AI Technologies - Module 4
Covers 4 topics:
1 - Importance of Data Analytics in solving Business Problems
2 - Current Statistics, Challenges, and Future of AI Technologies
3 - Future Of Healthcare with Federated ML
4 - Knowledge Graph
Title - Importance of Data Analytics in solving Business Problems
The speaker began by defining data analytics in the context of businesses and how data can be used to optimize business growth. Further, tools were discussed for solving data problems in the field of marketing, healthcare etc. She also tried to touch upon some questions on what all businesses do with analytics. At last, concluding the topic with the emerging demand for data analytics and its application.
Title - Current Statistics, Challenges, and Future of AI Technologies
The speaker starts with a video surveillance system and how it is able to deal with real-world security problems and explains how it is used in two bombing events for example Boston Bombing, Mumbai attacks. Also, she explains the problem related to privacy in AI and how to handle this challenge via the Machine unlearning method. In the last, she concludes by saying if we use the power of AI in a sufficient manner then it will bring constructive energy, and if we misuse/overuse AI then it will bring only destruction. Hence, urge all to use it efficiently, with dignity, and ethically the power of Artificial Intelligence.
Title - Future Of Healthcare with Federated ML
Aims at introducing the audience to the role of ethics, and sustainability in building the personalized healthcare solution.AI adopted in industries like automobiles, banking, and particularly focused on healthcare sectors. Further talks explain how we collect information and build models for privacy-preserving technologies and building recommendation systems using Federated learning. She talks of recording information, and how it is used to train the models, send to centralized servers, and finally push to IoT devices. Finally, developing a mechanism for training at the local system and building the secure, reliable, and hybrid model.
Title - Knowledge Graph
This talk starts with defining, the importance of the knowledge graph and its growing applications. The speaker poses some interesting questions like what business values do knowledge graph brings to any organization and secondly what are the key question that many enterprises would essentially ask while dealing with it and answer the same in her talks. At last, she concludes her topic with a note to understand the powers of knowledge graphs in AI-enabled systems to exploit maximum knowledge out of the data.