Insights | What we’ve been reading this week – 31st January 2020

Insights | What we’ve been reading this week – 31st January 2020 featured image

January is a great time to look ahead and think about the emerging technology and trends arising in data analytics, machine learning and artificial intelligence. Here are the highlights from some of the articles we’ve been reading this week.

Kicking off the reading list this week is our take on the “6 data analytics trends to look out for in 2020”. 2020 is already shaping up to be an exciting year in the world of data analytics, not only in terms of new technologies and processes but as a result of advances and renewed interest in established ones. Transfer learning, self-supervised learning and knowledge graphs are certainly something worth keeping an eye out for in 2020 and beyond.

Turning to machine learning, in an interview with Towards Data Science, Azalia Mirhoseini, Ph.D., Tech Lead and Senior Research Scientist at Google Brain, outlines how she and her team are using AI and Deep Reinforcement Algorithms to design and optimize the next generation of systems and chips.

For those unfamiliar with Reinforcement Learning, this collection of articles from Towards Data Science serve as a fantastic introduction. In brief, it’s a machine learning technique that enables an agent to learn through trial and error, using feedback from its own actions and experiences.

Looking at the wider data analytics market, more and more industries have begun to understand the value that data presents. In a recent article from Forbes, the Commercial Real Estate market appears to be the latest industry to join the data revolution, in particular, using data to accelerate and improve the decision-making process.

Ending our reading list this week is Google. On Thursday 23rd January, Google’s Dataset Search tool was released from beta. At Analytics Engines, we are huge advocates of Open Data, so we believe tools like this are an invaluable resource for individuals and groups hoping to use data to make a positive impact on their organisation or the world around them.

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