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 →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 →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 […]
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