LLM Assisted Segmentation for Games
databricks
SEPTEMBER 6, 2024
Segmentation projects are the cornerstone of personalization in games. Personalization of the player experience helps maximize player engagement, mitigate churn and increase player.
databricks
SEPTEMBER 6, 2024
Segmentation projects are the cornerstone of personalization in games. Personalization of the player experience helps maximize player engagement, mitigate churn and increase player.
ArcGIS
SEPTEMBER 6, 2024
Learn more about how to use response caching for hosted feature services in ArcGIS Enterprise.
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databricks
SEPTEMBER 6, 2024
Explore being a PM intern at a technical powerhouse like Databricks, learning how to advance data ingestion tools to drive efficiency.
Precisely
SEPTEMBER 6, 2024
How compliant is your organization with the GDPR (General Data Protection Regulation) requirements that keep personal data only as long as needed for the purpose it was collected? How easily could you prove your compliance if audited? GDPR states that personal data must not be kept longer than the purpose for which it was collected and processed.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
KDnuggets
SEPTEMBER 6, 2024
A beginner's guide to A/B testing by FAANG data scientists.
Ascend.io
SEPTEMBER 6, 2024
AI-driven data quality workflows deploy machine learning to automate data cleansing, detect anomalies, and validate data. Integrating AI into data workflows ensures reliable data and enables smarter business decisions. Data quality is the backbone of successful data engineering projects. Poor data quality can lead to costly errors, misinformed decisions, and ultimately, a significant economic impact.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Monte Carlo
SEPTEMBER 6, 2024
I’ve spoken with dozens of enterprise data professionals, and one of the most common data quality questions is, “who does what?” This is quickly followed by, “why and how?” There is a reason for this. Data quality is like a relay race. The success of each leg —detection, triage, resolution, and measurement—depends on the other. Every time the baton is passed, the chances of failure skyrocket.
Hevo
SEPTEMBER 6, 2024
Did you know that Netflix is one of the biggest clients for AWS? They did not just push a button when they shifted their entire data infrastructure. It took them seven years to complete the entire migration and ensure that every piece of data moved securely and perfectly into the new system.
Hevo
SEPTEMBER 6, 2024
Building an efficient data stack that can handle big data is no small feat, whether due to growing data demands or operational costs. A modern data stack solves these problems by automating and streamlining many data tasks, from sourcing to transformation.
Hevo
SEPTEMBER 6, 2024
Building an efficient data stack that can handle big data is no small feat, whether due to growing data demands or operational costs. A modern data stack solves these problems by automating and streamlining many data tasks, from sourcing to transformation.
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
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