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Know before you go: 6 lessons for enterprise GenAI adoption

CIO

Many organizations know that commercially available, “off-the-shelf” generative AI models don’t work well in enterprise settings because of significant data access and security risks. In other words, we are walking a mile in our customers’ shoes. Here’s a quick read about how enterprises put generative AI to work).

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Next Best Action Marketing: How to Implement Hyper-Personalization with Machine Learning

Altexsoft

In this article, we’ll discuss what the next best action strategy is and how businesses define the next best action using machine learning-based recommender systems. The funnel for each customer is unique as each customer learns about a company or its services at their own pace and style. This changes the game for marketers.

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NJ Transit creates ‘data engine’ to fuel transformation

CIO

In early 2020, the company’s infrastructure was an amalgam of “everything,” Fazal says, including mainframe, client/server, and SaaS systems, as well as 140 applications of all “flavors,” some customized, some off the shelf, some from big companies and some from small companies, he says. Data engine on wheels’.

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Short-Term and Vacation Rental Data: Sources and Analysis

Altexsoft

In this article, we’ll focus on short-term rental data sourcing and analysis, and share our experience gained from cooperation with Japan’s largest booking platform Rakuten Travel , vacation rental market data provider Key Data , and other tech partners. Vacation and short-term rentals are experiencing a post-COVID renaissance.

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AI-First Benefits: 5 Real-World Outcomes

Cloudera

The availability and maturity of automated data collection and analysis systems is making it possible for businesses to implement AI across their entire operations to boost efficiency and agility. Artificial intelligence (AI) has been a focus for research for decades, but has only recently become truly viable. Benefits aplenty.

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How Much Facial Recognition Software Costs: Free Webinar

Exadel

That’s why most companies choose to integrate their applications with off-the-shelf facial recognition services instead of creating one from scratch. If you are planning to integrate facial recognition software into your existing apps, you will find our facial recognition software cost analysis valuable. Previous article.

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7 data trends on our radar

O'Reilly Media - Ideas

In a recent O’Reilly survey , we found that the skills gap remains one of the key challenges holding back the adoption of machine learning. For most companies, the road toward machine learning (ML) involves simpler analytic applications. Sustaining machine learning in an enterprise.

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