Founder and CEO, NextPage IT Solutions
Nitin leads NextPage with a systems-first view of technology: custom software, AI workflows, automation, and delivery choices should make a business easier to run, not just nicer to look at.
Nitin founded NextPage IT Solutions in 2005. His work spans product ownership, custom web and mobile software, business automation and the practical decisions behind maintainable systems. His focus is connecting a business goal to workflows, integrations and delivery responsibilities.
Maxabout is part of that product background. Building and supporting a public automotive platform shaped the team's approach to information architecture, content operations and long-term ownership. On NextPage, Nitin writes about technology and delivery choices for business teams.
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Showing 181–192 of 430 posts
Compare Android TV, Google TV, Roku, Fire TV, Samsung Tizen, LG webOS, and Apple TV by audience, runtime, playback, QA, monetization, store review, and phased rollout risk.
Use this RPA readiness assessment to score process fit, data quality, system stability, exceptions, governance, ROI, and whether RPA, APIs, AI, or cleanup should come first.
Estimate RPA development cost with current licensing checks, bot scope, integrations, document processing, exception handling, support ownership, timeline, and ROI.
Use this manufacturing cloud migration checklist to plan ERP, MES, IoT, plant edge, data, downtime, rollback, validation gates, and hypercare before moving production systems.
Use this CRM data cleanup checklist to fix duplicates, retire fields, preserve consent, validate platform-specific CRM imports, protect reports, and govern data after cutover.
Use this ERP data migration checklist to plan platform-specific mapping, source inventory, master data cleanup, validation evidence, cutover, rollback, and hypercare.
Use this CRM migration checklist to plan data audit, platform-specific mapping, deduplication, consent, integrations, validation, cutover, rollback, and adoption.
Plan an AWS database migration with RDS or Aurora, DMS validation, security checks, and a cutover readiness record covering recovery and signoff.
Use a data migration checklist for inventory, mapping, validation, cutover, and rollback, with a decision record for recovery and new target writes.
Prepare manufacturing image datasets for AI visual inspection with capture standards, defect taxonomy, annotation review, validation splits, acceptance gates, and production feedback loops.
Use this NLP implementation roadmap to plan text data audits, pattern selection, PoC evaluation, human review, MLOps, governance, and production rollout.
Build an ADAS validation and automotive AI quality control roadmap with ODD definition, scenario evidence, visual inspection QA, SOTIF-aware release gates, edge/cloud monitoring, and drift controls.
