Most Read: Will.i.am Launches Interactive AI-Driven Radio App, Generative AI Adoption Hits Critical Turning Point

Here are the most-read stories on AI Business this week.

Will.i.am Launches Interactive AI-Driven Radio App

Singer, songwriter and technology entrepreneur Will.i.am has launched a new AI-powered interactive, conversational media platform called RAiDiO.FYI.

The app-based platform hosts radio shows that harness AI to allow listeners to customize content and discover new music, personalize topics, ask questions and talk with AI radio personas.

Using natural conversational language, listeners can interrupt the AI host to ask for more information about what they’re listening to, such as “Who produced this song?” and receive a real-time response. They can also ask questions about news and current events.

Radio stations can also be customized in the app by curating specific news and topics listeners want to hear, with stations focused on fashion, pop culture and finance. There are also AI personas that reflect different cultures.

Find out about the platform’s interactive features

Generative AI Adoption Hits Critical Turning Point, Report Reveals

Businesses are ramping up investment in generative AI, spurred on by strong value to date but challenges remain, a new report by Deloitte found. 

According to its findings, a majority of the organizations surveyed (54%) are seeking efficiency and productivity improvements, but only 38% are tracking changes in employee productivity.

Related:AI-Enhanced App Helps Monitor, Protect the World's Coral Reefs

Many of these efforts are still at the pilot or proof-of-concept stage, however. Nearly two-thirds of respondents (68%) said their organization has moved 30% or fewer of their generative AI experiments fully into production. 

These findings were published in the third quarterly edition of Deloitte’s State of Generative AI in the Enterprise report, for which the consultancy surveyed 2,770 director- to C-suite-level respondents across 14 countries. 

Discover what the report had to say

The Risks and Benefits of AI in Health Care

Artificial intelligence (AI) has significantly streamlined numerous tasks in our lives, transforming our approach to digital tools in both professional and personal contexts.

Despite its growing popularity, many unresolved issues persist, particularly concerning data ethics and security.

However, AI's potential to solve long-standing problems in science, testing and medicine is undeniable. Medicine, in particular, sparks intense debate due to its immediate applicability and the high stakes involved.

Find out how AI can help relieve the burden on health care

Accenture, AWS Launch Tool to Aid Responsible AI Adoption

Related:Nvidia Launches Workflows for Organizations to Build Their Own AI

Accenture and Amazon Web Services (AWS) have launched a new platform aimed at supporting organizations to adopt and operationalize responsible AI practices.

The new tool powered by AWS will help organizations assess their AI risks and develop mitigation approaches to comply with specific regulations. 

For example, it enables firms to integrate responsible AI practices as they build generative AI applications by automating the core elements. It also creates an ongoing cycle of monitoring, testing and remediating for compliance throughout the enterprise.

The new offering, called Accenture Responsible Artificial Intelligence (AI) Platform, is tuned for AWS workloads and can provide a unified view of assets, open-source tools and industry standards relating to responsible AI.

Read more about the new tool

Open-Source AI Platform Releases Guide for Low-Cost Robotics

AI community platform Hugging Face has released a series of detailed tutorials that promise to help developers of all abilities build and train their own AI-powered robots.

The guides, recently shared on X, aim to show users how to teach low-cost robotics hardware new skills with just a laptop, covering everything from sourcing parts to deploying AI models.

Users can learn how to train a neural network to directly predict the next motor rotations needed straight from camera images, Hugging Face principal research scientist Remi Cadene said on X.

For example, by programming via a laptop the neural network will be able to control a robot teaching it how to notice, pick up and move a Lego brick.

Discover how to build your own robot