Applied AI Outcomes
Solution Exploration Workshop
Data Kinetic's AI Application Acceleration Program is designed to foster collaboration between Data Kinetic data scientists, AI engineers, and AI teams and senior leadership in industry.
This program aims to address challenges within the sector by using an Applied AI design thinking approach to develop cutting-edge AI applications.
By building on the collaborative expertise of participants, the program strives to create solutions that improve efficiency, reduce environmental impact, and drive industry growth.
Duration: 90 minutes
Objective: Facilitate collaboration and sharing of insights and best practices between industry data science teams, and Data Kinetic's team of advanced Applied AI data scientists and AI engineers, with the aim of creating a roadmap document and recommendations for supporting technology and techniques.
- Welcome and Introduction (5 minutes)
- Brief introduction of participants and their roles
- Objective and expected outcome of the session
- Overview of Current Industry Landscape (10 minutes)
- Presentation of current challenges and opportunities your organization
- Discussion of emerging trends and technologies in applied AI for the industry
- Sharing of Best Practices and Insights (20 minutes)
- Organizational data science teams share their experiences and success stories
- Data Kinetic's team shares their expertise and insights on applied AI technologies
- Q&A and interactive discussion
- Breakout Sessions (30 minutes) [Option to run as one team available]
- Divide participants into smaller groups to brainstorm AI applications relevant to their respective domains
- Discuss potential use cases, benefits, and challenges associated with the proposed AI applications
- Encourage collaboration and cross-fertilization of ideas between teams
- Break (5 minutes)
- Breakout Session Presentations (15 minutes)
- Each group presents a summary of their discussions, including potential AI applications, benefits, and challenges
- Q&A and feedback from other participants
- Consolidate and summarize the findings from the session
- Outline a roadmap document and recommendations for technology and methodologies
- Roadmap Document and Recommendations (5 minutes)
- Closing Remarks and Next Steps (5 minutes)
The Solution Exploration Workshop is a brainstorming and collaboration session offering a structured and engaging approach to facilitate knowledge sharing and cross-industry collaboration.
Our format is designed for an open dialogue between data science teams and Data Kinetic's Applied AI data scientists and AI engineers. Participants can leverage diverse perspectives, experiences, and expertise to drive innovation and identify novel solutions to complex industry challenges. This approach not only accelerates the development and implementation of AI technologies, but also fosters a culture of continuous learning and improvement, enabling teams to stay ahead of emerging trends and capitalize on new opportunities in the rapidly evolving AI/ML landscape.
These sessions empower participants to identify and explore potential AI applications, benefits, and challenges, while also promoting synergies between different domains and expertise areas. By consolidating the outcomes of these sessions into a comprehensive roadmap document, the collaborative process culminates in a clear, actionable plan that guides future work, ensuring that the insights and best practices shared during the session are effectively translated into meaningful impact for your industry.