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Big Data & AI Revolution
© 2017 Marlabs - Confidential
Time to Reach 50 Million Users
• Instagram: 6 months
• Radio: 38 years
• Television: 13 years
• Internet: 4 years
• Facebook: 3.5 years
• Twitter: 9 months
Source: Bund Leger: 20 Fresh Mobile Threats
• Pokémon GO: 19 days
Our view on technology-driven Digital Transformation
Internal Focus
External
Focus
Digitize Processes
Revenue
Profit Margin
Digitize
Channels
Digitize Marketing
Digitalize
Operations
Digital
Business
Digital
Transformation
Cloud
Analytics/
Big Data
Big & Thick
Data Analytics
“Connected
Everything”
Mobile
leveraging…
Digital Business transforms enterprise processes and marketing channels
leveraging various platforms and technologies
Analytics
Digital impact on customer relationships
Customer
Relationship
Management
Customer
Experience
Management
Customer
Intent
Management
Voice Revolution will fuel next AI ….
Digital impact on enterprises
Breaking
Boundaries
Disruption
New Business
Models
Data will be the new Oil……
Business Drivers
Security & Trust
Social, Mobile, Analytics, Cloud, Big Data & IoT, AI, Robotics & Automation
Digital Transformation/Digitalization
Growth/Revenue
New Business
Avenues
New Business Model
Digitalization of
Business
Savings $$$
Operational
Excellence
Digital products
Customer
Loyalty/Trust
Customer
Experience
Marlabs framework for digital transformation
Digital Connect
Access to Big Data
Digital Decisions Digital InnovationDigital Automation
Basic use of Big Data Advanced use of Big
Data
Futuristic use of Big
Data
SAP Hana
Salesforce
User experience
Mobility
Omnichannel
Cloud security
Social
Digital commerce
Foundational
Analytics
Predictive
analytics
Predictive
analytics
Visualization
Visualization
Chatbots
IoT
AI
AR/VR
NLP
Machine
Learning
Key Technologies that enabled the AI Revolution
Open source
Projects
Initiative of the
Giants
Interesting Start Ups Confidence to
embrace new
technologies
• Open Source Projects & Frameworks
– Hadoop, Spark, Kafka
– OpenNLP, Standford NLP
• Big Push by Giants
– IBM Watson, MS Cortana, Google Tensorflow, Amazon
Alexa & Echo, Apple Siri
– Azure, AWS, BlueMix, Google Cloud
• Interesting Start Ups
– Palantir
– Beyondcore (now Einstein)
– Turi (now Apple)
• Confidence to embrace new technologies
– Algorithmic Trading by GS
– Robo Advisors for Wealth Management
– Cognitive Assistants for Doctors
mAdvisor is an automated machine reasoning platform that
translates data from enterprise systems into meaningful insights in the
form of narratives without any manual intervention
Possibilities
mAdvisor – AI & Cognitive Computing Platform
Based on AI & Cognitive Computing Technologies
✓ Ability to comprehend and monetize Big Data
✓ Rapid time to insights
✓ No dependency on data scientists & analysts to create briefs
✓ Rapid development of intuitive & scalable cognitive apps
✓ Expandable and scalable to adoption of new use cases
Machine learning Narrative Generation
Expert Rule System Deep Learning
Industries
Apps Platform Components
Platform Services
Data Lake Structured and Unstructured Data Storage
Financial Services Technology Utilities Retail/CPG
Automated Data Discovery
Narratives for BI
Churn Prediction Forecasting Wealth Management
IOT Analytics CRM Analytics
Tooling
Assemble
Train
Validate
Deploy
Admin
Specialities
Natural Language
Machine Learning
Deep Learning
Rules Engine
Classification | Segmentation | Prediction | Forecasting
Anomaly Detection | Association | Recommendation
Foundations Big data and analytics capabilities that fuel mAdvisor
Environment Azure | AWS | On Premise
mAdvisor – Functional Architecture
AI & Big Data Success Stories
• Prediction of In Flight Food Consumption for one of the worlds largest Flight Catering
Firm over 2000 Routes & 20+ Product Categories
• Extraction of Key Signals from Research Reports and Emails to analyse stock performance
for one of the leading wealth management firm
• Automated Monitoring and Prediction of Inventory Levels in Labs for one of the world’s
largest Life Sciences Firm
• Big Data De Identification for a leading healthcare firm collecting data from more than
10000 hospitals
Thank You

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Mahesh Eswar, Chief Revenue Officer at Marlabs, speaks at NJTC event, 'Breakfast Bytes'

  • 1. Big Data & AI Revolution © 2017 Marlabs - Confidential
  • 2. Time to Reach 50 Million Users • Instagram: 6 months • Radio: 38 years • Television: 13 years • Internet: 4 years • Facebook: 3.5 years • Twitter: 9 months Source: Bund Leger: 20 Fresh Mobile Threats • Pokémon GO: 19 days
  • 3. Our view on technology-driven Digital Transformation Internal Focus External Focus Digitize Processes Revenue Profit Margin Digitize Channels Digitize Marketing Digitalize Operations Digital Business Digital Transformation Cloud Analytics/ Big Data Big & Thick Data Analytics “Connected Everything” Mobile leveraging… Digital Business transforms enterprise processes and marketing channels leveraging various platforms and technologies Analytics
  • 4. Digital impact on customer relationships Customer Relationship Management Customer Experience Management Customer Intent Management Voice Revolution will fuel next AI ….
  • 5. Digital impact on enterprises Breaking Boundaries Disruption New Business Models Data will be the new Oil……
  • 6. Business Drivers Security & Trust Social, Mobile, Analytics, Cloud, Big Data & IoT, AI, Robotics & Automation Digital Transformation/Digitalization Growth/Revenue New Business Avenues New Business Model Digitalization of Business Savings $$$ Operational Excellence Digital products Customer Loyalty/Trust Customer Experience
  • 7. Marlabs framework for digital transformation Digital Connect Access to Big Data Digital Decisions Digital InnovationDigital Automation Basic use of Big Data Advanced use of Big Data Futuristic use of Big Data SAP Hana Salesforce User experience Mobility Omnichannel Cloud security Social Digital commerce Foundational Analytics Predictive analytics Predictive analytics Visualization Visualization Chatbots IoT AI AR/VR NLP Machine Learning
  • 8. Key Technologies that enabled the AI Revolution Open source Projects Initiative of the Giants Interesting Start Ups Confidence to embrace new technologies • Open Source Projects & Frameworks – Hadoop, Spark, Kafka – OpenNLP, Standford NLP • Big Push by Giants – IBM Watson, MS Cortana, Google Tensorflow, Amazon Alexa & Echo, Apple Siri – Azure, AWS, BlueMix, Google Cloud • Interesting Start Ups – Palantir – Beyondcore (now Einstein) – Turi (now Apple) • Confidence to embrace new technologies – Algorithmic Trading by GS – Robo Advisors for Wealth Management – Cognitive Assistants for Doctors
  • 9. mAdvisor is an automated machine reasoning platform that translates data from enterprise systems into meaningful insights in the form of narratives without any manual intervention Possibilities mAdvisor – AI & Cognitive Computing Platform Based on AI & Cognitive Computing Technologies ✓ Ability to comprehend and monetize Big Data ✓ Rapid time to insights ✓ No dependency on data scientists & analysts to create briefs ✓ Rapid development of intuitive & scalable cognitive apps ✓ Expandable and scalable to adoption of new use cases Machine learning Narrative Generation Expert Rule System Deep Learning
  • 10. Industries Apps Platform Components Platform Services Data Lake Structured and Unstructured Data Storage Financial Services Technology Utilities Retail/CPG Automated Data Discovery Narratives for BI Churn Prediction Forecasting Wealth Management IOT Analytics CRM Analytics Tooling Assemble Train Validate Deploy Admin Specialities Natural Language Machine Learning Deep Learning Rules Engine Classification | Segmentation | Prediction | Forecasting Anomaly Detection | Association | Recommendation Foundations Big data and analytics capabilities that fuel mAdvisor Environment Azure | AWS | On Premise mAdvisor – Functional Architecture
  • 11. AI & Big Data Success Stories • Prediction of In Flight Food Consumption for one of the worlds largest Flight Catering Firm over 2000 Routes & 20+ Product Categories • Extraction of Key Signals from Research Reports and Emails to analyse stock performance for one of the leading wealth management firm • Automated Monitoring and Prediction of Inventory Levels in Labs for one of the world’s largest Life Sciences Firm • Big Data De Identification for a leading healthcare firm collecting data from more than 10000 hospitals