As the field of Artificial Intelligence (AI) continues to evolve, one of the most transformative sectors benefiting from its advancements is healthcare. Botlagunta Preethish Nandan, with his expertise in SAP Delivery Analytics at ASML, Wilton, CT, USA, is at the forefront of this revolution.
With a strong research interest in AI healthcare, Nandan’s work is not only redefining the landscape of AI but also ensuring its powerful impact on the healthcare industry. His focus on integrating AI with healthcare systems aims to enhance efficiency, accuracy, and patient care, promising a brighter, more advanced future for medical technologies. In this edition of Insiders Views— AI Leaders Redefining Success—we dive into Nandan’s contributions, his innovative vision, and the remarkable strides he is making in AI-driven healthcare solutions.
Beginning of My Career Journey
“My professional journey began over 14 years ago, fueled by a deep passion for technology, data, and solving complex business challenges. I started as a Functional Consultant in ERP implementation at Quadra Software Solutions, where I quickly recognized the transformative power of data in driving business outcomes. This early experience sparked my desire to dive deeper into technology and data-driven solutions.
As I progressed, I immersed myself in ERP, data modeling, and business processes. My thirst for knowledge led me to CEM Business Solutions, where I received training on Microsoft Dynamics AX 2012. This exposure to end-to-end ERP solutions strengthened my ability to collaborate with business stakeholders and address real-world operational challenges effectively.
In 2012, I made a pivotal move to Collins Aerospace, where I spent over a decade mastering Business Intelligence (BI) and Analytics. It was at Collins where I first explored Machine Learning (ML) and its vast potential applications within the manufacturing domain. Over the past six years, I have focused extensively on leveraging ML techniques to enhance operational efficiency, optimize production cycles, and enable smart manufacturing.
Today, I serve as IT Solution Delivery Analytics at ASML, a global leader in semiconductor manufacturing equipment. I continue to channel my passion for data, ML, and advanced analytics to revolutionize manufacturing processes and contribute to the future of technology.” Botlagunta Preethish Nandan
Key Offerings of ASML
“ASML is a global leader in semiconductor manufacturing technology, renowned for its cutting-edge lithography machines that are pivotal in the production of chips. These machines enable the next generation of electronics, from smartphones to advanced computing systems. ASML’s innovations in the semiconductor industry are at the heart of enabling technological advancements across various sectors.
Beyond its hardware offerings, ASML is deeply invested in digital transformation and smart factory initiatives. In my role, I am involved in the development of advanced analytics platforms powered by SAP HANA, BW4/HANA, and Machine Learning (ML) models, all tailored for manufacturing excellence. This transformation is key to maintaining ASML’s position at the forefront of the industry.
A major focus is the integration of sensor data across manufacturing equipment. With sensors embedded in machines, real-time operational data is collected — from temperature, pressure, and vibration to machine-specific metrics. This data plays a pivotal role in our ability to:
- Proactively monitor equipment health.
- Predict failures before they happen, preventing downtime.
- Optimize cycle times and reduce energy consumption.
- Ensure material traceability throughout the entire production process.
By leveraging SAP Native HANA and advanced ML models to process this sensor data, we are empowering data-driven decisions directly on the shop floor. This approach is crucial in semiconductor manufacturing, where precision, quality, and efficiency are paramount. The integration of real-time data and advanced analytics is key to enabling higher levels of manufacturing excellence at ASML.” Botlagunta Preethish Nandan
Long-Term Goals and Vision
“Looking ahead, my long-term vision is to be at the forefront of AI and ML-driven smart manufacturing within the semiconductor industry. I aim to build intelligent platforms that enable real-time predictions, automate decision-making processes, and drive Industry 4.0 initiatives on a global scale. Specifically, I see a future where manufacturing ecosystems function as self-learning systems. These systems, powered by advanced ML models analyzing sensor data, machine behavior, and production workflows, will enable near-zero downtime and optimal efficiency across production lines.
In the coming years, I see myself leading strategic AI initiatives and driving innovation in smart factories. Additionally, I am eager to mentor and guide emerging talents in the manufacturing and data science fields, helping to shape the future of intelligent manufacturing and contribute to advancements that will define the next generation of industrial technology.” Botlagunta Preethish Nandan
Most Significant Sources of Inspiration
“Throughout my career, I’ve drawn inspiration from several remarkable leaders whose vision and leadership have deeply influenced my professional journey. During my time at Collins Aerospace, I was particularly inspired by Kelly Ortberg, the former CEO, whose focus on innovation and operational excellence has left a lasting imprint on my approach to business and technology.
Currently, at ASML, I am inspired by Peter Wennink, the CEO of ASML. His visionary leadership has been instrumental in positioning ASML as a global leader in semiconductor manufacturing technology. I also greatly respect Martin van den Brink, the President and CTO of ASML. His technical expertise and unwavering commitment to precision engineering continually motivate me to push the boundaries in the field of manufacturing analytics.
These leaders embody key qualities of innovation, resilience, and a customer-centric approach — values that I strive to integrate into my own work every day, driving me to excel and inspire those around me.” Botlagunta Preethish Nandan
Achievements & Recognitions
Botlagunta Preethish Nandan has earned numerous recognitions throughout his professional journey in the manufacturing industry, underscoring his expertise in analytics and smart manufacturing. His contributions have played a pivotal role in advancing operational efficiency and driving cost savings.
One of his significant accomplishments was the design and development of a Cycle Time Model for ASML’s manufacturing process. This model optimized production steps across machines, leading to an impressive cost saving of over $560,000. In addition to this, he developed a Disturbance Notification (DN) model that enhances real-time issue detection during machine building, which in turn has improved response times and operational transparency.
Preethish’s contributions extend to workforce optimization, as he created an Earned Hours Report that tracks technician hours with precision, enabling significant productivity improvements. He also played a key role in the development of Quality Management analytics solutions that track material inspections and document traceability, further enhancing operational quality.
His technical expertise is also reflected in the delivery of advanced SAP Analytics Cloud (SAC) dashboards, which provide real-time visualization of key manufacturing performance indicators. Furthermore, his integration of Machine Learning models on sensor data has paved the way for early-stage pilots in predictive maintenance, setting the foundation for data-driven maintenance strategies.
These achievements highlight Preethish Nandan’s commitment to driving tangible business value through innovative analytics and manufacturing technologies.
Overcoming Challenges
Botlagunta Preethish Nandan has encountered several challenging obstacles throughout his career, each of which has contributed to his growth and learning. One of the most significant hurdles he faced was integrating Machine Learning (ML) solutions into traditional manufacturing setups.
In these environments, legacy systems, fragmented data, and resistance to change posed considerable challenges. Convincing stakeholders of the value of ML on sensor data was particularly difficult, especially in settings where decisions had traditionally been made manually. This required not only technical expertise but also a profound understanding of the business pain points to effectively communicate the long-term benefits.
Another major challenge was aligning Information Technology (IT) capabilities with Operational Technology (OT) on the shop floor. The gap between these two domains often hindered the seamless flow of data and information across systems. Overcoming this obstacle required fostering cross-functional collaboration, designing scalable data models, and ensuring the secure, real-time transfer of data from sensors to machines and analytics platforms.
Despite these challenges, Preethish views them as invaluable learning experiences. They taught him the importance of stakeholder engagement, the flexibility of agile development, and the necessity of building trust across multidisciplinary teams. These lessons have played a crucial role in shaping his ability to deliver innovative solutions in complex environments.
Vision for the Future
Botlagunta Preethish Nandan envisions a future where technology and human ingenuity come together to revolutionize the manufacturing landscape. Reflecting on his professional journey, he remains deeply appreciative of the mentors, opportunities, and challenges that have shaped his career and cultivated his passion for innovation. His mission is clear: to continue harnessing the power of technology, data, and machine learning to transform the way manufacturing operates.
Aligned with ASML’s relentless pursuit of innovation, Preethish is committed to driving the next generation of smart manufacturing solutions. He sees immense potential in the convergence of artificial intelligence, sensor data, and advanced analytics — a synergy that he believes will usher in a new industrial era marked by unprecedented efficiency, precision, and sustainability.
Looking ahead, he is excited about a world where machines communicate seamlessly through data, decisions are driven by deep intelligence, and products reflect the brilliance of human creativity amplified by technology. His forward-looking vision speaks to a broader goal: not just to improve manufacturing processes, but to create meaningful societal impact through innovation and purposeful digital transformation.
