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[AIM @Analyticsindiam]

🇮🇳 JUST IN: BharatGen is targeting a 1 trillion-parameter AI model by March 2027, backed by the IndiaAI Mission, 2,400 GPUs, and one of India's largest academic AI collaborations.

But perhaps its most ambitious goal isn't scale. It's affordability. BharatGen says its models already cost around ₹5 per million tokens, compared to roughly ₹13 for DeepSeek V4 Flash.

If India wants AI to reach every developer, startup, business, and citizen, the race isn't just about building the biggest model. It's about building one everyone can afford.

Read more: https://t.co/XUW8ALXCp6

@GoI_MeitY @iitbombay @YannLeCun
#BharatGen #IndiaAI #SovereignAI #GenerativeAI #ArtificialIntelligence

[AIM @Analyticsindiam]

AIM's 2027 India calendar, February to September: two MLDS editions, DES, the AIM GCC Summit and Cypher. Plan around it: https://t.co/wZlC8O6SMA

[AIM @Analyticsindiam]

Agents now write, review and test code, and merges still need a human's approval.

The implementation section of AIM Research's 2026 software lifecycle map includes @AnthropicAI 's Claude Code, @OpenAI Codex, @cognition 's Devin, @github Copilot, @cursor_ai Bugbot, @coderabbitai , @Replit , @lovable_dev , @snyksec and @getsentry .

https://t.co/Ym3B4bibzW

[AIM @Analyticsindiam]

MachineCon New York 2026: partners gave 3 of 3 keynotes, sat on 5 of 5 panels and put 15 speakers in front of 150 leaders. 2027 partnerships are open. https://t.co/WAkFJwifg7

[AIM @Analyticsindiam]

Agents now triage production incidents, while release decisions and incident command stay with people.

The deployment section of AIM Research's 2026 software lifecycle map covers observability, incident response, hosting, feature flags, CI/CD and cloud cost, with @datadoghq , @PagerDuty , @grafana , @newrelic , @vercel , @Cloudflare , @LaunchDarkly and @gitlab among the tools on it.

https://t.co/Ym3B4bhDKo

[AIM @Analyticsindiam]

AI can write code, fix bugs, and run tests faster than ever. But building enterprise-ready applications takes more than working code. And as AI takes on more development tasks, the role of software engineers is changing too.

Join Manish Sharma, Chief Information & Security Officer at @Aurigo_Software, for a discussion on “Building Secure, Resilient, and Scalable Enterprise Applications in the Age of AI.”

The session will explore how AI is reshaping software engineering, the skills and responsibilities that are evolving, and what it takes to build secure, scalable, and reliable enterprise applications.

Webinar Details:
Date: 18 November 2026
Time: 6.00 to 7.00 pm IST
Format: Zoom

Register here: https://t.co/YrjmZikwuZ
Know more here: https://t.co/NS6odcdgLl

#EnterpriseAI #SoftwareEngineering #AIDevelopment #Cybersecurity #Aurigo

[AIM @Analyticsindiam]

An agent that calls tools, touches production data, and runs at real volume plays by rules a model never had to follow.

That was the starting point at the Mumbai edition of AIM CXO Unplugged, where technology and business leaders came together for an evening of honest conversation and peer learning. The next edition heads to Delhi on November 18.

Hosted in partnership with @Neysa_ai, the closed-door gathering explored what it takes to own an AI stack at scale, from the real cost per outcome to the accountability and logging that agentic systems demand.

The discussion was moderated by Prashanth Pandey, Global Head - Unicorn Startups, Neysa, who guided a rich exchange of perspectives from the room.

A special thanks to Mitesh Vora, Vivek Parihar, Shweta Doshi, Ayushi Anand, Vishal Yoman, Mithil Srivastav, Girish Varadarajan, Gaurav Dutta Chowdhury, Ameya Chousalkar, Raoul Nanavati, Anirudha Basak, and Sarvagy Shah, for sharing their insights.

Thank you to everyone who joined us and made this edition so candid and valuable. Looking forward to more such conversations.

Want to be part of our upcoming CXO roundtables and other exclusive AI, data, and technology events? Explore what's coming next: https://t.co/Qa3IaCdcVo

#AIMCXOUnplugged #Neysa #AgenticAI #AIStack #EnterpriseAI

[AIM @Analyticsindiam]

AIM's 2027 calendar is set: 31 events, 25 cities, 14 countries, across The CIO Room, MachineCon and AIM India. Every date: https://t.co/92vWY8lgIJ

[AIM @Analyticsindiam]

From MachineCon New York 2026: Joe Murphy of Acceldata on why most enterprise AI fails before it reaches production. https://t.co/qJaTf3Do5N

[AIM @Analyticsindiam]

AI inference costs are falling, but running AI applications at scale isn't necessarily getting cheaper. A new analysis explains why lower token prices can be offset by longer prompts, repeated model calls, delays, and the spare computing capacity needed to handle demand.

@Stanford's 2025 AI Index found that the price of GPT-3.5-level performance fell from $20 to $0.07 per million tokens between November 2022 and October 2024. Yet real-world production costs also depend on response times, simultaneous users, and reliability, particularly as reasoning models and AI agents tackle increasingly complex business tasks.

Read the full story by Siddharth Jindal here: https://t.co/KFdN9PubXK

Explore more on emerging technologies and industry trends on our AI Compass: https://t.co/oXvYtZKJ67

#ArtificialIntelligence #AIInfrastructure #GenerativeAI #AgenticAI #CloudComputing

[AIM @Analyticsindiam]

AI can write code, generate tests, and build applications faster than ever. But building software quickly and building software that enterprises can trust are two different challenges.

As AI becomes embedded in development workflows, engineering teams must rethink how they approach security, scalability, reliability, and system resilience. The growing autonomy of AI agents also raises questions about access controls, data privacy, and operational risk.

Join Manish Sharma, Chief Information & Security Officer at @Aurigo_Software, for an insightful discussion on “Building Secure, Resilient, and Scalable Enterprise Applications in the Age of AI.”

The session will explore the evolving challenges of enterprise application development, the changing demands of building and maintaining complex software systems, and the skills software professionals need to build dependable systems.

Webinar Details:
Date: 18 November 2026
Time: 6.00 to 7.00 pm IST
Format: Zoom

Register here: https://t.co/YrjmZikwuZ

Know more here: https://t.co/NS6odcdgLl

#EnterpriseAI #SoftwareEngineering #Cybersecurity #AIApplications #Aurigo

[AIM @Analyticsindiam]

Having a strong developer community around you makes building with AI even more rewarding.

That's exactly what MLDS 2027 brings together: AI developers, machine learning engineers, data scientists and technology enthusiasts for two days of learning, hands-on workshops, live demos, technical deep-dives and networking with India's AI community.

Returning for its 9th edition, the Machine Learning Developers Summit will take place across two cities: Bengaluru on 25–26 February and Hyderabad on 4–5 March 2027. With Agentic AI and Forward Deployed Engineering shaping this year's programme, MLDS is where you can explore emerging technologies, exchange ideas and connect with the people building the future of AI.

🎟️ Early bird passes are live until only 15 December 2026! Hurry, get your passes NOW!

Register here: https://t.co/vvqxmuZsjC

[AIM @Analyticsindiam]

Nominations for the 2027 AI150 and AI100 Awards are open. Free to enter, reviewed by AIM Research and a jury, recognised on stage in three cities. https://t.co/CmQ6FHJ9Wv

[AIM @Analyticsindiam]

The AIM magazine for your team, library or campus. Write to [email protected] for a group subscription.

Individual subscriptions: https://t.co/yc1BMGvT5V

[AIM @Analyticsindiam]

Managing testing across the software development cycle gets harder when test cases, execution and reporting are handled separately, and fragmented workflows often lead to limited visibility, inconsistent tracking and gaps in test coverage. End-to-end test management platforms bring planning, execution and reporting into one structured workflow, connecting testing with sprint cycles, CI/CD pipelines and release schedules in Agile and DevOps teams.

Choosing a platform depends on team size, project complexity, existing tools, testing methodology and support for both manual and automated testing. @testmuai says it supports AI-driven test case generation from text, Jira tickets, PDFs, images, audio, video and spreadsheets, and syncs test cases, runs and defects with Jira and Azure DevOps.

Moreover, the company says it links results from Selenium, Cypress and Playwright to test cases and tracks pass, fail and skip rates, defect density and release readiness on real-time dashboards. Through KaneAI, teams can automate manual test cases using natural-language prompts, and HyperExecute provides parallel execution across more than 50,000 real devices and 3,000 browsers.

The more prominent platforms include Test Manager by TestMu AI (formerly LambdaTest), SpiraTest, OpenText DevOps Cloud, IBM Engineering Test Management and PractiTest. Test Manager is part of TestMu AI’s Agentic Quality Engineering platform and brings test creation, planning, execution tracking and reporting into one workspace.

To learn more about the tools, visit the link: https://t.co/iwCya1qkTP

#TestManagement #SoftwareTesting #QualityEngineering #DevOps #AIinTesting

[AIM @Analyticsindiam]

AIM India 2027: MLDS Bengaluru 25–26 Feb, MLDS Hyderabad 4–5 Mar, Data Engineering Summit 13–14 May, AIM GCC Summit Goa 18–20 Jun, Cypher in September. Full calendar: https://t.co/wZlC8O7qC8

[AIM @Analyticsindiam]

AIM's Person of the Year: Sharad Sanghi, and Neysa's AI dream for India. Read it in the August issue of the AIM magazine.

https://t.co/yc1BMGwqVt

[AIM @Analyticsindiam]

Mastech is applying AI to its own operations first, with its Autonomous Enterprise initiative treating the company as its own customer zero. The company says it has achieved 67% productivity gains from its AI-first operations as it rethinks internal processes using AI, automation and agentic workflows. AI agents now support work across Finance, HR, IT, Security and operations, with the aim of speeding up cycle times, reducing manual touchpoints and improving the employee experience.

"As a company that helps clients navigate data and AI transformation, we believe credibility starts with practicing what we preach," said Kannan Sugantharaman, Chief Finance and Operations Officer at Mastech. The lessons from its own transformation are being carried into client engagements, helping organisations move from isolated AI applications towards outcome-driven services supported by the right data, governance and human oversight.

The shift is also shaping how Mastech hires. Sandhya Ramesh, Chief People Officer, said the company is looking for people with "unlimited curiosity" and the drive to experiment, innovate and help customers win with AI. Debasis Satpathy, Chief Revenue Officer, added that "The next decade will reward value created and measured.

Read the full story here: https://t.co/lVkYCVHmfB

#Mastech #AutonomousEnterprise #AIFirst #EnterpriseAI #ITServices