AWS Data Lake Analytics

Advanced Consulting Partner

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.

WHAT WE DO

Build or Buy Your AWS Data Lake

Cloudwick is a leading AWS certified data lake and advanced analytics partner. We provide build and buy data lake services and solutions that solve an organizations need for production ready data lake powered analytics.

The Need

A production-ready AWS data lake for new AI/ML/BI decision automation analytics.

The Challenge

Your organization doesn’t have the resources, time or money to build a production-ready data lake.

The Solution

Cloudwick offers the data-driven organization with production-ready
build or buy AWS data lakes for predictive ML/AI decision automation
and for modernizing data warehousing and BI.

Serverless Analytics

Saves You Money

Self-Service DLaaS

Simplifies AWS Analytics

All Data

Analyze Everything

One Data Catalog

To Manage All Data

Fast Data Search

For IT & Business Users

Secure Data Sharing

Internal or External

User & Data Security

RBAC, GDPR & More

All Analytics

BI, ML, AI & AA

Cloudwick Data Lake Jump Start For

Amazon SageMaker ML & AI Decision Automation

A 60 day Free Amorphic Data Lake-as-a-Service Trial

  • No IT Required. No software installation, performance tuning, software upgrades, AWS infrastructure monitoring or management required.
  • Amorphic is a turnkey data lake-as-a-service designed to make it easy for IT, business and data scientist to use machine learning and artificial intelligence to gain competitive advantage from cloud analytics.
  • Amorphic is built from the ground up for native cloud machine learning and artificial intelligence with native Amazon SageMaker, Comprehend, TextTract, Rekognition, Forecast, Translate, Transcribe and more.
  • Start your Free 60 Day Trial and accelerate your time-to-production for Amazon powered machine learning and AI decision automation.

Cloudwick Data Lake Jump Start For

Amazon Data Warehousing & Business Intelligence

A 60 day Free Amorphic Data Lake-as-a-Service Trial

  • No IT Required. No software installation, performance tuning, software upgrades, AWS infrastructure monitoring or management required.
  • Reduce the cost of cloud data warehousing while increasing capabilities with machine learning and artificial intelligence powered by Amorphic and Amazon Redshift, Athena, Glue, Dynamo DB, SageMaker, Glue and more.
  • With Amorphic you have native Amazon data warehousing, business intelligence, machine learning and artificial intelligence all integrated together under a single pane of glass with intuitive self-service data lake analytics to make it easier for analyst, business users and data scientist to do more with data and cloud analytics.

The AWS Managed Data Lake
Built to Simplify All Analytics

The first AWS data lake to simplify data warehouse, big data, machine learning and artificial intelligence analytics for all users, teams and organizations.

AWS Data Lake Consulting
and Engineering Services

Data-driven organizations turn to Cloudwick for AWS Data lake solution architecture, data engineering, devops and data science consulting and long term staffing for critical AWS Data Lake experts and teams.

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 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
Natural Language Processing
Speech Recognition
Image
Text
Structured
Audio
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.

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.

Amazon Machine Learning Services

Cloudwick is an AWS Advanced Consulting machine learning competency partner. We specialize in simplifying machine learning for analyst to use for predictive business intelligence, developers to use for building intelligent applications, for line of business to enhance, extend and develop better customer and product insights and we help data scientist do more faster and cheaper with production-ready data lakes.

The Need

Add the power of Amazon machine learning to your data, applications, reports and dashboards for decision automation business results.

The Challenge

You have your Amazon SageMaker ML use case identified and need help developing, tuning and deploying it to a production-ready cloud data lake.

The Solution

Cloudwick’s Amazon machine learning certified consultants work with
you to develop, tune and deploy your Amazon SageMaker ML
models using trusted frameworks like this:

Q3 Amazon ML Jump Start Offer

Add SageMaker ML into your Data Pipelines

SageMaker jumpstart typically takes 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 10 GB of any type of data from 1 data source into multiple datasets.
  • Datasets come with user level and group level ownership and access controls.
  • Amorphic Jump Start to build, train, tune and deploy using one AWS built-in Algorithm.
  • Amorphic Jump Start to include these three activities:
Build
  • Define business problem and identify data sources
  • Git collaborated hosted notebook instances for development.
  • Data cleaning, ETL, algorithm selection.
Train
  • One click managed, distributed and pay per sec training.
  • Choose from 17 state of the art algorithms.
  • Managed tuning and optimization jobs.
  • Train once, run anywhere.
Integrate
  • Get predictions and interpret results on new incoming data.
  • Automate data cleaning, ETL and interpretation business logic into the ML workflow.
  • Schedule or trigger on-demand prediction jobs.
  • Jumpstart includes an automated pipeline (below) which will perform predictions on real time / batch ingested data and transform into a target dataset.

Common Industry use-cases:

Fraud Detection, Churn Prediction, Preventive Maintenance,  Disease Onset, Image Classification, Video Analysis, Content creation, Contextual Chat-Bots, Auto Tagging, Supply Chain Automation, Personalized Pricing, Outage Prevention, Route Optimization, etc

Experience ML-as-a-Service for IT, Business and Data Scientist

Amorphic is an AWS production ready data-lake-as a-service engineered for AWS SageMaker machine learning. Self-service user simplicity makes it ideal for analysts, developers, line of business and data scientists.

We Simplify Amazon Machine Learning for IT, Business & Data Scientist

Amazon SageMaker Machine Learning isn’t just for data scientist. Cloudwick makes decision automation for analysts, developers, line of business users, data engineers and even data scientists easier and faster to build, tune and deploy with Amorphic.

Cloudwick’s Amorphic data lake-as-a-service and Amazon SageMaker make it easier, faster and cheaper for IT, business and data scientists to build, tune, deploy and manage production machine learning models.

Data Lake Powered Data Warehousing

Cloudwick is an AWS Advanced Consulting data and analytic competency partner. We specialize in modernizing Amazon data warehousing by using machine learning to reduce the cost of ETL, add predictive forecasting to business intelligence and make it possible for all cloud data to be easily governed, searched, accessed, shared and analyzed by IT, business and data scientists.

The Need

Reduce the cost of cloud data warehousing, add search, sharing and ML predictive forecasting to business intelligence.

The Challenge

Today’s cloud data warehouses are expensive and don’t support artificial intelligence for predictive business intelligence

The Solution

Cloudwick specializes in enhancing, extending and adding new capabilities like predictive
machine learning forecasting to cloud business intelligence reporting
and offloading expensive ETL jobs from the data warehouse to a data lake for
cost and performance optimization.

Q3 AWS BI Jump Start Offer

Image / Video Analytics

Image / Video Jumpstart typically takes 2 weeks and involves the following deliverables in a cloud native, scalable and secure manner.

  • Ingest real +me 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.
  • Jumpstart includes one detailed real-time analytics dashboard.

Q3 AWS BI Jump Start Offer

Insights from Raw Text

Text / NLP Jumpstart typically takes 2 weeks and involves the following deliverables in a cloud native, scalable and secure manner.

  • Ingest real +me 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.

Add Amazon SageMaker Predictive ML Forecasting to Your Data Warehousing & BI

Cloudwick works with data and analytic organizations to add predictive forecasting machine learning models to traditional business intelligence to improve business insights, reports and dashboards. Additionally, we work with data-driven companies to modernize their cloud analytics around native and serverless data-lakes.

Decision Automation Consulting, Services & Solutions for Data Warehousing & BI

Data-driven organizations find competitive advantage from cloud analytics. Cloudwick consulting helps IT, business and data scientist do more with their data warehousing and business intelligence by enhancing and extending capabilities using data lake machine learning.

Hadoop On-Premise Migration to AWS

Cloudwick has 10 years of Global 1000 Hadoop operations expertise and has migrated more than 30 Hadoop clusters to AWS. We provide consulting and engineering services and solutions to migrate petabyte scale production clusters and workloads using our own migration frameworks and automation.

The Need

To assess, plan and migrate production Hadoop on-premise clusters to AWS

The Challenge

To meet business requirements, reduce costs and increase analytic capabilities.

The Solution

Cloudwick specializes in migrating production Hadoop clusters and workloads to AWS by
1) Lifting & Shifting As-Is, 2) Lifting & Shifting to EMR and 3) Refactoring to AWS Native

Cloudera Migration

A Fortune 150 multinational corporation that designs and markets footwear, apparel, equipment and accessories needed to migrate its on-premises Hadoop workload to AWS and required Spark for predictive analytics. Cloudwick, a certified partner for both AWS and Cloudera, conducted the migration from the data center to AWS, resulting in higher performance for the company’s e-commerce site and modern BI analytics. The company can now support new real-time predictive analytics and deliver improved inventory management, customer experience, marketing effectiveness and more.

MPP Migration

A leading multi-billion dollar healthcare solutions company with one of the leading cloud based electronic healthcare records platforms needed help migrating off of Netezza and Informatica on to Amazon Redshift and Glue. Cloudwick presented to the customer a three-step plan starting with a workshop to identify and document the business and technology requirements. The successful POC covered three months and was followed by a 6 months cloud native refactoring using Amazon Redshift and Glue. The company is now able to unify it data across Amazon BI, AA, ML and AI services and develop new services more quickly.

Hadoop On-premise Migration
to AWS Professional Services

Data-driven organizations turn to Cloudwick for cloud data lake solution architects, data engineering, devops and data science consulting and long term staffing for on-premise Hadoop migrations to AWS.

Data Lake

Build or Buy Your AWS Data Lake

Cloudwick is a leading AWS certified data lake and advanced analytics partner. We provide build and buy data lake services and solutions that solve an organizations need for production ready data lake powered analytics.

The Need

A production-ready AWS data lake for new AI/ML/BI decision automation analytics.

The Challenge

Your organization doesn’t have the resources, time or money to build a production-ready data lake.

The Solution

Cloudwick offers the data-driven organization with production-ready
build or buy AWS data lakes for predictive ML/AI decision automation
and for modernizing data warehousing and BI.

Serverless Analytics

Saves You Money

Self-Service DLaaS

Simplifies AWS Analytics

All Data

Analyze Everything

One Data Catalog

To Manage All Data

Fast Data Search

For IT & Business Users

Secure Data Sharing

Internal or External

User & Data Security

RBAC, GDPR & More

All Analytics

BI, ML, AI & AA

Cloudwick Data Lake Jump Start For

Amazon SageMaker ML & AI Decision Automation

A 60 day Free Amorphic Data Lake-as-a-Service Trial

  • No IT Required. No software installation, performance tuning, software upgrades, AWS infrastructure monitoring or management required.
  • Amorphic is a turnkey data lake-as-a-service designed to make it easy for IT, business and data scientist to use machine learning and artificial intelligence to gain competitive advantage from cloud analytics.
  • Amorphic is built from the ground up for native cloud machine learning and artificial intelligence with native Amazon SageMaker, Comprehend, TextTract, Rekognition, Forecast, Translate, Transcribe and more.
  • Start your Free 60 Day Trial and accelerate your time-to-production for Amazon powered machine learning and AI decision automation.

Cloudwick Data Lake Jump Start For

Amazon Data Warehousing & Business Intelligence

A 60 day Free Amorphic Data Lake-as-a-Service Trial

  • No IT Required. No software installation, performance tuning, software upgrades, AWS infrastructure monitoring or management required.
  • Reduce the cost of cloud data warehousing while increasing capabilities with machine learning and artificial intelligence powered by Amorphic and Amazon Redshift, Athena, Glue, Dynamo DB, SageMaker, Glue and more.
  • With Amorphic you have native Amazon data warehousing, business intelligence, machine learning and artificial intelligence all integrated together under a single pane of glass with intuitive self-service data lake analytics to make it easier for analyst, business users and data scientist to do more with data and cloud analytics.

The AWS Managed Data Lake
Built to Simplify All Analytics

The first AWS data lake to simplify data warehouse, big data, machine learning and artificial intelligence analytics for all users, teams and organizations.

AWS Data Lake Consulting
and Engineering Services

Data-driven organizations turn to Cloudwick for AWS Data lake solution architecture, data engineering, devops and data science consulting and long term staffing for critical AWS Data Lake experts and teams.

Artificial Intelligence

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 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
Natural Language Processing
Speech Recognition
Image
Text
Structured
Audio
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.

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.

Machine Learning

Amazon Machine Learning Services

Cloudwick is an AWS Advanced Consulting machine learning competency partner. We specialize in simplifying machine learning for analyst to use for predictive business intelligence, developers to use for building intelligent applications, for line of business to enhance, extend and develop better customer and product insights and we help data scientist do more faster and cheaper with production-ready data lakes.

The Need

Add the power of Amazon machine learning to your data, applications, reports and dashboards for decision automation business results.

The Challenge

You have your Amazon SageMaker ML use case identified and need help developing, tuning and deploying it to a production-ready cloud data lake.

The Solution

Cloudwick’s Amazon machine learning certified consultants work with
you to develop, tune and deploy your Amazon SageMaker ML
models using trusted frameworks like this:

Q3 Amazon ML Jump Start Offer

Add SageMaker ML into your Data Pipelines

SageMaker jumpstart typically takes 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 10 GB of any type of data from 1 data source into multiple datasets.
  • Datasets come with user level and group level ownership and access controls.
  • Amorphic Jump Start to build, train, tune and deploy using one AWS built-in Algorithm.
  • Amorphic Jump Start to include these three activities:
Build
  • Define business problem and identify data sources
  • Git collaborated hosted notebook instances for development.
  • Data cleaning, ETL, algorithm selection.
Train
  • One click managed, distributed and pay per sec training.
  • Choose from 17 state of the art algorithms.
  • Managed tuning and optimization jobs.
  • Train once, run anywhere.
Integrate
  • Get predictions and interpret results on new incoming data.
  • Automate data cleaning, ETL and interpretation business logic into the ML workflow.
  • Schedule or trigger on-demand prediction jobs.
  • Jumpstart includes an automated pipeline (below) which will perform predictions on real time / batch ingested data and transform into a target dataset.

Common Industry use-cases:

Fraud Detection, Churn Prediction, Preventive Maintenance,  Disease Onset, Image Classification, Video Analysis, Content creation, Contextual Chat-Bots, Auto Tagging, Supply Chain Automation, Personalized Pricing, Outage Prevention, Route Optimization, etc

Experience ML-as-a-Service for IT, Business and Data Scientist

Amorphic is an AWS production ready data-lake-as a-service engineered for AWS SageMaker machine learning. Self-service user simplicity makes it ideal for analysts, developers, line of business and data scientists.

We Simplify Amazon Machine Learning for IT, Business & Data Scientist

Amazon SageMaker Machine Learning isn’t just for data scientist. Cloudwick makes decision automation for analysts, developers, line of business users, data engineers and even data scientists easier and faster to build, tune and deploy with Amorphic.

Cloudwick’s Amorphic data lake-as-a-service and Amazon SageMaker make it easier, faster and cheaper for IT, business and data scientists to build, tune, deploy and manage production machine learning models.

Business Intelligence

Data Lake Powered Data Warehousing

Cloudwick is an AWS Advanced Consulting data and analytic competency partner. We specialize in modernizing Amazon data warehousing by using machine learning to reduce the cost of ETL, add predictive forecasting to business intelligence and make it possible for all cloud data to be easily governed, searched, accessed, shared and analyzed by IT, business and data scientists.

The Need

Reduce the cost of cloud data warehousing, add search, sharing and ML predictive forecasting to business intelligence.

The Challenge

Today’s cloud data warehouses are expensive and don’t support artificial intelligence for predictive business intelligence

The Solution

Cloudwick specializes in enhancing, extending and adding new capabilities like predictive
machine learning forecasting to cloud business intelligence reporting
and offloading expensive ETL jobs from the data warehouse to a data lake for
cost and performance optimization.

Q3 AWS BI Jump Start Offer

Image / Video Analytics

Image / Video Jumpstart typically takes 2 weeks and involves the following deliverables in a cloud native, scalable and secure manner.

  • Ingest real +me 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.
  • Jumpstart includes one detailed real-time analytics dashboard.

Q3 AWS BI Jump Start Offer

Insights from Raw Text

Text / NLP Jumpstart typically takes 2 weeks and involves the following deliverables in a cloud native, scalable and secure manner.

  • Ingest real +me 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.

Add Amazon SageMaker Predictive ML Forecasting to Your Data Warehousing & BI

Cloudwick works with data and analytic organizations to add predictive forecasting machine learning models to traditional business intelligence to improve business insights, reports and dashboards. Additionally, we work with data-driven companies to modernize their cloud analytics around native and serverless data-lakes.

Decision Automation Consulting, Services & Solutions for Data Warehousing & BI

Data-driven organizations find competitive advantage from cloud analytics. Cloudwick consulting helps IT, business and data scientist do more with their data warehousing and business intelligence by enhancing and extending capabilities using data lake machine learning.

Hadoop & MPP Migration

Hadoop On-Premise Migration to AWS

Cloudwick has 10 years of Global 1000 Hadoop operations expertise and has migrated more than 30 Hadoop clusters to AWS. We provide consulting and engineering services and solutions to migrate petabyte scale production clusters and workloads using our own migration frameworks and automation.

The Need

To assess, plan and migrate production Hadoop on-premise clusters to AWS

The Challenge

To meet business requirements, reduce costs and increase analytic capabilities.

The Solution

Cloudwick specializes in migrating production Hadoop clusters and workloads to AWS by
1) Lifting & Shifting As-Is, 2) Lifting & Shifting to EMR and 3) Refactoring to AWS Native

Cloudera Migration

A Fortune 150 multinational corporation that designs and markets footwear, apparel, equipment and accessories needed to migrate its on-premises Hadoop workload to AWS and required Spark for predictive analytics. Cloudwick, a certified partner for both AWS and Cloudera, conducted the migration from the data center to AWS, resulting in higher performance for the company’s e-commerce site and modern BI analytics. The company can now support new real-time predictive analytics and deliver improved inventory management, customer experience, marketing effectiveness and more.

MPP Migration

A leading multi-billion dollar healthcare solutions company with one of the leading cloud based electronic healthcare records platforms needed help migrating off of Netezza and Informatica on to Amazon Redshift and Glue. Cloudwick presented to the customer a three-step plan starting with a workshop to identify and document the business and technology requirements. The successful POC covered three months and was followed by a 6 months cloud native refactoring using Amazon Redshift and Glue. The company is now able to unify it data across Amazon BI, AA, ML and AI services and develop new services more quickly.

Hadoop On-premise Migration
to AWS Professional Services

Data-driven organizations turn to Cloudwick for cloud data lake solution architects, data engineering, devops and data science consulting and long term staffing for on-premise Hadoop migrations to AWS.

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.

Redshift
Athena
EMR
Elastic Search
SageMaker
Comprehend
Textract
Recognition
Forecast
Transcribe
Translate
Macie
Dynamo DB
Macie
Glue
Quicksight

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

Our Insights

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 .