Run massive AutoML models in the cloud, efficiently and effectively
Flexibly adapting to new business models, a constant stream of innovations, and extreme scalability continue to challenge even the most advanced enterprises. Winners today are reinventing how to use technology to their advantage. A first-class Enterprise Data Cloud is at the heart of this transformation.
Data Prep
Fully fledged data preparation pipeline, including super feature extraction.
Compute
Multi-dimensional automatic compute, cloud-native scaling.
Analytics
Browse and augment with human oversight and domain knowledge and context. Create powerful data stories to communicate insights across different stakeholders.
Patterns come in many shapes and sizes. Our toolbox of algorithms contains many tools, ideally suited to search for specific types of patterns to make sure nothing is overlooked.
Correlations
What factors have decisive influence on your KPIs and how are they related.
Clustering
Find similiarities to group and categorize your business objects.
Trends
Predict the future and forecast what is going to happen.
Outliers
Find anomalies and exceptions and mitigate and deal with them professionally.
We combine classic AI/ML and highly specialized methods to analyze technical time series. Technical time series are usually not long-running or open-ended processes. They are produced by technical processes such as operating a piece of machinery or using an electrical device. Very often, they have a definitive start and end point and show behaviour that is driven by its physical properties, such as acceleration or heating and cooling.
Shape Detection
We can detect temporal shapes of technical processes
Time Series Clustering
Grouping types of time series based on similarity
Phase Detection
Decomposing time series into sequences of phase data
Anomaly Detection
Identifying anomalies and outliers in time series to manage exceptions
With our graph algorithms we detect patterns that are built on combinations of nodes and edges. This is essential to identify many patterns that appear in processes and involve discrete elements.
Hierarchies
Detecting hierarchies and nested structures that share similarities.
Impact
What impacts do specific events have on their environment?
Sequences
Understand the order in which certain events take place.
Causalities
Move beyond correlation and understand real causal relationships.
This is why we highly value our competence portfolio and manage it strategically. We are constantly observing the market and update our core skills to make sure we can always offer our clients the best advice.
AI that can analyze millions of features and generate millions of hypothesis needs to massively scale up and down to remain cost-effective.
Search engine for process and asset data: advanced search lets you quickly find and overlay behaviors of interest within the vast amount of historical process or asset data captured in one or more historians. Our users indicate that with search they can easily assess problem impact and validate or invalidate hypotheses in a matter of minutes.
PatternFinder fits easily into your existing IT landscape, and comes with plug and play connections for your existing data infrastructure and easy API integration. View the standard connections with data historians and relational databases that PatternFinder offers.
A learning organization: You can share your analysis work with the click of a button. Simply bookmark behaviors and capture the root cause, or share views directly in our web application. All users of PatternFinder can associate metadata of interest with each labeled event, including custom fields, attachments and comment threads.
We have designed Pattern Intelligence so that it fits right into your enterprise IT data stack.
Pattern Intelligence finds correlations between formerly siloed data sets, giving you the full picture of your business.
With its library of pre-built connectors Pattern Intelligence deploys within days, not weeks or months.
Pattern Intelligence performs data-in-place analysis. There’s no need to set up new data transfer pipelines.
How is PatternFinder different from AutoML?
AutoML is a method to automatically find the best predictive models for a given use case. PatternFinder does this for all use cases and scans the entire data set to show you the most valuable opportunities.
How is PatternFinder different from other Data Science platforms?
Most Data Science platforms target AI/ML experts. They provide an integrated environment where data scientists would normally need to work with various different tools. PatternFinder targets business analysts and domain experts.
How does data access work?
PatternFinder can access data from many different sources: virtually all standard SQL databases and cloud data lake stores. Also, most standard file formats are supported. We can add unspported data sources on customer request.
Do I still need human data scientists?
PatternFinder is meant to automate data science work and supports business analysts. Human data scientists work on specific high-value problems and create predictive models for only a select group of use cases. PatternFinder helps you identify those use cases.
Start your cloud journey with Wireframe.digital now.
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