Expertise developing and driving adoption of Responsible and Ethical AI standards with emphasis on Fairness, Inclusion, Transparency, Reliability, Security, and Privacy. Implemented ethical AI program across a 5,000 person organization with standardized measures, release criteria, and incident management tools and processes.

Data Science and Data Engineering Manager in Cloud and AI Division primarily focused on graph and AI models for AI Driven Selling, Marketing, and Business Intelligence. Built algorithms for Commercial account Life Time Value (CLTV), Next Logical Product (NLP), influence detection and targeting, and seller relationship strength for B2B selling. Researched, designed, and implemented the Post Sales Monetization streams and the Business Intelligence Graph to provide the data layer for future user, device, and business entity insights driven through our ML and AI layer.

Over the past few years, we have seen increased activity in the development of software powered applications in a range of sectors, such as autonomous vehicles, security, and data mining. As the level of investment and research effort in these fields intensifies, companies are looking to protect the rights to the Intellectual Property of their innovative solutions and algorithms to protect their technology roadmap and gain an edge over their competitors. But what are the different ways we can protect these innovations? In this presentation, we will discuss the protection of software - based innovations, discuss how to deal with A.I “inventors”, and provide examples of IP considerations that need to be considered during the product development lifecycle.

90 percent of the data in the world has been created in the last two years, and it is projected to increase by 40 percent annually. One of the key roles of the UN and other international or regional organizations is setting principles and standards to guide collective action around the safe use of big data for development and humanitarian action within a global community and according to common norms. Artificial Intelligence technologies are seeing a huge rate of adoption across almost all the industries including the development sector. This talk covers the nuances of applying artificial intelligence to attainment of Global sustainable development goals with certain relevant use cases.

I am data scientist and bioinformatician with nearly eight years of industrial and academic experience from various fields, including biomedical research, agriculture and finance.

Data Science & Machine Learning | Artificial Intelligence & Big data | Introduction|History|Regulatory Aspect| Application of data science | Tools and evolving capabilities | Data | Uniqueness & challenges | Classification Algorithm

Case Study:

Predicting bank loan default | Data| Machine Learning Algorithms | Results & Discussion.

In this talk I will provide an overview of banks history, its regulatory aspects and application of machine learning in banking with real-time use case.

Deepti Gupta has done her MBA in Finance and PGPM in operation research. She has worked with KPMG and IBM and is currently working as a data scientist in the banking sector . Deepti has extensive experience in predictive modeling and machine learning with an expertise in SAS, R and Python. Deepti has authored a book on data science and machine learning and has developed data science courses, delivered data science training, and conducted workshops for both corporate and academic institutions. She has written

Definition Purpose of Strageic planning
Current AI Use in Marketing and Financial Management
Steps in SP
Data types in SP
Data sources in SP
Datawarehouse vs Data Lake
Problems to be addresses
Our Solutions
A video on Animated description on how we do

We have created Next Best Offer recommendation for users. We have send the offer via App on Mobile phone.
There are various best offers for every client based on their past behavior. There are basically three best offers that every eligible user receive that are relevant for him.

20+years industry experience world-wide (Netherlands, USA, Serbia), from science& engineering (PhD in EE, UTwente NL) to marketing, business, analytics to Applied Data Science. In 2016 he started Data Science & Analytics team within marketing department of Telenor Serbia. He has been a keynote speaker and presenter to many Data Science conferences in Europe; promoting applied data science in Marketing & Business. Currently, he is as a freelance consultant on Business Convenient Analytics & Data Science.

AI/Natural Language Processing technologies to analyze and improve voice-based interactions with customers by analyzing conversations at large scale

As Vice President of Engineering at Zillow Group, Andrei leads the teams responsible for the company’s search and discovery engines, including search science, development, infrastructure, and operations. As part of this role, he heads Zillow Group’s conversational AI efforts, which consist of initiatives around natural language processing platforms, speech analytics, call center AI, and conversational interfaces, with the goal of improving Zillow’s business and customer services using natural language processing and speech understanding.

Before joining Zillow in 2019, Andrei led search science teams within eBay and Walmart. Prior to Walmart he worked at Google and Apple, serving as a core contributor to products like Google web search, Apple Maps, Apple’s AppStore, and iTunes search engines. He previously led engineering efforts for Recruit Holdings’ AI Lab. He founded and sat on the advisory board of Ozlo, a Conversational AI startup acquired by Facebook in 2017.

Andrei earned a Doctor of Philosophy in Computer Science from The University of Manchester, United Kingdom and Master of Science Degree from the Moscow Institute of Physics and Technology.