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Taming dragons: A breakthrough approach to AI for business leaders

Beth Partridge (milk+honey), Nick Paquin (milk+honey), Annie O'Connor (milk+honey)
1:30pm–5:00pm Wednesday, September 5, 2018
AI Business Summit, AI in the Enterprise
Location: Yosemite ABC Level: Beginner
Secondary topics:  AI in the Enterprise

Who is this presentation for?

  • C-level executives and strategic decision makers

Prerequisite knowledge

  • A clear understanding of your key business goals

What you'll learn

  • Learn a breakthrough approach for implementing enterprise AI in the language of business

Description

For many legacy companies, simply getting started is one of the hardest things about integrating enterprise AI (EAI). Business leaders struggle to find the right entry point to introduce AI technologies, and they are understandably frustrated when the promised benefits of EAI don’t materialize.

Beth Partridge, assisted by Nick Paquin and Annie O’Connor, shares a breakthrough approach to decoding machine learning opportunities, based on embracing EAI as a core competency. Through lectures and hands-on activities in breakout groups, you’ll gain a clear understanding of what AI can do for your business and how to go about implementing it.

Outline:

EAI as a core competency

  • Learn why one-off projects and MLaaS (machine-learning-as-a-service) models are insufficient and potentially counterproductive approaches to AI integration
  • Understand why AI is a fundamental capability that can and should be applied across all functions of your organization

Machine learning applications

  • Learn the three basic outputs that the majority of machine learning models used in enterprise AI deliver (and which every business leader already understands and uses)
  • Begin to formulate a strategic adoption plan for your business based on your new-found knowledge and a focus on ROI

Staffing for data science

  • Discover why scarcity of data science resources may not be the roadblock you think it is
  • Explore the varying skills required at different phases of the machine learning development process
  • Learn a team approach to economize the hardest-to-find skill sets while cultivating talent from within
Photo of Beth Partridge

Beth Partridge

milk+honey

Beth Partridge is founder, CEO, and chief data scientist at milk+honey, a company born from her hard-won understanding that success in business now requires a deep commitment to data-driven decision making and development of a culture of experimentation and innovation at all levels of an organization. Beth is that rare executive with a powerhouse combination of natural leadership, deep technical experience, and impeccable execution skills. She is filled with excitement about the data revolution and the profound transformation that’s upon us. Beth has nearly 30 years of executive-level experience in manufacturing, product engineering, quality control, technical support, and operations. She holds a BS in electrical engineering and a master of information and data science from UC Berkeley.

Photo of Nick Paquin

Nick Paquin

milk+honey

Finding, attracting, placing, and developing the next generation of technology and IT professionals requires something other than the scattershot approach to professional matchmaking that drives most outsourced recruitment efforts. As workforce enablement director at milk+honey, Nick Paquin augments best practices in recruitment and relationship management with milk+honey’s proprietary skills matrix to ensure eligible candidates possess the skills, professional understanding, and personality to carry out and complete machine learning projects for milk+honey’s clients.

Photo of Annie O'Connor

Annie O'Connor

milk+honey

Annie O’Connor is chief client officer at milk+honey, where she draws on her ability to connect with senior leaders and front-line workers alike to act as a point of contact throughout a client’s engagement with the company. Annie’s experience leading enterprise transformation initiatives for some of the world’s largest commercial and philanthropic organizations leaves her exceptionally well qualified to identify and shape AI-related business strategy, while her formal training in gender studies and international relations imbues her natural optimism with healthy doses of pragmatism and a truly global perspective. Living and working in some of the most challenging environments for business has taught her how to simultaneously communicate change and advocate for those most affected by it.

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