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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.

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

CIO

Decisions around game-changing current and future technology require decisive action and possible investment to remain competitive. 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.

IT 845
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Data Mining Technology Helps Online Brands Optimize Their Branding

Smart Data Collective

In the digital age, online brands constantly look for ways to improve their branding and stay ahead of the competition. It involves using statistical algorithms and machine learning techniques to identify trends and patterns in the data that would otherwise be difficult to detect. What is Data Mining?

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6 generative AI hazards IT leaders should avoid

CIO

Many businesses cite copyright as an area of concern (and the FTC appears to agree ); submitting a business plan that looks like it was copy pasted from your competition could be problematic. Take for instance processes and workflows where algorithmic bias could become a factor such as in HR and hiring.

IT 787
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Dissecting Alstom’s three-part IT strategy

CIO

We’re looking for all kinds of profiles, from data scientists to systems engineers. How do you think Alstom is positioned in terms of digital transformation compared to its competition? They also face others like SLA controls, costs, and those related to the relationship with the client, and knowledge. It’s a main focus for us.

IT 532
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Data Science Journey Walkthrough – From Beginner to Expert

Smart Data Collective

Data scientists use algorithms for creating data models. Data science needs knowledge from a variety of fields including statistics, mathematics, programming, and transforming data. Knowledge of probability distributions is needed for understanding and predicting data. Basic knowledge of statistics is essential for data science.

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