Let’s Talk AI: Balancing AI Innovation & Compliance in Life Sciences

AI is no longer optional for life sciences organizations but using it inside a regulated environment is anything but straightforward. Leaders are being asked to “do something with AI” while still owning inspection readiness, documentation, and patient safety. At the same time, that pressure can create a dangerous temptation to rely on AI outputs without sufficient human review or validation. This first episode of NPG’s new Let’s Talk AI series is designed to level-set the room and give you a practical starting point.

In this session, Christine Bonifield, Partner at Network Partners Group, will share how NPG has approached AI over the past six years, including the story behind FALCON, NPG’s AI‑enabled tool for label verification. Christine will walk through what “human‑in‑the‑loop” really looks like in practice, how to think about validation in a constantly learning ecosystem, and where AI fits (and doesn’t fit) in regulated workflows today. You’ll leave with a clearer understanding of realistic use cases, the guardrails that matter, and how to talk about AI with your own internal stakeholders.

Because this episode is the foundation for the entire Let’s Talk AI series, we’ll also preview upcoming topics such as using AI in regulatory submissions and inspections, deciding between third‑party tools and in-house solutions, and managing accountability and risk when AI touches your quality systems. This session is intentionally introductory—not because AI is simple, but because getting everyone into the right frame of mind is the first step to making it work in the real world.

 

Watch the Replay

What You’ll Learn

• Understand where AI can realistically add value in regulated life sciences processes today—and where it should not be used yet.
• See how a human-in-the-loop model, like the one behind NPG’s FALCON label verification tool, helps balance efficiency with compliance and inspection readiness.
• Get a preview of future Let’s Talk AI topics so you can plan and involve the right stakeholders for deeper dives on submissions, inspections, risk, and tool strategy.

Who Should Attend?

Professionals responsible for quality, regulatory, labeling, risk management, and packaging decisions across pharmaceutical and medical device organizations

Speakers

• Christine Bonifield – Partner at NPG
• Matt Burger – Partner at NPG

About the Let’s Talk AI Series

Let’s Talk AI is the newest branch of NPG’s Let’s Talk series, bringing together industry leaders and NPG experts to explore how AI can be responsibly used for innovation and automation in regulated life sciences environments. The series will focus on practical advice, not hype, and be valuable to VPs and industry leaders.

Watch the Replay

Key takeaways

• Where AI can realistically add value in regulated life sciences processes today — and where it should not yet be trusted.
• Why the human-in-the-loop model, as embodied in NPG’s FALCON Labeling AI tool, is what balances efficiency with compliance and inspection readiness.
• Why “hallucinations” and unsupervised learning matter more in regulated workflows than in general-purpose AI use cases.
• How NPG built FALCON as SMEs (not software developers) by starting from two specific industry pains: EU MDR label-verification burden and inaccessible label data.
• The two questions that follow every AI presentation in this industry — how do we protect IP, and how do we validate this — and how NPG treated both as URS non-negotiables from day one.
• A preview of upcoming Let’s Talk AI topics: validation, AI literacy, AI culture and change management, writing a URS, IP protection, tool selection, and prompting.

Related Content

• Next in the series: Let’s Talk AI: A Leader’s Playbook for AI Strategy, Compliance, and ROI 
• Explore NPG’s Digital Transformation services

Transcript

This transcript has been lightly edited for readability and preserves the substance of the live discussion. It is provided for general informational purposes and is not legal or regulatory advice.

0:00 — Introduction

Matt Burger: Thank you for joining the Network Partners Group team for our first webinar in a series on the timely topic of AI. In today’s discussion, we will be focused on what it means to balance AI innovation and compliance in the life sciences industry.

I’m pleased to introduce our speaker for today’s conversation, Christine Bonifield. Chris is a Partner at Network Partners Group (NPG), where she helps life sciences organizations navigate complex labeling, regulatory, and operational challenges.

A proud Indiana native, Chris earned degrees from Ball State University and Indiana University. Go Hoosiers. Chris joined NPG nearly a decade ago as a project manager focused on labeling solutions. Through her work with clients across life sciences industries, she quickly recognized the wide spectrum of maturity, efficiency, reliability, and compliance that existed across labeling systems and processes. That insight became the foundation for her passion for helping organizations transform their operations and achieve sustainable results.

Known for her practical expertise and strategic mindset, Chris excels at combining real-world experience with innovative approaches to solve industry challenges. She partners closely with clients to identify opportunities for improvement, streamline processes, and implement solutions that balance business objectives with regulatory requirements.

Chris resides in Warsaw, Indiana, the orthopedic capital of the world. Interestingly, her connection to labeling began long before her consulting career. During a summer job, she verified and printed labels for a clean room, providing an early introduction to the critical role labeling plays in highly regulated environments.

Before we move into today’s conversation, allow me to introduce myself as your moderator. I’m also a Partner here at Network Partners Group, hailing from Pittsburgh, PA, and an alum of Penn State University and Point Park University. I’m joining you today with over 20 years of experience supporting life sciences organizations in a variety of QA and packaging roles, with a focus on ensuring that we bring safe and effective products to market and maximize positive outcomes for users of those products. I made my way into consulting by acting as an internal consultant during my days in industry. Outside of work, I enjoy spending time with my family — whether that’s on vacation, on the soccer fields with my daughter, coaching my son’s ice hockey team, or on the golf course.

Now, a couple of housekeeping items. For today’s conversation to be impactful, we’ll need your help — we’ll need engagement from the audience joining us. If you have comments or questions, please drop those in the chat or questions tab in the bottom right. If there are spicier questions you’d prefer to keep private, please reach out to Christine or me and we’ll find some time to speak with you. Everyone who signed up for this episode will also receive a copy of the recording. And now, I’m going to turn it over to Chris, who’s going to take us on today’s journey to talk about AI.

3:32 — Why AI innovation and compliance feel like conflicting concepts

Christine Bonifield: Thank you, Matt, and thank you to all of you for attending our inaugural episode of the Let’s Talk AI speaker series. If you’re familiar with the other Network Partners Group series — Let’s Talk Labeling and Let’s Talk PPWR — the Let’s Talk AI series will follow a similar format and function. Our goal is to provide monthly episodes, or approximately monthly. Sometimes we’ll host two a month, and sometimes we’ll be lighter, especially around the holidays. On average, our goal is a monthly episode cadence where we come together as industry professionals to share knowledge, best practices, regulatory updates, and other useful topics.

At Network Partners Group, also known as NPG, one of our core values is to be one team, and we consider you part of our team. We invite you to join us in your growth and curiosity — another one of our core values — as we embark on the AI journey together.

So let’s dive in. Throughout our time today, we’ll prompt you to decide if some of the graphics were AI generated or not. Let’s start with this slide. Before you decide, keep in mind that NPG has a crazy talented marketing team. As I continue, drop into the chat whether you believe each graphic is AI generated or not — simply by typing “AI” or “not AI.” And I know, I just broke a crucial presentation rule by giving you permission to be distracted by participating in the chat. But we can do this. We’re going to stay together.

When I was first approached about creating the AI speaker series, I was thrilled and excited — and then I was overwhelmed. Extremely overwhelmed. I could hear my eighth-grade speech teacher asking, “Chris, could you have picked a bigger topic?” With respectful response to the late Mrs. Harvath, I would have shared with her: you know what, this may be the most important and timely topic that needs to be discussed. And then I would assure her, and you, that we will not be able to cover everything today — which is why we dedicated an entire series to this topic.

Today’s objective is to start our journey together, to embrace the noise of AI, and to know that there is a path forward. One, two, three. I know this sounds like the now familiar rule of three we see in many AI responses, but I assure you that this presentation is my thought, my experience, my creation. It was Mrs. Harvath who taught me the rule of three.

When we talk about AI innovation and we talk about compliance, they seem to be conflicting concepts. They really don’t seem to go together. So how do we bring these concepts together?

7:14 — Uncharted waters: the wobbly stones and the roar of AI

Christine Bonifield: We are in uncomfortable waters. On the image on the left, some of the stones are a bit wobblier than others; some may be slick and challenging; some may provide solid footing. But do we know which stone is which? It’s scary and exciting, and rest assured, we’re starting this journey together.

Now let’s look at that middle picture. Think of the water and the waves as AI innovation within a regulated industry. The waves are hitting. The sound is nearly deafening, and the mist is hitting your face — the noise, the smell, the vastness. It’s a lot to take in, and it’s invigorating. Some of us thrive in this environment, while others of us want to hit the panic button.

AI can be overwhelming. AI is vast. AI is noisy. AI is a lot to take in. But we’re going to do it together. We’re going to hear the roar. We’re going to feel the mist. And we’re going to embrace this.

The goal of this webinar series is to get to the graphic on the right. Notice I said webinar series. We won’t get to a fully known path during our time together today. Rather, we’ll know a clear path is ahead of you, and support is alongside you on your AI and compliance journey.

How’d you do in the chat? That first image was actually created by our talented marketing team, who did use AI. If you got it right, well done.

9:07 — Why an SME is leading a conversation about AI

Christine Bonifield: I suspect some of you did a quick LinkedIn search to learn, “Who is this Christine Bonifield?” And I believe my suspicions may be correct, by the increased number of connection requests I’ve been receiving. As you looked at my profile and my posts, you likely noticed that I am a huge advocate for life sciences labeling and for Network Partners Group. Isn’t it great when you get to love your job?

What you didn’t notice was an IT background or a software-developer background. Actually, I still have an iPhone 14. So why am I leading the conversation about AI? That’s a great question.

10:03 — Six years ago: NPG’s uncharted AI journey begins

Christine Bonifield: Approximately six years ago, NPG embarked on a very uncharted AI journey. I want you to think back to six years. Where were you in your life? Where were you in your career? Do you remember much chatter about AI? AI discussions existed, but not on the level we see today.

I think of it like the old maps we used to see in our geography textbooks or e-textbooks. These maps showed land masses — some were identified, but a lot of that land was unknown. We were truly on an uncharted journey six years ago. But we were determined, and we dove in. And we developed an AI-enabled tool for label analysis and verification.

Let me say that again — an AI-enabled tool for label verification. AI. Labels. Compliant labels. How does this all go together?

11:19 — Meet FALCON Labeling AI (and why our brains can’t verify labels)

Christine Bonifield: Meet FALCON. FALCON Labeling AI is our AI-enabled label analysis tool. Okay, technically this is not FALCON — this is a promo graphic for FALCON. I’m going to give you a moment to read this slide. You did it, didn’t you? And you did a great job, right? That’s the scary part. You could read this slide successfully. Your brain is an amazing organ, but this talent is not so amazing when you’re trying to verify labels and your brain reads what it thinks it’s supposed to read rather than what it actually should read.

Before I continue, I want to pause quickly for another audience-participation opportunity. Is this graphic AI or not AI? As you drop your opinions in the chat, I assure you this is not going to be a promotional commercial for FALCON. We can talk about how FALCON AI is different from vision systems, how it guards against unintended label changes, and what roles it serves in our industry — another day, another time.

Today, our focus is to share NPG’s journey of developing an AI-enabled tool to support compliance in our industry. And by developing, again, I don’t mean I’m a software developer, and we don’t have a team here at NPG of developers sitting in a back room or front room. We don’t have them. But we developed a powerful tool for a regulated industry, and I’m sharing our AI journey as an SME. I’m talking to you, my fellow SMEs.

I served as the project manager for our FALCON development project. I also got to throw on my SME hat as we were having brainstorming and development sessions. We’ll circle back to FALCON and our FALCON journey in a bit. But let’s check on the chat. This is not AI generated — a graphic artist created our logo six years ago.

Another opportunity: how did we do on this one? AI or not AI? While you’re putting your opinion in the chat, I want to share that this was by far one of, if not the most, challenging webinars I have ever put together. While I am proud to share the journey and our AI journey with FALCON development, there’s so much more when we consider AI innovation in a regulated industry. Maybe my speech teacher was correct — this is a huge topic.

So how do I boil the ocean in a webinar — let alone a lunchtime webinar, depending on your time zone? There’s so much. How do we make sense of the noise? We do it together. And I think you nailed this one in the chat: this photo is not AI generated. This is a picture of a shoreline in Puerto Rico, taken with my handy dandy iPhone 14.

15:03 — The AI agent landscape and vocabulary that make our brains hurt

Christine Bonifield: Let’s dive into the noise. When I mention AI, probably some of these agent names pop up in your mind. You may be using some of these. But what about some of these others? Interesting fact: as I was pulling together this slide, I googled popular AI agents. Then I asked Bing — I got a similar list, but not the same list. I dropped the prompt into ChatGPT — again, a similar list, not the same as the first two. Microsoft Copilot — you’re picking up on the pattern. There are many AI agents, and many more not on this slide. To say this is the tip of the iceberg would be a grossly huge understatement.
Are you feeling the AI waves starting to crash around you? Are you getting the mist in your face and eyes? Let’s throw a vocabulary test your way. How would you — or could you — define each of these terms? What about the acronyms we hear and maybe use? ML, MR, RL.

As you study this slide, I’m guessing you are familiar with many of these terms, while others are probably new to you. A couple of terms that stand out to me: on the right side of the slide, the word “hallucinations.” While AI hallucinations sounds pretty fascinating, it does not sound factual or helpful. And in a regulated industry, that sounds scary. Concerning. What about that term on the left — “unsupervised learning”? Is your brain starting to hurt a bit? You’re not off the hook yet.

How much do you enjoy having to prove to a robot that you, in fact, are not a robot? Okay, you need a break from all this noise. So let’s do another audience participation. Focus on the image on the right side with the traffic cones. Notice the directions at the top — you’re supposed to find the bicycles. AI or not AI? Drop it in the chat.

As you finish, take a look at the bottom-left image. Have you been challenged with a similar exercise? I’m sure you have. You’ve probably hit refresh: “yes, I still can’t read it.” It’s not because you need glasses. It’s challenging for us because our brains are trying to turn it into a word, and we misread the letters — or the brain tries to turn the letters into other letters in its attempt to make a word and make sense out of that. I will concede that sometimes the letters are just squished together, making them illegible. Hit refresh until you can read it — similar to our FALCON slide earlier.

So how’d you do in the chat? I see mixed reviews — a lot of mixed reviews, mostly “not AI.” Truth be told, I don’t know. I don’t know if this is AI. I don’t know if this is an image somebody put together. I don’t know. How can we know? Welcome to the challenge of AI in a regulated industry. We do not have the option to not know if the data is correct. You, the SME, need to know.

Hint: we have a future episode dedicated only to talking about validation. And “HITL” — do you know that acronym? Human-in-the-loop. You’ll know that one by the time we’re done.

19:37 — The FALCON origin story: two industry needs meet one curious quality engineer

Christine Bonifield: As promised, we’re going to go back to FALCON. Recall the slide at the beginning of our conversation where we were back to the wobbly stones of the uncharted waters. I want to share the inspiration that drove us to developing FALCON. It was ignited at the intersection of two industry needs and a fellow NPG colleague — a quality engineer — and his curiosity.

So let’s talk industry needs first. The industry needs surfaced for us around the time of EU MDR (Regulation (EU) 2017/745). People were making updates to their labels, and their legacy vision systems were challenged. You see, vision systems are normally built to evaluate pixel to pixel. The challenge arose when a symbol was moved or resized on the label — the vision systems flagged it as a potential area of concern. With EU MDR, people needed to move label elements around or add new elements. Many labels were flagged as concerning, and the label verification process became more time consuming and challenging.

Our vision was to design a verification tool that focused on whether the label had the required label elements — such as the ISO 15223 harmonized symbols — or didn’t have them; where the symbol was located; and the size of that symbol.

The second industry need that existed, and that inspired our goal for FALCON, was that labeling systems existed that did not have labeled data living in a database. This makes it difficult — okay, nearly impossible — to pull a where-used report. In other words, if you want to know if a specific symbol is on specific labels, you need to review each of those labels visually to see if the symbol is or is not on the label. Another challenge, due to the lack of a database, is that your data is not accessible. So if you want to move to a new labeling system, you’ve got to get your data in a workable state.

Traditionally, that solution looks something like having somebody — or some bodies — review the existing labels and then hand-enter that data into a spreadsheet. We had a company share with us that they had spent over a year and over a million dollars executing a plan like that. Guess what happened a year later and a million dollars later? They had data they couldn’t use. There were human errors. There were typos. They were essentially back to where they started. At NPG, we knew we needed to find a better solution for our clients. And FYI, we were not the ones hand-typing. Just making sure — check that box.

There’s a saying that timing is everything. Timing certainly was on our side. As we were seeing these needs and asking, “where are we going to go with this?” — one of our NPG quality engineers was busy feeding his curiosity and taking an AI course, just for fun. He shared with us his excitement, his learnings, and his ideas. These conversations started to happen often, and we were excited. Remember, this was six years ago, and we were discussing this. I wish I had videos of our brainstorming sessions. I expect there may have been smoke coming out of our ears during those discussions. Together we dreamed, we wondered, we questioned, we threw up caution flags, and a lot of “yeah, but… yeah, but…” But you know what? We were driven. We saw that intersection as a way to take care of industry needs and move our journey forward. And that’s where we started our journey.

24:22 — From vision to build: the big questions you’ll face if you develop an AI tool

Christine Bonifield: We were on our way — but deep into really uncharted waters. This next slide is where Mrs. Harvath is like, “you are way too deep. It’s way too big.” Too big of a topic. We’re dedicating at least one episode to dive deeper. I’m going to give you a little teaser today. These are some of the big questions we navigated. You too will encounter these questions — or you should certainly make sure you consider these questions — if you decide to begin developing an AI tool.

So how did we move from a vision? And how do we create? That was really a significant obstacle for us. Again, we were not software developers, nor did we pretend to be. How do we find the right developers? How do we even know what questions to ask potential developers to know if they’re the right developers?
Another ever-looming question was: who will use this? Or to quote Field of Dreams — if we build this, will they come? I’ll tell you, this particular question was extremely scary for me to shoulder. We were asking our company to invest not only time and money, but to trust that our vision would be worth the commitment. Talk about sticking your neck out. My neck out. Our team’s neck out.

In future episodes, we’re going to talk about how we put some safeguards in place — including how we researched and quantified the industry need, why we created an MVP (Minimum Viable Product), and what we did about beta testing.

26:39 — IP and validation: the two questions that came up in every session

Christine Bonifield: Another big question to address — and let’s be honest, all of these are big questions, but I want to take a moment on this one — is intellectual property (IP). About three years ago, I copresented with fellow NPG colleagues at an AI and project management conference. As I was attending the other sessions, two questions repeatedly surfaced in every single presentation: number one, how do we protect IP? And number two, how do we validate this? There was one presentation that satisfyingly addressed both questions — it was the NPG presentation.

Again, this is way too large to address today, but a teaser is that we worked with our Quality department — they are top notch — and we worked with the Quality departments of top companies within our industry. We worked with our developers. We asked questions. We threw up obstacles. When we wrote our User Requirements Specification (URS), validation and IP were non-negotiables throughout the initial development.

28:08 — Human-in-the-loop as SME leadership

Christine Bonifield: We can’t discuss validation without discussing human-in-the-loop. Human-in-the-loop is one of my favorite topics — I’m actually pretty passionate about this. Why? Because we are the SMEs in our industry. We are needed in our processes, whether they’re AI or not. We need people who know, and who protect, compliance. You are instrumental in the formation of your path forward.

28:48 — FALCON in production and the collective journey ahead

Christine Bonifield: So let’s look a little further — let’s keep going. We crossed the finish line with our development and implementation of FALCON. FALCON AI is doing a great job — people love it. But our journey hasn’t finished. Future improvements and versions are still being planned for FALCON, and we continue to look for ways to further innovate, automate, and give back to our industry.

We’re on this journey together. NPG has navigated the waters. We have filtered out the noise, and we have successfully built a path to bring our vision to reality. While on our journey, we learned where the wobbly stones were, and we knew the ones that gave us a little more secure footing. That’s valuable knowledge as we — and I’m talking collective we here, all of us — head into our next innovation or automation.

They say we’re all digital companies. And while we may be using different AI tools, we need to figure out where these tools fit and how they fit safely in our regulated world. We’re on the same path as you as we continue to develop our AI strategy and bring continuous improvement. How can we innovate here? How can we automate there? We are doing just what you’re doing, and it’s an exciting journey to be on.

30:15 — Coming up: AI literacy, AI culture, and the URS deep dive

Christine Bonifield: Before we head over to Q&A — and don’t forget, you can keep dropping questions in — I want to give you a little teaser about some of our future episodes. Disclaimer: the order of these future episodes will probably not match the order of these slides. Titles may get redefined as we further define the order, topics, and speakers.

Let’s talk about AI literacy. Have you ever been sitting at a dinner or other event where a question arises and everyone pulls out their phone? Someone pulls up ChatGPT. Someone else pulls up Claude. Someone else, Google AI. And some people refuse to pull up their phone. Similar scenarios are happening across companies and across business units. Should we all use the same AI tool or AI tools? Is there a reason for multiple tools? Do we have alignment? Do we need alignment? Are there opportunities across business units to collaborate and learn from one another?

Another future episode: AI culture. How does that saying go? The only constant in life is change — or something like that. Experience has shown that if you do not manage change and try to move forward when people are not on board, you’re going to face resistance and challenges. You’ll have the early adopters. There will also be early adopters who say, “yeah, let’s do that,” and then don’t do anything. There will be people who say, “okay, I’m interested, but I’m going to see how that first wave goes and then I’ll decide if I’m actually going to dive in.” There will be people who stick their heels in — “nope, I am not doing that; that is not me.” And you’ll have others somewhere along that continuum. You need to address change, you need to manage change, and you need to have a plan. We will walk that tightrope with you and help guide you as you develop your change-management plan.

I’ve talked a lot about the development of FALCON, but there’s more we haven’t discussed. This is deep-dive time. It may lead to more than one follow-up episode. We’ll provide suggestions for writing your URS. Your User Requirements Specification is huge, and you don’t want to skip it. You have a vision, and you need to be able to clearly articulate that vision. This is essential because it will (1) help you find the right developer and partner, (2) help you find a champion — because you’re going to need some financial backing — and (3) help make sure whatever is developed is what you actually envisioned.

We’ll share how we found our developer partner and how we knew they were the right partner. You will need to build your team. You need someone to drive the project — it may not be you. Who are your technical SMEs going to be? You’ll need that financial backing. You need a champion to advocate with you and for you. You need to bring in your Quality team very early. And yes, I see those quality people on the call high-fiving at that statement. Okay, I really can’t see you — but in my mind, I’m seeing those high fives happening. You need to make sure whatever you develop, you can validate. And you need QA at the table for those discussions.

We’re also going to talk about best practices in our regulated industry. How do you protect IP? I know I’ve said it before, but guys, this is a biggie. You have to protect intellectual property. I know I’m singing to the choir here, but I can’t go out without saying it. You need to establish your internal AI policies and procedures. If your team members are randomly using AI agents that are not protected or regulated, are you really protecting your IP? Internal AI policies and procedures — essential.

And you need to start dreaming. It’s not just about innovation, but automation, too. Yes, there can be overlap between the two — sometimes innovation like FALCON does lend itself beautifully to automation. Our focus at NPG is to support our clients with their compliance, their digital transformations, and their technical operations. We provide that support with our SME expertise in regulatory, labeling, packaging, and project management. Use our team as your thought partner. Are there places where automation can improve your business needs? It’s not uncommon for companies to have highly skilled engineers and SMEs performing very administrative tasks — automate those. Free people up to do the brain work, not the grunt work. You’ve heard the term “garbage in, garbage out” — make sure you clean up your processes and procedures before you try to automate them.

Now, I can assure you: off camera there is a whiteboard of future episode topics and ideas. But there’s still room on the board for your input, too. I personally am looking forward to the future episode leveraging good prompts in AI. Tentatively the title is “It’s all about the prompt, ’bout the prompt, no trouble” — hear that with Meghan Trainor’s “All About That Bass” playing in your mind. Okay, I’ll bring it back in.

Are your inboxes being flooded with AI solutions that will make your job easier, your life easier? I know mine is. Maybe one or some of those solutions would be a huge benefit to you. But how do you know? How do you guard against the challenges we talked about earlier? That is an episode you want to make sure you attend. And as the slide reads, there is so much more to come. Stay connected, and we will keep you informed. Matt will share how to stay informed momentarily.

37:45 — Closing: a path where you feel excited, guided, and ready

Christine Bonifield: I know I threw a lot at you today, and you made it. My goal was to get you to see a path where you feel excited, where you feel guided, and where you feel ready. I thank you for joining me, and I thank you for your engagement in the chat. You did really well sniffing out AI-generated images, and we are excited to be on this journey with you. So let’s lock arms and get this head on together. Back to you, Matt.

Matt Burger: Thanks, Chris. Really appreciate you taking the time to walk us through balancing AI innovation and compliance in life sciences today. A lot of knowledge that you shared, and I’m excited — and I’m sure the folks that are on today’s call are excited — for additional installments in the Let’s Talk AI webinar series.

It’s also clear to me, and hopefully to the audience, that when challenges arise at your respective organizations — which we’ve all experienced — you often are looking for a trusted partner. And we can certainly be that trusted partner for you. I came from industry prior to joining NPG.

I also wanted to give a big thank you to the NPG marketing team. Without them, we would not have been able to put on this webinar without a hitch. Huge thank you to them — they make Chris and me look way better than we are. They also help ensure that when we have a conversation with industry and host these webinars, it actually matters to you. They’re out there trying to understand what your voices are saying and craving from a content perspective. So thank you to the marketing team. And my final thank you is for today’s audience. Like Chris said, we can’t put these on without you attending, and we can’t make them more impactful without you participating. Without your support, NPG would not be able to support the life sciences industry the way we do. You’re a big part of that. Thank you to the audience today.

40:27 — Q&A and how to keep the conversation going

Matt Burger: The next thing I was going to bring up was Q&A. I don’t see anything in the questions tab, so that could either mean, Chris, you did a fantastic job and answered any and all questions on the fly, or we’ve got some spicy questions that folks are afraid to ask — and it’s okay to be afraid to ask. You can certainly set up time with Chris or me. You should see QR codes on the screen. You can take out your handy dandy iPhone — hopefully it’s newer than a 14 — and it will take you to a page where you can reach out to us. Chris and I would be happy to have a conversation with you. I’m going to be quiet for a minute to see if anybody drops in a quick question. But if not, I think we’re done for the day.

Christine Bonifield: Thank you, Matt, and thank you all. Again, like Matt said, connect with us. Throw your ideas at us — we want to make sure we hit future episodes that meet your needs. Please feel free to share this webinar with other people. You will get the replay shortly. And also, please make sure to attend our Let’s Talk Labeling and Let’s Talk PPWR series as well. I appreciate all of you attending. Have a great day.

Talk to NPG’s Digital Transformation experts

Explore Digital Transformation support