AI engine for programming

-



By using natural language in the caption, OPEN AI engine can create images and paintings. It is a fun example of using technology to be creative. However, Open AI provides the API for "programmers" to convert natural language into source code, therefore, instead of using a keyboard and "programming", OPEN AI Codex, for example, let the programmers focus on "what" the SW shall do.

Location: Zurigo, Svizzera

Popular posts from this blog

Complementarity, Not Substitution: AI as an Extension of Human Intelligence

-
Image
Introduction Artificial intelligence amplifies human capabilities by providing speed, scale, and access to vast knowledge. AI synthesises data, highlights patterns, and proposes options. Human beings remain indispensable for setting goals, weighing values, and making decisions that require judgment, empathy, and accountability. 1. AI as a productivity multiplier AI automates repetitive cognitive tasks, accelerates research synthesis, and generates structured options from unstructured data. By delegating data collection, baseline analysis, and scenario generation to AI, professionals reclaim time for higher-value activities such as stakeholder alignment and creative problem solving. The measurable benefit is increased throughput and faster iteration cycles without requiring proportional increases in headcount. 2. Information versus decision AI provides evidence, not verdicts. Outputs must be interpreted through organisational purpose and ethical frameworks. Decision-making requires prio...
Read more

Power Up Your Innovation Projects with AI

-
Image
Innovation thrives on clear communication, meticulous tracking, and adaptability. But managing all these aspects within an innovation project can be a juggling act. This is where Artificial Intelligence (AI) steps in, offering project managers a powerful toolkit to streamline processes and boost success rates. AI: Your Innovation Project's Superpower Imagine an assistant that can handle the heavy lifting of project management, freeing you to focus on the strategic aspects. That's the magic of AI in project management. Here's how it empowers you throughout the project lifecycle: 1. Planning Phase: AI as Your Strategic Partner Risk Assessment: AI can analyze historical data and identify potential risks lurking within your project. This proactive approach allows you to develop mitigation strategies and minimize surprises down the road. Budgeting with Confidence: AI can analyze similar projects and predict resource needs with greater accuracy. This translates into realis...
Read more

From Project Inferno to Phoenix: Rebooting a Critical Project Without Burning Bridges

-
Image
  We've all been there. A project you once saw brimming with potential has morphed into a multi-headed beast – months behind schedule and haemorrhaging hundreds of thousands of dollars. That's exactly what I inherited when I was assigned to lead the "Phoenix Project" (name a bit ironic at the time). Facing the Flames: Initial Assessment My first order of business was a thorough examination of the project landscape. I pored over documentation, interviewed stakeholders, and conducted deep dives into the team's workflow. The situation was grim. Scope creep had mutated the project's original goals, communication channels resembled a game of broken telephone, and morale was at an all-time low. The Sponsor's Scorched-Earth Solution During my initial meeting with the project sponsor, the tension was so thick you could cut it with a Gantt chart. As I presented my findings, his face contorted in frustration. Before I could even propose solutions, his response was ...
Read more