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Archives for January 2024

What’s new in Azure Data, AI, and Digital Applications: Are you ready to go from GenAI experimentation to solutions deployed at scale?

January 31, 2024 by cbn Leave a Comment

What’s new in Azure Data, AI, and Digital Applications: Are you ready to go from GenAI experimentation to solutions deployed at scale?

For many organizations, implementing AI is not an “if” but a “when.” Determining the “when” piece depends on many factors, but one that may be tricky to scope is “when we are ready?.” Is it when your workloads are in the cloud? When your team has the skills? When it’s a good fit for your […]

Filed Under: CLOUD

Advancing application reliability with performance testing in Azure

January 29, 2024 by cbn Leave a Comment

Advancing application reliability with performance testing in Azure

Performance testing is instrumental in ensuring a consistent and reliable user experience. The role of performance testing is pivotal as it assesses an application’s responsiveness, stability, and speed under varying conditions. By simulating different user loads and scenarios, performance testing acts as a proactive measure to identify potential bottlenecks, ensuring that the application can handle […]

Filed Under: CLOUD

Microsoft named a Leader in cloud and applications-centric marketplaces: IDC MarketScape

January 24, 2024 by cbn Leave a Comment

Microsoft named a Leader in cloud and applications-centric marketplaces: IDC MarketScape

With budgets for cloud services expanding and the complexity of infrastructure rising, marketplaces are positioned as the future of B2B commerce. Industry analysts are taking note—most recently IDC published its first-ever IDC MarketScape: Worldwide Cloud and Applications-Centric Marketplaces 2023 Vendor Assessment (doc # US51037123, December 2023). The Microsoft commercial marketplace was named a Leader in […]

Filed Under: CLOUD

Spotify’s Approach to Leverage Recursive Embedding and Clustering to Enhanced Data Explainability

January 19, 2024 by cbn Leave a Comment

Spotify’s Approach to Leverage Recursive Embedding and Clustering to Enhanced Data Explainability

One of the main challenges of any online business is to get actionable insight from their data for decision-making. Spotify shares its methodology and experience to solve this problem by clustering diverse data sets through a unique method involving dimensionality reduction, recursion, and supervised machine learning. By Reza Rahimi

Filed Under: Uncategorized

Shopify’s Approach to Leverage Recursive Embedding and Clustering to Enhanced Data Explainability

January 19, 2024 by cbn Leave a Comment

Shopify’s Approach to Leverage Recursive Embedding and Clustering to Enhanced Data Explainability

One of the main challenges of any online business is to get actionable insight from their data for decision-making. Shopify shares its methodology and experience to solve this problem by clustering diverse data sets through a unique method involving dimensionality reduction, recursion, and supervised machine learning. By Reza Rahimi

Filed Under: Uncategorized

Dynatrace and the Microsoft commercial marketplace: AI-powered cloud transformation

January 17, 2024 by cbn Leave a Comment

Dynatrace and the Microsoft commercial marketplace: AI-powered cloud transformation

In today’s digital landscape, the cloud has become a cornerstone for over 90%1 of organizations. This widespread adoption brings a growing complexity to cloud portfolios as companies navigate the challenges of migrating on-premises environments, managing hybrid workloads, and modernizing their cloud estate—all while operating under current business imperatives of speed and scale. To overcome this, […]

Filed Under: CLOUD

Netflix Creates Incremental Processing Solution Using Maestro and Apache Iceberg

January 15, 2024 by cbn Leave a Comment

Netflix Creates Incremental Processing Solution Using Maestro and Apache Iceberg

Netflix created a new solution for incremental processing in its data platform. The incremental approach reduces the cost of computing resources and execution time significantly as it avoids processing complete datasets. The company used its Maestro workflow engine and Apache Iceberg to improve data freshness and accuracy and plans to provide managed backfill capabilities. By […]

Filed Under: Uncategorized

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