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Artificial intelligence can boost this year’s virtual conference wins

Due to COVID-19, Chief Information Officers (CIOs) everywhere were forced to rely on virtual conferences to support business. Now those CIOs can use artificial intelligence to help transition from surviving to thriving when it comes to conferences.

Markletic, 2020Markletic, 2020

 

 

To begin, I define a virtual conference as a large international conference that a company holds to garner brand recognition, answer product and service questions, manage relationships and more. An international conference like HPE Discover is a great example.


It's here! Virtual conferences that attract prospects and nurture customers
If you are a CIO in charge of delivering successful virtual conferences and are asking the question, “How can I make my virtual conference a more engaging experience for prospects and customers?”, this article is for you.

Which description describes your company?

  1. You previously held face-to-face conferences and relied on attendee-provided feedback, but the pandemic interrupted your organization’s effort to determine if a virtual conference platform fits your marketing mix. Now you want to understand how artificial intelligence (AI) can help obtain, interpret, and respond to customer behavior data.

  2. You had a virtual conference platform in place, but so far obtaining real-time customer behavior insights has been a laborious and high-cost endeavor. You are no stranger to the challenges surrounding conferences, including poll data reliability, attendance, tech, team accountability, and one-way interactions. You realize more is possible using a platform that can quickly act on customer behavioral insights.

In either case, your company can now let AI drive your virtual conference to greater marketing effectiveness.

If you want powerful AI features at your fingertips, you need a virtual conference platform that can harness your customer data…, Sorin-Christian Cheran

Surprising ways AI can boost virtual conference engagement
What could the capacity to spot changes in your virtual conference do for your business? It could make the difference between tapping into a trend in days versus years. Video analytics, made possible by AI-powered virtual conferences, provides automatic analysis of video content to detect and determine temporal and spatial events.


By using the video analytics capacity of AI to gather and process user data (i.e., attention span, participation, etc.), you can adjust conference content to meet the needs and interests of a broader range of users.

Let’s go over a few benefits and examples of using the video analytics features of AI for virtual conferences:

  • Build Trust with Better Customer Relationship Management
    Although your company may generate great content for international conferences, attendees might leave before the end of sessions. In a face-to-face (F2F) conference, you might rely on employee observations. In an AI-powered virtual conference, an email could be sent to your sales team informing them when session abandonment happens. The sales team can then suggest a follow up course of action. In the past, feedback from surveys decided which content could be retired/replaced. With AI-powered analysis, you can measure alerts and notifications sent each time a trigger event happens.
    Additionally, AI can perform an in-depth analysis of archived data to cross-reference the past with present trend data.

  • Boost Marketing Efficiency with Improved Marketing Personalization
    Presenters want feedback fast after any type of conference.

    With a virtual conference, AI-driven video analytics can rapidly detect and understand the gaze of customers (what area of the screen is viewed, how long, and so on).

    AI can run batches to obtain relevant metric types during a conference and use those batches to derive insights after one day or many sessions.

  • Differentiate Your Brand using Recommender Systems
    Attendees are limited in the amount of sessions they can attend.
    In F2F and virtual conferences, attendees can be overwhelmed when there are hundreds of sessions to choose from. In an AI virtual conference, you can provide a set of choices from which to choose.
    Recommender systems focus on suggesting relevant items to your users.

  • Improve User Satisfaction with Natural Language Processing and Automatic Translation
    Let's say you're presenting to a multi-cultural audience that speaks various languages. A natural language processing feature enables analysis of large amounts of language data for translation into a user’s preferred language. A presentation can be delivered in Chinese, and translated into English, Spanish and other languages.

    In a F2F conference, that is difficult to achieve.

    In a virtual conference, it’s easy. You can perform translations, subtitling, and speech-to-text in real time. Afterwards, you can perform analysis of hot words, behavior analytics, emotional reactions, etc.

    You can also use AI to quickly transform everything said into text and analyze questions simultaneously. You can also generate suggested answers.


How to get started
In conclusion, if you want extraordinary customer engagements, a solid data strategy employed with a data platform that harnesses your customer data (i.e., buyer persona data, preferences, marketing touchpoints and interactions, customer complaints, support cases, etc.), is a prerequisite for getting the most from an AI-driven virtual conference.

HPE PointNext offers a proven way for navigating the AI-backed virtual conference transformational journey, which includes consulting, implementation, management, and outsourcing.
Check it out here.

HPE PointNext can help your company explore use cases in video analytics, recommender systems, speech to text, and natural language processing. You can also get a data strategy and platform in place that leads to exceptional results using AI, with the support of HPE and/or HPE partners. Contact us today.


Sorin Cheran, PhD
HPE Fellow
VP, Artificial Intelligence Strategy and Solutions Group
Hewlett Packard Enterprise

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HPE Fellow, Hewlett Packard Enterprise
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About the Author

Sorin_Cheran

Sorin Cheran is an HPE Fellow and currently serves as VP of HPE’s AI Strategy and Solutions Group which is responsible for the company’s global AI strategy. Since 2007, Sorin has held positions including AI and Chief Architect in Hewlett Packard Labs and as a key member in the Hybrid IT Presales team in the High-Performance Computing (HPC) and AI Competency Center in Grenoble, France.