Harnessing Unstructured Data: Paving the Way to GenAI DominanceHarnessing Unstructured Data: Paving the Way to GenAI Dominance

For the first time, Generative AI empowers Communication Service Providers (CSPs) to extract immense value from vast amounts of unstructured text and documents without requiring deep data science expertise.

Jim Hodges, Chief Analyst - Cloud and Security, Heavy Reading

July 29, 2024

The golden rule is simple: the quality of GenAI output directly depends on the quality of the data it’s trained on. Join us for an insightful conversation with Gal Schreiber, Amdocs's product marketing director, Data & AI led solutions, as we explore the crucial need for clean, accurate, telecom-specific data and how fragmented and siloed data environments can hinder successful GenAI projects.

Learn more about Amdocs Data intelligence solutions here

About the Author

Jim Hodges

Chief Analyst - Cloud and Security, Heavy Reading

Jim leads Heavy Reading's research on the impact of NFV on the control plane and application layers at the core and edge. This includes the evolution path of SIP applications, unified communications (UC), IP Multimedia Subsystem (IMS), session border controllers (SBCs), Diameter signaling controllers (DSCs), policy controllers and WebRTC. Jim is also focused on the network and subscriber impact of Big Data and Analytics. He authors Heavy Reading's NFV and SDN Market Trackers. Other areas of research coverage include Subscriber Data Management (SDM) and fixed-line TDM replacement. Jim joined Heavy Reading from Nortel Networks, where he tracked the VoIP and application server market landscape and was a key contributor to the development of Wireless Intelligent Network (WIN) standards. Additional technical experience was gained with Bell Canada, where he performed IN and SS7 network planning, numbering administration, technical model forecast creation and definition of regulatory-based interconnection models. Jim is based in Ottawa, Canada.

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