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Benjamin Lorenz, Industry Solutions Principal, Telco & Media at MongoDB discusses:
How generative AI can be used in network management, and some of its use cases that enhance operational efficiency and service assuranceHow generative AI can be used in fraud detectionThe role of MongoDB in the AI ecosystemMongoDB's AI Applications ProgramTo learn more, visit www.mongodb.com
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Sandeep Sasikumar, Global Sales for Analytics & AI for Nokia discusses:
How CSPs can leverage both traditional AI and Generative AI to move toward fully autonomous network operationsThe importance of domain-specific data when deploying AI for CSP networksThe importance of domain-specific AI techniques, and examples of these techniquesNokia’s solutions for Generative AI, and how these solutions support CSPs in deploying, managing, and scaling GenAI-powered automationTo learn more, visit www.nokia.com
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Kevin Swank, Marketing Director at ANDREW discusses:
New opportunities for Open RANHow Open RAN in indoor networks differs from outdoor networksBenefits of Open RAN indoors, and what markets stand to gain the mostThe importance of collaboration in advancing Open RANChallenges ANDREW faces in making its solution interoperableCollaborative efforts ANDREW is undertaking in the Open RAN spacePredicted timeline for the widespread adoption of Open RAN for indoor networksTo learn more, visit www.andrew.com
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Purva Rajkotia, Global Director of Global Business Strategy & Intelligence and the Connectivity and Telecom Practice Lead at IEEE SA discusses:
How Generative AI can be used in network managementThe challenges that come with integrating Generative AI functionalities into legacy CSP systems and how CSPs can address thisThe risk of ‘bad data’ when it comes to using Generative AIEnergy concerns when using Generative AI, and how CSPs can be better prepared to tackle thisTo learn more, visit www.ieee.org
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Ambuj Kumar, co-founder and CEO of Simbian discusses:
The impact of using AI for network security and the opportunities it presentsThe role of Generative AIThe use of AI for security vs other networking functions, and the unique challenges that come with deploying AI for securitySimbian’s SOC Agent, Threat Hunt Agent and Questionnaire AgentTo learn more, visit www.simbian.ai
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Rohit Batra, VP and GM, Manufacturing, Telecom, Media and Technology at ServiceNow discusses:
How the use of Generative AI in network management differs from its use in customer service and supportWhy CSPs are particularly well-positioned to deploy and leverage Generative AIServiceNow’s partnership with NVIDIA and how it’s accelerating GenAI adoption for CSPsReal-world customer success storiesTo learn more, visit www.servicenow.com
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Derek Peterson, CTO of Boingo Wireless discusses:
How AI and GenAI enhances the performance and security of private and public networksHow GenAI brings efficiency gains to both public and private wireless networksReal-world examples where Boingo has successfully deployed AI capabilitiesChallenges of using AI in wireless network managementTo learn more, visit www.boingo.com
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Manan Shah, Senior Vice President of Products at Alkira discusses:
‘Networks for AI’ and how networks must evolve to support the demands of AI and GenAI applications‘AI for Networks’ and how AI can be used for network management, specifically in enterprise networksGenerative AI and how it can further enhance AI-powered network automationAlkira's experience with integrating AI and GenAI into its solutions, and how any challenges were addressedTo learn more, visit www.alkira.com
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Dan Crawford, Strategy Manager at Cisco Networking discusses:
The role of Generative AI in network management, beyond its typical use cases in customer service and marketingPopular use cases for Generative AI, such as network test automationHow Cisco helps CSPs deploy Generative AI capabilitiesChallenges in deploying Generative AI in telecom networks, and how Cisco can address these challengesTo learn more, visit www.cisco.com
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Cory Weppler, Head of Technology Strategy, Network Automation in IP Networks at Nokia discusses:
The relationship between AI and networks, and the impact of AI on networksHow AI can improve network performance and efficiencyHow Nokia has been leveraging AI, and Generative AIHow AI can simplify the complexities of today's networksChallenges faced by Nokia's customers in the adoption of AIThe role of Agentic AI in the evolution toward fully autonomous networks, and the challenges that need to be addressed along the wayTo learn more, visit www.nokia.com
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Steve Tang, Executive Vice President, Chief Technology Officer and Head of Engineering at iconectiv discusses:
How advancements in AI, such as Generative AI, have contributed to the rise of online scamsWhy these AI-powered scams are more difficult to detectHow CSPs can use AI to combat fraud and protect subscribers from scams, and the role of authoritative telephone numbering intelligence in training the AI models usediconectiv's solutions and how they help CSPs deploy AI-powered fraud protectionTo learn more, visit iconectiv.com
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Rob Shore, Optical Marketing Executive at Nokia discusses:
The impact of AI, especially Generative AI, on the demand for bandwidth on today’s optical networksThe impact of AI-related traffic on inter- and intra-data center networksHow Nokia is supporting this demand, and some of the latest advancements in their optical networking portfolioNokia's approaches to improve cost- and power-efficiencies in optical networkingGenerative AI's role in optimizing networks and reducing their loadTo learn more, visit www.nokia.com
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Chuck Herrin, Field CISO at F5 discusses:
The term ‘AImateurs’ and what they areThe security risks posed by ‘AImateurs’The best approach to tackle AI-generated code, via robust application security and visibility measuresOther threats that might become more pertinent with the widespread adoption of Generative AIF5’s solutions for Application Delivery and ControlTo learn more, visit www.f5.com
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Titus Jumper, founder of Jovee AI discusses:
Jovee's solutions for CSPsHow Generative AI has reshaped the chatbot landscape, and what sets it apart from traditional solutionsHow Agentic AI fits into the evolution of AI-driven customer serviceChallenges CSPs commonly face in integrating their GenAI-powered chatbots with existing infrastructureData quality as a challenge, especially for training and testing AI and GenAI modelsTo learn more, visit jovee.ai
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Andrew De La Torre, Group Vice President of Technology, Oracle Communications discusses:
Autonomous Operations in telecom and why they are importantWhere telecom companies stand today in terms of automationHow AI can predict and prevent network failuresOracle’s AIOps Enablement FrameworkReal-world AIOps use cases in telecomHow Oracle’s AIOps strategy compares to competitors like IBM, Infosys, and AccentureThe roadmap for AIOps and the future of predictive intelligence in 5GTo learn more, visit www.oracle.com
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Tony Huang, Product Management Lead at LIONS USA Technology discusses:
Challenges in ensuring RUs are interoperable with other Open RAN components How RUs contribute to enabling AI-driven applications, particularly in areas like real-time data collectionUses cases or applications where Open RAN brings the greatest benefitReal-world deployments by LIONSWhat makes LIONS an ideal partner for Open RAN deployments, both indoor and outdoorTo learn more, visit lions.technology
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Jonathan Kwan, Product Line Manager for AI/ML Network Software Solutions at Fujitsu Network Communications discusses:
What AIOps looks like in practice for CSPsHow advancements in Generative AI, including LLMs like ChatGPT, have reshaped the AIOps landscapeRecent developments driving AIOps adoptionHow Fujitsu empowers CSPs to deploy and manage AI-driven network operationsTo learn more, visit us.fujitsu.com/telecom
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Andrew Coward, GM of Software Defined Networking at IBM discusses:
The role of GenAI at the data layer, analytics layer and automation layer in the CSP ecosystemGenAI use cases that are generating the most interest among CSPs, and the highest deployment or roll-out ratesGSMA and IBM's partnership that offers telcos access to IBM’s AI and data platform, watsonx, to help them develop telco-specific GenAI use casesChallenges CSPs face when deploying GenAI, and how can IBM address themTo learn more, visit www.ibm.com
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Aaron Boasman-Patel, VP of Innovation at TM Forum discusses:
How GenAI can help CSPs move beyond traditional connectivity and unlock new revenue opportunitiesThe potential for GenAI to be used in network managementThe importance of ecosystem partnerships when it comes to deploying GenAITM Forum's work in ‘AI and Data’ innovation, and how it, along with other projects such as Open Digital Architecture (ODA) and Autonomous Networks (AN), help CSPs become AI-nativeTo learn more, visit www.tmforum.org
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John Capobianco, Product Marketing Evangelist at Selector discusses:
How telcos can leverage AI to reduce Mean Time to Identify (MTTI), Mean Time to Detect (MTTD), and Mean Time to Repair (MTTR) across telecom networksHow GenAI technologies like LLMs and co-pilots improve network managementIf human operators will be replaced as the adoption of AI and Generative AI increases, or if AI is more about enhancing their performance and decision-making capabilitiesSelector’s AIOps solution and some of the features that make it stand apart from the restExamples of real-world scenarios where Selector's solutions successfully identified and resolved a critical network issue that would have otherwise gone unnoticedTo learn more, visit www.selector.ai
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