AI (Artificial Intelligence) Webinars

Topic: "Generate Synthetic Tabular Data with GANs"Speaker: Hanhan Wu, Senior Manager of Data Science at ScotiabankAbstract:Generative AI is popular nowadays, and we have seen lots of use cases applied on image and text data. Have you ever used it on tabular data? In this talk, Hanhan is going to share her experiments and findings on generating synthetic tabular data using latest tabular generative adversarial networks (TGANs).Learning points:- Understand how does GANs work to generate synthetic data - Understand how does latest (2019 ~ 2023) TGANs work to generate tabular synthetic data - See experiments and results - A tip to improve TGANs performance on generating synthetic data - Discuss questions, your experience or thoughtsJoin ODSC Europe 2024 - The Leading AI&Data Science Training Conference - https://hubs.li/Q02sx0fQ0 Use Community2024-EU discount code

In this webinar, we'll explore the pivotal role of artificial intelligence in revolutionizing customer support. Join us as we delve into the seamless integration of AI and human intelligence, unveiling strategies to enhance efficiency, personalize experiences, and navigate the evolving landscape of customer service.Unite AI for efficiency, human touch for empathy, creating a scalable, empathetic support ecosystemEmbrace AI as essential for competitiveness, yielding efficiency, cost savings, and superior customer experiencesStrategically integrate AI to meet specific business needs, ensuring success in the AI-driven era of customer serviceSpeakers:Stephen Peacock, Head of Games AI, Keywords StudiosErik Ashby, Senior Director, Product Intelligence, HelpshiftGreg Posner, Host of Player: Engage Podcast

What is the impact of customized engines on aspects like translation quality and brand alignment? Join Smartling AI leaders as they discuss this question and more.As the global utilization of AI-powered translation continues to increase exponentially, there's a growing interest in ensuring that its outputs align with brand standards and are tailored to customer’s specific needs. One effective approach to achieving this is through the use of custom machine translation (MT) engines. By leveraging a company's linguistic assets, such as translation memory, style guides, do-not-translate lists and glossaries, these engines can be customized to optimize outputs for brand compliance and quality.However, the pivotal question remains: what is the actual impact of customized engines on aspects like translation quality and brand alignment? Are they truly worth the investment, and how can they be utilized most efficiently? Join Smartling AI leaders Olga Beregovaya and Alex Yanishevsky as they delve into these questions and more during this live discussion.This session will cover:What it takes to build a custom MT engineThe advantages (and potential drawbacks) of custom modelsHow to evaluate the return on investment of implementing a custom modelsThe best place to add custom models to your translation workflowSpeakers: Alex Yanishevsky (Senior Director, AI Solutions) and Olga Beregovaya (VP, AI & Machine Translation)

Managing mainframe application performance and availability is increasingly complex. Yet optimizing hybrid IT infrastructure is essential for digital transformation. Organizations must figure out how they’re going to manage and monitor their systems’ health. Artificial intelligence (AI) can identify unexpected operational behaviors and help automate critical functions like detecting anomalous applications, analyzing resource usage, and contributing to overall mainframe performance.Join us to:Understand modernizing system health management in a hybrid IT environmentSee how AI resource analysis supports peak mainframe efficiencyDiscover how analytical tools can help automate the detection of anomalous applicationsLearn ways to reduce operational costs with modern tools in a hybrid IT spacePresented By:Rod Dyson is Senior Director, Software Engineering at Rocket Software. Rod has worked on mainframe systems for more than 35 years, with a focus on MVS through the years, Db2, CICS, VTAM, and more. He is currently working with AI / ML solutions to maintain application and systems availability in a modern IT environment.

Join us at our upcoming webinar where we will show you how you can build an Inbound GPT that knows your business, knows your customers, supports customers, identifies opportunities, asks the right questions, and updates your team 24 hours a day, 7 days a week!Inbound GPT works alongside your team to reduce support calls and boost conversions by up to 40% with your existing website traffic. Register now for this session and learn how you can gain early access. Speaker: Jim Wanek, Founder of Easy GPT Builders.

How can businesses deliver maximum value from artificial intelligence and machine learning (AI/ML) projects and scale them fast from proof-of-concept to production? This exclusive webinar, hosted by Teradata and Amazon Web Services (AWS), provides answers. Find out how the seamless integration of Teradata VantageCloud and ClearScape Analytics™ with AWS and Amazon SageMaker empowers teams across your organization to innovate with powerful AI/ML tools and services. The result? Breakthrough insights that solve your most complex challenges, reveal new opportunities, and sharpen your competitive edge.Get actionable tips on how to: Avoid the common pitfalls of AI/ML projectsFast-track AI/ML initiatives across your business Accelerate time-to-value from AI-powered innovation Spend less time prepping data and more time innovating You’ll also find out how your peers are delivering more relevant customer experiences, faster growth, and better performance with AI-powered innovation. Speakers:Sri Raghavan, Principal, Data Science and Analytics, Amazon MarketplaceDoug Mbaya, Senior Partner Solutions Architect, AWSChris Hillman, Senior Data Science Director, International, Teradata

Explore key considerations for deploying and scaling generative AI in production, including the critical role of AI inference..As organizations transition from generative AI experiments to deploying and scaling generative AI applications in production, the focus on production model deployment for inference—where AI delivers results—is growing. In addition to strategies that ensure data security and compliance while enabling flexibility and agility for innovation, enterprises need a streamlined, cost-effective approach to managing AI inference at scale.Join us for an engaging webinar where we'll explore key considerations for deploying and scaling generative AI in production, including the critical role of AI inference. Through real-world case studies highlighting successful enterprise deployments, we'll uncover best practices supporting enterprise data security and compliance, enabling developer innovation and agility, and unlocking AI inference for production applications at scale. Don't miss out on this opportunity to accelerate your enterprise journey to generative AI.By joining this webinar, you’ll explore:Challenges of and best practices for deploying generative AI to productionKey considerations and techniques for optimizing AI inferenceReal-world case studies of enterprise generative AI deploymentsResources and how to get started with NVIDIA softwareSpeakers:Bethann Noble, Product Marketing Manager, NVIDIANeal Vaidya, Developer Advocate, NVIDIA

Join us for our upcoming webinar, "Making AI profitable: Transforming Data into Business Value" hosted by Founder of 4mation Technologies, Dane Eldridge, who will be joined by special guest and Founder of Learnosity, Mark Lynch.What will be covered during this 1-hour session:Introduction to AI use casesStrategies for Data Collection and ManagementAI techniques that Drive Business ValueMeasuring the Impact of AI on BusinessChallenges and Solutions in AI AdoptionLive Q&A: Answers to any of your burning questionsThis session is tailored for aspiring entrepreneurs, tech innovators and those who're looking for new ways to drive value for their businesses using AI. Gain actionable insights and learn from the firsthand experiences of innovators who have used AI to drive value for their businesses.

Join our webinar to explore how Oracle integrates generative AI into its Autonomous Health Framework and Autonomous Database. You will learn about the groundbreaking capabilities of Echelon and SelectAI, which will enhance your user interactions across Oracle platforms.In this session you will learn:Echelon in Autonomous Health Framework: Echelon revolutionizes your engagement with diagnostic data by turning complex data into actionable insights, streamlining diagnostics and customizing troubleshooting recommendations through Natural Language Processing and Large Language Models. Its adaptive learning improves response accuracy in various software environments.SelectAI in Autonomous Database: SelectAI simplifies querying in ADB, enabling you to interact with the database using natural language, without the need for SQL knowledge. You will explore how to enable SelectAI, integrate it with LLMs like OpenAI and Cohere, and apply it to various data types including JSON.Join us to see how Echelon and SelectAI can transform your data interaction and system health management.Featured Speakers:German Viscuso, Director, Developer CommunityArjun Upadhyay, Consulting Member Technical Staff

Topic: Time-Series Databases for AI: Enabling Trend Analysis, Anomaly Detection, and Accurate PredictionsSpeaker: Anais Dotis-Georgiou, Developer Advocate at InfluxDataAbstract: Real-world AI applications require time-series data to transform raw data into valuable intelligence. Time-series data, recorded chronologically, enables trend analysis, anomaly detection, and accurate predictions. This session will consider why it’s essential to look at a time series database when working with ML and AI, how they differ from other databases, and factors such as scalability, data ingestion and storage capabilities, advanced analytics support, and integration capabilities.We will also share real-life use cases of companies using the InfluxDB time series database in their production-ready environments to support predictive analytics and automation.Join ODSC Europe 2024 - The Leading AI and Data Science Training Conference this September - https://hubs.li/Q02sx0fQ0 Use Community2024-EU code for an extra discount