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Bored at Work? Innovate at a Regular Engineering Job Or Go Extinct! Yury Ziamtsou, BI Solution Practice August 07, 2015.

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Presentation on theme: "Bored at Work? Innovate at a Regular Engineering Job Or Go Extinct! Yury Ziamtsou, BI Solution Practice August 07, 2015."— Presentation transcript:

1 Bored at Work? Innovate at a Regular Engineering Job Or Go Extinct! Yury Ziamtsou, BI Solution Practice August 07, 2015

2 2 Word Association Game: What Do You Imagine When I Say...

3 3 Belarusian IT Worker’s Associations with “Redundancy”

4 4 Western IT Worker’s Associations with “Redundancy”

5 5 An engineer at EPAM BI Solution Practice (for 4 years) Was a data scientist at the Belarusian Academy of Sciences Has 15 years of IT experience with primary focus on solution architecture for projects on data management Herds two cats About Author: Yury Ziamtsou

6 6 Innovation – new idea on how to use the existing technology in a more effective way so that implementation of this idea results in a better solution that meets your client’s requirements and often exceeds their expectations. Risk-Free Innovations Definition Goal Add value Drive project costs down

7 7

8 8 Results of Different Styles of Family Planning

9 9 Being a Part of a Global Team We can’t think about ourselves as an offshore part of a team 1 It’s important to talk about ourselves as a part of a global distributed team 2 Gino Marckx Head of the Agile Competency Center https://info.epam.com/en/news/articles/2015/gino_marckx_on_the_new_brand.html

10 10 Artificial Intelligence Will Purify the Industry

11 11 Technological And Initial Singularity – No Humankind Around

12 12 Supercomputers As House-Like Medical Diagnosticians

13 13 Query Data Store Collects full history of query execution Pinpoints expensive queries Lets you select better plan from history Has an intuitive UI and T-SQL API

14 14 Query Data Store + Azure Machine Learning = AI for Query Performance Tuning (Workload Insights)

15 15 Qualities/Values: Go Pick Your Own! Curiosity 1 Insight 2 Engagement 3

16 16 Case #0: Fast and Curious I – Comparison Chart

17 17 Case #0: Fast and Curious II – ER Model

18 18 Case #0: Fast and Curious III – PoC Implementation

19 19 Case #0: Fast and Curious IV –Selling PoC to the Stakeholders

20 20 Case # 1: Presale for a Pharmaceutical Company

21 21 Case # 1: Presale for a Pharmaceutical Company (No Orange)

22 22 Case # 1: Presale for a Pharmaceutical Company (No Green)

23 23 Case # 2: Business Intelligence Markup Language or 100X Productivity Gain

24 24 Case # 2: Scenario for BIML

25 25 Case # 2: Using Master Data Tools (MS Excel Add-in for MDS) to Manage Metadata

26 26 Case # 3: SQL Server Data Tools or Declarative And Idempotent Operations

27 27 Case # 4: How 3rd Party Tools May Save You Time (1 of 2)

28 28 Case # 4: How 3rd Party Tools May Save You Time (2 of 2) Complex sequence of operations is replaced with just one task in an elegant way

29 29 WHAT WAS THIS ABOUT?

30 30 QnA/Thank You Slide Artificial intelligence will optimize the number of IT workers 1 Those, who want to remain, need to augment their skills with human specific capabilities (innovative thinking, creativity, imagination, curiosity, gut instincts, insight, inspiration…) 2 Get really clear on your human-only values and commit to them 3


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