Meet R Systems' Chief Data Scientist at:

Global Data Science Conference, 2018

April 02 — 04, 2018 | Santa Clara, CA

As he speaks on,

“Selling Data Science Projects Internally”

4:10 PM — 4:50 PM | April-04, 2018

Why Attend?

This event provides you an unmatched opportunity to learn game-changing technologies and their business applications—and concrete methodologies to move your company forward from influential business decision makers, strategists, data scientists, developers, and analysts. To understand how you can leverage data science, advanced analytics, machine learning and AI to enable a 360-degree digital transformation of your firm, book a meeting with us today!

1000+

Senior Level Data Experts to Network With

75+

Industry Experts as Speakers

60+

Effective Data Science Sessions

6+

Premium Keynote Session

Keynote Speakers

At Global Data Science Conference, hear from world leading speakers paving the way in the Data Science field. The conference will include inspiring keynotes and practical, information-rich sessions, tutorials, and training courses exploring the latest advances, case studies, and best practices along with numerous networking sessions.

The Agenda

The event provides an interactive format to explore strategies and approaches for driving actionable insights. The attendees will get acquainted with the opportunities existing in the data science realm. The real-world case studies to prove ROI of analytics will help you explore the possibilities, analytics can create for your organization. Attend this event to empower your organization with data-driven decision-making capabilities.

  • General Track: Intelligence at the Edge (Abhijit Thatte, VP Technologies, Aricent
  • Keynote : Deep Learning Article Embedding for Fake News Evaluation (Mike Tamir, Head of Data Science, Uber)
  • Embedding Data Science In Business Decision Making Through Analytic Agents (Kaan Katircioglu, Director, Microsoft)
  • Technical Track: Latent Dirichlet Allocation (Adarsh Nair, Data Scientist, Udacity)
  • Use Case Track: In Session Personalisation For Recommender Systems (Vijay Dialani, Principal Data Scientist, LinkedIn)
  • Technical Track: Multi-Chain Economic Model (Shyam Sarkar, CEO, AyushNet)
  • General Track: A.I. Driven Marketing (Sharad Shandilya, Head of Data Science, Wunderman (WPP)
  • Four Solutions To Mask Any Target PII Columns In Your Data Using SAS Enterprise Guide (Kaiqing Fan, Developer Advocate, PNC Bank)
  • Keynote Technical Track: TensorFlow Lite: How To Accelerate Your Android And IOS App With AI (Kaz Sato, Lead Developer Evangelist, Google)
  • General Track: Enabling Next Generation Analytics With Speed And Agility (Lakshmi randall, VP Marketing, Denodo Technologies)
  • Keynote Panel : Data Science from Investment perspective
  • Aaron Jacobson (Partner, NEA)
  • Technical Track
  • General Track: Creating ROI For AI Or IOT Projects OR AI For Business OR Evolution Of Data Science (Karpagam Narayanan, Founder, eKryp)
  • Afternoon Break
  • Use Case Track: Data Science Use Case (Mark Koss, Director, Expedia)
  • Technical Track: Time-Series Data Analysis In Minutes (Shanti Subramanyam, CEO, Orzota)
  • Keynote Panel : Women in Data Science/AI
  • Use Case Track: Image recognition system for identifying litter across the world (Jacob Eli Thomas, Director, Litterati)
  • Keynote Panel: The Future of Artificial Intelligence
  • Srikanth Victory (Director, Kimberly-Clark)
  • Venu Vasudevan (Director, Proctor & Gamble)
  • Aarthi Srinivasan (Director, Target) – Moderator
  • General Track: Data Science, AI And Ethics – The Moral Lens (Ashwin Krishnan, SVP, Ex-HyTrust)
  • Workshop: How to do analytics at the edge with sensor data
  • Lunch Break
  • Workshop: Enancing NLP with Deep Neural Networks (Luis Serrano, Manager, Udacity)
  • Use Case Track: Utilizing advanced machine learning techniques to reduce bias in promotional decision making (David Rimshnick, Director, Pfizer)
  • Keynote: Applied Machine Learning and Deep Learning use cases in Health Care (Julie Zhu, Director, United Health Group)
  • Break
  • Technical Track : The Architecture Of Decoupling Compute And Storage With Open Source Alluxio (Yupeng Fu, Principal Architect, Alluxio)
  • General Track: Machine Learning, Machine Vision And Robot Vision Will Be At The Top Of Robotics Developers’ Priorities In 2018 (Ali Sina, CEO, FORKaiA)
  • Technical Track: From Latitude & Longitude To Decision Making In 15ms (Peter Lenz, Data Scientist, Dstillery)
  • Lunch Break
  • General Track: Data Science in Technical Recruiting (Sofus Macskassy, VP Data Science, HackerRank)
  • Keynote: Using AI To Provide Insights And Recommendations From Activity Data (Alexis Roos, Director, Salesforce)
  • Workplace IoT: An Opportunity For Improved Personalization, Facilitation And Collaboration (Momin Mirza, Director, Xerox)
  • Use Case Track: Role Of Machine Learning And Sensors In Autonomous Mobility (Faisal Mushtaq, VP Technologies, GlobalLogic)
  • Break
  • R In Azure (Tirthankar Barari, Solution Architect, Microsoft)
  • Use Case Track: Consumer’s Journey Centric Machine Learning & Application To Next Best Action Engagement (Alain Briancon, VP Data Science & Engineering, Cerebri AI)
  • Technical Track: Speed Meets Scale For Predictive Analytics (Aaron Williams, VP, MapD Technologies)
  • Use Case Track: Conversation Graph: Understanding Consumer Sentiment, Messaging Topics, And Content Sharing (Keisuke Inoue, VP Data Science, Emogi Technologies)
  • Keynote Panel: Solving Business Problems With Data Science
  • Srikanth Victory (Director, Kimberly-Clark)
  • General Track/Use Case Track/Technical Track
  • The Economic Impacts Of Data Analytics And IoT (Robert COHEN, Senior Director, Economic Strategy Institute)
  • Getting Started With TensorFlow (Hans Hyttsten, Software Engineer, Google)
  • Lunch Break
  • Workshop : Machine Learning for Healthcare Payer and Provider Orgs (Prasad Saripalli, Vice President of Products, Edifecs)
  • Break
  • Workshop: Machine Learning for Healthcare Payer and Provider Orgs (Prasad Saripalli, Vice President of Products, Edifecs) (Contd..)
  • Registration
  • Use Case Track: When AI Meet Experimentation (Suman Bhattacharya, Senior Data Scientist, Uber)
  • Enterprise Track: Bringing AI Into The Enterprise – The Transformation Has Begun (Randy Dean, VP, Launchpad.AI)
  • Keynote: Enabling GPU Data Science With GoAI (Joshua Patterson, Director, NVIDIA)
  • Enterprise Track: Overcoming The AI Hype — And What Enterprises Should Really Focus On (Robert Hryniewicz, Developer Evangelist, Hortonworks)
  • General Track: AI Strategy And Techniques For CEO, CTO And CIO (Adnan Boz, Founder, Move to AI)
  • Enterprise Track: Building A Modern Enterprise Data Hub (Raymond Collins, Director, Honeywell)
  • AI Use Case (Kamelia Aryafar, Director Data Science, Overstock)
  • General Track: Building Bots And Conversational AI Using Deep Learning (Mitul Tiwari, Chief Technology Officer, Passage AI)
  • Building Intelligent Apps Of The Future By Infusing AI (Tara Jana, Product Management, Microsoft)
  • General Track: Blending Machine Learning With Product Discovery (Sean McClure, Data Scientist, Accenture)
  • Use Case Track: Solving The Last Mile Problem In DIY Data Science (Jesse Paquette, Chief Scientist, Tag.bio)
  • Technical Track: Data Science As A Service (David Glueck, VP Data Science, Sailhtru)
  • Use Case Track: Our Journey To A Modern Data Architecture And Machine Learning Platform (Nadeem Chaudhry, Manager, AutomotiveMastermind Inc.)
  • Technical Track: Leveraging Unsupervised Machine Learning To Understand The RF Model For RSSI Location Based Services (Bob Friday, CTO, Mist Systems)
  • Use Case Track: Blockchain Driven Pervasive Control Framework For Adaptive IoT Integration And Automation In Heterogeneous Cloud Environment (Vikas Shah, Director, Ernst & Young, LLP)
  • Use Case Track: Applying A.I. To Data Security In The Age Of Cloud (Paulo Pereira, CEO, Chiperlex Labs)
  • Use Case Track: Personal Finance In Big Data Era (Besim Ismaili, Founder, ELA AS)
  • General Track: Selling Data Science Projects Internally (Khosrow Hassibi, Chief Data Scientist, R Systems)
  • General Track: Accelerating The AI Adoption With Rapid Development And Deployment (Jeremy Antoniuk, COO, Deep Cognition)
  • Keynote
  • Workshop: How to understand consumer behavior using emotion analysis (Gemma Garcia Lopez, PhD, Stanford University)
  • Workshop: BTC BOT : Using Python To Build A Bitcoin BOT To Buy , Sell BTC (Sudhir Wadhwa, CTO, Viridis)
  • Workshop: Blockchain Workshop (Bhairav Mehta, Manager, Apple)
  • Workshop: Blockchain Workshop (Bhairav Mehta, Manager, Apple)(Contd..)
+ Day 01
  • General Track: Intelligence at the Edge (Abhijit Thatte, VP Technologies, Aricent
  • Keynote : Deep Learning Article Embedding for Fake News Evaluation (Mike Tamir, Head of Data Science, Uber)
  • Embedding Data Science In Business Decision Making Through Analytic Agents (Kaan Katircioglu, Director, Microsoft)
  • Technical Track: Latent Dirichlet Allocation (Adarsh Nair, Data Scientist, Udacity)
  • Use Case Track: In Session Personalisation For Recommender Systems (Vijay Dialani, Principal Data Scientist, LinkedIn)
  • Technical Track: Multi-Chain Economic Model (Shyam Sarkar, CEO, AyushNet)
  • General Track: A.I. Driven Marketing (Sharad Shandilya, Head of Data Science, Wunderman (WPP)
  • Four Solutions To Mask Any Target PII Columns In Your Data Using SAS Enterprise Guide (Kaiqing Fan, Developer Advocate, PNC Bank)
  • Keynote Technical Track: TensorFlow Lite: How To Accelerate Your Android And IOS App With AI (Kaz Sato, Lead Developer Evangelist, Google)
  • General Track: Enabling Next Generation Analytics With Speed And Agility (Lakshmi randall, VP Marketing, Denodo Technologies)
  • Keynote Panel : Data Science from Investment perspective
  • Aaron Jacobson (Partner, NEA)
  • Technical Track
  • General Track: Creating ROI For AI Or IOT Projects OR AI For Business OR Evolution Of Data Science (Karpagam Narayanan, Founder, eKryp)
  • Afternoon Break
  • Use Case Track: Data Science Use Case (Mark Koss, Director, Expedia)
  • Technical Track: Time-Series Data Analysis In Minutes (Shanti Subramanyam, CEO, Orzota)
  • Keynote Panel : Women in Data Science/AI
  • Use Case Track: Image recognition system for identifying litter across the world (Jacob Eli Thomas, Director, Litterati)
  • Keynote Panel: The Future of Artificial Intelligence
  • Srikanth Victory (Director, Kimberly-Clark)
  • Venu Vasudevan (Director, Proctor & Gamble)
  • Aarthi Srinivasan (Director, Target) – Moderator
  • General Track: Data Science, AI And Ethics – The Moral Lens (Ashwin Krishnan, SVP, Ex-HyTrust)
  • Workshop: How to do analytics at the edge with sensor data
  • Lunch Break
  • Workshop: Enancing NLP with Deep Neural Networks (Luis Serrano, Manager, Udacity)
+ Day 02
  • Use Case Track: Utilizing advanced machine learning techniques to reduce bias in promotional decision making (David Rimshnick, Director, Pfizer)
  • Keynote: Applied Machine Learning and Deep Learning use cases in Health Care (Julie Zhu, Director, United Health Group)
  • Break
  • Technical Track : The Architecture Of Decoupling Compute And Storage With Open Source Alluxio (Yupeng Fu, Principal Architect, Alluxio)
  • General Track: Machine Learning, Machine Vision And Robot Vision Will Be At The Top Of Robotics Developers’ Priorities In 2018 (Ali Sina, CEO, FORKaiA)
  • Technical Track: From Latitude & Longitude To Decision Making In 15ms (Peter Lenz, Data Scientist, Dstillery)
  • Lunch Break
  • General Track: Data Science in Technical Recruiting (Sofus Macskassy, VP Data Science, HackerRank)
  • Keynote: Using AI To Provide Insights And Recommendations From Activity Data (Alexis Roos, Director, Salesforce)
  • Workplace IoT: An Opportunity For Improved Personalization, Facilitation And Collaboration (Momin Mirza, Director, Xerox)
  • Use Case Track: Role Of Machine Learning And Sensors In Autonomous Mobility (Faisal Mushtaq, VP Technologies, GlobalLogic)
  • Break
  • R In Azure (Tirthankar Barari, Solution Architect, Microsoft)
  • Use Case Track: Consumer’s Journey Centric Machine Learning & Application To Next Best Action Engagement (Alain Briancon, VP Data Science & Engineering, Cerebri AI)
  • Technical Track: Speed Meets Scale For Predictive Analytics (Aaron Williams, VP, MapD Technologies)
  • Use Case Track: Conversation Graph: Understanding Consumer Sentiment, Messaging Topics, And Content Sharing (Keisuke Inoue, VP Data Science, Emogi Technologies)
  • Keynote Panel: Solving Business Problems With Data Science
  • Srikanth Victory (Director, Kimberly-Clark)
  • General Track/Use Case Track/Technical Track
  • The Economic Impacts Of Data Analytics And IoT (Robert COHEN, Senior Director, Economic Strategy Institute)
  • Getting Started With TensorFlow (Hans Hyttsten, Software Engineer, Google)
  • Lunch Break
  • Workshop : Machine Learning for Healthcare Payer and Provider Orgs (Prasad Saripalli, Vice President of Products, Edifecs)
  • Break
  • Workshop: Machine Learning for Healthcare Payer and Provider Orgs (Prasad Saripalli, Vice President of Products, Edifecs) (Contd..)
+ Day 3
  • Registration
  • Use Case Track: When AI Meet Experimentation (Suman Bhattacharya, Senior Data Scientist, Uber)
  • Enterprise Track: Bringing AI Into The Enterprise – The Transformation Has Begun (Randy Dean, VP, Launchpad.AI)
  • Keynote: Enabling GPU Data Science With GoAI (Joshua Patterson, Director, NVIDIA)
  • Enterprise Track: Overcoming The AI Hype — And What Enterprises Should Really Focus On (Robert Hryniewicz, Developer Evangelist, Hortonworks)
  • General Track: AI Strategy And Techniques For CEO, CTO And CIO (Adnan Boz, Founder, Move to AI)
  • Enterprise Track: Building A Modern Enterprise Data Hub (Raymond Collins, Director, Honeywell)
  • AI Use Case (Kamelia Aryafar, Director Data Science, Overstock)
  • General Track: Building Bots And Conversational AI Using Deep Learning (Mitul Tiwari, Chief Technology Officer, Passage AI)
  • Building Intelligent Apps Of The Future By Infusing AI (Tara Jana, Product Management, Microsoft)
  • General Track: Blending Machine Learning With Product Discovery (Sean McClure, Data Scientist, Accenture)
  • Use Case Track: Solving The Last Mile Problem In DIY Data Science (Jesse Paquette, Chief Scientist, Tag.bio)
  • Technical Track: Data Science As A Service (David Glueck, VP Data Science, Sailhtru)
  • Use Case Track: Our Journey To A Modern Data Architecture And Machine Learning Platform (Nadeem Chaudhry, Manager, AutomotiveMastermind Inc.)
  • Technical Track: Leveraging Unsupervised Machine Learning To Understand The RF Model For RSSI Location Based Services (Bob Friday, CTO, Mist Systems)
  • Use Case Track: Blockchain Driven Pervasive Control Framework For Adaptive IoT Integration And Automation In Heterogeneous Cloud Environment (Vikas Shah, Director, Ernst & Young, LLP)
  • Use Case Track: Applying A.I. To Data Security In The Age Of Cloud (Paulo Pereira, CEO, Chiperlex Labs)
  • Use Case Track: Personal Finance In Big Data Era (Besim Ismaili, Founder, ELA AS)
  • General Track: Selling Data Science Projects Internally (Khosrow Hassibi, Chief Data Scientist, R Systems)
  • General Track: Accelerating The AI Adoption With Rapid Development And Deployment (Jeremy Antoniuk, COO, Deep Cognition)
  • Keynote
  • Workshop: How to understand consumer behavior using emotion analysis (Gemma Garcia Lopez, PhD, Stanford University)
  • Workshop: BTC BOT : Using Python To Build A Bitcoin BOT To Buy , Sell BTC (Sudhir Wadhwa, CTO, Viridis)
  • Workshop: Blockchain Workshop (Bhairav Mehta, Manager, Apple)
  • Workshop: Blockchain Workshop (Bhairav Mehta, Manager, Apple)(Contd..)

R Systems Analytics

R Systems Analytics helps clients uncover actionable insights to drive competitive advantage and capture business value. We help organizations integrate and operationalize data analytics solutions, enabling them to gain visibility into previously opaque or hard to measure processes. This empowers our clients to make smarter business decisions.

Our team of data analysts/ experts, consultants and data scientists leverage proven analytics methodologies, best practices and tools to define the right analytics solutions for you, that solve complex business challenges and drive future growth.

I would like to Meet R Systems’ Data Experts