Congratulations to the 2018 IAB Data Rock Stars! The IAB Data Center of Excellence celebrates top industry leaders and practitioners who have demonstrated achievement in data science or technology.
Product Visionary, Product Management, Data Scientist
Arthur conceives and builds products based on data science, statistical reasoning and machine learning. As head of Acxiom’s research division, he was responsible for a series of groundbreaking new products that were seen as instrumental in Acxiom and LiveRamp’s business.
Most immediately and significantly, Arthur launched and managed a 26-company open source project called PrivacyChain, which allows companies to track consumer opt-in consents through a data supply chain using blockchain technology. This projected was done in collaboration with IAB.
Other recent, and significant successes:
1) Development of two blockchain products used for anonymization and consumer privacy
2) Development of a series of advanced machine learning API’s and services that underlie all Acxiom data exchanges
3) Development of an artificially intelligent assistant to assist in Acxiom’s data sales and other internal processes
4) Developed new data fingerprinting technologies with eleven patents pending
Jessica is leading a team of strategists who help CPG clients formulate precision marketing plans, and understand how data can be used to inform not just targeting but creative optimization and consumer insights. The clients that Jessica works with are applying these data-driven playbooks in the US and EU.
Jessica has brought the voice of client feedback to apply our data assets & technology to support client use cases – both in terms of consumer segmentation and activation. She consults with client & agency teams to guide how data will be used within campaign dashboards, client-side BI environments.
Customer data, insights, identity and privacy regulation (GDPR), machine learning and AI, ad tech platforms and products, programmatic/RTB, cross-device/mobile, native content, online video, and distribution.
High-performing, high-energy senior executive with proven ability to create growth in emerging media and technologies. Adroit at identifying, shaping, and leading change, while building high achieving, flexible teams for scale. Successfully launched over a dozen new products, repositioned, and re-energized three established companies.
An active member of the IAB Data Council.
Creating predictive algorithms with machine learning techniques. Said in plain English, he oversees creating new audiences that show where visitors are likely to be seen in the future, derived from opted-in mobile location data.Creating predictive algorithms with machine learning techniques. Said in plain English, he oversees creating new audiences that show where visitors are likely to be seen in the future, derived from opted-in mobile location data.
John takes a methodical approach to his problem solving. He knows which elements need to be pulled in at each stage in the evaluation cycle, and which people to work with, even if the end outcome is still unknown. It’s this ability to navigate uncertainty in an industry that demands certainty that makes John an invaluable asset to our team.John takes a methodical approach to his problem solving. He knows which elements need to be pulled in at each stage in the evaluation cycle, and which people to work with, even if the end outcome is still unknown. It’s this ability to navigate uncertainty in an industry that demands certainty that makes John an invaluable asset to our team.
John’s contributions help position us very strategically against our peers and competitors. We’re building products that customers want, and that no one else has at the moment. This ability to think months and years ahead gives us a sustainable advantage over time.
David is a thought leader in the area of data quality and applies this expertise to his work as Lotame’s Vice President of Data Acquisition and Operations, where he leads a team of experienced data professionals committed to procuring and providing partners with the highest quality data. As an active IAB member, David served as a contributor to the IAB’s 2016 Data Maturity Model and currently serves as co-chairman of the IAB Data Transparency Working Group.
Under David’s direction, Lotame delivers an end-to-end solution for the generation of high-quality data. It screens prospective providers before agreeing to distribute their data and evaluates data it receives from providers on an ongoing basis. Criteria include: Entity, Collection Methodology, Source, Derivation, and Modality. Lotame created and follows a rigorous process for data ingestion, categorization, and validation.
David’s work has led to Lotame’s introduction of Lotame Precision Audiences — data segments that exceed industry on-target benchmarks and improve targeting, insights, and analytics. First-to-market from this line are Precision Demographic Audiences, now widely available in DSPs. The segments are created with Lotame’s proprietary curation and verification process. The audiences are offered at scale across major countries worldwide.
As a member of the IAB Data Council, David contributed to IAB’s July 2016 “Data Maturity Model for Digital Advertising” — a framework for companies in the data ecosystem to assess their competence across the data life cycle — collect, process, and activate.
Today, David co-chairs the IAB Data Transparency Working Group, which is developing a framework for the data supply chain including a labeling system, audience taxonomy, API, and compliance program.
She draws data in from a 12-petabyte data repository that includes information collected from 120 billion online ad decisions every day and works on our automated decision process. Our process conducts 2.2 million decisions on ad placements every second for our clients. Amanda analyzes this data and provides intelligent procedures, algorithms and models that makes the decision-making process smarter.
Amanda has become fluent in advanced machine learning by identifying online ad characteristics and predicting the most viewable available inventory for our clients. She has developed her skills along the four pillars of data science (Data Wrangling, Machine Learning, Productionization, and Business Strategy). In her short career she first learned the strategic value of how her work can be used, then the tricks for handling, analyzing and understanding big data, modeling key characteristics of placements and consumers, and finally, she shepherded the deployment of her work into production.
Amanda changed the way the entire company sees viewability as media transparency rather than just another KPI to optimize. Due to the data modeling and machine learning that Amanda performed, the company now raises the bar on industry standards by serving only ad opportunities that are predicted to have more than 70% viewability using the IAB Viewability standard. She increased our systemwide viewability average from 58% to 76% across all clients. She also has been able to dispel the notion that viewability comes at the cost of other KPIs. Using Amanda’s models, we can predict the daily viewability of our campaigns to within 5% of the third-party vendor being used for the campaign.
Paloma is a key member of a data strategy team that takes a data agnostic approach to solving client and business challenges. Within this ecosystem, Paloma has cultivated a strong skill set in the area of consumer insights. Relying on various tools and rigorous data mining techniques (i.e. custom research, trends data, social intelligence, proprietary tools etc.), she uses data insights to paint a holistic story of today’s consumer and the evolving marketplace. Through this approach, Paloma seeks to unlock the motivations behind consumers behavior to enhance a client’s ability to reach their desired audience in a more meaningful and impactful way.
Paloma’s foresight in data has been demonstrated by her ability to marry culture and data to unearth the “WHY”. Remaining in tune with culture and utilizing data to substantiate what is happening has led Paloma to find her voice within the marketplace. Her skill of extracting and synthesizing insights from various sources allows her to bring a multi-dimensional picture of audiences. Paloma has independently and proactively created a semi-annual work stream called “culturePulse” which demonstrates her potential as a dynamic thought leader.
This workstream is founded on the insight that cultural norms and technological behaviors are first adapted or created by ‘micro-audiences’. These tribes influence society in such a profound manner that they create the groundswell that takes a trend from niche to mass. Her approach to data storytelling has brought forth vivid stories that humanize consumers.
Paloma has made countless contributions to her team, organization and the industry. By taking an innovative approach to data analysis through “culturePulse,” Paloma has helped her team generate positive attention and measurable impact among U.S. clients and agency partners. Impressively, her work has been shared globally within WPP and has garnered intrigue by teams in offices outside the U.S. who are interested in bringing a similar work stream to their clients to highlight agency value.
As an active member of WPP’s P70 Data Alliance, she works alongside other members of the data council to bring the best knowledge and resources to the company on a global scale. Paloma’s ability to cultivate relationships within the organization and with its data partners has elevated WPP’s data infrastructure.
Her contribution to the industry through its future talent is the work Paloma is most proud of. As a first-generation Latina working in corporate America, Paloma is acutely aware that her story becomes increasingly important to those who may not have had previous exposure to others in the marketing and advertising industry. Her story of going from ‘intern to hire’ has been inspirational for other young people who are looking for guidance within marketing and advertising, and often don’t see themselves reflected.