Thanks, Nathan. Hello, everyone, and thank you for joining us. We began 2024 with the strategic priorities of infusing AI into more of our products and tools, transforming and expanding our sales force and integrating Moritex, our largest acquisition in company history. I am pleased with the progress we made against these strategic priorities in 2024. We expanded our portfolio of machine vision products powered by world-class AI. A couple of highlights include the industry's first AI-enabled 3D smart camera, the In-Sight L38 and the addition of the modular vision tunnel portfolio, featuring the powerful DataMan 380 barcode reader that uses improved decoding, optimized for logistics applications to minimize footprint, maximize depth of field and read the smallest codes. We successfully executed our sales transformation, deploying a new type of sales noid to broaden our sales reach to customers we have not traditionally served. And we successfully integrated our largest ever acquisition, Moritex, which gives us a more complete machine vision solution and contributes positively to our bottom line. This transaction was accretive to adjusted EPS in 2024, which led to a slight increase in adjusted EPS for the year in an otherwise soft market. In 2024, our logistics and semiconductor businesses gained momentum, but conditions across our broader factory automation business remained challenging. Most of these markets stabilized throughout the year. Despite a slight improvement in relevant macro leading indicators such as PMI, we still characterize our core factory automation markets as soft, but stable for now. The exception continues to be automotive, where we saw a pronounced step down in 2024. Coming into the year, we expected automotive to grow, helped by significant EV battery spending, but this investment dropped off throughout the year, leading automotive to be our weakest end market in 2024. We continue to see uncertainty in auto as we begin 2025. These mixed market dynamics led to overall revenue growth of 9% or 1% excluding Moritex for the full year. Throughout 2024, while we continue to invest in long-term growth initiatives, we stay disciplined in our approach to discretionary spending and thoughtful about hiring. I now want to provide you with a more detailed update on our strategic initiatives. We are seeing rapid changes in technology with powerful chips accelerating AI innovation. For industrial machine vision, this means moving beyond the world of rules-based algorithms towards a more sophisticated suite of powerful artificial intelligence tools. Transformer models are overtaking convolutional neural networks as the foundation of deep learning. As this shift accelerates, customers will need significantly less data to train and configure our products, and we'll be able to ramp up and scale production faster. This will allow machine vision to address more applications and reach more customers. Cognex is defining the leading edge of this shift in industrial machine vision technology by launching industry-leading products that leverage AI to solve customers' problems. Our new products address the full spectrum of machine vision applications. At one end of the spectrum, new AI allows us to excel at the most complex and difficult inspection tasks, while at the other, it allows us to develop products that are easy to deploy and easy to use. In December, we launched VisionPro Deep Learning 4.0, illustrated on Page 4 of our presentation. This powerful software designed to tackle the most difficult problems in machine vision is Cognex's first-ever product to utilize transformer models. Transformer technology, which forms the core of sophisticated large language models such as ChatGPT can help to vastly reduce the number of images required to train and implement a machine vision model. VisionPro Deep Learning 4.0 signature few sample mode achieves high levels of accuracy on some of the most sophisticated inspections after training on as few as 10 images. Previous versions would have required hundreds of images to train a vision model with such capability. This is very valuable for customers who require high accuracy but do not have large training data sets, which is often the case as they scale up their production. It is also important for customers whose production cycles are only a few months long and therefore, require effective models to be ready in weeks. Few sample mode saves customers' time collecting, labeling and managing image data, which has historically been a costly process. We have also expanded our DataMan series to address more applications for customers looking for easy-to-use products. As illustrated on Page 5, our new DataMan series makes identifying and tracking parts and packages across the facility easier than ever. Regardless of industry, code quality or application complexity, embedded AI in these next-generation readers helps deliver exceptional read rates for reliable performance at every stage of production. Our latest DataMan products are examples of the products that allow us to get our highly advanced powerful technology into the hands of customers with less machine vision experience. We continue to tap into this broader customer base by investing to transform and expand sales coverage. Moving to page 6 of the earnings presentation. We are enthusiastic about the progress of our sales transformation in 2024. Our first class of new sales noise continued to ramp with Q4 representing their highest quarter of bookings to date, leading to over 3,000 new customers acquired by this group in 2024. These entry-level sales noise are also continuing to gain strong traction in referrals of more complex vision systems to our more technical and advanced sales noise. The second cohort of new sales noise entered the field recently, and we expect this to further grow our customer base in 2025. We remain confident in the long-term value of our sales transformation strategy, allowing us to serve more customers with easy-to-use products. We're excited to continue this strategy and introduce a new cohort of sales noise each year. As we plan for future years, we will be flexible about cohort sizes and be responsive to market conditions. Turning now to what we are seeing across our end markets, which you will find on page 7 of the earnings presentation. I will discuss the end market results for the year, excluding the contribution of Moritex. End markets have been mixed as we have seen both continued softness as well as pockets of growth. Starting with logistics, revenue grew 20% in 2024. We continue to see broad momentum in logistics from global e-commerce leaders as well as regional e-commerce, retail and parcel and post providers. Market growth has improved as large e-commerce players return to capacity expansion and broader logistics remains an under penetrated market. We believe we also gained share with recent product innovations, including the success of the modular vision tunnel and DataMan 380 launched last year. Moving on to automotive. Revenue in automotive was down 14% year-on-year. We continue to see declines in EV battery investment and tentativeness in large capital projects across the broader automotive business. Coming into the year, we expected strong growth in EV battery investment and for it to be one of our largest growth engines. But as the year progressed, we saw delays, reductions and cancellations of EV battery projects. We still expect EV battery to be a long-term growth driver, but likely not in 2025. Consumer electronics revenue was down 5% year-on-year as smartphone design changes remained limited, and we saw conservative CapEx spending across the market. Consumer electronics has positive long-term trends. Currently, our expectations for near-term investment in consumer electronics are tempered, but we tend to have a better line of sight to this by early Q2 each year. So we will give you another update on our next earnings call. Lastly, Semi is continuing to build with significant year-on-year growth, albeit off a low 2023 base. Growth is widespread across semi with investment increases from major machine builders, but we have seen strong demand driven by high bandwidth memory chip investments. As we kick off 2025, we expect momentum to continue in Logistics and Semi, Automotive to remain weak, and other factory automation growth to be relatively in line with macro indicators such as PMI. We continue to see disruptive trends playing out in our markets. AI technology is making our products more accessible, to an increasing number of customers and applications. We lead the industry in making, Machine Vision Technology usable by industrial customers at scale. With this, we can automate more inspection tasks and grow the Machine Vision market, both by solving more of our sophisticated customers' most challenging problems, but also by making our powerful technology accessible, for those less experienced in automation. Let me now hand it over to Dennis, to walk you through the financial results and the outlook for the first quarter.