Our weekly round up of relevant news from around data (big or otherwise), social, trends and our very own index:
How to Win an Argument, According to Science
Whether you’re right or wrong, winning an argument can be a challenge. Luckily, with a few simple tricks, you can learn how to debate like a pro.
Big Changes In Store For Big Brands
Traditional US grocers such as supermarkets and convenience stores have supported years of healthy growth for established consumer goods companies. Now the rise of deep discount, premium and online stores is making brands rethink their strategy.
SOCIAL MEDIA/INVESTMENTS STORIES
An expert in financial market history shares his advice for investing during turmoil: ‘Do less’
Michael Batnick of Ritholtz Wealth Management believes investors should “do less” and focus on the long term to achieve success, especially during times of geopolitical crisis and high volatility like we’ve seen this week.
What is deep learning?
Much of the talk about artificial intelligence really refers to deep learning. What is this breakthrough technology, and how can investors benefit?
Vanishing app: Snapchat struggles as Facebook bites back
Losses are steep and user growth is anaemic leaving investors fearful the latest ‘new Facebook’ has run out of steam.
BIG DATA NEWS
Want To Use Big Data? Why Not Start Via Google, Facebook, Amazon, (Etc.)
Big Data – everyone’s heard about it by now – how it’s going to change the world by curing cancer, ending terrorism and feed the hungry.
Big data, Einstein and the definition of madness
Firms are having trouble doing ‘more with less’, regarding data analysis. Challenges concern dealing with legacy infrastructure and the effects of low data quality.
Toyota, Intel and others form big data group for automotive tech
A collection of prominent names in the tech industry have teamed up with Toyota to work on developing big data systems to support self-driving cars and other future automotive advances.
Asset managers – where is the big data revolution?
The broad realm of asset management has been slow to fully adopt the big data wave and there is still a lack of data-driven decisions being made by active managers.