2020 Day 2 Agenda
10:00AM
(MST)
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Chester Chen
Director of Data Science Engineering
GoPro
10:00AM - Day 2
View Presentation: Creating an Architecture for Analytics and AI
11:45AM - Day 1
View Presentation: Creating an Architecture for Analytics
Presentation: Creating an Architecture for Analytics and AI
- Discussing the ecosystem of data warehouses/lakes/the cloud, what is needed to build an effective analytics environment. Examining the benefits and pitfalls of each approach.
- Exploring what is needed in this new world of analytics, with ever growing data sets, fringe data, upgraded tools and processes and security threats, how do you build the right architecture to handle this whilst remaining agile and adaptive?
On-Demand Presentation
. Chester Chen, Director of Data Science Engineering, GoPro
10:30AM
(MST)
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Lane Arthur
Vice President of Data, Applications & Analytics
John Deere
10:30AM - Day 2
View Presentation: Deere’s Submission Focus: Building resilience on the farm with AI
Presentation: Deere’s Submission Focus: Building resilience on the farm with AI
- Lane Arthur of John Deere will discuss how AI helps build resilience on the farm. Specifically, he will discuss the following topics:
- The challenges that agriculture is facing today and how technology can help.
- How AI & AI-enabled equipment is taking the burden off farmers.
- How AI and big data is utilized at all stages of the farming cycle.
- How other industries can follow the agriculture industry in utilizing AI and data in their day-to-day operations.
On-Demand Presentation
. Lane Arthur, Vice President of Data, Applications & Analytics , John Deere
11:00AM
(MST)
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Vipindas Koova
Senior Director – Technology
Nitor Infotech
11:00AM - Day 2
View Presentation: Big Data Architecture that Supports Seamless Microservices Integration
Presentation: Big Data Architecture that Supports Seamless Microservices Integration
- Use cases summary where OLTP and Analytics need to work on same data
- Cloud Independent Big Data Architecture that support OLTP and Analytics Processing on same data
- AWS based Serverless Big Data Architecture that supports OLTP and Analytics Processing on same data
On-Demand Presentation
. Vipindas Koova, Senior Director – Technology, Nitor Infotech
11:20AM
(MST)
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Raj Joseph
President & CEO
DQLabs
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View DQLabs
11:20AM - Day 2
View Presentation: How to make sense of no sense data?
11:20AM - Day 1
View Panel: Big Data and AI for customer experience
Presentation: How to make sense of no sense data?
- In today’s world anyone can create any data from anywhere on any device. While this is going to grow even further with more and more business strategy shifts and technology sophistication, we are left with no choice other than to deal with lots and lots of data.
- Traditionally we have been forced to use big data platforms, analytics but does that really help? Are the leadership able to trust their own data within their organization? Are the data engineers able to steer and proactively manage their data platforms? Are the data scientist who are supposed to build models and refining algorithms able to focus just on those objectives?
- Or are we just mindlessly building data lakes and clusters with the hope one day we will make some sense of the data we have. This topic is for those who are brave enough to roll up their sleeves and willing to admit enough is enough, and try new approaches to solve the age old question of how to make sense of our own data?
On-Demand Presentation
. Raj Joseph, President & CEO, DQLabs