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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]

California’s Office of Digital Innovation (ODI) informed COVID vaccine response by providing granular insights into sentiment around willingness and hesitancy for California’s Vaccinate All 58 campaign.

Secure your customers’ personal identifiable information (PII) so that you always remain compliant with privacy regulations like GDPR and CCPA.

Syntasa’s Customer Audience Agent lets teams build behavioural audiences in minutes using AI and natural language. It validates against live data, respects governance controls, and delivers activation-ready audiences without technical delays.

Syntasa’s Customer Insights Agent lets teams ask customer data questions in plain English and get real-time answers instantly. It runs in your own cloud, converts language to SQL, and removes reliance on dashboards and data teams for faster, confident decisions.

Traditional CDPs often fall short—delivering slow timelines, bloated systems, and delayed ROI. Syntasa’s Composable CDP changes the game with a warehouse-native, modular platform built to accelerate revenue from day one. This overview shows how leading retailers are using composable architecture to activate customer insights faster, personalize at scale, and drive measurable outcomes—all within their existing data warehouse.

Retail Media Networks (RMNs) are transforming how retailers monetize first-party data—but not all architectures are built to scale. This case study walks through the core decisions retailers must make to design a future-proof RMN. See why a composable, data-centric approach outperforms vendor-heavy models in cost, security, and long-term agility.

Learn how Syntasa helps marketers and analysts build and activate behavioral audience segments at scale—no coding required. See how smarter segmentation drives better results.

The World Bank partnered with Syntasa and Google Cloud to automate how it tracks and analyzes global FinTech innovation. Using Syntasa’s Sentiment Analytics Solution, the team replaced manual research with AI-powered pipelines, real-time dashboards, and multilingual sentiment analysis—all within a secure, private cloud environment.

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