SlideShare a Scribd company logo
1 of 19
Autonomous Discovery
    the future interface?


                              predictive computing
                            anticipatory computing
                            engineered serendipity
                                                …
Dinesh Vadhia
Founder/engineer at autonomous discovery startup
www.xyggy.com. Previously, senior product management roles
at Oracle and Sun in Silicon Valley and UK, with many years of
software engineering first.

Closely work with Professor Zoubin Ghahramani at Cambridge
University. One of the founding fathers of Bayesian machine
learning methods.

          dinesh@xyggy.com, @DineshVadhia
The Autonomous Age
Probabilistic robots

Commercial unmanned aerial vehicles

Self-driving cars
Autonomous Discovery
Discover new things without doing
anything

Convenience does matter

> Keyword search volume? Probably
Undefined Intent
Search intent defined by keywords

Autonomous discovery has undefined
intent

Window-shopping analogy
New Bayesian ML Algorithm
Deals with things only

Data finds data

Item(s) per query
Feature Engineering
Things defined by features

Can mix multiple feature classes,
including high- & low-level, unstructured
& structured text, ratings, relevance,
context and so on
Dynamic
No training

Dynamic predictions and ranking

Relevance feedback
                           0.85634
                           0.83678
                           0.68321
                           0.59142
Scalability
Sparsity

IR + RecSys

Scalability
Autonomous Discovery


I am the query
I Am the Query
Given data about me, find new things I will
like.

If I like a thing, find more like it, or remove
this thing and others like it.

Hit me with some serendipity.
Quick Look




            technology showcase.
   autonomously discovers games and apps.
          android only. free. ad free.
~300,000 apps, ~500,000 element feature vector.
                    Xyggy
Xyggy App Usage
Autonomously discovers new         Discover by Games or Apps
games and apps.                    categories, and Paid or Free.

Learns what you like.              Touch dice to take a chance
                                   with serendipity
No search box. No keyword
search.                            To install an app you like,
                                   touch its icon to go to the App
If you like a game or app, find    Store.
more (+) like it.
                                   Start-over with restart (o) at
If you don't like an app,          anytime.
remove (-) it and others like it
go away too.
Last But One
Data privacy

Digital doppelganger

Cold-Start Data: Help us spread the word to get more
Xyggy app installs so that collective intelligence kicks-in for even
better results. The app is free and ad-free. Directions to install
the app are at Xyggy. Thank-you!
A Must for ML Practitioners


"A few useful things to know
  about machine learning"
                                               Pedro Domingos
               Department of Computer Science and Engineering
                                      University of Washington

More Related Content

Viewers also liked

LA TECNOLOGIA COMO APOYO EN EL PROCESO ENSEÑANZA-APRENDIZAJE
LA TECNOLOGIA COMO APOYO EN EL PROCESO ENSEÑANZA-APRENDIZAJELA TECNOLOGIA COMO APOYO EN EL PROCESO ENSEÑANZA-APRENDIZAJE
LA TECNOLOGIA COMO APOYO EN EL PROCESO ENSEÑANZA-APRENDIZAJEsuperveromena
 
(Inter)national Facades: International Facade Master: WHY? by Arie Bergsma (2...
(Inter)national Facades: International Facade Master: WHY? by Arie Bergsma (2...(Inter)national Facades: International Facade Master: WHY? by Arie Bergsma (2...
(Inter)national Facades: International Facade Master: WHY? by Arie Bergsma (2...Jasper Moelker
 
Super-Fast Clustering Report in MapR
Super-Fast Clustering Report in MapRSuper-Fast Clustering Report in MapR
Super-Fast Clustering Report in MapRData Science London
 
PetersonSierra_Interface_SustainabilityPoster
PetersonSierra_Interface_SustainabilityPosterPetersonSierra_Interface_SustainabilityPoster
PetersonSierra_Interface_SustainabilityPosterSierra Peterson
 
Lines and angles ( Class 6-7 )
Lines and angles ( Class 6-7 )Lines and angles ( Class 6-7 )
Lines and angles ( Class 6-7 )romilkharia
 
Solucionario del primer examen con ingreso directo de la PRE SAN MARCOS ciclo...
Solucionario del primer examen con ingreso directo de la PRE SAN MARCOS ciclo...Solucionario del primer examen con ingreso directo de la PRE SAN MARCOS ciclo...
Solucionario del primer examen con ingreso directo de la PRE SAN MARCOS ciclo...Mery Lucy Flores M.
 

Viewers also liked (12)

LA TECNOLOGIA COMO APOYO EN EL PROCESO ENSEÑANZA-APRENDIZAJE
LA TECNOLOGIA COMO APOYO EN EL PROCESO ENSEÑANZA-APRENDIZAJELA TECNOLOGIA COMO APOYO EN EL PROCESO ENSEÑANZA-APRENDIZAJE
LA TECNOLOGIA COMO APOYO EN EL PROCESO ENSEÑANZA-APRENDIZAJE
 
Research at last.fm
Research at last.fmResearch at last.fm
Research at last.fm
 
M2 actividad2 10
M2 actividad2 10M2 actividad2 10
M2 actividad2 10
 
Gradle_ToursJUG
Gradle_ToursJUGGradle_ToursJUG
Gradle_ToursJUG
 
Sarwat Jahan_cv
Sarwat Jahan_cvSarwat Jahan_cv
Sarwat Jahan_cv
 
(Inter)national Facades: International Facade Master: WHY? by Arie Bergsma (2...
(Inter)national Facades: International Facade Master: WHY? by Arie Bergsma (2...(Inter)national Facades: International Facade Master: WHY? by Arie Bergsma (2...
(Inter)national Facades: International Facade Master: WHY? by Arie Bergsma (2...
 
Super-Fast Clustering Report in MapR
Super-Fast Clustering Report in MapRSuper-Fast Clustering Report in MapR
Super-Fast Clustering Report in MapR
 
PetersonSierra_Interface_SustainabilityPoster
PetersonSierra_Interface_SustainabilityPosterPetersonSierra_Interface_SustainabilityPoster
PetersonSierra_Interface_SustainabilityPoster
 
Lines and angles ( Class 6-7 )
Lines and angles ( Class 6-7 )Lines and angles ( Class 6-7 )
Lines and angles ( Class 6-7 )
 
aparatologia ortodontica
aparatologia ortodontica aparatologia ortodontica
aparatologia ortodontica
 
JENKINS_BreizhJUG_20111003
JENKINS_BreizhJUG_20111003JENKINS_BreizhJUG_20111003
JENKINS_BreizhJUG_20111003
 
Solucionario del primer examen con ingreso directo de la PRE SAN MARCOS ciclo...
Solucionario del primer examen con ingreso directo de la PRE SAN MARCOS ciclo...Solucionario del primer examen con ingreso directo de la PRE SAN MARCOS ciclo...
Solucionario del primer examen con ingreso directo de la PRE SAN MARCOS ciclo...
 

Similar to Autonomous Discovery: The New Interface?

Why You Shouldn't Worry About Artificial Intelligence...Until You Have To
Why You Shouldn't Worry About Artificial Intelligence...Until You Have ToWhy You Shouldn't Worry About Artificial Intelligence...Until You Have To
Why You Shouldn't Worry About Artificial Intelligence...Until You Have ToAWH
 
AI - Artificial Intelligence - Implications for Libraries
AI - Artificial Intelligence - Implications for LibrariesAI - Artificial Intelligence - Implications for Libraries
AI - Artificial Intelligence - Implications for LibrariesBrian Pichman
 
Artificial Intelligence Services - AAPNA Infotech
Artificial Intelligence Services - AAPNA InfotechArtificial Intelligence Services - AAPNA Infotech
Artificial Intelligence Services - AAPNA InfotechAapna Infotech
 
OA Introduction to AI from Object Automation
OA Introduction to AI from Object Automation OA Introduction to AI from Object Automation
OA Introduction to AI from Object Automation Object Automation
 
AI for a Smaller Smarter Military SDADTC December 17 2013
AI for a Smaller Smarter Military SDADTC December 17 2013AI for a Smaller Smarter Military SDADTC December 17 2013
AI for a Smaller Smarter Military SDADTC December 17 2013Boulder Equity Analytics
 
How to Use Artificial Intelligence to Grow Your Business
How to Use Artificial Intelligence to Grow Your BusinessHow to Use Artificial Intelligence to Grow Your Business
How to Use Artificial Intelligence to Grow Your BusinessSIXTY
 
When artificial intelligence meets user experience
When artificial intelligence meets user experienceWhen artificial intelligence meets user experience
When artificial intelligence meets user experienceAlex Avissar Tim
 
Ai for everyone
Ai for everyoneAi for everyone
Ai for everyoneTrang Tran
 
NextStep 2018 - OutSystems AI, #FutureOfCoding
NextStep 2018 - OutSystems AI, #FutureOfCodingNextStep 2018 - OutSystems AI, #FutureOfCoding
NextStep 2018 - OutSystems AI, #FutureOfCodingOutSystems
 
AN INTRODUCTION TO EMERGING TECHNOLOGY
AN INTRODUCTION TO EMERGING TECHNOLOGYAN INTRODUCTION TO EMERGING TECHNOLOGY
AN INTRODUCTION TO EMERGING TECHNOLOGYVijay R. Joshi
 
Microsoft AI Platform - AETHER Introduction
Microsoft AI Platform - AETHER IntroductionMicrosoft AI Platform - AETHER Introduction
Microsoft AI Platform - AETHER IntroductionKarthik Murugesan
 
A friendly introduction to GANs
A friendly introduction to GANsA friendly introduction to GANs
A friendly introduction to GANsCsongor Barabasi
 
Onboarding AI & Machine Learning
Onboarding AI & Machine LearningOnboarding AI & Machine Learning
Onboarding AI & Machine LearningBrian Pichman
 
HYpe or Reality: The AI Explainer
HYpe or Reality: The AI ExplainerHYpe or Reality: The AI Explainer
HYpe or Reality: The AI ExplainerPrashant Sakariya
 
Webinar: Will the Real AI Please Stand Up?
Webinar: Will the Real AI Please Stand Up?Webinar: Will the Real AI Please Stand Up?
Webinar: Will the Real AI Please Stand Up?Interset
 
Artificial Intelligence
Artificial IntelligenceArtificial Intelligence
Artificial IntelligenceEnes Bolfidan
 
Evolve Machine Learners - Businesses Built on Artificial Intelligence (AI)
Evolve Machine Learners - Businesses Built on Artificial Intelligence (AI)Evolve Machine Learners - Businesses Built on Artificial Intelligence (AI)
Evolve Machine Learners - Businesses Built on Artificial Intelligence (AI)Akber Khan
 
Machine Learning API'S By Mushahid Ali
Machine Learning API'S By Mushahid AliMachine Learning API'S By Mushahid Ali
Machine Learning API'S By Mushahid AliMushahid Ali
 
Hype vs. Reality: The AI Explainer
Hype vs. Reality: The AI ExplainerHype vs. Reality: The AI Explainer
Hype vs. Reality: The AI ExplainerLuminaryLabs1
 

Similar to Autonomous Discovery: The New Interface? (20)

Why You Shouldn't Worry About Artificial Intelligence...Until You Have To
Why You Shouldn't Worry About Artificial Intelligence...Until You Have ToWhy You Shouldn't Worry About Artificial Intelligence...Until You Have To
Why You Shouldn't Worry About Artificial Intelligence...Until You Have To
 
AI - Artificial Intelligence - Implications for Libraries
AI - Artificial Intelligence - Implications for LibrariesAI - Artificial Intelligence - Implications for Libraries
AI - Artificial Intelligence - Implications for Libraries
 
Artificial Intelligence Services - AAPNA Infotech
Artificial Intelligence Services - AAPNA InfotechArtificial Intelligence Services - AAPNA Infotech
Artificial Intelligence Services - AAPNA Infotech
 
OA Introduction to AI from Object Automation
OA Introduction to AI from Object Automation OA Introduction to AI from Object Automation
OA Introduction to AI from Object Automation
 
AI for a Smaller Smarter Military SDADTC December 17 2013
AI for a Smaller Smarter Military SDADTC December 17 2013AI for a Smaller Smarter Military SDADTC December 17 2013
AI for a Smaller Smarter Military SDADTC December 17 2013
 
How to Use Artificial Intelligence to Grow Your Business
How to Use Artificial Intelligence to Grow Your BusinessHow to Use Artificial Intelligence to Grow Your Business
How to Use Artificial Intelligence to Grow Your Business
 
When artificial intelligence meets user experience
When artificial intelligence meets user experienceWhen artificial intelligence meets user experience
When artificial intelligence meets user experience
 
Ai for everyone
Ai for everyoneAi for everyone
Ai for everyone
 
NextStep 2018 - OutSystems AI, #FutureOfCoding
NextStep 2018 - OutSystems AI, #FutureOfCodingNextStep 2018 - OutSystems AI, #FutureOfCoding
NextStep 2018 - OutSystems AI, #FutureOfCoding
 
AN INTRODUCTION TO EMERGING TECHNOLOGY
AN INTRODUCTION TO EMERGING TECHNOLOGYAN INTRODUCTION TO EMERGING TECHNOLOGY
AN INTRODUCTION TO EMERGING TECHNOLOGY
 
Machine Learning & AI
Machine Learning & AIMachine Learning & AI
Machine Learning & AI
 
Microsoft AI Platform - AETHER Introduction
Microsoft AI Platform - AETHER IntroductionMicrosoft AI Platform - AETHER Introduction
Microsoft AI Platform - AETHER Introduction
 
A friendly introduction to GANs
A friendly introduction to GANsA friendly introduction to GANs
A friendly introduction to GANs
 
Onboarding AI & Machine Learning
Onboarding AI & Machine LearningOnboarding AI & Machine Learning
Onboarding AI & Machine Learning
 
HYpe or Reality: The AI Explainer
HYpe or Reality: The AI ExplainerHYpe or Reality: The AI Explainer
HYpe or Reality: The AI Explainer
 
Webinar: Will the Real AI Please Stand Up?
Webinar: Will the Real AI Please Stand Up?Webinar: Will the Real AI Please Stand Up?
Webinar: Will the Real AI Please Stand Up?
 
Artificial Intelligence
Artificial IntelligenceArtificial Intelligence
Artificial Intelligence
 
Evolve Machine Learners - Businesses Built on Artificial Intelligence (AI)
Evolve Machine Learners - Businesses Built on Artificial Intelligence (AI)Evolve Machine Learners - Businesses Built on Artificial Intelligence (AI)
Evolve Machine Learners - Businesses Built on Artificial Intelligence (AI)
 
Machine Learning API'S By Mushahid Ali
Machine Learning API'S By Mushahid AliMachine Learning API'S By Mushahid Ali
Machine Learning API'S By Mushahid Ali
 
Hype vs. Reality: The AI Explainer
Hype vs. Reality: The AI ExplainerHype vs. Reality: The AI Explainer
Hype vs. Reality: The AI Explainer
 

More from Data Science London

Standardizing +113 million Merchant Names in Financial Services with Greenplu...
Standardizing +113 million Merchant Names in Financial Services with Greenplu...Standardizing +113 million Merchant Names in Financial Services with Greenplu...
Standardizing +113 million Merchant Names in Financial Services with Greenplu...Data Science London
 
Big Data [sorry] & Data Science: What Does a Data Scientist Do?
Big Data [sorry] & Data Science: What Does a Data Scientist Do?Big Data [sorry] & Data Science: What Does a Data Scientist Do?
Big Data [sorry] & Data Science: What Does a Data Scientist Do?Data Science London
 
Real-Time Queries in Hadoop w/ Cloudera Impala
Real-Time Queries in Hadoop w/ Cloudera ImpalaReal-Time Queries in Hadoop w/ Cloudera Impala
Real-Time Queries in Hadoop w/ Cloudera ImpalaData Science London
 
Numpy, the Python foundation for number crunching
Numpy, the Python foundation for number crunchingNumpy, the Python foundation for number crunching
Numpy, the Python foundation for number crunchingData Science London
 
Python pandas workshop iPython notebook (163 pages)
Python pandas workshop iPython notebook (163 pages)Python pandas workshop iPython notebook (163 pages)
Python pandas workshop iPython notebook (163 pages)Data Science London
 
Big Practical Recommendations with Alternating Least Squares
Big Practical Recommendations with Alternating Least SquaresBig Practical Recommendations with Alternating Least Squares
Big Practical Recommendations with Alternating Least SquaresData Science London
 
Bringing back the excitement to data analysis
Bringing back the excitement to data analysisBringing back the excitement to data analysis
Bringing back the excitement to data analysisData Science London
 
ACM RecSys 2012: Recommender Systems, Today
ACM RecSys 2012: Recommender Systems, TodayACM RecSys 2012: Recommender Systems, Today
ACM RecSys 2012: Recommender Systems, TodayData Science London
 
Beyond Accuracy: Goal-Driven Recommender Systems Design
Beyond Accuracy: Goal-Driven Recommender Systems DesignBeyond Accuracy: Goal-Driven Recommender Systems Design
Beyond Accuracy: Goal-Driven Recommender Systems DesignData Science London
 
Machine Learning and Hadoop: Present and Future
Machine Learning and Hadoop: Present and FutureMachine Learning and Hadoop: Present and Future
Machine Learning and Hadoop: Present and FutureData Science London
 
Music and Data: Adding Up the UK Music Industry
Music and Data: Adding Up the UK Music IndustryMusic and Data: Adding Up the UK Music Industry
Music and Data: Adding Up the UK Music IndustryData Science London
 
Scientific Article Recommendations with Mahout
Scientific Article Recommendations with MahoutScientific Article Recommendations with Mahout
Scientific Article Recommendations with MahoutData Science London
 
Simple Matrix Factorization for Recommendation in Mahout
Simple Matrix Factorization for Recommendation in MahoutSimple Matrix Factorization for Recommendation in Mahout
Simple Matrix Factorization for Recommendation in MahoutData Science London
 
Going Real-Time with Mahout, Predicting gender of Facebook Users
Going Real-Time with Mahout, Predicting gender of Facebook UsersGoing Real-Time with Mahout, Predicting gender of Facebook Users
Going Real-Time with Mahout, Predicting gender of Facebook UsersData Science London
 
Understanding Cause & Effect in Customer Behaviour
Understanding Cause & Effect in Customer BehaviourUnderstanding Cause & Effect in Customer Behaviour
Understanding Cause & Effect in Customer BehaviourData Science London
 

More from Data Science London (20)

Standardizing +113 million Merchant Names in Financial Services with Greenplu...
Standardizing +113 million Merchant Names in Financial Services with Greenplu...Standardizing +113 million Merchant Names in Financial Services with Greenplu...
Standardizing +113 million Merchant Names in Financial Services with Greenplu...
 
Big Data [sorry] & Data Science: What Does a Data Scientist Do?
Big Data [sorry] & Data Science: What Does a Data Scientist Do?Big Data [sorry] & Data Science: What Does a Data Scientist Do?
Big Data [sorry] & Data Science: What Does a Data Scientist Do?
 
Real-Time Queries in Hadoop w/ Cloudera Impala
Real-Time Queries in Hadoop w/ Cloudera ImpalaReal-Time Queries in Hadoop w/ Cloudera Impala
Real-Time Queries in Hadoop w/ Cloudera Impala
 
Nowcasting Business Performance
Nowcasting Business PerformanceNowcasting Business Performance
Nowcasting Business Performance
 
Numpy, the Python foundation for number crunching
Numpy, the Python foundation for number crunchingNumpy, the Python foundation for number crunching
Numpy, the Python foundation for number crunching
 
Python pandas workshop iPython notebook (163 pages)
Python pandas workshop iPython notebook (163 pages)Python pandas workshop iPython notebook (163 pages)
Python pandas workshop iPython notebook (163 pages)
 
Big Practical Recommendations with Alternating Least Squares
Big Practical Recommendations with Alternating Least SquaresBig Practical Recommendations with Alternating Least Squares
Big Practical Recommendations with Alternating Least Squares
 
Bringing back the excitement to data analysis
Bringing back the excitement to data analysisBringing back the excitement to data analysis
Bringing back the excitement to data analysis
 
Survival Analysis of Web Users
Survival Analysis of Web UsersSurvival Analysis of Web Users
Survival Analysis of Web Users
 
ACM RecSys 2012: Recommender Systems, Today
ACM RecSys 2012: Recommender Systems, TodayACM RecSys 2012: Recommender Systems, Today
ACM RecSys 2012: Recommender Systems, Today
 
Beyond Accuracy: Goal-Driven Recommender Systems Design
Beyond Accuracy: Goal-Driven Recommender Systems DesignBeyond Accuracy: Goal-Driven Recommender Systems Design
Beyond Accuracy: Goal-Driven Recommender Systems Design
 
Machine Learning and Hadoop: Present and Future
Machine Learning and Hadoop: Present and FutureMachine Learning and Hadoop: Present and Future
Machine Learning and Hadoop: Present and Future
 
Data Science for Live Music
Data Science for Live MusicData Science for Live Music
Data Science for Live Music
 
Music and Data: Adding Up the UK Music Industry
Music and Data: Adding Up the UK Music IndustryMusic and Data: Adding Up the UK Music Industry
Music and Data: Adding Up the UK Music Industry
 
Scientific Article Recommendations with Mahout
Scientific Article Recommendations with MahoutScientific Article Recommendations with Mahout
Scientific Article Recommendations with Mahout
 
Simple Matrix Factorization for Recommendation in Mahout
Simple Matrix Factorization for Recommendation in MahoutSimple Matrix Factorization for Recommendation in Mahout
Simple Matrix Factorization for Recommendation in Mahout
 
Going Real-Time with Mahout, Predicting gender of Facebook Users
Going Real-Time with Mahout, Predicting gender of Facebook UsersGoing Real-Time with Mahout, Predicting gender of Facebook Users
Going Real-Time with Mahout, Predicting gender of Facebook Users
 
Practical Magic with Incanter
Practical Magic with IncanterPractical Magic with Incanter
Practical Magic with Incanter
 
Understanding Cause & Effect in Customer Behaviour
Understanding Cause & Effect in Customer BehaviourUnderstanding Cause & Effect in Customer Behaviour
Understanding Cause & Effect in Customer Behaviour
 
Bootstrapping Data Science
Bootstrapping Data ScienceBootstrapping Data Science
Bootstrapping Data Science
 

Recently uploaded

The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxLoriGlavin3
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embeddingZilliz
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfMounikaPolabathina
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfLoriGlavin3
 
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESmohitsingh558521
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersRaghuram Pandurangan
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxLoriGlavin3
 
Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rick Flair
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxLoriGlavin3
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc
 

Recently uploaded (20)

The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embedding
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdf
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdf
 
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information Developers
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
 
Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptx
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
 

Autonomous Discovery: The New Interface?

  • 1. Autonomous Discovery the future interface? predictive computing anticipatory computing engineered serendipity …
  • 2. Dinesh Vadhia Founder/engineer at autonomous discovery startup www.xyggy.com. Previously, senior product management roles at Oracle and Sun in Silicon Valley and UK, with many years of software engineering first. Closely work with Professor Zoubin Ghahramani at Cambridge University. One of the founding fathers of Bayesian machine learning methods. dinesh@xyggy.com, @DineshVadhia
  • 3. The Autonomous Age Probabilistic robots Commercial unmanned aerial vehicles Self-driving cars
  • 4. Autonomous Discovery Discover new things without doing anything Convenience does matter > Keyword search volume? Probably
  • 5. Undefined Intent Search intent defined by keywords Autonomous discovery has undefined intent Window-shopping analogy
  • 6. New Bayesian ML Algorithm Deals with things only Data finds data Item(s) per query
  • 7. Feature Engineering Things defined by features Can mix multiple feature classes, including high- & low-level, unstructured & structured text, ratings, relevance, context and so on
  • 8. Dynamic No training Dynamic predictions and ranking Relevance feedback 0.85634 0.83678 0.68321 0.59142
  • 11. I Am the Query Given data about me, find new things I will like. If I like a thing, find more like it, or remove this thing and others like it. Hit me with some serendipity.
  • 12. Quick Look technology showcase. autonomously discovers games and apps. android only. free. ad free. ~300,000 apps, ~500,000 element feature vector. Xyggy
  • 13. Xyggy App Usage Autonomously discovers new Discover by Games or Apps games and apps. categories, and Paid or Free. Learns what you like. Touch dice to take a chance with serendipity No search box. No keyword search. To install an app you like, touch its icon to go to the App If you like a game or app, find Store. more (+) like it. Start-over with restart (o) at If you don't like an app, anytime. remove (-) it and others like it go away too.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18. Last But One Data privacy Digital doppelganger Cold-Start Data: Help us spread the word to get more Xyggy app installs so that collective intelligence kicks-in for even better results. The app is free and ad-free. Directions to install the app are at Xyggy. Thank-you!
  • 19. A Must for ML Practitioners "A few useful things to know about machine learning" Pedro Domingos Department of Computer Science and Engineering University of Washington