The Ultimate Directory on AI (Artificial Intelligence) Webinars

The next frontier in generative AI is applying it to make businesses more efficient and more competitive: customer service, online sales, employee empowerment, manufacturing, and a host of other applications. And that requires AI-powered apps that understand your business and that access and apply your data to queries.To that end, Cohere has developed models optimized for enterprise generative AI, and MongoDB Atlas securely unifies operational, unstructured, and AI-related data to streamline building AI-enriched applications. Join us on Tuesday, July 25, at 12 p.m. ET to discover how this combo delivers the game-changing applications businesses need.Richmond Alake, Staff Developer Advocate, AI/ML at MongoDB and Cohere Senior Manager Solution Architect, David Stewart will show you how MongoDB Atlas and Cohere Command R+ work together to:Empower users with seamless semantic search on customer or operational data in MongoDB Atlas.Pass retrieved data to Cohere’s Command R+ generative model for retrieval-augmented generation (RAG).Develop and deploy a RAG-optimized user interface for your app.It’s the future of generative AI in business.

This webinar will delve into the integration of artificial intelligence (AI), machine learning (ML), large language models (LLM), and alternative data sources, including open banking, to forge a comprehensive enterprise decisioning framework that will revolutionise risk management, combat fraud more effectively, and unlock unparalleled customer intelligence.• What have been the current challenges within the era of digital transformation and enterprise decisioning?• How can technology be used to streamline credit decisioning processes and implement proper credit risk assessments?• Strategically combatting fraud within financial institutions.• Developing a cohesive and comprehensive enterprise decisioning system.Speakers: Angus Tsang (Chief risk officer, OCBC), Sayantan Bannerjee (Head, Credit & lending advisory, SEA, Accenture), Abdullo Akhadov (Regional head of credit risk modelling, machine learning & decisioning, APAC SAS), Pritida Vinod (GAICD) (Head of Technology Financial crime, Fraud, Op Risk, Legal & Audit, ANZ), Peter Lee (Regional Head of Risk Sales, ASEAN & Korea SAS).Moderated By: Peter Young (Head of event content, APAC Asia Risk).

In this webinar, we will define what augmented analytics means and discover how AI is transforming data analysis and visualization. We will explore how AI can accelerate data democratization within organizations and the roles data professionals and business users will need to fill.About the SpeakerNick White (CEO and Founder, Data Positive Solutions)Nick White, a seasoned professional with over two decades of expertise, is dedicated to driving impactful business outcomes through the strategic application of data, analytics, and AI. His extensive experience spans diverse industries, showcasing a passion for leveraging data’s transformative potential to fuel innovation, optimize decision-making, and streamline operations. Nick is recognized for his adeptness in assisting organizations across various industry verticals, consistently achieving positive business results through data-driven strategies.

The race to leverage AI is on, but many organizations are stuck in neutral due to concerns about potential risks. In this second installment of our Get AI Ready webinar series, you’ll find out how AI governance can help you: Detect and protect critical AI systems  Align AI development and operations with the rules established by your organization Test systems for security, unbiased outcomes and other responsible AI practices Learning objectives: Identify and assess security, privacy, and compliance risks associated with AI systems. Evaluate the role of AI governance in mitigating risks and accelerating responsible AI adoption. Apply AI governance principles to organizational processes for developing and deploying AI systems. Demonstrate an understanding of the impact of AI governance on business decision-making. Don’t miss out on this opportunity to gain strategies for unlocking the full potential of AI with the power of effective governance.  Reserve your spot today! Tuesday, July 16, 2024 | 10:00 a.m. – 11:00 a.m. PTCourse Level: BasicThis session is eligible for 1.0 CPE credit hour (Information Technology)The Presenters: Fred Rica and Ken Frantz.

Right now, two powerful forces are converging to shape the future automation landscape: robotic process automation (RPA) and agentic artificial intelligence (AI). RPA has revolutionized repetitive, rules-based tasks, streamlining workflows and increasing efficiency across industries. Agentic AI is endowed with the capacity to perceive, reason, and learn autonomously to handle complex decision making and problem-solving tasks. From automating mundane tasks to navigating ambiguity and uncertainty, the synergy between RPA and agentic AI promises to revolutionize the way businesses operate. Join this webinar to learn about the convergence of RPA and agentic AI, envisioning a future where they collaborate seamlessly and unlock new possibilities for enterprise automation. 

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

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)

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

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.