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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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Getting specific with GenAI: How to fine-tune large language models for highly specialized functions

CIO

The challenge, as many businesses are now learning the hard way, is that simply applying black box, off-the-shelf LLMs, like a GPT-4, for example, will not deliver the accuracy and consistency needed for professional-grade solutions. The key to this approach is developing a solid data foundation to support the GenAI model.

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5 questions CIOs must ask after Southwest Airlines’ failure

CIO

They also received $7 billion in pandemic aid and performed $5.6 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. 19-28 far exceeded any other airlines’ operational impacts.

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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. Instead, a more viable option is to perform fine-tuning on a pre-trained, general model.

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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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AI-First Benefits: 5 Real-World Outcomes

Cloudera

Efficiency is a continual goal for any organization. In a retail operation, for instance, AI-driven smart shelf systems use Internet of Things (IoT) and cloud-based applications to alert the back room to replenish items. This makes for well-run organizations that are better attuned to their needs and those of the people they serve.