Exploring the transformative impact of generative AI in manufacturing
Optimize design, supplier management, and productivity in manufacturing through generative AI. Get expert insights in our comprehensive white paper. Explore now
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Naresh has over 8 years of development experience in the relatively nascent field of Deep Learning. He has worked with different types of solutions in the Deep Learning space from the days prior to Tensorflow and Pytorch where he used to build Deep Learning models on top of Theano/Caffe as frameworks. He is currently focused on nimble, agile solutions to accelerate value recognition of Generative AI solutions at Grid Dynamics. He has a Bachelor's in Electrical Engineering, BITS-Hyderabad, and a Master's in Business Analytics and Big Data, IE Business School. He has previously worked with different companies across fields like P&G, GE Healthcare, and his own startup, Untangle AI in the Explainable AI Space.
Naresh has over 8 years of development experience in the relatively nascent field of Deep Learning. He has worked with different types of solutions in the Deep Learning space from the days prior to Tensorflow and Pytorch where he used to build Deep Learning models on top of Theano/Caffe as frameworks. He is currently focused on nimble, agile solutions to accelerate value recognition of Generative AI solutions at Grid Dynamics. He has a Bachelor's in Electrical Engineering, BITS-Hyderabad, and a Master's in Business Analytics and Big Data, IE Business School. He has previously worked with different companies across fields like P&G, GE Healthcare, and his own startup, Untangle AI in the Explainable AI Space.
Optimize design, supplier management, and productivity in manufacturing through generative AI. Get expert insights in our comprehensive white paper. Explore now
Generative AI, fueled by advanced unsupervised learning techniques, is revolutionizing businesses across various domains. As generative AI continues to evolve, it is vital to delve deeper into its core techniques and how they can be leveraged to address unique business challenges. In this white paper, we aim to bridge the gap between the knowledge and application
The pharma and life sciences industry is experiencing a data revolution. As everything becomes more digital, the amount of biomedical data is exploding. This presents an opportunity to tap into valuable insights to advance R&D, manufacturing, marketing, and more. However, companies struggle to effectively analyze all this data. Generative AI is the solution. Unlike analytical