Vendor Lock-in Agentic AI Platforms
Why it matters: Learn how vendor lock-in agentic AI platforms trap enterprises and how open standards like MCP and A2A cut switching costs of 19 to 34 percent.
Sanksshep Mahendra
Sanksshep Mahendra is a technology executive with success in driving, vision, strategy, design, and execution of software engineering for the web, mobile, apps, social, voice, IoT, applications along with Machine learning and AI. His expertise lies in partnering with business leaders, powering through roadblocks, and leading global teams to deliver disruptive products that advance the organization’s mission and capture game-changing results in the market. Sanksshep Mahendra has a lot of experience in M&A and compliance, he holds a Master's degree from Pratt Institute and executive education from Massachusetts Institute of Technology, in AI, Robotics, and Automation.
Dynamic Pricing AI Tools for Small Business
Why it matters: Dynamic pricing AI tools for small business explained: real costs, top platforms, ROI math, ethics, and pitfalls every owner must weigh before buying.
GraphRAG vs Traditional RAG
Why it matters: GraphRAG vs traditional RAG compared: accuracy, cost, latency, and real case studies to help you pick the right retrieval method for your data.
Colorado AI Act Compliance Guide
Why it matters: Colorado AI Act compliance guide: SB 24-205 is repealed. Meet SB 26-189 notice, 30-day explanation, and human-review rules before 2027.
AI Data Readiness Assessment Framework
Why it matters: AI data readiness assessment framework: score your data across 5 dimensions, fix gaps, and stop AI projects from failing on bad data.
How to Reduce LLM Inference Costs
Why it matters: Cut your LLM bill without gutting quality: quantization, batching, routing and distillation that slash inference costs by 50 to 90 percent.
Why AI Pilots Fail to Scale in Enterprises
Why it matters: Most enterprise AI pilots never reach production. Here is why they stall and the data, governance and change moves that let the rare ones scale.
DeepSeek V4 Pricing and Capabilities
Why it matters: DeepSeek V4 pricing and capabilities explained: tier costs, benchmarks, real production spend, and the privacy risks every buyer should weigh in 2026.
How to Measure AI Agent Performance
Why it matters: Learn how to measure AI agent performance in 2026 with metrics, traces, and a step-by-step pipeline that catches failures before users do.
GPT-5.5 vs Claude Opus 4.7
Why it matters: Opus 4.7 wins coding, GPT-5.5 wins agents and math. See the benchmark splits, hidden token costs, and the routing strategy smart teams use in 2026.