We built an advanced brand tracker so we could help solve the brand puzzle. More and more brands taking a bigger turn towards brand marketing over performance marketing. Marketplaces are becoming oversaturated and it's becoming harder to become noticed by your target audience. And it is also becoming really, really expensive. This is not a sustainable means of growth. But brand marketing is.
Brands know that if they achieve a high level of brand awareness, it will accelerate into sales further along the line. Most importantly, these brands are aware that an investment into brand awareness is an investment into the long-term growth of their business. But they don't know if this investment is making an impact, or if they would get the same results simply burning their money.
That's why we have developed brand analytics. Brand analytics is for brand managers what Google Analytics is for digital marketers. It provides them with an intuitive dashboard where they can see exactly their level of brand performance with target audiences, campaign impact, and how they fare against their competitors. These accurate insights can be used be brand managers to tailor their marketing for their audiences and improve brand performance - leading to growth and sales. Perfect!
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Based on our record, Apache Airflow seems to be a lot more popular than Latana. While we know about 66 links to Apache Airflow, we've tracked only 1 mention of Latana. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Level 1 of MLOps is when you've put each lifecycle stage and their intefaces in an automated pipeline. The pipeline could be a python or bash script, or it could be a directed acyclic graph run by some orchestration framework like Airflow, dagster or one of the cloud-provider offerings. AI- or data-specific platforms like MLflow, ClearML and dvc also feature pipeline capabilities. - Source: dev.to / 15 days ago
For the third, examples here might be analytics plugins in specialized databases like Clickhouse, data-transformations in places like your ETL pipeline using Airflow or Fivetran, or special integrations in your authentication workflow with Auth0 hooks and rules. - Source: dev.to / 3 months ago
Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The platform features a web-based user interface and a command-line interface for managing and triggering workflows. Source: 7 months ago
Airflow is the most widely used and well-known tool for orchestrating data workflows. It allows for efficient pipeline construction, scheduling, and monitoring. - Source: dev.to / 7 months ago
AIRFLOW This is more of a library in my opinion, but Airflow has become an essential tool for scheduling in my work. All our ML training pipelines are ordered and scheduled with Airflow and it works seamlessly. The dashboard provided is also fantastic! Source: 8 months ago
The company that provided the data for the report is not actually a polling organization. It is a marketing firm whose competency appears to be conducting brand awareness studies. Source: about 3 years ago
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