This Week in the World of Data...
Was this a transition year for data protection? How much were the fines collected in the first year of GDPR? What regulations have been enforced so far? Here is all you want to know about GDPR, after a year of its implementation. The European Commission started in January 2012
The post One year of GDPR: What has changed or what hasn’t? appeared first on Dataconomy.
Chatbots help customers to resolve their issues at a blazing speed but the one of the main questions is whether the business should opt for a rule-based bot or an AI- based bot. Chatbots are not new in the technological arena. They are a lot smarter now than their predecessors.
The post Rule-Based Bots or AI Bots? Which One Do You Prefer? appeared first on Dataconomy.
AI has been facing a PR problem. Too often AI has introduced itself as a misogynist, racist and sinister robot. Remember the Microsoft Twitter chatbot named Tay, who was learning to mimic online conversations, but then started to blur out the most offensive tweets? Think of tech companies creating elaborate
The post Why we need to open up AI black boxes right now appeared first on Dataconomy.
Design thinking continues to be all the rage amongst organizations of all kinds – from academia to startups, to agencies and consultancies, or large enterprises. The concept is popular today not because it’s new per se, but its approach to problem-solving fits well with the digital transformation that companies are
The post Three Critical Aspects of Design Thinking for Big Data Solutions appeared first on Dataconomy.
Although there are lots of similarities across Software Development and Data Science , they also have three main differences: processes, tooling and behavior. Find out. In my previous article, I talked about model governance and holistic model management. I received great response, along with some questions about the differences between
The post What is the real difference between Data Science and Software Engineering Teams? appeared first on Dataconomy.
I’ll never forget my “aha” moment with bias in AI. I was working at IBM as the product owner for Watson Visual Recognition. We knew that the API wasn’t the best in class at returning “accurate” tags for images, and we needed to improve it. I was nervous about the
The post Not Accounting for Bias in AI Is Reckless appeared first on Dataconomy.
|