Let algorithms perform the heavy data lifting to uncover hidden patterns in your business performance. Employ a data-driven mindset amplified with ready-to-use insights and forecasting abilities of smart solutions.
Build secure, powerful, and intelligent workflows to analyze trends, innovate faster, prevent fraud, and optimize resources. Our intelligent solutions add more context to your decisions and help you adjust to evolving landscapes with the least disruption.
Leverage a powerful duo of data science and artificial intelligence to forecast business outcomes and make risk-free transitions. Let our data scientists promote your company’s growth with custom forecasting solutions.
Give more traction to your products and services with our AWS machine learning expertise. We also help you perfect your marketing and sales efforts by building contextualized recommender systems with ML-powered personalization.
Give your digital assets a voice and let them channel your business message with no additional effort. We enhance your applications with speech recognition to help you scale your services and cater to every customer interaction.
Make sense of your voice-based channels, automate customer support, and reduce costs of client management with our custom AI solutions. Improve business outcomes and pull new meanings from all touchpoints – be it a client call or a clinical conversation.
Pull more insights from your structured and unstructured data, while lowering costs and efforts. Our AWS engineers build robust computer vision and image analysis tools with ample artificial intelligence capabilities.
Catalog assets, automate inspection, streamline monitoring, and make sense of your media. Make every bit of business data work to your advantage with our video and image analytics services.
The client is an FMCG company looking to build an intelligent text mining solution based on natural language processing. The expected result of the project was enhanced customer experience and lifetime value.
The InData Labs team delivered a text mining solution for email and audio analysis based on the AWS infrastructure. The solution helps the client track customer sentiment and adjust the company’s offerings accordingly.
Our client is an influencer marketing platform for brands and influencers. They needed to amplify their platform with broader analytics capabilities with a real-time social media analytics engine.
Our team has built and delivered a custom data analytics solution for both user groups. As a result, brands and influencers have timely access to critical marketing performance data with granular user segmentation.
A leading cloud-based Remote Simultaneous Interpretation turned to InData Labs to build a smart term extraction solution. The solution was to extract industry-specific terminology and event-related data from various types of documents for interpreters.
Our team of engineers built and delivered a full-fledged term extraction solution with data scraping to facilitate fast and easy multi-document upload and processing.
Amazon Machine Learning is a suite of AI services offered by Amazon Web Services. This set of tools helps companies jump-start their ML adoption and access baked-in features for predictive analytics, image recognition, and other intelligent capabilities.
In terms of machine intelligence, GCP and AWS offer similar services. AWS provides a full-fledged artificial intelligence platform for building traditional ML implementations, NLP and speech recognition tools, and object/face recognition systems.
The GCP suite includes a Google ML engine for complicated business tasks, Google Cloud AutoML for faster adoption, and TensorFlow for deep learning applications. The GCP also offers Vertex AI for speech processing, image analysis, and computer vision.
Therefore, your choice should depend on your unique project needs and existing tech ecosystem.
Python is a leading programming language for machine learning. The AWS ecosystem also supports Python and uses it natively in Amazon SageMaker notebook kernels.
The AWS ecosystem offers a broad spectrum of ML services and self-service capabilities, including real-time data analysis, computer vision, image recognition, speech processing, and others. Developers also rely on AWS for ready-made fraud detection tools, recommendation engines, predictive analysis, and a whole lot of other, smart applications.