Aiswarya Venkitesh

Aiswarya VenkiteshOct 15, 2026

Microsoft AI ecosystem, simplified. Microsoft is no longer building AI as a separate layer. It is weaving AI across productivity, data, security, development, business applications, cloud, and enterprise automation. At the productivity layer, Microsoft 365 Copilot connects with Word, Excel, PowerPoint, Outlook, Teams, OneNote, SharePoint, and Loop. For low-code and automation: → Power Apps → Power Automate → Power BI → Power Pages → Copilot Studio The enterprise stack goes much deeper: → Security: Defender, Sentinel, Entra ID, Purview, Intune → Business Apps: Dynamics 365 across sales, finance, service, and operations → Data & AI: Azure OpenAI, Microsoft Foundry, Fabric, Databricks, Machine Learning → Development: GitHub Copilot, VS Code, Visual Studio, Azure DevOps, agent services → Cloud: Azure Functions, SQL, Cosmos DB, Event Hubs, Logic Apps, AKS, Monitor → Analytics: Fabric, OneLake, Power BI, Synapse, Real-Time Intelligence The key point is simple: Microsoft is not creating just one Copilot. It is building an interconnected AI ecosystem where apps, data, agents, security, workflows, and analytics can work together. That is what makes the Microsoft stack so important for enterprise AI. Which part of the ecosystem are you learning right now? 𝗕𝗲𝗰𝗼𝗺𝗲 𝗯𝗲𝘁𝘁𝗲𝗿 𝗮𝘁 𝗔𝗜 𝗶𝗻 𝗷𝘂𝘀𝘁 𝟭 𝗺𝗶𝗻𝘂𝘁𝗲 𝗮 𝗱𝗮𝘆. 𝗝𝗼𝗶𝗻 𝗺𝘆 𝘄𝗲𝗲𝗸𝗹𝘆 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿 𝘄𝗵𝗲𝗿𝗲 𝗜 𝗱𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝘁𝗵𝗲 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝗷𝗼𝘂𝗿𝗻𝗲𝘆 𝗼𝗳 𝗔𝗜 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻. 👉 𝗦𝗶𝗴𝗻 𝘂𝗽 𝗳𝗿𝗲𝗲 now → https://avsl.beehiiv.com/ Follow Aiswarya Venkitesh for more such insights!!

Aiswarya VenkiteshOct 16, 2026

Forward Deployed Engineers work where code meets the customer. 🚀 They do more than build software. They enter complex customer environments, understand real business problems, connect fragmented systems, ship tailored solutions, and ensure everything works reliably in production. That requires a uniquely broad technology stack: → Programming & Scripting Python, TypeScript, JavaScript, SQL, and Bash help automate workflows, manipulate data, and build solutions quickly. → Data & Databases PostgreSQL, Snowflake, BigQuery, Databricks, and Redis support storage, transformation, and operational workloads. → Backend & APIs FastAPI, Node.js, Django, GraphQL, and Postman power services, integrations, and application logic. → Frontend & Product React, Next.js, Tailwind CSS, Vite, and Figma turn ideas into dashboards, internal tools, and customer-facing products. → AI & LLM Engineering OpenAI, Anthropic, LangChain, LlamaIndex, and Hugging Face enable retrieval, agents, and intelligent workflows. → Cloud & Infrastructure AWS, Azure, Google Cloud, Docker, and Kubernetes provide scalable deployment environments. → Deployment & DevOps GitHub, GitHub Actions, Terraform, Vercel, and Argo CD help teams ship consistently. → Integration & Monitoring Zapier, n8n, Datadog, Grafana, and Sentry connect systems and keep deployments observable. The goal is not to master every tool. It is to understand the full delivery lifecycle well enough to choose, integrate, and operate the right tools for each customer problem. Which layer would you strengthen first? 𝗕𝗲𝗰𝗼𝗺𝗲 𝗯𝗲𝘁𝘁𝗲𝗿 𝗮𝘁 𝗔𝗜 𝗶𝗻 𝗷𝘂𝘀𝘁 𝟭 𝗺𝗶𝗻𝘂𝘁𝗲 𝗮 𝗱𝗮𝘆. 𝗝𝗼𝗶𝗻 𝗺𝘆 𝘄𝗲𝗲𝗸𝗹𝘆 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿 𝘄𝗵𝗲𝗿𝗲 𝗜 𝗱𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝘁𝗵𝗲 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝗷𝗼𝘂𝗿𝗻𝗲𝘆 𝗼𝗳 𝗔𝗜 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻. 👉 𝗦𝗶𝗴𝗻 𝘂𝗽 𝗳𝗿𝗲𝗲 now → https://avsl.beehiiv.com/ Follow Aiswarya Venkitesh for more such insights!!

Aiswarya VenkiteshOct 15, 2026

My meeting starts before the call begins. That is where Granola can quietly make a difference. Instead of joining a meeting with scattered notes, half-remembered promises, and open questions buried across previous calls, Granola helps bring the right context back before my conversation even starts. Here is what that looks like: → It recalls my last conversation See what was discussed previously and bring key decisions back into view. → Surface previous commitments Remember what was promised, agreed, or left pending before anyone has to ask again. → Flag open questions Bring unresolved topics, blockers, and unanswered questions into the next conversation. → Remember customer priorities Keep important requirements, concerns, and constraints visible before the meeting starts. → Understand who is attending Reconnect attendees with past discussions so I know the context behind the people in the room. → Highlight what matters now Surface the topics that deserve attention based on what has already happened. → Build my Brief automatically Granola pulls the context together so I can prepare without manually digging through old notes. The real value is not just taking better notes. It is walking into meetings with better memory. When every previous conversation can shape the next one, meetings become more focused, follow-ups become sharper, and important context is much harder to lose. That is the shift from meeting notes to meeting intelligence with Granola. What would change if every meeting started with the full context? Checkout Granola Now, Link in the first Comment ! Follow Aiswarya Venkitesh for more such insights!!