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 →Open for business: How public data in private places works for AWS, publishers and users
Most people know Amazon Web Services as the biggest player in the cloud, but not as many know that AWS is also big on open data and onto a business model that can help everyone get value out of it. Jed Sundwall, AWS Global Open Data Lead, discusses.
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 →GODAN, feeding the world with open data
Would you be skeptical if someone told you that feeding the world with open data can actually feed the world? That’s GODAN’s mission statement in a nutshell, and its leader talked to us about it. Even if you know about open data and its significance, you may not be familiar with Global Open Data for Agriculture […]
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.
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