Using Nebuli’s Datastack® framework, you can combine your siloed data sources, documents, spreadsheets and analytics tools, into a single knowledge stack on a private cloud.

About

Nebuli’s Data Lab helps teams and organisations untrap their data from multiple sources combining them into complete and accurate datasets for digital business processes and sophisticated data analysis. The key offerings of the Data Lab include, but are not limited to:


  • Deep analysis of your data, establishing valuable insights, making better decisions, and staying compliant with regulations.
  • Through Nebuli’s Datastack® framework, you can combine your siloed data sources, documents, spreadsheets and analytics tools, into a single knowledge stack on a private cloud.
  • Opening up unlimited possibilities for your team to turn your data silos into actionable results through Nebuli’s federated learning models.


Data Lab is part of Nebuli's Augmented Intelligence innovation ecosystem and is your foundation for modern and strategic AI and data models:

Key Benefits

Nebuli's Data Lab provide comprehensive service packages in the following critical foundations of your data and business strategies, as well as AI deployment strategies:


Data Migration

Strategic data preprocessing and migration from legacy database models and file archives to integrable cloud databases.


Data Readiness

Data catalogue assessment for achieving successful digital transformation strategies.


Hybrid Cloud Integration

Offering efficient hybrid cloud integrations, combining your on-premises servers or private cloud with public cloud services.


Data Security

Enhancing data security protocols and data privacy policies through our Nebulized Data Layer.


Data Ethics

Examining data, privacy and technological commitment toward ethical and trustworthy alignment with personal and cultural concerns.


Policy Audit

Aligning regulatory and internal policies with the fast-moving digital transformation and AI-driven world.

Applications

Prioritising Data Ethics and Explainable AI Models

We apply a Data-Centric AI approach – building AI systems responsibly using quality data. We ensure that your datasets clearly convey what the targeted AI model must learn and deliver trustworthy results. Our approach also enforces strong data ethics and user privacy throughout the process, from planning to delivery.


Prioritising Data Quality and Relevant Information Sources

Our mission with the Data Lab is to help teams and organisations establish new data standards that uncover new business opportunities and hidden augmented intelligence capabilities through their trapped data. We help you explore your data pain points and work with you in defining your ultimate data-driven outcomes by producing the right metrics and conditions for your end users.


Training Machine-learning Models without Anyone Seeing or Touching Your Original Data

Our data scientists map out your existing data workflows and datasets to identify trends and propose areas where automation, analytics and AI can add significant value. Through our Datastack and Deep Vertical Understanding Embeddings (DeepVUE), we combine multiple AI services powered by contextual intelligence, vertical understanding, responsible AI models, federated learning, Human-in-the-loop AI, and AIQ cited language models to advance human-machine interactions.


Data Security with the Nebulized Data Layer

The NDL forms the central part of the Datastack and contains a customer’s indexed data needed for specific tasks. The system then compresses this indexed dataset into its internally generated semantic and ontological models that allow it to read data in any format, language and from any vertical. The NDL processing generates Nebuli’s unique machine language with superior data compression, flexibility, speed and security to customers’ “Nebulized” data. This layer eliminates any footprints leading back to the customer’s original data sources.


Find out more about Nebuli's Data Lab at: https://nebuli.com/innovate/data-lab

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