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Addressing Workforce Constraints in Data Center Construction
The Data Center Investment Conference and Expo (DICE): National brings together owners, operators, and builders at a time when data center demand continues to rise while the available workforce remains constrained.
Industry research shows that construction productivity has improved only modestly over the past two decades, even as project complexity has increased and labor availability has tightened. For teams delivering large-scale data center projects, this creates pressure on schedules, coordination, and overall execution.
Doxel is excited to attend DICE National, joining industry leaders as they share how teams are approaching these challenges in real project environments.
May 12–14, 2026
Day 1 Session | 2:10 PM – 2:50 PM
The panel includes perspectives from owners and operators who are directly responsible for delivering complex infrastructure programs.
The discussion will focus on how organizations are adapting to workforce constraints while maintaining delivery timelines and quality standards. Key topics include:
These challenges are not isolated to hiring. They affect how projects are planned, tracked, and executed from day one.
Doxel approaches workforce constraints as an execution and visibility challenge. When labor availability is limited, improving how work is tracked and managed becomes critical.
Doxel provides:
On data center projects with partners such as DPR Construction, this approach has supported a shift toward more consistent, data-driven benchmarking and improved confidence in project decision-making.
Data center projects require precise coordination, tight schedules, and rigorous quality control. Workforce limitations increase the risk of delays, rework, and misalignment between teams.
Improving visibility into project progress allows teams to:
This level of visibility helps teams maintain performance even when labor conditions are challenging.
This session will provide practical insights from industry leaders managing workforce constraints on active projects.
For owners, developers, and contractors involved in data center construction, it offers a clear view into how execution strategies are evolving.
Where Speed Meets Precision in Data Center Construction
The pace of data center construction has changed.
Schedules are tighter. Labor is harder to find. And the tolerance for error is almost zero. Owners and builders are being asked to deliver faster than ever, often on projects where even a small delay can cascade into millions in lost revenue.
That’s exactly why Doxel is heading to the DICE Pacific Northwest Data Center Investment Conference & Expo.
This event brings together the investors, developers, contractors, and technology leaders shaping the next generation of digital infrastructure. And this year, one topic is rising above the rest: How do you build faster without losing control?
The demand for data centers continues to surge, but the industry’s ability to deliver them has not kept pace.
Global construction productivity has barely moved over the last two decades, increasing just 0.4% annually, even as project complexity has grown dramatically
At the same time:
The result is a widening gap between what needs to be built and what can be delivered.
To close that gap, leading teams are rethinking how projects are executed. They are combining modular construction strategies with real-time, objective visibility into progress.
Speaker: John Rewolinski, PSP, Head of Scheduling Analytics, Doxel
Session Title: Speed Meets Precision: How Modular Delivery and Construction Tech Are Redefining Data Center Execution
This session focuses on a simple but critical challenge: Speed alone is not enough. Precision is what keeps speed from turning into rework.
Attendees will learn:
Most construction teams still rely on a familiar process:
The issue is not effort. It’s timing. By the time a deviation shows up in a report, it’s often weeks old. On a data center project, that delay can mean:
Doxel changes that dynamic by delivering objective, automated progress tracking that compares actual site conditions directly to the BIM model and schedule.
Instead of asking what’s happening, teams can see it.
Doxel was built for complex, fast-paced projects where precision matters.
With Doxel, teams can:
This approach eliminates manual reporting gaps and gives teams a consistent, accurate view of the jobsite
The impact is clear:
Construction is not getting simpler. But it is becoming more measurable.
With the right combination of modular delivery, AI-driven insights, and objective progress tracking, teams can finally deliver projects at the speed the market demands without sacrificing quality or control.
Doxel is helping lead that shift. See Doxel today.
When the scan says "not installed," and the trade says "we did it," the answer might be a quality problem, not a data error
▶ WATCH THE FULL PRESENTATION
Computer Vision Is the Andon Cord Construction Has Always Needed
LCI Conference 2025 · Reid Senescu, Doxel & Mike Miller, DPR Construction
Doxel's system was designed to track progress, but on a hyperscale data center project with DPR Construction, it caught something that no daily report, RFI, or schedule update had flagged, and the lesson that came out of it changed how the team interpreted data discrepancies entirely.
The story starts with a flag. Doxel's AI detected uninstalled security components near certain doors. The electrical trade partner pushed back hard, claiming they had roughed in all the security to those doors. In their estimation, the work was done.
After further investigation, the team found the truth: the security boxes had been installed. Three feet to the right of where they were supposed to be.
The components had been physically installed, but they were mislocated relative to the BIM. When comparing the 360° site photos against the model, Doxel’s AI correctly identified them as not installed in the designated location.
"If something's showing as not installed and the trade partner says it's installed, we probably have a quality control problem. Not the intended use case — but awesome to see."
— Mike Miller, Superintendent, DPR Construction
The team had stumbled onto a new interpretive principle. When Doxel flags something as missing and the trade says it's done, don't default to assuming the data is wrong. Investigate. The discrepancy might not be a tracking error; it might be a quality flag.
Mike was direct about what happened next and what it cost. Rework followed. But by investigating when they did, the team headed off even higher costs than if the issue had been found later.
REWORK WARNING: Dismissing data because it contradicts expectation is how quality issues get buried. The cost of investigation is almost always lower than the cost of rework — especially once walls are closed.
This is not an abstract lean principle. It played out on a real job, on real infrastructure, with real rework costs. The lesson is practical: when scan data and field reports disagree, treat the disagreement as information, not noise.
Construction quality management has traditionally relied on scheduled inspections, trade self-reporting, and periodic walkthroughs. These methods work reasonably well for obvious defects. They are poor at catching components that are physically present, but are installed in the wrong place relative to the design.
Computer vision can fill this gap by comparing what is physically present against the BIM at the component level across all visible trades every week. Mislocations look identical to missing components from the system's perspective, because in both cases, the component is not where it should be.
The practical recommendation from Mike's experience is to establish a protocol for investigating discrepancies rather than defaulting to dismissal. When a trade reports complete and the system reports incomplete, send someone to review the discrepancy. It only takes minutes, but it can prevent weeks of rework.
There is a secondary benefit this story highlights: objective, time-stamped documentation of installation location for every component. On a complex facility like a data center, where systems are dense, and modifications may be needed years later, having a record of where things were actually installed, not just where they were designed to go, has ongoing operational value.
This use case wasn't in the sales deck. It emerged from a real disagreement on a real job. That's often how the most durable capabilities get discovered.
Accurate, reliable data allows construction companies to remove subjectivity and replace it with objective accountability.
Communication can make or break a construction project. A report from the Project Management Institute found that ineffective communication was the main contributor to project failure one-third of the time. An even more alarming finding from the research is that 56% of budgets allocated to projects are at risk due to poor communication.
Without objective insights alignment among field and office teams, knowing what’s happening on a project becomes a daunting task—one that could put a project (and its profitability) at risk.
1. Delayed communication
Timely communication (especially between the field and the office) is hard to achieve. Field teams are focused on a hundred different things at once, and relaying project updates typically happens at the end of their day. Because field leaders aren’t able to instantly communicate every facet of a project’s progress as it happens, there is a lag time and gap in each day’s reporting.
2. Inconsistent communication
In addition to being delayed, communication from the field to the office isn’t always consistent. The more variables and people added to the equation, the more potential for confusion and uncertainty. Communication on a project can very quickly turn into a game of telephone—and teams are forced to hold more meetings and conversations to ensure mutual understanding.
3. Missing communication
While delayed and inconsistent communication can hold a project back, missing communication can halt it entirely. If proper communication isn’t happening, neither is profitable building.
All these challenges in communication don’t just create extra stress and work on a project—they can have a deeper impact on the data and tracking, too. Without everyone on the same page, the reporting and insights are left to everyone’s individual perspective. As a result, the project’s insights suffer.
Accurate, reliable data allows construction companies to remove subjectivity and replace it with objective accountability. Insights that are trackable and consistent bring everyone together on the same page to make informed decisions, faster.
Improve communication and progress tracking
Streamline billing and accountability
The key to collecting reliable insights is through automated progress tracking. The right tool can increase team alignment and communication, without adding effort to the project team’s plate.
Doxel brings predictability to construction projects by providing critical insight with objective analytics. The AI-powered computer vision builds a digital twin of the jobsite on a weekly basis—providing true progress reporting and near real-time data. Doxel acts as a digital surveyor to capture and quantify project progress and eliminates the need for teams to manually calculate and report on it. The result is detailed, shared progress tracking from a single source across every project stakeholder and subcontractor.
Strategies for maintaining a healthy work-life balance.
Doxel CEO Saurabh Ladha is featured on The QTS Experience Podcast with David McCall. David and Saurabh discuss the impact of waste and rework in construction.
Saurabh discusses how Doxel integrates AI with established processes to build faster. Join us for the conversation, on the next QTS Experience. Episode 191; Saurabh Ladha: Intuitive Construction, AI, Doxel, Innovation, Data Center.
Advice for maintaining mental health in the workplace.
Many construction companies are at a crossroads as they think about the future of their business, and who will be a part of it.
More than 40% of the current U.S. construction workforce is expected to retire over the next decade. This generation of seasoned superintendents and project leaders will leave behind big shoes to fill in both skill and knowledge, and the industry’s current skilled labor shortage doesn’t exactly help either.
While many owners, GCs and trade contractors have programs in place to mentor younger generations and train them to step in, it won’t be enough to bridge the gap. That’s why it’s important for companies to ensure they are innovating to attract more workers of a new generation.
The construction industry has made huge strides to change and adopt more technology, but it can’t stop now. The younger generation that’s coming into the workforce over the next ten years was raised in a time where technology was already prevalent and is like second nature to them.
If a company wants to attract and retain a new generation of field leaders, they need to have processes in place that don’t just utilize technology, but are on the forefront of innovation, too.
A project isn’t truly done until it’s done done. And whether or not it gets to done done on time and under budget all comes down to how it’s being tracked during the construction phase. The old way of progress tracking involves a ton of manual effort and even more paper. Field teams would have to document what happened by hand on a regular basis and manually report on the overall progress completed.
Not only was this inefficient and extremely time-consuming, it also made it nearly impossible to try to predict where the project was headed or spot any potential issues fast enough to fix them. Even with the utilization of 3D and BIM models, knowing where a project stands hasn’t been as automated as it should be.
Convincing new, younger workers to take on these outdated processes isn’t an easy sell. Chances are, they’ll feel their time is being wasted since they are so used to the convenience and automation that technology can bring. In order to attract more workers to be on project and field teams, the processes they follow need to be seamless and even a little exciting.
Construction companies that are leveraging artificial intelligence and machine learning to automate the collection and analysis of project data are already ahead of the game. While the new generation may be more traditionally more technologically savvy, AI is new and exciting to everyone.
Rather than spending hours per week manually inputting and calculating progress and materials, solutions like Doxel use AI alongside 360-degree capture to automatically identify true, objective progress. This ability to bring predictability to projects doesn’t just save field teams time—it provides critical insights that help avoid delays and cost overruns at the overarching project level.
Instead of them feeling like just another cog in the machine there to collect data over and over again, technology of this caliber empowers workers to think critically about the status of projects and seek a deeper understanding of what’s happening each day. Not to mention the sense of fulfillment that comes when a team works together on a project that is able to be completed earlier with increased safety, less expense, and higher quality.
We can help you empower a new generation of field leaders. See how Doxel works in a personalized demo today.
Doxel’s computer vision-based progress tracking leverages AI to act as a digital surveyor that delivers insights and reporting in real time.
Now more than ever, construction companies are looking for ways to stand out from the competition—and that starts with staying on top of the latest technology that helps them build more efficient, profitable projects.
The future of construction technology will be a hybrid of artificial intelligence (AI) and machine learning working alongside the industry’s workforce.
But what does that mean?
Put more simply, artificial intelligence is the brain of the computer, and machine learning is the part of that brain that learns from data and makes informed decisions based on what it has learned.
Computer scientists have found a way to make the process of designing a building more efficient and accurate. By starting with the goals and parameters of a project, generative design is able to explore every possible iteration of a solution until it comes up with the best option.
This technology and its use has the potential to save architects and designers countless hours upfront—but it doesn’t replace the human touch completely. Once the optimal solution is found for the design of a building, a designer still needs to fine-tune the details and take it from there.
Robots are being utilized on construction projects to perform repetitive tasks (such as bricklaying) using AI to detect changes in conditions and maximize efficiency. While only a few robots have been added to the project ranks so far, it is expected that more of these AI-powered workers will be used as a method of streamlining productivity.
What’s our favorite robot in construction, you ask? Meet Spot: a robot dog created by Boston Dynamics used to carry image-capturing or laser scanning equipment that ventures where humans can’t. Spot’s ability to walk himself autonomously around a jobsite, including on uneven terrain, makes him a project’s best friend. Spot may not have AI infused into his DNA yet, but the future generations of Spot will incorporate AI for predictive and preventative analysis.
Milwaukee Tool first dabbled into the technology space with their wirelessly connected tools, but they’ve since enhanced their capabilities with AI to pinpoint the exact locations of where a tool was last seen. And they didn’t stop there—by adding algorithms and more advanced sensors to their tools, Milwaukee is able to combine the data of a motor drive with motor load information to make decisions on false trips.
It should come as no surprise that these technological concepts are being applied to the most important priority in construction: safety. Companies like NewMetrix have created an AI-powered solution to help predict (and prevent) safety incidents on projects.
By leveraging a construction-specific AI model, their platform can analyze existing data along with their proprietary program to provide actionable incident insights that have the power to keep workers safe.
While BIM has opened the door for 3D modeling of a project, it’s still nearly impossible to tell the progress or quality of a build without a human resource to manually sift through and analyze images. That is, until now.
Doxel’s computer vision-based progress tracking leverages AI to act as a digital surveyor that delivers insights and reporting in real time. It can automatically analyze visual data, measure installed quantities, and inspect quality for more than 75 different construction stages. This not only saves companies time, it also mitigates the risk of errors and delays that could become costly.
Putting the model in the hands of field teams every step of the way gives them immediate access to see where their efforts line up (or don’t) for the project.
Ever since the pandemic, QR codes have had a resurgence in society. When the world turned contactless, restaurants and businesses began leveraging QR codes for menus and signage. These small codes have since become a go-to for pulling up web pages quickly and conveniently.
As QR codes continue to become more prevalent, other industries have taken note and discovered ways to leverage them—and construction is no exception.
But before we get into that, let’s cover some basics.
The ‘QR’ in QR codes stands for Quick Response, which makes sense when you think about the way they work. By pointing a device’s camera at the code, a destination link is pulled up and can be accessed instantaneously.
While they may have become most popular after 2020, these codes are not a new technology. QR codes were first created in 1994 by the Japanese company and Toyota subsidiary Denso Wave as a more accurate way to track vehicles and parts during the manufacturing process. The original intention behind QR codes was to reinvent the barcode by making something that was easy to scan and could hold more data than the average barcode.
In a time where businesses needed to (and continue to) adapt, QR codes and smartphones have become a powerful duo to further streamline access to information.
It’s no secret the construction industry is facing some challenges. From labor shortages to supply chain, the circumstances have further shown the importance of operational excellence on a project. To help combat these challenges, maintain a high standard of execution, and minimize risks of mistakes, many construction companies have found technology to be the answer.
Can QR codes play a part in this? In our webinar Almost Done Isn’t Done, one Doxel customer shared his team’s innovative way of incorporating QR codes around the job site to bring everyone on the same page, faster.
By strategically placing QR codes around key points of the job site, all the contractors for the project are able to instantly access the corresponding models and plans needed. That way, when the contractor is getting ready for the install or build, they can simply scan the QR code to confirm what they need to accomplish.
Putting the model in the hands of field teams every step of the way gives them immediate access to see where their efforts line up (or don’t) for the project. This makes it easy to ensure accuracy while progress is being made versus waiting until it’s too late.
How do companies make their own custom QR codes? Here’s a handful of solutions to consider:
While this technology is helpful enough on its own, the destination of the QR code is what can really make the difference on a project’s path to operational excellence.
Let’s talk about what happens when laser scanning and real-time progress tracking join the party.
Doxel’s AI-powered tool automatically maps and overlays 360-degree video to the BIM and 3D models. The split view allows teams to quickly understand what’s in progress and what’s done, along with the quality of installed systems.
Site progress is automatically quantified and visualized and can be differentiated by trade to compare what’s there to what should be—and as a result everyone is objectively aligned on true progress.
Imagine all this at the touch of a button, a scan of a code. With the convenient access of QR codes connected directly to Doxel, field teams can better (and more instantly) answer two of a project’s biggest questions:
Are things where they are supposed to be?
Are we on schedule?
By having the color-coded, easy to understand analysis of progress just a QR code scan away, project teams can be more proactive and accurate in their work.
If you’re ready to take your project models to another level, schedule a demo of Doxel today.
Work In Progress reports provide accurate progress data that project teams can trust across the entire site.
Construction is a unique industry in many ways, one of which being the flow of cash and accounting process for projects. Whereas many industries have straightforward transactions and payments, construction costs tend to be more complex and nuanced—which makes it more difficult to stay on top of a budget with money constantly going out and coming in.
From estimation and bidding to delays and change orders, there are many stages and factors that go into determining the cost (and profits) of a project.
How can companies know if they’re on schedule and under budget before the project closes? Work in progress is the answer.
A work in progress (or, WIP) schedule is a detailed report that shows the percentage of progress completed on a project—and takes into account any work that’s in progress in relation to budget and profitability. Below are four reasons WIP Reporting is essential on every project!
When it comes to a project’s progress, communication is critical. Without clear, real-time communication, project teams waste valuable time meeting to discuss and determine where a project stands. Progress can also be misrepresented or miscalculated, which directly impacts the budget and schedule of a project. With so many moving parts to balance, construction companies can’t afford to make mistakes due to miscommunication.
WIP reports provide accurate progress data that project teams can trust across the entire site. This reduces any subjectivity throughout the building process and gives everyone one source of truth to work from.
Many contractors choose to implement progress payments, which means the project is billed based on certain percentages of completion as they’re reached instead of waiting until the end of a job. Combine progress payments with inaccurate progress reporting, and the project can very quickly become overbilled (revenue billed exceeds the work completed) or underbilled (work completed exceeds what’s been billed).
WIP tracking provides the exact progress percentage of work completed to create a shared understanding and accountability for project costs accrued so far—and can help shed light on any discrepancies in the budget to prevent future cash-flow problems. This is especially helpful for those project managers who like to ‘guesstimate’ based on a gut feeling, then try to do the math later to even it out.
Hindsight may be 20/20, but it won’t keep your project profitable. A problem is much harder to fix after it’s already happened. While discussing what went wrong at the end may help your next project, the power to be able to notice and act in real time is invaluable. Project teams need to be able to spot potential problems as early as humanly possible to minimize the impact and keep everything on track.
That’s where work in progress tracking comes in—it’s in the name. Using technology that quantifies progress all the way down to the subcomponent level allows stakeholders to catch an issue and course correct as soon as (if not before) it happens. This prevents mistakes from becoming costly and provides insight for better business decisions in the future.
While catching issues early on is one thing, being able to predict a project’s future is another. With the right AI-powered progress tracking, companies can track project performance for deviations from plan and forecast a more accurate estimate at completion.
Knowing where your project is heading before you get there means you can plan accordingly and get ahead of costly trends. WIP tracking data gives project teams the ability to confidently manage the schedule and predict delays.
At the end of the day, work in progress reports give a true and accurate view of the financial health of a project. However, they require accurate project progress data to be effective.
Companies that leverage technology with AI-powered progress tracking can truly reap the benefits of WIP reports—and ultimately keep their projects on track and profitable.
By letting the AI automatically analyze visual data, construction companies are able to measure installed quantities and inspect quality—without having to sift through data or manually record the entire jobsite.
Construction—an industry that’s been around for nearly as long as civilization—is long overdue for a change in the tools used to build the world. While technology has become more and more common on a jobsite, most of it has been focused on taking companies from pen and paper to digital data and drawings. This is a step forward, but still requires a significant amount of manual effort and calculations to be effective. One tool alone may not completely transform an industry, but the right technology in combination could unlock the secret to more profitable and productive projects. That’s where machine learning comes in.
When you hear the term “machine learning” or “AI” (artificial intelligence), your mind probably goes straight to what you’ve seen in movies and television. While there isn’t a terminator on a jobsite (yet), construction companies are beginning to leverage an entirely new generation of technology to further reduce manual effort and increase visibility and insights.
A lot of the existing construction technology leverages visualization software to overlay captured data onto a 3D design. While this helps add an extra layer of visibility, it won’t tell you much more about true progress without someone having to look through every photo and laser scan. When given the choice, most jobsite managers would rather walk around and measure progress manually than spend even more hours doing it on the computer.
Computer vision-based progress tracking takes it one step further. By letting the AI automatically analyze visual data, construction companies are able to measure installed quantities and inspect quality—without having to sift through data or manually record the entire jobsite. What used to take someone hours is now an automated, real-time progress and quality report they can access anytime.
Imagine being able to automatically track more than 75 different construction stages and generate progress, down to the materials installed, and all it takes is a 360° camera, BIM, and AI-powered platform.
This automated progress tracking isn’t just for the project teams. Traditionally, if an owner wants a project update, they either have to physically come to the jobsite or rely on the reporting of project managers and subcontractors. This reporting takes valuable time, and is often incomplete and delayed (or missing entirely) depending on how busy the team is.
AI platforms take the burden off of project teams by enabling them to capture more detailed data, faster. Artificial intelligence can essentially act as a digital surveyor to capture hundreds of thousands of square feet on a project every week—freeing field crews up to focus on making progress, not reporting on it. Those uncomfortable OAC and weekly trade coordination meetings where progress isn’t clearly measured or communicated can quickly become a thing of the past.
Real-time project visibility allows companies to spot potential issues or overruns faster, and gives them enough time to make changes before it’s too late.
In construction, the four biggest factors to a project’s success are time, money, quality, and productivity. The right balance of these factors could mean the difference between coming in on time, under budget and losing money on a project. The increased visibility and reporting that AI-based software gives managers can directly translate to real-time feedback on schedule, budget, and quality.
Machine learning provides companies objective schedule and cost budget analysis to ensure everything is progressing to plan, and can prevent costly rework or delays. It isn’t enough to be able to see what’s happening as it happens—companies need to be able to look into the future of a project using predictive forecasts, too (another AI specialty).
Real-time feedback and insights have the power to take construction companies to a new level of project success. Machine learning isn’t about replacing people with machines. It’s about leveraging automated, artificial intelligence to increase productivity and visibility so teams can make better business decisions, faster.
Achieving success in healthcare construction projects requires a focus on transparency, risk management, and benchmarking. By leveraging near real-time data and advanced technology, stakeholders can ensure project efficiency, mitigate risks, and deliver high-quality outcomes within expected timelines.
Healthcare projects are not typical commercial construction. Aside from the complexity and cost, healthcare carries a higher level of risk and liability with patient care depending on the outcome of the project. With more at stake, accuracy and predictable outcomes are paramount to the success of the project.
At the foundation, there are three pillars to success for any healthcare project: transparency, risk management, and benchmarking.
Let’s take a look at each of these pillars—and at how automated progress tracking can help companies meet these requirements to help teams complete projects on time and under budget.
Transparency between owners, general contractors, and subcontractors is critical in hospital construction because it ensures every step of the way that the project is following the schedule, budget, and required quality standards.
Clear communication and the sharing of real-time information makes it easier to identify and resolve any issues that may arise during the construction process, which can prevent delays and cost overruns.
Additionally, proper transparency makes sure all parties are working towards the same goals and that everyone is aware of the project’s progress and any necessary changes. In the case of hospital construction, it’s important that transparency is maintained to ensure the safety and well-being of the patients, staff, and visitors—both during construction and after it’s completed.
How can construction companies improve transparency among all stakeholders? Here are five processes that can help.
Due to the costs and complexity of healthcare projects, it is crucial to mitigate risk to ensure safety, quality, and compliance. Risk is inevitable in construction, but there are steps you can take to reduce and ensure better outcomes for your projects.
By following these steps, healthcare construction projects can manage risk and improve outcomes. Even better, there’s technology that alleviates the manual component to many (if not all) of the steps needed to mitigate risk.
By pairing 360-degree video capture with AI-powered progress tracking, teams are able to objectively measure progress of work in place with every data capture, every week. This provides healthcare construction projects with real-time information on the progress and quality of what’s been completed.
Automated progress tracking is the best way to bridge everything together to keep project teams on the same page and catch potential issues faster with enough time to fix them—ultimately preventing delays and unnecessary overruns. This greater degree of transparency and accountability helps to ensure that all parties are meeting their obligations and building to the required standard of the project.
Benchmarking in healthcare construction provides a way to measure and compare the performance of different projects. Leveraging benchmarks helps to identify best practices and areas for improvement, which can be used to set goals and targets for future projects. Benchmarking can also reveal trends and patterns across projects to identify any potential risks and opportunities earlier on.
Healthcare construction benchmarking can inform decision making and contribute to the success or failure of a project. For benchmarking to be most impactful, project progress should be collected in a standardized and repeatable way. Implementing an automated way to analyze project progress in real time helps save time and ensure meaningful insights—ultimately leading to more predictable outcomes, as well as improved quality, cost, and schedule performance.
Automated progress tracking works to streamline the three pillars for project success by providing objective information and greater visibility into the project’s progress. Between project teams and stakeholders, everyone is able to be more closely involved to make more informed decisions faster.
With all parties working towards the same goals, everyone is aware of the objective progress metrics as well as any changes needed. With the right solution in place, teams can increase efficiency, decrease risk, and save valuable time and resources.
Not sure where to get started? Click here to learn more about Doxel’s digital surveyor and analytic tools for healthcare construction today.
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Doxel is excited to be a sponsor at DCAC Live Sept 24-25, 2024 in Austin, Texas.
Doxel is excited to be a sponsor at DCAC Live 2024 in Austin, Texas, making your registration process a breeze and adding some fun perks along the way! This premier event brings together top professionals from the data center industry, and Doxel is thrilled to be part of it.
As you gear up for the event, Doxel’s team will be at the registration booth, ready to greet attendees and hand out exclusive goodies. Be one of the first 50 people to register, and you’ll receive a sleek Doxel tumbler — the perfect companion for staying hydrated during the event.
Keep an eye out for the badges, which have an updated design and look better than ever!
Once you’ve picked up your lanyard and tumbler, head to Table 15, where the Doxel team will be stationed throughout the event. There, you can learn how Doxel leverages AI and computer vision to deliver frequent, precise, and actionable insights. Doxel accelerates construction by automating progress reporting, identifying hidden issues early, preventing rework, and improving collaboration through the use of visual data.
DCAC Live in Austin, Texas, is the go-to event for the latest insights and innovations in the data center industry. For those involved in data center construction, Doxel is revolutionizing project delivery by combining AI and computer vision to drive real-time project visibility, ensure schedule certainty, and eliminate costly rework. With Doxel, data center projects are completed faster, with better quality control and up to a significant boost in productivity.
Attending DCAC Live lets you learn how Doxel’s cutting-edge technology can streamline your data center construction projects, helping you stay on time and within budget.
Be sure to stop by the registration booth early to snag your Doxel tumbler, and join us at Table 15 for insights on how we’re making an impact. We can’t wait to see you at DCAC Live!
