Recent advancements in software-defined systems are reshaping traditional models by shifting towards open, software-centric methodologies. This evolution allows businesses to decouple hardware from software, enabling greater choice and flexibility. Enterprises in many industries are moving towards software-defined products, integrating new workflows into their development processes.

MathWorks hosted a discussion on software-defined systems with a focus on electrification innovation. Bringing together panelists from large corporations and small startups, the group covered topics ranging from AI to cybersecurity. Below, we highlight some of the key takeaways from the discussion:

• Quantum Computing and Hybrid Systems: Quantum-inspired optimization approaches have significant potential to address the growing complexity of power grids. Hybrid systems, which utilize quantum algorithms on classical hardware, offer innovative solutions for efficient and effective grid management when combined with AI.
• Optimizing Renewable Integration with AI: There is a strategic shift towards replacing natural gas with renewable energy, and with this, there is a need for AI-based algorithms to manage market variability and optimize transmission and distribution energy systems. By leveraging AI, companies can design systems that maximize cost savings and emissions reductions. These companies need robust software solutions integrated with hardware for enhanced functionality in energy markets.
• Enhancing Human-Machine Interaction: Integrating advanced software and AI in manufacturing is challenging and highlights the disparity between cutting-edge and outdated systems and the need for cultural change to embrace Industry 4.0. The use of AI is facilitating more efficient and reliable automation tools, addressing the shortage of skilled technicians by creating user-friendly interfaces with AI assistance to help operators manage complex machinery.
• Adapting to Evolving Security Needs: Cybersecurity is fundamental in designing and operating power systems. Rapid system updates, made possible by software-defined systems, are important in maintaining security. However, there is a constant need to balance vulnerability mitigation with system performance, and the inherent potential exists for imperfections with software bugs. Companies must closely monitor the use of LLMs to safeguard confidential customer data while deploying AI technologies to improve customer experiences.

Want to hear more insights? Watch the full roundtable below and learn more about MathWorks Startup Program here.

A special thanks to our panelists:

• Brooks-Zak, Co-Founder of Outlier Automation LLC
• Marouane Salhi, Ph.D., Computational Physicist, CEO & Co-founder of Qubit Engineering
• John Restrepo, CTO, Co-Founder of NOC Energy
• Richard Kephart, Vice President of Technology for the Power and Water Industries, Emerson
• Steffen Ziegler, Lead Engineer in Advanced Forecasting and Modeling, Eversource Energy
• Chengli He, Ph.D., Senior Industrial Automation & Machinery Industry Manager, MathWorks