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 cloud ML solutions adopters 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, 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 is a complex and expensive process to accommodate, better alternatives from the cloud became popular.
Cloud technology enables readily available and custom machine learning solutions with the desired scalability and availability that have never been realized at a fraction of the cost. The hardware is custom-made and specialized for ML applications with powerful GPUs, significantly reducing processing time on deep learning models.
Where do we usually leverage Cloud AI/ ML services?
Manufacturing
Automated processes, analysis, optimized real-time modifications, and enhanced plant productivity with 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 warehouse items, 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, and 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 eliminated. With the help of ML, Artificial Intelligence can thrive in a business environment by analyzing data and providing valuable 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,
Process & QC Control
Analyze images and videos for data extraction, automated inspection to detect defects and irregularities during manufacturing, find bottlenecks, quality and safety issues, and automated QC.
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 automatic speech recognition, and life-like speech output.
Improved customer experience
Quickly find accurate and intended information, personalize online and offline experiences, and transliterate for globalized reach.
Business metrics
Forecasts and accurate end-to-end business prediction, detection of online fraud, and 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, high-performance infrastructure, optimized, and tested frameworks are available 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 certified AI/ML engineering workforce has 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 experiment with Machine learning capabilities and scale 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 to detect defects and irregularities during manufacturing, find bottlenecks, quality and safety issues, and automated QC.
How does it work?
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. A large-scale project can be established once the requirement is discussed and a POC is approved. 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
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 automatic 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 and 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.