Siemens Transform Innovation Day - Episode 1

Good morning and welcome to the fifth Innovation Day of Siemens. I am delighted to see familiar faces and welcome first-timers. In the last 10 years, India has electrified more than the entire network of Germany. India is the second largest producer of steel and cement, third largest pharma producer. Digital leadership: 1.1 billion mobile users, 954 million internet users, lowest data cost, 17 billion payment transactions in October (50% of global). Government has spent $400 billion on infrastructure in last 4 years. To sustain 7.5% growth, energy transition is critical: from 200 GW renewables to 500 GW by 2030, 600 by 2032, requiring doubling of transmission and distribution. Technology is the key enabler. What if we can standardize food and beverage production? For dairy, we used Industrial Operations X to simulate milk powder production with a digital twin, reducing energy by over 10% and improving throughput by 10%. What about data centers? 40% of energy is cooling. In Estonia, we built a digital twin of a data center to optimize cooling and reuse excess heat. By asking 'what if', we can turn complex challenges into manageable tasks. Technology is not the difference; people using technology are. At our Kalwa factory near Mumbai, using our own technologies, we increased output by 35% from 1.1 to 1.5 million pieces per year, transformed from 22 variants on three lines to over 350 variants on one line, reduced cycle time from 21 to 9 seconds, measured 68 quality parameters in 9 seconds, saved 400 MWh of energy, reducing carbon footprint. In digital transformation, we simulated the entire line digitally, built it with zero manufacturing defects, completed three months ahead of schedule, and reduced cost by 12%. Last year, energy consumption grew while our specific energy consumption per device decreased by 20% (actual energy reduction 12%, specific 40%). We plan to extend this to the wider ecosystem. Industry is a major driver of GDP and well-being. The biggest driver for getting faster in industry is moving at the speed of software through digitalization. Digital twins allow simulation and optimization much faster. We use distributed and federated learning to share models without sharing data, synthetic data from physics-based models, reinforcement learning for sorting, and physics-based AI surrogate models for computational fluid dynamics to get results in seconds. We also have a robot picker pre-trained on over 200 models using synthetic data in the metaverse. I hope you will contribute to the digital challenge and benefit from it. Thank you.