At an event, there’s no shortage of people to meet, companies to explore, or products to discover. The challenge is knowing which opportunities are actually worth the attention.

Recommendations can help narrow that choice, but their value lies in more than simply presenting options. The goal is to help users discover the opportunities that matter most, with enough context into the relevance to understand why they’re worth exploring.

That’s where our upgraded Recommendation Engine comes in, making discovery more contextual, proactive, and easier to navigate.

A More Integrated Recommendation Experience

The Recommendation Engine has been upgraded to improve how recommendations are generated and experienced across the Engagement Hub.

Top Picks is now integrated into People, Companies, and Product pages, bringing personalized recommendations directly into the discovery experience. It now appears alongside the content users are already exploring, making relevant suggestions more visible throughout the platform. This helps users to uncover more relevant opportunities as they explore.

Behind this broader experience are three key improvements: the engine considers more context when identifying recommendations, prepares them proactively, and gives users clearer reasons behind each suggestion.

Recommendations That Go Beyond Stated Interests

Recommendations are more useful when they can account for more than what users explicitly say they’re interested in.

Our upgraded recommendation considers a broader range of context, including user attributes, actions, mutual interests, and patterns among people with similar interests. This allows recommendations to reflect different ways a connection can be relevant.

For example, a recommendation might fit a user’s preferences because it aligns with their interests. It could also appear because someone is seeking their profile, creating an opportunity that the user may not have actively searched for. A mutual match can indicate interest on both sides, while “Popular with peers” can surface something that people with similar interests are engaging with.

This creates more ways for users to discover relevant people, companies, and products — without relying entirely on what without relying entirely only on their profiles matches.

Recommendations That Are Ready When You Are

Relevance is only one part of the discovery experience. Timing matters too.

Previously, recommendations were generated when users initiated the discovery process. The upgraded engine now prepares recommendations proactively in the background, so they can be ready when users begin exploring.

This changes the experience from one that reacts to a request into one that works ahead of it. Instead of waiting for recommendations to be generated at the moment they are needed, users can start exploring with recommendations already prepared.

That matters in an event environment, where attendees and exhibitors are often moving between conversations, meetings, sessions, and other activities. When time and attention are limited, discovery should help users move forward — not add another step to the process.

Know Why Something Is Recommended

Even a relevant recommendation can be difficult to act on if there is no context behind it.

The upgraded experience introduces Match Labels directly on recommendation cards, giving users an at-a-glance explanation of why something has been recommended. Labels such as “Fits your focus,” “Mutual match,” and “Popular with peers” provide an immediate indication of the connection. More detailed matching information can then be explored within the relevant profile or page.

This changes an important part of the recommendation experience: users no longer have to assess suggestions without context. They can see the reasoning behind it and judge whether the connection is relevant to them.

That context can make recommendations easier to trust — not because users are asked to trust the system blindly, but because they have more information to make their own assessment.

Better Recommendation, Better Discovery

The upgrade to our Recommendation Engine is ultimately about more than improving how recommendations are generated.

It’s about making discovery more useful at every step: finding relevant opportunities through richer context, having recommendations ready when they’re needed, and understanding why they appear in the first place.

The goal isn’t more recommendations. It’s to help them discover the opportunities that matter most — and give them the context to decide what to explore next.

Want to see how Jublia AI can make discovery more relevant for your event? Book a demo to explore the Engagement Hub and our latest recommendation capabilities.

‍

Organized by Informa Markets, PPKA 2026 or ProPak Asia 2026 is the region’s premier trade show for the packaging and processing industry, taking place at IMPACT Muang Thong Thani, Bangkok, Thailand, between June 10-13, 2026. 

At a trade show like ProPak Asia, success isn't measured by attendance — it depends on whether the right business meetings actually happen. 

While many networking platforms can schedule meetings, achieving consistently high meeting fulfillment requires much more than enabling matchmaking. It demands a carefully designed meeting programme, close collaboration, and continuous adjustments before and during the event. That's exactly how Informa Markets has approached ProPak Asia year after year. 

Challenges: Enabling Meetings When It Matters Most

The need to ensure that meetings actually happen introduced several challenges:

• Ensuring qualified buyer participation. All selected qualified buyers are required to schedule meetings during the event. This means the organizer must provide the right networking recommendations on the platform so attendees can find relevant people and have meaningful conversations. 
• Low initial meeting conversion rate. Given the event format, meetings were especially crucial, but some exhibitors slowed down in responding to meeting requests, resulting in an initially low meeting conversion rate leading up to the event day.
• Late-stage onboarding challenges. Towards the start of the event days, a crucial onboarding challenge emerged that risked leaving highly qualified buyers outside the meeting programme, which made rapid coordination between vendors and the organizer essential. 

Adapting Strategies and Platform for Meeting Conversions

To ensure meetings took place and deliver business value, Informa Markets worked together with the Jublia AI team to adjust the strategy:

• The organizer actively monitored meeting confirmations to catch the low initial conversion numbers and set meeting requests to be automatically accepted when exhibitors' response slowed, as per Jublia AI’s Customer Success recommendation —  requiring Jublia AI’s team and the organizer to proactively communicate the changes with buyers and exhibitors.
• Adapted to real-time needs, providing strategic and technical solutions to the organizer to ensure buyers can be onboarded to the meeting programme on time leading up to the event days.  

This demonstrated that successful meeting programmes aren’t only possible through opening and facilitating networking to attendees. They are built through deliberate planning, continuous monitoring, and the flexibility to adapt strategies as the event evolves. 

The Results: High Numbers of Fulfilled Meetings and Buyers

Through the combination of an adaptive Web App and proactive iteration from the organizer, ProPak Asia 2026 achieved strong meeting conversion performance:

• 1000+ fulfilled meetings. Continuous monitoring and timely programme adjustments helped translate attendee interest into confirmed business conversations, reflected by the high number of fulfillments.  
• 6.5x growth in confirmed meetings. By identifying and circumventing friction in the meeting confirmation process through automatically accepting requests and proactive communications, the organizer rapidly converted idle networking opportunities into confirmed meetings right before the event began. 
• Additional qualified buyers were onboarded on time. Proactive adaptation mitigated the risk of leaving buyers out of the meeting programme just one week before the event, delivering maximum business value potential that would have been lost.
• Accurate buyer identification. Jublia AI's flexibility lets the organizer and our team adapt the platform on time to accurately identify buyers based on the number of meetings completed, enabling exhibitors to connect with the right buyers. 

The high number of meetings and onboarded buyers showed how the event successfully enabled business conversations through engagement. 

Conclusion

ProPak Asia 2026 demonstrated that successful business matchmaking isn’t something an organizer can simply switch on. Every event has different objectives, audiences, and operational realities. Consistently strong meeting outcomes come from carefully designing the meeting programme, monitoring its performance, and adapting strategies throughout the event journey.

Our technology enabled the programme, but it’s the close partnership between the organizer and our team that turned networking into measurable business results. 

Want to see how this works with your event? Book a demo with us.

‍

The DIA China Annual Meeting 2026, organized by Drug Global Association (DIA), took place at Shanghai ZhangJiang Science Hall from 13-16 May 2026. It brought together thousands of professionals from across the pharmaceutical, biotechnology, regulatory, clinical research, and healthcare sectors.

As one of Asia’s leading life sciences conferences, the annual meeting serves as a platform for scientific exchange, regulatory dialogue, innovation showcase, and business networking. With an increasingly digital and mobile-first audience, DIA sought to create an event experience that would not only simplify onsite navigation but also strengthen connections among attendees, speakers, exhibitors, and industry stakeholders.

Working closely together, DIA China and Jublia AI implemented a localized event platform designed to support knowledge sharing, business engagement, and secure event operations throughout the conference.

Key Objectives

DIA focused on three priorities for the 2026 meeting.

1. Deliver a Seamless Attendee Experience
   Attendees needed a convenient way to access:
   
   • Scientific sessions and agenda information
   • Speaker profiles
   • Exhibitor listings
   • Meeting scheduling tools
   • Real-time event updates

The goal was to help participants maximize the value of their time onsite while ensuring they always had the latest information available.

2. Strengthen Networking Opportunities
   As a premier gathering for the pharmaceutical and life sciences community, meaningful industry connections are a core part of the DIA experience.
   The platform needed to enable:
   
   • One-to-one meeting requests
   • Attendee-to-attendee networking
   • Attendee-to-exhibitor engagement
   • Easier discovery of relevant companies, experts, and stakeholder.
3. Maintain Secure Access Management
   To preserve the integrity of session access and registration controls, DIA required a secure verification process that relied on physical attendee badges rather than digital screenshots or shared access credentials.

The Solution: A Localized Platform, Delivered Together

DIA and Jublia AI worked requirement by requirement, pairing the organizer’s decisions with the right platform configuration.

A Centralized Event Platform

Jublia AI’s mobile application served as the central digital hub for the conference.

Through a single platform, attendees could:

• Browse the complete conference agenda
• Search sessions by topic
• View speaker biographies
• Discover exhibitors and booth locations
• Bookmark sessions
• Build personalized schedules
• Connect with fellow participants

By bringing all event information into one place, participants could plan their conference journey more effectively before and during the event.

Facilitating Meaningful Connections

Networking was one of the most valuable components of the 2026 meeting.

The platform enables attendees to:

• Search for peers and industry contacts
• Send meeting invitations
• Schedule one-to-one discussions
• Connect with exhibiting companies
• Arrange meetings before arriving onsite

This helped extend engagement beyond educational sessions and supported business development, partnership discussions, and professional networking across the life sciences ecosystem.

Supporting Exhibitor Visibility

For exhibitors, the platform provided an additional channel to showcase their organizations and engage with attendees.

Participants could:

• Explore exhibitor profiles
• Identify relevant solution providers
• Locate booths efficiently
• Initiate meeting requests directly through the app

This digital layer complemented the physical exhibition hall and increased opportunities for exhibitors to connect with qualified attendees.

Delivering a Localized User Experience

Recognizing the communication habits of its audience, the platform was configured to support local user preferences and workflows. Attendees could easily access event information, manage schedules, and coordinate meetings through a mobile-first experience aligned with the expectations of China’s life sciences community.

This localization helped drive adoption and encouraged participants to rely on the platform as their primary event companion throughout the conference.

Secure Session Access

To support DIA’s access-control requirements, session entry verification was linked to physical badge scanning.

The event platform was configured so that session access remained tied to attendee credentials, ensuring a secure and controlled onsite experience while minimizing operational disruption.

The Results: Reliable Access, Fresh Content, and Deep Engagement

The platform held up where it mattered, and attendees used it heavily across all three days.

Strong Platform Adoption

The event app recorded:

• More than 1,200 downloads
• Over 16,000 app opens during the event

These figures demonstrated strong attendee adoption and consistent usage across the conference.

High Engagement with Event Content

Participants actively used the platform to organize their event experience:

• More than 450,000 agenda views
• Over 6,600 sessions added to personal schedules.

The level of interaction reflected how attendees relied on the platform to identify relevant content, plan their time, and navigate a packed conference agenda.

Seamless Event Operations

The event achieved:

• 100% login success rate
• No reported access issues
• Successful attendee data synchronization
• Reliable badge-based session verification

These outcomes helped ensure a smooth experience for attendees while providing the organizer with confidence in event security and operational efficiency.

Impact

Beyond supporting event logistics, the platform contributed to a more connected conference experience.

By combining agenda management, exhibitor discovery, personalized scheduling, and networking capabilities in a single mobile application, DIA China Annual Meeting 2026 enabled attendees to engage more deeply with conference content and connect more effectively with industry peers.

The result was a secure, highly utilized, and attendee-centric digital experience that complemented the conference’s mission of advancing collaboration, innovation, and knowledge exchange across the life sciences community.

Conclusion

The DIA China Annual Meeting 2026 shows the value of adapting event technology to an organizer’s specific goals, operational requirements, and attendee behavior.

From secure session access to localized attendee experiences, Jublia AI worked alongside DIA to turn those requirements into a seamless event experience. The result was a secure platform that attendees trusted and actively used throughout the event.

Book a demo to see how Jublia AI can be tailored to your event’s unique requirements.

‍

This latest update focuses on improving the foundation that would create a valuable event experience. This means enabling clearer, more streamlined event management for organizers, while providing reliable matchmaking and recommendations to drive attendee engagement. 

1. Sense Homepage Redesign

What’s New

The Sense homepage has been renewed to give organizers a clearer view of where their events stand and what to do next. It now provides a more detailed overview of the current event stage and guided journey to the next action.

Key updates include:

• Event summary statistics consolidating all crucial event metrics
• Timeline showing the current event stage in chronological order
• Stage-by-stage guides that show what to focus on at each point of the event 
• Toggle between detailed and summarized guides for the event phases

Benefits

Reduce the cognitive load for organizers in getting their platform to a high-performing constant. 

As a result:

• Organizers immediately know the next best actions for their event management
• Ability to zoom out to a macro overview helps you to visualize where your event stands right now
• Understand with clarity which modules you have deployed and can deploy as part of the Jublia AI Engagement Hub

2. Engagement Advisor on Sense

What’s New

The Sense homepage now features an intelligent, always-on Engagement Advisor that continuously monitors event performance, identifies bottlenecks, and gives recommended actions.

Key updates include:

• A short and concise advisory of how your event is currently performing, with any identified gaps.
• The Engagement Advisor is trained on a broad range of metrics and performance benchmarks.

Benefits

Different event stages produce different metrics, which require time to gather and analyze to plan the next step. With this addition, the presented information is focused on the solution rather than numbers, making it more actionable.

As a result:

• This puts organizers in the driver's seat with instant awareness of the current event situation
• Identified gaps can be quickly plugged and followed up on by our customer success team

3. Fortified Meetings Experience

What’s New

The matchmaking engine has been rebuilt from the ground up to accommodate ultra-fast-paced events. It now runs on a more fail-safe architecture that minimizes issues when scheduling meetings is pushed to the limits in high-velocity and high-volume scenarios. 

Key updates include:

• Matchmaking logic rewritten based on Jublia AI's well-established meeting methodology to optimize for performance, especially in race conditions

Benefits

Attendees now have a snappier experience in scheduling meetings.

As a result:

• No more meeting overbooking or duplicates in edge cases; attendees get conflict-free scheduling
• Better meeting experience builds trust with users, thereby encouraging more event engagement 

4. Deeper Recommendations Capabilities

What’s New

Jublia AI’s recommendation engine has been upgraded, allowing recommended content to load 7x faster with expanded context for precision. At this moment, we continue to deepen our recommendation engine capabilities with an LLMs plus machine-learning (ML) hybrid approach. 

Key updates include:

• Proactive recommendation model that anticipates needs through a multi-context approach via user demographics and actions
• Expanded mutual matching and neighbourhood collaboration machine learning models
• Processing and load speed for the Top Picks to be displayed sits within the 150-250 ms range

Benefits

While the improvement in the recommendations engine is highly technical, it is aimed at improving the user matching and sourcing experience through vastly improved speed and precision.

As a result:

• Recommendations are now calculated in an always-on manner, ensuring your personalized Top Picks are ready the moment your attendees arrive
• High-quality connections that go far beyond basic keyword matching 

5. Clear "Why You’re Matched" Context

What’s New

Top Picks is now an integral section across Jublia AI Engagement Hub.

Key updates include:

• Dedicated Top Picks section on all pages
• Matching labels now clearly show why an attendee profile or exhibitor is recommended
• Matching labels on profile cards are designed for at-a-glance preview with an in-depth breakdown of matching details in the detailed profile

Benefits

We aim to enable users to quickly appreciate each profile match with clear information, enabling them to browse through profiles with a finer “comb.”

As a result:

• The Top Picks section is more easily accessible
• Deeper sourcing ability when recommendation contexts are also paired up with prompts made on the platform
• Nurture user trust and confidence to engage with the recommended profiles

Curious how this works at your event?

We would love to show you how these updates put value at your event. Explore how these new controls and performance upgrades operate within your specific event environment.

Book a demo and experience it for yourself.

Micro-events are making a buzz in the event industry, with 63% of organizers saying that there’s a growing demand for such small-scale, goal-focused gatherings, according to Booking.com.

What makes micro-events a popular conversation is their effectiveness in lowering cost overhead while promoting deeper networking. However, organizers shouldn’t regard them as a must-do or replacement for their large-scale events.

Micro-events may not be able to replicate what flagship events can deliver; but they could complement the latter to reinforce its value. This is the expectation about this event format that organizers should understand upfront.  

What to Expect From Micro-Events

Micro-events are more cost- and time-effective to arrange compared to larger-scale events. Despite this, they would still add more load to your event calendar — the exact reason why you should assess whether doing both is a feasible, worthwhile investment. 

The small number of attendees and intimate nature of micro-events also mean they’re often private or closed. This is great for hyper-focused networking, but not for exposure, delivering messages that appeal to the masses, or general lead generation.

This is why organizers must see micro-events as complementary to existing, larger-scale events as opposed to a replacement. They should co-exist to achieve different event goals and create a cohesive, year-round portfolio of events. 

How Micro-Events Fit Into Your Event Strategy

There are different ways to fit micro-events into your strategy, alongside your flagship events

Maintain Engagement between Event Editions

Large-scale events require more investment and longer preparation time, so they only happen once or a few times a year at best. During the downtime, attendees' interest in your event might drop, and you must win their attention again for the next edition. 

Given how micro-events can be more frequent, they can act as touchpoints between your larger events. With their smaller scale and narrow focus, these events can also be tailored to specific attendee segments. This keeps attendees highly engaged, maintaining the momentum and interest until the next edition starts.  

Keeping attendees engaged also benefits sponsors. These touchpoints help them maintain a stronger, deeper connection with buyers even after the flagship events end to speed up the sales cycles. 

Speed Up Sales Cycles from Major Events

Beyond maintaining engagement, the continuity of your event series through micro-events also helps brands build a deeper relationship with leads, to accelerate them down the purchasing stages. 

Here’s how it can look in practice: Your major event functions as the top funnel capture, leveraging the large number of participants, heavy on-floor traffic, and high level of exposure. 

From there, you can then curate the highest-intent buyers to offer them a more intimate event that’s more focused on their next goals. Shortlisting these attendees involves gathering insights into their interactions — how many meetings they’ve completed, which sponsors they talked with, and what the sponsor’s evaluation of their purchasing intent is.

For instance, you can look at real-time behavior data and analytics on the Jublia AI platform to gather such insights. You can then group high-value leads and arrange micro-events specifically around their next objectives. 

Since attendees arrive with a specific goal and mindset, it’s easier for brands to build deeper connections and trust to accelerate leads, especially in a more focused, intimate setting.

Gather Insights and Interest For Flagship Events

Given the smaller scale of micro-events, they offer organizers the opportunity to gather insights into a new strategy or approach with minimal risk and investment before deploying them at scale to the flagship event. 

Organizers can also kickstart their event calendar with micro-events to gather early data on attendee interest and build momentum for the larger events. Then, they can implement what works and design the flagship event around what’s well-received by attendees. 

Note that the attendee goals and profiles at flagship events will always be broader than your micro-events. With this in mind, micro-events should help you understand attendees' preferences and pain points, not testing aspects that will translate differently at scale, such as logistics. 

Kickstart Your First Micro-Event

With many attendees expecting deeper, more intimate networking, micro-events can be the format to complement your flagship event. However, it’s important to ensure they fit into your current strategy and work together towards a shared objective. 

Otherwise, adding micro-events will just add more loads to your already busy calendar. More events not only translate to more effort in the preparation, but also in managing and syncing data across them.  

At Jublia AI, we help organizers manage their multi-event portfolio on a single, centralized hub with our Multi-Event App. In our collaboration with Global Event Partners, this solution successfully helped organizers manage multiple events across the globe that took place at different times.

If you want to see how it works with your multi-event portfolio, schedule a demo with us.

‍

More and more organizers want personalization at their events, and most modern platforms now offer it. But the real question is not whether you have personalization. It is whether the personalization is doing the work it claims to do.

A 200-item agenda does not become navigable because the system stamps “for you” on 30 of them. If the attendee opens the recommendation and still has to filter, the system simply relabels the choice problem.

The Personalization Promise, and Its Current Limit

At large events, attendees face hundreds of people to meet and dozens of sessions to choose from in a limited window of time. Personalization is what helps them decide where to spend their attention. Without it, the event turns into a lot of options and not much direction.

Most platforms deliver personalization built on pre-determined filters: profile data captured at registration. Title, industry, declared interests. That data lets the system group attendees into types, surface content that matches the type, and stop.

This works up to a point. Two attendees who share the same title, industry, and declared interests receive very similar recommendations, even though one is at the event to raise a Series B and the other is there to hire senior engineers. Profile data answers who someone is on paper. It does not answer what they are trying to do right now. The recommendations end up technically accurate but not actually useful.

It doesn’t stop there. Every missed recommendation makes attendees trust the next one less. After two or three misses, attendees stop opening the recommendation surface at all.

The Next Layer: Real-Time Behavior Data

The improvement is personalization tuned by what attendees are actually doing during the event, on top of what they declared at registration.

These signals are digital footprints attendees leave by using the platform normally: whose profile they view twice, which sessions they bookmark versus which they walk into, what they ask the venue’s natural-language search, the paths they take through the floor in the first hour.

What changes is how the system makes decisions. A profile-based system makes a prediction at registration and sticks to it. A behavior-based system starts with that same prediction and keeps refining it.

There is a name for the underlying dynamic: intent decay. What an attendee said at registration six weeks ago is stale by show day. Registration captures intent, what people planned to do. Behavior captures reality, what they actually do. Their company’s strategy has shifted, their priorities have moved, and the deals they are chasing have changed. Profile data captured then is a snapshot competing against a person who has moved on. Behavior data reads the attendees current state during the event.

One objection worth naming. For first-time attendees with no behavior history yet, the system starts with profile data and picks up behavioral signals within hours. Cold start is real, but does not last long at the pace of an actual event.

Why it Works, and What it Delivers

When personalization reads live behavior, the recommendation surface starts doing the work the label promises.

Lists get shorter and sharper. Instead of thirty items that all technically match, the attendee sees three that fit what they are doing at the event right now. They can act on the list instead of filtering it.

Here is what that looks like in practice: A behavior-tuned system knows an attendee spent four minutes on one exhibitor’s profile and three seconds on another. It surfaces the first one next, not the second. The next step gets inferred from the last step, not from a six-week-old declaration.

The recommendation surface stops being scrollable noise. It navigates attendees directly to the next best step. Less scrolling. More selecting who and what to engage next.

And the event starts feeling like it worked. Attendees do not feel like they have to hunt for the right people. They feel like the right people, sessions, and exhibitors found them, which is what the platform is supposed to make possible in the first place.

The Bar to Set

The standard for personalization is not whether your platform has it. It is whether the personalization is doing the work of curation, or just relabeling the same choice problem. The question to ask any vendor, including the one you already use, is direct: does the recommendation still leave the choosing to the attendee?

Curation does not come from a better algorithm. It comes from reading attendees as they are during the event, not as they described themselves before it started. 

If any of this resonates with how you approach your event, let's get in touch.