Automation Solution

AI Data Foundation Workshops

Get your data ready for successful AI implementation with our customized data foundation workshops.
Software Integrations and Toolkits
Accelerator Solution
3 Pillars of AI Readiness
Optimize Your Data for AI Success

Our expert-led workshops focus on data strategy, governance and architecture to create a solid foundation for your AI initiatives.

Benefits

Quick Highlights

Competitive Edge

Use data insights to drive strategic decisions and stay ahead of market trends

Regulatory Compliance

Ensure your data practices meet industry regulations and minimize data breach risks

Optimized Performance

Improve system performance and data access speeds to support your AI initiatives

Scalable Architecture

Design data systems that can grow with you and adapt to evolving AI technologies

Deliverables

Unlock Your AI Success With a Clear Data Strategy

Here’s what you can expect to take away from our comprehensive workshops:

Data Strategy Roadmap

Data Strategy Roadmap

Get a strategic plan to harness data for competitive advantage and inspire a data-driven culture.

Data Governance Framework

Data Governance Framework

Establish policies and procedures to ensure data quality, security and regulatory compliance.

Architecture Blueprints

Architecture Blueprints

Get help designing scalable, flexible data systems that support AI integration and boost performance.

AI Data Foundation in Action

Tailor Your Workshop Experience

Our workshops blend collaborative exercises, data assessments and strategic planning to create a customized AI data readiness plan for your organization.

AI Data Foundation Tailored Workshop Experience

Flexible Options

Choose Your AI Preparedness Path

Select from our Essential, Enhanced, or Ultimate packages to suit your organization's specific needs and AI ambitions.

Services Essential Enhanced Ultimate
Readiness Assessment
  • Review data framework for collection, analysis and reporting
  • Review, update or create policies and procedures for data management, data quality, security and privacy standards
  • Review processes and adherence to regulatory requirements and internal policies and identify detailed compliance reports

Data Strategy Roadmap

  • Outline objectives, key initiatives and timelines

Data Architecture Blueprint

  • Outline data architecture, including data flows, schemas and integrations

Technology Stack Assessment

  • Review current tech stack and provide recommendations for data management technologies

Data Frameworks

  • Develop processes for data collection, analysis and reporting

Training & Development

  • Create materials and workshops to promote a data-driven culture within your organization

Data Custodianship

  • Implement roles and responsibilities for managing and safeguarding data assets

Establish Regular Audits

  • Ensure adherence to regulatory requirements and internal policies with detailed compliance reports

Data Modeling Creation

  • Develop logical and physical data model definitions that support AI, scalability and performance optimization

Technology Selection/Recommendations

  • Get expert recommendations for data collection, analysis and reporting based on your current infrastructure and future needs

Technology Implementations

  • Implement tools/applications for data collection, analysis and reporting

Establish Zero Trust Policies

  • Get expert support on developing policies and create automated audit capabilities to monitor and report on compliance
Pricing and duration are based on package scope. Final pricing will be determined when you speak with our experts.
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Need more help with AI implementations? Let us do the heavy lifting. Check out our other AI consulting and implementation services.

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Build Your AI Data Foundation

Fill out the form today to discuss your AI data foundation needs and pricing.

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