The way things have started to evolve in Artificial Intelligence and Machine Learning, mid-market and high-growth enterprises can create a competitive advantage for themselves utilising these areas. As a new age CIO or IT Director, a big-bang approach is not advisable on relatively new area such as ML, instead the focus should be more on working in an incremental development structure with a global delivery model, which allows Rapid Application Development to bring out a working prototype faster to the market and utilise data insights to customise the product to build Scalable Solutions . In today’s age of huge volumes of data, CIO’s can adopt machine learning building precise models, the mid-market and high-growth enterprises has a better chance of identifying profitable opportunities – or avoiding unknown risks.
At Ignitho, we leverage machine learning for predictive modelling, self-learning algorithmsand natural language processing to provide relevant insights on business intelligence and data analytics through supervised and unsupervised learning, deep learning architectures, and creating, developing, and training deep neural networks. We utilise machine learning to rapidly and automatically produce models that can analyse more complex data and deliver faster, more accurate results – even on a very large scale. We offer relevant machine learning technology expertise in Python NLTK, TensorFlow, and PyTorch. Our machine learning implementations are fast, API-based, and low in complexity.
With our machine learning expertise, we enable mid-market and high-growth enterprise to develop integrated solutions on a limited budget. Enterprises can utilise these advantages to make smart use of machine learning technology to:
Enable predictive modelling
Deploy self-learning algorithms
RunNatural Language Processing
Deploy deep learning architecture for creating, developing and training deep neural networks
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