The act of engaging with physical objects in a safe and non-damaging manner is a critical study in the field of Machine Learning. But the functional leap from robots with prior knowledge of their environment to AI-driven systems — capable of mapping and adapting to new objects and situations — represents a genuine evolutionary step away from the 'Henry Ford' model of production-line automation; a step towards authentic machine agency...read the full article.
“The financial services industry will see more change in the next 10 years than it has in the last 100. And that transformation is being driven by a group of smart insurgent startup companies. The Fintech 250 are the most promising of these insurgents.” — CB Insights CEO Anand Sanwal. According to CB Insights, there are now more than 250 tech startups redefining the financial services industry.
Is it possible to build machines that are free from human biases? Read on for more...
In this interview, the CEO and founder of AI-powered personal assistant x.ai, Dennis Mortensen sat down with AIIA editor Megan Wright to discuss the future of our workforce.
In 2018, no company that is genuinely serious about understanding their customers and improving CX is unaware of the importance of utilising the data at their disposal to its fullest effect. In this article, we looked at how machine learning will become easier to leverage and harder to ignore.
As with all new practice fields, understanding and navigating the key challenges of data science will help businesses reap the returns from machine learning. In this article, data expert Johnson Poh, Head Data Science for Big Data Analytics at DBS Bank shares with us valuable tips to make data science and machine learning become an integral part of solving business challenges.