“Opening our Toronto office marks an exciting milestone in our growth. After four years of partnering with Canadian clients, we’re investing locally to deliver faster response, deeper understanding of Canadian user needs, and to expand our work in AI-driven product strategy and design.”

– Mark Baldino, Co-Founder of Fuzzy Math Inc.

Canada’s IT services market is projected to grow from approximately USD 60 billion in 2025 to more than USD 128 billion by 2030, nearly doubling in size with an average annual growth rate of over 16%. Toronto, the country’s largest technology hub, is a natural choice for Fuzzy Math’s expansion, offering access to world-class talent and proximity to enterprise clients.

Toronto was ranked 4th in specialized AI talent and is home to 40% of Canada’s AI companies, making it the ideal market to continue Fuzzy Math’s AI-driven product strategy and design.

“Fuzzy Math has been instrumental in helping us reimagine how digital, UX, and AI come together to serve clients better. Their new Canadian office amplifies that impact — giving our teams and clients local access to a trusted partner who understands both the pace of innovation and the importance of human-centred design.”

– Davin Gnanapragasam, CTO and Partner, Tax & Legal at KPMG Canada

Toronto Global, the region’s investment attraction agency, supported Fuzzy Math in establishing its presence in the Toronto Region by providing market insights and guidance throughout the expansion process.

“Toronto is North America’s fastest-growing tech hub and a magnet for global companies looking to innovate and scale. Fuzzy Math’s decision to establish a Canadian office here is another strong signal of confidence in our region’s world-class design and technology talent. We’re thrilled to welcome them to Toronto’s thriving innovation ecosystem.”

– Stephen Lund, CEO of Toronto Global

Canadian organizations interested in exploring how Fuzzy Math can support their digital, UX, and AI initiatives are invited to book a consultation with Co-Founder Mark Baldino during his time in Toronto. To schedule a meeting, please contact mark@fuzzymath.com or schedule time direct here.

About Fuzzy Math

Fuzzy Math (www.fuzzymath.com) is a user experience design consultancy that helps B2B software companies and enterprise organizations unlock innovation through UX design, product strategy, and applied AI. With a track record of delivering complex design solutions for financial services, technology, healthcare, and government organizations, Fuzzy Math’s team blends design thinking, research, and technical expertise to create products that drive adoption and measurable business impact. Founded in Chicago in 2009, Fuzzy Math now operates in both the United States and Canada.

Full Release here: https://www.newswire.ca/news-releases/fuzzy-math-inc-opens-toronto-office-tapping-into-thriving-canadian-tech-market-847166728.html

The post Press Release: Fuzzy Math Opens Toronto Office, Tapping into Thriving Canadian Tech Market appeared first on Fuzzy Math.

AI is transforming digital products—but where should it fit in your user experience? In this UX Masterclass, Mark Baldino, co-founder of Fuzzy Math, breaks down how User Journey Mapping can reveal the best places to integrate AI meaningfully and effectively.

What You’ll Learn:

• What User Journey Mapping is and how it helps identify AI opportunities
• How to analyze your journey map for unmet expectations, friction points, and time-intensive tasks
• The difference between AI automation vs. augmentation
• The strengths and weaknesses of AI in UX design
• Key considerations for designing AI-powered features, including trust, accuracy, data, and technical feasibility AI is a powerful tool, but it’s not a one-size-fits-all solution.

Learn how to integrate AI thoughtfully to enhance user experiences and avoid common pitfalls.

Need expert help? Reach out to the Fuzzy Math team to bring AI-powered UX to your digital products: http://www.fuzzymath.com

Keywords: UX Design, AI in UX, Journey Mapping, AI-Powered UX, AI & Product Design, UX Strategy, AI Automation, AI Augmentation, AI User Experience, B2B UX, Enterprise UX, AI Design Thinking, UX Masterclass, Digital Product Design

Transcript

[00:00.3]
Hi, I'm Mark Baldino. I'm the co founder of fuzzymath. Fuzzy Math is the user experience design consultancy that brings consumer grade UX to business applications for B2B and enterprise tools. Today we're covering a bit of a first at Fuzzy Math. We're doing a UX Masterclass. My intent with this masterclass is to take my 25 years of UX design experience and a multitude of years of experience on my team and get it out of our heads into the wider community.

[00:24.3]
For this masterclass, I want to continue on a topic I've recently covered on my podcast, UX Leadership by Design. That topic is AI in Design or more accurately for this class, Designing for AI. In recent episodes I've talked about some of the really transformative ways that AI can be used in design.

[00:40.7]
Stands to reason that it's going to be a hot commodity for businesses looking to integrate AI tools into existing digital products. Our topic to guide you along the way is a powerfully simple UX artifact, the User Journey Map, and how to find those gaps in your user experience where AI can be the most impactful and meaningful.

[01:00.1]
Okay, so a definition User Journey Map is a visual representation of a user's experience with a product or service over time. It highlights key touch points, emotions and pain points, helping teams understand user needs and identify opportunities for improvement. We know that design is often about storytelling.

[01:17.1]
Stories make it easier to understand and empathize with users, and they make it easier for whole teams to remember complex processes and share them with others. The Journey Map is a deliverable to tell a story, and along the way we can find ways to slot in AI for your product to support the user journey.

[01:36.6]
Before we get too deep into the analysis of journey maps, I think it's important to examine AI itself and its strengths and weaknesses to allow you to make better decisions regarding what it can do for your users. For example, whether you should use AI to fully automate a user process or simply automatically augment it.

[01:54.5]
The strengths of AI lie in its ability to parse huge amounts of data, quickly, define things, synthesize things, and predict things. Not to mention, as a robot, it's not going to care very much if it has to do the same task a million times. A human, however, would very much care and probably quit for this reason.

[02:14.0]
AI can be a great time saver and bring lots of efficiency. But there are weaknesses of AI as well. Namely, it represents a technology that is, you know, as a whole in its infancy. Think of which plane you'd rather take a trip on a canvas clad biplane from 1950 or a modern airliner, AI is closer to the biplane than to the airliner.

[02:34.0]
What this means in practice is that AI will have difficulty always being able to present the correct answer in some of its predictions. AI also requires users to communicate with them in fairly specific ways,  so much so that there are even classes on prompt generation. Okay, so with these concepts of AI in mind, let's turn back to our journey mapping and how to utilize them to determine where AI can meaningfully improve your user journey.

[03:02.9]
So there's three ways to analyze journey maps for this situation. Areas of unmet expectations, areas where there's large friction points and areas that are time intensive for humans. The first, areas of unmet user expectations.

[03:19.3]
So let's put some AI into an unmet expectation. Imagine you have a dashboard with users, and users land upon it when they enter your platform. And your service has many different and complex user types with many different permissions and needs. If the page is too generic and does not meet the specific need of a user in their role, sort of have an unmet expect unmet expectation.

[03:40.5]
We have a gap between their experience and the reality, their expected experience and the reality. So how can AI help? Why not? You use AI to analyze sort of users complex webs of permissions and responsibilities on the fly and entirely in the background.

[03:55.7]
Set up a dashboard that is customized for them upon login. But later we'll cover whether or not you want to, you know, integrate that feature and how you go about designing and building it. But let's move next onto the next aspect of journey map analysis and that's areas of large friction points. So this is one of the easiest things to identify because they stick out like a sore thumb or like a downward slope with a red sticky on it in the journey map.

[04:18.2]
And that's, you know, when users have large friction points. And these are mostly measured in user pain and frustration. Thinking about AI to address friction points depends on where the friction stems from. For example, perhaps friction stems from a user have to look through hundreds of spreadsheets and find certain data points needed for their job.

[04:34.1]
That smells like an AI task to me. The third and final is high time usage. So this last point I want to cover is a big one because it speaks to a big strength in AI. It's where in your journey maps you're seeing that areas of time intensive effort for your users. Spending large amounts of time could easily be related to unmet expectations and friction points, but not always.

[04:53.6]
Where AI fits in depends on the concepts of positive time spent and negative time spent. Positive time spent is time a user spends on something that increases their positive feelings. You want to increase these, you want to amplify these. Negative time spent is large time usage that is frustrating, difficult or stressful for users.

[05:11.5]
You want to decrease these naturally. So here's an example. Fuzzy math is full of designers and a big part of a UX designer's job is to conduct research, take all the data, comb through it, organize and synthesize it. You could argue that this would be a negative time process. It takes a long time, it's pretty difficult. It can be stressful especially if you're in a time crunch.

[05:28.5]
So when I just remove it and let AI do the synthesis. I asked a few of my designers on the team and each one of them said that no matter what AI could do here, they'd still want to undertake the manual process of data analysis and synthesis that entails that part of the design process themselves.

[05:44.5]
They want to do it and they feel like they need to do it to make better design decisions. So it's just a word of caution. Don't try to replace something your users need or want to be doing with AI. Maybe consider augmenting or assisting but thoughtfully of how and where. Don't always move to automate and replace.

[06:03.4]
Okay, so you built your user journey map. You've carefully weighed and considered each node in the user's journey and ask yourself, does AI fit here with any of AI's inherent strengths? Will my users want this in their process? Should the AI replace this process or simply augment it?

[06:20.4]
And congrats, you've arrived at an answer. You do want to put AI into your product. So what are the considerations for the design and implementation of an AI feature in your product? Product? There's four I want to cover. First is user needs and user experience. The second is trust and accuracy.

[06:35.7]
The third is data, and the fourth is technical feasibility. Okay, so the first one, user needs and user experience. It really shouldn't come as a surprise that the consideration we begin with is user needs and user experience when using an AI tool. We are, after all, a UX design consultancy and we very much believe in the power of user centered design, especially when making features for complex B2B platforms.

[06:58.5]
So start and end your process with this question. Is this a true unmet need? Maybe consider, does it contribute to the five tenants of usability, satisfaction, memorability, efficiency, effectiveness and learnability? Will this be a meaningful and impactful change?

[07:14.4]
Which brings us to trust and accuracy. We talked about the limitations and weaknesses of AI. We mentioned that AI models might not always be accurate. AI systems are probabilistic. So where a human might look at data and say, well, that's obviously wrong and AI model might dictate that answer A is more probable over answer B.

[07:30.9]
The solution to this problem is being transparent about AI's capabilities, sourcing where the data is from, helping the AI model build trust by clarifying where it might be accurate and where it might struggle. So will acknowledging this make users trust your model less? Maybe, let's be honest. But nothing will tank user trust more than pretending the AI is infallible and letting the user be disappointed to learn when it's wrong.

[07:51.6]
Which brings us to some more pragmatic components of considering an AI feature. Three, data. And four, technical feasibility. Who's going to build and train this amazingly well designed, clever AI tool? Where's the data coming from? Do we have it already? Do we need to collect it and organize it?

[08:06.7]
Or do we need to source it from a third party? Do we have a team of developers and data scientists who can move this forward? What's the technical feasibility? What is the cost benefit to your product and to your business if you focus on this AI feature versus a non AI feature? There's so much that goes into this decision making process even before you build.

[08:23.3]
There are many ways your design team can work with data science and engineering that maybe it should be a masterclass of its own. Maybe it will be. But in conclusion, we've covered a lot here, from the creation of user journey maps to three ways to analyze them to find the right spots to integrate AI and into the four considerations for designing and building those features.

[08:43.3]
It is a lot, but you should not be overwhelmed to launch AI into your product. There are clear and concrete steps to take to integrating AI in meaningful and impactful ways. Unlike many products, features and tools, once they're released they need to be monitored and iterated upon.

[08:59.6]
AI certainly needs monitoring. Is it giving your users the right feedback or help? Is it being trained correctly by users responses? Is it giving people sensitive or inappropriate information? Quality assurance work goes a long way with everything, but especially with AI, of course, an offer if you're about to undertake the process of integrating AI into your product, or you've started and you think you could use a little bit of help, please feel free to reach out to me and the team at Fuzzy Math.

[09:24.2]
Maybe leave a comment below on how your own journey is going. And of course, if you have any feedback on this masterclass, please reach out. Until next time, thank you for watching. I'm Mark Baldino and this has been the first Fuzzy Math UX masterclass.

The post UX Masterclass: Journey Mapping for AI-Driven Experiences appeared first on Fuzzy Math.

Why choose a custom dashboard?

It’s the classic build vs buy conundrum of whether to develop a custom dashboard or buy a templated dashboard. Third party tools like PowerBI do work well as a hybrid solution to pulling data and displaying it in a custom format. The challenge arises when existing solutions don’t provide clients with the level of data exploration needed to take actionable next steps.

Mark Baldino, co-founder of Fuzzy Math details why a custom dashboard solution may be right for you:

The post Crafting Personalized Dashboards with Fuzzy Math appeared first on Fuzzy Math.

The tools we use!

2023 was a big year for a lot of the tools that designers use everyday – from figma updates, to the continuing improvement of ‘no code tools’, to AI support – this year felt like we were getting updates to our toolkit every month.

Starting with Figma!

The post Fuzzy Math 2023 WRAPPED! appeared first on Fuzzy Math.

So what exactly is DesignOps?

DesignOps is a set of practices and principles aimed at streamlining and improving the design process within an organization. You can think of it as steps an organization can take to measurably improve a design team’s performance and its impact to the business. It is especially important to operationalize design practices since design is an area that can still be misunderstood, poorly integrated, and not well supported within many businesses.

At Fuzzy Math, we believe that in order to deliver exceptional user experiences, businesses need to set up design processes that promote creativity, efficiency and more streamlined integration. In addition, design team members should be enabled and empowered to do their best work. DesignOps is a tool to help optimize your UX design team, and ensure they are working in the best ways to support your business. In this article, we will explore why DesignOps is important, and how to best implement it within your business to help achieve success.

Why is DesignOps Important for your Business?

Right people, right seat

Setting up design operations can benefit your business in a variety of significant ways. Firstly, it ensures the right people are in the right roles. As design teams grow, DesignOps helps to identify which roles are needed, which skill sets are necessary for that role’s success, and helps to ensure the right people are hired to best sustain the team and project needs. When you are more aware of the design team make-up and skill set, you can better resource projects to align with skills and availability. This helps to avoid burnout from people being over-resourced, and increases productivity due to clearer assignments. If you aren’t at a place to invest in growing your design team, DesignOps can also better enable your current team to do their best work through increased motivation, efficiency, and alignment. It can help ensure that your design training is relevant and accessible, avoid redundancy of more than one person taking on the same responsibility, and help separate teams or team members work better together. This leads to getting more, higher quality output from your team without increasing headcount. It also helps keep the talent that you have since designers are able to make more impact, have clearer purpose, and are assigned to teams and tasks that align with their skills. Through the incorporation of DesignOps, the design team is aligned on their roles and responsibilities, and supported within their roles in order to do their best work.

Consistent, efficient, and scalable processes

Once you have the right people to do the work, DesignOps can also help ensure that work is done efficiently and sustainably. By establishing standardized workflows, tools, and guidelines such as design systems, designers can produce consistent design outputs more quickly and at a higher quality. Without this type of shared documentation, businesses risk design assets being made in silos, causing inconsistency and frustration from designers by accidentally re-doing something that was already done. Having a design system is necessary to ensure higher quality control, and can help reduce the time and effort spent reviewing and ensuring each design matches an organization’s standards. Establishing processes that encourage collaboration and feedback also helps ensure that the work that is being done is alignment with what is needed, and can be completed within the proper timeline. This can include regular design reviews to iterate and align earlier in the design process before moving too far in the wrong direction at a high fidelity.

Another important process to establish within your organization is user research. ResearchOps is an aspect of DesignOps that helps ensure research is done with intention so that designs are user-centered and impactful. This is particularly important to ensure design can solve the right problems based on the user experience itself, instead of being utilized to help make smaller, bug fixes. ResearchOps helps create a shared understanding of the larger opportunities for the product and service which leads to higher impact solutions. It helps create a design process that is proactive instead of reactive. When research is implemented at the right time and in a meaningful way, designers can create designs that are more aligned with your customer needs and goals – thus driving sales and customer retention.

Aligned with business goals

Lastly, DesignOps can help the entire organization better understand the purpose and impact of design, and create a shared culture around the user-centered process. Through the establishment of metrics, the design team can measure their impact to the user experience and the overall success of a product or service. Metrics can also highlight the importance of a design practice to other roles and teams within the business. Just like any other team within your organization, your design team should have a clear mission and an understanding of how their team directly contributes to the organization’s success. When that mission is properly communicated and understood, designers better understand how their work fits into the bigger picture and feel more respected and valued as a result. DesignOps can create a shared culture among the team, increasing camaraderie and a sense of belonging to your organization.

How Fuzzy Math Implements DesignOps for Our Clients

As an organization dedicated to UX design for over 15 years, Fuzzy Math has developed proven methods that have helped us work better as a design team, which we have also used to optimize the design practice for our clients. In this section, we will walk through the steps we take to implement DesignOps, and provide additional insight into some common problems we see within organizations that your business may be struggling with as well.

Step 1: Assess current state and identify pain points

In order to best implement DesignOps for our clients, our process starts with developing a more thorough understanding of where the organization’s design practice is at today. Similarly to how we solve UI design problems, we typically start these projects conducting research to better understand the current state and identify the largest pain points. This can save your organization time by avoiding focusing on the wrong things, and instead utilizing your time and energy addressing the specific aspects that will make the most impact for your team and your business.

To identify what problems DesignOps can best address, you first should conduct research into the make-up of your design team, what their process looks like when doing research and design work, and how your designers are collaborating and supporting other teams within the organization. At Fuzzy Math, we help organizations conduct this research through a series of assessments. We gather information from UX leaders, contributors, and other teams within the organization to better understand the current state. These assessments can help uncover inefficiencies and inconsistencies within our client’s design process and misalignment within their design team and across the full organization as it relates to the purpose of design. Fuzzy Math asks organizations a variety of questions to assess an organization’s design practice as it relates to these three key areas:

• People: The design team has an intention that drives their work and propels them forward.
• Purpose: The design team feels their purpose is known and valued within the organization
• Process: A user-centered design process is embedded in the work that’s produced and delivered by the design team.

Step 2: Uncover solutions and take action

Once you have uncovered the key problem areas that may be leading to inefficiencies and misalignment within your design team, you can take action in implementing DesignOps to address these issues head-on. Here are a few examples of common problems we typically see with the clients we work with that your organization may be running into as well, including specific actions your company can take to implement DesignOps to address those issues:

Designers are siloed and producing inconsistent, lower quality work

Especially for larger organizations where designers may be working on separate workstreams without much overlap, it can be hard to ensure consistency, and for designers to all be aware of previous design decisions. This can lead to a higher risk of designers producing work that isn’t aligned with the product vision, that needs to be redone, and that may not provide the best user experience.

Creating and maintaining a design system is essential in helping to keep all designs for a product consistent. It also can reduce time wasted looking for specific design assets in old documentation, or redesigning something that was already designed. Fuzzy Math recently created a design system template to help us in our own design process which we use to more efficiently create design systems for our clients to ensure successful implementation and scalability.

Other documentation and standardized training can also help address this issue. This can include setting up training and utilization requirements for common tools, like Figma, to ensure designers are working efficiently, and in a way that supports consistent integration across different projects. As a result, designs don’t just look the same, but are built in ways that the entire team understands and can utilize for future iterations of your product.

Lastly, scheduling collaboration and feedback sessions that bring designers together across teams can provide opportunities to share work, learn from one another, and ensure design decisions for all offerings from a business are aligned. At Fuzzy Math, we implement a monthly meeting called a “Designer Hangout”, where all designers across multiple projects are invited to share what they have recently learned on projects, showcase their work, and receive feedback from other designers on our team. These opportunities also helps make design teams feel more connected, especially when designers may be currently siloed and focused on different workstreams or projects.

UX design isn’t well understood throughout your organization

When the value of design is not well communicated throughout your organization, it is harder for design to be implemented during the right times and in the most impactful way.

Crafting a mission statement for your design team can both ensure your designers have a shared purpose, but also can communicate that purpose to other teams and leaders. A mission statement should align with your larger business goals, and feel connected to its success. Organizations also should provide opportunities for designers to educate others about the user-centered design process to help it feel better integrated into the overall culture. This helps to ensure all decisions are being made with the user in mind, and can help maximize impact and customer or client satisfaction.

Another step to communicate the value of design is to create metrics to measure it. Establishing KPIs related to design outputs provides ways to track the impact of design as it relates to your business’s bottom line. KPIs should measure aspects important to your organization’s success including time to market for a product, user retention, and usability.

As your larger organization better understands the design process and its measurable impact, design will be better integrated and enabled to support the success of other teams such as development, marketing, and product management.

Designers are burnt out, unsatisfied, and motivated to leave

In order to retain top talent, organizations need to support their designers and ensure they have opportunities to provide value.

Having a process around resourcing designers on projects, and ensuring you have a team that can support requests and scale as your company grows is essential in preventing designers from being overworked. This includes evaluating the ratio of developers to designers, ensuring the design team is big enough to handle the work that is trying to be developed without causing a bottleneck.

Setting clear processes for approval and feedback also helps to avoid frustration from unclear timelines, drawn out iteration cycles, or confusion when there is conflicting feedback coming from too many directions without a clear approver.

Additionally, designers should feel like they have ownership over their designs, and have space to contribute to the strategic design direction. To avoid having them feel like “pixel pushers”, ensure design is being implemented at the right times and integrated into the overall vision for your products or services. This includes creating processes for user-centered research through the establishment of ResearchOps, so designers have the time and resources to identify pain points and align design decisions to real user needs.

When design feels like an important, well-integrated aspect to the business’s success and is given the proper resources and support, designers will feel more respected and valued thus leading to increased job satisfaction and reduced turnover.

Step 3: Measure impact

Whatever actions your organization needs to take to implement DesignOps, it is critical to ensure that you are also setting up metrics to measure its success, and the impact those changes have on your design team and the business. A few examples of metrics include:

• Design team retention rates and overall satisfaction scores
  • Does your design team feel more fulfilled and invested?
  • Are they more likely to stay?
• Design team performance and efficiency
  • How long does it take for designers to do their work?
  • Are they performing successfully and in alignment with their role?
• User satisfaction score, net promoter scores and quantitative tracking
  • How satisfied are your customers with your company?
  • How satisfied are your customers with your product specifically?
  • Are users able to utilize the product successfully?

When setting up metrics, be realistic about what metrics make the most sense to track for your organization and ensure you can track those metrics regularly over long periods of time to get an accurate sense of any measurable changes.

Conclusion

Design Operations is the key to optimizing your design practice within your organization. Through the implementation of DesignOps, your design team can maximize their impact and mitigate risk through increased efficiency, standardization, and an aligned purpose. At Fuzzy Math, DesignOps has helped us as a UX design team work more efficiently across all projects, train and retain our designers, and create better solutions for our clients.

Does your organization need help getting the most out of your UX team? Fuzzy Math has been refining our own DesignOps and that of our clients since we were founded in 2009. Get in touch to see how Fuzzy Math can help implement DesignOps within your business.

The post DesignOps – What is it, and why your design team needs it appeared first on Fuzzy Math.

Updated April 2026:

I now use AI Tools consistently, so that’s an update. I use Chat GPT, Claude, Midjourney, and some of the built-in AI features in tools I was already using (Figma, Notion, Photoshop, Replit). I’m intrigued by Claude Code and interested in the way both developers/non-developers could be using it. I think there’s value in designers skipping the prototyping step and going straight to code.

I am concerned, though, maybe even more than I was initially. Back in 2023 it was all speculation; now we’re seeing the real-world implications it has on the job market (not to mention the environment).

Overall, learning/using the tools has become a no-brainer for me, and I genuinely enjoy the process of collaborating back and forth with AI. But the fears/consequences are valid, and they remain in the back of my mind every time I open Claude.

Original Post:

For someone who works in tech, I would not consider myself super tech-savvy. I’m a slow typer, I don’t use too many keyboard shortcuts, and I jot down notes in a physical notebook. By the time I figured out my favorite way to build components in Figma, they released Variables into the ring, and my entire game was thrown off (don’t get me started on how long it took me to understand Auto Layout).

In that case, it’s probably no surprise that I have yet to introduce AI into my workflow.

I stumbled upon this tweet by engineer Santiago Valdarrama in a Medium article scroll. I found myself appropriately unsettled considering what I just told you about myself, but Valdarrama is right: AI tools will be the new standard in any given design process. The sooner we become comfortable with these tools, the better off we will be. 

This might sound daunting if you’re anything like me, someone slow to fully adapt to new technologies. Luckily for us, I have colleagues here at Fuzzy Math who keep up on all the latest technology trends—at the very least, they’re quicker than I am to test out different tools. These designers are not scared of AI the way I am: one has already written about it extensively in Embracing AI in Design: How Designers and AI can Collaborate. If you haven’t already, read Tré’s article for an in-depth overview of AI and for strategies designers can use to adapt to the new world. Otherwise, read on for a round table discussion about AI tools such as ChatGPT, Grammarly, and Notion, as well as the ways in which my coworkers are already integrating these tools into their everyday workflows.

*Note: In a few instances during the round table, we use “automation” and “AI” interchangeably. I want to note here the difference between the two: automation relies on a set of rules that were predetermined, while AI can learn and make its own decisions based on data and new information (similar to the way a human makes decisions). Here is a great article by Maria Homann to learn more about that distinction.

FM Round Table on AI

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