Tue.Mar 05, 2019

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11 Steps to Transition into Data Science (for Reporting / MIS / BI Professionals)

Analytics Vidhya

Introduction The rapid rise of data science as a professional field has lured in people from all backgrounds. Engineers, computer scientists, marketing and finance. The post 11 Steps to Transition into Data Science (for Reporting / MIS / BI Professionals) appeared first on Analytics Vidhya.

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AI vs. BI for Business, What Do You Need?

Jet Global

With all the attention being paid to artificial intelligence (AI) these days, it’s no surprise that enterprise leaders are scrambling to find ways to shoehorn AI implementations into their technology stack. But when you ask leaders in the enterprise to define what they’re looking for from AI, their answers frequently focus on solutions that will empower better business decision making.

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Our Obsession with Continuous Testing

DataRobot

In a previous blog post , we introduced you to Zach Deane-Mayer, a data scientist who runs our core modeling team. One of the most important tools in his team’s arsenal is a data science performance evaluation system created and maintained by our QA team. This system is at the core of our comprehensive testing philosophy that we believe is crucial to delivering a platform that our customers can trust, no matter what DataRobot features they’re using or how they’ve chosen to deploy them.

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Better Preference Predictions: Tunable and Explainable Recommender Systems

Insight

Ad recommendations should be understandable to the individual consumer, but is it possible to increase interpretability without sacrificing accuracy? Internet of Thing (AWS IoT) Are you looking to transition into the field of machine learning in Silicon Valley, New York, or Toronto? Apply for the upcoming June session today ( Deadline is March 25th for SV and NYC ) or learn more about the Artificial Intelligence program at Insight!

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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Make an Impact: Data Governance and the Lost Art of Enterprise Architecture

TDAN

It seems like we’re so busy running that we no longer have time to think. We want to be faster and more responsive, but we aren’t even sure what we are trying to achieve. It’s like the person at your office that is always too busy, is working extra-long hours (and makes sure that everybody […].

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Why You Should Care About the Data Revolution

Dataiku

More than 90 percent of the data that exists was produced in the last two years, and we’re generating 2.5 quintillion more bytes every day. The Data Revolution is here, regardless of how prepared you are. And this revolution, like those that came before it, is not simply advancing our economic and social progress, but outmoding ways of business and understanding on a global scale.

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SSIS Catalog Dashboard

Tim Mitchell

For organizations using SQL Server 2012 and newer, the SSIS catalog is the ideal tool for storing, executing, and monitoring ETL logic. The SSIS catalog includes built-in reports that show execution activity for current and historical operations. While these built-in reports are very useful, they have one significant limitation: they can only be viewed from within SQL Server Management Studio.

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A Predictor of Data Governance Success

TDAN

Getting business and leadership support for data governance programs – and building a data culture on that buy-in – remains a significant challenge in many organizations. Yet, having this support is a crucial success factor for these initiatives, according to a new survey. The results of the new survey were presented at a Collibra event […].

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Our Top 20 Most-Read Data and Analytics Research Last Week

Andrew White

Click here for an interactive PDF to connect to the research.

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Tips to Create Effective Data Quality Rules

TDAN

You know you can rule the quality of your data. So why don’t you? Read on to learn simple but effective tips on how to make superb data quality possible. The bad news is: Low-quality data costs companies about $15 million per year, according to Gartner’s Data Quality Market Survey. The good news is: Your […].

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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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Automate Consolidations with the Magic of Jet Reports – Webinar April 11, 2019

Jet Global

One of the most common manual reporting interventions users of Microsoft Dynamics NAV, GP, and 365 Business Central makes is financial report consolidations – whether it’s across multiple companies, departments, or other dimensions. But with Jet Reports, you can do this automagically! Instead of wasting one more hour, or risking one more reporting error with copying, pasting, exporting, and labor-intensive composition for multi-company or multi-department reports, attend this month’s Success Ser

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Simplifying Db2 downloads to help clients and developers get started

IBM Big Data Hub

Instead of choosing between multiple download options, anyone can now download and use a single, full-featured version of Db2 for as long as they want, without paying fees, contacting an IBM sales person, providing a credit card, getting on a mailing list or enduring adware.

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Graph Tool eBook Guide For Adobe Illustrator

The Data Visualisation Catalogue

Recently, I launched an eBook guide on using the built-in Graph Tools in Adobe Illustrator. From this eBook you can learn to master the Graph Tools for infographic and data visualization work through step-by-step tutorials and working exercises. The eBook also teaches you all the advanced techniques not normally thought capable on Adobe Illustrator, like combining two chart types together or adding code to bits of text to program in value labels.