Gabor Koncz – AI in email marketing: email conversion optimization in eCommerce
•
1 like•263 views
Most people still think that AI is just science fiction and have no idea how to use the latest results of AI research and development. The fact is that AI is outperforming humans in more and more activities. In this zero bullshit presentation I will show you the exact steps how to implement AI in your organization and how to outperform your competitors by using latest AI solutions in your marketing.
Recommended
Recommended
More Related Content
What's hot
What's hot (20)
Similar to Gabor Koncz – AI in email marketing: email conversion optimization in eCommerce
Similar to Gabor Koncz – AI in email marketing: email conversion optimization in eCommerce (20)
More from Emailing 2020
More from Emailing 2020 (13)
Recently uploaded
Recently uploaded (20)
Gabor Koncz – AI in email marketing: email conversion optimization in eCommerce
- 1. Artificial Intelligence in email marketing Gabor Koncz CEO & Founder, Automizy gabor@automizy.com EMAILING 2020, Prague, 03-10-2019
- 23. Algorithms
- 24. A/B Split Tests and Multivariate Tests Are Algorithms
- 25. Machine Learning
- 28. RED
- 30. RED
- 31. COLORS
- 32. SHAPES
- 33. Deep Learning
- 34. Many Layers of Machine Learning = Deep Learning
- 35. Machines that think like us faster … only better cheaper
- 36. Deep Learning Machine Learning Algorithms Statistics & Probability
- 37. What Else AI Can NOT Do At Present Empathy Judgement General Life Experience Relationships
- 38. The 5U Framework of Marketing Problems AI Solves Untapped Unknown Unclear Unfocused Unprepared
- 39. Dealing With Unstructured Data Untapped Unknown Unclear Unfocused Unprepared
- 41. Identifying Influencers for Reputation Management Untapped Unknown Unclear Unfocused Unprepared
- 43. Digging Into Key Data Points Untapped Unfocused UnpreparedUnknown Unclear
- 45. Identifying True KPIs and Insights Untapped UnpreparedUnknown Unclear Unfocused
- 48. Forecasting and Predicting Untapped Unknown Unclear Unfocused Unprepared
- 49. Insurance Search
- 50. Predictive Forecast for Insurance Marketing Calendar
- 51. Data Foundation Finding, cleaning, preparing, and unifying enterprise data sources Measurement & Analytics Insights & Research Process Automation Data Science Machine Learning AI-Powered Becoming data-driven, identifying and measuring KPIs, understanding what happened Qualitative capabilities, explaining the data story, market research Automating the known knows, finding efficiencies, scaling processes Exploring the unknows, building statistical and math capabilities, code and engineering Advancing process automation and data science with supervised, unsupervised, reinforcement learning AI across the enterprise in every relevant role The Enterprise AI Journey
- 52. Data Foundation Finding, cleaning, preparing, and unifying enterprise data sources Measurement & Analytics Insights & Research Process Automation Data Science Machine Learning AI-Powered Becoming data-driven, identifying and measuring KPIs, understanding what happened Qualitative capabilities, explaining the data story, market research Automating the known knows, finding efficiencies, scaling processes Exploring the unknows, building statistical and math capabilities, code and engineering Advancing process automation and data science with supervised, unsupervised, reinforcement learning AI across the enterprise in every relevant role The Enterprise AI Journey
- 53. Data Foundation Finding, cleaning, preparing, and unifying enterprise data sources Measurement & Analytics Insights & Research Process Automation Data Science Machine Learning AI-Powered Becoming data-driven, identifying and measuring KPIs, understanding what happened Qualitative capabilities, explaining the data story, market research Automating the known knows, finding efficiencies, scaling processes Exploring the unknows, building statistical and math capabilities, code and engineering Advancing process automation and data science with supervised, unsupervised, reinforcement learning AI across the enterprise in every relevant role The Enterprise AI Journey
- 54. Data Foundation Finding, cleaning, preparing, and unifying enterprise data sources Measurement & Analytics Insights & Research Process Automation Data Science Machine Learning AI-Powered Becoming data-driven, identifying and measuring KPIs, understanding what happened Qualitative capabilities, explaining the data story, market research Automating the known knows, finding efficiencies, scaling processes Exploring the unknows, building statistical and math capabilities, code and engineering Advancing process automation and data science with supervised, unsupervised, reinforcement learning AI across the enterprise in every relevant role The Enterprise AI Journey
- 55. Data Foundation Finding, cleaning, preparing, and unifying enterprise data sources Measurement & Analytics Insights & Research Process Automation Data Science Machine Learning AI-Powered Becoming data-driven, identifying and measuring KPIs, understanding what happened Qualitative capabilities, explaining the data story, market research Automating the known knows, finding efficiencies, scaling processes Exploring the unknows, building statistical and math capabilities, code and engineering Advancing process automation and data science with supervised, unsupervised, reinforcement learning AI across the enterprise in every relevant role The Enterprise AI Journey
- 56. Data Foundation Finding, cleaning, preparing, and unifying enterprise data sources Measurement & Analytics Insights & Research Process Automation Data Science Machine Learning AI-Powered Becoming data-driven, identifying and measuring KPIs, understanding what happened Qualitative capabilities, explaining the data story, market research Automating the known knows, finding efficiencies, scaling processes Exploring the unknows, building statistical and math capabilities, code and engineering Advancing process automation and data science with supervised, unsupervised, reinforcement learning AI across the enterprise in every relevant role The Enterprise AI Journey
- 57. Data Foundation Finding, cleaning, preparing, and unifying enterprise data sources Measurement & Analytics Insights & Research Process Automation Data Science Machine Learning AI-Powered Becoming data-driven, identifying and measuring KPIs, understanding what happened Qualitative capabilities, explaining the data story, market research Automating the known knows, finding efficiencies, scaling processes Exploring the unknows, building statistical and math capabilities, code and engineering Advancing process automation and data science with supervised, unsupervised, reinforcement learning AI across the enterprise in every relevant role The Enterprise AI Journey
- 58. Data Foundation Finding, cleaning, preparing, and unifying enterprise data sources Measurement & Analytics Insights & Research Process Automation Data Science Machine Learning AI-Powered Becoming data-driven, identifying and measuring KPIs, understanding what happened Qualitative capabilities, explaining the data story, market research Automating the known knows, finding efficiencies, scaling processes Exploring the unknows, building statistical and math capabilities, code and engineering Advancing process automation and data science with supervised, unsupervised, reinforcement learning AI across the enterprise in every relevant role The Enterprise AI Journey
- 59. Where Your First AI Projects Will Go Wrong
- 60. Business Requirements Analytics Approach Project Review Data Requirements Data Collection Exploratory Data Analysis Data Preparation Model Selection Model Evaluation Model Deployment Model Tuning The AI/Machine Learning Lifecycle Planning Data Development Deployment
- 61. Business Requirements Analytics Approach Project Review Data Requirements Data Collection Exploratory Data Analysis Data Preparation Model Selection Model Evaluation Model Deployment Model Tuning The AI/Machine Learning Lifecycle Planning Data Development Deployment
- 62. Business Requirements Analytics Approach Project Review Data Requirements Data Collection Exploratory Data Analysis Data Preparation Model Selection Model Evaluation Model Deployment Model Tuning The AI/Machine Learning Lifecycle Planning Data Development Deployment
- 63. Business Requirements Analytics Approach Project Review Data Requirements Data Collection Exploratory Data Analysis Data Preparation Model Selection Model Evaluation Model Deployment Model Tuning The AI/Machine Learning Lifecycle Planning Data Development Deployment
- 64. Business Requirements Analytics Approach Project Review Data Requirements Data Collection Exploratory Data Analysis Data Preparation Model Selection Model Evaluation Model Deployment Model Tuning The AI/Machine Learning Lifecycle Planning Data Development Deployment
- 65. Business Requirements Analytics Approach Project Review Data Requirements Data Collection Exploratory Data Analysis Data Preparation Model Selection Model Evaluation Model Deployment Model Tuning The AI/Machine Learning Lifecycle Planning Data Development Deployment
- 67. If Data Is The New Oil
- 68. Developers
- 69. Data Scientists
- 72. Deep Learning Machine Learning Algorithms Statistics & Probability Real World AI Examples For Email Marketing
- 76. A/B Testing Email Subject Lines
- 77. Resend Emails Automatically For Not Openers
- 78. Resend Emails Automatically For Not Openers
- 79. Behavior Based Email Workflows
- 81. Automated A/B Testing Email Automation Workflows
- 85. Subject Line Tester Sample video
- 87. Sample video Subject Line Generator
- 89. Questions? Gabor Koncz CEO & Founder, Automizy gabor@automizy.com EMAILING 2020, Prague, 03-10-2019