Cloud AI-ML services - AWS & Azure

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More than 90%

of deep learning applications use cloud machine learning services to enable them.

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49% of cloud ML service users

reported "highly" improved process efficiency as compared to 42% of all respondents.

facts
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45% reported

that using cloud AI services had "highly" enhanced decision-making in comparison to 39% of all respondents.

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39% said

that using cloud AI services gave them a "substantial" competitive edge as compared to 26% of all respondents.

Issues with Data

Data, which is a critical component of any organisation, is frequently referred to as the new age gold. Organizations struggle to allocate the necessary storage and compute demands in their on-premise setup for developing AI-ML Infrastructure due to the soaring availability of data across multiple means. Better alternatives from the cloud became popular because this is a difficult and expensive procedure to support.

With the needed scale and availability that have never been realised before, the cloud technology offers immediately available and customised machine learning solutions at a fraction of the cost. The hardware is designed specifically for machine learning applications and includes strong GPUs that greatly speed up the processing of deep learning models.

Where do we often use cloud AI and ML services?

Manufacturing

With the use of real-time data analytics, machine learning, and artificial intelligence, processes can be automated, analyses can be optimised in real-time, and plant productivity can be increased.

Logistics

Faster and more cost-effective routes, easy item discovery in warehouses, and IoT integration for thorough scanning and information display are all made possible by AI analytics solutions.

Finance

With the use of DA and AI/ML solutions, better management, budget allocation based on suggestions, anomaly detection, and thorough reporting may be achieved.

Automated Business Process Continuity

Obtain a thorough 360-degree perspective of all operations, speed up GTM with higher revenues thanks to reliable data and the customised DA, AI, and ML solutions we offer.

Virtual Engagements

Chatbots and virtual assistants powered by cloud AI services to improve customer satisfaction and experience.

Business Intelligence

To reduce business risk, plan your tasks carefully using strategic decision-making, improved strategy creation, supply and demand forecasting, and financial-related insights. A lot of retail, eCommerce, D2C, and B2C systems employ this technology.

Forecasting

Find fresh business trends, among other things. Examples include stock analysis, forex forecasts, and edtech analytics.