Tag Archives: AI

Mixing Virtual and Real-World Experiences at Events

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We've talked about the impact Virtual Reality (VR) and Artificial Intelligence (AI) are having in government work, but the technologies also stand to make a huge difference in the events world. This opens up new possibilities for learning and interaction. Currently, VR is being introduced into events as entertainment -- an add-on experience to networking and gala dinners. AI is being used behind the scenes to expedite event logistics. Soon, both technologies will make their way further into events and change how attendees interact with the event and each other.

  • International Collaboration - Google is testing a new speech-to-speech translation technology, Translatotron, which would enable real-time translation at events. Through headsets, attendees would hear a close approximation of the speaker's voice in their selected language in near real-time. The AI translation can run as long as people are willing to talk and listen. Events could use this two-way communication technology for general session Q&A as well as one-on-one networking.
  • Accessibility - AI and VR are reimagining sign language interpretation. HoloHear uses Microsoft HoloLens goggles to show a signing virtual reality figure. This augmented reality helps the deaf maintain focus on the speaker, on-stage visuals, and the translator.
  • Training - While face-to-face interaction will continue to be a huge part of events and training, VR-led training is being introduced to tackle a number of more "challenging interpersonal scenarios" where in-person training might be uncomfortable.
  • More realistic experience - An event is a great place to get hands-on with a product, but it may not be the best place to truly experience a product. This article illustrates how using VR can put people in the ideal atmosphere. For example, the reaction someone may have to drinking an expensive champagne may be different if they are looking around a noisy tradeshow floor versus being immersed in a VR experience at a five-star restaurant. Building the right atmosphere for the initial product experience may lead to a better reception and reaction.

We'd love to hear from you! What are some applications of VR and AI you've seen at events? Share your thoughts in the comments. Visit GovEvents for more government events worldwide.

AI 2020 – Artificial Intelligence Making an Impact in Government

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Artificial Intelligence (AI) continues to dominate tech headlines. Now, rather than learning what the technology could mean for government, we're reading about where it's being implemented, and the results being achieved. A recent report found that AI is no longer considered optional, but rather a critical component to managing and using large amounts of data. IT leaders in government are looking to AI to automate routine, data-oriented tasks, ease access to diverse sets of data, prioritize tasks based on the benefit to the organization, and generally keep track of ever-growing streams of data.

The Intelligence Community (IC) has long been a top consumer and analyzer of data in government. Not surprisingly, they have embraced AI technology to supplement the work of analysts by reducing the amount of manual data sorting with machine-assisted, high-level cognitive analysis. AI is being used to help triage so the highly-trained analysts can spend their time making sense of the data collected by looking at the most valuable and seemingly connected pieces.

Health and Human Services (HHS) implemented an AI solution when they needed to quickly procure Hazmat suits to meet the response to an Ebola outbreak. Procurement officials were able to use AI to make like-to-like comparisons among products. After the initial tactical analysis, the acquisition teams were able to use the data gathered on department wide pricing and the terms and conditions to better define parameters for ten categories of purchases.

Despite the successful implementations in many agencies, AI is still in the pilot and introductory phase. The Air Force is making it easier to begin experimenting with AI. Because the DoD has strict rules about what can be put on their networks, it is difficult to introduce new technologies into the production environment. The Air Force has created a workaround with the Air Force Cognitive Engine (ACE) software platform, a software ecosystem that can connect core infrastructures that are required for successful AI development (people, algorithms, data, and computational resources).

HHS is looking to use AI to analyze dated regulations as part of their AI for deregulation project. The pilot has found that 85 percent of HHS regulations from before 1990 have not been edited and are most likely obsolete. Using AI to flag regulations with the term "telegram," for example, will begin the prioritization of data that needs to be looked at by humans.

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No More Poker Face – Decoding Attendees’ Real-Time Reactions

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We've written here about how the government is looking at facial recognition to improve security and make access to places and data more efficient. While the policy and technology challenges are worked out within multiple government use cases, event planners can look to the same technology to improve how they deliver content and education.

As this article points out, surveys provide a snapshot of audience reaction to an event, but they do so in days, even weeks after it has wrapped. Additionally, there is a lot of effort that goes into getting survey responses back and analyzed, and even then, the sample size may not be statistically valid.

Good speakers and planners know the power of reading the room and adjusting on the fly to keep and increase audience interest and participation. But bright lights, sheer audience size, and general logistics make that problematic. Tracking social media can also provide a real-time pulse on how attendees are digesting and reacting to content. But getting this feedback is dependent on attendees using these platforms and using them in real-time. With facial and biometric technologies, event planners and marketers can remove these challenges and dependencies and collect attendee feedback without having to ask anything of those attendees.

Audience engagement tools using biometrics can identify attendees' emotions without identifying the face or person. In one implementation, video cameras mounted at the side of the stage film the facial expressions of the audience. This feed is run through AI-powered software to identify and track expressions of the people watching the stage and what emotion they are expressing (fear, anger, happiness, etc.). A raw look at this data is available, but within a couple of minutes the software can more fully analyze it and provide a quick view if the audience is reacting positively or negatively.

Following the event, speakers can go back through the data to see where there were emotional peaks. From there, speakers can update their content based on the points that made the most significant connection with the audience.

Pricing can vary depending on the type of technology used and the analytics being run. On average, costs fall in the $5,000-$10,000 range. Some companies offer pricing per attendee, and others have a flat fee. While this can be a large investment, if you weigh the cost of facial recognition against the costs associated with speaker fees, and the event budget in general, spending money to find the effectiveness of sessions makes a lot of sense for future planning.

What are your thought on using facial recognition technology for event planning and management? Have you tried it? Do you want to? Share your thoughts in the comments.

Easy as RPA

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Robotic Process Automation (RPA). It may sound like a premise to a movie where robots take over the world, but it's very real and it's helping organizations realize modernization goals. Despite the name, RPA has nothing to do with robots. It is about software that uses artificial intelligence (AI) to automate high-volume, repetitive tasks. This can include queries, calculations, and maintenance of records and transactions.

In government, RPA is already being implemented in a wide variety of applications.

  • Inspections - As agencies look to modernize the way they perform inspections of the water we drink, the roads we travel, and the buildings we travel to, they are using RPA to move off paper-dependent processes.
  • Claims review -- RPA is built into an intake tool used by the Centers for Medicare and Medicaid that ingests records, automating the process and identifying potential problems.
  • Procurement - RPA is being used to automate and streamline the close-out process of government contracts, freeing up staff to work on actual programs, rather than spending time documenting that work.
  • IT asset management - Managing IT assets is a combination of automated and manual tasks. The introduction of RPA greatly reduces the need for manual intervention when it comes to enforcing governance and process, freeing up staff to work on mission-focused projects rather than tracking the technology used on those projects.

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Acquisition and Procurement: Where the Rubber Meets the Road

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With another Government Fiscal Year ramping up, we're starting with a whole new year of budget and contract opportunities in the government market. As we've written here before, the acquisition and procurement process in government is evolving to adapt to the technologies and services being procured as well as changes in the workforce that supports it.

The federal government has been rolling out a number of changes to modernize the procurement process. The Government Services Administration (GSA) is taking steps to streamline their scheduled offerings from two dozen into one. The goal of this consolidation is to remove overlap between schedules and eliminate confusion around what schedule should be used. This shift is happening in three phases:

  • Phase 1 -- Issued a consolidated schedule solicitation with a simplified format, streamlined terms and conditions, and new categories and special item numbers (SINs) This phase is complete.
  • Phase 2 -- Mass modifications of existing contracts. Finishing in 2019.
  • Phase 3 - Final consolidation. Slated for July 2020.

In other efforts to be more efficient, procurement teams across government have been looking at implementing emerging technologies to automate manual processes, plus speed up and secure the overall acquisition lifecycle. For example, the use of blockchain is helping buyers "comparison shop" for pricing as well as closing out contracts.

Finally, acquisition groups are playing a big role in ensuring new technologies like Artificial Intelligence (AI) are consumable by the federal government. GSA is partnering with the Pentagon's Joint Artificial Intelligence Center to advance the efforts of the AI Center of Excellence, employing tactics that have worked in other agencies including the Department of Agriculture.

We've pulled together a number of events that are applicable to the procurement community as well as industry and government looking for ways to introduce new technologies and services into the government.

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