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Dynatrace Extends APM Reach Into Business Analytics

DevOps.com

A growing number of providers of tools widely employed by DevOps teams that are extending their reach into business analytics has been joined by Dynatrace. The post Dynatrace Extends APM Reach Into Business Analytics appeared first on DevOps.com.

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What is data analytics? Analyzing and managing data for decisions

CIO

Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results. In business analytics, this is the purview of business intelligence (BI). Data analytics vs. business analytics.

Analytics 203
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Split.io announces $50M Series D to continue growing feature flag platform

TechCrunch

He says the real power of this approach comes into play when you combine this ability with data like performance data, user behavior data and business analytics to see the impact of a change on the application and users. And that fundamentally changes the way you build and release products,” Bell explained.

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What is business intelligence? Transforming data into business insights

CIO

The potential use cases for BI extend beyond the typical business performance metrics of improved sales and reduced costs. BI vendors Tableau and G2 also offer concrete examples of how organizations might put business intelligence tools to use: A co-op organization could use BI to keep track of member acquisition and retention.

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9 business intelligence certifications to advance your BI career

CIO

With data increasingly vital to business success, business intelligence (BI) continues to grow in importance. With a strong BI strategy and team, organizations can perform the kinds of analysis necessary to help users make data-driven business decisions. SAS Certified Specialist: Visual Business Analytics Specialist.

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Firebolt raises $37M to take on Snowflake, Amazon and Google with a new approach to data warehousing

TechCrunch

At Sisense, these three were coming up against an issue: When you are dealing in terabytes of data, cloud data warehouses were straining to deliver good performance to power its analytics and other tools, and the only way to potentially continue to mitigate that was by piling on more cloud capacity.

Data 253
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Best practices and lessons for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock

AWS Machine Learning - AI

Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI , allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. This process involves updating the model’s weights to improve its performance on targeted applications. Sonnet across various tasks.