KUNGFU.AI: Democratizing AI and Transforming Data into AI Strategies and Tools

Every business is in the data business. Artificial Intelligence (AI) has created a deluge of sites, apps, and technology systems for interacting with customers and managing the business. These systems are continuously producing data exhaust. After all the effort and investment spent on digital transformations, you still struggle to use your data to accelerate operations, reduce risk, or build differentiated capabilities. It is important to fill the missing link between digital transformation and ROI by turning data into capability.

KUNGFU.AI is one such company that is helping enterprises establish their AI strategy, develop custom solutions, and transform around artificial intelligence. Its practical AI methodology looks to understand the business objectives and data first so that they can build a solution that maximizes the return and minimizes the time and risk to deployment. KUNGFU.AI bridges the gap between Data Science and DevOps because of its deep DNA in software engineering. The company delivers various models to ensure the models make it into its client’s production environments. The company has built a team of hundreds of contract workers, all connected virtually, all tested and qualified, that are waiting for work RIGHT now.

KUNGFU.AI’s Cutting-Edge Solutions and Services Transforming Data and Unlocking Business Potential

Data Readiness Assessment: Data powers AI. No technology or AI algorithm can overcome a lack of data. Companies may be data rich, but if data hygiene is poor or the data is siloed, the value that data provides is significantly reduced. KUNGFU.AI helps identify third-party, contextual data sources to augment your existing data and reveal deeper insights. In collaboration, the company develops your data acquisition strategy to ensure you create and collect the right data for optimal AI readiness. The Data Readiness Assessment involves an assessment of your data and technology necessary to execute business relevant applications for artificial intelligence.

AI Executive Education: The foundation of a good strategy is good intelligence. KUNGFU.AI provides education and use case exploration around artificial intelligence. Its half-day and full-day workshops expose strategy leaders to how AI is transforming business today, the importance of data acquisition, and gets teams started with strategy development exercises.  The company will create your full artificial intelligence roadmap that includes a future vision for multiple use cases across the organization, prioritized by feasibility, time, data dependencies, and value. Organizations are left with a clear view on which parts of the business are most ripe for AI, and where an impact can be made over time.

AI Labs: A sustainable strategy requires 80 percent of your time understanding the problem space. The remaining 20 percent is experimenting with models. The company’s AI Lab quickly builds your AI roadmap, de-risks development, and accelerates adoption. The AI Lab is a four-day process for identifying, curating and prioritizing the most practical and relevant use cases for artificial intelligence. Following that, KUNGFU.AI’s team builds minimal viable products and test hypotheses. It is a lean innovation approach that incorporates leading-edge design thinking and uses proven methodologies from entrepreneurial product development.

The AI Canvas: Corporate strategy and business objectives need to be deconstructed in order to see where artificial intelligence can and should be inserted. This allows KUNGFU.AI to quantify the benefit of the enhanced capability versus the overall costs. Once value is understood, the company will rank-order the opportunities for AI from highest to lowest value to create a roadmap. The AI Canvas provides real business value by providing a starting point and definition for implementation of AI applications. For most businesses, augmentation opportunities are not obvious. Most AI journeys require upfront assessment to understand where data wealth, differentiation, and dependencies exist. KUNGFU.AI provides data strategy assessment that is important to your organization. This assessment helps identify gaps, quality issues, augmentation opportunities, and establish a data collection strategy.

Machine Learning Engineering: KUNGFU.AI develops custom data capabilities you own. It accelerates your digital transformation and build data capabilities that create operational efficiencies, reduce risk, invent differentiating features, or just predict the future. The success of artificial intelligence solutions depends on high quantities and quality of data. The company provides data augmentation services to improve and expand existing data features. It surveys adjacent internal and external data sources to join, creating additional opportunity for a solution development. KUNGFU.AI has the relationships to acquire it, as the company partners with leading data providers and have experience brokering data deals.

Machine Learning Engineering is a different process than traditional software engineering, though they are both more successful as agile processes. Machine learning is less code, but needs to train on data. Software capabilities are static, but ML is dynamic and generalizes on new information. Models need to be continuously fed new data so they can improve over time. Without attention, the performance can drift. KUNGFU.AI has adopted an agile process that stacks strategy, data analysis, model experimentation, then moves on to train and test the selected models. Once the company deploys the solution, they want to monitor, analyze, and re-train all over again. This enhances the data capability over time.

AI 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. KUNGFU.AI helps graduate pilot projects into operational deployment.

Continuous monitoring, training, and tuning services to ensure your AI programs increase in value over time. For many businesses scaling AI programs and building internal teams is the next frontier. KUNGFU.AI works to help organizations develop internal competency while embracing AI in a scalable, sustainable way. They 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.

AI Center for Excellence: KUNGFU.AI helps organizations operationalize around AI and establish their own center of excellence. The company provides 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 for Excellence includes the integration of: Business, Project, Learning, and Technology.AI requires more than data and technical mastery. Sustainable adoption requires integration between operations, data, infrastructure, and expertise. It helps establish systems that provide easy access to your data. Then, the company provides 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.

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. It offers part-time leadership and consultants for hire. The company’s fractional Chief AI Officers help organizations build AI competency, strategy, and oversee project implementation. One can gain deeper understanding and insights into customer behavior by extracting and aggregating the sentiment in text.

The Leader Upfront

Stephen Straus is the Managing Director of KUNG FU AI. He is a serial entrepreneur. Mr. Straus is a Former General Partner of Austin Ventures. He is a graduate of Colgate University and Harvard Business School.

“We provide services that transform your data into capability to reduce risk, optimize operations, make predictions, and differentiate products with artificial intelligence.”