With over 18+ years of experience, Himanshu currently is managing 170+ consultants and engineers in the area of Digital Strategy, Technology Strategy, and Cloud consulting.

As a seasoned consultant, Himanshu has advised many clients across the globe on IT Strategy, Digital Strategy, IT Operating Model, Cloud Strategy, Cloud adoption, and business and technology transformation.

He has also set up this team from the ground up and is experienced in incubating multiple service offerings under consulting business unit.

Data Science professional with 17 years of experience. Works on Data Science/Machine Learning using Python/R.

Neural networks, particularly deep learning models, are often referred to as "black boxes" because, although they can produce highly accurate predictions or classifications, understanding how they arrive at these decisions is not always straightforward. However, for users to trust and rely on AI systems, especially in critical areas like healthcare or autonomous driving, they need to understand why the system makes certain decisions. “Cracking Open the Black Box of Neural Networks" is a significant push within the AI and ML to make neural networks more interpretable and understandable. The session delves into the importance, challenges, and techniques in interpreting neural networks while highlighting the ethical and regulatory considerations tied to this quest for clarity.

I am a senior lead quantitative analytics specialist at Wells Fargo, with two decades of proficiency in data science and artificial intelligence. I hold three certifications from Microsoft and LinkedIn in Azure AI Fundamentals, AI-First Product Leadership, and Artificial Intelligence for Business Leaders.

My core competencies include developing and validating AI/ML models, managing projects and teams, and delivering solutions for various business domains, such as cybersecurity, asset liability, credit risk, deposit valuation, balance sheet forecasting, and fraud detection. I have successfully applied statistical and machine learning algorithms to solve complex problems, generate insights, and drive value for clients and stakeholders. I am passionate about leveraging data and technology to create innovative and impactful products and services.

Over 12+ years of expertise in Supply chain Management and Product Life cycle Management of Automative, Heavy Engineering, Earth Moving equipments, Electronics and computers industries.

Generative AI is primarily used for retrieving and understanding data, and it assists in coding, marketing, and copywriting. However, its capabilities extend beyond just creating and analyzing data. The true value of AI is realized through its interaction with enterprise applications and data.

Tejus Venkatesh will introduce a new open source framework that facilitates the integration of AI into enterprise systems, allowing it to not only provide instructions but also perform tasks for users.

This topic is burning need of the business , we have plenty of people to develop the mode but how can we put in production.

With over 15 years of experience in data science, analytics, and research, I am the Associate Director of the artificial intelligence and machine learning (AI and ML) practice at EY. I have a strong background in mathematics, statistics, and computer applications, with an M Tech degree and certifications in SAS, R, and Python.

Dr. Savitha C a PhD in AI & Data Analytics with over 14 years of diverse experience. She excels in leading and mentoring large AI and Data Science teams, specializing in text and Numeric data solutions employing advanced algorithms. Her deep knowledge of AI Regulatory Frameworks is a significant asset.She is known for her pragmatic approach in implementing solutions for both government research centers and IT companies, backed by her impressive track record of 11 publications in esteemed journals and conferences. She actively engages as a guest speaker and faculty development programs and also contributes to social development activities. Currently, she plays a pivotal role in collaborating with architecture and infrastructure teams to establish compliant build and deploy pipelines for AI and analytic workloads. With a strong focus on Apple account projects, she has a wealth of experience in expanding and managing AI and Data Science teams at scale. Her ability to create proof of concepts and deliver customer solutions that seamlessly transition into larger projects sets her apart in the field

Prof S Chandrasekhar is Senior Prof – Digital Business & Analytics Analytic at Jagsom Business School B “Lore since Nov 2013

The same education Group has started a university by name VijayBhoomi University Greater Mumbai. He also holds the position of Advisor & Professor School of Science and Technology since June 2023.

Apart from that he is in the Academic committee of well-known Management Institutes like BIM NIMIS RVS Group Coimbatore etc. ..

He has a total of about Fifty Years of experience in Corporate, Research and Academics.

Published extensively in National & International Journals , guided students in master’s & doctoral level.