by Ekrem Duman | Jul 5, 2026 | AI Strategy & Operations, Technology
⚡ TL;DRAI itself is not a competitive advantage — everyone can buy the same tools. Durable advantage comes from how well you apply AI: your proprietary data, your integrated and refined workflows, and your skilled people. The tool is a commodity; the application is...
by Ekrem Duman | Jul 5, 2026 | AI Strategy & Operations, Technology
⚡ TL;DRGenerative AI creates new content — text, images, code, summaries — from a prompt, and it has become the most widely used form of business AI. It excels at first drafts, summarization, reformatting, translation, and brainstorming, where a human edits the...
by Ekrem Duman | Jul 5, 2026 | AI Strategy & Operations, Technology
⚡ TL;DRAI ethics in business is about using AI in ways that are fair, transparent, privacy-respecting, accountable, and under human control. It is not abstract philosophy — it is practical risk management, because unethical AI use creates legal, reputational, and...
by Ekrem Duman | Jul 5, 2026 | AI Strategy & Operations, Technology
⚡ TL;DRAI upskilling is not about turning everyone into a machine-learning engineer. It works in three layers: foundational literacy for everyone (what AI is, its limits, safe use), applied skills for practitioners (effective prompting, workflows, judging output), and...
by Ekrem Duman | Jul 5, 2026 | AI Strategy & Operations, Technology
⚡ TL;DRAn AI automation strategy decides what to automate, how far, and in what order. Think of automation as a spectrum from manual to fully autonomous, and move along it deliberately: automate the routine and reversible first, keep humans approving consequential...
by Ekrem Duman | Jul 5, 2026 | AI Strategy & Operations, Technology
⚡ TL;DRAI compliance means using AI in line with the laws and regulations that apply to your industry and regions — increasingly requiring transparency about automated decisions, documentation of risk, human oversight of high-impact systems, lawful data use, and...
