Vish Saoji

💡 AI doesn’t just change how code is written – it changes expectations and outcomes. In the final section of Jellyfish’s AI Adoption Guide, we explore how expectations for engineering leaders are evolving as AI becomes embedded across the SDLC. Because the organizations pulling ahead are treating AI as a transformation, not a tooling upgrade. Inside, you’ll explore: - Why AI adoption is quickly becoming a leadership mandate, not an option - How to balance ambitious goals with realistic expectations - What cultural investments are required to sustain long-term gains - How data can be used to align executives and engineering teams The teams that win in the AI era won’t just have better tools – they’ll have leaders who know how to guide change. Download today: https://lnkd.in/dut_6WpQ

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Identity verification shouldn’t take weeks of integrations, custom logic, and stitching APIs from five different standards. Hovi Core SDK gives developers a single, unified way to verify any credential SD-JWT, mDocs, JSON-LD, and more. One API call. One pipeline. Zero complexity. From strong authentication to automated access control and reusable KYC/KYB, you can make your app identity-aware without becoming identity-complex. Build trust once. Scale it everywhere. #Developers #DigitalIdentity #VerifiableCredentials 

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Engineering managers: budget constraints, economic and political uncertainty, and the persistent burden of tech debt are all impacting how you lead your teams - not to mention the perception and usage of AI coding tools. The 2025 State of Engineering Management report uncovers research into all these areas. Tricia Gregg summarizes 3 takeaways from the SEMR: 🧭 Navigating Engineering Well-being and Productivity 🌊 Adapting to Evolving Workforce Dynamics 🤖 Embracing the Transformative Power of AI And she has also included considerations for each to tackle each head on here: https://lnkd.in/gS-QMYRF

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With AI adoption and deeper integration into enterprise products, the world moves toward being collectively intelligent. First movers will have a distinct advantage. Fully backward-integrated AI companies are best positioned to win on economics.

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📖 Scale your tenants, not your growing pains. As SaaS platforms grow, teams often hit friction from manual sharding, noisy neighbors, and rigid schemas. These challenges create operational drag and slow innovation. In this new guide, learn how teams like Atlassian, Manus, and Conga use modern data architectures to scale multi-tenant platforms with less complexity. Inside, you’ll learn how to achieve: 🔸 Elastic scalability without manual sharding 🔸 Strong tenant isolation for true multi-tenancy 🔸 Real-time, in-app analytics 🔸 Faster development with fewer operational constraints Download the free guide: https://ow.ly/1RIE50XZJUP #SaaS #MultiTenancy #DistributedSQL #TiDB #DatabaseArchitecture

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#AIJourneyWithMaheshRaja post #8 its been a while I wrote on my core ( AI ) Most of you know that like in any organization we at Conscendo paving our way to become an AI driven organization on par with Industrial paradigm shift that is happening, We too feel the pressure of "AI FOMO ( Feelingof Missing Out )." We see the headlines and feel we need to implement something immediately. But rushing in without a roadmap often leads to failed POCs and, more importantly, lot of invalid learning and may be a risk-scoring of breach of customer trust Here are my three main takeaways on how to approach AI the right way: 1. Identify Bottlenecks, 2. Plan for Fool proof Trust Layer 3. Nominate an AI focal point in the organization 1) In my experience with AI, The most successful AI implementations don’t start with the technology; they start with the team on the ground, check "Where and What are our bottlenecks", 2.) If AI team can’t guarantee that our proprietary data won’t be used to train public models, the risk to our brand is too high. 3) Appoint an AI Champion AI isn't just an "IT project." It requires a Single Point of Contact (SPOC) who understands both the business goals and the technical limitations. Without a dedicated champion to navigate the "hallucinations" and refine the outputs, projects often stall at the demo stage. Let’s stop racing to be first and start racing to be the most reliable. I’m curious to hear from my network-are you currently testing AI in your workflows? What has been your biggest hurdle so far? #ArtificialIntelligence #SMB #DigitalTransformation #BusinessStrategy #Leadership #AIAdaption #Salesforce #ConscendoTechnologies

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In the architectural landscape of 2026, the "one-size-fits-all" API is a relic of the past. As enterprises scale across web, mobile, and even IoT devices, the diverse data requirements of these platforms have made a single, monolithic backend a...

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Beyond the hype, the true value of GenAI lies in how it can reimagine workflows—within our own organizations and across the industry. Discover how emerging tech transforms operations: https://1blk.co/4oKiYu4

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