Glavin’s Tech Talk: A Year in Review

When I look back on the year, I’d never anticipate how eye-opening 2019 was. For me, January was about deciphering all the questions about artificial intelligence (AI). Most notably, the fear of robots taking over our jobs and machines becoming super intelligent.

Nearly a year later, the debate continues about the negative impact on jobs, lack of talent, data quality, cybersecurity threats, algorithmic bias, accountability, transparency, the absence of regulatory and legal frameworks, protecting people’s rights, workforce training and competition.

January 2019: Big Data, ML and AI Fears

Like other technologies I’ll discuss below, one of largest barriers to adoption and innovation is understanding what AI is, how it works, and why it matters for you.

A simple way to explain the benefits of AI is to understand where we are in terms of big data. We’ve reached human capacity or information overload. It’s impossible to read all the structured and unstructured…