Tickr AI Research & Engineering

Research

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Tickr’s AI and Data Science teams are pushing the boundaries of artificial intelligence and machine learning, with a focus on large language models, time series analysis, natural language processing, retrieval augmented generation, causal inference, pricing, and distributed systems. Join us and check in regularly for the latest discoveries.

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Distributed Workflows at Scale
Queues are a pattern that have been used at Tickr since the early days of the company. Much of the work we do at Tickr is in the background: data retrieval, alerting, processing incoming webhooks, and many more activities that don't follow the typical request-response pattern found in many typical applications.
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Predicting the Impact of Marketing Campaigns with Artificial Intelligence
Tickr’s Marketing Causal Impact Analysis uses state-of-the-art machine learning to extract the true effect of a marketing campaign on sales, ROI, or any business metric relevant to our customers. This empowers them to make confident and better marketing decisions that lead to increased sales or ROI
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Transaction Data with TimescaleDB
Time series data forms a critical component of business analytics, and in our pursuit of efficiency, we chose to evaluate TimescaleDB.
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The Impact of Temperature on the Performance of Large Language Model Systems and Business Applications
In today’s data-driven world, businesses are increasingly turning to advanced technologies to gain a competitive edge. Large language models (”LLMs”) have emerged as a game-changer, enabling businesses to have intelligent conversations with data and extract valuable insights.
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Tickr AI Research & Engineering

Research

Blog

Our Authors

Distributed Workflows at Scale

Predicting the Impact of Marketing Campaigns with Artificial Intelligence

Transaction Data with TimescaleDB

The Impact of Temperature on the Performance of Large Language Model Systems and Business Applications