Spark, Kafka and other big data technologies

Industries we serve:

– Automotive
– Banking
– Consumer
– Education
– Engineering
– Energy
– Oil and Gas
– Fast-Moving Consumer Goods (FMCG)
– Finance
– Food and beverage
– Government
– Healthcare
– Insurance
– Legal
– Manufacturing
– Media
– Online
– Real estate
– Retail
– Technology
– Telecommunications
– Transportation
– Electronics
– Not-for-Profit

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