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Christopher Berry
COO, Source Inc.
Professional Background
Christopher Berry is a notable figure in the field of Artificial Intelligence, contributing significantly to various organizations and initiatives. With a robust career spanning decades, he has held several influential positions in marketing science, product intelligence, and data science. Christopher's expertise in these areas has enabled him to guide organizations in harnessing the power of data analytics and artificial intelligence to drive innovation and efficiency.
He has served as the Chief Operating Officer (COO) at Source Inc., where he oversaw operations and strategic initiatives. His leadership capabilities were further evidenced during his tenure as Data Scientist in Residence at 500px, where he applied his deep analytical skills to solve complex problems in image analysis and processing. As the Director of Product Intelligence at CBC/Radio-Canada, Christopher directed efforts to leverage data for improving viewer engagement and content relevance. His role as Co-Founder and Chief Science Officer at Authintic underscores his entrepreneurial spirit and commitment to pioneering advancements in data science.
Before these roles, Christopher contributed to marketing science as Vice President at Syncapse and as Group Director at Critical Mass, enhancing his organizations' capabilities in understanding consumer behavior and optimizing marketing strategies. His earlier experiences include positions as a researcher and teaching assistant at CNC Global and the University of Calgary, where he cultivated his passion for academic research and data-driven strategies.
Education and Achievements
Christopher Berry earned a Master’s degree in Political Science from the University of Calgary, where he developed analytical writing and critical thinking skills. This academic foundation laid the groundwork for his successful career in data analytics and artificial intelligence analysis. His involvement in the ISO/IEC JTC 1/SC 42 – a technical committee focused on standardization in Artificial Intelligence – highlights his commitment to advancing AI standards and practices at a global level.
His active membership in INFORMS, a renowned organization of operations research and analytics professionals, further demonstrates his dedication to the field. As the former chair of the Digital Analytics Association's Research Committee, he played a vital role in steering research initiatives that shape the future of digital analytics. His organizing efforts for Machine Intelligence Toronto from 2010 to 2020 provided a platform for professionals and enthusiasts to collaborate, share knowledge, and foster innovation in the AI community.
Achievements
Highlights of Christopher's career encompass a wide array of accomplishments and contributions to artificial intelligence, data science, and analytics. His leadership roles in various organizations exhibit his capability to drive teams toward achieving strategic goals and embracing innovative approaches in tackling data challenges. Christopher's participation in global-standardization efforts in AI showcases his passion for making meaningful contributions to the field, ensuring that best practices are followed industry-wide.
His educational background in Political Science provides a unique perspective to his work, merging social science insights with data analytics to inform decision-making processes in technology. Christopher has been a pivotal player in different organizations, deftly transitioning from research and academic roles to leadership in technology and analytics, demonstrating versatility and a lifelong commitment to learning and growth.
Through his remarkable engagements, Christopher Berry has made significant strides in advancing the understanding and practical applications of artificial intelligence and data analytics. His work continues to inspire others in the industry, as he leads initiatives to bridge the gap between technology and meaningful societal impact.
Highlights
So Gil Peleg taught me the word coopetition at #AOM2024, with a useful insight for non-profit executive directors, and, maybe...a use to decentralized leadership?
Gil researches marketing. In marketing, we know something about how most of you make new buying decisions. We know you do it in two stages, from the general category to the specific brand. You know you do. First we decide if we're doing vegan or steak, and then we decide if it's PAI or if we're going to sit with the lawyers at Planta again. Right?
Gil makes his own quantitative data. Some of you have used conjoint analysis. You pay a bunch of people to be tortured with questions about what they'll choose over and over and over again. Would you pay for a salad with 50g of almonds and 30g of cashews for $27.99, or one with 100g of cashews and lettuce sourced from a non-TFW farm thirty klicks outside the most beautiful greenhouse near a natural spring just outside Brock, Ontario for $34.99? And then you're asked for different combinations again and again and again. We got decades of research that back up how consumers weigh options, and make choices. We're predictable.
Instead of applying the theory and tool to things we buy, Gil applied it to causes and charities. And he found that donors behave like consumers in how they think about similarities: from the general to the specific. We didn't have proof of that before.
Non-profit leaders may find it interesting because it opens up new choices. What if instead of competing at the cause level, we cooperated? And then, we'd tell stories, create positions that are different from our peers at that second level. What new relationships could be negotiated? Perhaps, imagine ways to ... assist leaders thinking about cheating to choose otherwise. It's a different set of levers that's only interesting to the extent you can imagine? Could only certain kinds of leaders be able to participate long enough that there'd be stability in the coalition?
We like to talk about ecosystems in decentralized communities, don't we? Could coopetition be useful for writing some better upcode? Can we design a better system for an actual, real, defined goal? Can it work? What do you think?
I can't wait to see this in print.
Reach out to Gil if you're curious -- he's friendly to practitioners and likes executive directors. https://lnkd.in/gmFe95tZ
Thanks Gil!
From Policy Horizons Canada "Disruptions on the Horizon 2024" report:
Source in comments.
