Chicago, IL
Joined October 2008
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Connectivity is easy to take for granted, until an accident happens and the signal drops. When someone needs help, should an in-car service go silent too? An Edge AI assistant can keep vehicle context and manual guidance available offline. youtube.com/watch?v=D2frKRFc…
Mumbai, come hear what’s changing at MongoDB. 🚀
At @MongoDB.local, Aamir Sait, Rohit Batra, and Ashish Kumar will take the stage to share the latest innovations.
Oct 6 | The Westin Mumbai Powai Lake
Register today: cvent.me/qY3nrw?utm_source=T…
Gen2 @MongoDB Atlas M30+ Dedicated Clusters on AWS are now generally available.
AWS Graviton4 infrastructure, better cost and performance balance, and more flexibility when tuning storage and IOPS independently for production workloads. →
mongodb.com/company/blog/pro…
AI is only as good as the data behind it. 72% of IT leaders say insufficient real-time data infra is holding back AI, while only 32% have agentic AI in production.
The message is clear: modern data streaming is becoming essential to scaling AI.
computerweekly.com/blog/CW-D…
Many teams start with @MongoDB for flexibility, then discover it also supports transactions, analytics, search, sharding, and AI use cases. Short write-up here: dev.to/rizasaputra/wait-mong…
Big news from @MongoDB.local Bengaluru We just shipped new capabilities designed to help teams move AI into production without having to choose between performance and compliance.
Get the details -> mongodb.com/company/newsroom…
Great read on why orchestration is becoming a defining challenge for enterprise AI.
As orgs move from isolated agents to complex agent ecosystems, coordination is a core requirement.
The real advantage will come from AI systems that work as a team.
siliconangle.com/2026/06/20/…
MongoDB's Olivier Zieleniecki spoke to SiliconANGLE and theCUBE about MongoDB's partnership with Amazon Web Services (AWS) and how the partnership is providing customers with the active memory layer for AI-native and agentic applications.
siliconangle.com/2026/06/16/…
Learn how to use MongoDB Agent Skills, the MongoDB MCP Server, and Atlas Vector Search to improve schemas, speed up queries, and add semantic search in a real app.
Finish the skill and assessment to earn a shareable Credly badge.
Start learning: learn.mongodb.com/courses/bu…
Why isn't AI scaling? Pilot purgatory.
With 85% of leaders citing enterprise debt as a barrier to AI value, the organizations that modernize data, processes, and infrastructure will be best positioned to move beyond pilots and scale outcomes.
cfodive.com/news/tech-debt-p…
Tech Target captures a familiar enterprise challenge: plenty of AI activity, but not enough AI impact. The next phase of value will come from turning scattered wins into durable capability through leadership, governance, and business-first execution.
techtarget.com/searchcio/fea…
As organizations invest in agentic AI, many are overlooking one of their most valuable assets: unstructured data—and nearly three-quarters of organizations have less than 50% of their unstructured data available for decision-making.
techtarget.com/searchdataman…
Great read from @CIOonline on the hidden costs of moving AI too quickly. The article argues that outcome debt, data quality debt, model drift, and agent sprawl may ultimately determine whether AI initiatives succeed at scale.
cio.com/article/4178324/7-so…
77% of CIOs cite security and risk as the primary barriers to scaling autonomous systems.
That means that organizations who want to scale fast with AI need to implement governance and visibility guardrails from day one.
informationweek.com/it-autom…
AI rollouts are a reminder that caution can be a strength. Deployments often uncover years of data sprawl, unclear ownership, and governance gaps, proving that AI tends to surface foundation issues already there.
zdnet.com/article/proceed-ca…
In his latest @CIOonline article, @MongoDB's Pete Johnson explains the four kinds of "gravity" AI data is tied to and why they should be the guiding factors when evaluating your AI cloud strategy. Read more here: cio.com/article/4180868/your…
CIOs need more than traditional monitoring to identify model drift, hallucinations, shadow AI, and rising costs early. The solution? Building observability into the AI stack from the start, with visibility across data, models, agents, and workflows.
informationweek.com/it-leade…
Govern AI ethically at scale. New whitepaper on implementing Constitutional AI with @MongoDB Atlas: embedded ethical controls, immutable audit trails & compliance for GDPR, HIPAA & the EU AI Act.
mongodb.com/resources/produc…
Some workloads need scale, others need control, and many need both.
That is why hybrid strategies are evolving around workload fit, balancing public and private cloud environments to support modernization without sacrificing efficiency.
computerweekly.com/microscop…
8 IT modernization traps CIOs should avoid:
- Chasing tools without clear outcomes
- Underestimating organizational change
- Treating modernization as “complete”
The goal is not just newer systems. It is greater agility, resilience, and scalability.
cio.com/article/4176051/8-it…