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LLMs Demand Observability-Driven Development

Honeycomb

Our industry is in the early days of an explosion in software using LLMs, as well as (separately, but relatedly) a revolution in how engineers write and run code, thanks to generative AI. Some of these things are related to cost/benefit tradeoffs, but most are about weak telemetry, instrumentation, and tooling. Sound at all familiar?

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AES enlists AI to boost its sustainable energy business

CIO

The project, dubbed Farseer AI Generation Forecasting and Market Automation Program, was developed by a handful of AES data scientists in partnership with Google. Not bad for a sustainability initiative designed to reduce the $12.7B we get the data to the commercial operations team.” million in its first year, contributed a $5.5

Energy 296
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NET MAUI vs Flutter: How to Choose?

Existek

Cross-platform development is more critical now than ever, with customers expecting the tools they use to work across various devices. Whereas development teams need to focus on finding the best technology to implement such solutions. List of the Content.NET MAUI vs Flutter: market trends What is.NET MAUI, and how to use it?

.Net 59
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The Good and the Bad of Apache Kafka Streaming Platform

Altexsoft

After trying all options existing on the market — from messaging systems to ETL tools — in-house data engineers decided to design a totally new solution for metrics monitoring and user activity tracking which would handle billions of messages a day. What does the high-performance data project have to do with the real Franz Kafka’s heritage?

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12 famous ERP disasters, dustups and disappointments

CIO

However, the measure of success has been historically at odds with the number of projects said to be overrunning or underperforming, as Panorama has noted that organizations have lowered their standards of success. million year-on-year drop in gross profit for the quarter following the go-live was primarily due to the ERP problem.

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What the midterm madness means for startups

TechCrunch

election cycle has become, the outcome always has major implications for the tech industry. Sanctions, alongside supply chain constraints and inflation, threaten to depress the stateside chipmaking industry — one chip machine firm, Lam Research, has already predicted losses up to $2.5 As loathsome and distressing as the U.S.

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Better, faster decisions: Why businesses thrive on real-time data

CIO

But poor data quality, siloed data, entrenched processes, and cultural resistance often present roadblocks to using data to speed up decision making and innovation. Strategically, with meaningful real-time data, systemic issues are easier to identify, portfolio decisions faster to make, and performance easier to evaluate.

Data 269