Shaurya Agrawal

In the rapidly evolving landscape of automation, SS&C Blue Prism is making significant strides from traditional robotic process automation (RPA) to what they term agentic automation. This transition is not just a technological upgrade; it's a complete rethinking of how workflows are managed. As Steven Colquitt from Blue Prism points out, today's workflows are complex, requiring not just data but nuanced reasoning and decision-making that traditional RPA simply can't handle. Brian Halpin emphasizes that the future lies in empowering AI agents to achieve outcomes without rigid step-by-step instructions. This approach signifies a profound shift in automation philosophy, moving towards a more flexible, intelligent system. However, this journey is not without challenges. Trust, regulations, and the need for stability remain paramount before companies can fully embrace autonomous systems. SS&C Blue Prism is not just leading the charge; they're guiding businesses at a comfortable pace, ensuring that the transition is as seamless as possible. As they prepare to launch new technologies that integrate AI agents into workflows, it’s evident that the future of automation is not just about doing things faster but doing them smarter. Stay tuned for more updates from this fascinating journey. #Automation #AI #SS&CBluePrism #AgenticAutomation #RPA https://lnkd.in/eGkdkMhc

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Informatica has a great company brand statement: "Where data & AI come to life!" Continuing their thought leadership in this space, they have just released an eBook on "5 Top Ways to Quantify the ROI of AI-Powered Cloud Data Management — Calculating the Business Value of Informatica’s CLAIRE GPT"   The eBook is organized around these 5 Value Opportunities: 1️⃣Democratized Data Access Through Natural Language Querying 2️⃣Reduced IT Bottlenecks and Increased User Autonomy 3️⃣Improved Data Literacy and Professional Productivity 4️⃣Enhanced Data Governance Through Integrated Catalog and Lineage Views 5️⃣Accelerated Decisions with Faster Insight and Collaboration These value opportunities are presented within the context of CLAIRE® GPT (described below), emphasizing: (a) how it brings AI's power to everyone in the enterprise, and (b) its cross-industry business impact. This content is accompanied by a specific representative business value assessment (BVA) across 3 scenarios (see a summary of the 3 BVA scenarios in the attached chart), plus a series of 6 detailed industry-specific applications of CLAIRE GPT (Healthcare Providers, Manufacturing, Insurance and Investment Management, Retail, Banking, and Automotive). The eBook closes with a broadly helpful discussion of 4 BVA Best Practices: 1️⃣Be conservative in all projections and assumptions 2️⃣Emphasize transparency in all values and calculations 3️⃣Follow up and measure post-implementation results 4️⃣Use scenarios to reflect ranges of potential outcomes 📊📈💡→ ➔Download the Informatica eBook here: https://lnkd.in/dGAv7XJ9 What is CLAIRE® GPT? The eBook describes it this way: "the natural language interface of Informatica’s Intelligent Data Management Cloud™ (IDMC) platform. It tears down the barriers that once limited data tasks — such as data discovery, integration, quality, governance and master data management — to only highly trained specialists. With CLAIRE GPT, anyone in your organization — regardless of AI expertise or technical skills — can leverage IDMC’s features and capabilities. Through simple, conversational language, users find, produce, manage, protect and govern business-ready data, even across a broad and disparate data landscape. With CLAIRE GPT, all users in an enterprise can contribute to an organization’s efforts to leverage its data assets profitably and responsibly." #Sponsored

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At Apex AI, we work with growing teams to reduce manual work by embedding automation into day-to-day workflows. As businesses grow, manual work often outgrows the systems behind it. Reporting turns manual. Approvals become slow. Data gets stitched together. Not because the work is complex, but because the processes haven’t kept up. Apex AI fixes this by embedding automation capability directly into growing teams, designing and implementing systems that remove manual work at the source. Automation works best for; ✔️ High-volume, repetitive work ✔️Manual reporting and ✔️Builders looking to reduce operational drag while scaling We see automation as a way to design better systems early, to drive growth with better productivity and higher certainty. Browse our site https://www.meetapex.ai/ to explore certified AI automation experts, ready for integration. Apex AI ✨

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Looking to unlock peak Power BI performance with Snowflake? Our latest best practice guide shares expert tips on how to structure and manage your Snowflake data specifically for Power BI. Learn how to:  ➤ Optimize table design for faster queries ➤ Reduce compute costs ➤ Improve dashboard speed Read the full article: https://lnkd.in/e_mTYViM #PowerBI #Snowflake #BestPractices #DataAnalytics #BusinessIntelligence

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Informatica & Salesforce: A big move. But what about Agentic AI? A big congratulations to Amit Walia, Ansa Sekharan, Krish Vitaldevara, Pratik Parekh, Rik Tamm-Daniels, Sumeet Agrawal, and the entire Informatica team on their exciting new chapter with Salesforce. As a former senior executive at Informatica, who led Informatica #iPaaS and the #cloud platform, I'm excited about the strategic alignment of this merger. The Salesforce acquisition of Informatica is a clear win for analytics and data quality within the Salesforce orbit. It significantly strengthens their position for Tableau analytics and expands the MuleSoft iPaaS story with data integration. Yet, the demands of #AgenticAI and #Conversational #GenAI that must span all enterprise systems, not just CRM, remain a distinct challenge.  Does integrating an ETL giant truly equip Salesforce for agentic AI that needs to dynamically reason and act across a vast, always-fresh data landscape, in conversational latency?  At K2view, we look forward to complementing this newly formed analytical powerhouse by providing the real-time, operational data product foundation crucial for truly effective, cross-system conversational GenAI. 

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Snowflake isn’t just another warehouse upgrade, it’s the moment your entire data strategy grows up. Most enterprises don’t fail at cloud because of tools; they fail because they lift-and-shift technical debt: bloated schemas, legacy ETL, and three versions of “revenue” that never reconcile. A modern Snowflake migration must be about architecture, governance, and FinOps, not just moving tables. In the new AI-first world, your platform has to: Handle semi-structured data at scale Feed ML and GenAI safely Prove who accessed what, where, and why Keep cloud spend predictable and accountable That’s the bar ACI Infotech is designing for. Read the Blog: https://lnkd.in/gZWK2q7f #Snowflake #DataCloud #DataEngineering #CloudMigration #ModernDataStack #FinOps #DataGovernance #AIReady #CloudComputing

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AI conversations are full of buzzwords—agents, tools, workflows, RPA, often used as if they mean the same thing. They don’t. This blog breaks down what each term actually represents, how they differ in real systems, and why confusing them leads to fragile AI deployments, especially in voice, WhatsApp, call centers, and universities. If you’re building or evaluating AI systems, this clarity can save months of trial and error. https://lnkd.in/dDY2SU6R

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 Salesforce to acquire Informatica in a landmark $8B deal - a strategic move to elevate its AI and data infrastructure. This acquisition brings together Informatica’s enterprise-grade data management with Salesforce’s Agentforce AI and Data Cloud. The goal is to build the most complete, agent-ready data platform, empowering smarter, scalable decision-making across industries. The deal is set to close in early FY2027, marking a major step in Salesforce’s AI-driven growth strategy.

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Snowflake Cortex Code (Coco which is what we call internally) has been a true game changer for "thousands" of Solution architects, Sales Reps & Executives here at Snowflake as well as customers since we gained access with near 100% adoption. It elevates your technical skills, gives you skills that you don't even have, massively speeds up development cycles and allows you to build projects that you could never even dream of either due to lack of personal skills, knowledge or time. When you see Sales Reps & even executives who have 0 coding skills building their own #Python based #Streamlit applications that use #Cortex #AI functions by finding #data assets to monitor their own business, you know this thing works as advertised. Now, Imagine what your technical folks do with it! This is the year of building for #Snowflake both for our customers, architects and even sales teams. If you have not tried it, I HIGHLY suggest you go ahead & try it either within Snowsight UI or CLI version if you prefer to do local development. You will be glad you did! Docs https://lnkd.in/dKe-9SFe

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#Bestpractice Streamlining your #Anaplan models: A guide to effective 🧹cleanup 🧽 Keeping Anaplan models organized and auditable is crucial for efficient operations. Over time, these models tend to grow organically potentially causing clutter In this article we discuss Unused Functions, Dynamic Cell Access, Filters and Actions and explain how you can clean up. There is also this great article with additional help: https://lnkd.in/eJTagjuU https://lnkd.in/eP42Rger #anaplan #cleanup #planwithanaplan #planning If you want to stay updated on the latest Anaplan Best practices, please FOLLOW me. Unfortunately, I am at the max. of the number of LinkedIn connections and cannot take more. Go here to FOLLOW me: https://lnkd.in/eRsuBdF2   If you want to stay updated on Anaplan best practices, consider below links: *Anaplan Anapedia: https://help.anaplan.com/ *Anaplan Community: https://lnkd.in/eQEcRTrC *Anaplan LinkedIn community: https://lnkd.in/edy5XxcG   *Anaplan Blogs: https://lnkd.in/ethceVTC  *Anaplan Planual: https://lnkd.in/eS2vZtCC

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🚀 Informatica Cloud Data Quality (CDQ) Training | FREE Demo Class In today’s cloud-driven enterprises, data quality is no longer optional — it’s critical. Organizations using IDMC, IICS, CDI, and MDM need strong Informatica Cloud Data Quality (CDQ) implementation to ensure accurate, consistent, and trusted data. This Informatica CDQ training is designed to help professionals gain practical, real-world expertise in managing enterprise data quality using Informatica Intelligent Data Management Cloud (IDMC). 🔹 What you will learn: ✔ Informatica IDMC & IICS Architecture ✔ Data Profiling & Data Quality Dimensions ✔ Rule Specifications & Scorecards ✔ Dictionaries, Labeler, Cleanse & Parse Assets ✔ Deduplication & Matching Strategies ✔ CDI & MDM SaaS Integration ✔ Real-time Project Scenarios ✔ Interview & Resume Preparation 👨‍🏫 Trainer: Mr. Sujeet Patel • 14+ years of IT experience • 6 years onsite experience in Singapore • Extensive enterprise Data Quality & IDMC project exposure 🎓 Why InventModel? ✔ FREE Demo Class ✔ Live Instructor-Led Sessions ✔ Hands-on Labs & Use Cases ✔ Certification Guidance ✔ Job-Oriented Curriculum ✔ High Market Demand Skillset 📌 Who should join? Data Engineers | ETL Developers | Data Quality Analysts | MDM Consultants | Freshers & Working Professionals 👉 Explore course details & FREE demo here: https://lnkd.in/gWjnsBid #InformaticaCDQ #CloudDataQuality #InformaticaTraining #IDMC #IICS #DataQuality #DataEngineering #ETL #MDM #CDI #DataGovernance #OnlineITTraining #FreeDemoClass #ITCareers #DataCareers #InventModel

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Sumeet Agrawal, VP – Product Management for Agentic AI and iPaaS at Informatica, explains why the data layer is the unsung hero behind every successful agentic AI deployment—and what it takes to build one that’s scalable, secure, and smart. https://lnkd.in/d9Kr2r-2

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