CASE STUDY optimize asset management and maintenance based on real-time location and condition data ; and model potential natural disaster scenarios to develop proactive mitigation strategies . Indosat will also leverage these tools to identify areas with high growth potential but limited network coverage , informing its strategic decisions to expand network capacity and bridge the digital divide between urban and remote communities . y Augmented network and IT operations : Selfoptimizing systems that are powered by custom ML and multimodal models will predict ROI from capital investments ; reduce energy consumption ; optimize asset design and utilization ; and proactively detect and resolve issues . This results in cost savings , more sustainable operations , and improved service reliability . For example , AI can dynamically adjust cell tower power levels during off-peak hours , assist field technicians in rapidly diagnosing and resolving faults based on their verbal and visual inputs and intelligently reroute network traffic to avoid faulty components while repairs are being made . Additionally , gen AI-powered agents that assist with code generation , completion and troubleshooting will be deployed to significantly increase IT teams ’ development and delivery velocity , leading to faster time-to-market and time-to-value for reliable software products and services . y Back-office transformation : Custom gen AI-powered enterprise search applications will enable HR , legal , procurement and finance teams to instantly access the precise information they need to excel in their job roles . By simply asking questions in natural language , they will receive accurate , contextually relevant answers or summaries from vast amounts of unstructured data , such as policies , contracts , financial reports or employee records , thereby eliminating the need for manual searches , accelerating decision-making and boosting overall productivity .
In addition to implementing these solutions across Indosat ’ s business operations , Indosat and Google Cloud will also explore joint go-to-market initiatives to empower Indonesia ’ s digital ecosystem . They will look to provide micro , small and medium enterprises ( MSME ), startups , enterprises and public sector organizations with access to these solutions , alongside Google Cloud ’ s AI-optimized infrastructure , unified data platform and unified AI development platform . for success . Our collaboration with Google Cloud is not just a pivotal milestone for Indosat , but also a significant stride in our mission to transform into an AI Native TechCo . Together , we will harness the full potential of cloud and AI to drive innovation , create new opportunities and propel Indonesia ’ s digital economy forward .”
Karan Bajwa , Vice President , Asia Pacific , Google Cloud , said : “ Indosat ’ s early adoption of cloud-native
THESE INITIATIVES WILL NOT ONLY DEMONSTRATE
THE TRANSFORMATIVE POWER OF AI IN
TELECOMMUNICATIONS ,
BUT ALSO SERVE AS A BLUEPRINT FOR OTHER SECTORS SEEKING TO HARNESS THIS TECHNOLOGY TO DRIVE GROWTH AND NATIONWIDE IMPACT .
architectures and an AI-ready data analytics platform exemplifies its forward-thinking approach . This strong foundation , established through our collaboration from 2021 , is now enabling Indosat to pursue a wide range of high-value ML and gen AI use cases at scale – and we ’ re excited by the possibilities . These initiatives will not only demonstrate the transformative power of AI in telecommunications , but also serve as a blueprint for other sectors seeking to harness this technology to drive growth and nationwide impact .” p
Vikram Sinha , President Director and Chief Executive Officer , Indosat Ooredoo Hutchison , said : “ As Indonesia steps into the digital era , we remain committed to Indosat ’ s larger purpose of empowering Indonesia by providing businesses and individuals with the essential tools and technologies needed
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