OpenAI has introduced ChatGPT Enterprise, a groundbreaking iteration of its widely acclaimed AI chatbot, designed to cater to the distinctive requirements of businesses. This enhanced version promises elevated levels of security, privacy, and an array of potent features tailored to enterprise needs.
SK Telecom’s recent interest in burgeoning AI companies, especially in the AI Contact Center specialist, Persona AI, is undeniable. The partnership aims to revolutionize customer service through AI technology, reducing wait times and providing 24-hour service. However, challenges remain as AI tries to match the human knack for voice recognition and interpretation. SKT and Persona AI also plan to venture into voice recognition kiosks and voice-activated robots, capitalizing on a rapidly growing market.
8×8 boosts Microsoft Teams with native calling integration, Opera’s iOS app adds Aria AI chatbot for content generation, Rogers clinches top spot in umlaut’s Canadian carrier study, and IoT propels enterprise transformation with 5G and eSIM adoption, per Omdia survey.
A recently conducted study on ChatGPT, a popular AI chatbot, unveiled a political bias in its responses. A group of researchers from UK and Brazil noted a discernible left-leaning orientation, shaping an unexpected narrative. This raises questions about AI’s impartiality in conveying content, and signals the need for stricter scrutiny and regulation. As AI increasingly guides our informational insights, maintaining neutrality in its delivery becomes crucial for preserving integrity, particularly in electoral processes.
In a first for the region, Ericsson and Australian operator TPG are creating a cloud-native AI-powered analytics tool, designed specifically to streamline 4G and 5G networks. With the power to predict and fix performance issues in real-time, this tool aims to enhance response times to network issues and reduce reliance on complex infrastructure analysis. Showcasing TPG as an early adopter, this technology also enhances network flexibility as usage increases, allowing for tracking of around five million subscribers.
The Q2 global market growth for cloud infrastructure services showed a flourishing trend, although at a slightly reduced rate from Q1. The noteworthy strides are largely linked to evolving spending habits, with AI expected to power considerable growth soon. Amazon and Microsoft demonstrate this shift, announcing AI-focused programs in response to the rising demand. Nevertheless, mastering AI implementation comes via strategic partnerships, open to those willing to forward AI applications.
Delving into the biases within artificial intelligence (AI), a recent study highlights how large language models (LLMs) inherently reflect limited perspectives. This becomes particularly intriguing when considering the varying ethics exhibited by AI systems from OpenAI and Meta.
Rakuten’s new alliance with OpenAI aims to dissect opportunities in generative AI to enhance various business sectors they serve globally. This partnership promises to expand existing AI experiences in ChatGPT products and foster premium AI conversational possibilities. Yet, some recent whispers suggest a performance drop in GPT-3.5, leading to theories about its overall commercial intent. Will generative AI become a privilege of the financially potent? This question merits careful consideration.
Leading software development firm, TribalScale, renowned for its exceptional digital products, has unveiled an exciting partnership with Senso AI, a pioneering provider of state-of-the-art AI solutions. This strategic collaboration aims to reshape the employee experience at TribalScale by harnessing Senso AI’s cutting-edge technology to enrich the company’s wiki support.
The Linux Foundation-led Ultra Ethernet Consortium brings AMD, Arista, Broadcom, and others together to refine ethernet architecture, addressing the escalating network requirements of AI and high-performance computing. Pledging to enhance ethernet performance, the alliance will leverage ethernet’s adaptability, ensuring scalability and cost-effectiveness for diverse workloads. Aiming for a holistic tune-up rather than a complete overhaul, consortium endeavours will encompass detailed protocols, signaling mechanisms, and software solutions.
