Cognitive Services

Thoughtfully Apply Artificial Intelligence

Machine learning will be at the core of every product and service and increasingly responsible for new value creation. However, to succeed companies must thoughtfully apply artificial intelligence through human-centered design that is data-driven.

How are your company’s products or services exploiting data? The reality is that most application data is still hidden from plain sight which makes it difficult to understand its true value.

Moreover IoT data is even more elusive and remains out of reach. While a concrete data strategy within the R&D organization is necessary, it's clear that properly taking advantage of algorithms is a source of competitive advantage:

  • Self-optimizing networks that tune capacity, coverage and performance for telecommunication providers
  • Predictive asset maintenance that helps optimize the performance of industrial equipment 
  • Human centric behavioral analytics that find ways to enrich the customer experience

 

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Our Cognitive Services help companies leverage learning algorithms that optimize systems and deliver enhanced experiences

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Our Services

Smart products are engineered with smart data. Our Data and Context services are a set of design and product engineering services that help embed analytics into legacy products and introduce brand new smart services.

Some of our services include:

Design Intelligence

We help clients derive insights from data by designing intuitive data-driven experiences and prototype solutions with bekspoke machine-learning algorithms.

Data Engineering

We help clients build provisioning workflows and APIs for data sharing, develop edge-analytics capabilities for data pre-processing and data reduction, and manage the integration of smart-data insights.

Machine Learning Product Realization

We go beyond the conceptual and the abstract to realize and deliver solutions. Our grit, creativity and passion transform ideas into reality.

Our Differentiation

  • Design intelligence services that bring empirical data into an agile machine learning methodology 
  • An agile machine learning toolchain that abstract away dozens of tools, APIs and SDK's accelerate use case realization. 
  • A library of machine-learning models and reference architectures for industry specific use-cases
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