Contabo Launches New Data Center in Mumbai, India
- Technology
- June 29, 2024

Noida, India (1st October 2026): Axeno Consulting Private Limited today announced that its Software Development Department has again been appraised at Level 3 of ISACA’s Capability Maturity Model Integration (CMMI) for Development, renewing a rating the department first received in 2020. The appraisal was performed by HK Process Innovations and Consulting. CMMI is an
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New Delhi, India – September 17, 2026: Finding the right technology partner has become an important part of digital transformation. For businesses today, choosing a MarTech partner can be surprisingly difficult. There are hundreds of agencies, consultants and technology specialists offering services across analytics, marketing automation, customer data, SEO, personalization, advertising and conversion optimization. The
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New Delhi [India], September 15: Comprint founder Pankaj Sancheti has outlined a practical approach to evaluating artificial intelligence (AI) investments, drawing on more than three decades in technology. His advice centres on four decisions: which task to improve, how to test the system, what it will cost to get the work right and who will
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Backed by 30 years of experience through its parent company, Tempratech stands at JECC with a powerful message: a building’s energy performance is designed on the drawing board—not decided in the plant room. JAIPUR, India, 10 September 2026 — Tempratech, the Jaipur-based heat-pump manufacturer, is participating in the 23rd ARCASIA Forum this week, when the
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New Delhi [India], August 29: IOLIV today announced the launch of Sciborg.ai, an intelligent online AI Science tutoring platform designed to provide reliable, personalized, and curriculum-aligned academic support for students from Class 6 to 12. Initially aligned with CBSE, ICSE, and ISC, Sciborg.ai will soon expand to additional state boards and regional languages, making high-quality
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The biggest threat to artificial intelligence may not be an inadequate model, it may be the unreliable data quietly shaping every decision the model makes. As organizations increasingly use AI for predictions, recommendations, and operational decisions, the quality and traceability of their data have become critical business concerns. Paras Pandey, a data engineer at Amazon
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