Machine Learning and Predictive Analytics – A Dynamic Winning Duo for Retail
Details
Agenda:
17:30 - 18:00 Gathering (food and beverage)
18:00 - 18:45 Session A – To Buy or not to Buy? - Embracing Data Science and Machine Learning in Retail
18:45 – 19:30 Session B – Predictive Analytics for Retail use cases with SAP Automation Analytics
19:30 – 19:45 Q&A
Target Audience:
Developers, Data Scientists, Big Data Architects and Product Managers who are interested in better understanding the benefits of Predictive Analytics and Machine Learning Tools for retail industry and for general purpose.
Session A - To Buy or not to Buy? - Embracing Data Science and Machine Learning in Retail
The frequent changes in consumers’ purchasing behavior due to online shopping and the social amplification of consumer opinion, continue to erode customer loyalty in Retail.
To stay in business, leading retailers invest in digital transformation, particularly in the area of customer-centricity. However, to actually build and maintain a personalized customer relationship, retailers need to obtain a deep understanding of each customer’s buying habits, preferences and their trends, and to leverage that knowledge into effective personalized and timely dialogue and treatment.
In this session I will talk about these challenges and will present initiatives and solutions to run fine grained data science automation at scale.
About the Speaker
Dr. Shuki Idan is a pioneer and thought leader in the domains of Machine Learning, Data Science, Artificial Intelligence, Big Data, CRM, IoT and Digital Transformation. After spending 10 years at SAP Labs, Shuki is now helping start-ups and established product vendors to harness data science and machine learning and make their solutions even more amazing and successful.
LinkedIn Profile
https://www.linkedin.com/in/shukiidan/
Session B – Predictive Analytics for Retail use cases with SAP Automation Analytics
Predictive analytics and machine learning working separately or together can be just what Retail companies needs to succeed. But understanding how they work is key to figuring out how they can help businesses thrive.
Competing in today’s marketplace means using all types of data. Now you can see the future more clearly with predictive analytics and Machine learning
Retail Organization can identify untapped opportunities and expose hidden risks buried inside Big Data and the Internet of Things – all in real time – with the power of predictive analytics. You can quickly build sophisticated predictive models to mine your data for the insights that will keep you ahead of the pack.
In this session we will present how Data scientists and big data architects can build powerful predictive models using algorithms based on SAP predictive algorithms platform and library.
We will present the advantage of analytics automation to drive a large portion of the effort to maintain traditional regression algorithms by handling very large numbers of inputs.
We will present Use Cases in the retail Industry.
About the Speaker
Mr. Laurent Tessier, (PhD Statistics) is a Senior Architect of the Predictive Analytics Center of Excellence in SAP Global Organization, he is a Predictive Analytics expert and a consultant of its integration in Business Processes
Linkedin Profile: