How Trifacta is helping data wranglers in Hadoop, the cloud, and beyond
Trifacta is known for doing one thing, and doing it well: data wrangling. Because of this, the company has an informed, data-driven view on the big data and not-so-big data market. Trifacta's insights have driven its latest product release, but are also relevant to draw a big picture of big data.
Read More →IBM’s Watson does healthcare: Data as the foundation for cognitive systems for population health
Watson is IBM's big bet on AI, and healthcare is a prime domain for present and future applications. We take an inside look at Watson, why and how it can benefit healthcare, and what kind of data is used by whom in this process.
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 →IBM DataWorks, a holistic approach to leveraging data
This week at Strata, IBM unleashed a series of announcements and presentations about its Project DataWorks. DataWorks takes some deciphering to figure what it is exactly: a (line of) product(s), a methodology, or a strategic initiative. Spoiler alert: it's all of the above.
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 →What IBM, the Semantic Web Company, and Siemens are doing with semantic technologies
Defining semantics is a matter of semantics, not less so in the Big Data space.
Read More →MarkLogic, dual-wielding its way through transactional and analytical workloads
Is dealing with transactional and analytical workloads in a single database a pipe dream? Not according to MarkLogic, which has its own way of taking on both.
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 →Euclid Analytics: Applying data science to human behavior
As its namesake did for mathematics, Euclid Analytics aims to deal with physical world analytics in a formal and systematic way. Here's a look at EA's latest product.
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