Technology Webinars

Spotfire Copilot™ is a natural language extension to Spotfire, available for download on the Community. It leverages large language models (LLMs) to augment business intelligence and artificial intelligence. The extension acts as an assistant directly within Spotfire, empowering you to get more done with your data faster. Learn more about how #GenerativeAI can create visuals and data functions—or talk with you about your data—all within Spotfire. Featured speakers:Ahmad Fattahi, Sr Director, Data Science, SpotfireAndrew Berridge, Principal Data Scientist, Spotfire

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)

During this webinar, you will learn about:• How performance testing and observability are complementary• How to run performance tests as code with Grafana k6• How to correlate client-side performance test results with server-side metrics, logs and traces to debug failed tests fasterPerformance Testing + Observability: Better TogetherPerformance testing adds a proactive dimension to observability. You generate virtual user traffic towards a pre-production version of your system and then observe the system to understand how it responds to the traffic stimuli by looking at metrics, logs, and traces. This allows you to find and fix performance problems earlier in the software development lifecycle, when it’s less costly to fix them.Learn how Grafana Cloud k6 offers you the best developer experience for performance testing and how its correlation with Grafana Cloud Metrics, Traces and Logs expands your visibility, allowing you to troubleshoot failed performance tests faster. We will highlight how our latest innovation - Distributed Tracing in Grafana Cloud k6 - lets you go from performance tests to root cause analysis in just a few clicks.

Join this technical session to learn how to effectively manage your NGINX Open Source and Plus instances through their lifecycle.We will cover such topics as:- Version Management and CVE Patching- NGINX Open Source and NGINX Plus- NGINX App Protect- NGINX Instance Manager- NGINX One*Privacy Policy Information*Complete the form to register for the webinar and be contacted about F5 products and services. The information you provide will be treated in accordance with the F5 Privacy Notice. Opt out at any time, or contact us to register without opting in.https://www.​f5.​com/company/policies/privacy-notice

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.

In the rapidly evolving digital landscape, mainframe transformation is crucial for organizations striving to remain competitive and agile. Transitioning mainframe development and operational environments can be intricate and demanding. However, with the advent of Generative AI (GenAI) and AI/ML capabilities, the integration of Artificial Intelligence presents a compelling solution to overcome common mainframe challenges, such as the diminishing and aging pools of mainframe expertise, while unlocking a multitude of benefits.Join us for an exclusive webinar with IDC Analyst Stephen Elliot as our guest speaker. Dive into the transformative potential of AI in Mainframe Transformation. This session will explore how AI-driven task automation and real-time analytics foster superior efficiency and innovation. Discover how cloud platforms can enhance flexibility, reliability, and agility, optimizing mainframe application development and operations. Learn how the synergy of AI services delivered in the cloud simplifies talent attraction and retention, boosts productivity, and secures a competitive edge.Learn how AI services delivered in the Cloud impact:People: Enhance talent attraction and retention and accelerate onboarding and training.Process: Streamline workflows, improve operational efficiency, and enable quicker adaptation to business needs.Culture: Foster a culture of innovation and drive continuous improvement within the organization.Efficiency: Enhance productivity and operational effectiveness by utilizing BMC's award-winning solutions powered by AI and Machine Learning.Featured Speakers: Stephen Elliot - Group Vice President, I&O, Cloud Operations, and DevOps, IDC; David Jeffries - Vice President of R&D, BMC Software; Priya Doty - Vice President of BMC AMI Solutions Marketing, BMC Software; Anthony Distauro - R&D Solutions Architect, BMC Software.

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).