Helping Telcos Monetize their Networks through Communications and Network APIs

S. Soh

Summary Bullets:

• Vendors such as Nokia and Ericsson are helping their telco clients to monetize their network assets through APIs.

• They are combining network APIs and communications APIs as well as tapping the CPaaS developer community to accelerate the adoption.

Application programming interface (API) is an important capability for connecting software applications and systems. The API allows developers to create software that use the functionality and data offered by another application or system. This enables innovation and workflow automation, and it is a critical part of the digitally connected ecosystem. As industries become more digitized, APIs become more important. The telecommunications sector has been developing API capabilities for some years, but they have not been able to commercialize their APIs, until now. There have been major developments in 2024 as the standardization of APIs through the CAMARA project, which is an open-source project within the Linux Foundation to develop and test APIs in collaboration with the GSMA (for more, please see GenAI, Network APIs, and 5G are Coming Together Nicely to Drive App Development and CX, March 7, 2024). There are two key areas of API opportunities for the telcos – network APIs and communications APIs – but they sit in different domains and attract different developer communities. Some telco-focused vendors are now bringing the two domains together.

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Generative AI Watch: Google I/O Fires on All Cylinders, but What will Become of the Search Business?

B. Valle

Summary Bullets:

• Google’s I/O event for developers included the announcements of Project Astra, Gemini 1.5 Flash, and a new tensor processing unit (TPU) architecture.

• Google also updated Gemini 1.5 Pro, extending its context window from one to two million tokens, and refining its code-generation and reasoning capabilities.

Google I/O 2024 included an impressive array of generative AI (GenAI) announcements such as upgrades to Google Gemini (Gemini), an AI assistant called Project Astra, and a new chipset architecture. The release of Trillium, the sixth generation of Google Cloud TPUs confirms Google’s position in the contested silicon market, where a competitive microprocessor architecture has become an essential element in the arsenal of every hyperscaler trying to beef up its GenAI strategy. This was demonstrated once again when Microsoft recently announced a new collaboration with AMD. As the original pioneer of custom-made, proprietary semiconductors for AI, Google is keeping the platform fresh by releasing timely upgrades. The new architecture includes the next generation of SparseCore, an accelerator for processing the embeddings found in AI-based ranking and recommendation systems.

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