This challenge is a significant opportunity for communications service providers to explore and harness the capabilities of artificial intelligence (AI). With Generative AI (GenAI) as a driving force, telecom companies can aspire to realize a substantial 30% increase in EBITDA (Earnings Before Interest, Taxes, Depreciation, and Amortization) and strategically enhance operational efficiency.
This technology can be employed to optimize network management, enhance customer service, or streamline various internal processes. By doing so, telecom providers can not only deliver superior services but also reduce operational costs, thus significantly impacting their earnings.
GenAI can also help in predictive maintenance of network infrastructure, personalized customer interactions, and innovative pricing strategies, ultimately contributing to the growth and competitiveness of telecommunication businesses in a rapidly evolving industry landscape. The possibilities are endless.
Each Moonshot Challenge will be allocated a board-level Executive Coach to provide invaluable feedback on business readiness and technical viability. Executive coaches would be scheduling a 30-minute advisory call with allocated Moonshot Catalysts, to guide them & offer their feedback.
Anton Reynaldo Bonifacio
EVP, CISO and CAIO
Globe Telecom
Anton has been working in the various domains of IT and Cybersecurity for over 20 years. He became one of the first Red Hat Linux Certified Engineers (RHCE) and the youngest Certified Information Systems Security Professional (CISSP) in the Philippines in 2006 at 23. He was awarded with the Certified Information Security Manager (CISM) Top Scorer Award for the December 2008 examinations. Anton is currently the Chief Information Security Officer for the Globe Group in the Philippines, where he has built, grown, and continues to develop one of the few converged and group-wide Cybersecurity and Privacy teams, looking after both IT and Network as well as Globe's other portfolio companies across multiple industries. He concurrently serves as the company's Chief AI Officer, leading AI strategy, development, and enablement efforts.
Dr. Kapil Singhal
VP Data & Analytics
Vodafone Idea
Dr. Kapil Singhal is an experienced Analytics, Data and Business Intelligence Leader with 21+ years of demonstrated history of working in multiple industries. Skilled in BI platforms, advance analytics, , AI , ML and cloud solutions specializing in influencing data driven culture. As a Vice President (VP) and Head of the Data & Analytics (D&A) Practice at VIL, he lead the practice of Analytics /AI-ML / Data Science. Also Partnering the vision of VIL to implement generative AI by implementing the first telecom LLM (Large Language Model) and Enabling the Data as a service over a zettabyte of datalakehouse.
Dr Yue Wang
Chief Technologist – Network and AI
China Telecom
Dr. Yue Wang is a Chief Technologist – Network and AI at China Telecom. Prior to this role, Yue held various leadership, strategy, and research positions in the US and UK. In particular, she has been the Head of 6G Research and, subsequently, Head of Advanced Network Research, at Samsung Research UK, leading the research and development of Advanced 5G and 6G technologies, in areas such as AI-native networks, network system architecture, and O-RAN. Yue obtained her PhD from University of Victoria, Canada.
Kenichi Tayama
Senior Reserch Engineer, Supervisor
NTT Group
Kenichi Tayama joined NTT in 1995. Since then, he has been engaged in the research and development of access network operations, and planning and development of internal IT systems, and network operations and maintenance. He is now a group leader, senior research engineer, supervisor, Operation Information Management Technology Group in NTT Access Network Service Systems Laboratories.
Unlocking new revenue streams with a GenAI-powered care co-pilot for seamless multi-channel interactions: empowering care teams, enhancing self-care, and supporting wholesale customers.
The objective is to develop several new use cases that demonstrate the efficiency and potential of Generative AI when integrated into edge devices.
Driving innovation via an AI-powered ecosystem, ensuring business and ecosystem assurance for smart vertical partners within a composable IT framework.