SlideShare une entreprise Scribd logo
1  sur  17
IoT and AI
Lalit Bhatt
Nuro Technologies
https://tech.lalitbhatt.net
https://tech.lalitbhatt.net
IoT – Nature of Data processing
• Sensors everywhere
• Ability to process data in real time
• Storing the data for long term analytics
https://tech.lalitbhatt.net
Characteristic of Data
• Nature of Data:
• Volume
• Variety
• Velocity
• Veracity
• Technical challenges are manifold
• Need to process it and make sense of it.
• React quickly
• In Technical jargon
• Latency
• Throughput
• Fault tolerance
https://tech.lalitbhatt.net
IoT – Standard Architecture
Things Edge Cloud
Configuration
Application
and
Storage
Controller
Sense Act
May or may
not be
present.
Acts as a
Gateway.
May provide
local controls
also
User Management
Device
Management
APIEndpoints
Analytics
Machine Learning
Remember Security
Storage
Apps
https://tech.lalitbhatt.net
IoT – Major Vendors
• Microsoft Azure IoT
• IBM Watson IoT
• Amazon AWS IoT
• GE Predix
• PTC ThingWorx
https://tech.lalitbhatt.net
AWS IoT
Thing
Lambda
S3
RDS
Amazon DynamoDB
Amazon SQS
Amazon SNS
Message
Broker
Rules
Engine
There are more
services that can be
hooked like AWS
ElasticSearch
Scalability for most use cases is not an issue.
Cost implications.
https://tech.lalitbhatt.net
AI
https://tech.lalitbhatt.net
AI dilemma
Learning vs Self Learning
Can machine self learn or is it still learning extrapolated? What will happen when
machine will really start self learning
https://tech.lalitbhatt.net
Roger Penrose: Shadows of Mind
• Penrose hypothesizes that:
• Human consciousness is non-algorithmic, and thus is not capable of being
modelled by a conventional Turing machine type of digital computer.
Source : https://en.wikipedia.org/wiki/Shadows_of_the_Mind
https://tech.lalitbhatt.net
AI – Artificial intelligence
• There are known knowns; there are things we know that we
know. There are known unknowns; that is to say, there are
things that we now know we don't know. But there are also
unknown unknowns -- there are things we do not know we
don't know.
• Donald Rumsfield
https://tech.lalitbhatt.net
IoT with AI
DATA
https://tech.lalitbhatt.net
Promise of IoT with AI
• Smartness in everything in world.
• At what level it’s possible
https://tech.lalitbhatt.net
Promise of IoT with AI
• Insights:
• Descriptive
• Predictive
• Prescriptive
• Processing
• Real time
• Batch processing
• Pattern detection
• Anomaly detection
https://tech.lalitbhatt.net
IoT with AI – Reference Architecture
Source: http://lambda-architecture.net/https://tech.lalitbhatt.net
AWS IoT – AI
AWS Greengrass
AWS IoT
Analytics
AWS Kinesis
Stream
AWS Lambda SQS
PROCESSING INFRASTRUCTURE
AWS
ElasticSearch
AWS
DynamoDB
AWS RDS S3 Glacier
STORAGE INFRASTRUCTURE
AWS ML
AWS
Rekognition
AWS Polly AWS Lex
AI Platforms and Services
https://tech.lalitbhatt.net
Questions
https://tech.lalitbhatt.net

Contenu connexe

Tendances

Artificial Intelligence
Artificial IntelligenceArtificial Intelligence
Artificial IntelligenceGirish Naik
 
Brain Tumor Detection using CNN
Brain Tumor Detection using CNNBrain Tumor Detection using CNN
Brain Tumor Detection using CNNMohammadRakib8
 
Cognitive Computing
Cognitive ComputingCognitive Computing
Cognitive ComputingPietro Leo
 
Autonomous or self driving cars
Autonomous or self driving carsAutonomous or self driving cars
Autonomous or self driving carsSandeep Nayak
 
[DSC Europe 23] Spela Poklukar & Tea Brasanac - Retrieval Augmented Generation
[DSC Europe 23] Spela Poklukar & Tea Brasanac - Retrieval Augmented Generation[DSC Europe 23] Spela Poklukar & Tea Brasanac - Retrieval Augmented Generation
[DSC Europe 23] Spela Poklukar & Tea Brasanac - Retrieval Augmented GenerationDataScienceConferenc1
 
Edge Computing for the Industry
Edge Computing for the IndustryEdge Computing for the Industry
Edge Computing for the IndustryWilliam Liang
 
Artificial intelligence-full -report.doc
Artificial intelligence-full -report.docArtificial intelligence-full -report.doc
Artificial intelligence-full -report.docdaksh Talsaniya
 
Singularity presentation Ray Kurzweil at Google
Singularity presentation Ray Kurzweil at GoogleSingularity presentation Ray Kurzweil at Google
Singularity presentation Ray Kurzweil at GoogleSergio Stein
 
Autonomous vehicles
Autonomous vehiclesAutonomous vehicles
Autonomous vehiclesvishnum379
 
The 7 Biggest Artificial Intelligence (AI) Trends In 2022
The 7 Biggest Artificial Intelligence (AI) Trends In 2022The 7 Biggest Artificial Intelligence (AI) Trends In 2022
The 7 Biggest Artificial Intelligence (AI) Trends In 2022Bernard Marr
 
introduction to Artificial intelligence
introduction  to Artificial intelligenceintroduction  to Artificial intelligence
introduction to Artificial intelligenceDr. Mazhar Ali Dootio
 
Ai vs machine learning vs deep learning
Ai vs machine learning vs deep learningAi vs machine learning vs deep learning
Ai vs machine learning vs deep learningSanjay Patel
 
Intel Centrino Mobile Technology
Intel Centrino Mobile TechnologyIntel Centrino Mobile Technology
Intel Centrino Mobile TechnologyArpan Bhansali
 
Bionic eye soft copy (2)
Bionic eye soft copy (2)Bionic eye soft copy (2)
Bionic eye soft copy (2)Nikhil Raj
 

Tendances (20)

Artificial Intelligence
Artificial IntelligenceArtificial Intelligence
Artificial Intelligence
 
ARTIFICIAL INTELLIGENCE
ARTIFICIAL INTELLIGENCEARTIFICIAL INTELLIGENCE
ARTIFICIAL INTELLIGENCE
 
Brain Tumor Detection using CNN
Brain Tumor Detection using CNNBrain Tumor Detection using CNN
Brain Tumor Detection using CNN
 
Cognitive Computing
Cognitive ComputingCognitive Computing
Cognitive Computing
 
Autonomous or self driving cars
Autonomous or self driving carsAutonomous or self driving cars
Autonomous or self driving cars
 
Edge Computing
Edge Computing Edge Computing
Edge Computing
 
[DSC Europe 23] Spela Poklukar & Tea Brasanac - Retrieval Augmented Generation
[DSC Europe 23] Spela Poklukar & Tea Brasanac - Retrieval Augmented Generation[DSC Europe 23] Spela Poklukar & Tea Brasanac - Retrieval Augmented Generation
[DSC Europe 23] Spela Poklukar & Tea Brasanac - Retrieval Augmented Generation
 
Brain chip
Brain chip Brain chip
Brain chip
 
Edge Computing for the Industry
Edge Computing for the IndustryEdge Computing for the Industry
Edge Computing for the Industry
 
Computer vision
Computer vision Computer vision
Computer vision
 
Artificial intelligence-full -report.doc
Artificial intelligence-full -report.docArtificial intelligence-full -report.doc
Artificial intelligence-full -report.doc
 
Singularity presentation Ray Kurzweil at Google
Singularity presentation Ray Kurzweil at GoogleSingularity presentation Ray Kurzweil at Google
Singularity presentation Ray Kurzweil at Google
 
Autonomous vehicles
Autonomous vehiclesAutonomous vehicles
Autonomous vehicles
 
Autonomous Cars
Autonomous CarsAutonomous Cars
Autonomous Cars
 
The 7 Biggest Artificial Intelligence (AI) Trends In 2022
The 7 Biggest Artificial Intelligence (AI) Trends In 2022The 7 Biggest Artificial Intelligence (AI) Trends In 2022
The 7 Biggest Artificial Intelligence (AI) Trends In 2022
 
introduction to Artificial intelligence
introduction  to Artificial intelligenceintroduction  to Artificial intelligence
introduction to Artificial intelligence
 
Computer vision
Computer visionComputer vision
Computer vision
 
Ai vs machine learning vs deep learning
Ai vs machine learning vs deep learningAi vs machine learning vs deep learning
Ai vs machine learning vs deep learning
 
Intel Centrino Mobile Technology
Intel Centrino Mobile TechnologyIntel Centrino Mobile Technology
Intel Centrino Mobile Technology
 
Bionic eye soft copy (2)
Bionic eye soft copy (2)Bionic eye soft copy (2)
Bionic eye soft copy (2)
 

Similaire à Iot and ai

Machine learning for the sensored IoT
Machine learning for the sensored IoTMachine learning for the sensored IoT
Machine learning for the sensored IoTHank Roark
 
Machine Learning for the Sensored Internet of Things
Machine Learning for the Sensored Internet of ThingsMachine Learning for the Sensored Internet of Things
Machine Learning for the Sensored Internet of ThingsSri Ambati
 
Machine Learning for the Sensored IoT
Machine Learning for the Sensored IoTMachine Learning for the Sensored IoT
Machine Learning for the Sensored IoTHank Roark
 
Applied Machine Learning for the IoT - Data Science Pop-up Seattle
Applied Machine Learning for the IoT - Data Science Pop-up SeattleApplied Machine Learning for the IoT - Data Science Pop-up Seattle
Applied Machine Learning for the IoT - Data Science Pop-up SeattleDomino Data Lab
 
Futuristic World with Sensors and Smart Devices [ Electronics Rocks'14
Futuristic World with Sensors and Smart Devices [ Electronics Rocks'14Futuristic World with Sensors and Smart Devices [ Electronics Rocks'14
Futuristic World with Sensors and Smart Devices [ Electronics Rocks'14Samarth Shah
 
IoT Development - Opportunities and Challenges
IoT Development - Opportunities and ChallengesIoT Development - Opportunities and Challenges
IoT Development - Opportunities and ChallengesAsim Rais Siddiqui
 
IoT and Big Data
IoT and Big DataIoT and Big Data
IoT and Big Datasabnees
 
Emerging trends in information technology
Emerging trends in information technologyEmerging trends in information technology
Emerging trends in information technologyShiv Mehmi
 
Internet of Things - AMECSE
Internet of Things - AMECSEInternet of Things - AMECSE
Internet of Things - AMECSEAhmed Sayed
 
Technology Behind IoT (JNTUK - Unit - 1)
Technology Behind IoT (JNTUK - Unit - 1)Technology Behind IoT (JNTUK - Unit - 1)
Technology Behind IoT (JNTUK - Unit - 1)FabMinds
 
Artificial Intelligence (A.I) and Its Application -Seminar
Artificial Intelligence (A.I) and Its Application -SeminarArtificial Intelligence (A.I) and Its Application -Seminar
Artificial Intelligence (A.I) and Its Application -SeminarBIJAY NAYAK
 
Decentralized AI for the Rest of Us
Decentralized AI for the Rest of UsDecentralized AI for the Rest of Us
Decentralized AI for the Rest of UsJesus Rodriguez
 
IoT Introduction Architecture and Applications
IoT Introduction Architecture and ApplicationsIoT Introduction Architecture and Applications
IoT Introduction Architecture and ApplicationsThe IOT Academy
 
5º MeetUP ARQconf 2016 - IoT: What is it really and how does it work?
5º MeetUP ARQconf 2016 - IoT: What is it really and how does it work?5º MeetUP ARQconf 2016 - IoT: What is it really and how does it work?
5º MeetUP ARQconf 2016 - IoT: What is it really and how does it work?GlobalLogic Latinoamérica
 

Similaire à Iot and ai (20)

IoT and AI
 IoT and AI IoT and AI
IoT and AI
 
Machine learning for the sensored IoT
Machine learning for the sensored IoTMachine learning for the sensored IoT
Machine learning for the sensored IoT
 
Machine Learning for the Sensored Internet of Things
Machine Learning for the Sensored Internet of ThingsMachine Learning for the Sensored Internet of Things
Machine Learning for the Sensored Internet of Things
 
Machine Learning for the Sensored IoT
Machine Learning for the Sensored IoTMachine Learning for the Sensored IoT
Machine Learning for the Sensored IoT
 
Applied Machine Learning for the IoT - Data Science Pop-up Seattle
Applied Machine Learning for the IoT - Data Science Pop-up SeattleApplied Machine Learning for the IoT - Data Science Pop-up Seattle
Applied Machine Learning for the IoT - Data Science Pop-up Seattle
 
The Dawn of a new era: Internet of Things
The Dawn of a new era: Internet of ThingsThe Dawn of a new era: Internet of Things
The Dawn of a new era: Internet of Things
 
Futuristic World with Sensors and Smart Devices [ Electronics Rocks'14
Futuristic World with Sensors and Smart Devices [ Electronics Rocks'14Futuristic World with Sensors and Smart Devices [ Electronics Rocks'14
Futuristic World with Sensors and Smart Devices [ Electronics Rocks'14
 
IoT Development - Opportunities and Challenges
IoT Development - Opportunities and ChallengesIoT Development - Opportunities and Challenges
IoT Development - Opportunities and Challenges
 
IoT and Big Data
IoT and Big DataIoT and Big Data
IoT and Big Data
 
Emerging trends in information technology
Emerging trends in information technologyEmerging trends in information technology
Emerging trends in information technology
 
Internet of Things - AMECSE
Internet of Things - AMECSEInternet of Things - AMECSE
Internet of Things - AMECSE
 
Technology Behind IoT (JNTUK - Unit - 1)
Technology Behind IoT (JNTUK - Unit - 1)Technology Behind IoT (JNTUK - Unit - 1)
Technology Behind IoT (JNTUK - Unit - 1)
 
IoTCourse.pptx
IoTCourse.pptxIoTCourse.pptx
IoTCourse.pptx
 
Artificial Intelligence (A.I) and Its Application -Seminar
Artificial Intelligence (A.I) and Its Application -SeminarArtificial Intelligence (A.I) and Its Application -Seminar
Artificial Intelligence (A.I) and Its Application -Seminar
 
Presentation v3
Presentation v3Presentation v3
Presentation v3
 
Internet of things
Internet of thingsInternet of things
Internet of things
 
Decentralized AI for the Rest of Us
Decentralized AI for the Rest of UsDecentralized AI for the Rest of Us
Decentralized AI for the Rest of Us
 
IoT Introduction Architecture and Applications
IoT Introduction Architecture and ApplicationsIoT Introduction Architecture and Applications
IoT Introduction Architecture and Applications
 
5º MeetUP ARQconf 2016 - IoT: What is it really and how does it work?
5º MeetUP ARQconf 2016 - IoT: What is it really and how does it work?5º MeetUP ARQconf 2016 - IoT: What is it really and how does it work?
5º MeetUP ARQconf 2016 - IoT: What is it really and how does it work?
 
The Future is Here
The Future is HereThe Future is Here
The Future is Here
 

Dernier

Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
Vector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesVector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesZilliz
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clashcharlottematthew16
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr LapshynFwdays
 
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
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostZilliz
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfRankYa
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024The Digital Insurer
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
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
 

Dernier (20)

Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
Vector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesVector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector Databases
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clash
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
 
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
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdf
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
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
 

Iot and ai

  • 1. IoT and AI Lalit Bhatt Nuro Technologies https://tech.lalitbhatt.net
  • 3. IoT – Nature of Data processing • Sensors everywhere • Ability to process data in real time • Storing the data for long term analytics https://tech.lalitbhatt.net
  • 4. Characteristic of Data • Nature of Data: • Volume • Variety • Velocity • Veracity • Technical challenges are manifold • Need to process it and make sense of it. • React quickly • In Technical jargon • Latency • Throughput • Fault tolerance https://tech.lalitbhatt.net
  • 5. IoT – Standard Architecture Things Edge Cloud Configuration Application and Storage Controller Sense Act May or may not be present. Acts as a Gateway. May provide local controls also User Management Device Management APIEndpoints Analytics Machine Learning Remember Security Storage Apps https://tech.lalitbhatt.net
  • 6. IoT – Major Vendors • Microsoft Azure IoT • IBM Watson IoT • Amazon AWS IoT • GE Predix • PTC ThingWorx https://tech.lalitbhatt.net
  • 7. AWS IoT Thing Lambda S3 RDS Amazon DynamoDB Amazon SQS Amazon SNS Message Broker Rules Engine There are more services that can be hooked like AWS ElasticSearch Scalability for most use cases is not an issue. Cost implications. https://tech.lalitbhatt.net
  • 9. AI dilemma Learning vs Self Learning Can machine self learn or is it still learning extrapolated? What will happen when machine will really start self learning https://tech.lalitbhatt.net
  • 10. Roger Penrose: Shadows of Mind • Penrose hypothesizes that: • Human consciousness is non-algorithmic, and thus is not capable of being modelled by a conventional Turing machine type of digital computer. Source : https://en.wikipedia.org/wiki/Shadows_of_the_Mind https://tech.lalitbhatt.net
  • 11. AI – Artificial intelligence • There are known knowns; there are things we know that we know. There are known unknowns; that is to say, there are things that we now know we don't know. But there are also unknown unknowns -- there are things we do not know we don't know. • Donald Rumsfield https://tech.lalitbhatt.net
  • 13. Promise of IoT with AI • Smartness in everything in world. • At what level it’s possible https://tech.lalitbhatt.net
  • 14. Promise of IoT with AI • Insights: • Descriptive • Predictive • Prescriptive • Processing • Real time • Batch processing • Pattern detection • Anomaly detection https://tech.lalitbhatt.net
  • 15. IoT with AI – Reference Architecture Source: http://lambda-architecture.net/https://tech.lalitbhatt.net
  • 16. AWS IoT – AI AWS Greengrass AWS IoT Analytics AWS Kinesis Stream AWS Lambda SQS PROCESSING INFRASTRUCTURE AWS ElasticSearch AWS DynamoDB AWS RDS S3 Glacier STORAGE INFRASTRUCTURE AWS ML AWS Rekognition AWS Polly AWS Lex AI Platforms and Services https://tech.lalitbhatt.net