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LexisNexis rises to the generative AI challenge

CIO Business Intelligence

IT leaders looking for a blueprint for staving off the disruptive threat of generative AI might benefit from a tip from LexisNexis EVP and CTO Jeff Reihl: Be a fast mover in adopting the technology to get ahead of potential disruptors. We will pick the optimal LLM. We use AWS and Azure. But it was an uphill climb to get to the cloud.

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What is ITIL? Your guide to the IT Infrastructure Library

CIO Business Intelligence

ITIL’s systematic approach to IT service management (ITSM) can help businesses manage risk, strengthen customer relations, establish cost-effective practices, and build a stable IT environment that allows for growth, scale, and change. The five volumes remained, and ITIL 2007 and ITIL 2011 remained similar.

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Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

The following are some of the key business use cases that highlight this need: Trade reporting – Since the global financial crisis of 2007–2008, regulators have increased their demands and scrutiny on regulatory reporting. The solution should be scalable, cost-efficient, and straightforward to adopt and operate.

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Can Data-Driven Accounts Receivable Management Strengthen Client Relationships?

Smart Data Collective

The benefits of data analytics in accounts receivable was first explored by a study from New York University back in 2007. Robert Kugel from Ventana Research has talked about some of the benefits of using big data and AI in finance. Optimize discounts and shorter payment terms as incentives.

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Why model calibration matters and how to achieve it

The Unofficial Google Data Science Blog

or may be used directly by not serving ads which don’t have expected revenue greater than their cost. isn’t good enough: it optimizes the calibration term, but pays the price in sharpness. In practice, we enforce this by optimizing over $log(beta_i)$. bar{pi} (1 - bar{pi})$: This is the irreducible loss due to uncertainty.

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To Balance or Not to Balance?

The Unofficial Google Data Science Blog

Other estimators, such as those based on matching and subclassification, may benefit from the balancing property, but the discussion of those estimators is postponed to a later post. It should be noted that inverse probability weighting is not generally optimal (i.e., Unfortunately, randomization is not possible in many situations.

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Measuring Incrementality: Controlled Experiments to the Rescue!

Occam's Razor

We have to do Search Engine Optimization. We'll measure Revenue, Profit (the money we make less cost of goods sold), Expense (cost of campaign), Net (bottom-line impact). What is missing in these numbers is the cost of… well you. A lone intern is your email campaign people cost. The people.