2024 Showcase

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.
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2024 AI in Networking

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Analysis by AvidThink

What the 2024 AI in Networking report finds

Across these interviews, AI moves from experiment to operating layer, spreading across the full network lifecycle. Vendors converge on AIOps for detection and remediation, autonomous networks that sense and act, and generative AI for search and agents, while keeping humans, trust, and ROI at the center.

  1. AIOps detects and remediates

    Arrcus applies AI/ML to anomaly detection, closed-loop remediation, and capacity planning, while Augtera's platform detects anomalies, predicts issues, and automates event correlation for network operations.

  2. From automation toward autonomy

    Nokia frames networks that sense, think, and act, Telstra pursues autonomous networks via software-defined networking, and Juniper's AI-native blueprint targets end-to-end enterprise AIOps.

  3. Generative AI enters the stack

    HPE adds Gen Search atop its networking data lake, Itential predicts smart agents replacing basic interfaces, and Rakuten Symphony sees generative AI extending its long-standing predictive AI.

  4. Data foundations and domain focus

    IBM stresses diverse AI methods and distributed algorithms for telco data, the Linux Foundation pushes domain-specific AI with anonymized training data, and Join leans on an early big-data bet.

  5. Humans stay in the loop

    Durham Black uses AI robotic process automation to free humans for strategic decisions, Rakuten frames AI as augmenting humans, and AvidThink emphasizes building trust and demonstrating ROI.

  6. AI beyond operations

    Render Networks applies digital twins and scenario analysis to accelerate network construction, while Red Hat sees AI both scaling networks and generating insights that open new revenue channels.

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Highlights from industry thought leaders

Video interviews

Aira Technology

AI Toolsets for RAN Optimization

  • Aira Technology uses AI-driven analytics to enhance network visibility and performance.
  • AI provides actionable insights to optimize operations and improve user experiences.
Abstract
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.
Arrcus

Four Use Cases for AI in Networking

  • Arrcus applies AI/ML to anomaly detection, closed-loop remediation, and capacity planning.
  • AI/ML also helps improve network security.
Abstract
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.
Arvani Group

AI Accelerates Productivity

  • Azita Arvani discusses AI's significant impact on networking operations and services.
Abstract
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.
Aryaka

AI for Enterprise Networking and Security

  • Aryaka's Shailesh Shukla outlines three phases of AI adoption in enterprises.
  • He describes Aryaka's AI-enhanced security and networking approach.
Abstract
Shailesh Shukla, CEO of Aryaka, outlines the three phases of AI adoption in enterprises and discusses Aryaka's AI-enhanced security and networking approach.
Augtera

Top Use Cases for AIOps in Networking

  • Augtera's AI and machine learning platform detects anomalies, predicts issues, and automates event correlation for network operations.
Abstract
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.
AvidThink

AI in Networking: Simplifying Complexity Across the Full Lifecycle

  • AvidThink covers AI's impact across networking domains and the full networking lifecycle.
  • Predictive and generative AI use cases span discovery, automation, and simulation, plus trust and ROI.
Abstract
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.
Durham Black

AI for Humans in Networking

  • Durham Black's Mary Stanhope discusses AI in software robotic process automation for networking.
  • AI can optimize tasks like multi-carrier pricing, freeing humans for strategic decisions.
Abstract
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

  • HPE adds built-in Network Detection and Response, third-party observability integration, and Gen Search capability.
  • The capabilities are powered by HPE's extensive integrated networking data lake.
Abstract
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.
IBM

IBM's AI Recipes for Smarter Networks

  • IBM's Andrew Coward emphasizes diverse AI methods and distributed algorithms to process extensive telco network data.
Abstract
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.
Itential

Reshaping Network Infrastructure with AIAutomation

  • Itential's Chris Wade predicts AI integrated into all products, with smart agents replacing basic interfaces.
  • Automation is essential to facilitate AI controls.
Abstract
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.
Join

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

  • Join's Karl May says combining big data and AI delivers operational efficiency advantages.
  • The approach delivers superior experiences for a diverse customer base.
Abstract
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.
Juniper

Envisioning End-to-End Enterprise AIOps

  • Juniper distinguishes AI for networking automation from networking for AI environments.
  • Its AI-native acceleration blueprint aims to simplify AI adoption and enhance network management.
Abstract
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.
Linux Foundation

Domain-Specific AI for Networking

  • The Linux Foundation's Arpit Joshipura sees domain-specific AI as the next development in verticals like telecom and energy.
  • Linux Foundation Networking collaborates with projects to anonymize data for model training.
Abstract
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.
Nokia

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

  • Nokia's Cory Weppler explores autonomous networks that sense, think, and act to address modern complexity.
Abstract
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."
Rakuten Symphony

AI Augments Humans

  • Rakuten Symphony has long used predictive AI for automated network operations.
  • Geoff Hollingworth notes the potential of generative AI.
Abstract
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

  • Red Hat's Fatih Nar explains AI's dual role in scaling networks and generating business insights.
  • Those insights can create new revenue channels.
Abstract
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

  • Render Networks uses AI-powered platforms with digital twins and build scenario analysis.
  • The approach boosts productivity, cuts costs, and ensures efficient network builds.
Abstract
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

  • Spirent's Steve Douglas traces AI's progression from tactical to strategic applications in communications.
  • The convergence of analytics, automation, and AI is crucial for network advancement.
Abstract
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

  • Telstra's AI strategy spans network automation, predictive maintenance, and enhanced issue resolution.
  • Its shift to software-defined networking enables more advanced automation.
Abstract
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..
VMware (a Broadcom Company)

AI-powered Automation & Assurance for 5G

  • VMware's Moshe Lavi explains how AI and ML reduce operational costs for providers managing complex 5G networks.
Abstract
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.
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!
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