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AI, Analytics & Automation - the Keys to Customer Experience Optimization
Date / Time: Thursday, September 20, 2018, 11:00 a.m. New York / 4:00 p.m London
Overview:
 
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Speakers
James Crawshaw, Senior Analyst – Service Provider IT and Automation, Heavy Reading

Stephen Spellicy, Vice President, Marketing & Product, Guavus

Within the universe of automation, a subset of companies is now focused on delivering unique solutions to service providers that take full advantage of the very latest artificial intelligence (AI) technology. The skills of highly trained network engineers are impossible to completely replicate, but data can be leveraged to reduce their workload and augment their decision making. However, there is a daunting challenge: The huge data sets that network teams collect is rapidly increasing with the emergence of IoT and 5G, and it is more and more difficult for humans to analyze using standard tools due to the multi-variant data. Furthermore, with the rapidly changing nature of these real-time systems, rule-based solutions need constant manual updates; this defeats the ROI objective in the first place. Enter AI. We describe how AI can discover and interpret the complex, subtle relationships between events and suggest next best actions. With AI, operators are empowered to run their networks more efficiently and reliably.

Join this webinar to learn:

  • How AI can be applied to improve the efficacy and automation of network operations, including fault management, network alarm management, root issue analysis, predictive maintenance and utilization prediction
  • What the ROI is for investment in AI as it relates to improved performance, cost savings and better customer experience

 

James Crawshaw, Senior Analyst – Service Provider IT and Automation, Heavy Reading
James leads Heavy Reading's OSS/BSS research service. He examines the breadth of software used by communications service providers in customer, business, service and infrastructure management. James's areas of focus include BSS, OSS, SDP, policy management, revenue assurance, service assurance, analytics and business intelligence. He is particularly interested in the impact of SDN and NFV on operator's IT systems.

Prior to joining Heavy Reading, James worked for more than 15 years as an analyst covering technology and telecom companies for various investment banks and industry research firms. He previously worked as a management consultant in industry.

James holds a BSc and MEng in Electrical and Mechanical Engineering from the University of Manchester, England.

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Stephen Spellicy, Vice President, Marketing & Product, Guavus
Stephen Spellicy is a 20-year veteran in the information technology industry with domain expertise in enterprise software, networking, storage and virtualization technologies. He has held a host of senior and executive level positions in product management, marketing, business strategy and planning. Most recently, Stephen led Hewlett Packard Enterprise's product management organization for the information management and governance business, delivering market-leading data protection, archiving, big data analytics and compliance software products to 40,000-plus customers worldwide. He has also held senior leadership roles at EMC, Lucent Technologies, EqualLogic (Dell), Njini and Virtensys.

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Glenn Calafati, Global Marketing Director, Ciena
Glenn Calafati has responsibility for business development within the content industries segment. In this role, he consults with cable operators and media companies on next-generation technologies and service development. Prior to joining Ciena, he was Vice President of Product Development and Technology at Sidera Networks and held similar technology roles at the data center operator Telx and Cablevison's Lightpath division. As Chief Engineer at Cablevision, Glenn led the network planning and architecture defining Ethernet Service delivery architectures for voice, video and enterprise data services across core, distribution and access layers. He started his career with Verizon where he held several technology roles in operations.

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