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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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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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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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

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.

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A Rising Crescendo Demands Data Ethics and Data Responsibility

Bruno Aziza

Data ethics is not a subject that you would have expected to be a centerpiece of conversation among Chief Data Officers and senior business leaders in the recent past. However, times are changing.

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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 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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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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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 Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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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.

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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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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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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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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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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.

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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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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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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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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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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.

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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.

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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.