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Title: AI-Powered Observability for Cloud-Native Systems: Leveraging Large Language Models in Platform-as-a

YouTube Live: https://youtube.com/live/jMhcqbixl58?feature=share

Session Description: As global investment in public cloud services is projected to surpass $723 billion by 2025, organizations are rapidly shifting toward microservices-based, cloud-native platforms. Yet, conventional observability tools often struggle to deliver actionable insights in these dynamic, distributed environments slowing down diagnostics, root cause analysis, and performance optimization. This session presents a transformative approach to observability by embedding Large Language Models (LLMs) into Platform-as-a-Service (PaaS) ecosystems, enabling intelligent automation and deeper visibility across the application stack. Attendees will explore a real-world financial services case study where LLM integration led to a 43% reduction in mean time to resolution (MTTR), 57% decrease in false positives, and a 70% boost in developer productivity through intelligent code refactoring. Using a mixed-methods evaluation strategy combining telemetry data, qualitative insight analysis, and statistically validated A/B testing the talk demonstrates clear gains in system efficiency (25%), failure reduction (28%), and customer satisfaction (18%) post-migration. Advanced simulations also reveal a projected 3.4x return on investment over three years using Monte Carlo techniques. The presentation offers a practical, modular framework for integrating LLMs into existing observability pipelines, with strategies to address real-world challenges including privacy, explainability, and model generalization. Topics such as federated learning, confidence scoring, and ethical AI design principles will be explored. Ideal for cloud architects, DevOps engineers, and platform leaders, this session bridges technical depth with business value charting a path toward self-healing, multimodal observability, and domain-specific LLMs for enterprise-grade resilience.

Be Ready to Engage:

• Bring a notepad – this is a content-rich session!
• Submit your questions beforehand via Comments.
• Ask questions live via comments or join the stage with camera/mic access – just reach out to us in advance if you’d like to participate on screen.

Email: [email protected] LinkedIn: https://www.linkedin.com/company/microsoft-user-group-uttar-pradesh-power-bi-club/ WhatsApp Community: https://chat.whatsapp.com/C7jqrw5ZTkl9tledkqqVu7

Session Tittle: Decoupling Compute and Storage: Enabling Intelligent, Scalable Data Platforms

YouTube : https://youtube.com/live/_AiWaAuWahk?feature=share

Description: Cloud-native architectures are transforming enterprise data strategy, with the decoupling of compute and storage emerging as a foundational pattern for building scalable, agile, and intelligent systems. This session will explore how this shift empowers organizations to unlock performance, flexibility, and cost-efficiency capabilities that align closely with the principles of Microsoft Fabric. We’ll examine how independent scaling of storage and compute enables teams to right-size infrastructure to workload demands, eliminate overprovisioning, and avoid vendor lock-in. Drawing on research from Flexera, Deloitte, and Gartner, we’ll share how leading organizations have achieved up to 38% in cloud cost savings, improved time-to-insight by 53%, and accelerated machine learning delivery by up to 72%. The session highlights practical applications through services like Azure Blob Storage, Azure Data Lake, and serverless compute patterns demonstrating how decoupled architectures fuel streaming, batch, and real-time workloads across lakehouse ecosystems. We’ll also explore how these designs reduce data silos by over 60%, enhance AI adoption by 44%, and drive agility in multi-cloud and hybrid environments. Attendees will gain actionable insights into how Microsoft Fabric’s unified data platform supports decoupled architectures enabling seamless data integration, governance, and analytics at scale. This talk is ideal for data architects, engineers, and technology leaders looking to future-proof their data stack and drive innovation through intelligent cloud-native design.

Session Title: Agentic AI in Action: Scalable Architectures and Workflows for the Enterprise Session

YouTube: youtube/live/agenticai

Description: Agentic AI represents a breakthrough in how intelligent systems perceive, plan, and execute complex tasks autonomously. In this session, we explore how agent-based architectures evolve beyond traditional automation to deliver enterprise‑ready, goal‑directed intelligence. We’ll dissect core components—perception modules, planning engines, decision frameworks, adaptive learning loops, and execution systems—and examine how each contributes measurable performance gains. You’ll gain insights into coordination models that support large‑scale multi‑agent systems, from hierarchical and market‑based approaches to self‑organizing frameworks, with real‑world examples in dynamic domains like supply chains, manufacturing, and distributed sensing. We will also highlight operational workflows that drive efficiency—such as dynamic resource allocation and robust exception handling—showing how these directly translate into higher utilization and resilience. Finally, we address technical and ethical considerations, including explain ability, governance, and alignment with human oversight, giving attendees a clear blueprint for adopting scalable agentic AI within their own organizations. Be Ready to Engage: Bring a notepad – this is a content-rich session! Submit your questions beforehand via Comments. Ask questions live via comments or join the stage with camera/mic access – just reach out to us in advance if you’d like to participate on screen.

Session Title: AI-Powered Insights: Boosting Data Performance Across Enterprise Fabric Stacks

Session Description: Artificial Intelligence (AI) is accelerating data performance across Microsoft-centric enterprise environments, transforming how organizations visualize, analyze, and act on data. This session delivers real-world insights on AI integration across four critical pillars: data visualization, AutoML, unified analytics platforms, and large language models (LLMs). Drawing from cross-sector case studies, we’ll examine how AI-augmented tools like natural language queries, smart dashboards, and anomaly detection enhance Microsoft Fabric experiences enabling faster, more inclusive decision-making. AutoML platforms are streamlining model development, reducing time-to-value by over 50% in business scenarios ranging from sales forecasting to quality control. Integrated analytics solutions minimize data prep and accelerate insight delivery by up to 70%, with Fabric’s end-to-end tooling serving as a foundation for scalable automation. We also explore how LLMs elevate accessibility through conversational interfaces and intelligent code generation improving exploration and productivity across roles. While AI unlocks tangible benefits, we’ll also address key limitations including data governance and model oversight. Attendees will gain actionable guidance on evaluating and operationalizing AI capabilities within their existing Microsoft Fabric ecosystem to drive measurable improvements in data-driven outcomes.

Be Ready to Engage: Bring a notepad – this is a content-rich session! Submit your questions beforehand via Comments. Ask questions live via comments or join the stage with camera/mic access – just reach out to us in advance if you’d like to participate on screen.

Email: [email protected]

YouTube: https://youtube.com/live/bv4NRe3chdo

As AI, IoT, and cloud technologies converge to reshape digital experiences, the need for ethical, sustainable, and human-centered UX design is more urgent than ever. This talk introduces Conscious UX Design through the lens of the Chakra System an ancient Indian framework connecting human well-being to energy centers. Each of the seven chakras security, creativity, self-esteem, compassion, communication, insight, and spiritual connection offers guiding principles for crafting UX that addresses not just usability, but emotional, mental, and social health.

By applying these principles, designers can promote ethical choices, reduce cognitive strain, and build digital products that resonate deeply with human values. This session positions Conscious Design as an evolution of traditional methods like Contextual, Lean, and Agile Design, with a stronger emphasis on social and environmental impact.

Featuring real-world use cases such as AI-enhanced pathology prediction and voice technology, the talk makes a compelling case for UX that is not only context-aware but also compassion-driven. Ideal for designers, developers, and tech leaders, this session will demonstrate how aligning UX with mindful frameworks can lead to more responsible and empowering digital ecosystems. Be Ready to Engage:

• Bring a notepad – this is a content-rich session!
• Submit your questions beforehand via Comments.
• Ask questions live via comments or join the stage with camera/mic access – just reach out to us in advance if you’d like to participate on screen.

Don’t miss this opportunity to explore the future of AI! Email: [email protected]

YouTube Live: https://youtube.com/live/hawubgDrf_s?feature=share

Healthcare’s digital transformation is accelerating and modern architecture is at its core. This session explores how cloud-based data integration and microservices are reshaping healthcare delivery, especially in rural and underserved communities. With over 80% of patient data residing outside any single system, fragmentation remains a critical challenge. Microsoft Fabric and standards-based APIs are enabling unified, scalable platforms that improve access, speed, and outcomes. Learn how integrated health information exchanges have reduced preventable readmissions by 30% and duplicate lab testing by 52%.

The adoption of FHIR standards up from 14.8% in 2017 to 58.3% in 2022 is fueling this interoperability. Meanwhile, microservices are driving a 62% increase in transaction throughput and 47% faster response times, while cutting deployment time by 74% and infrastructure costs by 57%. Real-world examples include mobile health apps that significantly improved chronic disease management and telehealth systems that expanded specialist access in rural India by 58%.

These solutions were mission-critical during COVID-19 and remain vital in building resilient, equitable healthcare systems. Whether you’re a developer, architect, or health leader, this session offers practical strategies to leverage Microsoft Fabric and modern architecture for connected, patient-centered care. Be Ready to Engage:

• Bring a notepad – this is a content-rich session!
• Submit your questions beforehand via Comments.
• Ask questions live via comments or join the stage with camera/mic access – just reach out to us in advance if you’d like to participate on screen.

Don’t miss this opportunity to explore the future of AI! Email: [email protected]

Ethical AI in Neurotechnology: Ensuring Privacy and Equity in Brain Data Use

https://youtube.com/live/cudKna8c_e8?feature=share

The session will examine both moral and security challenges in this meeting that result from AI-driven neurotechnology particularly regarding the protection of brain data privacy and its distribution among various backgrounds and security risks involved. Brain-computer interfaces (BCIs) along with neuroprosthetics and neurostimulation technologies push forward according to new advancements that create enormous potential for human enhancement. The recent breakthroughs in neuroscience technology create fundamental challenges concerning the invasion of our most protected mental operations. Our analysis will examine the privacy threats of brain data collection processes alongside the damages from unauthorized system entry and AI limitations to correctly analyze or properly handle these data types. The assessment of AI bias will show how minority populations experience disproportionate negative effects from exclusive neurotechnology systems. The session analyzes neurological security risks connected to artificial intelligence-based neurotechnological products through a focus on both neurohacking potential and brain data unsafe manipulation. The discussion following ethical AI design principles concentrates on highlighting transparency as well as control measures for developers who need informed consent when creating neurotechnologies. This section will study regulatory deficiencies alongside a plan for worldwide standards to achieve equal access alongside enforcement in mind. The session will end with participants obtaining real-world expertise about responsible implementation of AI-driven neurotechnologies which places equal importance on preserving human dignity and autonomy and promoting equity. The crucial discussion arises because we are approaching an era where AI and neurotechnology systems will become essential to healthcare and cognitive enhancement and accessibility needs ethical consideration alongside technological development.

Quantum AI in Pharma: Accelerating Precision Drug Discovery with Next-Gen Tech

Join Live on YouTube: Click on me!

Description

Drug development remains one of the most time-intensive and expensive undertakings in healthcare, often spanning over a decade and costing more than $2.8 billion per approved drug (DiMasi et al., 2016). With only 13.8% of drug candidates advancing from Phase I trials to regulatory approval (Wong et al., 2019), the industry urgently needs transformative solutions. This session explores how the intersection of quantum computing and artificial intelligence is driving a paradigm shift in early-stage drug discovery.

Quantum computing’s unique ability to simulate molecular systems using principles like superposition and entanglement enables exponentially faster and more accurate modeling of drug-target interactions. Algorithms such as the Variational Quantum Eigensolver (VQE) and Quantum Approximate Optimization Algorithm (QAOA) have demonstrated early success in achieving chemical accuracy for small molecules, paving the way for high-impact pharmaceutical applications.

Leading tech and pharma partnerships such as those between IBM, Google’s Quantum AI, Pfizer, and Merck are now leveraging quantum AI to reduce discovery timelines by up to 40% and lower R&D costs significantly. This convergence is also enhancing personalized medicine by uncovering complex genomic patterns that inform tailored therapies.

With quantum devices exceeding 100 qubits expected within a few years, now is the time to understand and invest in quantum-enhanced AI for pharma.

One-Click Disaster Recovery: Secure, Scalable Resilience Across Hybrid Fabrics

YouTube: https://youtube.com/live/_4DA7rxG2Tg?feature=share

As enterprises scale across hybrid and distributed infrastructures, disaster recovery (DR) strategies must evolve to be faster, smarter, and more secure. Yet over 60% of organizations still miss their recovery time objectives (RTOs), largely due to fragmented tooling, manual interventions, and limited testing. This session presents a unified disaster recovery approach architected for the Microsoft Fabric ecosystem enabling single-click failover, secure isolation, and automated testing across environments.

At the heart of this platform is a dual-layer isolation framework that combines micro-segmentation and container-level boundaries to prevent lateral threat movement and preserve data integrity during recovery. Immutable, air-gapped replication with read-only snapshots reduces breach risk by 72% compared to traditional DR models. Automation drives significant operational gains: organizations can replicate production environments including applications, data, and configs with one click, achieving 5x more frequent, disruption-free testing. One global financial services firm saw a 80% reduction in DR test time and improved recovery consistency across 27 units.

The solution also ensures compliance via policy-as-code enforcement and cryptographic audit trails, supporting sector-specific regulations in finance, healthcare, and the public sector. Proven results include a 50% cut in DR-related costs, 43% fewer recovery errors, and seamless cross-site failover. Designed for IT leaders, architects, and continuity planners, this session offers actionable insights on building resilient, policy-driven DR using Fabric-compatible cloud-native patterns.

Session Title: Language Intelligence for Safer, Smarter Autonomous Mobility

Commudle Link : Visible after RSVP (for video & mic access)

YouTube: https://youtube.com/live/1Mc4mvrJD3o?feature=share

Session Description: Large Language Models (LLMs) are revolutionizing the autonomous mobility landscape — enabling deeper contextual understanding, flexible decision-making, and more natural human-machine interactions. Join us for an exclusive deep dive into real-world LLM deployments that are breaking away from traditional AV (Autonomous Vehicle) pipelines.

In this session, we’ll explore:

• Waymo’s EMMA system: Achieved 16% fewer perception errors and 24% fewer disengagements using a unified transformer with cross-modal attention.
• DeepSeek R1 (China): A reasoning-first driving model adopted by BYD and others, designed to align with local driving norms.
• DriveMLM Framework: Boosts command interpretation accuracy by 87% and improves user trust by 34%.

We’ll also cover key advances such as:

• Up to 18% better rare object classification
• 23% reduction in false positives via contextual LLM filtering
• Technical challenges like high computational demands (>100 TOPS), real-time constraints, and regulatory considerations for probabilistic behaviors

This session will also introduce emerging solutions including:

• Hybrid neuro-symbolic architectures
• SOTIF (Safety of the Intended Functionality) compliance
• Edge AI optimizations

Our expert speaker, who holds 2+ patents in the field, brings deep technical insight and hands-on experience in deploying LLMs in safety-critical environments.

How to Join: 🔗 The session link will be visible after you RSVP. 👉 RSVP now to reserve your spot.

Be Ready to Engage:

• Bring a notepad – this is a content-rich session!
• Submit your questions beforehand via Meetup Comments.
• Ask questions live via comments or join the stage with camera/mic access – just reach out to us in advance if you’d like to participate on screen.

Don’t miss this opportunity to explore the future of autonomous driving through the lens of AI and language intelligence.

Email: [email protected]