Google Cloud: Build What's Next
- 2. Confidential & Proprietary 2 Build What’s Next Mohit Pande @ Location Intelligence Conference - 2017
- 3. Confidential & Proprietary 3 450M Internet Users 230M Indian Language Users Online 170M Using messaging services 106M Indians consume news online 225M Indian smartphone users are using YouTube every month India
- 4. Confidential & Proprietary 4 >> Transport
- 5. Confidential & Proprietary 5 >> Entertainment
- 6. Confidential & Proprietary 6 >> Hospitality
- 7. Confidential & Proprietary 7 >> Banking
- 8. Confidential & Proprietary 8 >> Education Tution classes
- 10. Confidential + Proprietary Mega trends in Digital Google: Ecosystem Initiatives Local language gaining prominence Mobile core to Payments Online Video is thriving Online shoppers growing significantly
- 11. Proprietary + Confidential of CEOs see technology change as the #1 external force that could most impact their organization over the next 3-5 years 71% Source: IBM Global CEO study
- 12. 75 years 1957 2003 2016 25 years 10 years Average age of a company joining the S&P 500
- 13. 2010 Individual Productivity Data in silos on premise, hard to access, analyze, and use Productivity tools built for individual, local usage Aggregated data stored in cloud, with global query Machine learning combined with “trained” data drives deep, actionable insights Secure, open, container based applications & microservices Collaborative, cloud-based productivity applications 2020 Collective Intelligence Enterprises are experiencing a Digital Transformation
- 14. The Digital Advantage Source: Capgemini & MIT Sloan Management Review, The Digital Advantage: How Digital Leaders Outperform Their Peers In Every Industry Revenue Profitability Market Valuation +9% +26% +12% In a 2 year study of 400 large firms - digitally mature companies outperform their competitors.
- 15. BigData Internet of Things This is just the beginning. What does this new tech mean for existing businesses? Artificial Intelligence Machine Learning
- 16. Confidential & Proprietary 16Confidential & Proprietary 16 Every company is, or will become, a data company.
- 17. Confidential & Proprietary 17Confidential & Proprietary 17 Data companies are 3x more likely to report significant improvement in decision-making, which is needed to lead through digital disruption. Source: https://www.slideshare.net/Chief_Data_Officer_Forum/dan-difilippo-pwc-at-the-chief-analytics-forum-officer-west-coast
- 18. Confidential & Proprietary 18 Data Challenges Confidential & Proprietary 18 11010101 0100101 1011101 0111100 10001101 Legacy Applications Regulatory Environment Changing View on Value of Data Limited Skills, Hard to Recruit Data Silos Everywhere
- 19. Confidential & Proprietary 19 When you can’t figure out HOW to integrate, manage and use your big data, you miss out on WHAT it can do for you Less than 50% of structured data is used to make decisions* <50%<1% Less than 1% of unstructured data is analyzed or used at all*
- 20. Typical Data & Analytics ● Difficult to deploy & maintain ● Too much time spent taking care of the system ● Not enough time spent getting insights Insights Programming Maintenance Monitoring Handling Scale Perf Tuning
- 21. FIve Things to Look for in an Enterprise Cloud Provider Cloud Data & Analytics ● Focus on insights, not infrastructure ● From batch to streaming ● Analytics, Transactions, and Data Warehousing. Programming Insights
- 22. “Building on Google’s data infrastructure provides us with a significant advantage where it matters the most.” 3x Faster processing time at 30% cheaper costs. Migrated entire infrastructure to GCP in 60 days.
- 23. High quality datasets Lots of compute Powerful tools Keys to successful Machine Learning
- 24. Machine Learning is made for cloud
- 25. Use Our Models Leverage Google’s investment with pre-trained models No tools or expertise required Train Your Own Build on your own specialized domain expertise Use Google tools for building and training models Machine Learning with Cloud OR
- 26. Machine Learning and Big Data for Regulatory and Operations Reporters use Google Cloud Translation to capture and document interviews and source material for articles
- 27. Machine Learning helped reduce error rates from 11% to 3% in the critical process of correcting satellite image maps Snow or Clouds?
- 28. Google DC Ops 40% reduction in cooling energy in Google datacenters.
- 30. Confidential & Proprietary 30 The cloud is a paradigm shift for your business. Let we help you maximize your business potential thru software intelligence to help you grow 10x
- 31. The TIME is NOW