AI & MACHINE LEARNING

Train your data to be intelligent and actionable.

Empower your data to make automated recommendations, take preemptive action, and streamline decision-making.

Driving Outcomes in AI & Machine Learning

Across industries, organizations are looking for ways to leverage artificial intelligence and machine learning. Onica specializes in helping you automate and innovate, leveraging proven cloud frameworks to jumpstart your projects. We rely on our deep expertise from data engineering to data science to help you gain unprecedented intelligence from your data.

Artificial Intelligence (AI)

(AI) is any computer system which can solve problems in ways traditionally associated with human cognition and learning.

Machine Learning

The training of a computer system to make predictions using statistical models based on data, an important underpinning of AI.

Intelligent Cloud Solutions

Forecasting and Prediction

Leverage historical data to build models that predict future outcomes.

Machine Vision

Rely on images or video to collect data including tracking objects, detecting changes over time, and facial recognition.

Language Processing

Involve speech or text including interpreting, translation, and sentiment and key word analysis.

Extended Reality (XR)

Leverage advanced human-machine interfaces, such as chatbots or AR/VR/XR with real time-human interaction as a key element.

Anomaly & Pattern Detection

Identify clusters of commonality or normal/anomalous distinctions such as segmentation and categorization.

Innovating Across Industries

Onica Customer Use Cases

Healthcare

A machine vision HIPAA-Compliant solution synchronizes data in real-time between multiple camera systems and includes a workflow which correctly detects events by evaluating the video stream and categorizing each image state as inside or outside the body. This solution provides real-time, remote access to critical surgical information.

Oil & Gas

A petrochemical company was filling their tanks too often and making unnecessary trips to tanks that were still 75% full, resulting in costly excess labor. Onica implemented an IoT + AI/ML solution to monitor fill level, predict supply depletion, and prioritize delivery route/schedule to ensure no tank levels fell below 10%. Results: cut operation costs in half while keeping 100% customer satisfaction.

Supply Chain

A manufacturer wanted to predict when their equipment was failing so they could order replacements parts before the system failed. This helped them maintain a lean inventory with a streamlined supply chain, reducing staff count, and provided them the ability to notify their customers in advance when a part needed to be replaced.

E-Commerce

A major online retailer needed to optimize packaging options and predict potential shipping damage factors. Onica developed a machine learning model to predict transportation cost savings associated with changing packaging types for products in the retailer’s catalog. Using returned item data, Onica developed a predictive model to determine which product combinations likely result in damage when packaged together

Hospitality

A global customer service corporation needed an automated conversational interface on their website capable of interacting with the customer naturally, answering questions around specific products and services. Onica leveraged AWS Lex to develop a chatbot that learned from customer interactions and progressively increased its capabilities through analytics from stored customer sentiments.

Insurance

Onica created new agent training in VR on how to do insurance appraisals without the need to go out into the field. The virtual training system walks new agents through a comprehensive set of scenarios, where a trainer evaluates how well each trainee does and gives feedback on things that were missed. This solution fast-tracks training and enables new agents to gain years worth of experience in a few weeks.

CASE STUDY

Spireon Partners with Onica to Launch the Next Generation of their Connected Vehicle Platform

Spireon, a vehicle intelligence company has a connected vehicle platform that powers their automotive and commercial applications and supports over 4-million connected vehicles. They needed a secure and scalable platform that could support existing devices in the field as well as the growing number of new devices added to the platform each month. Onica worked alongside the team at Spireon to help build a cloud native data ingestion pipeline that enabled them to quickly run ML models to gain market insights.

On-Demand Webinar

AI/ML: AWS SageMaker

Learn about Amazon SageMaker, Amazon’s platform that provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

Explore Our Latest Cloud Insights

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Case Studies