Tuesday, April 17, 2018
6:00 pm-9:00 pm Welcome Reception
Santa Clara Marriott
2700 Mission College Boulevard
Santa Clara, CA 95054
wednesday, April 18, 2018
8:00 am-5:00 pm Analytics Symposium
5:00 pm-6:00 pm Happy Hour
Moderated by Bill Franks, IIA Chief Analytics Officer
Santa Clara Marriott
2700 Mission College Boulevard
Santa Clara, CA 95054
8:00 am - Breakfast, Networking, Registration
8:40 am - Welcome
Jack Phillips, CEO, IIA
Jack will welcome attendees and review the key themes, speakers, and guests for the day.
9:05 am - Data Science and Critical Thinking
Alistair Croll, Thought Leader
The right data, analyzed properly, and acted on wisely, can transform an organization. But the devil's in the details: How do we know the data is valid? How should we analyze it? What's legally and morally allowed? And how do we ensure that our analytics turn into business outcomes? The path from data to result is full of potholes, from cognitive bias and bad modeling to unintended consequences and market reactions. In a world awash with data, critical thinking is a vital, often-overlooked skill.In this talk, best-selling author of Lean Analytics and Harvard Business School visiting executive Alistair Croll looks at how to approach data with a critical mindset. Drawing from work with global corporations, early-stage startups, and public organizations, he'll explore how analytics teams can make the most of data while steering clear of biases and ethical quandaries.
9:50 am - Data & Analytics – Enabling Nike’s Digital Transformation
Gus Weber, VP of Analytics, Nike
How does Nike use advanced analytics to drive new growth and bring inspiration and innovation to every athlete* in the world? This talk jumps into the role of analytics in digital transformation and the Nike Consumer Direct Offense – a new company formation that allows Nike to serve the consumer faster and more personally, at scale. Gus leads the enterprise-wide technology strategy for data and analytics to ensure that Nike maximizes the power of data as a competitive advantage. This includes investments in personalization that leverage machine learning to curate assortments and advancing the role that product plays in unlocking experiences. Partnering, experimenting and fast tracking the greatest opportunities are key to success – envision a future where athletes seamlessly engage through digitally connected products to inform product innovation design, global manufacturing and distribution. Data is the new voice of the athlete. *If you have a body, you are an athlete.
10:30 am - Networking Break
10:50 am - Deploying AI in Mobile-First Consumer-Facing Financial Products - A Tale of Two Cycles
Jike Chong, Chief Data Scientist, Acorns
What opportunities does anytime, anywhere access of financial services on mobile devices enable? How can we use AI to capture these opportunities to create better financial services for everyone? This talk dives into AI in the context of two fundamental business cycles in financial services: the intelligent acquisition of customers, and the intelligent sustaining of customer relationships. These two business cycles can be broadly applied to a variety of traditionally off-line service industries. Six areas of opportunities will be highlighted where AI technologies are being readily deployed today.
11:35 pm - Differentiating Via Data Science
Eric Colson, Chief Algorithm Officer, Stitch Fix
Companies employ various means of differentiation in order to gain a competitive advantage in the market. Traditional differentiators include network economies, branding, economies of scale, and so on. But the availability of data and compute resources, combined with the emergence of new business models, have enabled data science to become a strategic differentiator. Eric Colson explores what it means to differentiate by data science and explains why companies must now think very differently about the role and placement of data science in the organization. The traditional organization needs to be changed if a company is to differentiate via data science. Data science needs to be a top-level department reporting to the CEO. Further, it needs a completely different workflow. It can’t thrive with top-down requirements or if it is forced to submit to upfront ROI calculations. Data science needs more fluidity, more experimentation, and more iteration.
12:20 pm - Lunch
1:20 pm - Applications of AI: The VC Perspective
Joanne Chen, Partner, Foundation Capital
There's a lot of recent hype around AI and much discussion about what we can expect from these emerging technologies in the next decade. While some fear of the technology's power, others see it as an opportunity to improve business and even entire industries. As an investor involved in the space, Joanne will share her insights on the enterprise AI landscape, including the critical elements of any startup’s AI strategy, sift through what is hype and what isn’t, and share the most promising business applications of AI. Joanne will also zoom in on conversational AI, sharing examples of chatbots in the real world, the market evolution of the technology, and the implications for your business.
2:05 pm - Who thought Domino’s Could be a Disruptor?
Julia Oswald, SVP Strategy and Insights, Domino's
How has Domino’s become such a dominating force in the Quick Serve Industry? This presentation will share the key drivers of this success. Our broad strategy is to be a part of the disruption. We have three key tenants to achieve this strategy.
1) Craft food that we are proud of, 2) Drive growth in the carryout business and 3) Aggressively innovate and invest in digital and in-house analytics. The progression of our Strategy and Insights department has been a crucial element across all three tenants of our strategy. While we can’t share our secret sauce, we can talk about some of our philosophies and some of the details about how we have and will continue to be a disruptor in the category.
2:45 pm - Networking Break
3:05 pm - The “Last Mile”: Keys to Successfully Embedding Analytics in Core Organizational Processes
Blake Johnson, Adjunct Professor, Stanford Department of Science & Engineering and Entrepreneur
The critical capability for analytics organizations today is the ability to seamlessly integrate analytics into high-value, large-scale organizational processes. This “last mile” to major business impact depends on two cross-functional “bridging” capabilities: 1) establishing leadership by senior business executives, who are the only people capable of driving change in core organizational processes, and 2) carefully designing analytics so that they can be “embedded” into current organizational processes and IT systems, which is required for them to be executable at scale. Blake will describe best practices for establishing these capabilities identified in a recently completed two-year study, and the rapid scaling of analytics business impact they make possible.
3:50 pm - Scaling Analytics at Instacart
Che Horder, Director of Analytics, Instacart
The Data & Analytics team at Instacart is responsible for delivering meaningful analyses that impact the decisions we make as a company. The team is at the center of an extremely data-driven company culture and there is nothing more important to the team than helping the company learn and make great data-driven decisions. We found that over time we accumulated chronic issues or obstacles in our environment that were hampering our ability to scale and deliver on our mission. These obstacles were monopolizing our time and reducing our capacity to focus and be productive on our core mission. I'd like to reveal 1) what our obstacles were, 2) why it is was critical to address them, and 3) how we have removed them.
4:35 - Closing Remarks
Bill Franks, CAO, IIA
5:00 pm - Happy Hour