We help customers succeed in their data journey, from strategy to data science, to MLOps, delivering end-to-end enterprise analytics solutions at scale.Contact us
We help companies develop an implementation roadmap to their business goals, including architectures, governance, technology and use cases.
We empower IT, business users and data scientists to implement ML pipelines, simplify operations, and increase usability, leveraging our MLOps technology and blueprints.
We leverage data, ML and mathematical models to generate predictions and inform proactive, data-driven decisions.
We build solution to collect, store, process, secure, and manage data at scale, to power Data Science modelling and advanced analyses.
By using advanced machine learning algorithms, our system performs fast and high-performing anomaly detection on millions of real-time transaction data, reducing false positives and ranking anomalies urgency. Our system operates at an enterprise scale and have major impacts on operational KPIs of core business processes.
According to our well-established experienced framework, we identified the most impactful AI use cases and designed and implemented a suitable big data platform. From IoT data sources, raw real-time data is ingested and engineered into a set of clean, coherent data. Using a variety of data science tools, we visualize and transform data in AI use cases, covering the entire data analytics life cycle for the customer: a key asset to deliver full control of the process of extracting value from big data.
We use graph technology to explicit the relationships between resources and digital data flows taking place within a business process in real-time. By mapping the ontology of the internal processes we develop mathematical and logical models that detect failures, spot wrong system configurations, prevent data leakage and assess risk to prevent incident and rank their impact according to automatic actions based on big data.
Our solution helps marketing executives optimize the media mix budget allocation, on a variety of channels such as SEM, social, display, email and TV. We analyze the customer experience and explore marketing data to identify correlations, trends, seasonality, and outliers that characterize dynamic KPIs, to predict revenues according to the marketing spending or to estimate the necessary marketing budget to reach the revenues target
Using our AI-powered UX personalization software platform, we optimize the customer journey through all digital touchpoints. We analyze interaction data through advanced machine learning and classification algorithms to identify and propose contents to users that suit their preferences, creating bespoke 1-to-1 experiences.
All-in-one blueprint and operating system to build, deploy and maintain machine learning models at scale according to MLOps principles and best practices.
We provide the most effective solution to collect, manage and analyze data coming from your customer interactions. We integrate the architecture layer with the Analytics layer to create a solution that analyzes your customer base and enables business use cases, syncing behavioural data and preserving data quality.
Compelling, relevant and adaptive customer experience is no longer a nice-to-have. ContentWise, technology developed by Moviri, automatically manages digital storefronts and catalog metadata to create superior customer experiences.
“Telefónica is changing the way users interact with our video products, following the principle of always placing them at the center of the experience. With the ContentWise solution, we can offer viewers personalized and simplified user experiences.”