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AIOps - Adopting DevOps Culture in Artificial Intelligence (AI) and Data science world

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This presentation talks about how we can adopt DevOps Culture in Artificial Intelligence (AI) and Data science world. i have explained how Fictitious company JIT BI technology embraced DevOps even in the field of Data science and AI to hold an edge in the Marketplace

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AIOps - Adopting DevOps Culture in Artificial Intelligence (AI) and Data science world

  1. 1. Murughan Palaniachari Adopting DevOps Culture in Artificial Intelligence (AI) and Data science world - #AIOps
  2. 2. http://www.unicomlearning.com/2017/Devops_Microservices_and_Containers_Summit_Bangalore/ Who am I? Murughan Palaniachari DevOps Coach, Speaker, Blogger, Trainer Working @ Euromonitor Organizer - Cloud and DevOps meetup https://elevate-org.com/ https://devopsgames.com/ https://in.linkedin.com/in/murughan @Murughan_P With my Guru – John Willis
  3. 3. Fictitious company - JIT BI technology • Just in Time assistance • Virtual assistance for daily tasks • Business Analytics for Data-driven solutions • Provides Analytics outsourcing @Murughan_P
  4. 4. JIT BI company hierarchy Product Manager Data Analyst Data Engineer Data Scientist Operatio ns Measure team Silo teams @Murughan_P
  5. 5. Current Challenges of JIT BI • Silo teams – Each team has their own process and disconnected teams • Lack of Trust among teams • Agility is missing – not ready for change and not nimble • Top down approach – decision takes place in top level • Leader-follower culture • No faster feedback loop • Local Knowledge • Blame-game @Murughan_P
  6. 6. Current Challenges of JIT BI • Not an learning organization • People are scared to take Risk as failure might lead to punishment • Lack of system knowledge • Traditional process takes time even for smaller job • Traditional analytics methodology and technology • People are not ready for Change • Delay in release – late to market • Lack of innovation @Murughan_P
  7. 7. JIT BI technology’s Vision • Build AI Personal assistant • Digital Transformation JIT BI is planning to adopt DevOps Culture to meet their vision. So lets look at how DevOps will help. @Murughan_P
  8. 8. Artificial intelligence • Artificial intelligence (AI) is becoming more common. In fact, by 2021, Gartner projects that 40% of new enterprise applications implemented by service providers will include AI technologies. • AI is not defined by a single technology. Rather, it includes many areas of study and technologies behind capabilities, such as voice recognition, natural-language processing, image processing. These technologies and capabilities benefit from advances in algorithms, abundant computation power, and advanced analytical methods like machine learning, deep learning and reinforcement learning. • As off 2018, Jan. only 4% of population have deployed AI solution as per Gartner report. • This will require new skills and a new way of thinking about problems. https://www.gartner.com/smarterwithgartner/2018-will-mark-the-beginning-of-ai-democratization/ @Murughan_P
  9. 9. What is DevOps Patrick Debois – The Godfather of DevOps • DevOps is a cultural change • Its about relationship • DevOps is about trust and collaboration between Dev and Ops • DevOps incorporates proven best practices from Lean, TPS, Dr Deming’s principles and best practices from high performing organizations. https://www.youtube.com/watch?v=o7-IuYS0iSE&t=615s @Murughan_P
  10. 10. What problem DevOps is solving https://www.edx.org/course/introduction-devops-transforming-linuxfoundationx-lfs161x @Murughan_P
  11. 11. Source: https://elevate-org.com/2016/12/14/top-10-devops-values/ Culture Collaboration Decreasing Silos Trust Failures are Learning Opportunities System Thinking No Blame Game No Victims Focus on end Goal Sharing Measurement DevOps Values Learning Organization Goal Why Blameless Post-mortem Lean Automation Continuous Improvement @Murughan_P
  12. 12. Project to Product teams Product Manager Data Analyst Data Engineer Data Scientist Operatio ns Measure team Product team Product team Product team @Murughan_P
  13. 13. DevOps Principles and Practices • System thinking • Increase visibility • Identify and Elevate Constraint • Eliminate waste • Shorter lead time • Shorten feedback loop • Learn faster • Everyone is responsible @Murughan_P
  14. 14. DevOps Principles and Practices • Fix defect faster • Embedding knowledge • Enabling organizational learning and Safety culture • Local Discoveries into Global Improvements • Limit work in progress • Automation • Cloud and managed services for faster delivery • API mindset • Security is everyone’s responsibility @Murughan_P
  15. 15. Continuous Integration https://www.ibm.com/developerworks/library/cc-devops-artificial-intelligence-cognitive/index.html @Murughan_P
  16. 16. Continuous Learning https://www.ibm.com/developerworks/library/cc-devops-artificial-intelligence-cognitive/index.html @Murughan_P
  17. 17. DevOps increases profitability by 2 times @Murughan_P
  18. 18. Conclusion DevOps is all about the Culture of Agility and Continuous improvement. JIT BI technology embraced DevOps even in the field of Data science and AI to hold an edge in the Marketplace @Murughan_P
  19. 19. DevOps in AI – Simulation/Game Kaggle competition Build Jarvis the Personal Assistant @Murughan_P
  20. 20. Mark Zuckerberg's JARVIS AI https://www.youtube.com/watch?v=b97WB7ZBMTM @Murughan_P
  21. 21. Game Rule - Build Jarvis the AI Personal Assistant • Team of less than 9 will play this game. • Build the AI personal assistant prototype • Form a team having all the capabilities • Identify mechanical, electrical devices • Identify high level AI algorithms • List out DevOps culture • Plan deployment @Murughan_P
  22. 22. Evaluation of this game is based on below criteria • AI personal assistant prototype • Organization restructuring • Adopting DevOps Culture • Strategic roadmap • Technology solution @Murughan_P

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