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Personalization and Customer Profiling with AI-Driven Helpdesk Software

Smart Data Collective

A growing number of software developers are creating Helpdesk applications that rely on personalization capabilities that would not be possible without modern AI algorithms. The Role of Customer Profiling Customer profiling entails the gathering and examination of data to generate comprehensive profiles of your clientele.

Profiling 253
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Salesforce Data Cloud updates aim to ease data analysis, AI app development

CIO

This database allows Salesforce customers to combine structured and unstructured data, creating a more comprehensive customer profile,” the company said in a press release, adding that once the unstructured data is added to the Data Cloud, it is automatically converted into a usable format across the Einstein 1 platform.

Analysis 725
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5 ways AI is showing promise as a decision-maker

CIO

Instead of waiting on hold or navigating through phone menus, customers can instantly get answers from a virtual agent that is far more engaging and knowledgeable than past generations of chatbots. Sales optimization In sales, AI can provide account reps with the information they need to close deals.

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7 dark secrets of generative AI

CIO

Everyone is still amazed by the way the generative AI algorithms can whip off some amazing artwork in any style and then turn on a dime to write long essays with great grammar. Generative AI algorithms are still very new and evolving rapidly, but it’s still possible to see cracks in the foundation. The stock prices are soaring.

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Swiss energy services company uses machine learning to see the future

CIO

SAP helped us to connect and combine our internal utility-related knowledge… to build a valuable tool which supports us securing the performance of the grid,” said Marcel Holzer, manager of SAP systems at IWB. With ML producing a total load profile in 15-minute intervals, forecasters could view solar production in eight-hour chunks.

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Reed Smith turns to AI for lawyer staffing solution

CIO

Employees can input their skills, expertise, and knowledge into the platform and be matched with available projects that Smart Resourcing predicts they will be both suited for and interested in. Skillset, experience, bandwidth, and knowledge are among the key factors used by Smart Resourcing algorithm for matching purposes.

Profiling 369
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IT leader’s survival guide: 8 tips to thrive in the years ahead

CIO

As an example, he points to a partnership TIAA has undertaken with New York University, in which employees can upskill through cyber programs that help them gain specialized knowledge and new skills. Competing with [high-profile technology] giants, who can offer astronomical salaries, makes hiring seasoned talent a Herculean task.

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