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Agile Machine Learning

The future of software is being driven by intelligent applications. By the year 2020, more than 85% of customer-to-business interactions will be carried out without humans (Gartner). 81% of IT leaders are already investing or plan to invest in artificial technology solutions.

In regards to rapid development, rapid response feedback loops, and continuous improvement, ML projects are well suited for Agile methodologies. However, there are some considerations for successfully using AI and machine learning for agile development, such as:

  1. Sprint Planning – Breakdown and define agile experiments to support rapid iteration and deliver incremental value.
  2. Rapid Iteration – Create data-driven feedback loops for research and production environments
  3. Agile Team Roles – Expand development team roles to include engineers, data scientists as well as Subject Matter Experts

This presentation covers best practices for successfully integrating agile development cycles with machine learning workflows.

Learning Outcomes:

  • Best practices for successfully integrating agile development cycles with machine learning workflows, including considerations for:
  • Sprint Planning – Breakdown and define agile experiments to support rapid iteration and deliver incremental value.
  • Rapid Iteration – Create data-driven feedback loops for research and production environments
  • Agile Team Roles – Expand development team roles to include engineers, data scientists as well as Subject Matter Experts.

Kishau Rogers

Kishau Rogers is an award-winning technology entrepreneur specializing in wrangling complexity using computer science, systems thinking, creativity, and common sense. She is the Founder & CEO of Time Study, Inc., a high-growth startup offering solutions for using machine learning, advanced natural language processing, and data science to automatically tell a story of how enterprise employees spend their time and its impact on the areas that matter. As the Founder and CEO of Time Study, Kishau is one of the first Black women in Virginia to raise millions in venture capital to scale her tech startup. She is also the owner of Websmith Studio and the editor of the bigThinking project, a resource for promoting the principles of systems thinking.

Kishau’s work is featured in Forbes, The Wall Street Journal, Entrepreneur, and Black Enterprise. In addition, she is a recipient of many awards, including the VCU Distinguished Alumni (in Computer Science), NAWBO Wells Fargo STEM award, the Lyn McDermid Community Impact Award, and the MBL Entrepreneur of the Year Award.

In her commitment to using technology as a tool for social good, she also serves as an advisor to organizations and initiatives like AI for Afrika, Think Of Us, WAAW Foundation, Level Up Ventures, Virginia Commonwealth University Department of Computer Science, the first U.S. White House Hackathon for Foster Care and SheHacks Africa, a software engineering intensive providing training to women & girls across Africa.

She holds a Computer Science degree and has over twenty-five years of experience in the technology industry and more than 15 years of entrepreneurial leadership.

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