Sat.Oct 27, 2018 - Fri.Nov 02, 2018

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Machine Learning And Data -- Where You'd Least Expect It

Bruno Aziza

Since the concept of “machines learning” was introduced in the 1950s, the field has gone from a cryptic domain understood by a few (Turing, Markov, Legendre, Laplace or Bayes) to a technology that every company must deploy.

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Developing a smarter way to drill for oil with analytics

IBM Big Data Hub

At TOTAL, we understand that running an oil well profitably and efficiently is mechanically and technically complex. That’s why we are always looking for new ways to innovate and become more efficient.

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Reflections on remote data science work

Data Science and Beyond

It’s been about a year and a half since I joined Automattic as a remote data scientist. This is the longest I’ve been in one position since finishing my PhD in 2012. This is also the first time I’ve worked full-time with a fully-distributed team. In this post, I briefly discuss some of the top pluses and minuses of remote work, based on my experience so far. + Flexible hours. – Potentially boundless work.

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Seven Steps to Success for Predictive Analytics in Financial Services

Birst BI

Remember when you began your career and the prospect of retirement was an event in the distant future? How many of the poor decisions you made over the years could have made for a better retirement outcome had you had a crystal ball to see into the future? With better knowledge about the future, would your decisions have been different? For many career professionals, the reality of retirement is now significantly closer.

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Signal-Based Selling: How to Leverage 4 Key Buying Signals

As prospects define their problem, search for solutions, and even change jobs, they are generating high-value signals that the best go-to-market teams can leverage to close more deals. This is where signal-based selling comes into play. ZoomInfo CEO Henry Schuck recently broke down specific ways to put four key buying signals into action with the experts from 30 Minutes to President’s Club.

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Tableau Conference Keeps on Getting Bigger and Better

DataRobot Blog

by Jen Underwood. Tableau’s right place, right time, right solution market momentum continues to fuel what seems to be unstoppable growth over the past five years. Hosted in New Orleans at the massive. Read More.

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What marketing campaigns are missing: MDM Express

IBM Big Data Hub

To attain digital transformation maturity, organizations have to build a foundation of trusted customer and product data. This includes integrating policies which control how data is used within the enterprise and protecting sensitive information.

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The Chief Marketing Officer and the CDO – A Modern Fable

Peter James Thomas

This Fox has a longing for grapes: He jumps, but the bunch still escapes. So he goes away sour; And, ’tis said, to this hour. Declares that he’s no taste for grapes. — W.J.Linton (after Aesop). Note: Not all of the organisations I have worked with or for have had a C-level Executive accountable primarily for Marketing. Where they have, I have normally found the people holding these roles to be better informed about data matters than their peers.

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Doing a 180 on Customer 360 – The Preferred Path to Customer Insights

Cloudera

451 Research Analyst Sheryl Kingstone, and Cloudera’s Steve Totman recently discussed how a growing number of organizations are replacing legacy Customer 360 systems with Customer Insights Platforms ( watch the replay here ). In this blog post, Sheryl outlines how next-gen CIP applications are delivering a better customer experience, and why businesses are relying on CIPs as their preferred path to customer insights.

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The Future of Enterprise Performance Management is Dynamic Making AI Real (Part 3)

Jedox

The latest edition of our blog series “Making AI Real” lays out a vision for how new capabilities in FP&A systems can support Enterprise Performance Management of the future with much of the required functionality already available today. From Static to Dynamic EPM. New technologies in financial planning & analysis systems like machine learning and artificial intelligence offer businesses the chance to move beyond static performance management is characterized by historic, user-defined b

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Tableau talks up natural language interface for creating visualizations

CIO Business Intelligence

How many statisticians do you need to build a new data model? Zero, according to Tableau Software: It says the next version of its widely used analytics tool will do it itself. Tableau demonstrated this, and a new feature called Ask Data that allows users to create visualizations by describing what they want in natural language, at an event for customers in New Orleans last week.

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Revolutionize QA: GAPs AI-Driven Accelerators for Smarter, Faster Testing

GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.

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Column chart with variance

3AG Systems

-NEW- Questions about this visual? Book an in-person call with our team now. Featured in Microsoft's August 2018 Power BI desktop update , this Power BI custom visual is designed for easily comparing time series data. It is built for reporting actual, forecast, planned, and previous year data and allows users to quickly identify when a series deviates from its baseline.

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Federated Learning: Machine Learning with Privacy on the Edge

Cloudera

Federated Learning is a technology that allows you to build machine learning systems when your datacenter can’t get direct access to model training data. The data remains in its original location, which helps to ensure privacy and reduces communication costs. Privacy and reduced communication make federated learning a great fit for smartphones and edge hardware, healthcare and other privacy-sensitive use cases, and industrial applications such as predictive maintenance.

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What’s the significance of the IBM acquisition of Red Hat?

Hurwitz & Associates

First, both IBM and Red Hat are clients of our company. Now that that is out of the way, what do we think about the acquisition of Red Hat? We predict that the acquisition will have a major impact on the cloud market and a positive impact on IBM as a player in this highly combative market. Red Hat has had the ability to carve a path that many companies have tried to replicate – build a multi-billion dollar enterprise software business completely focused on offering open source technology.

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The Future of the Datacenter is Multicloud

Nutanix

For too long IT organizations and the datacenters they run have been cost centers bogged down with elaborate processes that stymie innovation. The advent of cloud computing has transformed IT service delivery, providing unprecedented levels of flexibility and agility.

IT 20
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Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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Column chart with relative variance

3AG Systems

-NEW- Questions about this visual? Book an in-person call with our team now. Featured in Microsoft's October 2018 Power BI desktop update , this Power BI custom visual is designed for easily comparing time series data. It is built for reporting actual, forecast, planned, and previous year data and allows users to quickly identify when a series deviates from its baseline.

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The Future Belongs to Purpose-Built Apps. We're Betting On It.

Juice Analytics

“Purpose-built apps” “Low-code app development” “hpaPaaS” “Citizen Data Scientists” “Data monetization” Witness the cloud of new buzzwords floating in the air. Let me see if I can knit these concepts together to shed light on their meaning and implications for the future of analytics. Collectively, these phrases are a reaction to the long-standing challenge of getting more data into more hands.

IT 58
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Advantages of Augmented Analytics!

Smarten

What Are the Benefits of Augmented Analytics? Augmented Analytics may sound complicated but the goal is to use all those complicated analytical techniques and algorithms as an underpinning for an advanced analytics solution that is suitable for the skills o an average business user. In other words, the system may be complicated, but the interface and process to gather and analyze information is easy!

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What IT is Digging

Nutanix

We’ve learned a lot of interesting things about IT teams’ infrastructure needs, pain points, and challenges in our conversations with IT pros around the globe. But along the way, we’ve also learned some pretty interesting things about what IT pros are into in the world beyond the datacenter.

IT 20
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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Bar chart with absolute variance

3AG Systems

-NEW- Questions about this visual? Book an in-person call with our team now. Featured in Microsoft's October 2018 Power BI desktop update , this Power BI custom visual is designed for easily comparing category data. It is built for reporting actual, forecast, planned, and previous year data and allows users to quickly identify when a series deviates from its baseline.

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Column chart with small multiples

3AG Systems

-NEW- Questions about this visual? Book an in-person call with our team now. Featured in Microsoft's October 2018 Power BI desktop update , this Power BI custom visual is designed for easily combining times series data and category data into a single chart. It is built for reporting actual, forecast, planned, and previous year data and allows users to quickly identify when a series deviates from its baseline.

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28 Actions You Can Take to Manage Cloud Costs

Nutanix

With the cloud becoming the new normal, and organizations moving toward digital business initiatives, the dynamics of IT have completely changed.