TCS Point of View Session - Analyze by Dr. Gautam Shroff, VP and Chief Scientist, TCS

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If insights are available from mass amounts of data, you require enormous agility across business units to act on these. Understand how your peers tackle such problems and what new approaches are available to businesses.

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TCS Point of View Session - Analyze by Dr. Gautam Shroff, VP and Chief Scientist, TCS

  1. 1. 643 Companies (83% > $1B), 12 Industries
  2. 2. 643 Companies (83% > $1B), 12 Industries
  3. 3. 643 Companies (83% > $1B), 12 Industries
  4. 4.            
  5. 5. Drive to take more actions/decisions in presence of more information and less time Evolution of Enterprise Analytics Isolation: What has happened? In-time: What is happening? Integration: Why has it happened? Intelligence: What will happen? What are others saying? Information: Harnessing Knowledge
  6. 6. “any fool can know … the point is to understand.” - Albert Einsteinand … the goal of understanding is to predict Reactive Intelligence Predictive Intelligence *courtesy Pawan Sinha, MIT
  7. 7. “any fool can know … the point is to understand.” - Albert Einsteinand … the goal of understanding is to predict Reactive Intelligence Predictive Intelligence *courtesy Pawan Sinha, MIT
  8. 8. “any fool can know … the point is to understand.” - Albert Einsteinand … the goal of understanding is to predict Reactive Intelligence Predictive Intelligence *courtesy Pawan Sinha, MIT
  9. 9. sampling P(X) manually => infinite time / infinite # people! m attributes, each with d possible values: O(d2m) ‘cubes’ for m=40, d=10 this becomes 1080 > # atoms in the universe so – BI folks need to learn analytics Customers( x1… xm) Big Data is about ‘wide’ data
  10. 10. Random-access to data is poor, even in memory! Map-reduce based procedures exploit this. network speed distributed processing works in-memory DB no panacea
  11. 11. POV 1 : Big Data is here to stay and will be an increasingly significant arena of competitive differentiation POV 2 : There are two fundamental aspects to Big Data : Harnessing: The Technology required to Manage Big Data and Harvesting : The Technology required to analyze and derive insight from Big Data. POV 3 : Big Data Technology Platform can solve traditional Data Problems as well and is not limited by the use of Big Data itself. POV 4 : The current innovation landscape is vast, varied with multiple products and offerings. We can expect natural Consolidation in next 2-5 years. POV 5 : Unstructured Data cannot be consumed in its raw form. It is essential to convert it into consumable structured form for useful interpretation POV 6 : Fusion of Unstructured and Structured Information is creating the need for a new science stream: Data Science which requires both Business context and Hard Science POV 7 : Big data is in the incubation Phase for most of the organizations. Only the likes of Google, Yahoo, Amazon, Facebook are matured adopters. POV 8 : Enterprises will have to undergo business process adjustments / redefinition both for upstream and downstream connect (consumption) on big data, i.e. harnessing and harvesting
  12. 12.  Event Detection Engine  Data Harmonisation  Causal Analytics Framework  Topic Evolution in News  Email Mining …  Sensor Pattern Matching  Sensor Data Motif Discovery  Temporal Event/Sensor Rules  Geo-Spatio-Temporal Patterns/Motifs/Rules  Sensor-stream Databases  Collective Entity Resolution  Relationship Discovery  Searching Linked-open-data  Federated Object Discovery
  13. 13. TCS Big Data Accelerators Sentiment Analysis, Social Media Adaptors, Data Connectors, Video Analytics, Utiliti es TCS Active Archival Archival using Hadoop storage. Abundant space. Warm data TCS Meta Data Manager Searchable platform to manage the metadata of Hadoop data across clusters TCS Data Migration Tool Fast, secure data movement in/out of Hadoop from any source (m/f, oracle etc.) TCS Sensor Data Analytics Receive, store and analyze any type of sensor / log data TCS Perigon™ Provide a confluence of customer data and analytics using enterprise as well as social data (Customer 360 view)
  14. 14. Let’s Innovate Together Corporate Technology Organization CTO.Evangelize@tcs.com

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