OUR FOCUS

Cloud Analytics for Data-Driven Business

Cloudwick is an AWS certified Advanced Consulting Partner that specializes in building native data lakes that power faster, cheaper and more agile cloud analytics for IT, business users and data scientists.

Whether you need to migrate your analytics to the cloud, add decision automation to your business intelligence, improve customer experience with machine learning or want to build or buy a data lake Cloudwick has a complete portfolio of services and solutions.

Consulting Partner
Amazon Artificial Intelligence Services

Amazon Artificial Intelligence Services

We solve decision automation for analyst looking to add predictive AI to their business intelligence, for developers looking to add unstructured data to their applications and for data scientist looking to simplify machine learning and artificial intelligence with a production-ready data lake-as-a-service.

The Need

Add predictive decision automation to your unstructured, structured and semi-structured data for new competitive insight that drives competitive advantages.

The Solution

The Challenge

You know what you need to do but you don’t have the resources, platforms or expertise needed to get it done.

The Solution

Cloudwick works with IT, line of business and data scientist to develop, tune and deploy production-ready
AI & ML decision automation for modern business intelligence and intelligent applications
using Amazon SageMaker, Comprehend, Textract, Forecast & more.

Computer Vision
Computer Vision
Natural Language Processing
Natural Language Processing
Speech Recognition
Speech Recognition
Image
Image
Text
Text
Structured
Structured
Audio
Audio
Video
Video
Cloudwick AI Jump Start For
Document Management
Document Jump Start typically takes 1 week and involves the following deliverables in a cloud native, scalable and secure manner.
  • Ingest real time or schedule a batch of up to a total of 1 million pages in several documents from 1 source into multiple datasets.
  • Datasets come with user level and group level ownership and access controls.
  • Extract text from scanned, hand written or typed documents like resumes, surveys, legal documents, design documents including information in tables and form fields.
  • Select all or some information to be exported to Search Index, Key value storage or Relational database.
  • Build a document management system which enables search on virtually any form of document instantly right at the ingestion and search like normal text.
Cloudwick AI Jump Start For
Time Series Forecasting
Time Series Forecasting Jump Start typically takes 2 weeks and involves the following deliverables in a cloud native, scalable and secure manner.
  • Ingest real time or schedule a batch of up to 100 GB of historical data from 1 data source Box/Database/ S3 (any file types) for an AutoML predictor to make predictions for up to 2M future data points.
  • Datasets come with user level and group level ownership and access controls.
  • Any ETL , connection or scheduled scripts required are included in this jump start.
  • Train fully managed deep learning models without ML knowledge or any code on any form of time series task like product demand, workforce demand, financial metrics or inventory planning.
  • Incorporate promotions database, benchmark across multiple algorithms and visualize forecasts.
Cloudwick AI Jump Start For
Image / Video Analytics
Image / Video Jump Start typically takes 2 weeks and involves the following deliverables in a cloud native, scalable and secure manner.
  • Ingest real time or schedule a batch of up to 50,000 images or 500 hours of video from 1 source into multiple datasets.
  • Datasets come with user level and group level ownership and access controls.
  • Extract precise meta data related to thousands objects, places, action, explicit content, similar objects / faces, printed and handwritten text.
  • Build an indexed and organized smart media archive which enables search on Images and Video as if searching through text documents.
  • Platform to create intelligent apps with triggers based on extracted metadata with contextual information, recommendations and content moderation.
  • Jump Start includes one detailed real-time analytics dashboard.
Cloudwick AI Jump Start For
Insights from Raw Text
Text / NLP Jump Start typically takes 2 weeks and involves the following deliverables in a cloud native, scalable and secure manner.
  • Ingest real time or schedule a batch of up to 20 GB of text data from 1 source like Box / Database / S3 (any file types), for one proof of concept on general text or Medical text data.
  • Extract potential hidden treasures of metadata from your unstructured text sources such as surveys, reviews, social media, support tickets, receipts, invoices etc.
  • Build an indexed and organized search platform for common entities like places, people, brands, events, company names and sentiment on top of raw text.
  • For medical data auto extract and index information such as medical conditions, medications, dosages, strengths and frequencies.
Cloudwick AI Jump Start For
Audio Analytics
Audio Jump Start typically takes 2-3 weeks and involves the following deliverables in a cloud native, scalable and secure manner.
  • Ingest real time or schedule a batch of up to 1000 hours of audio files or 500 hours of video files from 1 source into multiple datasets. This jumpstart includes translation and text analytics.
  • Datasets come with user level and group level ownership and access controls.
  • Extract text files for each audio file using deep learning based automatic speech recognition including translation from over 100 languages.
  • Tag audio files with key phrases, entities, product and organization names and search audio like searching over text.
  • Digitize your Enterprise’s customer service analytics and understand undocumented customer feedback.
Cloudwick AI Jump Start For
Recommendation Engine
Recommendation Jump Start typically takes 3-4 weeks and involves the following deliverables in a cloud native, scalable and secure manner.
  • Ingest real time or schedule a batch of up to 50 GB of user interaction data from 1 data source – Box / Database / S3 (any file types) into multiple datasets and train a maximum of 30 different versions of the recommender within 1 campaign.
  • Datasets come with user level and group level ownership and access controls.
  • ETL scripts and scheduling required for data preparation from different tables would be built into the Recommendation workflow.
  • Deal with sparse data at the long tail of the catalog. AutoML selects from up to 6 algorithms and auto hyper parameters tuning to get state of the art personalization.

Simplify Your AWS AI with Amorphic Data-Lake-as-a-Service

Amorphic is an AWS production-ready data-lake-as a-service engineered to support AWS SageMaker Artificial Intelligence. Amorphic reduces POC to production by months and is free for first 60 days.

The AWS Managed Data Lake Built to Simplify All Analytics
AWS Data Lake Consulting and Engineering Services

AWS SageMaker AI Consulting
And Data Lake Analytic Services

Data-driven organizations turn to Cloudwick for certified Amazon SageMaker artificial intelligence development, tuning and production deployment consulting and engineering services.

Ai
Every Business Needs Cloud Analytics

Every Business Needs Cloud Analytics

The key to competitive advantage is cloud analytics. Cloudwick is a leader in unifying data pipelines and analytic work flows using AWS as the core platform to innovate beyond the possibilities of yesterdays data center technologies.

Amorphic and Cloudwick provide the first PaaS for unifying all data (structured, semi-structured and unstructured) and AWS analytics for...
Business Intelligence
Machine Learning
Artificial Intelligence
Advanced Analytics
Making it easier for analyst, business users, developers and data scientist to securely ingest, catalog, transform, search, share and analyze any data using these AWS BI, ML, AI and AA for self-service.
Aws
Redshift
Aws
Athena
Aws
EMR
Aws
Elastic Search
Aws
SageMaker
Aws
Comprehend
Aws
Textract
Aws
Recognition
Aws
Forecast
Aws
Transcribe
Aws
Translate
Aws
Macie
Aws
Dynamo DB
Aws
Macie
Aws
Glue
Aws
Quicksight
Tableau
Looker
Qlikq
jupyter

YOUR CLOUDWICK & AMORPHIC

Competitive AWS Analytics Advantage

Serverless Performance & Cost

Serverless is the way to go when it comes to Data Lake analytics as you only pay for your consumption and it provides for infinite Scalability and high performance at lowest cloud infrastructure cost.

Amazon Native Data Lake

Your cloud data lake should be 100% Amazon native so that no integration or engineering is required by you to use Amazon Redshift, Athena, Dynamo DB, Elastic Search, Glue, SageMaker, Comprehend, QuickSight or any other service.

Self-Service Data Lake Analytics

Amorphic removes the complexity for IT, business and data scientist by providing a fully managed data lake-as-a-service that is fully Amazon native with self-service user simplicity for data governance, security, sharing, search, RBAC and more.

AWS Secure & Future Proof

Amorphic is natively designed and engineered exclusively for AWS and its data lake fabric is designed for scalability, security with advanced API and lambda architecture.

Speed to Analytic Advantage

Amorphic self-service makes it possible for analyst, business users, data engineers, developers and data scientist to search, share and analyze their data easily and quickly.

Extensibility & Time-to-Analytics

Cloudwick offers Amorphic, the first Data-Lake-as-a-Service that can be deployed as a managed SaaS or Managed subscription to your AWS account and is production-ready the same day.

Data Lake-as-a-Service

Talk To Our Experts

Cloudwick gives your business the opportunity to grow quickly, efficiently and continuously, using data that you already have.

To find out how your business could use data, send a message to one of our experts. We’ll tell what’s possible, with no hard sell.

A quick chat with one of our experts will help you understand how your business can do great things with data, Amorphic and AWS analytics .