Mosaic helps businesses design and deploy IoT solutions powered by custom AI & ML models that reduce operational costs and achieve business growth in real time.

Custom Modeling Transforms Sensor Data into Actionable Information & True Decision Support

Data science techniques complement advances in Internet of Things (IoT) technology because of the sheer amount of information properly tuned models can process. We are not talking about megabytes or even gigabytes of information anymore. On the contrary, data science for IoT deals with massive volumes of data that can reach entire zettabytes.

Sensor intelligence enables more accurate decisions, empowering companies and organizations to identify new opportunities, increase sales, improve customer experience, and optimize operational performance. Rather than replace human operators, custom-built AI & ML extract hidden information from sensor data.

Mosaic is no stranger to working with massive pools of data to build and deploy actionable solutions for our customers. We wield the power of AI and ML to help businesses reduce operational costs and achieve business growth with IoT’s real-time capabilities. Our collaborative, problem-focused, seasoned, and custom approach to advanced sensor data analytics applications makes us an ideal partner.

Featured IoT Success Stories & Insights

IoT Machine Learning Modeling for Product Development

A hospitality technology disruptor was developing a new sensor suite to detect when a guest was smoking inside a property and distinguish it from approved activities such as cooking. They engaged Mosaic to build time series classification models to identify and alert on smoking events from the streaming sensor data.

AI-Powered Manufacturing Optimization

Using AI to analyze sensor data, Mosaic helped a renewable energy producer optimize furnace temperature to improve wood pellet production efficiency by reducing slag production and pressure buildup and providing control room operators with easy-to-use recommendations for setting furnace controls.

Leveraging Smart Collar Data to Assess Pet Health

Mosaic worked with a vet tech company to develop an encompassing pet wellness score and early disease-identification models using an AI-driven collar device that collects pet behavioral information and reports health insights to the owner's app using IoT and sensor data techniques.

Predictive Maintenance Modeling for Industrial Machinery

Mosaic was contracted by multi-national manufacturer of construction and mining equipment to develop a proof-of-concept predictive maintenance model to predict equipment failure before it happens to minimize downtime and optimize maintenance schedules.

Reducing Greenhouse Gas Emissions with Data Science

Mosaic developed an innovative optimization app for the green power sales function at a leading utility, helping them recommend suites of renewable energy products to meet corporate carbon footprint reduction goals within budgetary constraints.

Businesses are adopting IoT, yet many experience challenges in extracting insights they can trust

Studies show that AI for IoT is poised to become mainstream in the following decade. According to Gartner, by 2024, 75% of companies implementing IoT will also have implemented AI in conjunction with at least one IoT project.

Deploying AI for IoT is challenging for organizations looking to reap the benefits, but the payoff is too great to overlook. Some of the biggest adoption barriers of IoT data solutions include:

Data Security and Privacy Risks: With more IoT data tied to our personal lives and private operations, more opportunities exist to hack or leak sensitive information.
Scaling Issues: Organizations without a proper roadmap struggle to scale IoT projects to meet their demands.
Lack of Skills: IoT analytics is a new technology that demands an innovative skillset instead of traditional data science techniques.
Production-Grade AI: IoT requires organizations to deploy AI/ML in production, requiring expertise in MLOPs and architecture that can handle changing data.

Mosaic’s deep knowledge of artificial intelligence and machine learning makes us an ideal partner for production-grade IoT applications. We can help you take the extra step to make your sensor data more robust, powerful, and accurate with tailored data analytics.

AI for IoT Solutions Resource Library

Explainable AI for Lunar Operations to Build Trust in Autonomous NASA Rover Exploration

Mosaic developed Explainable AI in Lunar Operations to support lunar rovers using imagery data from hardware to assist NASA rovers in assessing the traversability of a given region of terrain, supporting increasingly autonomous operations.Read More →

Reducing Jet Fuel Emissions with Operational Artificial Intelligence

Mosaic helped a commercial airline integrate custom machine learning to predict departure runway and taxi-out time, cut operational costs, and improve the customer experience, aiding in reducing fuel emissions with AI.Read More →

Designing & Deploying Practical Advanced Graph Analytics Solutions

Given a set of nodes & connections, which can abstract anything from transportation networks, connections between customers, knowledge graphs, or molecular structures to computer data, graph analytics provide a helpful tool to quantify & simplify the many moving parts of dynamic systems.Read More →

Geospatial Data Analysis for Machine Learning-based Customer Clustering

Both descriptive analytics and machine learning models can benefit greatly from using geographic data analysis to solve segmentation use cases.Read More →

Deriving value from IoT and sensor data with time series classification (TSC)

Anytime you wish to predict the transient state(s) of something or someone constantly monitored by sensors, time series classifications are the right tool. This article will explain some basic concepts of using deep learning models for TSC and finish with a brief discussion of ways to improve the performance to save on cost and speed.Read More →

Detecting Voltage Anomalies

Mosaic developed a data-driven alerting solution powered by unsupervised learning to assist a leading energy utility in detecting voltage anomalies & informing optimal grid health decisions.Read More →

Automated Cooking Prediction & Optimizer | Deep RL

Mosaic built an automated cooking prediction & optimizer using deep reinforcement learning to improve short term cooking operations.Read More →

Fusing Weather Data into Machine Learning Predictions

Weather has a high impact on operations in many industries, and therefore is of great value to integrate into strategic decision making. Mosaic has roots in aviation research & development, giving us deep expertise in combining weather data streams with planning applications to facilitate efficient resource allocation.Read More →

Gameplay Analytics

Gameplay data are a trove of information about how athletes are acting and reacting in real situations, and there are real benefits to be gained by mining this information at every level, from the athlete to the entire team. In the modern age, the team that can measure and understand itself through its own data will... Read More →

Root Cause Analytics of Telemetry Failures

Root cause and diagnostic analytics is a great approach for identifying computer failures.Read More →

Diagnosing Windows 10 Crashes

Applying predictive AI services to identify the factors behind dreaded Blue Screen of Death.Read More →

Aircraft Trajectory Optimizer

Optimizing how airplanes take off is a perfect use case for fusing IoT and predictive analytics.Read More →

Aircraft Performance Model IoT Data Mining

We examine how to apply ML & AI for the IoT use case of mining for aircraft performance insights.Read More →

Demand Forecasting for Network Bandwidth

We built a custom demand forecasting model using ML techniques, helping a leading professional services firm predict office bandwidth requirements.Read More →

Data Science for Utilities

The Energy industry holds multiple predictive analytics and data science opportunities. One large utility hired a management consulting firm to study their data process. The management consultants identified over $300 Million of value by utilizing the data this utility had already collected over many years.Read More →

Data Science for Manufacturing

Manufacturing companies have a large opportunity to apply data science techniques like AI & ML to optimize their business processes.Read More →

The Value of Information in the Age of Big Data

This white paper explores how traditional models of the value of information (VoI) can be extended effectively to account for uncertainties presently inherent in gathering and analyzing big data.Read More →

AI for IoT Solutions Sheet

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