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
Leveraging Smart Collar Data to Assess Pet Health
Predictive Maintenance Modeling for Industrial Machinery
Deriving value from IoT and sensor data with time series classification (TSC)
Reducing Greenhouse Gas Emissions with Data Science
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.