#84 12 AI Trends Leaders Should Capitalise in 2020

<p>In this episode, Felipe runs through 12 trends he has noticed developing in AI. The sector field is in a constant state of change and is become more and more integrated into fields outside the data space. Felipe reminds us that through this development it has become exceedingly clear that data is our most precious asset. We need to treat data carefully and prioritize traceability and maintain high-quality data. Felipe also notes that while we begin to rely heavily on AI we must also be mindful of the importance of AI ethics and beware of bias. It is no secret that decisions are being made that are racist and sexist, however, the algorithm itself is not the problem, the data that is feeding the algorithm needs to be more closely monitored for bias. Felipe discusses some challenges around data and human capital such as the need for more data engineers, building citizen data-literacy capacity and looking at the reliance on AI and data over human data scientists.</p> <p>A few trends Felipe identifies are centered around the prevalence and ever-broadening capabilities of AI. Moving forward all new phones will have a chip dedicated to machine learning. Felipe notes that now there are some significant developments in machine learning centered around unsupervised learning, auto-machine learning, and correlation and causation that will mean more powerful AI. Consumers can soon expect to benefit more holistically and tangibly from insight-powered by AI, while companies are developing entire departments to use AI to use internal and external data to find threats in their competitive landscapes.</p> <p><strong>Enjoy the show!</strong></p> <p><strong>We speak about:</strong></p> <ul> <li>[02:25] Tips #1-6: Data, AI Ethics &amp; Data Engineers<br> </li> <li>[19:15] Tips #7-12: Business &amp; AI, Machine Learning<br> </li> <li>[27:00] Recent Developments in AI<br> </li> </ul> <p><em><strong>Quotes:</strong></em></p> <ul> <li><em>“As data scientists, we need to be empathic, non-judgmental, and be able to work with peopl