Nvidia and HPE have announced a significant partnership aimed at accelerating the adoption of generative AI among businesses. This new collaboration builds on a decades-long relationship between the two tech giants, promising to streamline AI solutions and integrations for enterprises.
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.
Netcracker’s GenAI Telco Solution, a revolutionary tool that leverages generative AI models to enhance telecom operations, promises to reshape customer experiences and streamline automation. The tool facilitates personalised interaction while anonymizing telecom data and is compatible with widely used GenAI models. Amidst privacy and security concerns, it offers a secure gateway to harness telecom data, promising to boost business value extraction and maximize productivity.
A recent survey unveils how, despite potential risks, most industries, particularly telecommunication firms are embracing generative AI’s benefits. Interestingly, even traditionally cautious sectors, like aerospace and defence show a strong inclination towards AI’s adoption. Yet, as AI integration requires extensive investment in staff skill development, emerging corporate roles like AI auditors or ethicists are anticipated.
Microsoft and Salesforce have emerged as leaders in the low-code space for their integration of generative AI, according to a report by GlobalData, a prominent data and analytics company. The digital transformation era has fueled the demand for rapid app development and intelligent automation, prompting innovative enterprises to explore the potential of emerging technologies. The “Low-Code Platforms: Competitive Landscape Assessment” report by GlobalData highlights the fiercely competitive nature of the low-code market segment. Microsoft has strengthened its position by combining its Power Automate offering with the new Azure OpenAI service. On the other hand, Salesforce has been consolidating its Salesforce Flow/Automation and Einstein tools, including Einstein GPT CRM tools, within its Data Cloud platform. Charlotte Dunlap, Research Director at GlobalData, acknowledges the rapid entry of global public cloud platform providers such as Google, Microsoft, and Amazon into the low-code market. These companies are launching strategies centered around visualization tools, automation…
Thematic integrates Generative AI into their feedback analytics platform, enhancing customer feedback analysis through large language models. Their new Theme Summarizer feature offers easy-to-read summaries, while visualizations and reports aid product decision-making and trend identification.
Nvidia’s groundbreaking Grace Hopper superchip, now in full production, aims to revolutionize generative AI applications and transform various industries, from telecommunications to automotive. Merging advanced CPU and GPU capabilities, it offers improved infrastructure while addressing Open RAN architecture debates.
Vodafone has expanded its strategic partnership with Microsoft, integrating Microsoft 365 Copilot AI across 68,000 employees to boost productivity and digital efficiency. Incorporating generative AI into various business areas will streamline tasks, allowing employees to focus on more creative endeavors.
Meta’s recent decision to resume using public content from UK users on Facebook and Instagram for AI model training showcases a strategic move to enhance its AI capabilities. This change, following regulatory discussions, aims to better reflect British culture and language, keeping Meta competitive in the AI landscape.
Modal Labs leverages Oracle Cloud Infrastructure (OCI) to enhance AI model efficiency for inferencing, fine-tuning, and batch processing. OCI’s bare metal instances offer significant price-performance benefits, allowing customers to scale AI workloads swiftly while only paying for what they use. This integration aids developers by accelerating code deployment and improving outcomes.
