SlideShare a Scribd company logo

Salesforce Integration with Twilio

•Download as PPT, PDF•
•
Pat Patterson
Pat Patterson
Technology
1 of 2
Send and Receive SMS from Force.com Try it out – SMS your email address to 408-724-8777
Record an Incoming Call and Post the Transcription to Salesforce Try it out – just call 408-724-8777

Recommended

Why Mobile Messaging Works?
Why Mobile Messaging Works?Why Mobile Messaging Works?
Why Mobile Messaging Works?Twilio Inc
 
What Can You Do With Twilio
What Can You Do With TwilioWhat Can You Do With Twilio
What Can You Do With TwilioTwilio Inc
 
Twilio Signal 2016 Serverless Contact Center
Twilio Signal 2016 Serverless Contact CenterTwilio Signal 2016 Serverless Contact Center
Twilio Signal 2016 Serverless Contact CenterTwilio Inc
 
Twilio Signal 2016 WebRTC Reborn
Twilio Signal 2016 WebRTC RebornTwilio Signal 2016 WebRTC Reborn
Twilio Signal 2016 WebRTC RebornTwilio Inc
 
Twilio Signal 2016 Robots-IoT-Watson-Cognitive + Twilio
Twilio Signal 2016 Robots-IoT-Watson-Cognitive + TwilioTwilio Signal 2016 Robots-IoT-Watson-Cognitive + Twilio
Twilio Signal 2016 Robots-IoT-Watson-Cognitive + TwilioTwilio Inc
 
Twilio Product Overview
Twilio Product OverviewTwilio Product Overview
Twilio Product OverviewTwilio Inc
 
Productizing Twilio Applications
Productizing Twilio ApplicationsProductizing Twilio Applications
Productizing Twilio ApplicationsPatrick McKenzie
 
Scaling Company Values - Twilio - TechWeek 2012
Scaling Company Values - Twilio - TechWeek 2012Scaling Company Values - Twilio - TechWeek 2012
Scaling Company Values - Twilio - TechWeek 2012Twilio Inc
 

Recommended

Why Mobile Messaging Works?
Why Mobile Messaging Works?Why Mobile Messaging Works?
Why Mobile Messaging Works?Twilio Inc
 
What Can You Do With Twilio
What Can You Do With TwilioWhat Can You Do With Twilio
What Can You Do With TwilioTwilio Inc
 
Twilio Signal 2016 Serverless Contact Center
Twilio Signal 2016 Serverless Contact CenterTwilio Signal 2016 Serverless Contact Center
Twilio Signal 2016 Serverless Contact CenterTwilio Inc
 
Twilio Signal 2016 WebRTC Reborn
Twilio Signal 2016 WebRTC RebornTwilio Signal 2016 WebRTC Reborn
Twilio Signal 2016 WebRTC RebornTwilio Inc
 
Twilio Signal 2016 Robots-IoT-Watson-Cognitive + Twilio
Twilio Signal 2016 Robots-IoT-Watson-Cognitive + TwilioTwilio Signal 2016 Robots-IoT-Watson-Cognitive + Twilio
Twilio Signal 2016 Robots-IoT-Watson-Cognitive + TwilioTwilio Inc
 
Twilio Product Overview
Twilio Product OverviewTwilio Product Overview
Twilio Product OverviewTwilio Inc
 
Productizing Twilio Applications
Productizing Twilio ApplicationsProductizing Twilio Applications
Productizing Twilio ApplicationsPatrick McKenzie
 
Scaling Company Values - Twilio - TechWeek 2012
Scaling Company Values - Twilio - TechWeek 2012Scaling Company Values - Twilio - TechWeek 2012
Scaling Company Values - Twilio - TechWeek 2012Twilio Inc
 
DevOps from the Provider Perspective
DevOps from the Provider PerspectiveDevOps from the Provider Perspective
DevOps from the Provider PerspectivePat Patterson
 
How Imprivata Combines External Data Sources for Business Insights
How Imprivata Combines External Data Sources for Business InsightsHow Imprivata Combines External Data Sources for Business Insights
How Imprivata Combines External Data Sources for Business InsightsPat Patterson
 
Data Integration with Apache Kafka: What, Why, How
Data Integration with Apache Kafka: What, Why, HowData Integration with Apache Kafka: What, Why, How
Data Integration with Apache Kafka: What, Why, HowPat Patterson
 
Project Ouroboros: Using StreamSets Data Collector to Help Manage the StreamS...
Project Ouroboros: Using StreamSets Data Collector to Help Manage the StreamS...Project Ouroboros: Using StreamSets Data Collector to Help Manage the StreamS...
Project Ouroboros: Using StreamSets Data Collector to Help Manage the StreamS...Pat Patterson
 
Dealing with Drift: Building an Enterprise Data Lake
Dealing with Drift: Building an Enterprise Data LakeDealing with Drift: Building an Enterprise Data Lake
Dealing with Drift: Building an Enterprise Data LakePat Patterson
 
Integrating with Einstein Analytics
Integrating with Einstein AnalyticsIntegrating with Einstein Analytics
Integrating with Einstein AnalyticsPat Patterson
 
Efficient Schemas in Motion with Kafka and Schema Registry
Efficient Schemas in Motion with Kafka and Schema RegistryEfficient Schemas in Motion with Kafka and Schema Registry
Efficient Schemas in Motion with Kafka and Schema RegistryPat Patterson
 
Dealing With Drift - Building an Enterprise Data Lake
Dealing With Drift - Building an Enterprise Data LakeDealing With Drift - Building an Enterprise Data Lake
Dealing With Drift - Building an Enterprise Data LakePat Patterson
 
Building Data Pipelines with Spark and StreamSets
Building Data Pipelines with Spark and StreamSetsBuilding Data Pipelines with Spark and StreamSets
Building Data Pipelines with Spark and StreamSetsPat Patterson
 
Adaptive Data Cleansing with StreamSets and Cassandra
Adaptive Data Cleansing with StreamSets and CassandraAdaptive Data Cleansing with StreamSets and Cassandra
Adaptive Data Cleansing with StreamSets and CassandraPat Patterson
 
Building Custom Big Data Integrations
Building Custom Big Data IntegrationsBuilding Custom Big Data Integrations
Building Custom Big Data IntegrationsPat Patterson
 
Ingest and Stream Processing - What will you choose?
Ingest and Stream Processing - What will you choose?Ingest and Stream Processing - What will you choose?
Ingest and Stream Processing - What will you choose?Pat Patterson
 
Open Source Big Data Ingestion - Without the Heartburn!
Open Source Big Data Ingestion - Without the Heartburn!Open Source Big Data Ingestion - Without the Heartburn!
Open Source Big Data Ingestion - Without the Heartburn!Pat Patterson
 
Ingest and Stream Processing - What will you choose?
Ingest and Stream Processing - What will you choose?Ingest and Stream Processing - What will you choose?
Ingest and Stream Processing - What will you choose?Pat Patterson
 
All Aboard the Boxcar! Going Beyond the Basics of REST
All Aboard the Boxcar! Going Beyond the Basics of RESTAll Aboard the Boxcar! Going Beyond the Basics of REST
All Aboard the Boxcar! Going Beyond the Basics of RESTPat Patterson
 
Provisioning IDaaS - Using SCIM to Enable Cloud Identity
Provisioning IDaaS - Using SCIM to Enable Cloud IdentityProvisioning IDaaS - Using SCIM to Enable Cloud Identity
Provisioning IDaaS - Using SCIM to Enable Cloud IdentityPat Patterson
 
OData: Universal Data Solvent or Clunky Enterprise Goo? (GlueCon 2015)
OData: Universal Data Solvent or Clunky Enterprise Goo? (GlueCon 2015)OData: Universal Data Solvent or Clunky Enterprise Goo? (GlueCon 2015)
OData: Universal Data Solvent or Clunky Enterprise Goo? (GlueCon 2015)Pat Patterson
 
Enterprise IoT: Data in Context
Enterprise IoT: Data in ContextEnterprise IoT: Data in Context
Enterprise IoT: Data in ContextPat Patterson
 
OData: A Standard API for Data Access
OData: A Standard API for Data AccessOData: A Standard API for Data Access
OData: A Standard API for Data AccessPat Patterson
 
API-Driven Relationships: Building The Trans-Internet Express of the Future
API-Driven Relationships: Building The Trans-Internet Express of the FutureAPI-Driven Relationships: Building The Trans-Internet Express of the Future
API-Driven Relationships: Building The Trans-Internet Express of the FuturePat Patterson
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingEdi Saputra
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAndrey Devyatkin
 

More Related Content

More from Pat Patterson

DevOps from the Provider Perspective
DevOps from the Provider PerspectiveDevOps from the Provider Perspective
DevOps from the Provider PerspectivePat Patterson
 
How Imprivata Combines External Data Sources for Business Insights
How Imprivata Combines External Data Sources for Business InsightsHow Imprivata Combines External Data Sources for Business Insights
How Imprivata Combines External Data Sources for Business InsightsPat Patterson
 
Data Integration with Apache Kafka: What, Why, How
Data Integration with Apache Kafka: What, Why, HowData Integration with Apache Kafka: What, Why, How
Data Integration with Apache Kafka: What, Why, HowPat Patterson
 
Project Ouroboros: Using StreamSets Data Collector to Help Manage the StreamS...
Project Ouroboros: Using StreamSets Data Collector to Help Manage the StreamS...Project Ouroboros: Using StreamSets Data Collector to Help Manage the StreamS...
Project Ouroboros: Using StreamSets Data Collector to Help Manage the StreamS...Pat Patterson
 
Dealing with Drift: Building an Enterprise Data Lake
Dealing with Drift: Building an Enterprise Data LakeDealing with Drift: Building an Enterprise Data Lake
Dealing with Drift: Building an Enterprise Data LakePat Patterson
 
Integrating with Einstein Analytics
Integrating with Einstein AnalyticsIntegrating with Einstein Analytics
Integrating with Einstein AnalyticsPat Patterson
 
Efficient Schemas in Motion with Kafka and Schema Registry
Efficient Schemas in Motion with Kafka and Schema RegistryEfficient Schemas in Motion with Kafka and Schema Registry
Efficient Schemas in Motion with Kafka and Schema RegistryPat Patterson
 
Dealing With Drift - Building an Enterprise Data Lake
Dealing With Drift - Building an Enterprise Data LakeDealing With Drift - Building an Enterprise Data Lake
Dealing With Drift - Building an Enterprise Data LakePat Patterson
 
Building Data Pipelines with Spark and StreamSets
Building Data Pipelines with Spark and StreamSetsBuilding Data Pipelines with Spark and StreamSets
Building Data Pipelines with Spark and StreamSetsPat Patterson
 
Adaptive Data Cleansing with StreamSets and Cassandra
Adaptive Data Cleansing with StreamSets and CassandraAdaptive Data Cleansing with StreamSets and Cassandra
Adaptive Data Cleansing with StreamSets and CassandraPat Patterson
 
Building Custom Big Data Integrations
Building Custom Big Data IntegrationsBuilding Custom Big Data Integrations
Building Custom Big Data IntegrationsPat Patterson
 
Ingest and Stream Processing - What will you choose?
Ingest and Stream Processing - What will you choose?Ingest and Stream Processing - What will you choose?
Ingest and Stream Processing - What will you choose?Pat Patterson
 
Open Source Big Data Ingestion - Without the Heartburn!
Open Source Big Data Ingestion - Without the Heartburn!Open Source Big Data Ingestion - Without the Heartburn!
Open Source Big Data Ingestion - Without the Heartburn!Pat Patterson
 
Ingest and Stream Processing - What will you choose?
Ingest and Stream Processing - What will you choose?Ingest and Stream Processing - What will you choose?
Ingest and Stream Processing - What will you choose?Pat Patterson
 
All Aboard the Boxcar! Going Beyond the Basics of REST
All Aboard the Boxcar! Going Beyond the Basics of RESTAll Aboard the Boxcar! Going Beyond the Basics of REST
All Aboard the Boxcar! Going Beyond the Basics of RESTPat Patterson
 
Provisioning IDaaS - Using SCIM to Enable Cloud Identity
Provisioning IDaaS - Using SCIM to Enable Cloud IdentityProvisioning IDaaS - Using SCIM to Enable Cloud Identity
Provisioning IDaaS - Using SCIM to Enable Cloud IdentityPat Patterson
 
OData: Universal Data Solvent or Clunky Enterprise Goo? (GlueCon 2015)
OData: Universal Data Solvent or Clunky Enterprise Goo? (GlueCon 2015)OData: Universal Data Solvent or Clunky Enterprise Goo? (GlueCon 2015)
OData: Universal Data Solvent or Clunky Enterprise Goo? (GlueCon 2015)Pat Patterson
 
Enterprise IoT: Data in Context
Enterprise IoT: Data in ContextEnterprise IoT: Data in Context
Enterprise IoT: Data in ContextPat Patterson
 
OData: A Standard API for Data Access
OData: A Standard API for Data AccessOData: A Standard API for Data Access
OData: A Standard API for Data AccessPat Patterson
 
API-Driven Relationships: Building The Trans-Internet Express of the Future
API-Driven Relationships: Building The Trans-Internet Express of the FutureAPI-Driven Relationships: Building The Trans-Internet Express of the Future
API-Driven Relationships: Building The Trans-Internet Express of the FuturePat Patterson
 

More from Pat Patterson (20)

DevOps from the Provider Perspective
DevOps from the Provider PerspectiveDevOps from the Provider Perspective
DevOps from the Provider Perspective
 
How Imprivata Combines External Data Sources for Business Insights
How Imprivata Combines External Data Sources for Business InsightsHow Imprivata Combines External Data Sources for Business Insights
How Imprivata Combines External Data Sources for Business Insights
 
Data Integration with Apache Kafka: What, Why, How
Data Integration with Apache Kafka: What, Why, HowData Integration with Apache Kafka: What, Why, How
Data Integration with Apache Kafka: What, Why, How
 
Project Ouroboros: Using StreamSets Data Collector to Help Manage the StreamS...
Project Ouroboros: Using StreamSets Data Collector to Help Manage the StreamS...Project Ouroboros: Using StreamSets Data Collector to Help Manage the StreamS...
Project Ouroboros: Using StreamSets Data Collector to Help Manage the StreamS...
 
Dealing with Drift: Building an Enterprise Data Lake
Dealing with Drift: Building an Enterprise Data LakeDealing with Drift: Building an Enterprise Data Lake
Dealing with Drift: Building an Enterprise Data Lake
 
Integrating with Einstein Analytics
Integrating with Einstein AnalyticsIntegrating with Einstein Analytics
Integrating with Einstein Analytics
 
Efficient Schemas in Motion with Kafka and Schema Registry
Efficient Schemas in Motion with Kafka and Schema RegistryEfficient Schemas in Motion with Kafka and Schema Registry
Efficient Schemas in Motion with Kafka and Schema Registry
 
Dealing With Drift - Building an Enterprise Data Lake
Dealing With Drift - Building an Enterprise Data LakeDealing With Drift - Building an Enterprise Data Lake
Dealing With Drift - Building an Enterprise Data Lake
 
Building Data Pipelines with Spark and StreamSets
Building Data Pipelines with Spark and StreamSetsBuilding Data Pipelines with Spark and StreamSets
Building Data Pipelines with Spark and StreamSets
 
Adaptive Data Cleansing with StreamSets and Cassandra
Adaptive Data Cleansing with StreamSets and CassandraAdaptive Data Cleansing with StreamSets and Cassandra
Adaptive Data Cleansing with StreamSets and Cassandra
 
Building Custom Big Data Integrations
Building Custom Big Data IntegrationsBuilding Custom Big Data Integrations
Building Custom Big Data Integrations
 
Ingest and Stream Processing - What will you choose?
Ingest and Stream Processing - What will you choose?Ingest and Stream Processing - What will you choose?
Ingest and Stream Processing - What will you choose?
 
Open Source Big Data Ingestion - Without the Heartburn!
Open Source Big Data Ingestion - Without the Heartburn!Open Source Big Data Ingestion - Without the Heartburn!
Open Source Big Data Ingestion - Without the Heartburn!
 
Ingest and Stream Processing - What will you choose?
Ingest and Stream Processing - What will you choose?Ingest and Stream Processing - What will you choose?
Ingest and Stream Processing - What will you choose?
 
All Aboard the Boxcar! Going Beyond the Basics of REST
All Aboard the Boxcar! Going Beyond the Basics of RESTAll Aboard the Boxcar! Going Beyond the Basics of REST
All Aboard the Boxcar! Going Beyond the Basics of REST
 
Provisioning IDaaS - Using SCIM to Enable Cloud Identity
Provisioning IDaaS - Using SCIM to Enable Cloud IdentityProvisioning IDaaS - Using SCIM to Enable Cloud Identity
Provisioning IDaaS - Using SCIM to Enable Cloud Identity
 
OData: Universal Data Solvent or Clunky Enterprise Goo? (GlueCon 2015)
OData: Universal Data Solvent or Clunky Enterprise Goo? (GlueCon 2015)OData: Universal Data Solvent or Clunky Enterprise Goo? (GlueCon 2015)
OData: Universal Data Solvent or Clunky Enterprise Goo? (GlueCon 2015)
 
Enterprise IoT: Data in Context
Enterprise IoT: Data in ContextEnterprise IoT: Data in Context
Enterprise IoT: Data in Context
 
OData: A Standard API for Data Access
OData: A Standard API for Data AccessOData: A Standard API for Data Access
OData: A Standard API for Data Access
 
API-Driven Relationships: Building The Trans-Internet Express of the Future
API-Driven Relationships: Building The Trans-Internet Express of the FutureAPI-Driven Relationships: Building The Trans-Internet Express of the Future
API-Driven Relationships: Building The Trans-Internet Express of the Future
 

Recently uploaded

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingEdi Saputra
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAndrey Devyatkin
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Zilliz
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMECloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMESafe Software
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Victor Rentea
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businesspanagenda
 
JohnPollard-hybrid-app-RailsConf2024.pptx
JohnPollard-hybrid-app-RailsConf2024.pptxJohnPollard-hybrid-app-RailsConf2024.pptx
JohnPollard-hybrid-app-RailsConf2024.pptxJohnPollard37
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyKhushali Kathiriya
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxRustici Software
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...DianaGray10
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMECloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMESafe Software
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MIND CTI
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobeapidays
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...apidays
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...apidays
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxRemote DBA Services
 
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century educationjfdjdjcjdnsjd
 

Recently uploaded (20)

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMECloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
JohnPollard-hybrid-app-RailsConf2024.pptx
JohnPollard-hybrid-app-RailsConf2024.pptxJohnPollard-hybrid-app-RailsConf2024.pptx
JohnPollard-hybrid-app-RailsConf2024.pptx
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMECloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
 
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering Developers
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 

Salesforce Integration with Twilio

  • 1. Send and Receive SMS from Force.com Try it out – SMS your email address to 408-724-8777
  • 2. Record an Incoming Call and Post the Transcription to Salesforce Try it out – just call 408-724-8777