AI agents thrive when trust is designed in from the start, says vice president of product management at NICE, Neeraj Verma. Automation has become a defining force in the customer experience. Between the chatbots that answer our questions and the recommendation systems that shape our choices, AI-driven tools are now embedded in nearly every interaction. But the latest wave of so-called "agentic AI"--systems that can plan, act, and adapt toward a defined goal--promises to push automation even further. Every single person that I've spoken to has at least spoken to some sort of GenAI bot on their phones. They expect experiences to be not scripted.

Human Inspired Technologies Research Centre, Università degli Studi di Padova Abstract Artificial Intelligence ( AI) plays an essential role in healthcare and is pervasively incorporated into medical software and equipment . In the European Union, healthcare is a high - risk application domain for AI, and providers must prepare Instructions f or Use ( IFU) according to the European regulation 2024/1689 (AI Act) . To this regulation, t he principle of transparency is cardinal and requires the IFU to be clear and relevant to the users. This study test s whether these latter requirements are satisfied by the IFU structure . A survey was administered online via the Qualtrics platform to four types of direct stakeholders, i.e., managers (N = 238), healthcare professionals (N = 115), patients (N = 229), and Information Technology experts (N = 230). T he participants rate d the relevance of a set of transparency need s and indicated the IFU section addressing them . The results reveal differentiated priorities across stakeholders and a troubled mapping of transparency needs onto the IFU structure . Recommendations to build a locally meaningful IFU are derived. Keywords: transparency, AI A ct, healthcare, user - centeredness 1. Introduction The software called Artificial Intelligence is the object of recent regulation s and guidelines such as the European Union AI Act (Artificial Intelligence Act, 2024), the US AI Risk Management Framework (NIST USA, n.d.), or UNESCO's recommendations on the Ethics of Artificial Intelligence (UNESCO, 2022) . Overall, these initiatives aim to increase the trustworthiness of AI technology, especially in application domains where mistakes and misuse ha ve high costs for human well - being and rights . According to European law, health applications represent one such domain . To minimize the se risks, the AI Act prescribes that providers make available to users (or "deployers," in the regulation terminology) some Instructions for Use (IFU) about the systems' capabilities, limitations, and security . These instructions implement the obligation to transparency, facilitat ing an informed, responsible, and proper use of high - risk AI technology.

Despite the model's slow speed, pricey cost to operate, and sometimes off-kilter outputs, he says it was an eye-opening moment for them to see fresh video clips generated from a random prompt. Now, just a few years later, Google has announced plans for a tool inside of the YouTube app that will allow anyone to generate AI video clips, using the company's Veo model, and directly post them as part of YouTube Shorts. "Looking forward to 2025, we're going to let users create stand-alone video clips and shorts," says Sarah Ali, a senior director of product management at YouTube. "They're going to be able to generate six-second videos from an open text prompt." Ali says the update could help creators hunting for footage to fill out a video or trying to envision something fantastical.

Arm has confirmed that it will be offering its next-gen Arm compute platform, called Arm CSS for Client, at Android smartphones. Executives also mentioned that they could be used for PCs as well. The announcement follows an earlier report that indicated that Arm might expand its traditional business model. Arm has traditionally sold CPU designs, not silicon, to partners like Qualcomm. Those companies have the freedom to adjust Arm's designs -- depending upon their license agreement -- and then ask foundries like TSMC to actually manufacture the chip.

We are looking for a Director-Level Product Management Leader to join our rapidly growing team! Our product managers oversee the product functionality and design for our flexible, scalable, and easy-to-use data cloud. We need someone who has the breadth of skills and experience that will make our product loved by customers - someone who can develop a deep understanding of the Snowflake product, a deep empathy for customers and a clear vision of how the product should evolve. Specifically, the person hired for this role will serve as the business owner for our data science and machine learning workload. The role entails shaping the product roadmap for this workload with a strong focus on execution, all while working in a cross-functional way with teams across the company to make Snowflake and our customers successful for this workload, and it includes working with our ecosystem of technology and solution partners to align on joint technology and business integration roadmaps in this space.

How Workday Leverages the Power of Artificial Intelligence and Machine LearningIn this episode, we talk with Rob McGovern, Senior Director of Product Management for Machine Learning at Workday who discusses how his company uses AI and ML for human resources and financial management. Rob talks abo...

Clap along, if you feel like that's what you wanna do Back in 2014, hip-hop producer Pharrell Williams wrote Happy for his friend Cee Lo Green, and had him record the song to include on Pharrell's upcoming album. Unfortunately, Cee Lo Green's record label executives vetoed the song's release, believing it would subtract attention from Green's own upcoming album. Upset but unfazed by this idiotic slight toward him, Pharrell recorded a new version of the song himself, and simply released that instead. "Happy" went on to become one of the singular most popular recorded songs in history, breaking every record one single song can break along the way and sending Pharrell's career to new and rarified heights. We are pleased to announce the Women Leaders of Conversational AI, Class of 2023: approximately 200 women who themselves have shown perseverance in their own careers as they've worked to impact the conversational AI / voice technology continuum.

I am going to speak with you using an AI voice because I have a sore throat. I had built a text to speech voice synthesizer as my college project in my Computer Science Engineering undergrads decades back. I am using Google WaveNet for text to speech. This is #SudhaLive my weekly livestream where I share opportunities in AI space -- jobs, fellowship, courses and my analysis of one topic from the AI world. Let's hear a female voice from India now.

Companies are pursuing digital transformation at an unprecedented rate, propelled often by the innovation enabled by edge computing. Aware of the limitations of legacy systems and cloud computing, businesses are looking to leverage edge devices to harness data, streamline operations, and run complex workloads in a flexible, fast and resilient way. The data reflects this story. Recent estimates forecast that there will be 27 billion connected IoT devices by 2025 (IoT Analytics 2022). Demand is being driven by strong appetite from particular sectors, such as automotive, telco, manufacturing and retail, where optimized supply chains and advanced automation have outsized impact.

VIRTUAL BOOTCAMPS Python for Data Science & Machine Learning Python is a programming language widely used by Data Scientists. This Summer Bootcamp is for those who want to start a career in Data Science and those who want to learn more about using Python for Data Science and Machine Learning. The Summer Bootcamp will cover