Sat.Apr 11, 2020 - Fri.Apr 17, 2020

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Everything you Should Know about Confusion Matrix for Machine Learning

Analytics Vidhya

Confusion Matrix – Not So Confusing! Have you been in a situation where you expected your machine learning model to perform really well but. The post Everything you Should Know about Confusion Matrix for Machine Learning appeared first on Analytics Vidhya.

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You Can’t Plan on AI and ML

David Menninger's Analyst Perspectives

Artificial intelligence (AI) and machine learning (ML) are all the rage right now. Our Machine Learning Dynamic Insights research shows that organizations are using these techniques to achieve a competitive advantage and improve both customer experiences and their bottom line. One type of analysis an organization can perform using AI and ML is predictive analytics.

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Accomplish Agile Business Intelligence & Analytics For Your Business

datapine

When it comes to implementing and managing a successful BI strategy we have always proclaimed: start small, use the right BI tools , and involve your team. We know that the best approach is an iterative and flexible approach, no matter the size of your company, industry or simply a department. When encouraging these BI best practices what we are really doing is advocating for agile business intelligence and analytics.

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Creating an AI-Ready Data Architecture in the Cloud

Corinium

Sophisticated ML-as-a-service platforms such as Facebook’s FBLearner Flow are ideal for delivering AI-at-scale. But the data architectures that feed into them are just as vital. Automation is what AI algorithms do best. So, it should be no surprise that the world’s most advanced AI-using enterprises are using the technology to automate the process of experimenting with and scaling AI itself.

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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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10 Productive Jupyter Notebook Hacks, Tips and Tricks!

Analytics Vidhya

Overview Jupyter notebooks are a great tool for data scientists but we can make them even better using these hacks, tips, and tricks We. The post 10 Productive Jupyter Notebook Hacks, Tips and Tricks! appeared first on Analytics Vidhya.

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The Growing Importance Of Data Collection For Customer Service

Smart Data Collective

Big data is crucial for any organization that wants to attract and retain customers. A study by McKinsey Global Institute found that data-driven companies are 400% more likely to retain customers and 2,200% more likely to acquire new ones. Back in 2011, my colleagues and I first started discussing the evolving standards of customer service in business.

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Basic Statistics Concepts for Data Scientists

Dataiku

Statistics can be tremendously beneficial for data scientists, both those that are new to the field and those who have been practicing for a number of years. In fact, a large portion of data scientists are former statisticians. Statistics, or the practice of using mathematics to analyze, interpret, and present data, allows us to leverage data — a critical element to any impactful machine learning model — in a deeper, more concrete way.

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Exception Handling in Python – Get Rid of those Errors!

Analytics Vidhya

Introduction Errors are the bane of a programmer’s existence. You write an awesome piece of code, are ready to execute it and build a. The post Exception Handling in Python – Get Rid of those Errors! appeared first on Analytics Vidhya.

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Now More Than Ever! – The Necessity Of Data, Analytics, And Expertise

Bruno Aziza

Now more than ever, data, analytics and expertise are of existential importance. It is not simply a matter of opinion. It has become a public and societal matter of life and death.

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GraphDB Empowers Scientific Projects to Fight COVID-19 and Publish Knowledge Graphs

Ontotext

In only a few months, the COVID-19 pandemic has swept across the world, spreading to more than 200 countries and territories. The coronavirus outbreak has already claimed thousands of lives, grounded flights, canceled sports events and concerts, and plunged economies into recession as countries went into lockdown. As all this progresses, the scientific community races against time to respond to the pandemic by developing diagnostic tests, therapies, pre-clinical and clinical research and vaccine

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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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Performing Social Network Analysis to Fight the Spread of COVID-19

Sisense

Blog. As COVID-19 continues to spread, healthcare groups and companies of all kinds are under pressure to provide care in the face of increasing demand. Healthy Data is your window into how data can help organizations address this crisis. Data is everywhere and every company is focused on what to do with their available data stores: customer journey follow-ups, harvesting precious behavioral insights, performing market analyses, and uncovering sales predictions through Machine Learning, just to

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Getting Started with Community Detection in Graphs and Networks

Analytics Vidhya

Introduction The word “community” has entered mainstream conversations around the world this year thanks in no large part to the ongoing coronavirus pandemic. Given. The post Getting Started with Community Detection in Graphs and Networks appeared first on Analytics Vidhya.

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Advances In Big Data Are Fueling Day Trading Momentum

Smart Data Collective

Big data is becoming an integral part of the financial sector. A recent report shows that financial companies will spend $11.4 billion on analytics by 2023. Large financial brands are seemingly the biggest investors in big data. However, smaller investors and solopreneurs are likely to make big data a focus in the coming years as well. Day traders, in particular, are placing more emphasis on big data technology.

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Protect Yourself From Data Breaches

TDAN

No matter if you work for yourself or others, data breaches can be highly detrimental for an array of reasons. Moreover, by simply canvassing the headlines, you will find out that they are becoming increasingly common and even the larger companies are often not secure enough to fight them off. Nevertheless, by purchasing a high-quality […].

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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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Bagaimana Pemula Dapat Mendesain Visualisasi Data yang Keren?

FineReport

Engapa Kita Memvisualisasi Data? Dalam kerjaan, tak peduli bidang apapun, Anda pasti akan menemukan data dan perlu mengekpresikannya. Peran visualisasi data adalah untuk menyampaikan informasi bisnis dengan lebih baik dengan menggabungkan grafik dan data. Saat ini, hampir semua perusahaan mulai bertransisi dari proses manajemen tradisional ke manajemen berdasarkan data.

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How to Generate Random Numbers in Python?

Analytics Vidhya

The world is governed by chance. Randomness stalks us every day of our lives. . The post How to Generate Random Numbers in Python? appeared first on Analytics Vidhya.

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Agile Reporting for the Manufacturing Industry: 5 Tips for Success

Jet Global

In the midst of massive unexpected change, the organizations that thrive and prosper will be the ones that can adapt most rapidly. As supply chains shift to address unexpected requirements, agility is quickly becoming the hallmark of organizations that can create value and make a meaningful difference in the world. A relatively new concept called “agile finance”—along with its key ingredient “agile reporting”—is empowering businesses to make that shift.

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Big Data Options Spark Confusion On Web Design Options For SMEs

Smart Data Collective

Big data is streamlining the web design process. Companies have started leveraging big data tools to create higher quality designs, personalize content and ensure their websites are resilient against cyberattacks. Last summer, Big Data Analytics News discussed the benefits of using big data in web design. Many of the benefits of big data are outstanding.

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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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COVID-19 Dashboard Guide: From Data Extraction to Data Visualization

FineReport

So far, over 600k people in the United States have been infected with COVID-19, and the growth rate has exceeded imagination, seriously affecting people’s daily lives. When China had effectively controlled the virus, no one expected that COVID-19 would spread throughout the world in the next month. Everyone is now paying attention to the epidemic data of various places.

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How an EPM Solution Supports Managing Economic Uncertainty

Jedox

We are pleased to welcome Mr. Dean Boyer as a guest to the Jedox Blog for our series on “Managing Uncertainty” Mr. Boyer is a Director of Technology Services at Marks Paneth LLP, a premier accounting firm based in the United States. He shares his expertise on how an EPM solution supports managing economic uncertainty, particularly in times of crisis.

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Top ERP Blogs to Follow in 2020

Jet Global

In a world run on data, ERP technologies matter more than ever. Fortunately, a robust community of experts, insiders, and thought leaders blogs regularly about the issues and ideas most important to everyone using an ERP system. These are some of the best ERP blogs to follow in 2020 as determined by their level of quality, activity, variety, and popularity.

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Breaking the COVID-19 Chain with Data Analytics

Teradata

How can Teradata's data analytics platform help communities stop the spread of COVID-19? Find out more.

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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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Perbandingan 6 Jenis dan 14 Software Visualisasi Data (Terbaru 2020)

FineReport

Apa software terbaik untuk memvisualisasi data? Pertanyaan ini cukup rumit karena terdapat banyak macam software untuk memvisualisasi data. Software-software ini dapat memenuhi kebutuhan dan permintaan yang berbeda-beda sesuai dengan keahlian si pengguna. Dalam artikel ini, saya akan mengulas 6 jenis dan top 14 software visualisasi data pada umumnya.

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3 Reasons Landlords Should Reconsider Selling Tenant Data to Marketers

Smart Data Collective

Data is for sale on just about every corner of the internet. Social media platforms have openly acknowledged selling user data and activities to marketers. That same data is freely available to marketers utilizing PPC ad campaigns. Businesses can launch ads to target the usual demographics, but they can also target users who have visited specific websites, joined certain groups, and “liked” specific interests.

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Data Integration: The vital baking ingredient in your AI strategy

IBM Big Data Hub

When people dream about becoming a baker or a pastry chef, they often think about the delicious pastries they'll create, delighting their patrons with towering cakes wrapped in impossibly smooth fondant. But very rarely does anyone start off by thinking about the preparation involved in baking… Without being able to use freshly milled flour for baking, for example, you would actually never be able to eat a good piece of cake or a crusty loaf of bread.

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A Guide to Materialized Views

Sisense

Blog. We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. Data warehouses have changed the way the world deals with data. They are already deployed at countless companies across every industry and the market for these storage and computing solutions could top out at over $3

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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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Work from Home Guide: Be Automatic and Real-time

FineReport

At present, COVID-19 has infected many countries, and its spread in Europe and America is getting faster and faster. To control the epidemic, many companies have launched work from home policy, so how to improve the efficiency of work from home and solve the inconvenience has become the topic that everyone is most concerned about. The Main Problems of Work from Home.

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Becoming A Data Scientist In 2020: Skills, Degrees, And Work Experience

Smart Data Collective

The future of data science jobs continues to be brighter than ever in 2020. Why? According to Glassdoor’s list of Best Jobs in America for the past four years, “data scientist” topped in terms of job demand, job satisfaction, and pay with an average base salary of more than $100,000 per year. So, who are the present-day data scientists and what does it take to become one?

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A Tiny Guide to 'What is Data?'

Juice Analytics

If you’re a data professional like me, you have more time than ever at home for your family to not understand what you do. With that in mind — and the futile goal of energizing my children about my area of expertise — I created the following slides to answer the the question: “What is data?

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Planning with agility in today’s volatile market while simultaneously saving cost

IBM Big Data Hub

In these uncertain times, organizations need the ability to adjust their plans and forecasts in real time to address changing demands and maintain business continuity. Lengthy, labor-intensive, siloed planning processes, often the result of using spreadsheets or sub-par planning software, are too costly for today’s businesses. As the situation becomes more complex, organizations need to adopt solutions that create more intelligent workflows (increasing efficiencies and accuracy) and produce reli

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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.