How to choose between DataOps vs. MLOps vs. AIOps? What are the right Ops for your big data team? — Two years ago, I earned my badge of dishonour by leading an inefficient operation. I come from a data science & machine learning background, so of course, we’ve learnt about DevOps from our engineering colleagues. Or so we thought. It was inexplicable to us at the time, as our data…

Your machine learning model is going to fail in the pandemic. Here’s how to mitigate the damage. — There have been many articles focusing on how machine learning can and is helping during the pandemic. South Korean and Taiwanese governments successfully demonstrated how they used AI to slow the spread of COVID-19. French tech company identifying hot spots where masks are not being worn, advising where governments can…

Never be in trouble for delivering the wrong thing at the wrong time to the wrong person — As a data scientist, you expect to get a job that lets you do cool stuff — Big data, Big machine (or cloud, like the grown-ups) and Deep neural networks. Reality quickly creeps in as you realise the mismatch between your model, your project manager’s timeline and your stakeholder’s expectation…

In April this year, instead of organising my 20-something birthday party, I spent hours writing motivating emails to my company to convince them to send me to Deep Learning Indaba*. My very generous employer instantly grant my wishes. But once my wish was granted I took an entire weekend to…