Sat.Dec 14, 2019 - Fri.Dec 20, 2019

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Data Architecture Movements in 2020

TDAN

Data is commonly referred to as the new oil, a resource so immensely powerful that its true potential is yet to be discovered. We haven’t achieved enough with data research and other statistical modeling techniques to be able to see data for what it truly is and even our methods of accruing data are rudimentary […].

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5 Benefits a Company Gets with Business Intelligence On Board

ScienceSoft

Explore 5 important benefits of a BI solution and see how a company can make good use of them.

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An Exhaustive Guide to Detecting and Fighting Neural Fake News using NLP

Analytics Vidhya

Overview Neural fake news (fake news generated by AI) can be a huge issue for our society This article discusses different Natural Language Processing. The post An Exhaustive Guide to Detecting and Fighting Neural Fake News using NLP appeared first on Analytics Vidhya.

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AI is computer science disguised as hard work

O'Reilly on Data

Roger Magoulas recently sat down with Rob Thomas and Tim O’Reilly to discuss Thomas’s AI framework called the AI Ladder, which, according to his recent paper , is a framework that describes “the increasing levels of analytic sophistication that lead to, and buttress, a thriving AI environment.” Thomas notes both in his paper and in a recent keynote discussion he had with O’Reilly that “there is no AI without IA [information architecture].

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Accelerate Your Business Performance With Modern IT Reports

datapine

As in many other industries, the information technology sector faces the age-old issue of producing IT reports that boost success by helping to maximize value from a tidal wave of digital data. While integral to organizational success and development, without the ability to gain actionable insights from your most important data, IT reporting could be considered somewhat of a fruitless exercise.

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Machine Learning Algorithm Cheatsheet

Data Science 101

The fine folks at Microsoft have put together an excellent Single Page Cheatsheet for Azure Machine Learning Algorithms. It is very helpful for Azure, but it is also helpful for understanding when and why to use a particular algorithm. Microsoft’s Azure Machine Learning Algorithm Cheat Sheet. Start in the large blue box, “What do you want to do?

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Interpretability part 3: LIME and SHAP

KDnuggets

The third part in a series on leveraging techniques to take a look inside the black box of AI, this guide considers methods that try to explain each prediction instead of establishing a global explanation.

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Friends of Juice: Jessica Walker

Juice Analytics

Juice wouldn’t be the successful company that it is today without our friends who have championed our mission and expanded our network. We have identified several of Juice’s closest friends and advocates and we want to introduce them to you! Meet Jessica Walker, the CEO of Care Sherpa! For over 14 years, Jessica has been consulting with health care organizations and providers to support patient and employee engagement strategies with demonstrated financial and quality improvement impact.

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Is Predictive Analytics Revealing Unexplored eCommerce Niches?

Smart Data Collective

Predictive analytics is one of the biggest disruptive technologies shaping the eCommerce industry. IQLECT published an article on this last year titled The Importance of Predictive Analytics for E-commerce Stores. The article pointed out that companies have lagged implementing predictive analytics technology, due to cost and complexity concerns. However, this has changed as new AI technology has become more widely available.

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20 Most Popular Machine Learning and Deep Learning Articles on Analytics Vidhya in 2019

Analytics Vidhya

Introduction High-quality machine learning and deep learning content – that’s the piece de resistance our community loves. That’s the peg we hang our hat. The post 20 Most Popular Machine Learning and Deep Learning Articles on Analytics Vidhya in 2019 appeared first on Analytics Vidhya.

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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The 4 fastest ways not to get hired as a data scientist

KDnuggets

Ready to try to get hired as a data scientist for the first time? Avoiding these common mistakes won’t guarantee an offer, but not avoiding them is a sure fire way for your application to be tossed into the trash bin.

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16 Jenis Grafik Terpopuler untuk Visualisasi Data

FineReport

Di era ledakan informasi ini, semakin banyak data yang perlu dikelola. Namun demikian, data padat ini seringkali tidak fokus dan tidak mudah dibaca. Sehingga kita membutuhkan visualisasi data untuk membuat data lebih mudah dipahami dan diterima. Sebaliknya, visualisasi lebih bersifat intuitif dan penuh makna, dan sangatlah penting untuk menggunakan grafik yang tepat untuk memvisualisasi suatu data.

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4 Ways GL Wand Helps You Meet Tight Deadlines with SAP Reporting

Jet Global

SAP is one of the world’s largest tech companies, but that doesn’t mean it excels in all areas. Take SAP reporting as an example. The tools that come built into the ERP make reporting possible, but they miss the mark when it comes to finance. Some of the most common complaints relate to the fact that the SAP financial reporting process is confusing and cumbersome, often requiring help from the IT team.

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Decoding the Best Machine Learning Papers from NeurIPS 2019

Analytics Vidhya

Introduction NeurIPS is THE premier machine learning conference in the world. No other research conference attracts a crowd of 6000+ people in one place. The post Decoding the Best Machine Learning Papers from NeurIPS 2019 appeared first on Analytics Vidhya.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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The Ultimate Guide to Model Retraining

KDnuggets

Once you have deployed your machine learning model into production, differences in real-world data will result in model drift. So, retraining and redeploying will likely be required. In other words, deployment should be treated as a continuous process. This guide defines model drift and how to identify it, and includes approaches to enable model training.

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Top 10 Free and Open Source Reporting Tools

FineReport

In this article, I review some of the top free and open source reporting tools. These reporting tools have many advantages: low cost, meeting basic reporting needs, having a dedicated discussion board to solve user problems… 1.FineReport. FineReport is a reporting tool that is free for personal use, without time and function limits. From FineReport.

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The difference between DataOps and DevOps and other emerging technology practices.

IBM Big Data Hub

The expectation to achieve faster results continues to rise. Businesses everywhere are looking for ways to improve their operational efficiency and effectiveness to enable the best decision-making. The need to optimize typically comes to a head with the reality that there are many silos within any company.

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BI Trends 2020: Rise of the Niche Cloud

Sisense

Blog. Building a data-driven business includes choosing the right software and implementing best practices around its use. Our Business Perspectives help you make smarter decisions no matter where you are in your analytics journey. Building analytics today to change tomorrow. History is as important to the future as the new ideas that will build it.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Google’s New Explainable AI Service

KDnuggets

Google has started offering a new service for “explainable AI” or XAI, as it is fashionably called. Presently offered tools are modest, but the intent is in the right direction.

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How Do Super Rookies Start Learning Data Analysis?

FineReport

For super rookies, the first task is to understand what data analysis is. Data analysis is a type of knowledge discovery that gains insights from data and drives business decisions. From Google. There are two points here. One is how to gain insights from the data. Data is cold and can’t speak. Professional data analysts must have a wealth of business knowledge in order to know from the data what has happened and what is about to happen.

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Marie Kondo Has Some Advice for Your Dashboard

Juice Analytics

In our workshops on data storytelling, dashboard design, and data visualization, we are always emphasing the need to simplify. Less is more. Who else believes in “less is more?” Well, Marie Kondo , of course. Kondo is the reigning guru of tidying-up and host of the Netflix show Tidying Up with Marie Kondo. I wondered whether we could apply Kondo’s 6 Rules of Tidying Up to the hard work of communicating with data.

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A Quick Introduction to Vanilla Neural Networks

Insight

Get the theory behind neural networks straight once and for all! A 2-layer “vanilla” Neural Network. Lauren Holzbauer was an Insight Fellow in Summer 2018. In my last post , we went back to the year 1943, tracking neural network research from the McCulloch & Pitts paper , “ A Logical Calculus of Ideas Immanent in Nervous Activity ” to 2012, when “ AlexNet ” became the first CNN architecture to win the ILSVRC.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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Automatic Text Summarization in a Nutshell

KDnuggets

Marketing scientist Kevin Gray asks Dr. Anna Farzindar of the University of Southern California about Automatic Text Summarization and the various ways it is used.

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Alat Pelaporan Excel Terbaik 2019 yang Melampaui Jauh Excel

FineReport

Microsoft Excel adalah perangkat lunak perkantoran yang paling populer. Banyak perusahaan menggunakannya setiap hari untuk menangani data. Tetapi orang-orang yang sering berurusan dengan laporan tahu bahwa sangat sulit untuk menggunakan Excel sebagai alat pelaporan. Untungnya, dengan munculnya alat pelaporan excel, Anda tidak perlu menghabiskan waktu berjam-jam untuk belajar bagaimana membuat alat pelaporan interaktif di Excel.

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6 steps to start your DataOps practice

IBM Big Data Hub

DataOps is the orchestration of people, process, and technology to accelerate the quick delivery of high-quality data to data citizens. When done right, DataOps creates business value because users know what data they have, can trust the quality and its meaning, and use it without violating compliance or privacy laws.

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Data Management and Industry: How Data Influences Decisions

Data Science 101

Following the creation and massive popularity of the internet and all things digital, it became clear to many that data was soon to be the way of the future. Historically, our use of data could provide us with information that would influence decisions but required extensive work to collect, track, and interpret. With the introduction to modern digital data during the 21st century, the power of our computers and technology has broadened the accessibility of data collection, tracking, and interpr

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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Alternative Cloud Hosted Data Science Environments

KDnuggets

Over the years new alternative providers have risen to provided a solitary data science environment hosted on the cloud for data scientist to analyze, host and share their work.

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The Most Popular Data and Analytics Research in 2019

Andrew White

The year is almost up and though there is only a couple of weeks left, the enthusiasm that drives folks to gartner.com and access our research is slowing down. I can’t think why! Maybe it’s something to do with the holidays? Well, it’s time to give you a summary of the years’ most popular research in data and analytics. I exclude our branded notes as they are always very popular.

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Implementing DataOps across a banking enterprise

IBM Big Data Hub

Imagine a day in the life of Sarah, a hypothetical Chief Data Officer at a major bank in South Africa. There are many expectations on her shoulders. She struggles to deliver business-ready data to fuel her organization and support the decision makers within the bank. It is her job to put in place a team that will make sense of the myriad of data sources and different representations of data, multiple formats and technologies used to store and move that data.

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Cloud Data Science News – Beta 7

Data Science 101

The year is coming to an end. The Christmas/Hanukkah/New Years/Holiday season is upon us. Thus, the announcements are pretty slow and will probably continue for the next couple weeks. However, there are still a few cloud data science announcements to highlight. News. Microsoft SandDance v2 This is a very neat tool for visualizing and exploring your data.

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Data Modeling for Direct Mail: Boosting Multi-Channel Reach and Response

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.