Transfer Learning: Why It Changes Everything
BERT and GPT demonstrated transfer learning's power. Building AI models no longer requires billions in compute. Here's what fundamentally changed in 2019.
Thoughts & Perspectives
Nine years of writing about AI, building custom ERP systems, and shipping mobile products. By Abhi Asok.
BERT and GPT demonstrated transfer learning's power. Building AI models no longer requires billions in compute. Here's what fundamentally changed in 2019.
App stores are saturated. Everyone thinks ASO is dead. But mid-2019 proves it's actually more important than ever before for staying visible and discoverable.
Shopify, Stripe, and Twilio proved API-first wins. Modern ERP must be built the same way today. Legacy systems can't compete without deep extensibility.
OpenAI's staged GPT-2 release in Feb 2019 was genius marketing or genuine caution. Six months later, it's clear why this decision mattered significantly.
Mobile apps that fail without internet destroy user trust. Offline-first architecture isn't a feature—it's a foundational design decision with consequences.
Every client wants real-time dashboards. The technical complexity and architectural debt behind making ERP data actually real-time surprises everyone.
Most enterprise AI initiatives die quietly. I've watched dozens fail. Here's what truly separates the winners from the graveyard of abandoned ML projects.
2018 is ending with mobile usage definitively dominant. Here's what that means for how we build enterprise software in 2019 and beyond.
SAP, Odoo, NetSuite—they handle generic manufacturing. They choke on real manufacturing. Here's what they miss and why custom ERP sometimes is the right call.
OpenAI published GPT-1 in June. Most people missed it. I didn't. Here's why I think transformers are about to reshape everything we build.
Flutter Beta shipped in June. The response has been overwhelming. Here's my assessment of where Flutter is headed and why it's genuinely different.
Most ERP dashboards are graveyard charts nobody looks at. Here's what we learned building dashboards that actually drive decisions in real enterprises.