Since June 11th 2020 we have hosted nine webinars on interesting topics delivered by astute speakers, who shared valuable insights about Machine Learning for Predictive/Prescriptive Forecasting and Anomaly Detection. We have focused on how to gain business value out of Machine Learning technology. The sessions demonstrated how augmented, adaptive and predictive analytics using Tangent Works TIM, Tangent Information Modeller makes it easy to deliver business value. You can find links to all sessions recordings below.
Machine Learning is a hot topic, executives across the globe understand that using data to better steer the business makes sense. This episode of our Brain Snacks series is designed for executives with limited in-depth ML know-how that want to get informed on the challenges and potential of ML for their business.
5 Key Takeaways:
Executives across the globe understand that using data to better steer the business makes sense. But too often these project remain experiments and fail to deliver value to your operations or business. This episode of our Brain Snacks series is designed for executives with limited in-depth ML know how who want to get informed on the challenges and potential of ML for their business.
If one industry was turned around fast it’s the energy industry! Market liberalization and de-carbonization efforts create huge changes in the energy industry value chain. Learn how predictive analytics helps to deal with the challenges of the energy industry. Save cost, purchase better and run operations more efficiently.
In this session of our Brain Snack Series, industry experts can learn about:
Implementing InstantML for predictive analytics in manufacturing results in more efficient operations. Better forecasts, better detection of anomalies and subsequent improved predictive maintenance is revolutionizing the industry.
Our speakers will discuss the following areas where Machine Learning augments in the manufacturing industry:
Machine Learning capabilities can help to boost sales by better forecasting product demand, availability or prices. Retail data has a tendency to fluctuate over time making traditional approaches to modelling less suited. Real Time InstantML capabilities are a way of dealing with this variability without the need for continuous involvement of experts. It keeps you forecasting capabilities close to the business thus close to where value can be generated.
You've probably read about how Machine Learning is often used in Hedge Funds for pattern recognition, to support quantitative strategies for trading in the capital markets. However, you might not be aware that Machine Learning can assist in many other areas in the finance industry: by forecasting mortgage prepayment rates, detecting delinquencies and estimating credit risk, for example. In this session, Greg Oliven, CTO of our US partner Polygon Research, will cover "Predicting Borrower Prepayment behavior in the US Mortgage Market".
As a technology partner Tangent Works can now offer its InstantML technology to Microsoft platform users. This technology enables large scale automatic augmented Machine Learning capabilities for forecasting and anomaly detection in a Microsoft environment. The session talks about and demonstrates integration in Azure, Azure Data Factory, Excel, Power BI and more.
The TIM server-side extension (SSE) for Qlik Sense brings Tangent Works unique technology called RTInstantML to the Qlik user community. It allows users to get instant forecasts based on the data in their hypercube. This helps users to gain deeper insights into their data and the models used. RTInstantML creates a large scale fully automated forecasting capability in Qlik while presenting the user with insights in the models used. It offers extensive opportunities for better more dynamic forecasting while delivering insight.
Tangent Works is an Alteryx Tech Alliance Partner. This partnership allows Alteryx and Tangent Works to bring a unique combination of technology that enable those who work with time series data to easily benefit from machine learning for predictive and prescriptive scenarios.