Data Science and Beyond

JUNE 19, 2016

Much has been written in recent years on the pitfalls of using traditional hypothesis testing with online A/B tests. A key issue is that you’re likely to end up with many false positives if you repeatedly check your results and stop as soon as you reach statistical significance. One way of dealing with this issue is by following a Bayesian approach to deciding when the experiment should be stopped.

Testing 52

Testing Statistics IT 52

In(tegrate) the Clouds

JUNE 23, 2016

This week SnapLogic posted a presentation of the 10 Modern Data Integration Platform Requirements on the company’s blog. They are: Application integration is done primarily through REST & SOAP services. Large-volume data integration is available to Hadoop-based data lakes or cloud-based data warehouses. Integration has to support the continuum of data velocities starting from batch all the way to continuous streams.

Data Integration 49

Data Integration Data Lake Data Warehouse Data-driven 49

The Unofficial Google Data Science Blog

JUNE 30, 2016

By IVAN DIAZ & JOSEPH KELLY Determining the causal effects of an action—which we call treatment—on an outcome of interest is at the heart of many data analysis efforts. In an ideal world, experimentation through randomization of the treatment assignment allows the identification and consistent estimation of causal effects. In observational studies treatment is assigned by nature, therefore its mechanism is unknown and needs to be estimated.

Statistics 44

Statistics Optimization Modeling Experimentation 44

Jim Harris

JUNE 30, 2016

In a recent interview, Jill Dyché explained a common misconception, namely that a data governance framework is not a strategy. “Unlike other strategic initiatives that involve IT,” Jill explained, “data governance needs to be designed. The cultural factors, the workflow factors, the organizational structure, the ownership, the political factors, all need to be accounted for when you are designing a data governance roadmap.

Data Governance 40

Data Governance Data Quality Strategy Modeling 40

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

Management

Jenny Sussin

JUNE 15, 2016

Your data is for sale. It’s something we’ve all known for a while now but $26.2 billion later the conversation has been reignited, if not a bit buried, in the story of Microsoft’s acquisition of LinkedIn. Ironically, news of the intent to acquire hit while I sat in the keynote for Gartner’s Security and Risk Summit where I am in attendance to talk about customer expectations for data privacy.

Metadata 40

Metadata Sales Interactive Risk 40

Nutanix

JUNE 21, 2016

What is the next step in the enterprise cloud? It’s the ability to run all your workloads, virtual and physical, on the same easy-to-manage, secure, and high-performance infrastructure.

Enterprise 20

Enterprise Management 20

Nutanix

JUNE 7, 2016

Sean Donahue is a product marketing manager, responsible for Windows application delivery at Citrix. One of his key roles is interfacing with Citrix’s strategic partners, including Nutanix.

Marketing 20

Marketing Management 20

Nutanix

JUNE 18, 2016

Last year Nutanix exploded onto the hyperconverged infrastructure landscape with their inaugural user conference Nutanix.NEXT and the subsequent 100 city roadshow.

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Nutanix

JUNE 11, 2016

We sat down with Doug Gibson, Director of Strategic Alliances at Brocade. Doug leads Brocade’s Alliance efforts with Hyperconverged and Flash Storage Partners.

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Nutanix

JUNE 9, 2016

Citrix Synergy 2016 was a treat to attend for both technical and business attendees from across the globe (77% US, 18% EMEA, 5% APJ customers and partners).

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

Analytics

Nutanix

JUNE 14, 2016

Allowing your legacy IT infrastructure to dictate (or even guide) your future IT purchasing decisions is a bit like the tail wagging the dog.

IT 20

IT 20

Nutanix

JUNE 20, 2016

Parallels is a global leader in cross-platform solutions best known for its Parallels Desktop for Mac virtualization software.

Software 20

Software IT 20

Nutanix

JUNE 16, 2016

An Interview with Radhika Krishnan, General Manager of Converged/Hyper-Converged Infrastructure and Networking at Lenovo

Management 20

Management 20

Nutanix

JUNE 6, 2016

We sat down with Rolland Miller, Director of Solution Architecture at Rubrik. We chatted about the upcoming.

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Visualization

Nutanix

JUNE 24, 2016

This past week in Las Vegas, we were honored and humbled to host more than 2,500 guests at our.

Data Processing 20

Data Processing 20

Nutanix

JUNE 17, 2016

An Interview with Charlie Kavaloski, Director of IT at Bauer Built Tire

IT 20

IT 20

Nutanix

JUNE 16, 2016

An Interview with Biju Samuel, Director of IT at Cardlytics

IT 20

IT 20