Attribution of media spend is a common problem shared by people in many different roles and industries. Many of the solutions that are simplest and easiest to implement don’t drive the right behavior. Tushar Mukherjee (Head of Ecommerce Analytics at Lenovo) shares practical lessons learned developing and applying multivariate attribution models at Lenovo.
[Recording from Strata Data Conference 2019]
In the latest instalment of the FinML meet-up we welcomed Apoorv Kashyap and Charmee Patel to discuss how to use digital behavioural data in ML-applications.
[Recording from FinML meet-up]
The state of the art in productionizing machine Learning models today primarily addresses building RESTful APIs. In the Digital Ecosystem, RESTful APIs are a necessary, but not sufficient, part of the complete solution for productionizing ML models.
[Recording from Spark + AI Summit 2019 Europe]
The California Office of Digital Innovation (ODI) supported the state’s COVID vaccine response with analytics that estimated vaccine hesitancy and guided the advertising strategy and allocation of the vaccine.
To understand your audience, it’s vital to have a complete view of the entire customer journey. However, when an organization fails to integrate all of its data, it’s robbing itself of the knowledge needed to achieve this and be successful digital marketers.
[Recording from Adobe Summit 2017]
Striking the balance between digital optimisation with siloed context and unleashing the powers of blended CRM and wider enterprise data can be a nightmare. Enter the ‘buy vs. build’ decisions to avoid black box 3rd party solutions.
[Recording from Adobe Summit 2018]
A leading electronics retailer in the UK and Ireland partnered with Syntasa to transform its marketing and data operations amid increasing privacy regulations and rising customer expectations. By implementing Syntasa’s Composable CDP within its Google Cloud Platform environment, the retailer unlocked real-time insights, streamlined audience targeting, and activated AI-driven personalization—resulting in more than £100M in attributable revenue gains.
A global airline used Syntasa’s Composable CDP to unify loyalty, CRM, and behavioral data, enabling real-time identity resolution, predictive modeling, and automated audience activation. The result: improved ad performance, scalable personalization, and faster model deployment.
This resource introduces a Customer Data NL2SQL agent that translates natural language questions into SQL queries using AI. It enables business users to access complex customer insights without needing SQL expertise, while maintaining transparency and governance for technical teams.
This resource introduces a Customer Data NL2SQL agent that translates natural language questions into SQL queries using AI. It enables business users to access complex customer insights without needing SQL expertise, while maintaining transparency and governance for technical teams.
A state transportation agency used Syntasa’s Behavioral Sentiment Analytics to surface underserved communities and inform more equitable transportation planning through AI-powered insights.
Syntasa’s Speech-to-Text Solution converts audio into text, detects language, translates non-English text, and summarizes content with advanced machine learning. It integrates with Spark for efficient processing and automated monitoring. The solution includes sentiment and topic analysis, and real-time dashboards for easy tracking and visualization, providing deeper insights for data analysts.
