Dinesh Rajput

Yotta Data Services Private Limited has launched Shakti Studio, a new serverless AI cloud platform designed to fast-track enterprise model-to-market journeys. The platform brings together elastic GPU compute, fine-tuning tools, and production-ready AI endpoints under a unified, compliance-backed environment. By combining compute, governance, and scalability, Shakti Studio eliminates infrastructure friction for enterprises, startups, and research teams alike. It represents a step forward in India’s mission to democratize access to advanced AI infrastructure and accelerate innovation securely. 🔗 https://lnkd.in/dHyzsHdJ #AIInfrastructure #MLOps #EnterpriseAI

1

Indium Unveils LIFTR.ai, an Agentic AI for App Modernization “Traditional modernization approaches are slow and risky owing to manual processes and limited visibility into complex codebases,” said Dhanasekar Mohan, Principal Solution Architect, Indium. “LIFTR.ai, which integrates specialized AI agents that work across analysis, design, and cloud migration, delivers speed and precision which are crucial for all enterprises, more so for those in Financial Services and Healthcare.” https://lnkd.in/dXV7zKFV #AITech365 #Cloud #GenerativeAI #GPUclusters #Indium #LIFTRai #LLMs #news

29

At #apidaysIndia, Naresh Jain will unveil a groundbreaking approach to API workflow testing that bridges REST and event-driven architectures. His session "From REST to Events: API Workflow Testing and Mocking with a Single Arazzo Spec" promises to revolutionize how we think about API testing and mocking. Using the Arazzo Specification, Naresh will demonstrate how to drive end-to-end API workflow testing across synchronous and asynchronous operations. Want to see how mocking complete workflows can unblock development and accelerate CI pipelines? Read more about his apidays India session here: https://lnkd.in/gaRWWMPk #apidays #Specmatic #APIdesign #APIWorkflowTesting #Arazzo #APImocking #APItesting Specmatic

2

🔐 Security First Isn’t Just a Talk—It’s a Culture Shift. At #OpenSourceIndia2025, Pralhad Sonar reminded us: choosing an open-source framework isn’t just a technical decision—it’s a business-critical one. As founders and tech leaders, we often chase agility, flexibility, and cost-efficiency. But Pralhad's message was clear: security governance must lead the way. At Codexa Craft, we're adapting this mindset across our compliance and onboarding stack: ✅ Frameworks with active, security-conscious communities ✅ Automated vulnerability scanning baked into our CI/CD pipelines ✅ Supply chain audits for every OSS dependency We’re not just building tech - "we are building trust". And that starts with choosing open-source tools that scale securely, ethically, and compliantly. If you're a founder navigating digital transformation, let's talk about how “Security First” can become your competitive edge. #CodexaCraft #SecurityFirst #OpenSourceIndia #DigitalTrust #FounderTech #ComplianceByDesign #DSC #GovTech #CustomerSuccess #PralhadSonar

16

1 Comment

Tech Data Appointed as Value-added Distributor for Elastic in India The collaboration enables India’s partner ecosystem to build context-aware AI applications with the Elasticsearch Platform The partnership grants Tech Data India distribution rights to Elastic's complete suite of solutions, enabling partners and customers to leverage real-time insights, enhance system performance, and strengthen cybersecurity resilience by deploying the Elasticsearch Platform. The partnership reinforces Tech Data’s commitment to expanding its analytics and AI-driven solution portfolio for the India market under Destination AI™ - a strategic initiative that provides partners with comprehensive AI-centric-resources from awareness to post-sales stage. Read Press Release: http://ms.spr.ly/6043tj6CU #TechData #DestinationAI Sundaresan Kanappan, Sheela Acharekar, Sanjay Hosali, Kulbir Singh Mangat

103

2 Comments

7NF column-first binary relation has toplogical invaliant, 2, in which at most one attribute column per table besides metadata and at most two foreign key columns (FK and AFK) per table constraints are given. Therefore 7NF becomes a basement of a collection of row-oriented homomorphism. The row-oriented homomorphism becomes a categorical view in composing multiple attributes around the center table if the cardinality is one-to-one or zero relation between the center and attribute. Each attribute table belongs to one center table (tight coupling with FK not AFK if any). Therefore there is no ambiguity in forming categorical view on top of 7NF. The center tables are related through binary relation tables so that the categorical view objects can be naturally transformed with simple generic library based on the toplogical invaliant. https://lnkd.in/gftjv64y - Core Idea 1. 7NF with strict constraints: * At most one attribute column per table (besides metadata). * At most two foreign keys per table. 2. Center tables: * Act as hubs for attributes. * Attributes link to centers via one-to-one or zero cardinality. * Each attribute belongs to exactly one center → no ambiguity in categorical mapping. 3. Binary relation tables: * Connect center tables. * Enable higher-order composition across centers. Why This Matters 1. Topological invariant = 2: * Schema graph remains planar and predictable. * Euler characteristic χ=2 ensures structural simplicity. 2. Categorical view: * Objects = tables (center or attribute). * Morphisms = foreign keys. * Composition of attributes around a center forms a ring-like structure. 3. Generic library: * Can traverse schema graph. * Apply categorical transformations. - 7NF is unbounded truth and bounded contexts can be composed and discarded on top of it as we wish. https://lnkd.in/gEjzFg_T Bounded contexts must be mutually exclusive to enable version up and down of their context independentlly. https://lnkd.in/gxeY8m3h Facts never change but context keeps changing in multi-dimensional space. https://lnkd.in/gEXbNB-y

1

8 Comments

#CIO #CTO #CDO #semanticlayers Finally, AI comes to reality for enterprises. Enterprises deal with fragmented processes, data, systems, and tech debt. Data governance is an Achilles' heel, and talking about the semantic layer is a nightmare. OpenAI Frontier builds a semantic layer that connects data warehouses, CRM systems, ticketing tools, and internal applications, giving AI agents a consistent view of how work flows through an organization. This is music. There is no #AI without #InformationArchitecture A million dollar question,should we outsource our data aka IP to OpenAI? What about #Governance and #privacy and for a company that is pretty low on it https://lnkd.in/gsMJv2RZ

20

How DockerWorks Internally... Explained Simply ..... What Happens When You work around Docker...........! 1. When you run docker build, Docker reads the Dockerfile line by line. It uses your current folder as the build context. 2. Each line in the Dockerfile creates a new image layer. These layers are saved as compressed files inside Docker’s storage. 3. Docker uses a union filesystem like OverlayFS. It stacks all layers to form a single container filesystem. 4. When you run docker run, Docker takes the image and adds a writable layer on top. This becomes your container. 5. The container is just a process on your machine. It runs with its own isolated environment using Linux namespaces and cgroups. 6. Namespaces isolate process ID, hostname, network, mount points, and shared memory. Cgroups control CPU, RAM, and I/O usage. 7. Docker gives the container a virtual Ethernet interface. By default, it's connected to the docker0 bridge. 8. If you use -p to map ports, Docker sets up iptables rules. This forwards traffic from your host to the container. 9. The Docker daemon (dockerd) runs in the background. It handles builds, containers, images, volumes, and networks. 10. The Docker CLI talks to the daemon using a REST API. It connects over a Unix socket or TCP. 11. Docker volumes live outside the container layer. They’re stored in /var/lib/docker/volumes and survive container restarts. 12. Any change inside the container is temporary. If you delete the container, the changes are gone unless saved to a volume or image. 13. Docker uses content-based hashes for layers. This makes layers reusable, cacheable, and easy to share. 14. When you push an image, Docker checks which layers are already in the registry. It only uploads what’s missing. Explore my DevOps journey here :- https://lnkd.in/dEMD-FDx What do we cover: DevOps, Cloud, Kubernetes, IaC, GitOps, MLOps Follow Sainathh Shivaji Mitalakar for more … 🔁 Consider a Repost if this is helpful If you’re on GitHub, feel free to follow me and say hello: https://lnkd.in/d2JSHYmd

3

Ripunjay Tripathi and Harish Perumal from ‍IITM Pravartak Technologies Foundation will be presenting on Access Methods in PostgreSQL — covering how planner cost models shape execution, how real-world workloads drive design choices, and how changes across the PostgreSQL engine redefine performance for modern systems.  📅 March 12 | Bengaluru 🔗 Session details  Indian Institute of Technology, Madras l Department of Science & Technology, Government of India l MJS Raman l G Veeraraghavan l Balamurali Shankar l Meenakshi Chidambaram l Rajendra Mootha l Ashutosh Kumar, आशुतोष कुमार l Balaji Krishnarajan l Gayathri Varadarajan l Vasan Srini l Renuka Sushil #iitm #iitmadras #iitmpravartak #PGConfIndia2026 #PostgreSQL #ShaktiDB #DatabaseEngineering

41

Amazon Web Services (AWS) has announced the launch of AWS Marketplace in India by end-2025, marking a true “UPI moment” for enterprise software procurement in the cloud-native era. Why it matters: Faster discovery & deployment of solutions from thousands of AWS Partners. Localized transactions in INR via UPI, net banking & cards Major boost to India’s $1T digital economy, backed by AWS’s $16.4B investment by 2030. At i2k2 Networks, as an AWS Advanced Consulting & MSP Partner, we simplify software procurement and deployment via AWS Marketplace. From selection to secure implementation, we’ve got you covered. Ready to explore AWS Marketplace with us? Let’s connect. Kamleshwar Bhatt Rahul Aggarwal Vivek Anand #AWSMarketplace #i2k2Networks #AWSpartner #CloudProcurement #DigitalTransformation

25

India’s AI journey is moving fast — from policy vision to real-world adoption. In Economic Survey 2025–26 (Chapter 14: Evolution of India’s AI Ecosystem – The Way Forward), we see how talent, data, compute, startups, and public infrastructure are coming together to shape the next phase of growth. Sharing a concise breakdown in this video. Would love to hear your thoughts. Built using NotebookLM #ArtificialIntelligence #EconomicSurvey #IndiaAI #AIinIndia #TechPolicy #NotebookLM

12

1 Comment

Andhra Pradesh has introduced the Swadeshi AI Stack in collaboration with IBM, signaling a strategic move toward localized and sovereign AI infrastructure. Core components: • Hybrid cloud architecture • Centralized datasets to support local startups • Regional language LLM optimization • Public sector AI compute backbone Parallel to this, Rajyatantr Arthashastra is operational for the 2026 political cycle, offering: • Real time voter sentiment analytics • Role based access control systems • Encrypted data governance • Automated narrative monitoring and execution Platform readiness metrics indicate strong execution capability across accuracy, speed, and regional language nuance. India’s AI strategy is expanding beyond adoption into infrastructure ownership and localized ecosystem development. #SwadeshiAI #AndhraPradesh #AIInfrastructure #DigitalSovereignty #IBMPartnership #AIGovernance #PoliticalTechnology #TechStrategy #AIinBusiness

1

Great start of the day here at the Great Asia AI Summit! Arundhati Bhattacharya opened the session with a Welcome Note on the Future of Agentic Enterprises. A strong opening that set the tone for how organisations are preparing for the next phase of enterprise AI. The summit is live right now! Join here: https://lnkd.in/g2VghNdQ Key takeaways from the session: • By 2028, nearly 38% of organisations are expected to adopt AI agents, showing how quickly AI is moving into real business environments. • The shift from AI tools to AI agents is redefining how work gets done across teams. • Building an agentic enterprise requires strong leadership, clear strategy, and teams ready to adapt alongside technology. 📍 Live at the Great Asia AI Summit 2026 #GreatAsiaAISummit #AppliedAI #EnterpriseAI #AIAtWork #AILeadership #FutureOfWork Salesforce

17

APIs: The Silent Gateways of Risk APIs may power the digital economy — but at #ETCISODecrypt2025, Hari Shankar Patnaik and Jayesh Boddu of Pronteff IT Solutions warned: they also open the back door to your crown jewels. In a world of hyperconnectivity and microservices, APIs are no longer just tech tools — they are business enablers and attack surfaces, all in one. They called for a mindset shift: CISOs must treat API security as strategic infrastructure, not an afterthought. Know more about ETCISO: https://lnkd.in/grwAMhDU #ETCISODecrypt #ETCISO #CyberSecurity #InfoSec #CyberThreats #DataProtection #RiskManagement #DigitalDefense #CyberResilience

37

Thrilled to see the Build with AI – Pune | GenAI Workshop from GDG Cloud Pune come alive at Data Axle India Workshops like these, exploring ADK, MCP, multi-agent systems, and real-world GenAI, show the true power of community-driven learning. And this is only the beginning. At Data Axle, we aim to build a vibrant, open tech-learning ecosystem with monthly community meetups focused on Python / Django, React, MS .net, C++, Amazon Web Services (AWS), Google Cloud, Databricks, AI, and its use cases, as well as in-depth architecture discussions and hands-on engineering sessions. If you are excited about sharing knowledge, hosting a meetup, or collaborating on tech events, please don't hesitate to reach out to me. Let’s grow this community together, make Pune a hub of continuous learning and innovation, and build a movement where learning never stops and everyone grows together.

23