Challenges with AI & ML Technology DEC
18 Monday, 6:00 pm - 7:15 pm 2023
ONLINE EVENT
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Mr PRANJAL PATHAK
Mr N BALAJI
Synopsis The rapid advancement of Artificial Intelligence (AI) and Machine Learning (ML) technologies has brought about numerous opportunities, but it also poses significant challenges. One major concern is the ethical implications surrounding AI, particularly in the areas of bias and fairness. Machine learning models trained on biased data can perpetuate and even exacerbate societal inequalities. Additionally, the lack of transparency in complex algorithms raises questions about accountability and the ability to understand and interpret AI-driven decisions. Another challenge lies in the scarcity of skilled professionals capable of developing, implementing, and maintaining these sophisticated technologies. The rapid pace of technological evolution often outpaces the education and training programs available, creating a talent gap. Furthermore, the security of AI systems is a growing concern, as these technologies become more integrated into critical infrastructure and decisionmaking processes. Ensuring the robustness and resilience of AI and ML systems against adversarial attacks is a key challenge. As these technologies continue to shape various aspects of society, addressing these challenges is crucial to harnessing the full potential of AI and ML while minimizing their potential risks.
Programme 5:45 PM
Log in by the participants
6:00 PM
Welcome Address Gp Capt R Vijayakumar (Retd), VSM Executive Director Madras Management Association Introductory Remarks Mr A K Mathur Vice President Lucknow Management Association Opening Remarks Mr N Balaji Partner - Technology Consulting & Analytics Ernst & Young, LLP Address by the Speaker Mr Pranjal Pathak CEO, Gen-Z Marketing In conversation with Mr N Balaji Q&A
7:15 PM
Vote of Thanks
Profile
Mr Pranjal Pathak CEO, Gen-Z Marketing
Pranjal Pathak is a 1996 graduate of electrical engineering from IIT Kanpur. He has a Master of Science from the department of Electrical Engineering and Applied Physics at Case Western Reserve University in Cleveland, USA. He is also an alum of the Indian School of Business, ISB Hyderabad where he specialized in Marketing and Finance where subsequently he attended Qinghua University's School of Economics and Management at Beijing. He has worked and studied in technology companies and startups in the US, UK, China and India and currently works on the impact of information and technology on behaviour for which he draws on his experience in addressing challenges linked to marketing, communications, leadership, and technology in multiple cultural environments.
Profile
Mr N Balaji Partner - Technology Consulting Analytics, Ernst & Young, LLP Mr N Balaji is the Leader of Analytics CoE India across all service lines. He successfully built the Analytics Centre of Excellence (CoE) for client delivery across all Service lines in EY. This involves solution development and embedding analytics into the solution offerings of EY to bring in efficiencies into delivery. He built the analytics practice with strong capabilities and credentials at all stages of analytics maturity model and a very strong leadership bench. Analytics practice for the Global Delivery Center for EY, with a growth of more than 100% YoY. This involved building a strong People, Process and Technology Framework for Global Delivery. Also involved in new solution development and sales support for theon-shore teams. He is responsible for a Book of Business for key solutions in the area of Data Management, Social Media Analytics, Business Intelligence, Big Data Analytics and Machine Learning & Artificial Intelligence solutions. He led several large projects within India and overseas and managed a team close to 150 across different offices in India. He achieved a growth of more than 100% for GDC and attained the distinction of being one of the highest Gross Margin businesses, which was achieved through effective amalgamation of better leverage, higher utilization, technology enablement and quality delivery. He played a pivotal role to build the largest analytics team. He developed an efficient people model including the Competency model, Career progression and Measurement criteria with one of the lowest attrition rates in the industry. He structured the organizational vision to implement strategic growth initiatives for Analytics Practice with the goal to achieve the objectives set by the management. He analyse market trends and customer requisitions to prepare the roadmap for achieving growth within the market across service lines. He coordinate with the internal teams to develop and launch new products and solutions to en-cash on the untapped opportunities available in the market.
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