Hardik is having 12 years of product management, solution designing experience. Worked with Infosys and CGI. Associated with CGI from last 5.5 years where have worked on products such as Advisor Experience, Portfolio Management solution, Digital Advisor, created IP Co-browsing through innovation initiative and lead innovation initiative.

The talk provides a high level overview of what is Graph Representation and Graph Mining and why has it become a key component in Data Science and Analytics. The later section talks about the popular concepts in Graph Analytics and presents some key Use Cases in the area of E-Commerce ranging from Recommender Systems, Customer Journey, Product Similarity, Search, Logistics and Delivery, Catalog and Site Optimization. This also lists some of the popular frameworks for representations and addresses some of the key challenges in scaling them to production systems.

Pramod is a Senior Manager, Data Science at Falabella, consultant, blogger and an avid speaker. He comes with a wide range of AI/ML expertise ranging from Recommendations systems, Natural Language Processing, Reinforcement learning, deep neural networks, big data processing technologies, massive parallel computing, web development, etc. using a variety of open source technologies. He holds a patent on Reinforcement Learning (grant pending), has presented a couple of papers in international conferences [1], [2], authored a couple of tech blogs [3], [4], given talks at various meetups [5], [6], featured in some international journals/blogs [7], [8], has participated in various hackathons and also provided consultancy to various startups. He brings in 16+ years of rich experience in building high end AI solutions in large organizations like Target and Fidelity with proven track record transforming data science work streams by adapting agile and devops framework and helping to deploy AI products, faster to the market.

How product page in an ecommerce site can be redesigned using state of the art data science techniques which will drive higher attention span and lead better conversion. In this presentation will show how empirical browsing data will be analysed and how state of the art ML techniques can be applied to redesign the webpage.

I have 8+ years of experience in data science and machine learning field and holds master’s degree in data science and engineering. I have Worked across automotive, finance and ecommerce domain. Started my carrier from Bosch where I was part of advanced engineering team focused on L4 and L5 self-driving. After that I have spent 2.5 years in finance domain where I conceptualized and created estimated potential revenue of 15MN USD product. Currently working with Rakuten from last 2.5 years where I am helping Rakuten Mobile on customer acquisition, preventing churn and retaining existing customers.

Information Technology transformation is closely linked with technology disruption.  It occurs when a technological innovation destabilizes a business environment and erodes the status quo. The smartphone is one such new technology that has made many other technologies obsolete.   Technology's transformation has a subtle and gradual impact on society. However, disruptive technologies affect, positively to all industry segments. This requires a shift in mentality so that human capital can adapt to these new possibilities.   Dr. Vamsi Mohan is going to speak more on " Technological Disruption and Transformation". He will share his digital transformation experiences and business case studies during his session. Speaker Profile

Dr. Vamsi Mohan is a Chief Technology Officer at Huber, a digital employee experience platform.  He ranks among the top 50 global thought leaders and influencers in RPA, Datacenter Technologies, and Cyber Security.  He has acquired numerous awards and honours in the IT industry.  Most recently, Dr. Vamsi Mohan was named in the Global Top-50 Technologists for the Year 2022 for his contribution towards Digital Innovation. He was awarded the Best Scientist of the Year for ‘2021 for notable contributions to research, and engineering. Dr. Vamsi’s stellar academic accomplishments have enabled him to review, guide, and research in well-known academic publications. His technical papers and articles have been published in national and international journals and he has successfully driven several industry-academic initiatives with various tier-I, and tier-II technology institutions in Europe and Asia-Pacific. He is an eminent industry speaker at multiple national and international conferences.

The post pandemic era is going to be called as "Digital Age". Every industry and enterprise are going through a paradigm shift of operating and running their business. The need for modernisation of application and data is a mandate to sustain and deliver outcomes. While customer experience is becoming one part of the game , employee experience is another area every organisation must consider. JP will be presenting a perspective of "how business analysts can make a difference in application and data modernisation".

JP is Senior Director in Collabera technologies. Seasoned Enterprise architect and thought leader who helped large organisations on their digital transformation and application modernisation. JP leads the platform practice and innovation for collabera technologies on a global scale. Considered more influential on technology consulting among the C level in the ASEAN region. He is one of the leading open innovation contributor in the platform engineering space also own the partnership & alliances for collabera. JP worked for DXC, IBM and Turbo in his past while he also holds 2 patents on data collection patterns in historians..

Digital banking fraud is a major international industry in which sophisticated criminal groups employ increasingly sophisticated tools. ML/AI is changing the landscape of how banks fight fraudsters. This is the space where cutting edge technology can be used in Banking Domain without the interference of regulators.Fraud Modelling creates the ML/AI used cases for the whole consumer banking setup.

10 years of experience in Statistical & ML Models for HSBC, JP Morgan & Chase, Wells Fargo across Marketing, Risk & Fraud Domain

The goal of inventory management is to have the right products in the right place at the right time. In this presentation will show how we capture customer demand (actual demand and lost sales) and forecast it to decide how much to order to maintain optimal inventory. Will also cover how the order management is linked to budget availability

I have started my career in 2007 with Genpact in the analytics domain. Significant period of my career was spent with Accenture working across various industry in Marketing Analytics domain. Then I moved to Landmark Group working in various domain of Retail Analytics. There I headed the customer analytics division and later moved to manage the inventory analytics domain managing as Deputy General Manager. Finally, I moved to Rakuten India in 2021 working for the Consulting Division as Senior Manager, Business Analytics.

With the growing popularity of online shopping, an efficient search engine, an integral part of any E-Commerce website, is becoming a key differentiator from competitors. An optimized search algorithm ensures that the customers are getting the right product they are looking for which increases the likelihood of the products being clicked and purchased, in turn increasing customer satisfaction and retention. Learning to rank (LTR) is an advanced supervised learning technique that solves the ranking problems in search relevancy. In this presentation, we will explore how LTR solves the search ranking problem, various types of algorithms under it, how it solves various types of biases in search ranking, and a few real-life use cases.

Kushal has close to 12 years of experience in Analytics, Predictive Modelling, Machine Learning, and Artificial Intelligence. After completing his M.Sc. in Statistics from Calcutta University, he worked for Tesco, Fidelity Investment, TCS, JP Morgan & Chase, and Landmark Group primarily focusing on retail and the BFSI domain. Currently, he is working as Senior Staff Data Scientist with Rakuten at their Online office. He has built numerous algorithms along with automation, product development, and product optimization. In his current role, he is primarily responsible for building predictive algorithms for different businesses in Rakuten. He has built several algorithms including recommendation engines, customer acquisition/re-activation, customer LTV, customer purchase path, channel attribution, search ranking optimization, etc. Before joining Rakuten, Kushal worked for Landmark Group where he led a team responsible to develop and implement new solutions for the business. He and his team built solutions on Assortment Optimization, Product Lifecycle Management, Workforce Management, and competitive intelligence. Kushal is a winner of the “40 under 40 data scientists” and “Top 20 Most Influential Data Champions” awards of 2022

We will discuss on what is enterprise artificial intelligence architecture in hight level as well challnges in adoption of them. The points that could be consider in order analyse and plan the AI project.

Rahul has about 20+ years of experience and been with SAP for more than 17 years.

Rahul has held various leadership positions over the course of his distinguished career at SAP in developing innovative products and leading organizations that deliver high-quality customer-focused solutions across a global landscape. Currently Responsible for Artificial intelligence platform for realizing / scaling AI and ML use cases for industries and line of business and also co-leads the Leadtogether inititive, one of the largest community @ SAP Labs India.

In these 20 years, he has played different roles, faced multiple challenges, plenty of re-orgs but always re-invented himself to convert these adversities to opportunities.

He is Thought Leader speaker in external forums for artificial intelligence. He played a key role in multiple initiative driven with technology during Covid19 crise with various industry bodies like NASSCOM , Indo-German chamber of commerce etc. He is also involved in Govt policy review for artificial Intelligence and part of INTI Aayog and Atal tinkering Lab initiate to publish book on AI base and advance module for students.

He has been at the forefront of multiple awards and recognitions in recent was awarded as the Star Leader at SAP labs.

Artificial Intelligence will not replace doctors, but doctors who use A.I. will replace those who don't due to the crucial role A.I. has started to play in Medicine. The US spends almost 18% of their GDP on healthcare, while India spends almost 3% as of 2021. The application of AI is having a tremendous impact on the Healthcare sector. We will discuss various medical fields that will be impacted by the application of AI. We will begin by understanding how and what kind of data is generated during the patient care journey at the patient care facilities and then what techniques can be applied to extract different kinds of values from it. We will try to understand what a diagnosis is and how difficult it is for current AI to make an accurate diagnosis, and why we can't replace doctors with AI. As Benjamin Bell said “…. AI will not replace doctors but instead will augment them, enabling physicians to practice better medicine with greater accuracy and increased efficiency”.

Head of Data Science Research @ SyTrue Inc MS by Research from IIT Kharagpur,Researcher,Journal Reviewer AI-ML Community Organizer: Organizer at AI & ML Meetup, Online