Most corporate structure consists of various departments that contribute to the company’s overall mission and goals. Common departments include Marketing, Finance, Operations, often collectively referred to as Business, Human Resources, and Information Technology (IT). These five, or three, divisions represent the major departments within a publicly traded company, though there are often smaller departments within autonomous firms. With recent interest in Artificial Intellige

Artificial intelligence (AI) has not created a new category of ownerless decisions in your business. Every outcome generated by an algorithm remains an act of the company, and therefore falls squarely within the legal and moral accountability of the board and executive. AI does not dilute board accountability In corporate law, the company is the decision‑maker, and the board is its collective mind. When a model approves a loan, denies a claim, reallocates staff, or routes co

In 2016, AI pioneer Geoffrey Hinton famously predicted we should stop training radiologists , claiming deep learning would soon outperform human doctors. Similarly, since as early as 2014, Elon Musk has been continuously promising that fully autonomous, sleep-at-the-wheel self-driving cars would be ready next year . Both instances highlight how brilliant minds frequently compress the timeline of complex AI deployment. Now, a bold new prediction has emerged from Microsoft, t

There are many definitions of data science and is enough to confuse anyone, the question remains what is data science? So, before discussing this topic I often lay out the definition I go by. Data science is an interdisciplinary area about scientific methods, processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured, like Data Mining or Knowledge Discovery in Databases (KDD) . My definition of data science is rather s

Defining success is a crucial part of managing a data science experiment. Of course, success is context-specific. However, some aspects of success are general enough to merit discussion. A list of hallmarks of success includes: New knowledge is created. Decisions or policies are made based on the outcome of the experiment. A report, presentation, or app with impact is created. It is learned that the data cannot answer the question being asked of it. Some more negative outcome