While the democratization of data science can be attributed to the proliferation of tools, choosing the right tool has become a challenge. Most of the data driven projects require a carefully integrated software hardware solution. Add to this data scientists yearn for project security while allowing them to experiment on R&D. Using the cloud for these purposes is strictly not advisable.

Hence it is critical for data scientists to understand what aspects and features a high performance computing workstation should have that will best serve their purpose and thereby have a positive impact on their organization and the clients they serve.

Analytics India Magazine in association with Dell Technologies is organizing this webinar to help data scientists understand the fundamental prerequisites of picking the perfect data science workstation which suits their day to day data science workloads.

The session will have (data scientist speaker) deliver a talk on what critical features a data science workstation should have. This will be followed by a panel discussion between (Data Scientist) and (IT leaders). The panelists will discuss about:

a) Surge in demand for dedicated data science workstations.

b) Benefits that organisations are able to derive by use of dedicated data science workstations &

c) Security benefits that a dedicated data science workstation offers etc

We will also have Mr. Suhas Pingat, Brand Manager Precision Workstations of Dell Technologies giving his view in an interesting Fire-side chat followed by the audience Q&A.

Why Should You Attend

If you are a data scientist or an aspiring one, you would be confused about the kind of compute that your data intensive projects might require. This session is tailor made to address all those queries. The IT leaders and data scientists will come together in this hour long insightful session to provide you with all the information required to make a intelligent decision on choosing your next data science workstation

Session Details

Date: 5th March’2021

Time: 03 PM to 4:15 PM

Agenda

03:00 PM – 03:05 PM	Welcome Address followed by Introduction of Speaker by the Moderator
03:05 PM – 03:30 PM	Session by the Data Science Professional on the topic
03:30 PM – 03:50 PM	Panel discussion
03:50 PM – 04:05 PM	Fire-side chat
04:05 PM – 04:15 PM	Audience Q&A and Conclusion

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