Martha Bennett
NOVEMBER 9, 2017
The visionaries will forge ahead, those hoping for immediate industry and process transformation will give up. This is the answer I usually give when asked for a one-sentence summary of how I see 2018 shaping up in the blockchain technology arena. Following blockchain technology feels a little like living in two parallel universes: One is […].
Boris Evelson
NOVEMBER 9, 2017
Look right, look left, you’ll see a fellow CIO contemplating their AI move. Failing to act is not an option in most organizations. However, as enterprises are kicking off their AI pilots or seeing early results, the honeymoon is over as enterprises that naively celebrated the cure-all promises of artificial intelligence (AI) technologies is over. Enterprises needed better data foundations.
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Smarten
NOVEMBER 7, 2017
Smart Data Discovery Will Guide Your Users Through Advanced Analytics! Your enterprise and business users do not have the time or the inclination to sift through complex data or wade through instructions to learn how to use complicated business intelligence or advanced analytics tools. They don’t want to document requirements and wait for IT or analysts to produce a report (only to find out that the data is incomplete or that the data was delivered too late to make a confident decision).
DataRobot Blog
NOVEMBER 9, 2017
After attending this year’s HR Tech World in Amsterdam, journalist Phil Wainwright made an interesting observation about a trend amongst product companies. He explained that they’re layering in a superficial layer of artificial intelligence (AI) — e.g., an Alexa skill — into their products just to be able to claim that their product uses AI. He calls this trend “Machine Washing.”.
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
Information Builders
NOVEMBER 6, 2017
Information Builders recently joined the Hyperledger Consortium, an open source collaborative effort formed to advance cross-industry blockchain technologies. That’s a mouthful so let me unpack it for you. read more.
Bruno Aziza
NOVEMBER 6, 2017
In order for CIOs and CISOs to protect their cloud enabled enterprise, they must develop a new way of thinking about security – one that exists outside the perimeter mindset.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Martha Bennett
NOVEMBER 9, 2017
The visionaries will forge ahead, those hoping for immediate industry and process transformation will give up. This is the answer I usually give when asked for a one-sentence summary of how I see 2018 shaping up in the blockchain technology arena. Following blockchain technology feels a little like living in two parallel universes: One is […].
Nutanix
NOVEMBER 8, 2017
At.NEXT Nice we unveiled new developer-centric services to advance public cloud-like consumption models for enterprises. In this post, we’d like to share our perspective on bringing developers and IT closer – fostering better collaboration and increasing application agility – to produce dramatically better outcomes for the organization.
Cloudera
NOVEMBER 8, 2017
Pattern recognition. Anomaly detection. Event prediction. All of these capabilities are driven by machine learning (ML.) And recently, ML has been a hot topic among our clients. We’ve seen a steep uptick in companies highlighting their successes in ML. Cloudera offers a unified platform for analytics and machine learning. Each customer that we work with has a unique story, executing numerous uses cases, sometimes spanning multiple divisions, to gain insights that were impossible to achieve with
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