January 2019: Benefits and Challenges of Migrating to the Cloud

UPDATE: Click here to view & download the presentation slides

Presented by Joshua Skarphol

Consulting Manager, Snowflake Computing

Moving is difficult, so why bother? In this talk Joshua Skarphol will discuss the benefits of moving your data to the cloud, moving the discussion beyond the hype, and examining the security, scalability, and performance gains that cloud adoption offers. He’ll also dig into some of the common challenges and pitfalls you can expect when embarking on this journey.

In this interactive session, Joshua will discuss:

  • The challenges of migrating to a cloud solution, including overcoming the inertia of the way things are
  • Data processing impacts of moving to the cloud, including coexistence with on-premises tools and the development impacts of moving to the cloud
  • The benefits of seeing it through, including enabling business transformation and better data access

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March 2018: Data Science Career Path

Presented by Asoka Diggs

Intel Corporation

UPDATED: A PDF of Asoka’s presentation is available for download.

Many are interested in data science as a career. In this presentation, we’ll break data science down into smaller pieces that can be better understood and might help you with deciding if some or all of data science is a career path that you want to pursue. We’ll also get into some of the additional skills critical to success as a data scientist with the objective of being effective and/or contribute meaningfully to a data science project, and not just get the job title.

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February 2018: Business Applications of Blockchain Technology

Presented by Mark Wheeler

UPDATED: A PDF of the presentation is available for download.

Blockchain technology is being talked about as one of the next big innovations to take hold across multiple industries. Businesses who focus on transactions, contracts, and assets management are just a few of the initial sectors of the economy which will be disrupted. As the underlying technology begins to take hold, time-consuming and labor-intensive functions will be replaced by automated and “always on” smart processes. Centralized models of trust and authenticity will be replaced by decentralized services and crowd-based consensus algorithms.

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