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TIAA modernizes the customer journey with AI

CIO

Sastry Durvasula, chief information and client services officer at TIAA, says the multilayered platform’s extensive use of machine learning as part of its customer service line partnership with Google AI makes JSOC a formidable tool for financial and retirement planning and guiding customers through complex financial journeys.

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Predibase exits stealth with a low-code platform for building AI models

TechCrunch

-based companies, 44% said that they’ve not hired enough, were too siloed off to be effective and haven’t been given clear roles. “The major challenges we see today in the industry are that machine learning projects tend to have elongated time-to-value and very low access across an organization.

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5 questions CIOs must ask after Southwest Airlines’ failure

CIO

In 2017, Fast Company wrote that Southwest Airlines’ digital transformation “takes off” with an $800 million technology overhaul, but only $300 million was dedicated to new technology for operations. While weather may have been the root cause, the 16,000 flights canceled between Dec. 19-28 far exceeded any other airlines’ operational impacts.

Airlines 361
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Generative AI is a make-or-break moment for CIOs

CIO

Examples include GitHub Copilot, an off-the-shelf solution to generate code, or Adobe Firefly, which assists designers with image generation and editing. One is to “bring the model to the data” — that is, hosting the model on the organization’s infrastructure, either on-premises or in the cloud environment.

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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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Molecule.one grows its drug synthesis AI platform with a $4.6M seed round

TechCrunch

Its machine learning systems predict the best ways to synthesize potentially valuable molecules, a crucial part of creating new drugs and treatments. The company leverages machine learning and a large body of knowledge about chemical reactions to create these processes, though as CSO Stanis? . odarczyk-Pruszy?ski

Chemicals 246