Generative AI’s capacity to curate fresh content is piquing interest within the telecommunications domain with predictions of significant growth. A recent Altman Solon survey revealed that nearly half of the experts in this field are gearing towards adopting this technology within the forthcoming two years. Telecommunications companies are seen to utilize AI power initially to refine customer experiences. Alterations of these AI models to align with specific objectives and eventually, creating new industry-focused models are the subsequent phases. However, data protection concerns circulate around its adoption. Thus, an intricate balance must be reached in refining AI applications and ensuring data safety.
Iliad, the French telecom operator, steps up to redefine Europe’s AI landscape, unveiling a Nvidia DGX SuperPOD, the first in Europe. Aimed for their Cloud division, Scaleway, it aims to accelerate AI services for businesses while securing a technological edge. Yet, questions on ROI and sustainability lurk amidst innovation.
The UK Competition and Markets Authority is charting the course for fair AI practices, guided by seven strategic principles. Their balanced approach, drawn from a diverse pool of inputs, aims to ensure competitive integrity and consumer welfare in the AI-driven market. The spotlight is on accountability, ensuring AI creators shoulder responsibility for their solutions’ implications. Additionally, advocating for consumer freedom in choice and flexibility, they aim to deter anti-competitive practices. However, who exactly should uphold the principle of transparency remains unclear.
IBM and Salesforce have unveiled a groundbreaking collaboration aimed at accelerating the worldwide adoption of Artificial Intelligence (AI) in Customer Relationship Management (CRM). Their partnership seeks to empower businesses across various industries to transform customer, partner, and employee experiences while ensuring the security of their data.
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.
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.
Google is ramping up its generative AI capabilities to enhance its search tool’s ability to decipher complex information often encountered on the internet. In a recent blog post, the tech giant showcased three novel features either already accessible or soon to be introduced in its Search Generative Experience (SGE). Currently in the realm of a Google Labs experiment, SGE integrates AI into the traditional search engine by providing summaries, sources, and follow-up questions related to the search topic.
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.
