Akamai targets APAC streaming with AI operationalization for real-time dubbing
Akamai executives report a growing trend among APAC enterprises to move from AI experimentation to operationalizing use cases like real-time dubbing and transcoding. The company is positioning its Akamai Partner Connect program to assist partners in managing the infrastructure requirements of these AI deployments across edge and core cloud environments.
Key Takeaways
- Broadcasters in the APAC region are specifically applying AI to automate real-time dubbing and video transcoding tasks.
- Akamai Partner Connect is being repositioned to help channel partners manage complex infrastructure requirements for AI scaling.
- CTO Jay Jenkins emphasizes a distributed approach, placing AI workloads at the edge for latency-sensitive tasks or in core clouds for large-scale compute.
- Enterprises are moving away from a one-size-fits-all model to balance infrastructure costs against expected AI investment returns.
Why It Matters
The transition from AI pilots to operational workflows signals a maturing market where infrastructure reliability and latency become the primary bottlenecks for streaming providers. For the video ecosystem, this shift necessitates a move toward distributed computing where heavy tasks like transcoding occur where they are most cost-effective, while user-facing features like real-time dubbing reside at the edge. As APAC enterprises demand more than just basic deployment, service providers must evolve into strategic consultants capable of navigating high-competition environments. Watch for Akamai to introduce more industry-specific enablement tools within its partner program to capture specialized media and entertainment workloads.
Additional Context
Akamai has been expanding its AI infrastructure portfolio beyond content delivery, positioning itself as a platform for production AI workloads at the edge. The company observed a 300% annual increase in AI bot traffic and found that nearly 60% of searches now end without a click, prompting it to launch AI Brand Presence, a product that translates website content into formats optimized for LLM retrieval and AI agent consumption. That product, which Akamai piloted on its own global website, produced an 85% increase in AI citations and a 364% surge in brand presence for general searches where the brand was not mentioned by name. These results underscore why Akamai is investing heavily in making its edge network AI-ready, a strategy that directly supports the operationalization narrative its executives are pushing in APAC.
The competitive pressure around AI-optimized content delivery is intensifying as search platforms reshape how users discover and interact with brands. Google published new documentation on optimizing websites for generative AI features in Search, emphasizing non-commodity content, unique perspectives, and well-organized structures aligned with AI-driven search experiences. Google also updated its spam policies to prohibit attempts to manipulate generative AI responses, signaling that the rules governing visibility are being rewritten in real time. For Akamai's partners serving APAC media and entertainment clients, this means the infrastructure layer must now account for both human and machine consumption patterns simultaneously, a requirement that Akamai Partner Connect is designed to address through its enablement framework.
On the security and governance side, the rise of agentic AI workloads is creating new operational challenges that infrastructure providers like Akamai must help customers navigate. Elastic Security Labs identified AI agents, service accounts, and agentic workloads as among the fastest-growing concerns across today's attack surface, with ongoing research into linking AI agent sessions to existing entities through service account tracking and behavioral risk assessment. This governance layer is directly relevant to Akamai's APAC positioning, where enterprises moving from AI experimentation to production deployments in real-time dubbing and transcoding will need security frameworks that can distinguish between legitimate AI agent traffic and adversarial bot activity at the edge. Akamai's AI Brand Presence product already includes bot activity monitoring and edge security as core capabilities, suggesting the company is building toward a unified answer for both visibility and protection in AI-driven environments.
Read full article at crnasia.com
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