Abstract:
As organizations grapple with an unprecedented influx of data, the need for effective strategies to harness insights from Big Data has become critical. This talk introduces a comprehensive approach to navigating the Big Data landscape by integrating advanced predictive analytics techniques. The proposed framework aims to extract actionable intelligence from massive datasets, empowering decision-makers to make informed choices in dynamic and complex environments. The methodology combines the scalability of Big Data technologies with the foresight of predictive analytics, offering a robust solution to the challenges posed by voluminous and diverse datasets. The talk outlines the key components of the framework, including data preprocessing, feature engineering, and the application of machine learning algorithms to uncover patterns, trends, and potential future outcomes. In conclusion, this talk offers a navigational guide for organizations seeking to harness the full potential of Big Data. By fusing the scalability of Big Data technologies with the predictive power of analytics, this framework provides a pathway to uncovering valuable insights and staying ahead in the ever-evolving landscape of data-driven decision-making. “A human being should be able to change a diaper, plan an invasion, butcher a hog, conn a ship, design a building, write a sonnet, balance accounts, build a wall, set a bone, comfort the dying, take orders, give orders, cooperate, act alone, solve equations, analyze a new problem, pitch manure, program a computer, cook a tasty meal, fight efficiently, die gallantly. Specialization is for insects.” AGI or human like intelligence is not possible without the traits that lead to human like intelligence. One such trait is embodiment of intelligence. Combining Robotics with AI algorithms provides with the embodiment needed for AI algorithms to interact with the physical world and come one step closer to AGI.
Page(s):
1-1
DOI:
DOI not available
Published:
Journal: Second International Conference on Computing Technologies, Tools and Applications (ICTAPP-24), June 4-6,2024 (Abstract Book), Volume: 0, Issue: 0, Year: 2024