Become an AI first organization

AI-first means devoting resources to data collection and learning (a longer-term objective) at the expense of important short-term considerations such as immediate customer experience, revenue, and user numbers.” —Sundar Pichai, CEO Google, 2017

For many businesses scaling AI programs and building internal teams is the next frontier. We work to help organizations develop internal competency while embracing AI in a scalable, sustainable way. We manage many efforts simultaneously: creating a strategic vision, taking stock of current capabilities, building AI-supporting processes and platforms, instilling AI expertise into the business, and cultivating AI-related activities.

Managed Services

AI managed services is about continuous data collection and learning. Models can progress and increase in capability over time when nurtured. If left alone, they can decay.

Collecting data and building initial models is the easier part. We help graduate pilot projects into operational deployment.

Continuous monitoring, training, and tuning services to ensure your AI programs increase in value over time.

  • Debug and test models in production
  • Monitoring and substitution of new models if the older model fail
  • Process development for continuous AI experimentation, integration, and deployment
  • Continuous learning, and feedback loop to improve its operations.

AI Operations

Organize for AI. AI requires more than data and technical mastery. Sustainable adoption requires integration between operations, data, infrastructure, and expertise. We help establish systems that provide easy access to your data. Then, we provide the resources to train the models. KUNGFU.AI enhances your capability and capacity to execute AI projects with an efficient system for data, technology, and expertise.

AI Operations Services

AI Center for Excellence

KUNGFU.AI help organizations operationalize around AI and establish their own center of excellence. We provide team training, process development, AI DevOps, strategy consulting, and change management, as a bridge until internal operational excellence is established. Core features of an AI Center of Excellence includes the integration of: Business, Project, Learning, and Technology.

1. Business:

  • Strategy alignment
  • Business justification
  • System of measurement

2. Technology:

  • Digital readiness
  • DevOps
  • Technology roadmap

3. Learning:

  • Systems of measurement
  • Recurring learning process
  • Human in the loop

4. Data:

  • Data augmentation
  • Recurring learning process
  • Human in the loop
  • Consolidate data silos

5. Organization:

  • Expertise planning
  • Fractional leadership
  • Process & collaboration

Fractional Chief AI Officer

Most organizations need technology visionaries at the executive level but struggle with finding the correct expertise or the investment. Some just need part-time leadership. Think of fractional expertise like leadership-as-a-service. We offer our experienced CTO’s as part-time leadership and consultants for hire. Our fractional Chief AI Officers help organizations build AI competency, strategy, and oversee project implementation.