Las Vegas, NV August 4-6, 2026

Published: August 9, 2026                                                                            ID: TBW2216

Analyst(s): Dr. Doreen Galli

Photojournalist(s): Dr. Doreen Galli

ABSTRACT

“Ai4 2026 experiencing over 50% growth and welcomed more than 12,000 in the enterprise AI ecosystem to Las Vegas. Over 100 countries were represented amongst attendees and 400 exhibitors. Vendors, startups, and practitioners discussed what it takes to move artificial intelligence beyond experimentation. Conversations across the show floor touched on governance, deployment, security, agents, data accessibility, software delivery, and business process transformation as organizations continued evaluating paths toward large scale adoption.”

Enjoy the related Computer Talk Radio and Computer Talk Radio

The Conference

• A community of over 12,000 came together in Las Vegas for the 9^th annual Ai4 event. Attendance grew by over 50% at the 9^th annual event. Vendors grew from 250 in 2025 to 400 in 2026.
• Start-ups were also present growing from 25 last year to 66 this year.

Cautions

• Friendly reminder: this research provides examples of what was shared with us at the event, not an evaluation, validation, or recommendation of the given technology.

Exhibits

It’s wonderful when an individual AI pilot works, maybe even delivers business value to a department. Getting that solution to deploy corporate wide is very different. Engineers that have worked in the largest organizations always smile when they see the demos and chuckle inside as looks great but what about at my scale. For those seeking industrialized AI delivery, ModelOp is a delivery engine meant to overcome frictions that occur during integration. It’s purpose is to enable those organizations to take the idea and realize it in production for the entire organization.

Governance was on the mind of many. Actualyze AI was founded by repeat founders who have spent their careers in large scale infrastructure and transformations. They focused their solution on protecting data, models routing, financial spend, and the type of infrastructure a technology requires to become part of enterprise IT.

For business work flows that make a difference, Evalueserve wants to remind you, don’t start with the technology to enable scale. Their organization focuses on business workflows that make a difference. They serve life sciences, healthcare, manufacturing and consumer good verticals. While many solutions leverage AI, many metrics such as cost and quality do not require AI. Never approximate when math can get you the precise answer.

One critical aspect of reliability is the infamous undo button or some method of recovery. There is rule in cybersecurity to assume when not if; as such one must prepare for how to recover when it goes wrong. It may be quite wise to adopt this stance in AI as well. Rubik is all about deploying agents – safely.  They provide capabilities for agent monitoring, control, and something new – rewind agents. As one might suspect this includes the ability to back-up and recover from agent behavior. In their world, no agent permanently wiped out my database or the code we wrote – it can be recovered.

When you have a complex web of services, models, or agents. Understanding the complex web of dependencies is critical for operations with any type of reliability. The infamous Solar Winds incident let everyone know that the software supply chain and its dependencies are critical for security and stability. The solution turned out to be something in the industry referred to as SBOM for software bill of materials – expanding on the shipping term. Now Lineaje has thought of this problem and created a solution for AI and AI agents. Their solution provides dependency crawler, checks and suggests upgrades for compatibility and provides what they like to call security layer for agent builders.

Some environments are tougher than your average environment such as those that have required decentralization or compartmentalization of information such as government and military environments and related applications. Axonis was in expo hall to serve you. They also create a trail of decisions. Not about insights but rather save the final decision made by humans and AI. They like to think of it as a creating a feedback loop for audit and training models on past decision. They referred to it as metadata on data; we have shared this approach before. The hash of an image matched against the hash of what is in front of someone for authentication during our coverage of ISC West.

Not all AI solutions involve Large Language Models or LLMs. Modulate is a voice ai platform that provides all your common conversational understanding requirements for any conversational need. Like the advice provided in Whisper Report: Which spatial computing use case will scale fastest?, Modulate is growing through a pivot to APIs. By leveraging an architecture of highly specialized models, each trained for a narrowly defined purpose, a given application can combine them in a manner that fits its environment. Their architecture leverages these specialized models to monitor conversational tone and provide insight into intent, meaning, emotion, and context. Together they refer to their architecture as an ensemble listening model to understand and identify user behavior. This AI architectural approach of leveraging several specialized machine learning models is one that provides a high degree of success and has a long track record of enterprise results at scale.

If you have an enterprise software development team and are seeking an AI Powered DevSecOps Platform meet Digital AI. Their environment is specifically focused on regulated industries. They purported clients such as the Top 10 banks in N. America and Europe, and the top 5 Global airlines, top 4 N. American Insurance Companies. Their use of AI is very purposeful, is strictly to enhance delivery and planning capabilities to accelerate delivery. 

Department strictly focused on marketing and customer data? Kana.ai marketing operating layer was designed for you. Kana provides an agentic End to end solution for marketing that moves to where the customer data’s resides offering a continuous agentic layer across marketing stack. The named elements of the marketing stack they service include: strategy planning, audience building, activation, and measurements such as MTA – multi-touch attribution and MMM Marketing Mix Modeling.

Two hurdles frequently stand in the way of AI’s success. On one hand, corporations may have their history locked up on physical books. On the other hand, organizations creating models need data to train and a controversial method of scanning physical books is involved. One reason for the controversy is that the organizations are breaking the spines to digitally scan them. Both hurdles can be solved by ARC document solutions. Another hurdle for capturing data, particularly notes are notes on the go. If find yourself want to take notes on the go or for when you are not in front of your computer, Ninja Concepts AI note takers offer you different options to fit your needs.

Conference Vibe

This enterprise AI gathering focused on adoption, implementation, governance and business outcomes. This wasn’t about the clouds and sizzle, more about show us real impact. Attendance shot up more than 50% from last year’s crowd of 8,000 to more than 12,000 attendees this year! Over 100 countries were represented and expo hall exploded from 250 exhibitors to 400! Due to their explosive growth there were some growing pains. The registration lines for some attendees was reported in excess of 90 minutes. Navigation was a bit tougher than usual as the convention put the show carpet over a large majority of the navigational booth numbers making finding vendors very very difficult. I had not witnessed this error at other events at that location previously. In addition, perhaps due to the explosive growth, the connectivity was exceptionally challenging at the same level or worse than CES. At that same time, the energy and excitement easily matched and dare I say, exceeded CES this year. At one point I recall literally realizing I could not feel my face from so much smiling. Enjoy the walkabout to and through expo hall. We always try to bring you fresh vendors in our coverage but you will recognize many brands in the walkabout from our coverage of other data related events such as the Informatica World, or our coverage of Put Data First.

We once again live streamed from on site to share the experience. Be sure to catch coverage on my syndicated segment on the nationally broadcast edition of Computer Talk Radio.

We conducted research for Six additional forthcoming Whisper Reports for our clients. The playlists are unlisted but available with the video version to be distributed via YouTube Whisper Club upper tier membership area on our YouTube Channel.

1. Whisper Report: What’s the biggest gap between AI demos and AI in production?
2. Whisper Report: What AI cost nobody warned you about?
3. Whisper Report: What’s the most valuable AI use case that isn’t GenAI?
4. Whisper Report: What AI result surprised your organization most?
5. Whisper Report: Where will AI agents replace workflows first?
6. Whisper Report: What AI promise won’t happen soon?
7. Whisper Report: What AI capability is still mostly hype?
8. Whisper Report: What AI assumption breaks first at scale?
9. Whisper Report: What AI problem still needs a human?

Readers and viewers wishing to experience the entire event are encouraged to view the Conference Whispers: Ai4 2026 Playlist in its entirety. The playlist will be sited in the end screen, description, and as a pinned comment of the video edition.

The video will conclude with gratitude towards those that contributed and a montage of responses to Bonus Question, “What’s the best part about attending the Ai4 live in Las Vegas?”.

Next Year’s Conference  

The Ai4 will once again return to Las Vegas and will be held at the Venetian Expo on August 4-6, 2027.

^*When vendors’ names are shared as examples in this document, it is to provide a concrete example of what was on display at the conference, not an evaluation or recommendation. Evaluation and recommendation of these vendors are beyond the scope of this specific research document. Other examples products in the same category may have also been on display.

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