This whitepaper proposes the concept of ‘evolved intent-based networks (IBN)’, which utilises pervasive intelligence from across an entire communications network to automate and simplify network configuration and optimisation.

This concept comes at a time where incessant demand for high performance connectivity across industries has left it struggling to scale up and handle the increasing levels of configuration and adaption required. Something has to give. We believe tough industry challenges demand bold, ingenious solutions – which is certainly the case here.

IBN in its conventional form is a known software-enabled process that configures infrastructure on the basis of a business intent. This method of network administration incorporates artificial intelligence (AI) and network orchestration to automate administrative tasks from a centralised point on a network.

The problem with this centralised approach is that it does not draw on intelligence from all the devices or nodes that are connected to the network. Our concept of evolved IBN, on the other hand, does just that – utilising pervasive intelligence from across the entire network.

This means it can deliver truly holistic and comprehensive network administration to simplify the creation, management and enforcement of network policies, significantly reducing manual tasks.

The ability to flexibly initiate evolved IBN to address a specific business need – and for the end customer to have complete confidence that a specific service and experience level will be delivered – is transformative. In this paper we outline why IBN is attainable and identify those who can benefit from the commercial opportunities it offers.

Download the paper here

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The pervasive intelligence of evolved intent-based networking_0.pdf
ラム ナイドゥ
ワイヤレス&デジタルサービス事業本部 機械学習G グループリーダー

北米地域AIチームの責任者。AIを活用した世界トップクラスのイノベーションを社会実装するため、卓越したリーダーシップを発揮してきました。困難な問題を解決し、優れた製品とサービスを構築することに専念するチームをインスパイアして指導することに情熱を注いできました。Questrom School of BusinessでMBAを、Boston University College of Engineeringで博士号を取得し、製品戦略や商品化、イノベーションマネジメント、AIに関する重要な専門知識を有しています。