Making Ideas To Impact
susiloharjo 
The AI Productivity Paradox: Why Gartner Predicts 50% Enterprise AI Failure by 2028 Gartner’s latest prediction sent shockwaves through the enterprise AI community: “By 2028, over half of enterprises will abandon assistive AI in favor of outcome-focused workflow platforms.” This isn’t just market analysis—it’s a verdict on the current state of enterprise AI deployment. This … Read more
NVIDIA H200 vs AMD MI300X vs Google TPU v6e: The 2026 AI Chip Benchmark Battle The AI accelerator landscape in 2026 has crystallized into a three-way battle. NVIDIA’s H200, AMD’s MI300X/MI350X, and Google’s TPU v6e Trillium each claim superiority—but the reality is more nuanced than marketing slides suggest. After analyzing MLPerf benchmarks, cloud pricing data, … Read more
Gemma 4 Agentic Edge: Google’s Blueprint for On-Device Autonomous AI Google DeepMind just dropped something significant: Gemma 4 with native agentic capabilities running entirely on edge devices. This isn’t just another model release—it’s a fundamental shift in how we think about on-device AI. The April 2, 2026 announcement brings multi-step planning, autonomous action execution, and … Read more
Active Forgetting AI: PageIndex RAG Architecture Deep Dive The emergence of Active Forgetting AI frameworks combined with PageIndex RAG architectures represents a fundamental shift in how autonomous agents manage long-term memory. Traditional retrieval-augmented generation systems rely on static vector databases with top-k similarity search, but this approach breaks down when agents operate across extended time … Read more
Gemma 4 E2B: 2.3B Parameter AI for Edge Device Deployment Gemma 4 E2B represents a paradigm shift in edge AI deployment, delivering frontier-class reasoning capabilities within a 2.3B effective parameter footprint. Unlike cloud-dependent models requiring constant API connectivity, Gemma 4 E2B enables fully autonomous agents to operate offline on devices ranging from Raspberry Pi 5 … Read more
NVIDIA H200 vs AMD MI300X vs Google TPU v6e: The 2026 AI Chip Benchmark Battle The AI accelerator market in 2026 has crystallized into a three-way competition that extends far beyond raw specifications. NVIDIA’s H200, AMD’s MI300X, and Google’s TPU v6e Trillium represent fundamentally different approaches to solving the same problem: how to train and … Read more