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2024 AI in Networking

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A Collaboration of Converge! Network Digest and AvidThink

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2024 AI in Networking

Welcome to the NextGenInfra AI in Networking Showcase, a comprehensive resource for enterprise and carrier network executives navigating the complex landscape of AI integration in networking.

We invite you to download our in-depth report: "Pipe Dreams and AI Realities: Networking's Midlife Crisis." The report provides a hype-free and balanced examination of AI's role in the networking ecosystem, use cases of early AI/ML implementations and outcomes, and a roadmap for progress towards autonomous networks. It's designed to support informed decision-making as you consider AI integration strategies for your networks.

Thanks to our sponsors for making this resource possible!

Previously Live Event: Watch the recording of our analysts in a behind-the scenes discussion on the report, including answering audience questions. Available on LinkedIn and on YouTube

UNLOCKED REPORT — no personal info needed to download

Perspectives on AI in Networking from Industry Thought Leaders

2023-fiber-connect-nokia-logo

Our curated video gallery below showcases insights from industry leaders and practitioners actively involved in implementing AI, machine learning (ML), and generative AI (GenAI) in real-world network environments.

Meanwhile, check out the highlights reel on the left featuring Rahul Aggarwal of Augtera, Moshe Lavi of VMware by Broadcom, Andrew Coward of IBM, and Cory Weppler of Nokia, and watch their full videos in the gallery below.

A huge thank you to our sponsors and the thought leaders below for sharing their perspectives!

Reader feedback on Pipe Dreams and AI Realities: Networking’s Midlife Crisis: “well organized,” “appreciated the broad perspectives,” “super insightful.” Grab your copy now and give it a read today!

Content from Sponsors and Thought Leaders

Views expressed are those of the presenting individuals and companies and may not necessarily represent views of Converge! Network Digest or AvidThink.

 AvidThink

Report Webinar on AI in Networking with Analysts

Archana Khetan, Contributing Analyst, and Roy Chua, Principal and Founder at AvidThink, discuss key findings in our AI in Networking report. Archana and Roy discuss the impact across multiple networking domains and the networking lifecycle, as well as predictive and generative AI use cases in discovery, automation, and simulation, and topics like building trust and demonstrating ROI.

 Augtera

Top Use Cases for AIOps in Networking

Rahul Aggarwal, CEO of Augtera, introduces the company’s AI and machine learning platform for network and infrastructure operations, which detects anomalies, predicts issues, and automates event correlation.

 IBM

IBM's AI Recipes for Smarter Networks

Andrew Coward, GM of Software Networking at IBM, explores the application of AI in networking, emphasizing the need for diverse AI methods and distributed algorithms to process extensive telco network data.

 Nokia

Building AI-powered networks that sense, think, and act

Cory Weppler, Head of Technology Strategy for IP Network Automation at Nokia, explores the intersection of network automation and artificial intelligence, highlighting the need for autonomous networks to address modern complexities. He discusses the importance of having networks that can “sense”, “think”, and “act.”

 VMware (a Broadcom Company)

AI-powered Automation & Assurance for 5G

Moshe Lavi, Director of Technology Product Management at VMware (a Broadcom Company), explores how AI and ML can reduce operational costs for service providers managing complex 5G networks.

 Itential

Reshaping Network Infrastructure with AIAutomation

Chris Wade, CTO of Itential, explores how AI will shape network automation, predicting its integration into all products and the creation of smart agents to replace basic interfaces. Chris also touches on the importance of automation to facilitate AI controls.

 Aira Technology

AI Toolsets for RAN Optimization

RaviKiran Gopalan, CTO at Aira Technology, discusses an innovative approach to enhancing network visibility and performance through AI-driven analytics. He explains how AI can provide actionable insights to optimize network operations and improve user experiences.

 Arvani Group

AI Accelerates Productivity

Azita Arvani, former CEO of Rakuten Symphony North America and current board member and entrepreneur with Arvani Group, discusses the significant impact of AI on networking operations and services.

 Arrcus

Four Use Cases for AI in Networking

Sanjay Kumar, VP of Products and Marketing at Arrcus, discusses how AI/ML can enable anomaly detection, closed-loop remediation, and facilitate capacity planning in networks. He also touches on how AI/ML can improve security of networks.

 Aryaka

AI for Enterprise Networking and Security

Shailesh Shukla, CEO of Aryaka, outlines the three phases of AI adoption in enterprises and discusses Aryaka’s AI-enhanced security and networking approach.

 Durham Black

AI for Humans in Networking

Mary Stanhope, President and COO of Durham Black, discusses AI’s potential in software robotics process automation for networking. Learn how AI can optimize tasks like multi-carrier pricing and cost savings, freeing humans for strategic decision-making.

 Hewlett Packard Enterprise

AI-Powered Insights for Networking and Security

If you think you know AI-in-Networking, think again. It’s changing fast. Here is HPE’s Larry Lunetta on new capabilities like built-in Network Detection and Response, third-party observability integration, and Gen Search capability, all powered by their extensive integrated networking data lake.

 Join

Early Bet on Big Data Pays Off for LLM-powered Networks

Karl May, CEO of Join, discusses the how Join’s combination of big data and AI technologies provides operational efficiency advantages and delivers superior experiences for their diverse customer base.

 Linux Foundation

Domain-Specific AI for Networking

Arpit Joshipura, GM Networking + Edge IOT at the Linux Foundation, discusses the emergence of domain-specific AI as the next major development in enterprise verticals like telecommunications and energy. He highlights the Linux Foundation Networking’s collaboration with projects to anonymize data for model training.

 Rakuten Symphony

AI Augments Humans

Geoff Hollingworth, Chief Marketing Officer of Rakuten Symphony, discusses the company’s implementation of AI in networking, highlighting the long-standing use of predictive AI for automated network operations, and the potential of generative AI.

 Red Hat

AI for Network Scalability

Fatih E. Nar, Chief Architect of Application Platform Solutions at Red Hat shares insights on AI’s dual role in networking. He explains how AI can scale networks and generate business insights to create new revenue channels.

 Render Networks

AI for Accelerating Network Construction

Sam Pratt, CEO of Render Networks, explains how AI is speeding up network construction and improving connectivity delivery. AI-powered platforms leverage digital twins and build scenario analysis to boost productivity, cut costs, and ensure efficient network builds.

 Spirent

AI and Automation Unlock Network Operations

Steve Douglas, Head of Market Strategy at Spirent, explores the progression of AI in communications from tactical to strategic applications, highlighting the convergence of analytics, automation, and AI as crucial for network advancement.

 Telstra

Telstra's AI Path to Autonomous Networks

Channa Seneviratne, Technology Engagement & Advancement Executive at Telstra, outlines the company’s AI strategy encompassing network automation, predictive maintenance, and enhanced issue resolution. Telstra’s transition to software-defined networking is enabling more advanced automation..

 Juniper

Envisioning End-to-End Enterprise AIOps

Juniper’s Jeff Aaron explores the progression of AI in networking, focusing on AI for networking automation and networking for AI environments. He introduces Juniper’s AI native acceleration blueprint, which aims to simplify AI framework adoption and enhance network management through data-driven insights and a user experience-centric approach.