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Bringing an AI Product to Market

O'Reilly on Data

In this article, we turn our attention to the process itself: how do you bring a product to market? You must detect when the model has become stale, and retrain it as necessary. The Marketing team built the first model, but because it was from marketing, the model optimized for CTR and lead conversion.

Marketing 363
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3 Massive Cost-Saving Benefits of Smart Data for Businesses

Smart Data Collective

For example, they could maximize their employees’ skills or cut production costs. One of the reasons that the market is growing so rapidly is that smart data is improving the quality of data-driven business models. Equipped with useful information, businesses will more effectively and efficiently market to customers.

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IT leaders look beyond LLMs for gen AI needs

CIO Business Intelligence

With the generative AI gold rush in full swing, some IT leaders are finding generative AI’s first-wave darlings — large language models (LLMs) — may not be up to snuff for their more promising use cases. With this model, patients get results almost 80% faster than before. It’s fabulous.”

IT 121
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UK Power Networks gets smart about cloud transformation

CIO Business Intelligence

For some organizations, shifting to the cloud has been a relatively quick race toward highly publicized benefits, such as scalability. Following the merger, the energy company began its digital transformation by unifying the three networks under one ERP system, SAP, with plans to eventually evolve to SAP’s S/4HANA SaaS-based model.

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. These applications are designed to benefit logistics and shipping companies alike. Did you know? Where is all of that data going to come from?

Big Data 275
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Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

ln this post he describes where and how having “humans in the loop” in forecasting makes sense, and reflects on past failures and successes that have led him to this perspective. Our team does a lot of forecasting. It also owns Google’s internal time series forecasting platform described in an earlier blog post.

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Managing Seasonal Fluctuations in Retail with Analytics

Smart Data Collective

Data analytics technology has helped retail companies optimize their business models in a number of ways. One of the biggest benefits of data analytics is that it helps companies improve stability during times of uncertainty. There are a number of huge benefits of using data analytics to identify seasonal trends.