Mahesh Eswar, Chief Revenue Officer at Marlabs, was the speaker at Breakfast Bytes, an NJTC event held at the Marlabs corporate offices in Piscataway, NJ. His presentation was titled: “The Big Data and AI revolution.” In an engaging and insightful discussion, Mahesh talked about the Marlabs framework for stepping up digital transformation, the role of big data and AI, and Marlabs’ AI & Cognitive Computing Platform -- mAdvisor. Using everyday examples, Mahesh brought what can sometimes be fairly abstruse topics into clear, vivid focus. The feedback was overwhelmingly positive, attendees said they learned a lot about these technologies. http://www.marlabs.com/mahesh-eswar-chief-revenue-officer-marlabs-speaks-njtc-event
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