List of videos

Asif Mujawar Database Specialist SA @ AWS The solution describes the best practices and available services in the AWS Cloud to implement a seamless omni-channel experience for a customer interacting with a call center. The interaction can happen via all the popular channels: phone call, mobile or web chat and even smart home devices like Amazon Alexa. The seamless aspect of the solution refers to the effortless and trouble-free transition between the different means of support: chat with an Artificial Intelligence (AI) powered bot, live chat with an agent or phone support. From this unified solution access Customer Relationship Management (CRM) data and knowledge base information and route the call / chat based on ML Churn / Sentiment prediction within Amazon Connect. — 0:00 Intro 0:20 Talk — 🥇 Gold Sponsor AWS 🥈 Silver Sponsors ChaosNative Microsoft Restream SeMI Technologies Stream Native TypingDNA 🤝 Media Partners Bpb Infosec Conferences [ Inside Dev ] Manning O'Reilly Packt — Website 🚀🪐 https://www.conf42.com​ Reach Out 📧📭 mark@conf42.com Discord Server 🧑‍🤝‍🧑💬 https://discord.com/invite/dT6ZsFJ5ZM​ LinkedIn 👨‍💼💼 https://www.linkedin.com/company/4911...​ Twitter 🎵🐦https://twitter.com/conf42com​ Conf42Cast 🎧 http://www.conf42.com/podcast

Nidal Albeiruti Solutions Architect @ AWS Binary and simple sensors are widely used in IoT and IIoT worlds. These sensors can provide more features other than their state that can help different machine learning workloads. This session will focus on data preparation and feature engineering techniques to extract additional features from binary sensors specifically. — 0:00 Intro 0:20 Talk — 🥇 Gold Sponsor AWS 🥈 Silver Sponsors ChaosNative Microsoft Restream SeMI Technologies Stream Native TypingDNA 🤝 Media Partners Bpb Infosec Conferences [ Inside Dev ] Manning O'Reilly Packt — Website 🚀🪐 https://www.conf42.com​ Reach Out 📧📭 mark@conf42.com Discord Server 🧑‍🤝‍🧑💬 https://discord.com/invite/dT6ZsFJ5ZM​ LinkedIn 👨‍💼💼 https://www.linkedin.com/company/4911...​ Twitter 🎵🐦https://twitter.com/conf42com​ Conf42Cast 🎧 http://www.conf42.com/podcast

Pawel Skrzypek CTO @ 7bulls.com & Anna Warno Data Scientist @ 7bulls.com The presentation prepared by AI Investments and 7bulls.com team. We are working on time series forecasting for over 4 years and want to make a review of the latest and most advanced time series forecasting methods like ES-Hybrid, N-Beats, Tsetlin machine, and more. We will provide also tips and tricks for forecasting difficult, noisy, and nonstationary time series, which can significantly improve the accuracy and performance of the methods. The complete time series forecasting methodology will be presented as well, along with the most efficient supporting tools. Also, a brief introduction to the ensembling of predictions will be done. — 0:00 Intro 0:20 Talk — 🥇 Gold Sponsor AWS 🥈 Silver Sponsors ChaosNative Microsoft Restream SeMI Technologies Stream Native TypingDNA 🤝 Media Partners Bpb Infosec Conferences [ Inside Dev ] Manning O'Reilly Packt — Website 🚀🪐 https://www.conf42.com​ Reach Out 📧📭 mark@conf42.com Discord Server 🧑‍🤝‍🧑💬 https://discord.com/invite/dT6ZsFJ5ZM​ LinkedIn 👨‍💼💼 https://www.linkedin.com/company/4911...​ Twitter 🎵🐦https://twitter.com/conf42com​ Conf42Cast 🎧 http://www.conf42.com/podcast

Ron Lyle Dagdag Lead Software Engineer @ Spacee Have you ever wanted to make your apps “smarter”? This session will cover what every ML/AI developer should know about Open Neural Network Exchange (ONNX) . Why it’s important and how it can reduce friction in incorporating machine learning models to your apps. We will show how to train models using the framework of your choice, save or convert models into ONNX, and deploy to cloud and edge using a high-performance runtime. — 0:00 Intro 0:20 Talk — 🥇 Gold Sponsor AWS 🥈 Silver Sponsors ChaosNative Microsoft Restream SeMI Technologies Stream Native TypingDNA 🤝 Media Partners Bpb Infosec Conferences [ Inside Dev ] Manning O'Reilly Packt — Website 🚀🪐 https://www.conf42.com​ Reach Out 📧📭 mark@conf42.com Discord Server 🧑‍🤝‍🧑💬 https://discord.com/invite/dT6ZsFJ5ZM​ LinkedIn 👨‍💼💼 https://www.linkedin.com/company/4911...​ Twitter 🎵🐦https://twitter.com/conf42com​ Conf42Cast 🎧 http://www.conf42.com/podcast

Laura Ham Community Solution Engineer @ SeMI Technologies This talk is an introduction to the vector search engine Weaviate. You will learn how storing data using vectors enables semantic search and automatic data classification. Topics like the underlying vector storage mechanism and how the pre-trained language vectorization model enables this are touched. In addition, this presentation consists of live demos to show the power of Weaviate and how you can get started with your own datasets. No prior technical knowledge is required; all concepts are illustrated with real use case examples and live demos. Most of all data is unstructured. Additionally, data is often stored without context, meaning and relation to concepts in the real world. This means that all this data is difficult to index, classify and search through. While this is traditionally solved by manual effort or expensive machine learning models, Weaviate takes another approach to this problem. Weaviate is a vector search engine, which stores data as vectors and automatically adds context and meaning to new data. This enables to search through the data without using exact matching keywords. Moreover, data can be automatically classified. Weaviate is completely open source, has a built-in machine learning model, has a graph-like data model, completely API-based and is cloud-native. Weaviate uses a GraphQL API next to RESTful endpoints to interact with the data in an intuitive manner. Additionally, Python, Go, Java and JavaScript clients are available to facilitate interaction between Weaviate and your applications. GraphQL and client examples will be shown in the presentation. — 0:00 Intro 0:20 Talk — 🥇 Gold Sponsor AWS 🥈 Silver Sponsors ChaosNative Microsoft Restream SeMI Technologies Stream Native TypingDNA 🤝 Media Partners Bpb Infosec Conferences [ Inside Dev ] Manning O'Reilly Packt — Website 🚀🪐 https://www.conf42.com​ Reach Out 📧📭 mark@conf42.com Discord Server 🧑‍🤝‍🧑💬 https://discord.com/invite/dT6ZsFJ5ZM​ LinkedIn 👨‍💼💼 https://www.linkedin.com/company/4911...​ Twitter 🎵🐦https://twitter.com/conf42com​ Conf42Cast 🎧 http://www.conf42.com/podcast

Aditya Lohia Machine Learning Engineer @ Tod'Aers When we aim for better accuracies, sometimes we forget that the algorithms become more massive and slower. This fact renders the algorithms unusable in real-time scenarios. How do you deploy your solution? Which framework to use? Can you use Python for deploying my solution? Can you use Jetson Nano for multi-stream inferencing? If you are curious to solve these questions, join me in this talk to discover TensorRT and DeepStream and how they reduce your algorithm’s latency and memory footprint. NVIDIA TensorRT™ is an SDK for high-performance deep learning inference. It includes a deep learning inference optimizer and runtime that delivers low latency and high-throughput for deep learning inference applications. DeepStream offers a multi-platform scalable framework with TLS security to deploy on edge and connect to any cloud. If you are using a GPU and CUDA/Tensor cores, you can leverage the SDK framework to deploy bigger and better algorithms for your real-time scenarios. The main focus of this talk will be to demonstrate why, where, and how to use TensorRT and DeepStream. — 0:00 Intro 0:20 Talk — 🥇 Gold Sponsor AWS 🥈 Silver Sponsors ChaosNative Microsoft Restream SeMI Technologies Stream Native TypingDNA 🤝 Media Partners Bpb Infosec Conferences [ Inside Dev ] Manning O'Reilly Packt — Website 🚀🪐 https://www.conf42.com​ Reach Out 📧📭 mark@conf42.com Discord Server 🧑‍🤝‍🧑💬 https://discord.com/invite/dT6ZsFJ5ZM​ LinkedIn 👨‍💼💼 https://www.linkedin.com/company/4911...​ Twitter 🎵🐦https://twitter.com/conf42com​ Conf42Cast 🎧 http://www.conf42.com/podcast

Matteo Gabrielli Solutions Architect @ AWS AWS AI services are putting Machine Learning in the hands of every builder. In this talk we will explore how services like Amazon Comprehend could speed-up customers in getting insights from text and deliver value to their business. — 0:00 Intro 0:20 Talk — 🥇 Gold Sponsor AWS 🥈 Silver Sponsors ChaosNative Microsoft Restream SeMI Technologies Stream Native TypingDNA 🤝 Media Partners Bpb Infosec Conferences [ Inside Dev ] Manning O'Reilly Packt — Website 🚀🪐 https://www.conf42.com​ Reach Out 📧📭 mark@conf42.com Discord Server 🧑‍🤝‍🧑💬 https://discord.com/invite/dT6ZsFJ5ZM​ LinkedIn 👨‍💼💼 https://www.linkedin.com/company/4911...​ Twitter 🎵🐦https://twitter.com/conf42com​ Conf42Cast 🎧 http://www.conf42.com/podcast

Nicola Pietroluongo Senior Solutions Architect @ AWS Would you like to run inference in the cloud using automatic scaling, built-in high availability, and a pay-for-value billing model? In this talk you are going to see how to bundle your ML model to run serverless inference in response to events and where it’s suitable to do so. — 0:00 Intro 0:20 Talk — 🥇 Gold Sponsor AWS 🥈 Silver Sponsors ChaosNative Microsoft Restream SeMI Technologies Stream Native TypingDNA 🤝 Media Partners Bpb Infosec Conferences [ Inside Dev ] Manning O'Reilly Packt — Website 🚀🪐 https://www.conf42.com​ Reach Out 📧📭 mark@conf42.com Discord Server 🧑‍🤝‍🧑💬 https://discord.com/invite/dT6ZsFJ5ZM​ LinkedIn 👨‍💼💼 https://www.linkedin.com/company/4911...​ Twitter 🎵🐦https://twitter.com/conf42com​ Conf42Cast 🎧 http://www.conf42.com/podcast

Mofizur Rahman Developer Advocate @ IBM Kubeflow is a machine learning toolkit for Kubernetes where users can develop, deploy, and manage ML workflows in a scalable and portable manner. Deploying and maintaining it can be a bit tricky since Kubeflow is composed of many components such as notebooks and pipelines and their potential configurations. This makes the barrier to entry to Kubeflow very high and make it difficult for teams to adopt Kubeflow. To help alleviate some of these deployment woes the Kubernetes Kubeflow Operator was created. It automates the deployment, monitoring, and management of Kubeflow as a whole. In this session, users will learn how they can best leverage the Kubeflow Operator to quickly get Kubeflow up and running on their Kubernetes clusters. — 0:00 Intro 0:20 Talk — 🥇 Gold Sponsor AWS 🥈 Silver Sponsors ChaosNative Microsoft Restream SeMI Technologies Stream Native TypingDNA 🤝 Media Partners Bpb Infosec Conferences [ Inside Dev ] Manning O'Reilly Packt — Website 🚀🪐 https://www.conf42.com​ Reach Out 📧📭 mark@conf42.com Discord Server 🧑‍🤝‍🧑💬 https://discord.com/invite/dT6ZsFJ5ZM​ LinkedIn 👨‍💼💼 https://www.linkedin.com/company/4911...​ Twitter 🎵🐦https://twitter.com/conf42com​ Conf42Cast 🎧 http://www.conf42.com/podcast