cloud AI & ML service provider cover image

Cloud AI ML Solutions

Expert Artificial Intelligence and Machine Learning Solutions enabled with Cloud Services for Businesses

Fact

  • More than 90% of deep learning projects are enabled with Cloud Machine Learning services.
  • 49% of adopters of cloud ML solutions said they saw “highly” improved process efficiencies (versus 42% of total respondents).
  • 45% saw “highly” improved decision-making with Cloud AI Solutions (versus 39% of total respondents).
  • 39% experienced a “significant” competitive advantage with Cloud Artificial Intelligence services (versus 26% of total respondents).

The Problem with Data

Data is often referred to as the new age gold, which is a crucial aspect of any business. With the soaring availability of data through various mediums, organizations struggle to allocate required storage and computing needs in their on-premise setup for establishing AI-ML Infrastructure. Since this itself is a complex and expensive process to accommodate, better alternatives from the cloud became popular.

The Cloud technology enables readily available and custom machine learning solutions with the desired scalability and availability that have been realized never before, at a fraction of the cost. The hardware is custom-made and specialized for ML applications consisting of powerful GPUs that significantly reduce processing time on deep learning models.

Where do we usually leverage Cloud AI/ ML services?

Leveraging AWS cloud AI/ML services in Manufacturing industry

Manufacturing 

Automated processes, analysis, and optimized real-time modifications and enhanced plant productivity with the power of real-time data analytics, Machine Learning, and Artificial Intelligence.

AI analytics solutions in Logistics & Supply Chain sector

Logistics & Supply Chain

AI Analytics solutions help enable faster and more cost-efficient routes, quickly finding items in warehouses, and incorporating IoT for detailed scans and information display.

Leveraging AI/ML services in Finance sector  & business intelligence

Finance

Better planning, management, suggestion-driven budget allocation, anomaly detection, and detailed reporting with the help of DA & AI/ML Solutions.

Leveraging AI/ML cloud services for Automated Business Process Continuity

Automated Business Process Continuity

Have a detailed 360-degree view of all processes, enable faster GTM with better profits assisted by accurate data, and the insights you get from our DA & AI/ ML Solutions with customizations.

Cloud AI services-based virtual assistants and chatbots

Virtual engagements

Cloud AI services-based virtual assistants and chatbots to aid customer experience and increase customer satisfaction.

Business Intelligence

Business Intelligence

Plan your tasks wisely with strategic decision-making, create better strategy, supply, and demand prediction, and financial-related insights to minimize business risk. Mostly used for retail, eCommerce, D2C, and B2C systems.

Leveraging AI services for forecasting

Forecasting

Identify new industry trends and more. Examples include EdTech analytics, stocks, forex predictions, etc.

By submitting this form you agree to our Terms & Conditions. See our  Privacy Policy and Terms of Service to learn about how your information will be processed.

The Solution

Machine learning is the science of adding awareness to AI and leveraging the system to aid in areas where manual efforts can be minimized or completely eliminated. With the help of ML, Artificial Intelligence can thrive in a business environment by analyzing data and providing useful insights which can be converted into critical business decisions. Read more about the role of AI & ML in the cloud environment.

These days Artificial Intelligence is widely used in,

Usage of Artificial Intelligence to Process & QC Control

Process & QC Control

Analyze images and videos for data extraction, automated inspection for detecting defects and irregularities during manufacturing, find bottlenecks, quality and safety issues, automated QC, etc.

Usage of Artificial intelligence in Automated Text Extraction & Analysis

Automated Text Extraction & Analysis

Pull valuable information from a myriad of sources in seconds, acquire insights using NLP, ensure accuracy and comply with laws.

Conversational AI 

Conversational AI 

Automated conversation channels for better information exchange, enhanced applications using automated speech recognition, and life-like speech output.

Usage of Artificial intelligence Improved customer experience

Improved customer experience

Quickly find accurate and intended information, personalize online and offline experiences, and transliterate for globalized reach.

Usage of Artificial intelligence for Business metrics

Business metrics

Forecasts and accurate end-to-end business prediction, detection of online frauds, finding data anomalies for business decisions.

Usage of Artificial Intelligence for Modern Code Development

Modern Code Development

Improve application availability with better performance and reduced downtimes for better customer experience, automated code reviews for patching vulnerabilities and high-quality code, and eliminate inefficient code to resolve performance issues and running costs through DevOps.

Usage of Artificial intelligence in Infrastructure and available frameworks

Infrastructure and available frameworks

Scalable, cost-effective, and high-performance infrastructure, availability of optimized and tested frameworks for better performance and reliability.

Artificial Intelligence for upskilling team

Upskilling team

Upskill your team with hands-on learning, build POC for successful business mapping, and engage Rapyder for implementation and support.

What Rapyder offers on AI & ML adoption

Our workforce of certified AI/ML engineers has now empowered businesses with insights and has become much easier and quicker.

With a combo of Data Analytics, Cloud Artificial intelligence, and Machine Learning solutions, organizations across various industries now leverage faster insights through meaningful data and derived decisions to catapult and position themselves at a vantage point.

We enable organizations to empower themselves with agile development, advanced analytics, predictions, decision-making, process automation, and data leveraging.

The Customer Benefits of Artificial Intelligence and Machine Learning

  • Cloud’s pay-as-you-go model has proven to be cost-effective for AI and ML workloads compared to on-premise hardware on most occasions.
  • Cloud helps to experiment with Machine learning capabilities and scale as per project needs.
  • With readily available AI ML solutions cloud helps anyone to derive insights from data without advanced knowledge in these fields. AWS, Microsoft Azure, and Google Cloud platforms offer numerous services that don’t require deep knowledge in DA/ AI/ ML or a team of data scientists.
  • More than 90% of AI ML and Data Analytics workloads are already on the cloud, which speaks to the credibility of the cloud as a proven and tested technology.
  • Better decision-making with proven and tested frameworks
  • Improved customer interaction, experience, and satisfaction.

Analyze images and videos for data extraction, automated inspection for detecting defects and irregularities during manufacturing, find bottlenecks, quality and safety issues, automated QC, etc.

How does it work?

Cloud Artificial Intelligence & Machine learning infrastructure

Rapyder enables and readies your organization by helping you establish an automated best-in-industry AI & ML infrastructure with the latest the cloud has to offer. Once the requirement is discussed and a POC is approved, a large-scale project can be established. With the final output,

  • Business Analysts can create ML-assisted predictions with visual interfaces
  • Data Scientists are enabled to prepare data, build, train and deploy accurate ML Models
  • MLOps Engineers can deploy and manage established ML models at a large scale

What more with Cloud AI ML?

The benefits do not end here.

conversational cloud AI interfaces for customer satisfaction
Conversational Cloud AI interfaces

Can increase customer satisfaction, enhance customer experience through intelligent decision-making, and reduce operational costs through virtual assistants and chatbots.

Artificial intelligence for Tailor personalized recommendations
Tailor personalized recommendations

Pull valuable information from a myriad of sources in seconds, acquire insights using NLP, ensure accuracy and comply with laws.

Artificial intelligence for Automated conversation channels
Automated data extraction

Automated conversation channels for better information exchange, enhanced applications using automated speech recognition, and life-like speech output.

Machine learning enablement for better media management
Manage media better

Enable ML to media contents, webpages, audio, APIs, and others for better utilization, faster search, personalization, localization, compliance checking, monetization, and more.

Artificial Intelligence for better business outcomes
Business Outcomes

Cloud AI services can accurately forecast funnels, financial, consumer demand, and root cause analysis to identify anomalies and reasoning.

Artificial Intelligence for Fraud and Threat prevention
Fraud and Threat prevention

Automated conversation channels for better information exchange, enhanced applications using automated speech recognition, and life-like speech output.

Enabling intelligent and innovative developer operations.
Next-Gen advanced DevOps

Enabling intelligent and innovative developer operations.

Supercharged MLDev process with cost reduction
Supercharged MLDev process

Integrating innovation at any scale with cost reduction becomes a reality.

47 of our customers awarded us an aggregate score of 4.9 in cloud consulting services out of a 0-5 scale, where our expertise, helpfulness, continuous support, and customer satisfaction were evaluated.