Great data is the real foundation of enterprise AI speed
At the ET Edge CIO&Leader Annual Conference, Rucha Nanavati argued that AI transformation moves only as fast as the data foundation beneath it, and laid out what trustworthy enterprise data…
Air India’s digital overhaul puts the customer back at the centre
At the ET Edge CIO&Leader Annual Conference, Rajesh Dogra shared how modernising over a hundred core systems is laying the foundation for AI to genuinely improve the customer journey. Rajesh…
Agentic AI is here, and India’s data law isn’t ready for it, warns Supreme Court advocate
At the 27th ET Edge CIO&Leader annual conference in Jaipur, Dr Pavan Duggal, Senior Advocate at the Supreme Court of India and Architect of Global AI Accountability, delivered a sobering…
Inference, not training, is where the agentic era will be won or lost
Jollydeep Kaur explains why inference — not training — is the real cost of AI, how agents multiply token consumption versus chatbots, and why data locality is now a compliance…
The CIO is now the face of AI accountability
At ET Edge CIO&Leader Annual Conference, Birlasoft CIO Vinod Sivarama Krishnan says CIOs now own AI accountability, must move past pilots at scale, treat governance as an accelerator, and track…
AI ambitions are outpacing the data systems built to support them
Enterprises worldwide are hitting a wall in their AI journey not because they lack appetite, but because the data architecture beneath their AI ambitions wasn’t built for this moment. That’s…
Indian Enterprises Must Move Beyond AI Pilots to Measurable Business Outcomes, Say Technology Leaders at ET Edge CIO&Leader Annual Conference
Over 250 CIOs and global AI experts highlight trusted data, governance, resilient infrastructure and responsible AI as the foundations of the Agentic Enterprise Jaipur, August 4, 2026: More than 250…
Databricks and Microsoft expand partnership to scale enterprise AI
Databricks and Microsoft have announced a broader strategic partnership aimed at helping enterprises deploy artificial intelligence (AI) with stronger business context, governance, and operational efficiency. The expanded agreement extends a…
Inside the OpenAI-Hugging Face breach
OpenAI confirmed that a combination of its models— GPT-5.6 Sol and an unreleased, more capable successor broke out of a sandboxed test environment, chained together a zero-day exploit, stolen credentials,…
Palo Alto Networks plans to acquire Embrace to expand observability platform with digital experience monitoring
Palo Alto Networks plans to acquire Embrace to expand observability platform with digital experience monitoring Palo Alto Networks has announced plans to acquire observability company Embrace. At the same time,…
What Happens When Security Leads Transformation? NEC Shares Insights
As organizations race to digitize, the convergence of technology leadership and cybersecurity has become more than strategic- it’s essential. In this exclusive conversation with CIO&Leader, Ashish Gupta, CIO and CISO…
Neo4j Startup Program Powers India’s Next Wave of AI-Native Startups
Neo4j the world’s leading graph intelligence platform, today highlighted its growing momentum among AI-native startups in India, with emerging companies across fintech, enterprise AI, legaltech, healthtech, compliance, edtech, and sports technology building their next-generation products on its platform. The companies are part of Neo4j’s global Startup Program, which supports AI-native founders with cloud credits, technical enablement, and go-to-market resources to help them scale next-generation AI systems. Across Sectors. Across India. Indian startups are moving fast from AI experimentation to production deployment, but they are running into a fundamental challenge: large language models alone struggle with context, memory, and reasoning across connected data. Neo4j closes that gap. Launched as part of the company’s $100 million investment in graph-powered AI, the Startup Program addresses a critical industry problem: MIT research shows 95% of enterprise GenAI pilots fail to reach production, largely because AI systems lack the contextual understanding that graph technology is purpose-built to deliver. Startups in the program using Neo4j include Sangya AI, TerraPay Solutions India Pvt. Ltd., JudicialMind AI, LawSeek, MedullaAI, AdaptLearn, Comply2Reg, CricHeroes, Reverian AI, Genloop, Ascguard, NeuraConcept, EI4AI Signal Systems LLP, Finspectors Technologies Private Limited, Zyni Innovations Private Limited and more. “India’s startup ecosystem is creating some of the most ambitious AI-native products globally. The best founders recognize that building successful AI is not just about choosing the right models, it’s about giving those models the context, memory, and connected knowledge they need to deliver reliable outcomes at scale. Neo4j serves as the knowledge layer for AI, transforming fragmented data into connected intelligence that enables AI systems to reason more effectively, maintain context, and generate more reliable results. The result is AI that is more accurate, explainable, and ready for enterprise deployment.” said Ish Thukral, Head of APAC, Neo4j. “Through our Startup Program, we want to ensure Indian founders have access to the same graph intelligence infrastructure powering the world’s leading AI systems, enabling them to build accurate, explainable, and production-ready AI applications,” he added. What Indian Founders Are Saying For a supply chain intelligence platform EcocomityChain AI Private Limited, the move to graph technology was about solving a problem that vector databases and traditional architectures couldn’t: “Enterprise AI doesn’t fail because of the model; it fails because the model doesn’t understand your business. Neo4j gave us the ability to build a contextual layer that reflects how the real world is connected. Our AI workflows now operate with significantly stronger contextual understanding, and that shift has made a measurable difference in how quickly we deliver value to enterprise customers.” — Sriram Ganesan, Founder, EcocomityChain AI Private Limited NeuraConcept, a startup making quality education affordable for every Indian school, is using Neo4j to bring relationship intelligence to teaching assistant, making it full personalized learning companion: “In education, the challenge isn’t simply grading an answer, it’s understanding how concepts, questions, student responses, learning patterns, and outcomes connect across thousands of assessments. That’s what separates intelligent assessment from basic automation. Neo4j helps us model and understand those relationships at the depth, speed, and scale needed to turn grading data into meaningful learning intelligence.” — Dip Turkar, Founder and CTO, NeuraConcept Neo4j is trusted by 84 of the Fortune 100 and powers production AI deployments at Uber, Walmart, and Klarna. As Indian startups build the next wave of enterprise AI, the company’s growing footprint across the country reflects a broader shift: graph technology is becoming foundational infrastructure for AI systems that need to reason accurately, explain their outputs, and scale reliably.
India’s ShepHertz Launches Sovereign AI to Help Enterprises Own Their Intelligence
ShepHertz Technologies launched AgentAnywhere, a sovereign agentic AI platform that lets banks, insurers, hospitals, governments and the BPOs that serve them run AI agents entirely inside their own infrastructure, on…
Yotta Partners with IntelliDB Enterprise to Deliver Sovereign AI Databases Built for Production AI applications
Yotta Data Services, India’s leading provider of sovereign cloud, AI infrastructure and hyperscale data centre services, today announced a strategic partnership with IntelliDB Enterprise to deliver next-generation, AI-Powered Database-as-a-Service (DBaaS) on Yotta’s sovereign cloud platform. The partnership…
Dynatrace to Acquire AI Observability Leader Arize
Dynatrace, the leading AI-powered observability platform, has signed a definitive agreement to acquire Arize in a cash and stock transaction valued at $915 million. Together, Dynatrace and Arize will enable customers to…
NxtGen Takes India’s Cloud to the World:SpeedCloud Global Launches to Deliver Superior Performance at Lower Cost
NxtGen today announced the global launch of SpeedCloud Global, extending its enterprise-grade managed cloud and AI services from India to international markets. The launch positions NxtGen to compete directly with…
MongoDB Atlas Now Delivers Industry-Leading Context Retrieval with Precision Accuracy
Retrieval accuracy determines what an AI application or Agent decides and what it costs to host. Today, MongoDB, Inc. announced at MongoDB.local Build Fest a set of capabilities that add benchmark-leading retrieval…
Synology® introduces DiskStation neo+ Series lineup, delivering high performance with accessible budget options
Synology® today launched the DiskStation neo+ Series, comprising the DS1825neo+, DS1525neo+, DS925neo+, and DS725neo+. This new lineup introduces a more accessible memory configuration, allowing customers to easily balance performance and…
Genpact Recognized as a Leader in Financial Crime Compliance by HFS Research
Genpact the Agentic Operations company, today announced that HFS Research recognized it as a Leader in the HFS Horizons: Financial Crime Compliance (FCC) in Financial Services, 2026 report. HFS placed Genpact in Horizon 3, its…
Oracle’s AI agents can now execute enterprise work — here’s what CIOs should know
Oracle has launched a builder experience that lets enterprises run AI agent teams directly inside Fusion Cloud Applications, without a separate runtime or external orchestration layer. The company calls the…
COMPUTEX 2026: From Personal Devices to AI Infrastructure
For years, COMPUTEX Taipei was an exhibition where tech enthusiasts came to see flashy gaming rigs, watch overclocking contests, and explore the latest laptops and PC hardware. It was, above…
Intel is putting CPU back at the centre of the AI stack
Intel used its Computex 2026 keynote in Taipei to make a case that the shift from AI model training to AI inference, and the rise of agentic workloads is putting…
Why Google Antigravity 2.0 signals towards a multi-agent microservices future
Google launched Antigravity 2.0, expanding the platform from a specialized code editor into a standalone desktop operating layer. With this launch, Google is formalizing the transition away from monolithic artificial…
OpenAI starts new deployment business; acquires Tomoro to scale enterprise AI rollouts
OpenAI has launched the OpenAI Deployment Company, a new business focused on helping enterprises build, test, and run AI systems inside day-to-day operations. The company will work directly with businesses…
India’s AI Inflection Point: How National Technology Day 2026 Signals A New Era Of Responsible Innovation
From drug discovery to cybersecurity, India’s technology leaders are charting a path where AI is not just powerful—but purposeful. Every year on May 11, India pauses to mark National Technology…
Ten Years Strong: Vertex Group Appoints Tanya Singh as Global Vice President, Marketing & Communications to Power Its Next Decade
Vertex Group, the Times Square-headquartered multinational tech giant, today announced the appointment of Tanya Singh as Vice President, Marketing & Communications, as it completes 10 years of operations and targets…