Remove learning-content custom-training
article thumbnail

10 most in-demand generative AI skills

CIO

NLP aims to create smoother experiences for those interacting with AI chatbots and other services that rely on generative AI to service clients and customers. Most relevant roles for making use of NLP include data scientist , machine learning engineer, software engineer, data analyst , and software developer.

article thumbnail

Generative AI is pushing unstructured data to center stage

CIO

The evolution of AI and the use of structured and unstructured data When discriminative AI rose to prominence in sectors such as banking, healthcare, retail, and manufacturing, it was primarily trained on and used to analyze, classify, or make predictions about unstructured data. What’s hiding in your unstructured data?

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

11 most in-demand gen AI jobs companies are hiring for

CIO

A recent survey of senior IT professionals from Foundry found that 57% of IT organizations have identified several areas for gen AI use cases, 25% have started pilot programs, and 41% are engaged in training and upskilling employees on gen AI.

article thumbnail

Generative AI hallucinations: What can IT do?

CIO

What IT can do about generative AI hallucinations Fortunately, there are actions IT organizations can take to reduce the risk of generative AI hallucinations—either through decisions they make within their own environments or how internal users are trained to use existing tools. Here are a range of options IT can use to get started.

article thumbnail

Embrace the Generative AI revolution: a guide to integrating Generative AI into your operations

CIO

Let me share some of my experiences and learnings to provide actionable insights on navigating the GenAI revolution. It is crucial to pinpoint where and how GenAI can generate tangible business value and how your customers will interact with it. GenAI models are trained on huge volumes of data. What are your unique data sets?

article thumbnail

The case for predictive AI

CIO

Predictive AI uses advanced algorithms based on historical data patterns and existing information to forecast outcomes to predict customer preferences and market trends — providing valuable insights for decision-making. GenAI focuses on the creation of new content, generating outputs that are original and novel. But it shouldn’t.

article thumbnail

3 areas where gen AI improves productivity — until its limits are exceeded

CIO

So based on early results, the three functional areas where companies see the biggest productivity improvements are in customer service, software development, and general creative and knowledge work. Researchers from Stanford and MIT collaborated on a study, released last April, based on data from over 5,000 customer support agents.