Optimizing Connected Vehicle Data – Automotive Success Story
Discover how Ascentt’s Vertical AI solution transformed a global automaker’s connected vehicle data chaos into actionable intelligence—slashing costs 40x and accelerating processing by 75%.
Vertical AI Strategy: Transforming the Automotive and Manufacturing Industries
What if AI didn’t just analyze your data—but understood your factory floor or your vehicle architecture like your best engineer does? From optimizing vehicle diagnostics to improving production-line quality, this blog explores how Ascentt builds AI that truly works—delivering measurable ROI, faster adoption, and smarter operations at scale.
Five Ways Databricks Summit 2025 Just Re-Wrote the Enterprise AI Playbook
Databricks Data + AI Summit 2025 redefines Enterprise AI with Agent Bricks, Lakebase, and governance upgrades. Discover five game-changers turning AI hype into hard ROI. Unlock speed, compliance, and scalability.
Scaling Supply Chain Processes: Five Biggest AI Adoption Challenges in Manufacturing and How to Overcome Them
Tackle the top 5 AI adoption hurdles in manufacturing supply chains—data silos, team skills gaps, ROI uncertainty, integration complexity, and compliance risks—using Ascentt’s enterprise-ready AI platform. Drive efficiency, reduce costs, and scale confidently.
Compliance & Risk Management in Procurement: How AI Agents Keep CPOs Audit-Ready
For many organizations, compliance is viewed in the same manner as an afterthought—simply a box to check when the auditors come knocking. This complacency is a time bomb waiting to go off. It is similar to cybersecurity breaches, where operations go down in the blink of an eye, or delayed procurement compliance that yields damaging outcomes. The consequences […]
Cloud vs. On-Prem AI Deployment: Which Model is Right for Your Enterprise?
Artificial Intelligence (AI) has far moved beyond being a speculative idea and now drives innovation across numerous industrial sectors. The success of AI projects relies on factors beyond data quality and algorithms, including deployment locations and technology utilization. A business entity encounters a critical choice regarding its AI workloads: Is it better to operate them […]