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Presented by Converge! Network Digest and AvidThink
2024 AI in Networking
A Collaboration of Converge! Network Digest and AvidThink
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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.
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!
Views expressed are those of the presenting individuals and companies and may not necessarily represent views of Converge! Network Digest or AvidThink.
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.
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.
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.
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.”
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.
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.
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.
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.
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.
Shailesh Shukla, CEO of Aryaka, outlines the three phases of AI adoption in enterprises and discusses Aryaka’s AI-enhanced security and networking approach.
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.
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.
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.
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.
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.
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.
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.
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.
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’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.