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Escaping POC Purgatory: Evaluation-Driven Development for AI Systems

O'Reilly on Data

Two big things: They bring the messiness of the real world into your system through unstructured data. The coordination tax: LLM outputs are often evaluated by nontechnical stakeholders (legal, brand, support) not just for functionality, but for tone, appropriateness, and risk. What makes LLM applications so different?

Testing 174
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Predictive Analytics Improves Trading Decisions as Euro Rebounds

Smart Data Collective

Predictive analytics tools can be particularly valuable during periods of economic uncertainty. Predictive Analytics Helps Traders Deal with Market Uncertainty. However, predictive analytics will probably be even more important as global uncertainty is higher than ever. Analytics Vidhya, Neptune.AI

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The genAI opportunity: From ‘data to insight’ to ‘context to action’

CIO Business Intelligence

There’s a constant risk of data science projects failing by (for example) arriving at an insight that managers already figured out by hook or by crook—or correctly finding an insight that isn’t a business priority. But this makes the process much slower by comparison.

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Powering the future: How Gen AI and AI illuminate utility companies

CIO Business Intelligence

While international conflict, economic uncertainty and climate change are affecting businesses of all kinds, energy companies and utilities are also dealing with aging infrastructure, constant cyberattacks, increased regulation and rising customer expectations. Meeting all these requirements places a tremendous burden on energy companies.

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Covid Data: An anomalous blip, or the new normal?

Cloudera

These include the use of more data sources to gain insights and how cloud technologies can assist with digital transformation goals to be more agile and achieve objectives more quickly. Data Variety. Insurance and finance are two industries that rely on measuring risk with historical data models.

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The New Normal for FP&A: Scenario Planning

Jedox

We are currently operating in an environment with a very high (if not the highest ever) level of VUCA, (Volatility, Uncertainty, Complexity, Ambiguity). The way you mitigate uncertainty is with planning, planning, and more planning. Not to mention eventually leveraging the 70% – 80% of data that is considered “dark”.

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DORA and its impact on data sovereignty

CIO Business Intelligence

Recent research we conducted with IDC, more than 70% of businesses believe financial and environmental regulations will become more of a threat, while source suggests 88% of boards regard cybersecurity as a business risk. The volume of highly sensitive data now hosted in the cloud is on an upward trajectory.

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