Key takeaways from your session: Learn how chatbots & virtual agents have been evolving with technology innovations in AI. See a demo of how a genAI-powered chatbot can redefine customer experience for a NeoBank

Seema heads Cloud Customer Engineering at Google, for Fintech & Digital Natives. She has been helping these segments leverage industry-leading Data, Analytics & AI capabilities on the cloud, to innovate at scale. Developing recommendation engines, vernacular voice bots & scalable data platforms for 200+ million users, the work she leads at Google truly exemplifies cutting-edge yet locally relevant innovation at scale. Passionate about her specialty areas of Data, Analytics & AI, she has been working in this field for 18+ years, in the US, Australia, South Africa & India markets, developing transformative technology solutions for Banking, Mining, Manufacturing, Retail and Healthcare. Seema previously led the APAC charter for Data & AI at Accenture, where she setup the Global Data/Analytics Strategy Consulting capability in India from ground zero and scaled it. She has also led Data Analytics Solutioning at Dell & was the co-founder of a successful analytics start-up that was acquired by a firm that subsequently went public. A strong advocate of Women in Tech, Seema serves on the DEI Council for Google Cloud, India. An engineer in Computer Science and MBA from SP Jain, Mumbai, Seema holds several professional certifications in Data Analytics & Cloud, including a certification in Machine Learning from the University of Washington & an executive certification in Leadership from the Indian School of Business.

Create a custom chat-based solution to query and summarize your data within your network using Dolly 2.0.
In this session, you will learn about Dolly 2.0, Databricks, state-of-the-art, open source, LLM, available for commercial.
You will learn how to deploy and customize models to reference your data and additional fine tuning techniques…all using open-source components available today.

Abishek Subramanian is a seasoned IT professional with over 15 years of experience. He excels in DevOps, Cloud, Databricks, Machine Learning, and Infrastructure Architecture. Abishek is known for his proactive approach, technical prowess, and a passion for continuous learning. He takes ownership of challenging tasks and consistently delivers results. Abishek Subramanian is a driving force in the ever-evolving IT landscape

More than 17+ years of IT Experience with good analytical, technical, and troubleshooting skills.

Extensive hands-on and in-depth experience in the DevOps, Cloud, Big Data, Machine Learning and Infrastructure Architect, Automation and Continuous Integration and deployment.

I am a highly self-motivated, proactive and result oriented individual who takes charge and ownership of challenging tasks and continuous learner

How to select proper Recurrent Neural Network Configuration for a problem
Outlier detection using sophisticated techniques like Isolation Forest
Advantages of combining Convolution with recurrent neural network
Feature Importance using Shapely Values & Explainable AI
Benefits of these advanced forecasting techniques compared to classical forecasting methods.

Prof S Chandrasekhar Senior Prof - Business Analytic at IFIM Business School B “Lore since Nov 2013.He has a total of about Fifty Years of experience in Corporate, Research and Academics. Worked at reputed organizations like Tata Institute of fundamental Research, ISRO, NRSA Hyderabad, Indian Institute of Management Lucknow, Fore School of Management at senior level. Held many Academic administrative positions like Chairman Admissions, Chainman MDP , Member Secretary to IIM Board. He worked as visiting Professor at Manchester Business School, U.K. for about a year.

Key takeaways from your session: Importance of connectionist-symbolic methods. The need for integrating learning with deductive reasoning in models.

Ravindranath is a Business Manager cum Data Scientist working with IBM since 2016. He is playing a key role in delivering large-scale ML projects. He is a Masters holder from ISI.

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.

Experienced Artificial Intelligence Engineer with a demonstrated history of working in the automotive industry. Skilled in Machine learning, Neural Network, Deep learning, NLP, Database, Python, Java and Various front end technologies.

Key takeaways from your session:
How is banking making AI central to their market offers and operations. How is AI impacting the market structure, cost curves, supply and demand for banking products and making banks more resilient in times of inflation, high costs and market volatility.

Kovid Bhardwaj has close to 17 years of global experience working in investment banking and consulting in mergers and acquisitions, corporate finance, derivatives pricing and valuations, credit and market risk, operations, accounting and regulatory topics. He is an expert in leveraging strategic studies, digital approaches, artificial intelligence, statistics and machine learning to derive key actionable business insights, help transform business models and remodel processes. Currently he is working with Ernst and Young in their strategy and transactions practice focussed on mergers and acquisitions and corporate finance. In his prior role he was the global chair for machine learning for risk and finance in-charge of evaluation, execution and providing guidance on methodologies and implementations for strategic transformational projects. His areas of interest are leveraging ML to solve interesting problems in corporate finance and investment banking. He is passionate about data. Kovid is a CFA charterholder from CFA Institute, USA and MBA from Indian Institute of Management, Lucknow.

Key takeaways from your session: A brief understanding of the swarm learning product and its use cases.

Experienced in Data Science and Microsoft Web technologies. Proficient in Machine Learning, Natural Language Processing, Deep Learning, Reinforcement Learning and Graphical Models. Technical savvy, effective team player who continuously seeks opportunities to master technologies for serving the organization with the skills I bestow.

"Explainability" and "Human in the Loop" are two important concepts in the context of Generative Artificial Intelligence (Gen AI) and other machine learning and artificial intelligence systems. Together, explainability and the Human in the Loop approach empower Gen AI to produce more interpretable and reliable results while benefiting from continuous human oversight and guidance.

Recognized as one of the distinguished "Top 10 Data Scientists in India - 2017" by Analytics India Magazine. Pioneered and currently engaged in the development of innovative solutions encompassing Generative AI, Healthcare Content Intelligence, and Cognitive Digitization. Expertise lies in a diverse range of cutting-edge technologies, including Large Language Models, Natural Language Processing, Computer Vision, Machine Learning, Neural Networks, Graph Analytics, Geophysical Modeling, and Robotics. Accumulated over 15 years of extensive industry experience across sectors such as Healthcare, Banking & Insurance, Automotive, Manufacturing, Winery, Education/Learning, Paints/Chemicals, Social Media, and Disaster/Hazard Management. Notable accomplishments include Advanced Code Assistant using GenAI, Healthcare Content Intelligence, Benefits Reasoning, Cognitive Digitization, Cognitive Car Damage Assessment tool, quantification of wine brand popularity through social media image analysis, video chunking and tagging, as well as Robotic presentation and path planning.

Area: Autonomous Driving, Smart IoT , Edge Computing, Cloud.
Key Skills: Computer Vision.Edge inferencing, Cloud, OpenCV, Numpy, Python , TensorFlow, Onnx, SKLearn, Keras, performance

Subarna, a PhD in Applications of Econometrics and Game Theory. Currently she holds the position of Group-manager in the data-science division of IBM leading solutioning and delivery in areas of machine-learning( using spark-scala) and deep-learning. As a senior managing consultant in IBM she is instrumental in winning deals in advanced analytics space. She has over 14 years of experience in leading the design and execution of analytical solutions in various domains, e.g. Banking, retail, CPG, utility, manufacturing, etc. She has previously worked in companies like TCS, HSBC and ANZ

Network congestion is one of the major concerns for telecom companies today. With the data usage growing exponentially, maintaining a threshold throughput is a concern. Moreover, with a lean set of support staff addressing these issues creates significant amount of downtime, hence offending the customers. Telecom companies are leveraging Machine Learning & AI to address the network related issues proactively.

Sumanta has already spent over 20 years in various organizations in the field of Statistics \ Analytics \ Data Science after completing his M.Tech. in 2003 from Indian Statistical Institute, Kolkata. He has extensively worked in the field of Customer Analytics, Forecasting, Econometric Modeling in the Telecom, Public, CPG & Utility Sectors. He has worked in organizations like GE Money, SAS India, Idea Cellular before workin with IBM for last 8 years.