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Democratized AI 
You can trust.

Innovation
you can scale.

Security

Ensure data privacy as well as compliance to industry regulatory standards that are critical for business use cases

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Granular Access Controls

Role and attribute based access controls at the data element level ensures secure discovery and model building.

Data Cell-Level Security

Responsible data handling through encryption for privacy and data snapshots for reliability.

Policy Management

Identify, implement, and manage the rules and procedures required for accessing and deploying models.

Governance

Achieve transparency and accountability of AI projects with audit trails, model governance, and transparency.

AI Audit Trails

Monitor and track the ML lifecycle with AI workflows to mitigate drift and ensure model reliability.

Model & Data Governance

Define and enforce practices and processes to help ensure the formal management of data assets.

Transparency

Eliminate fear of bias with complete transparency of model results and how these results are achieved.

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Ease of use

Democratization of data and the automation of the AI lifecycle empowers all data users to be innovators — accelerating the time-to-market of new AI solutions.

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Low/No-Code AI Development

Abstract the complexities of AI through an intuitive and graphical user interface for data science and modeling.

Data Fusion

Simplify data access, ingestion, and harmonization by fusing disparate sources in a centralized data reservoir.

ML Ops Automation & Serving

Streamline the ML lifecycle by automating mundane ML Ops tasks to accelerate time-to-market of new AI solutions.

Explainability

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Build trust of AI across the business and data teams, which will increase adoption of AI to enable more use cases and solutions.

Business Explainability

Build trust with the business through model performance insights to mitigate risk and ensure AI solutions are production ready.

Visual AI Explainability

Ensure clear understanding of how your models work for both technical and business audiences.

Model Simulation

Ensure resiliency and accuracy of models through exhaustive stress testing.

Collaboration

Dismantle cross-team silos between data teams and the business to boost trust and productivity across the organization.

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Centralized Platform For All

A collaborative environment that enables all members of the data team to work together to fuel AI-powered innovations.

Data Democratization

Remove data engineering barriers to enable open access, exploration, and analysis of data.

Shared Projects

Increase collaboration and productivity with shared projects that facilitate asset sharing and reuse.

 
 
 
 
 
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Measurable success, immeasurable impact

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GROWING  REVENUE MARKET SHARE  
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HIGHER OPERATIONAL EFFICIENCY
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LOWER OPERATION COSTS
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FUTURE-PROOF YOUR BUSINESS

Additional Resources

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Gartner names Lucd cool vendor

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Avicenna, AI, and the data-driven fight against Covid 19

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Lucd Platform Overview

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Want to see for yourself how Lucd can empower the success of your businesses AI initiatives?