Sat.Oct 19, 2019 - Fri.Oct 25, 2019

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Everything You Need To Know About Static, Dynamic & Real Time Reporting

datapine

In the digital age, great businesses are founded on great insight — the data-driven kind. Without access to valuable business data, regardless of your niche and sector, you’ll merely be shooting in the dark when making key commercial decisions. But data is only valuable if you know how to handle it effectively. With so many digital insights available in our hyper-connected age of information, a professional report tool is the most effective means of collecting, curating, organizing, and analyz

Reporting 109
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Data Science Fails: There's No Such Thing As A Free Lunch

DataRobot

When I was young, I took a packed lunch to school every day, and since I grew up in Australia, my packed lunch would include a couple of Vegemite sandwiches. Unless you grew up in Australia, you’ve probably never tasted it. And judging by this American’s first taste reaction of “Oh, that’s bad!”, you probably wouldn’t like the taste if you tried it out.

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Most Data Leaders Are Successfully Driving Organizational Change

Corinium

A fundamental assumption of data science is that making business decisions based on facts yields better and more reliable results than those made using instinct or intuition. But as with any major transformation, translating this premise into new business practices takes time.

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Seven Myths About the True Costs of AI Systems

KDnuggets

While there is much excitement today around implementing AI at the enterprise level, the financial costs of this process are often unexpected and underappreciated. These seven myths are crucial lessons learned that executives should know before heading down the road to AI.

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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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What is Enterprise Data Mapping and Why is it Done?

Octopai

How do you get from A to B? If you’re at A but you don’t know where B is, you can either wander around at random in the hopes of stumbling upon B, or you can consult a map. The same is true of enterprise data. Modern enterprises find themselves sitting on mountains of data. There’s value locked in that data—knowledge that can drive innovation, market insights, and strategic plans.

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Deep Learning for Everyone: Master the Powerful Art of Transfer Learning using PyTorch

Analytics Vidhya

Overview The art of transfer learning could transform the way you build machine learning and deep learning models Learn how transfer learning works using. The post Deep Learning for Everyone: Master the Powerful Art of Transfer Learning using PyTorch appeared first on Analytics Vidhya.

More Trending

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Everything a Data Scientist Should Know About Data Management

KDnuggets

For full-stack data science mastery, you must understand data management along with all the bells and whistles of machine learning. This high-level overview is a road map for the history and current state of the expansive options for data storage and infrastructure solutions.

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Very Meta … Unlocking Data’s Potential with Metadata Management Solutions

erwin

Untapped data, if mined, represents tremendous potential for your organization. While there has been a lot of talk about big data over the years, the real hero in unlocking the value of enterprise data is metadata , or the data about the data. However, most organizations don’t use all the data they’re flooded with to reach deeper conclusions about how to drive revenue, achieve regulatory compliance or make other strategic decisions.

Metadata 104
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Regime Shift Models – A Fascinating Use Case of Time Series Modeling

Analytics Vidhya

This article is written by Sonam Srivastava. She is one of the eminent speakers at DataHack Summit 2019, where she will be talking about. The post Regime Shift Models – A Fascinating Use Case of Time Series Modeling appeared first on Analytics Vidhya.

Modeling 225
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The Language Of Requirements Documents - When To Use Shall, Will & Should.

BA Learnings

A well-written business requirements document (BRD) forms the basis of successful projects and can be used to verify that all stakeholders are on the same page regarding what the solution looks like. Three words that are often misunderstood and therefore misused in requirement documents are shall , should and will. But first… Why Do We Need A Business Requirements Document (BRD)?

Testing 100
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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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How YouTube is Recommending Your Next Video

KDnuggets

If you are interested in learning more about the latest Youtube recommendation algorithm paper, read this post for details on its approach and improvements.

IT 123
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Top 5 BI tools of 2019: Comparison and How to decide

FineReport

With business intelligence(BI) tools play a more critical role in the enterprises, the technology is poised for an oversized effect in the coming year. BI software assists businesses with data display and analytics to help companies discover the situations, market challenges, as well as the chance. Therefore, it is common for IT departments and managers to search for the BI tool best suited for their needs.

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You Can’t Miss these 4 Powerful Reinforcement Learning Sessions at DataHack Summit 2019

Analytics Vidhya

“If intelligence was a cake, unsupervised learning would be the cake, supervised learning would be the icing on the cake, and reinforcement learning would. The post You Can’t Miss these 4 Powerful Reinforcement Learning Sessions at DataHack Summit 2019 appeared first on Analytics Vidhya.

Analytics 202
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5 Tips for High Quality Finance Forecasting

Jedox

A high-quality business forecast delivers far more than just numbers. Done well, it provides a road map for concrete recommendations to drive the business forward. It provides valuable information on what still needs to be done by whom in order to achieve the budget goals set. Finance professionals regularly try to look in their crystal ball with forecasts and enable the company to have seamless, solid planning.

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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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Introduction to Natural Language Processing (NLP)

KDnuggets

Have you ever wondered how your personal assistant (e.g: Siri) is built? Do you want to build your own? Perfect! Let’s talk about Natural Language Processing.

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Voice Of The Attendee: Data & Analytics Strategy, AI/ML, CX And Growth

Srividya Sridharan

It’s T minus two weeks to Forrester’s 2nd Data Strategy & Insights Forum in Austin, TX. Over 300 data and analytics leaders will gather to share, learn and get inspired! For those of you who have already registered and planning to attend, you answered one key question during the registration process: What is your top […].

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Exclusive Interview with Dr. Sunil Kumar Vuppala – A Deep Learning Expert and IoT Veteran

Analytics Vidhya

Introduction There are multiple ways to learn data science, machine learning and deep learning concepts. You can watch videos, read articles, enroll in courses, The post Exclusive Interview with Dr. Sunil Kumar Vuppala – A Deep Learning Expert and IoT Veteran appeared first on Analytics Vidhya.

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7 Data Visualization Tools to Create Infographics

FineReport

What is Infographic? Infographic is not a trendy word now, you must have seen it in your daily life whether you notice it or not. It is a clipped compound of “information” and “graphics”, which represents information, data or knowledge intended to present information quickly and clearly. There are many types of infographics, let me introduce you to 9 most popular kinds.

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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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Feature Selection: Beyond feature importance?

KDnuggets

In this post, you will see 3 different techniques of how to do Feature Selection to your datasets and how to build an effective predictive model.

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Cybersecurity Starts with You: Celebrating National Cybersecurity Awareness Month

Sisense

Blog. Ensuring safety and privacy in today’s online environment is an enormous task. It’s way too much for a single person or a single company to manage on their own. As a security professional, I am personally encouraged by continual reminders that I’m not fighting this battle alone. . Every October is National Cybersecurity Awareness Month (NCSAM), and I’m proud to announce that Sisense has taken the initiative to sign up as a Champion for the cause.

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Top 5 Winning Solutions and Approaches from AmExpert 2019 – Feature Engineering Special!

Analytics Vidhya

Overview Presenting the top five winning solutions and approaches from the AmExpert 2019 hackathon The problem statement was from the retail industry and geared. The post Top 5 Winning Solutions and Approaches from AmExpert 2019 – Feature Engineering Special! appeared first on Analytics Vidhya.

Analytics 165
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Text Analytics – Understanding the Voice of Consumers

BizAcuity

Over the decade’s Hospitality Industry wings expand to the new horizon due to the widespread usage of mobiles which allows customers to plan the vacation & visualize the ambiance at their fingertips. Social Media, Blogging & Reviews are the new age connectors among the Millennials, where they post their experiences. Text analytics helps to draw the insights from the unstructured data. .

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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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Anomaly Detection, A Key Task for AI and Machine Learning, Explained

KDnuggets

One way to process data faster and more efficiently is to detect abnormal events, changes or shifts in datasets. Anomaly detection refers to identification of items or events that do not conform to an expected pattern or to other items in a dataset that are usually undetectable by a human expert.

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What is Data Visualization for Large Screen and How to Implement It?

FineReport

1. What is data visualization? In the era of big data, visual dashboards have become an important tool for business decisions. A series of means of visually presenting complex and abstract data in a more understandable form is called data visualization. Data visualization is designed to enable people to quickly understand the meaning behind the data.

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The Strength of Weak Ties: What sponsors can do to promote diversity and inclusion and prioritize anti-harassment measures at tech community events

Jen Stirrup

‘The purpose of business is to create a customer. Any business enterprise has only two functions: marketing and innovation’ Drucker, 1973. . How can sponsors drive good behavior and diversity and inclusion at technical community events? They can help by driving organizers to think carefully about these elements of a technical community event.

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A Well-Aged Data Story

Juice Analytics

Like a fine wine, the New York Times’ visual storytelling tends to age well (unlike many dashboards that start out like Ripple and mature into a Thunderbird ). In a recent search through the archives, I came across this gem about the number of swings Derek Jeter, long-time Yankees shortstop, took in his career. Like Jeter, this data story is a multi-tool player, demonstrating many of the skills need to bring real impact for the reader.

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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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Intro to Adversarial Machine Learning and Generative Adversarial Networks

KDnuggets

In this crash course on GANs, we explore where they fit into the pantheon of generative models, how they've changed over time, and what the future has in store for this area of machine learning.

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Challenges in Migrating On-Premise to Cloud Microsoft 365

BizAcuity

Some of the key reasons for businesses to move to cloud are mobility, agility, progressive technology, and a need to stay abreast with the industry trends today. Businesses need powerful solutions that allow them to be more competitive, and there are several options cloud available to them today. Among the alternatives provided by the big three providers including Amazon, Microsoft, and Google, several businesses choose to use Microsoft’s Office 365 offering, since it provides effective function

Risk 61
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Techniques for Collecting, Prepping, and Plotting Data: Predicting Social Media-Influence in the NBA

Domino Data Lab

This article provides insight on the mindset, approach, and tools to consider when solving a real-world ML problem. It covers questions to consider as well as collecting, prepping and plotting data. A complementary Domino project is available. Introduction. Collecting and prepping data are core research tasks. While the most ideal situation is to start a project with clean well-labeled data, the reality is that data scientists spend countless hours on obtaining and prepping data.

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Information Governance – The Secret to Monetizing Data

Grooper

With the increasing value of data and more tools to process and analyze information than ever before, companies with information governance and master data model programs are outpacing their peers. Simply storing information without a detailed road map for how the data can and should be used is not enough. How does data benefit the entire company? What core business processes or outcomes hinge on accurate data?

Metrics 59
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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.