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Agentic AI: The Next Leap in Intelligent Systems by Sagar LadBecome the AI Generalist that makes big $ Using AIDid you know that, Sam Altman has predicted that by 2025, AI will impact over 50% of knowledge-based jobs, data analysis, financial planning, strategic decisions, auditing, and creative work that once required specialists.While others worry about being replaced, you can profit from this transformation. The future belongs to AI-powered generalists who can leverage AI to deliver specialist-level results.And you could be the next one to do it!So..Join Outskill's 2 day AI- Mastermind this weekend (usually for $895) and become an AI expert.Register now for freeWhen: Saturday and Sunday, 10 AM - 7 PM.In just 16 hours & 5 sessions, you will:✅ Build AI Agents and custom bots that handle your repetitive work and free up 20+ hours weekly✅ Learn how AI really works by learning 10+ AI tools, LLM models and their practical use cases.✅ Learn to build websites and ship products faster, in days instead of months✅ Create professional images and videos for your business, social media, and marketing campaigns.✅ Turn these AI skills into10$k income by consulting or starting your own AI services business.Learn million $ insights used by biggest giants like google, amazon, microsoft from their practitioners 🚀🔥Unlock bonuses worth $5100 in 2 days!🔒day 1:3000+ Prompt Bible🔒day 2: Roadmap to make $10K/month with AI🎁Additional bonus: Your Personal AI Toolkit BuilderJoin now for $0SponsoredSubscribe|Submit a tip|Advertise with UsWelcome toBIPro112 – Expert-Led Edition, your weekly digest on the latest in business intelligence and data innovation.This week,we’refeaturing an expert perspective fromSagar Lad, Data & AI Solution Architect, who unpacks the fundamentals, enablers, and challenges ofAgentic AI,the next leap toward intelligent, goal-driven systems. Expect a deep dive into how AI is evolving from reactive models to autonomous, adaptive agents.Alongside this thought leadership, we round up the newest updates shaping the BI landscape:Looker’s Conversational Analytics API: Bringing natural language analytics into everyday appsPower BI’s Semantic Model Refresh Templates: Streamlining refresh workflows with guided pipelinesMicrosoft Fabric Real-Time Intelligence with Schema Registry: Building schema-driven, reliable event pipelinesAs always,we’vecurated these updates to help you stay ahead of the curve in data and BI.Let’sjump in. For tech leaders shaping AI strategy in the enterpriseAI adoption brings real pressures:Prove ROI on LLM initiatives.Protect data privacy & compliance when using open-source models.Scale responsibly without being derailed by hallucinations, talent gaps, or security risks.That’s why we built TechLeader Voices by Packt — a newsletter that delivers real-world playbooks, frameworks, and lessons from frontline AI leaders.Subscribe before Friday and unlock the Executive Insights Pack — including 1 report, 1 case study, and 5 power talks.Join TechLeader Voices to Access the PackCheers,Merlyn ShelleyGrowth Lead, PacktAgentic AI: The Next Leap in Intelligent Systems | by Sagar LadArtificial Intelligence has already transformed industries with predictive analytics, natural language understanding, and generative capabilities. But most AI systems today are reactive — they respond to prompts, execute predefined tasks, or generate outputs within bounded contexts. The next evolution is Agentic AI: systems that can act autonomously, pursue goals, adapt to environments, and coordinate with other agents to achieve outcomes with minimal human intervention.This article explores what Agentic AI is, why it matters, its architectural principles, key enablers, technical challenges, and enterprise applications.What is Agentic AI?At its core, Agentic AIrepresentsa shift from stateless, prompt-driven systems (e.g., today’s chatbots and LLMs) to autonomous, goal-oriented agents. An agentic AI system can:Perceive— Gather information from structured and unstructured sources (APIs, sensors, documents).Reason— Apply contextual knowledge, logic, and planning todeterminethe best course of action.Act— Execute tasks, trigger workflows, or interact with digital/physical systems.Adapt— Learn from feedback, outcomes, and environment changes to improve future performance.Agentic AI at its CoreUnlike traditional automation or AI models that need constant supervision, agentic systems can plan, prioritize, and execute multi-step tasks independently.The convergence of several technological trends is accelerating the rise of Agentic AI:Large Language Models (LLMs) as Reasoning Engines: Modern LLMs can interpret vague instructions, break them into sub-tasks, and suggest solutions.Tool Augmentation: APIs and plugins extend AI capabilities beyond text generation into search, data retrieval, code execution, and robotic control.Memory Architectures: Vector databases and knowledge graphs allow agents to store, recall, and refine knowledge over time.Orchestration Frameworks: Platforms like LangChain, Semantic Kernel, and Microsoft Prompt Flow enable chaining of multiple reasoning steps and tool calls.Cloud-Native AI Platforms: Services like Azure AI Foundry and AWS Bedrock are simplifying deployment and scaling of multi-agent systems.This technological maturity makes it possible to design agents that can operate with goal-directed autonomy while still adhering to enterprise safety, governance, and compliance standards.Architectural Principles of Agentic AIAgentic AI solutions typically follow a layered architecture:Perception Layer: Responsible for gathering and interpreting data from the environment. Technologies include sensors, Natural Language Processing (NLP), and Computer Vision to perceive text, images, and speech.Cognitive Layer: The brain of the system, encompassing reasoning and decision-making. Employs machine learning models, including reinforcement learning, to analyze inputs and predict outcomes.Action Layer: Executes decisions through physical or digital means. Incorporates feedback loops for self-correction and continuous improvement.Communication Layer: Enables interaction with users and other systems. Supports multimodal communication (e.g., text, voice, visual) for seamless integration.Press enter or click to view image in full sizeDive deeper and read the full piece on PacktHub Medium.This Week in BI🔳How to Scale Your AI Search to Handle 10M Queries with 5 Powerful Techniques?AI-powered search has become the norm since LLMs took off in 2022, with RAG as the backbone behind tools like ChatGPT and Gemini. This piece explores how to build and scale AI search systems, covering RAG basics, speed, uptime, evaluation, and advanced techniques like contextual retrieval, so you can deliver fast, reliable, and smarter search experiences.🔳Transforming business meetings to get real-time answers to data questions using Amazon Q in QuickSight.Business meetings often stall waiting on dashboards or reports. Amazon Q inQuickSightchanges this by letting teams ask natural language questions and get instant, multi-visual answers. This post shows how to use Amazon Q for real-time insights in meetings, analyzing sales, refining queries, and exploring trends without SQL or dashboards, making decision-making faster and moredata-driven.🔳Transform your Google Sheets data into powerful analytics with Amazon QuickSight:AmazonQuickSightnow supports Google Sheets as a data source, making BI workflows more accessible and collaborative. This guide walks admins through setup, including enabling AWS Secrets Manager for secure credential storage, configuring permissions, and connecting Sheets toQuickSight. With this integration, teams can analyze, visualize, and share insights directly from Google Sheets inQuickSight,faster, simpler, and more secure.🔳Committing to Apache Iceberg with our ecosystem partners:AI is pushing data architectures beyond traditional warehouses and lakes. Apache Iceberg has become the open standard for unifying siloed data, enabling interoperability, governance, and real-time analytics across platforms. Google Cloud, alongside partners like Databricks, Snowflake, Confluent,dbt,Fivetran, and Informatica, is doubling down on Iceberg to power openlakehouses, unlocking flexible, secure, and AI-ready data ecosystems without silos.🔳Understanding Looker’s Conversational Analytics API:Google Cloud has launched the Conversational Analytics API in public preview, bringing natural language data exploration into everyday apps and workflows. Backed by Looker’s semantic layer andBigQuery, the API lets developers embed chat-based analytics that deliver trusted answers, charts, and insights in real time. With agentic architecture, context retrieval, and enterprise security, it makes “chat with your data” a reality.🔳Schema Registry: Creating type-safe pipelines using Schemas and Eventstreams (Preview):Microsoft Fabric Real-Time Intelligence now includes Schema Registry forEventstreams, giving teams a centralized way to define, manage, and enforce event data structures. By registering schemas, organizations can ensure consistent, high-quality, and predictable pipelines while improving governance and data contracts between producers and consumers. Available in preview, Schema Registry strengthens real-time analytics, automation, and decision-making across Fabric RTI.🔳Meet Your Healthcare Regulation and Compliance Requirements with Purview Data LossPrevention (DLP) Policies:Healthcare organizations face strict compliance demands around PHI, from HIPAA to regional privacy laws. As teams adopt Microsoft Fabric for analytics and collaboration, Microsoft Purview Data Loss Prevention (DLP) helps protect sensitive data with automated PHI discovery, real-time user guidance, and detailed audit trails. With Purview DLP, healthcare providers can secure patient data,maintaincompliance, and build trust while enabling better outcomes.🔳Semantic Model Refresh Templates in Power BI (Preview):Power BI’s new Semantic Model Refresh Templates let you orchestrate and automate refresh workflows using Fabric Data pipelines. From scheduled and event-driven refreshes to incremental updates and sequencing multiple models, these templates simplify setup with guided tours and a gallery of common scenarios. You can even add post-refresh alerts, making refresh management more flexible, reliable, and collaborative.We’ll be back with more soon!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0}#converted-body .list_block ol,#converted-body .list_block ul,.body [class~=x_list_block] ol,.body [class~=x_list_block] ul,u+.body .list_block ol,u+.body .list_block ul{padding-left:20px} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}}

Rent the Runway’s Cloud SQL Transformation, The Power of ISVs in Microsoft FabricYour Exclusive Invite for the World’s first 2-day AI Challenge (usually $895, but $0 today)51% of companies have started using AITech giants have cut over 53,000 jobs in 2025 itselfAnd 40% of professionals fear that AI will take away their job.But here’s the real picture — companies aren't simply eliminating roles, they're hiring people who are AI-skilled, understand AI, can use AI & even build with AI.Join the online 2-Day LIVE AI Mastermind by Outskill - a hands-on bootcamp designed to make you an AI-powered professional in just 16 hours.Usually $895, but for the next 48 hours you can get in for completely FREE!In just 16 hours & 5 sessions, you will:✅ Learn the basics of LLMs and how they work.✅ Master prompt engineering for precise AI outputs.✅ Build custom GPT bots and AI agents that save you 20+ hours weekly.✅ Create high-quality images and videos for content, marketing, and branding.✅ Automate tasks and turn your AI skills into a profitable career or business.🧠Live sessions- Saturday and Sunday🕜10 AM EST to 7PM ESTAll by global experts from companies like Amazon, Microsoft, SamurAI and more. And it’s ALL. FOR. FREE. 🤯 🚀🎁 You will also unlock $5100+ in AI bonuses: 💬 Slack community access, 🧰 top AI tools, and ⚙️ ready-to-use workflows — all free when you attend!Join in now, (we have limited free seats!)SponsoredSubscribe|Submit a tip|Advertise with UsWelcome toBIPro113 | Your One-Stop Source for Business Intelligence InsightsThis issue is packed with breakthroughs shaping the future of BI: from ISVs redefining Microsoft Fabric to real-world AI frameworks delivering measurable ROI.We’vehandpicked the most compelling updates, case studies, and tools that will make you rethink how data, AI, and analytics come together.🔥 Highlights to ExploreThe Power of ISVs in Microsoft Fabric:How partners like Lumel, Neo4j, Esri, andStatsigare reshaping the ecosystem atFabConVienna.Fabric Real-Time Intelligence:Why this shift to agentic AI is moving enterprises from reactive to proactive operations.Rent the Runway’s Cloud SQL Transformation:Cutting $180K costs while speeding up developer cycles and scaling inventory insights.Amazon Q inQuickSight:Turning business meetings into real-time, interactive data conversations without dashboards or SQL.BigQueryML Gets Gemini and OSS Embeddings:13K plus models and Google’s top-ranking Geminiunlocka new frontier for RAG and semantic search.Wealth Wizards andQuickSightScenarios:Democratizing financial advice with AI-driven, self-service analytics for millions in the UK.Measuring AI’s Business Value:A three-part framework that ties efficiency, growth, and compliance directly to ROI.👉 Thisis more than a roundup. It is your curated lens into what is changing in BI right now and where the next big opportunities lie.Cheers,Merlyn ShelleyGrowth Lead, Packt📊 Data Viz Trends Shaping the Future of Insights➕The Power of ISVs: Unleashing Innovation in Microsoft Fabric:Microsoft Fabric’s ISV ecosystem is reshaping the future of data and AI. AtFabConEurope, partners unveiled tools that move organizations from raw data to AI-powered insights with speed. Highlights include Lumel’s enterprise planning, Neo4j’s graph analytics, Esri’s geospatial intelligence, andStatsig’sproduct experimentation, unlocking smarter decisions, richer context, and continuous innovation within Fabric’s trusted environment.➕Unify your data estate for the era of AI with Fabric Data Factory:Microsoft Fabric Data Factory is raising the bar for data integration withOneLake-powered Zero-ETL unification, petabyte-scale Copy jobs, and AI-driven Copilot experiences. Key updates include lower-cost, faster Dataflow Gen2, new cross-cloud mirroring for Oracle andBigQuery, and expanded pro-code/low-code orchestration. These enhancements simplify complex data estates, boost performance, and ensure enterprise-grade security and scalability.➕How Rent the Runway supercharges developer speed and insights with Cloud SQL:Rent the Runway modernized its data backbone by migrating from self-managed MySQL to Google Cloud SQL, cutting $180K in annual costs while boosting resilience and developer velocity. Cloud SQL now powers real-time inventory, streamlines schema changes, and enables CI/CD for databases. With built-in automation, observability, and scalability, Rent the Runway has built a future-ready foundation for growth and AI innovation.➕Transforming business meetings to get real-time answers to data questions using Amazon Q in QuickSight:Amazon Q inQuickSightbrings real-time, conversational BI to meetings by turning natural language questions into instant, multi-visual insights. Teams can skip dashboards and SQL, asking follow-ups on the fly to uncover sales trends, regional shifts, and customer behavior. Powered by Amazon Bedrock, it transforms business conversations into interactive, data-driven decision-making, faster, clearer, and more collaborative.🔄 Real-World Transformation: How Gen BI Made DataWork➕The Foundation for Powering AI-Driven Operations: Fabric Real-Time Intelligence.Microsoft Fabric Real-Time Intelligence is ushering in the age of agentic AI, moving organizations from reactive to proactive operations. By unifying live and historical data inOneLake, it empowers teams to capture signals instantly, analyze them in context, and trigger actions at scale. With tools likeEventstream, Digital Twin Builder, and Copilot, enterprises across industries are transforming real-time data into immediate outcomes, resilience, and lasting advantage.➕Power BI September 2025 Feature Summary:The September 2025 Power BI release, announced alongsideFabConVienna, brings major AI and Copilot upgrades. Copilot is now default-on with automatic workspaceselection, streamlining adoption. Key updates include editing semantic models in the service, enhanced DAX time intelligence, performance analyzer in web editing, and Direct Lake improvements. Visuals also expand with Zebra BI, Word Cloud, and Drill Down Combo Bar PRO. Certifications and live DataViz Championships capped the announcements.➕How SmugMug accelerates business intelligence with Amazon QuickSight scenarios:SmugMug is using Amazon Q inQuickSightScenarios to scale AI-powered analytics securely across its 200-person team and 100M+ user community. By enabling natural language queries, guided statistical analysis, and multi-source integration, Scenarios democratizes insights, speeds reporting, and strengthens governance. The result: faster decision-making, higher subscription conversions, cost savings, and self-service analytics without compromising data quality or compliance.➕Building Research Agents for Tech Insights:This blog is about building a niche AI agent that can automatically scout technology trends. It explains how to move beyond generic search results by using structured workflows, high-quality data sources, and prompt chaining. The approach combines data ingestion, NLP-based filtering, and caching to surface persona-relevant insights at scale, making trend analysis faster, cheaper, and more actionable.⚡ Quick Wins: BI Hacks for Instant Impact➕Deprecation of Power BI Integration within SharePoint Lists and Libraries:The upcoming retirement of Power BI integration with SharePoint lists and libraries means the “Visualize the List” and “Visualize the Library” features will soon be unavailable. This blog explains the deprecation timeline, key dates for report access ending in late 2025, and outlines alternative methods such as exporting directly to Power BI service or connecting through Power BI Desktop for advanced reporting.➕Use Gemini and open-source text embedding models in BigQuery:This blog is about the expansion of text embedding capabilities inBigQueryML, giving users more flexibility to choose models based on quality, cost, and scale. It introduces Google’sstate-of-the-artGemini embedding model, ranked top on MTEB, and support for 13K+ open-source Hugging Face models. With simple SQL commands, teams can now generate embeddings directly inBigQuery, enabling scalable, secure, and customizable AI-powered applications.➕How Wealth Wizards democratizes financial advice with Amazon QuickSight scenarios:This blog is about how Wealth Wizards, part of the Royal London Group, is using AmazonQuickSightScenarios to democratize financial advice and scale data-driven decision-making. By enabling self-service exploratory analysis, correlation metrics, and regulatory reporting, Scenarios reduced ad hoc analysis time by 40%, cut costs by 40%, and freed up engineering resources. The result is faster insights, improved compliance, and stronger financial outcomes for millions of UK adults.➕Docling: The Document Alchemist.Doclingis an open-source library that simplifies extracting structured data from messy documents such as PDFs, Word files, and scanned images. Originating from IBM Research and now under the Linux Foundation, it combines OCR, layout parsing, and table reconstruction into a single API. By converting unstructured content into Markdown, JSON, orDataFrames, it reduces data wrangling overhead and streamlines AI and analytics workflows.🎤 Voices of BI: Lessons from Industry Experts➕C4A Axion processors for AlloyDB now GA:Google Cloud’s C4A virtual machines, powered by custom Axion processors, are now generally available and bring major gains toAlloyDB. Designed for data-intensive workloads, C4A delivers up to 45% better price-performance than N-series VMs and as much as 2x higher throughput than Amazon’s Graviton4-based Aurora PostgreSQL. With flexible vCPU options, including a new 1vCPU entry tier, C4A enables cost-efficient, high-performance database operations at scale.➕Measure the value and impact of your AI:This is about a framework for quantifying the business impact of generative AI initiatives. It introduces a three-part approach: first, define success using four universal value drivers (efficiency, growth, experience, strategic advantage); second, calculate the full investment through total cost of ownership; and third, state ROI clearly. Using a chatbot example, it shows how this framework translates AI adoption into measurable value and rapid payback.➕Deliver Amazon QuickSight pixel-perfect reports to multiple customer groups:AmazonQuickSightnow enables organizations to deliver pixel-perfect reports with row-level security, streamlining complex multi-tenant reporting. Instead of managing hundreds of schedules for different customers and permission levels, teams can use a single dashboard and schedule to broadcast personalized reports securely. With integration into Amazon Redshift and built-in security features, this approach reduces overhead, improves efficiency, and simplifies enterprise-scale report distribution.➕A Focused Approach to Learning SQL:This is about choosing the right path to learn SQL, a core skill for working with relational databases and structured data. It explains why SQLremainsessential even in the age of AI tools, outlines beginner, intermediate, and advanced learning paths, and connects each to common data roles like analyst, scientist, and engineer. Practical advice, example projects, and career relevance highlight how SQL supports real-world data work.See you next time!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}}