Akshita has 13+ years of performance-focused experience in E2E solutions for Data Science, Advanced Analytics, Deep Learning & Machine Learning, MLOPS on Cloud and On-Prem across Telecom, Banking, Mortgage domains. She holds project experience across the areas of Customer-XP, Sales, Customer Segmentation, Propensity Score, Loyalty, Times Series Forecasting, etc. She has worked across different phases of development right from designing model architecture, data pipeline development, API development for model interaction, deployment of data science solution to variety of platforms, clouds and CRM applications (web, mobile application etc.) to form a technology roadmap. As part of the Data science Centre of Excellence, she mentors fellow data scientists to develop in house accelerators and delivered client projects following Agile methodology (Certified SAFe Agilist). She holds competency in big data, data science and machine learning applications on cloud & services, Docker, Kubernetes, ML, Python.
Gen AI is no longer a futuristic ambition - it’s a live experiment inside most marketing teams. But turning that experiment into a repeatable, scalable practice requires more than enthusiasm. This session dives into the real decision-making behind Gen AI integration: which use cases to prioritise, how to operationalise them, and how to build the infrastructure, teams, and trust needed to deliver long-term impact, whilst avoiding the common pitfalls that stall progress.
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Check out the incredible speaker line-up to see who will be joining Akshita.
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