AI (Artificial Intelligence) Webinars

Join us for an insightful webinar to learn how you can improve the accuracy and scalability of text retrieval for production-ready generative AI pipelines. With the newest available NVIDIA NeMo™ Retriever and NVIDIA NIM microservices, developers and IT practitioners can elevate enterprise data insights for several use cases.Built as an NVIDIA NIM, the NeMo Retriever microservices can be used together, or individually to complement community models, NVIDIA models, or your own custom models, and can be easily customized and deployed anywhere your enterprise data resides. Learn how to achieve the most accurate responses for text Q&A, and deploy wherever your enterprise data lives—cloud, data center, or hybrid.By joining this webinar, you’ll explore:• What NVIDIA NeMo Retriever and NIM microservices are, and the applicable use cases.• How to build enterprise-grade retrieval pipelines wherever your data lives.• Real-world examples and performance benchmarks.• How to get started quickly and seamlessly.• Live Q&A with NVIDIA expertsSpeakers: Nicola Sessions, Senior Manager of Enterprise Product Marketing, NVIDIA; Nave Algarici, Generative AI Software Product Manager, NVIDIA.

AgendaSecure AI-Driven Networking Maximizes TCO Savings:• Welcome, Intro to Nile & solutions by stc• Service Overview• Solution Demo• Question & Answer• Next StepsSpeakers: Austin Hawthorne, VP Worldwide Solution Architects Nile team; Andrew Froelich, Director Solutions Marketing Nile team; Hashiru Idris, Advisor, Corporate Strategy & Performance solutions by stc team; Anwar Alonazi, Sr Operation Manager solutions by stc team.If you want to attend, register now. When your registration is approved, you'll receive an invitation to join the webinar.

Amidst the digital transformation era, businesses are either exploring or have already adopted artificial intelligence (AI) to fuel insights, optimise operations, and spark innovation. However, the surge in AI adoption raises a pressing concern: Will AI increase your organisation’s security risks?The answer is a resounding YES if robust data governance and security measures are not in place. Without controls, AI has the potential to expose sensitive information, such as salaries or proprietary business data, to unauthorised access.It is crucial for organisations to achieve the delicate balance between leveraging AI's capabilities and safeguarding data security. Fortunately, we're here to guide you through the initial steps before embracing AI – starting with fortifying your data against security and compliance risks.Join our team for an insightful live webinar as we delve into content management and data security, two pivotal factors for successfully rolling out AI in your organisation. Discover how to strengthen your data landscape to seamlessly surface insights using the integrated tools within Microsoft 365.Key learning outcomesThis live webinar will answer the following questions:Why is data security more challenging than ever before and what can you do about it?What are the risks of not enhancing your data security first before adopting AI?What tools can be integrated with Microsoft 365 to help you achieve robust information protection, governance, and compliance?How to get started with your data management strategy in preparation for adopting AI in your organisation?How to turbo charge your AI outcomes?Who should attend?This webinar is ideal for business leaders, IT executives and professionals, operations managers, and any key stakeholders who are interested in:Gearing up their organisation for a successful AI adoption.Achieving more from their Microsoft 365 software investment.Understanding the synergy between Microsoft 365, SharePoint, Purview, and iWorkplace in securing and priming your data for AI adoption.Speakers: Pranol Sharma (Business Development – Modern Work + Security, Professional Advantage) and Adrian Goddard (Senior Consultant – Modern Work, Professional Advantage)

Do you think AI is at the peak of the hype cycle? If so, you're already running late.While in some industries, AI is seen as being at the peak of the hype cycle, in market research the changes it has wrought and will continue to make are both fast and dramatic.Join us for an insightful journey through a standard market research study, where we’ll highlight how AI is streamlining the process and accelerating time to value.In this webinar, we'll look at both the easy wins and the areas to be cautious.We'll cover:- Project management- Study design- Data cleaning- Text categorization/coding- Analysis- StorytellingAlong the way we'll explore:- The things that AI can do, from understanding natural language inputs through to writing code- Our roadmap for the futureHost: Tim Bock, Founder of Displayr

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