“73% of companies will invest in Big Data in the next 24 months. 60% of them will fail”
Gartner
Make your data work for you. Don’t work for your data. Onica can help you innovate with your data at any phase:
First Class Support for delivering Data and Analytics solutions on AWS:
For customers with existing on-prem
data sources, or who are ready to
democratize data and build mature
cloud-native data workflows.
For customers who are ready to put their
data to work for them, with intelligent
and actionable insights.
For customers who need support
operationalizing and maintaining their
data processes.
Innovate With Your Data
onica.com
AVOID THE DATA BLACK HOLE
Innovate: Data, is Onica’s comprehensive Enterprise offering to help our customers avoid the data black hole
problem. Innovate: Data provides our customers with a clear path from data ingestion, through data
pipelines, to actionable insights. We understand every organization’s data needs are different, whether it’s
data lakes, visualization, data warehousing, analytics or machine learning. Using first class tools like Onica’s
Data Science Workbench enables us to migrate data and deliver solutions quickly, efficiently and affordably.
Leverage our experienced team of data engineers and data scientists to show you how to turn your data into
a tool for innovation.
APN Premier Consulting Partner
Data Migration
Discovery/Planning
End-to-End, automated migration
Onica’s Data Science Workbench
Data cleaning and preparation
Algorithm selection
Model training
Inference endpoint deployment
Dashboards, Visualizations, Realtime
monitoring and alerting
Managed Data Service (MSP for Data
Practice)
Meeting production requirements:
uptime, SLAs, performance, reliability,
DR
Cloud cost monitoring and
remediation
Data Engineering
Data Science /
Machine Learning
Data Operations
Data Pipelines
Data Ingest
Data Lakes
Data Warehousing
AI/ML from ingest to inference
Amazon SageMaker
Machine Learning
Platform service that makes
the entire process of building,
training, and deploying ML
models easy.
Amazon Athena
Interactive Analytics
Serverless pay-per query
service for analyzing data
directly in Amazon S3 and Amazon
Glacier using standard SQL queries.
Amazon Kinesis
Real-Time Analytics
Service for collecting, processing
and analyzing streaming data like
IoT telemetry data, application
logs, and website clickstreams.
Amazon Redshift
Data Warehousing
Service that provides the
ability to run complex,
analytic queries against
petabytes of structured data.
Amazon EMR
Big Data Processing
Managed service that makes it
easy, fast, and cost effective to
process vast amounts of data
from Spark & Hadoop frameworks.
AWS Glue
Data Catalog
Managed service that provides
a data catalog to make data in
the data lake discoverable, and
has the ability to do ETL.
800.839.2677
Onica Data Offerings
Customer Success: Medical Device Manufacturer
1 DAY Workshop: Data Pipelines and Data Lakes on AWS
Deploy and Manage Data Pipelines with Onica´s Data Science
Workbench
Best Practices for hosting Data Lakes on AWS
ETL, Data Warehouses, and Data Visualization
AWS Data Tools Deep Dive: AWS Glue, Amazon Athena, Amazon
S3, Amazon EMR, Amazon Redshift, Amazon Kinesis, Amazon
Elasticsearch, and Amazon QuickSight
All - Day
onica.com
APN Premier Consulting Partner
1 DAY AI/ML Immersion Days on AWS
Deep dive into AWS AI & ML Platform
Hear how businesses in your segment are leveraging AI & ML today
Collaborate around business drivers and desired outcomes
Lunch
9:00 AM -
11:30 AM
12:00 PM
12 WEEKS
AI/ML Quick Start: Workshops, Discovery, Data Modeling, & Environment Build Out
Discovery & Solution Ideation Workshop
Technical Deep Dive Demo: Workstream Envisioning
Whiteboard requirements & high-level architecture
Finalize project deliverables
WEEKS
1 - 2
2 Weeks: Data Discovery & Checkpoint
2 Weeks: Model Building & Demo
2 Weeks: Refining the Model & Demo
2 Weeks: Build out infrastructure, migrate data, & Checkpoint
2 Weeks: Turn on, Test, Validate, Iterate, Review & Closeout
WEEKS
3 - 12
Build a data pipeline from Amazon S3 to Amazon SageMaker
Deploy ML models fast with existing sample data sets
Identify problem formation ML method best practices
12:30 PM -

3:00 PM
What we did: Onica designed and deployed a system wide cloud side serverless architecture for devices & iOS
application. The HIPAA-Compliant solution synchronized data in real-time between camera systems, in-hospital server
products, EMR systems, the cloud, and mobile applications. Onica implemented a workflow which correctly detected
events by evaluating the video stream. Machine learning categorized each image state as inside or outside the body and
an inference model determined events from the changes in state estimates.
The Customer: A global Life Sciences Company that seeks to manufacture a new line of cloud connected endoscopic
surgical cameras, with an AI/ML workflow to correlate surgery length with positive outcomes.
The Outcome:
Globally scalable IoT-enabled endoscopic cameras that supports thousands of physicians in multiple continents
Solution provides real-time, remote access to critical surgical information
Industry-first AI/ML workflow to correlate surgery length with positive outcomes
Enabled modern collaboration and reinforced MDM’s leadership role as a technology
2-Week Sprints, Demos, & Checkpoints:
800.839.2677
Machine Learning
IoT Competency
Data & Analytics
DevOps Competency
Migration Competency
Competency
Competency