Data Science, Artificial Intelligence and advanced practices in Data Visulization
Data science is the key to business success in the information economy. This workshop will teach you about best practices in deploying a data science capability for your organization. Technology is the easy part; the hard part is creating the right organizational and delivery framework in which data science can be successful in your organization. We will discuss the necessary skill sets for a successful data scientist and the environment that will allow them to thrive.
We will draw a strong distinction between “Data R&D” and “Data Product” capabilities within an enterprise and speak to the different skill sets, governance, and technologies needed across these areas. We will also explore the use of open data sets and open source software tools to enable best results from data science in large organizations.
Advanced data visualization will be described as a critical component of a big data analytics deployment strategy. We will also talk about the many pitfalls and how to avoid them.
- Learn about the latest technologies for machine learning and artificial intelligence.
- Learn how to innovate using data science in the age of big data.
- Learn about the most common mistakes made when doing big data analytics.
- Learn how to deploy data lake, data R&D, and data product capabilities within your organization.
Overcoming Information Overload with Advanced Practices in Data Visualization
It is well known that human understanding is much more effective with pictures than with rows and columns of numbers. However, much of the output from business intelligence environments remains trapped in traditional reporting formats. In this workshop, we explore best practices in deriving insight from vast amounts of data using visualization techniques. Examples from traditional data as well as an in-depth look at the underlying technologies for visualization in support of geospatial analytics will be undertaken.
We will examine visualization for both strategic and operational BI. A key theme is exposing actionable decisions through use of visualization techniques. Examples from a variety of industries will be employed.
- Learn how to overcome information overload with visualization.
- Learn about best and worst practices in deploying visualization tools.
- Learn about next generation visualization tools using mash-ups, geospatial data, and animation.
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For everyone who wants to learn essential data science skills.
Stephen Brobst is the Chief Technology Officer for Teradata Corporation. Stephen performed his graduate work in Computer Science at the Massachusetts Institute of Technology where his Masters and PhD research focused on high-performance parallel processing. He also completed an MBA with joint course and thesis work at the Harvard Business School and the MIT Sloan School of Management.
Stephen is a TDWI Fellow and has been on the faculty of The Data Warehousing Institute since 1996 and teaches in TDWI conferences. During Barack Obama’s first term he was also appointed to the Presidential Council of Advisors on Science and Technology (PCAST) in the working group on Networking and Information Technology Research and Development (NITRD). He was recently ranked by ExecRank as the #4 CTO in the United States(behind the CTOs from Amazon.com, Tesla Motors, and Intel) out of a pool of 10,000+ CTOs.
1 900 € + ALV
Ari Hovi Oy
Tulevaisuuden menestyjät osaavat hyödyntää dataa.
Haluatko kasvattaa omaa ja organisaatiosi osaamista ja kykyä hyödyntää dataa? Opi nyt uutta kotimaisilta ja Suomeen tulevilta alan huippukouluttajilta. Laadukkaista koulutuksista saamallasi tietotaidolla vältät monta sudenkuoppaa, säästät aikaa, ratkaiset ongelmia ja saat kestävämpiä lopputuloksia. Suomen suurimmat organisaatiot ja IT-asiantuntijat luottavat...
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