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“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
