2:00 pm - 5:00 pm GMT (London) | 3:00 pm - 6:00 pm CEST (Paris) 06:00 am - 9:00 am PDT (Los Angeles) | 9:00 am - 12:00 pm EDT (New York)
Some of the objectives for attending this event include:
Stay Informed About Industry Trends - Participants aim to stay updated on the latest trends and technologies in engineering data science. This includes learning about recent advancements in data science, machine learning, algorithms, techniques, and their real-world applications.
Knowledge Sharing and Best Practices - Attendees seek to share their expertise and exchange best practices with fellow professionals in the field. This knowledge-sharing enhances their understanding of evolving industry standards and equips them with new skills.
Networking Opportunities - Networking is a primary goal, as attendees aim to connect with peers, including data scientists, engineers, and machine learning practitioners. This networking can lead to job prospects, collaborative projects, and valuable learning experiences through interaction with others.
Application Insights - Participants want to gain insights into how data science and machine learning are effectively applied to solve real-world problems. This knowledge enables them to apply these techniques to their own work and address practical challenges.
Inspiration and Motivation - Attending the event allows individuals to draw inspiration from the work of other data scientists and machine learning professionals. This inspiration serves as a catalyst for them to pursue their own goals and aspire to achieve excellence in the field.
Data, Databases, Data Access
Interface to SDM: How to decide what to store and how?
Data cleaning and preparation for algorithms
Algorithm development, training performance, tuning
Governance, POC, model proliferation, trust, and ROI
IT, GPU’s, Storage, Web front ends, chatbots
Change Management - what do we need to do to change minds (understand the value of data, be open for new technology)
The Engineering Data Science Working Group has formed an online Community to enable NAFEMS members to learn more and interact with other engineers and scientists who have an interest in Engineering Data Science analysis. For more information and to get involved go to the Engineering Data Science Community webpage.
Join us as a sponsor ...
We would like to extend an invitation to your company to be part of this event. There are several outstanding opportunities available for your company to sponsor the seminar, giving you maximum exposure to a highly targeted audience of delegates, who are all directly involved in simulation, analysis, and design.
Please contact the event organiser Jo Potts, for further information email@example.com; +44 (0)1355 225688
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