In the ever-evolving landscape of scientific research and experimentation, the advent of the Artificial Platform is nothing short of a game-changer. This cutting-edge approach to laboratory management, which combines automation equipment, digitized SOPs, cloud-based data collection and analytics, and state-of-the-art technology, is revolutionizing the way scientists, operators, automation engineers, and data scientists work in the lab. The advantages are many, leading to improved productivity, reduced error rates, and significant cost savings. Let's dive into the benefits of using Artificial.
- Increased Productivity for Scientists:
For scientists, time is a precious resource, and by automating routine tasks and data entry processes, scientists can focus more on the actual research and experimentation. Artificial customers have reported that once Artificial was deployed their scientists save an average of 45 minutes per day by avoiding manual (and error-prone) data entry into their LIMS. This newfound time is now freed up to be dedicated to deeper analysis, innovative thinking, and refining experimental methodologies.
- Faster Training and Consistency for Operators:
Operator turnover is a significant issue in many labs. High turnover rates make operator training an important barrier to productivity in the lab and require reducing the learning curve for laboratory operators. Artificial’s digitized SOPs, Assistants, make it easier for operators to familiarize themselves with all the equipment and processes. Assistants present a single user interface on either an iPad or computer that enables users to interact with all of the automated equipment. As operators use the Assistants, important data, such as lot numbers, is automatically collected, ensuring a complete data record. This, in turn, allows laboratories to onboard new staff more quickly, ensuring a seamless transition and minimal disruption in the inevitable case of personnel changes.
- Enhanced Efficiency for Automation Engineers:
Automation engineers play a pivotal role in maintaining and optimizing laboratory equipment and systems. With remote monitoring and control systems, these engineers can support multiple laboratories simultaneously. When using Artificial, Automation Engineers utilize modern no-code and low-code tools to easily and quickly make adjustments to the systems and workflows. These tools enable automation engineers to make more adjustments and improvements, leading to smoother operations and quicker resolution of issues in the lab.
- Unlocking Insights for Data Scientists:
Data scientists' efficiency is greatly enhanced when they access clean, well-organized, and context-rich data about each job run in the lab. Artificial helps to automatically collect a complete data record for each job. The automation processes ensure that data is consistently collected and labeled, reducing the time data scientists spend on data wrangling and preparation. This translates to more time for meaningful analysis and insights, resulting in more robust scientific discoveries. Data Scientists can save hours per day when Artificial is providing clean and contextualized data records as inputs to the models.
- Reduced Error Rates:
One of the most significant advantages of a digital and connected lab is the marked reduction in human error rates. Using Artificial, digital SOPs via Assistants ensures that each manual step in a workflow is well understood and easily followed. The data integrations reduce the likelihood of manual data entry errors. This, in turn, leads to more reliable and reproducible results. It also helps to avoid the need to re-run experiments due to human errors, resulting in significant time and cost savings.
- Cost Savings:
Lowering error rates, improving worker productivity, and optimizing processes directly impact the financial aspect of laboratory work. Reductions in error rates translate to significant savings on experimental runs. Additionally, the streamlined workflow and increased productivity lead to cost savings in labor and resource utilization.
In summary, the benefits of digitizing and connecting a lab are nothing short of transformative. Scientists, operators, automation engineers, and data scientists all experience improved efficiency, which not only accelerates the pace of research but also results in substantial cost savings. Reducing human error rates ensures the integrity of research findings and enhances the credibility of scientific work. The Artificial Platform is a prime example of how digitizing the lab can empower scientists and improve the quality and pace of scientific discovery. Embracing the digital journey is not just a choice but a necessity for laboratories aiming to remain at the forefront of research and development.
At Artificial, we are helping to transform the life sciences space by helping our customers convert their existing labs into digital and connected labs (as well as design new labs from the ground up).
Contact us today to learn how we can help!