The central theme of Duggal’s presentation was the transformative impact of AI across major industries worldwide and Qualcomm’s role in driving this revolution. He emphasized that the large-scale AI transformation is being shaped by three key principles: the edge is always connected, the edge is AI-enabled, and workflows are AI-aware. These foundational concepts are enabling industries to leverage AI more effectively, ensuring that data processing and decision-making happen faster and more efficiently at the edge.
During an in-depth discussion on Qualcomm’s AI solutions and product portfolio, Duggal underscored the critical role of Large Language Models (LLMs) in making data more consumable, particularly in converting analog information into digital intelligence. He highlighted that while there is an overwhelming amount of analog information available, extracting meaningful insights from it has historically been a challenge. However, by utilizing LLMs to facilitate the transition from analog to digital, businesses can now interpret and leverage data more effectively. He explained that AI at the edge is enhancing the intelligence of sensors, and generative AI is making that intelligence more digestible. This shift is rapidly accelerating the conversion of the analog world into a digital one, powered by AI-driven advancements.
A major highlight of the presentation was the introduction of Qualcomm’s AI On-Prem portfolio at CES 2025, which marks a significant step in providing enterprise-grade AI solutions. Additionally, Duggal announced that IBM Watson’s X model is now available within Qualcomm’s AI Hub, further expanding the company’s AI ecosystem. He stressed that the strengthened partnership between Qualcomm and IBM is set to enhance AI governance, efficiency, and reliability for businesses.
Elaborating on this collaboration, Duggal noted that at CES 2025, Qualcomm Technologies and IBM unveiled an expanded partnership aimed at advancing enterprise-grade generative AI solutions across both edge and cloud environments. This initiative includes enabling IBM’s Granite models within the Qualcomm AI Hub and integrating Watsonx.governance across edge devices powered by Qualcomm’s platforms. The goal is to address critical AI challenges such as security, efficiency, reliability, and governance, ensuring that businesses can deploy AI solutions with greater confidence and control.
In addition to the significant AI advancements discussed, Duggal provided a glimpse into Qualcomm’s future plans, hinting at upcoming product announcements and strategic acquisitions that remain under embargo. While he refrained from sharing specific details, his remarks suggested that Qualcomm is preparing to introduce groundbreaking developments that will further solidify its leadership in AI and semiconductor technology.
These highly anticipated announcements are scheduled to be officially unveiled at Embedded World on March 10th, a key event that attracts industry leaders, innovators, and technology enthusiasts from around the globe. Given Qualcomm’s history of driving innovation in AI, connectivity, and edge computing, these forthcoming revelations are expected to showcase new capabilities that could redefine enterprise AI and intelligent computing.
The company has consistently pushed the boundaries of AI integration across industries, leveraging its expertise in on-device AI, generative AI, and AI-powered workflows to create solutions that enhance efficiency, security, and governance. As the industry looks ahead to Embedded World, anticipation is building around what Qualcomm will reveal and how these advancements will contribute to the broader transformation of AI-driven ecosystems.
By continuously expanding its portfolio and forging strategic collaborations, such as its recently announced partnership with IBM Watson for enterprise-grade AI solutions, Qualcomm is positioning itself at the forefront of AI innovation. The upcoming product launches and acquisitions are likely to further reinforce the company’s commitment to driving AI-powered solutions that improve enterprise operations, connectivity, and overall digital transformation.