TIM’s core functionality for advanced forecasting and
anomaly detection can apply to a broad range of industries
and use cases. However, our initial focus is on the following
The energy market is a complex web of suppliers, grid
operators, utility companies and brokers, all of which are
under pressure to act smarter, cleaner and more efficiently to
meet the world’s energy demands. Accurate forecasting is
essential to keeping the grid balanced, reliable and to
maintain the best pricing for business and consumer rate
payers. There are many applications for AI in the “smart
grid” of the future but here are some of the pressing
problems for today.
Demand & load forecasting for electricity, gas, heating and cooling operators, and
distribution network operators.
Supply forecasting for renewable energy plants such as
solar, hydro and wind.
Price forecasting for energy trading.
Anomaly detection and predictive maintenance for
power generation equipment.
In asset-intensive manufacturing operations, Overall Equipment Effectiveness (OEE) and quality are key competitive advantages that can have a significant impact on your bottom line. Traditional reactive and fixed-schedule approaches to maintenance and quality control are no longer yielding significant improvements, and companies must adopt AI technologies to get to the next level. But most companies lack the resources and expertise to tackle the problem so it often takes a back seat to firefighting activities. That’s where Tangent Works can help.
The Challenge — How to leverage AI technology to improve operational efficiency.
Forecasting and anomaly detection are essential for most businesses since managers must always try to match supply and demand and make their operations run as smoothly and
The Challenge — Meeting the demand for AI-based
forecasting and anomaly detection.
Your organization would like to jump on the AI bandwagon but there is a shortage of data scientists and there’s a tremendous backlog of projects awaiting resources. You’d like to be able to innovate and leverage AI/machine learning technology without needing to be an expert.
TIM delivers — Accessible, accurate AI with fast time to
TIM automates the model generation process so you can create and update predictive models without being an AI expert. So instead of using one generic model to fit a class of customers or equipment, you can create individualized models for each customer or asset, and get the best possible accuracy.
The Challenge — Hosting compute-intensive AI tools and integrating them with your existing databases and applications.
Some AI tools are very compute-intensive and require a major investment in on-premise hardware or cloud instances. You’ve likely got plenty of existing databases, data historians, BI tools and enterprise applications that would likely need to interface with a new predictive analytics tool. Firewall restrictions may make cloud-based solutions impractical.
TIM delivers — maximum compute efficiency, rapid integration and flexible deployment options.
The Challenge — Improving your productivity so you can
focus on the most important tasks.
It’s hard to recruit and retain data scientists these days so your job security is better than ever. That’s the good news. But with a long list of potential AI use cases in your company you may not be able to get the help you need to scale up the use of predictive analytics beyond a small number of projects.
TIM delivers — Scalable, automated, understandable AI
TIM Improves your productivity by eliminating repetitive, trial-and-error modeling tasks and by helping you visualize your model with an intuitive heat map that shows the relative influence of all your input variables. Unlike other modeling tools that require you to choose from
hundreds of pre-defined models, TIM creates an optimized model based on the patterns it detects in your time-series data. You’ll spend less time doing feature engineering, building and explaining models and more time on exploiting the power of predictive analytics across your organization.