Digital experience, analytics, and cloud are enabling technologies that have proven their value already to many digital companies across the world.

They are the basis of numerous successful corporate strategies and new business models. This decade’s disruptors are a digital reality, cognitive technologies, and blockchain. Adoption is on the uptake, with business cases multiplying across industries.

Analytics includes foundational capabilities and tools that generate powerful insights. Data management, data governance, and supporting architecture are age old problems that not only are critical building blocks for AI programs but are tactical concerns as organizations work in a dynamic and complex regulatory environment with mandates on data residency, privacy, and usage.

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We at Blue Data Consulting are a team of experts, have been helping organizations in building AI & Data products. Our consultants have experience of 10+ years while working with multiple organizations and building the new age AI & analytics products.

Cognitive Technologies

Cognitive technologies, such as machine learning, neural networks, robotic process automation, bots, natural language processing, neural nets, and the broader domain of AI, have the potential to transform nearly every industry.

These technologies personalize and contextualize the human-technology interaction, allowing businesses to provide tailored language- and image-based information and services, with minimal or no human involvement.

Demand for cognitive technologies is skyrocketing—IDC forecasts spending to reach US$77.6 billion in 2022.

We at Blue Data Consulting are a team of experts, have been helping organizations in building AI & Data products. Our consultants have experience of 10+ years while working with multiple organizations and building the new age AI & analytics products.

Computer Vision

Computer vision is a field where we deal with data in the form of images and videos. The common applications of computer vision include image classification, object localization, object detection, tag generation from images, semantic and instance segmentation. 

We at Blue Data Consulting have the right set of experts to deliver computer vision-based applications and products.

Following are the examples of some of computer vision applications – 

Natural Language Processing

Natural Language Processing is a field of AI which deals with data in the form of text and speech. Commonly used NLP applications are sentiment analysis, social media analysis, chatbots, conversational engines, operational bots, topic modeling, content filtering, language modeling, language translation, speech processing, speech to text, and text to speech conversion.

We offer all of these functionalities as solutions to our customers, integrate these functionalities with client products.