Big Data, Crystal Balls and Looking Glasses: Reviewing 2016, predicting 2017
End-of-year reviews are boring — and everyone does them. Predictions are boring — and they are hard. Of course, this is different — because big data.
Read More →Why finance craves big data: A perfect storm of disruption and opportunity
The financial services domain, where real-time is measured in milliseconds, holds particular interest for big data applications and vendors for a number of reasons: architecture, regulation, transparency, decision-making, and the need for speed.
Read More →Predictive analytics and machine learning: A dynamic duo
Predictive analytics and machine learning are seen as the pair of tools to save the day for most organizations currently. We try to de-mystify both, taking a look at what they are, how they work, and what they are good for.
Read More →Data to analytics to AI: From descriptive to predictive analytics
Artificial Intelligence (AI) seems to be the buzzword du jour for organizations, but this is not an obvious or straightforward transition even for those building advanced products and platforms. Many organizations are still struggling with digital transformation to become data-driven, so how should they approach this new challenge?
Read More →From Brexit to Trump: How organizations can use data to prepare for and respond to political events
Politics and data do mix, apparently, so we try to count the ways.
Read More →Samsung’s acquisition of Viv brings up questions about massive-scale AI
The war for mainstream AI dominance is raging. The latest episode was last week's announcement of Samsung acquiring Viv, a hitherto under the radar startup working on building the next Siri. We take the opportunity to ponder on questions related to massive-scale AI.
Read More →To the cloud, big data sisters and brothers, to the cloud
While reports of big data's death have been greatly exaggerated, the skepticism is not unwarranted. The cloud may have some of the answers, but it won't solve all of big data's problems.
Read More →I got 99 data stores and integrating them ain’t fun
Data integration may not sound as deliciously intriguing as AI or machine learning tidbits sprinkled on vanilla apps. Still, it is the bread and butter of many, the enabler of all things cool using data, and a premium use case for concepts underpinning AI.
Read More →How i learned to stop worrying and love telling stories
I’ve got tech, data, and media, and i’m not afraid to use them. Here’s my story, why you may care, and how to make sure you’re up to date. A geek’s life I have not always liked writing, neither have i always been that good at making cases and telling stories. Or at least, that’s […]
Read More →Earth Day special: on big issues, breaking news, and using data and tech to get insights and build stories
Earth day is one of those things pretty much everyone can stand behind. With virtually all scientists and the vast majority of the public acknowledging the fact that climate change is an imminent threat that must be dealt with, it marks an occasion for awareness and action. This year in particular, it coincides with a […]
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