#4 AI Predictions

Janusz Naklicki- Chief Strategy Officer Dariusz Lewczuk- Head of Marketing Automation at Orange Sebastian Szczepaniak - Head of Customer Success and Implementation In this episode, we will focus on the telecommunications industry. Based on the example of Orange, our host Janusz Naklicki will ask - how Orange personalizes the messages for customers. Sebastian Szczepaniak and our special guest Dariusz Lewczuk from Orange will discuss how orchestrating multiple channels gives a bunch of new opportunities for developing AI and Machine Learning technology. We will also discuss how those technologies can help manage communication with customers in a more relevant and personalized way. They give insights on topics such as: - What are the crucial channels in Orange, which become more important - How can Orange make sure that the offers presented in the POS are personalized - How can Synerise help in achieving this cross-channel communication - How is Orange using Machine Learning and AI technology (00:00) Personalization at Orange  (03:14) Personalizing the Home Page by Synerise (04:37) Managing Multiple Channels at Orange (8:22) RCS and Chat (10:49) Personalization in the offline points of sales (15:32) AI & ML in Orange (21:01) Orange Mobile Application

Janusz Naklicki - Chief Strategy Officer Jacek Dąbrowski - Chief AI Officer  Marcin Słomka - Business Solution Architect, ML/AI Expert at Microsoft In this podcast episode, we discuss #foundationmodels in #artificialintelligence and their implications for business. Our guests, Jacek Dąbrowski and Marcin Słomka, explain how these models, such as #GPT, #ResNet, #Dall-E, and Synerise's #Monad work, and how they are used in Data Science. They discuss Monad as a #privatefoundation model for #behavioraldata. They elaborate on its advantages, such as speed and efficiency, and how it is more accessible and easier to use than other models. Finally, they show how these models can be used by IT consulting firms and their clients.    They also discuss:     How Monad differs from other foundation models   How can Monad and Azure ML Studio be used together    How can Monad help customers without powerful data science teams to shorten path from an idea to the first trained model   How can Monad be used to model user behavior and to predict the future    The potential value of Monad for businesses in terms of performance and data usage    What will be the next big thing in AI   (04:05) AI Ecosystem and Monad   (06:14) Evolution of AI Since 2017   (11:40) Competing Head-to-Head with AI Giants   (17:42) Monad vs. Azure ML Studio   (22:09) Value Monad Brings to Business    (24:50) Leading IT Companies Use of Monad

Piotr Nikel, Chief Product Officer Sławomir Zdżyłowski, Integration Architect Mateusz Skowronek, Head of CRM at MODIVO & Eobuwie.pl During this session, we talk about the growing importance of mobile channel and how one of our newest features, In-app messages can help you drive revenue for your business. Our host Piotr Nikel discusses In-app messages that allow you to display any creation in a mobile application with Sławomir Zdżyłowski and our guest Mateusz Skowronek. They give insights on topics such as: What are the differences between web push and In-app communication? Reasons to implement In-app messages from business point of view Functionalities of In-app messages Integration process and possible scenarios

Janusz Naklicki, Chief Strategy Officer Patrycja Zapała, Customer Success & Implementation Manager David Toborek, Head of Digital Product​ at Eat Happy Group This episode hosted by Janusz Naklicki features David Toborek, Chief Digital Officer from Eat Happy Group, and Patrycja Zapala from Synerise's Customer Success Team. The guests give insights on how they implemented Synerise across nine countries of Europe in just three months and discuss the unique challenges they faced due to EHG’s particular business model. They address topics such as: The challenges of identifying, capturing, and retaining customers Data management Overview of technical implementation steps Explanation of the value of a CDP

Anastasia Chaykina, Head of Delivery  Krzysztof Pałuszyński, Deputy Director of Omnichannel Department Retail Banking at mBank This episode is for business professionals, entrepreneurs and data-driven companies who are interested in learning more about how to use Synerise’s platform to process customer data in real time, analyze, and build hyper-personalized customer communications. We discuss the challenges of Synerise with mBank – an innovative, mobile-focused, and first fully internet-based bank in Poland. Anastasia Chaykina and Krzysztof Pałuszyński explore mBank’s plans for the development of Al-based projects in the near future and its role in the ever-evolving banking industry. Get ready to go behind the scenes of a data-driven bank and gain valuable insights into the world of Synerise.  We also discuss:    What is the main scope of projects led by mBank and Synerise?  What was the most difficult challenge at the beginning of the cooperation?  What did the implementation project look like?  What are the plans for the development of AI-based projects in the nearest future?

Aneta Głowacka, Customer Success & Implementation Lead  Wojciech Szumowski, AI Product Owner    During this session, our host Aneta Głowacka talks with her guest, Wojciech Szumowski, about the Synerise AI Search Engine. They address topics such as:   What do you need to set up the search engine Incorporating business knowledge into the search configuration  What search types are there    Can you personalize the search results   How to influence the search engine without coding    The power of AB testing

Anastasia Chaykina,  Head of Delivery Michał Szewczyk,  Persooa Co-founder, Customer Success Executive   Remi Wojtczak,  Persooa Co-founder, Chief Sales Officer     In this session with our partner and integrator Persooa, we discuss the idea of 90-day integration. We will describe how the process works and how the company should prepare for it. Remi Wojtczak and Michał Szewczyk will talk about:      First projects and experiences which came from them    Technical assumptions and skills necessary in the first stage of Synerise implementation     The whole process of integration and its requirements   (00:00 - 01:10) The customer    (02:10 - 03:31) Project life cycle    (03:31- 04:48) Structure of the whole team   (04:49 - 07:48) How to build a technical team    (07:48 - 11:12) First project   (11:13 - 11:49)  Lessons learned and best practices    (11:50 - 13:51) How to run a project from business side   (13:52 - 15:44) Tech analysis    (15:45 - 16:31) Campaign development   (16:32 - 17:49) Delivery process   (17:50 - 22:08) How to work with the client   (22:09 - 23:39) Education of customers   (23:40 - 27:55) Partner vs Synerise responsibilities  (27:54 - 30:55) Strategy for the next years

Janusz Naklicki, Chief Strategy Officer Michał Pastuszak, Senior AI Product Manager   During this session, we will be talking about AI Predictions. A fascinating AI-powered module enabling not only the possibility to predict almost any kind of an action, event or behavior that can be observed during the customer journey, but also, most importantly, to find your ideal target audience, optimize costs and uplift your revenues.  Janusz Naklicki and Michał Pastuszak will demystify the artificial intelligence possibilities and talk about its business potential. We will also discuss:  What is the AI prediction module, and how is it built What kind of predictions are available in Synerise How can we use this module from the marketing and business perspective and what questions need to be addressed when preparing first Predictions? Examples of real customer use cases with benefits achieved

Barbara Rychalska, Director of AI Research  Dominika Basaj, Applied Data Science Lead  In this session, we discuss Project Monad, our new tool for automatic behavioral model creation. In every ML project, data processing is the most time-consuming part. When we consider event data used for behavioral modeling, often the scale makes it infeasible to use all data without losing valuable information. Here enters Project Monad, which makes it possible and very easy, saving data scientists time for more creative tasks. Barbara Rychalska and Dominika Basaj talk about:    Event data    Industry status quo in event data processing   Behavioral modeling     Monad core functions and unique value

Aneta Głowacka, AI & Implementation Lead Sebastian Szczepaniak, Head of Customer Success & Implementation  Joanna Langer, Product Sales Expert Martech (Europe) at Infobip   This session, dedicated to Customer Data Platforms, is hosted by Aneta Głowacka whose guest is Sebastian Szczepaniak, with a special contribution from our Partner Joanna Langer. We discuss the following:   Customer Experience & Understanding of their needs & preferences Why CDPs should be considered by not-only digital marketing teams Personalization & Omnichannel communication management Consent management & the future in a cookie-less era  Our favorite use cases (0:00 - 5:15) - Unified customer data across all channels  (7:01 - 8:00) What is CDP?  (8:05 - 9:11) Omnichannel, example (how to match so many channels)  (9:13 - 10:59) WhatsApp  (11:04 - 11:52) Real Time, needs and preferences  (12:15 - 13:13) InfoBip management  (13:14 - 22:19) Synergy between platforms / Time Optimizer  (22:20 - 22:13) CONSENT MANAGEMENT PLATFORM  (22:14 - 26:59) UseCase#1 Consent Management  (27:00 - 27:44) Terrarium, personalized communication  (27:45 - 29:34) Communication possibilities  (29:35 - 31:14) UseCase#2 Personalized Recommendations  (31:15 - 32:45) UseCase#3 Predictions SMS  (32:46 - 33:47) UseCase#4 Churn on drivers onboard  (33:48) UseCase#5 Selling with Influencer via WhatsApp (Alfa Generation)