Telstra and Accenture launched an AI Silicon Valley hub, a first-of-its-kind innovation facility for Telstra to incubate and accelerate its top priorities.
As part of the Telstra and Accenture joint venture, which officially kicked off in April, the hub provides direct access to cutting-edge technology, top engineering talent, and collaboration spaces with ecosystem partners, such as Amazon Web Services (AWS), Databricks, and Microsoft.
The hub will connect with teams in Sydney, Melbourne and Bangalore as part of Accenture Connected Innovation Centers— creating a virtual door where teams can ideate, collaborate, build and test in a secure environment. With top global experts working with the joint venture team, the hub will deliver foundational architecture and solutions that enable Telstra to realize its AI-first ambitions.
Telstra Group Executive for Product and Technology Kim Krogh Andersen said, “Advances in AI technology are happening at incredible speed – we’ve seen the conversation shift from generative AI to include agentic AI in the space of months, and this technology will change the game. To extend our network leadership and reinvent customer experiences, we will take our innovation to the next level by combining our domain expertise with the best AI minds, in the heart of technology advancement, Silicon Valley.”
Across the seven-year joint venture, the AI Silicon Valley hub will accelerate Telstra’s foundational AI architecture that will power AI use cases and unlock business intelligence. It will also drive advanced engineering and applied research and development to fast-track Telstra’s data and AI roadmap. The initial priorities include to:
- Deploy AI Refinery for Telstra, building agentic solutions and reimagining legacy processes. This includes transforming Telstra’s order to activate process into an intelligent, adaptive system supported by decision-capable AI agents – reducing the time some processes take from weeks to days.
- Advance Telstra’s responsible AI capabilities, including real-time model monitoring , ensuring AI systems and agents remain compliant with policy and community expectations as Telstra scales AI solutions.
- Co-innovate across the partner ecosystem, with dedicated space for engineering teams from partners, such as AWS, Databricks and Microsoft, and the opportunity to test niche start-up solutions.
- Learn from academia, including the Berkeley Sky Labs and Stanford HAI, to bring research and ideation on data, AI and network innovation. For example, the Accenture Berkeley Foundation Model Architect program.
“Bringing together leading research and engineering talent to innovate and build solutions for our customers and people is exactly what this joint venture is about. With some of the best minds in emerging tech and advanced AI, and an ecosystem of partners, we’re opening up pathways to access global talent to build technology that creates value for our customers and our people, faster,” Krogh Andersen said.
Karthik Narain, group chief executive – Technology and CTO, Accenture, said, “Telstra’s AI strategy is a bold, whole-of-business strategy that sets a new industry standard. Strategic partnerships, like what we have with Telstra, are an important source of competitive advantage for winning in this AI era. They bring out the best out of both organizations. This hub represents a nexus of breakthrough innovations for our teams in Silicon Valley, Australia and India, enabling co-development and learning across the ecosystem.”
About the joint venture
Telstra and Accenture announced a joint venture in January 2025, which commenced in April 2025, to rapidly accelerate Telstra’s data and AI roadmap to further extend its network leadership, improve customer experience, and help its teams operate more efficiently and effectively. Steered by joint global leadership, the JV comprises specialists from Telstra and Accenture’s data and AI teams to build on Telstra’s work creating a world-class data and AI ecosystem, modernizing its data and AI platforms, and embedding responsible AI by design.
Source: Accenture
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