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Cloud AI-ML SERVICES- AWS & Azure

Fact:

  • More than 90% of deep learning projects are enabled with Cloud Machine Learning services.
  • 49% of adopters of cloud ML services said they saw “highly” improved process efficiencies (versus 42% of total respondents).
  • 45% saw “highly” improved decision-making with Cloud AI Services (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 to 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?

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.

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.

Finance

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

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.

Virtual engagements

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

Business Intelligence

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

Forecasting

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

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.

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These days AI is widely used in,

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.

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 

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

Improved customer experience

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

Business metrics

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

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.

Infrastructure and available frameworks

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

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 services, 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 with 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 solutions 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?

Enabling Cloud AI-ML infrastructure for Artificial Intelligence and Machine learning Implementation

AI & ML infrastructure with the latest the cloud has to offer

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

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

Tailor personalized recommendations

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

Automated data extraction

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

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.

Business Outcomes

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

Fraud and Threat prevention

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

Next-Gen advanced DevOps

Enabling intelligent and innovative developer operations.

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.