Great new technologies that can Radically Transform your business!

Transcription

1 Big Data, Artificial Intelligence, Robotics, Machine Learning: Great new technologies that can Radically Transform your business! Dr. Sreerama KV Murthy CEO & Chief Data Scientist, Quadratyx 12 th September 2017, Bogota

2 Three key take-aways of this seminar: 1. Computing Technology is fundamentally changing. Software, hardware, IT, programming, GUI, OS, Databases,

3 Three key take-aways: 2. Every area of human endeavour will be massively impacted. Business, Government, Service, Education, Healthcare, Financial,

4 Three key take-aways: 3. Your business can benefit Here & Now! Those embracing the change are reaping rich benefits, world-wide.

5 1. Computing technology is radically changing Jargon-free introduction to Artificial Intelligence, Machine Learning, Robotic Process Automation, Big Data, Deep Learning, IOT, Cognitive Computing, Structure of this symposium 2. Impact is across all spheres of human endeavour Real use cases from multiple industry verticals worldwide Agriculture, Banking, Communication, Education, Government, Healthcare, Hospitality, IT, Logistics, 3. How to adopt the change here & now Steps of implementation, pitfalls and precautions, getting things done in low cost with clearly measurable ROI, getting things done locally

6 Computing is fundamentally changing. Section 1

7 Can your IT department do this? Write software to record all sales. Report profitability by item. This problem can be answered by a step-by-step calculation.

8 Can your IT department do this? Write software to predict items that will have the least sales next week. Suggest the best way to increase sales. This problem can only be answered through business experience, and by studying a lot of past data.

9 Step-by-step computation versus data-driven decision making Write a program to calculate total distances travelled by every mega bus route, and its fuel requirements. Vs. Write a program to predict what bus routes will be most expensive to run for the city next year (based on expected traffic, load, road conditions, etc).

10 Data Driven Decision Making - Advantages More accurate Calculations may make assumptions. Directly Relevant - Based on true observations, not theories Tailored Conclusions uniquely fit your present data Adaptive Gets refined automatically as data changes Less prone to human error Less chances of human brilliance also! Less costly to make and maintain Same methods/tools can solve multiple problems.

11 The AI Revolution

12 Video Trailer: The Human Face of Big Data

13 Questions Please

14 Data Science Artificial Intelligence Systems that exhibit intelligence akin to that of living things Statistics & Mathematical Data Analysis Machine Learning Building selfimproving systems Advanced Analytics (Descriptive, Predictive, Prescriptive) Human-like Interfaces (Speech, Vision, Auditory, Printed Docs, Natural Language, Tactile, Smell) Other AI Technologies Theorem proving, Planning, Game Playing, Multi-agent Systems, Qualitative Physics, Intuition / Imagination Deep Learning Big Data Technologies to cheaply & reliably store & parallel-process high volume, high variety and high velocity data

15 Big Data has a lot of Unstructured Data

16 Orders of Magnitude Name (Symbol) SI decimal prefixes Multiples of bytes Value Binary usage kilobyte (kb) megabyte (MB) gigabyte (GB) terabyte (TB) petabyte (PB) exabyte (EB) zettabyte (ZB) yottabyte (YB)

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19 External Factors Why Big Data? New varieties of data Internal Factors Data size growing Data at high speed Why & When do companies move to Big Data? Source of competitive advantage Other Considerations Connect scattered data sources for insight Avoid Vendor Lock-in Lower TCO Harvest data that is thrown away now Move to Open Source. Minimize licensing

20 Big Data Evolution Computing Evolutions Big Data Real Time Transactional Scenario Analysis, What-if Business Layer Interactive BI & Dashboards Prescriptive: What can I do about it? Iterative MIS Reports Predictive: What will happen? Batch Descriptive: What happened?

21 Computing Evolutions Big Data (contd.) Tech Layer AI & Deep Learning Machine Learning Statistics Loosely Coupled Ecosystems Proprietary OR supported Open Source Open Source Data Lakes Data Warehouses Databases & Data marts Tightly Coupled Technology Stacks

22 Methods in Big Data Analytics

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24 age income student credit_rating buys_computer <=30 high no fair no <=30 high no excellent no high no fair yes >40 medium no fair yes >40 low yes fair yes >40 low yes excellent no low yes excellent yes <=30 medium no fair no <=30 low yes fair yes >40 medium yes fair yes <=30 medium yes excellent yes medium no excellent yes high yes fair 24 yes >40 medium no excellent no

25 A decision tree age? <=30 overcast >40 student? yes credit rating? no yes excellent fair no yes yes 25

26 Forecasting Yield (profit/acre) of a seed as a function of altitude

27 Prediction and forecasting

28 Classification

29 Classification; Unsupervised Clustering

30 Making Predictions Through Causality

31 Optimization e.g., A manufacturer has fixed amounts of different resources such as raw material, labor, and equipment. These resources can be combined to produce any one of several different products. The quantity of the i th resource required to produce one unit of the j th product is known. The decision maker wishes to produce the combination of products that will maximize total income.

32 Simulation I want to price a home insurance product. The inflation may change between 5-8%. People may opt for years of maturity. The defaults may be 1-3%. There may be 2-4% of the cases, where we may need to make the payouts. How much should the pricing be?

33 Questions Please

34 Synopsis of Key Hadoop Vendors Pure play Hadoop vendors: Cloudera, Hortonworks, MapR, IBM OpenPlatform, Huawei FusionInsight, Seabox, Transwarp Cloud infrastructure as a service (IaaS): Hadoop on AWS, Hadoop on Azure Platform as a service (PaaS): IBM BigInsights, Microsoft HDInsight, Google Cloud Platform, Amazon EMR, Oracle Big Data Cloud Service, Qubole Big Data Appliances: Teradata, Oracle Big Data Appliance, Cray

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36 Section 1: Computing is fundamentally changing. All aspects of business are being impacted. Section 2

37 BIG DATA & ADVANCED ANALYTICS products & solutions are APPLICABLE ACROSS DOMAINS RETAIL BANKING & FINANCIAL HOSPITALITY PHARMACEUTICA AVIATION L HEALTHCARE OIL & GAS CPG AGRICULTURE SUPPLY CHAIN WEB ANALYTICS MARKETING ANALYTICS MULTIMEDIA ANALYTICS

38 Pre-packaged Vertical-agnostic Products Each product is deployed on live client locations delivering significant ROI

39 Some of our esteemed clients Copyright 2016, Quadratic Insights Private Limited.

40 Corporate Training in Colombia through Product Video

41 Questions Please

42 Thank you! Questions & Discussion In any complicated system, making decisions without accurate data can lead to decisions that are worse than random. Hans Rosling The problem is not ignorance. The problem is preconceived ideas.