Sat.Jul 20, 2019 - Fri.Jul 26, 2019

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Data Science, Past & Future

Domino Data Lab

Paco Nathan presented, “Data Science, Past & Future” , at Rev. This blog post provides a concise session summary, a video, and a written transcript. Session Summary. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

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Computer Vision Tutorial: Implementing Mask R-CNN for Image Segmentation (with Python Code)

Analytics Vidhya

Overview Mask R-CNN is a state-of-the-art framework for Image Segmentation tasks We will learn how Mask R-CNN works in a step-by-step manner We will. The post Computer Vision Tutorial: Implementing Mask R-CNN for Image Segmentation (with Python Code) appeared first on Analytics Vidhya.

Analytics 307
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Big Data, Machine Learning and Alteryx Inspires 2019

David Menninger's Analyst Perspectives

Alteryx Inspire 2019, this year's user conference for Alteryx, drew around 4500 customers, partners, and prospects to Nashville’s Gaylord Opryland Resort & Convention Center in Tennessee last month. The strong attendance was a reflection of the strong growth Alteryx has experienced over the last year; roughly 50% growth year-over-year. This year's conference focused on Alteryx's evolution from data preparation to AI and machine learning, and both were front and center.

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Guide to Automated Analytics By Yellowfin

Corinium

There are three problems hamstringing your access to data insights. Insights are hard to unearth because it requires a lot of systematic drilling and filtering. And that isn’t how your business people want to spend their day (nor is it what they’re paid for). Plus, your analysts are stretched to breaking point. Moreover, analysts know that trawling for insights takes a huge amount of time and there is simply too much data to search thoroughly.

Analytics 150
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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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BI Dashboard Best Practices And The Power Of Knowledge In The Digital Age

datapine

It’s often said that knowledge is equal to power. While it isn’t possible to apply this statement in a universal sense (and in fact, it’s somewhat cliché), the notion does serve to highlight an important truth regarding today’s digital world: consumer values are continually evolving. Data has never been more readily accessible. Approaches to communication are changing, and success in today’s technology-driven world correlates directly to the quantity rather than the quality of one’s information—

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10 Powerful Applications of Linear Algebra in Data Science (with Multiple Resources)

Analytics Vidhya

Overview Linear algebra powers various and diverse data science algorithms and applications Here, we present 10 such applications where linear algebra will help you. The post 10 Powerful Applications of Linear Algebra in Data Science (with Multiple Resources) appeared first on Analytics Vidhya.

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3-Minutes Q&A with Gary Zalaveta

Corinium

Corinium’s data analytics events are designed to provide deep value to senior leaders and decision makers who are responsible for driving the strategic growth of data analytics within their organisations. Cheryl Yong , Senior Conference Producer conducted a brief interview with. Gary Zavaleta , Director of Data & Analytics at Global Hotel Alliance. -.

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Convolutional Neural Networks: A Python Tutorial Using TensorFlow and Keras

KDnuggets

Different neural network architectures excel in different tasks. This particular article focuses on crafting convolutional neural networks in Python using TensorFlow and Keras.

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Introduction to Bayesian Adjustment Rating: The Incredible Concept Behind Online Ratings!

Analytics Vidhya

Overview Curious how the big product companies like Amazon, Walmart, AirBnb, etc. manage the ratings we see? The core idea behind these ratings systems. The post Introduction to Bayesian Adjustment Rating: The Incredible Concept Behind Online Ratings! appeared first on Analytics Vidhya.

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Why EA Needs to Be Part of Your Digital Transformation Strategy

erwin

Enterprise architecture (EA) isn’t dead, you’re just using it wrong. Part three of erwin’s digital transformation blog series. . I’ll let you in on a little secret: the rumor of enterprise architecture’s demise has been greatly exaggerated. However, the truth for many of today’s fast-moving businesses is that enterprise architecture fails. But why?

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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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Is Big Data Transforming Our Broken Hospital Management Systems?

Smart Data Collective

The healthcare industry is happily embracing big data. Hospitals around the world are finding that data can have a profound impact on their operations. A lot of the emphasis so far has been on the use of big data to better engage with external third-parties, but big data can be equally valuable for managing internal hospital systems. Big Data is the Key to Improving the Efficiency of Hospital Management Systems?

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This New Google Technique Help Us Understand How Neural Networks are Thinking

KDnuggets

Recently, researchers from the Google Brain team published a paper proposing a new method called Concept Activation Vectors (CAVs) that takes a new angle to the interpretability of deep learning models.

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DATAMIN – Unveiling the World’s Biggest Online Data Science Quizzing Platform

Analytics Vidhya

We are thrilled to announce the launch of the world’s biggest online data science quizzing platform: Datamin! Do you feel some of your peers. The post DATAMIN – Unveiling the World’s Biggest Online Data Science Quizzing Platform appeared first on Analytics Vidhya.

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IoT Connectivity & the Significance of Fleet Management in Logistics Industry

BizAcuity

This is the era of IoT (the Internet of Things). One where every sector around us, right from transport, retail and manufacturing to automobiles, is undergoing a major transformation. Fleet management is the latest to join this revolution. Today, the science and study of fleet management is transforming the way traditional fleets were managed. The confluence of connected gadgets, networks, and its consequent by-product of big data is enhancing the impact of fleet management.

IoT 93
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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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Business Intelligence (BI) market consolidation – what to expect next?

Boris Evelson

The past two years have seen a significant divergence in the maturity of the supply and the demand sides of the BI market. This divergence will influence market dynamics for the next two years and affect enterprise insights leaders making strategic vendor and platform decisions. Specifically, the: Supply side is very mature. BI technology has […].

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Top 13 Skills To Become a Rockstar Data Scientist

KDnuggets

Education, coding, SQL, big data platforms, storytelling and more. These are the 13 skills you need to master to become a rockstar data scientist.

Big Data 119
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DataHack Radio #24: Exploring and Designing Chatbots with RASA’s Justina Petraityt?

Analytics Vidhya

Introduction Chatbots are the most common application of Natural Language Processing (NLP). Organizations are scrambling to integrate chatbots into their daily functions to enhance. The post DataHack Radio #24: Exploring and Designing Chatbots with RASA’s Justina Petraityt? appeared first on Analytics Vidhya.

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AI Ethics: Building Trust by Following Ethical Practices (Part 2)

DataRobot

In our first blog post on the topic of AI Ethics, we covered the promise that artificial intelligence (AI) holds to improve the speed, accuracy, and operations of businesses across a range of industries. With the potential of AI, it’s hard to believe that businesses are hesitating to move forward with AI projects, but fear holds people back. They fear making mistakes that could damage their company’s reputation or doing something illegal or unethical.

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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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Many Blockchain Use Cases Need IoT To Succeed, And More

Martha Bennett

Many of the most advanced and successful blockchain projects involve use cases related to supply chain and logistics, ranging from documentation management and goods tracking to trade finance. Having access to a ‘golden record’ of key data is clearly a benefit in its own right – no more phone calls and email exchanges to reconcile […].

IoT 91
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Is SQL needed to be a data scientist?

KDnuggets

As long as there is ‘data’ in data scientist, Structured Query Language (or see-quel as we call it) will remain an important part of it. In this blog, let us explore data science and its relationship with SQL.

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AI in Analytics: The NLQ Use Case

Sisense

Blog. In my previous blog , I wrote about Natural Language Query (NLQ, or search analytics for some), as one of the major topics that we, the AI group in Sisense, are working on. NLQ is one of the oldest AI disciplines, but we’ve only recently started hearing about it in conjunction with BI and analytics. In this blog, I would like to expand on NLQ and discuss how this AI technology can be leveraged in our domain.

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Big Data Is Already A Thing Of The Past: Welcome To Big Data AI

Smart Data Collective

Not long ago, big data was one of the most talked about tech trends , as was artificial intelligence (AI). But, in case people need a reminder of how fast technology evolves , they only need to consider something newer — big data AI. It combines elements of both technologies. AI allows computers to perform cognitive functions, much like the human brain.

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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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Why are so many businesses still doing a poor job of managing data in 2019?

Peter James Thomas

I was asked the question appearing in the title of this short article recently and penned a reply, which I thought merited sharing with a wider audience. Here is an expanded version of what I wrote: Let’s start by considering some related questions: Why are so many businesses still doing a bad job of controlling their costs in 2019? Why are so many businesses still doing a bad job of integrating their acquisitions in 2019?

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Fantastic Four of Data Science Project Preparation

KDnuggets

This article takes a closer look at the four fantastic things we should keep in mind when approaching every new data science project.

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Okay, You Got a Knowledge Graph Built with Semantic Technology… And Now What?

Ontotext

In this article, we argue that a knowledge graph built with semantic technology (the type of Ontotext’s GraphDB) improves the way enterprises operate in an interconnected world. With several examples, you will see how knowledge management can be made smarter using the potential of semantic technology to fuse data, analyze relationships, detect patterns and infer new facts from enriched datasets. .

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Data Privacy Advocates Must Avoid GDPR Complacency at All Costs

Smart Data Collective

The Global Data Protection Regulation (GDPR) was enacted in May 2018. This law was one of the most revolutionary attempts to strengthen privacy rights in the European Union. Many experts are still trying to determine how effective the law has been. The GDPR has provided some important safeguards to consumers in the European Union and abroad. Since all companies that cater to European consumers must abide by these regulations, consumers outside of the European Union can still benefit from them wh

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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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Building the Ultimate Sales Dashboard

Jet Global

We all know that data is the key to actionable decision making. In a fast-paced job like sales, you are surrounded by it. From gathering customer data to monitoring sales status to tracking goals, salespeople are collecting and using data at every possible minute. The challenge with having all of this data at your fingertips is organizing it. Without the right strategy and business intelligence tool in place, you are not able to derive meaningful insights from the data you work so hard to accumu

Sales 74
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Top Certificates and Certifications in Analytics, Data Science, Machine Learning and AI

KDnuggets

Here are the top certificates and certifications in Analytics, AI, Data Science, Machine Learning and related areas.

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Ethical Data Sensemaking

Perceptual Edge

Simply stated, data sensemaking is what we do to make sense of data. We do this in an attempt to understand the world, based on empirical evidence. Those who work to make sense of data and communicate their findings are data sensemakers. Data sensemaking, as a profession, is currently associated with several job titles, including data analyst, business intelligence professional, statistician, and data scientist.

Sales 73
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The 10 Best Business Intelligence Tools For Small And Big Business

Smart Data Collective

Big or small, every business needs good tools to analyze data and develop the most suitable business strategy based on the information they get. Business intelligence tools are means that help companies get insights from their data and get a better understanding of what directions and trends to follow. Regardless of the scale of your business, implementing the right business intelligence tool can help you get more use of your data than ever and drive more profit.

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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.