Singtel has launched a low-code platform designed to help businesses develop, test and deploy artificial intelligence (AI) applications without the need for extensive programming skills.
The platform, called AI Studio, is part of Telco's push to become an AI-first company under the ST28 strategy, aiming to lower barriers to companies adopting AI at a safe and large scale.
Available with the provision of Singtel's Cubς Network-as-a-Service, organizations can access built-in tools for creating AI agents and digital twins, switching between different major language models (LLMs), and monitoring security and performance through a single portal.
Speaking at today's launch event, Lee Kwan Yong, Vice Chairman of Enterprise Products in Syntel Singapore, said that low-code platforms address the evolving needs of companies tackling the complexities of AI deployments.
“We see customers saying they want to try out AI agents, but we want to know how to safely bring them together. We also hear trends from customers looking to deploy on-premises AI infrastructure due to potential, governance and cybersecurity concerns,” Lee said.
To address these demands, Singtel focuses on creating AI-Ready networks with secure, reduced connectivity. It offers a robust AI infrastructure, including on-premises options through partners such as Cisco. Embed security in all layers.
Lee revealed that Singtel is using AI internally to triage network incidents, reducing the number of incidents from 45,000 to around 14,000. Through automation, this has been reduced to around 500 incidents that require further manual intervention.
In Cybersecurity, the use of AI allowed Singtel's Security Operations Center (SOC) to focus on addressing only 1% of related security incidents. “This allows the SOC to focus on actual incidents and rule out noise. This has not been possible in the past,” he said.
The latest expansion of the Singtel'sCubς portfolio is as companies in the Asia-Pacific region work on ways to leverage AI while managing risk.
Deepika Giri, vice president of AI research at Analyst Farm IDC and head of AI research, was highlighted at the event that companies are increasingly supporting a controlled environment for AI deployment.
“Even though genai's widespread popularity [generative AI] Solutions like ChatGpt, where 65% of Asia-Pacific organizations actually prefer private versions of the Genai model, “this trend drives a strong need for private AI deployments.”
These deployments are increasingly happening with hybrid infrastructures designed to optimize performance, reduce costs and latency, maintain compliance and tailor to a variety of AI workloads. “Hybrid AI is no longer an option, but it is a strategic enabler for ensuring AI workloads are flexible and ubiquitous in businesses,” she said.
With AI Studio and its Cubς portfolio, Singtel not only hopes to provide an infrastructure foundation for AI, but also create an ecosystem where partners and customers can securely access their own network data via application programming interfaces (APIs), integrate with corporate applications, and collaborate with AI applications.
“Our vision is to bring together service providers, customers and partners to drive a community of humans and agents in a very different world of AI,” he said.
