5G Factor: Making AI Open, Responsible, and Transparent

Futurum Tech Webcast

In this episode of The 5G Factor, our series that focuses on all things 5G, the IoT, and the 5G ecosystem as a whole, we review the major mobile ecosystem moves to make AI open, responsible, and transparent including Intel’s Enterprise AI proposition emphasizing open industry software for developer productivity, Qualcomm’s Responsible AI vision focus on privacy and security, and Nokia using Transparent AI across its audio portfolio development.

Our analytical review spotlighted:

Intel Enterprise AI Strategy Emphasizes Openness. At Intel Vision 2024 Intel sharpened its Enterprise AI proposition across critical sectors such as finance, manufacturing, and healthcare as they are rapidly seeking to broaden accessibility to AI and transitioning generative AI (GenAI) projects from experimental phases to full-scale implementation. We delve into why the Gaudi 3 AI accelerator launch underpins Intel’s vison by bringing together AI-dedicated compute engine, memory boost for LLM capacity requirements, efficient scaling for enterprise GenAI, open industry software for developer productivity, and Gaudi 3 PCIe capabilities as well as Bharti Airtel’s selection of Intel’s AI technology for enhancing its telecom data to improve customer experience and Infosys collaborating to bring Intel technologies to Infosys Topaz, an AI-first set of services, solutions and platforms that seek to accelerate business value using GenAI technologies.

Qualcomm Emphasizes Privacy and Security in Responsible AI Vision. Qualcomm, in a recent blog by Durga Malladi, SVP & GM, Technology Planning & Edge Solutions, detailed its vision for shaping the future of AI responsibly by spotlighting that one of the core principles of responsible AI is privacy and security. This is especially pertinent as AI systems collect and analyze vast amounts of data to protect individuals' privacy rights and ensure the security of sensitive information. We assess why Qualcomm, by promoting transparency, is effectively targeting the fostering of trust that can enable users to make informed decisions about AI technologies, ensuring that they align with their values and expectations.

Nokia Attains Audio Portfolio Gains Through Transparent AI. Nokia’s applications of transparent AI in audio product development, such as OZO Audio and Immersive Voice, plays an integral role in providing mobile device owners with sounds of immersion, clarity and focus. This level of quality requires extensive exploration, analysis and testing at every step of the development process. Many of the smart features of these audio solutions, such as applying noise reduction, are developed by training algorithms. We delve into how Nokia’s research and engineering team running audio data through machine-learning (ML) models, can analyze the output and tweak the algorithms until the team gets the desired result for its product. This includes using Simple Linux Utility for Resource Management (SLURM). a cluster-management, resource-allocation and job-scheduling system that shows which user ran a specific job and with what resources, together with the container system Apptainer, allows Nokia to transfer its code transparently between various allocated resources in the company’s datacenter.