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METEOROLOGY AI
Is Here

Turium brings Deep Learning to  Numerical Weather Prediction.

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The demand for weather and climate forecast information in support of critical decision-making has grown rapidly during the last decade and will increase even faster in the coming years. Especially with big data being harvested in multiple domains across commercial, government (inter-jurisdictional) entities and third parties services, there lies an unprecedented gap to aggregate and process this data into knowledge, for cognitive assimilation. 

Turium combines Numerical Weather Prediction and Deep Neural Networks to create a single source of truth 

The symbiotic relationship between NWP and DNNs improves the forecast horizon, spatial, and temporal resolution. At Xaana, we believe that the world of physics and AI have a clear symbiotic relationship and we deliver it as a single source of truth. Turium’s deep learning post-processing systems not only have the capability to correct biases and phase shifts in numerical forecasts, but also have the potential to quantify forecast uncertainty—both epistemic (due to lack of knowledge) and aleatoric (natural randomness of a process)—more comprehensively, and in doing so provide better information for decision support. In this sense, Turium acts as a bridge between the physical representation of the atmosphere by NWP and provides deep-learning decision-making support to the end-users.

AI as an 'algorithmic interface'

As ever more weather models come online, each with increasingly high resolution and with more numerous ensemble members, we understand that meteorologists are increasingly stretched to reliably and accurately summarize the available information into meaningful forecasts for end-users. The use of Turium’s solutions debias and ‘infills’ this probability distribution based on all available information. FABRIQ optimally integrates big data to extract meaningful information from the range of models it oversees in ALGOREUS. This has the potential to not only improve on probabilistic forecasting when it matters most but also facilitate individual model development by providing overarching consistency in output, so that drastically changing an individual model will not break the system.

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Why Should You Choose Turium

Feeds From Data Points Globally

Turium ingests data from both traditional and new sources to fill in the spatial and temporal gaps, the result is a more accurate forecast at a finer scale than coarser models, tuned for specific applications.

Forward-looking

Predictive climate models vs backward-looking catastrophic risk modeling

Select Your Precise Needs
 

Unlike global models that cannot fully address the nuanced climates of specific regions, Turium is customizable by location, resolution, coverage, parameters.

Human in the Loop
 

Validation and verification integrated throughout the modeling chain by human domain experts

Governance is built at every step

From purpose-based access controls to tracing the lineage of data from ingress to application to egress.

Quantified uncertainty

Measure and provide known sources of modeling uncertainty for all metrics

Multi-Layered Ontology

Gives a physical representation of the kinetic and non-kinetic elements that affect weather prediction and information shareholders

Interactive map

Gives a physical representation of the kinetic and non-kinetic elements that affect weather prediction and information shareholders

The Turium platform enables the world’s most critical institutions to generate impact across their data systems, operations, and decisions. Providing our clients with four key building blocks to accelerate their digital transformation initiatives.

Looking to Get More Out of Your Customer Data?

Build once, use plenty, a future-proofed open architecture to design context-driven and customer-focused strategies for your business. 

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Integrate multi-channel data and our top-tier predictive capability to quickly roll out data-enabled applications.

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Use powerful AI, decision models, and comprehensible data connectivity to ensure regulatory compliance.


Ensure that every activity is audited and relies on granular security levels for dynamic control.

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Watch ALGOREUS in Action

Impact Study: Building the Customer Centric Bank

Siloed operations hinder collaboration and knowledge exchange, which restricts the bank's ability to identify the appropriate offer for the right consumer at the right time.

In order to make client-centricity the core of their digital transformation plan, Turium teamed with a significant retail bank.

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Turium was able to resolve millions of unique clients from a single data asset, generate fresh leads for up-sell and cross-sell opportunities, and then leverage this knowledge to create new use cases throughout the bank.

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PARTNER

Retail bank

REVENUE UPLIFT

$50M +

CUSTOMERS INVOLVED

$10M +

CAMPAIGN CYCLE

From years to weeks

RESPONSE RATE IMPROVEMENT

15%

AUGMENTED AGENTS

10,000 +

Book a Demo

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