Sat.Mar 21, 2020 - Fri.Mar 27, 2020

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10 Awesome Data Manipulation and Wrangling Hacks, Tips and Tricks

Analytics Vidhya

Introduction “Efficiency is doing things right. Effectiveness is doing the right thing.” – Zig Zagler As data scientists, we are often taught to be. The post 10 Awesome Data Manipulation and Wrangling Hacks, Tips and Tricks appeared first on Analytics Vidhya.

Analytics 399
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How to Unlock the Full Potential of Enterprise AI

Corinium

Scaling AI capabilities across an entire organization is the best way to unleash the technology’s true potential to drive ROI. AI will add more than $13 trillion to the global economy over the next decade according to Harvard Business Review. Yet, the majority of organizations struggle to get the most out of their AI initiatives.

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Boost Your Productivity Levels With Automated Reporting System & Tools

datapine

Data, information, and insights are all around us. Before we even realize our business potentials and want to act in our competitive market, there is always a new business plan to make, a new strategy to develop, a new report to generate – and they all take time. Since massive amounts of data are generated by every second, businesses are always in the lookout for the best possible data analysis tool that will make their processes easier, faster, and more effective.

Reporting 209
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Writing Business Cases: 6 Things You Should Know About Identifying Project Benefits

BA Learnings

Business cases are often required to justify the need to launch new products/services, initiate projects or invest funds on business initiatives. While some companies identify business benefits with the sole intention of getting business cases approved, more mature companies tend to devote their resources to tracking and measuring these business benefits after the projects have been concluded.

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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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Using Graphs to Identify Social Media Influencers

Analytics Vidhya

Overview Learn how to use graphs to identify social media influencers We will demonstrate several techniques to identify these social media influencers and lay. The post Using Graphs to Identify Social Media Influencers appeared first on Analytics Vidhya.

Analytics 398
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Coronavirus Data and Poll Analysis – yes, there is hope, if we act now

KDnuggets

We examine the growth of coronavirus daily cases in most affected countries, and show evidence that social distancing works in reducing the rate of spread. We also analyze KDnuggets Poll results - the scale of change to online and how Data Science work is likely to increase or drop in different regions. Stay Healthy and practice social distancing!

More Trending

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Struggling To Work Remotely? Try Out These WFH Tips From Juicers

Juice Analytics

With much of the world switching gears to remote working due to the coronavirus pandemic, we know how difficult this transition can be. As Juice employees are all working remotely indefinitely, we had some great discussions about how best to do your jobs in a new environment. Here are a dozen tips from our team that came out of those discussions: Open up your windows, let all the natural light come in.

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Free GPUs for Everyone! Get Started with Google Colab for Machine Learning and Deep Learning

Analytics Vidhya

Google Colab – Now Build Large Deep Learning Models on your Machine! “Memory Error” – that all too familiar dreaded message in Jupyter notebooks. The post Free GPUs for Everyone! Get Started with Google Colab for Machine Learning and Deep Learning appeared first on Analytics Vidhya.

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Why BERT Fails in Commercial Environments

KDnuggets

The deployment of large transformer-based models in dynamic commercial environments often yields poor results. This is because commercial environments are usually dynamic, and contain continuous domain shifts between inference and training data.

Modeling 123
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5 Ingenious Ways To Use Big Data For Customer Engagement

Smart Data Collective

Big data is changing the direction of our economy in unprecedented ways. Every business should look for ways to monetize big data and use it to optimize your business model. The number of companies using big data is growing at an accelerated rate. One poll found that 53% of businesses were using big data analytics in 2017. This figure has presumably risen in the years since.

Big Data 116
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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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Technoslavia: The (Fragmented) World of Data Infrastructure in 2020

Dataiku

The first time we introduced the idea of Technoslavia - the heterogeneous and fragmented picture of the technological world of data infrastructure - was back in 2015. Since then, we’ve updated and re-examined Technoslavia a few times (in 2017 and in 2018). Where are we now at the beginning of a new decade?

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Support Vector Regression Tutorial for Machine Learning

Analytics Vidhya

Unlocking a New World with the Support Vector Regression Algorithm Support Vector Machines (SVM) are popularly and widely used for classification problems in machine. The post Support Vector Regression Tutorial for Machine Learning appeared first on Analytics Vidhya.

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Evaluating Ray: Distributed Python for Massive Scalability

KDnuggets

If your team has started using ?Ray? and you’re wondering what it is, this post is for you. If you’re wondering if Ray should be part of your technical strategy for Python-based applications, especially ML and AI, this post is for you.

Strategy 107
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How Insurance Companies Use Data To Measure Risk And Choose Rates

Smart Data Collective

The auto insurance industry has always relied on data analysis to inform their policies and determine individual rates. With the technology available today, there’s even more data to draw from. The good news is that this new data can help lower your insurance rate. Here is the type of data insurance companies use to measure a client’s potential risk and determine rates.

Insurance 108
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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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AI in Turbulent Times: Navigating Changing Conditions Webinar

DataRobot

Data science teams are scrambling to update their models in the wake of extreme and unforeseen worldwide changes brought on by the global COVID-19 pandemic. In the face of these unprecedented events, one of the key concerns among many data scientists is that their current models could be generating inaccurate or misleading predictions. In the webinar, AI in Turbulent Times: Navigating Changing Conditions , we outlined the steps that data scientists can take to incorporate robustness into their m

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Coronavirus Analysis: Will Social Distancing Help Prevent the Spread?

Analytics Vidhya

Introduction We are in the midst of a global crisis. The coronavirus, or COVID-19, has officially been declared a pandemic and it is wreaking. The post Coronavirus Analysis: Will Social Distancing Help Prevent the Spread? appeared first on Analytics Vidhya.

Analytics 337
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Exploring TensorFlow Quantum, Google’s New Framework for Creating Quantum Machine Learning Models

KDnuggets

TensorFlow Quantum allow data scientists to build machine learning models that work on quantum architectures.

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How Big Data Has Revolutionized the Gaming Industry

Smart Data Collective

Big data is driving a number of changes in our lives. Forbes recently wrote an article about the impact of big data on the food and hospitality industry. However, other sectors are changing as well. Big data phenomenon has revolutionized almost every aspect of an average citizen’s life. Information about our online activity has been accumulating for years, and now is actively used to know more about us.

Big Data 104
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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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8 Template Dashboard Gratis Untuk Berbagai Departemen

FineReport

Kenapa Kita Perlu Template Dashboard? Ketika bos anda menyuruh anda untuk menyerahkan laporan, apakah Anda masih memakai Excel sehingga perlu kerja lembur? Mungkin ini adalah saat yang tepat untuk memakai software pembuat laporan untuk meningkatkan efisiensi kinerja melalui template dashboard. Artikel ini akan difokuskan kedalam kenapa Anda perlu sebuah dashboard, cara pengaturannya, dan gimana template dashboard dapat menolong Anda.

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6 Python Libraries to Interpret Machine Learning Models and Build Trust

Analytics Vidhya

The Case for Building Trust in Machine Learning Models There are approximately 1.2 billion vehicles on the roads around the world. Here’s a bamboozling. The post 6 Python Libraries to Interpret Machine Learning Models and Build Trust appeared first on Analytics Vidhya.

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A Management Reporting Transformation: Sage & CXO

Jet Global

Join us to learn how Sage, a global market leader of business management software for small and medium sized companies, transformed their management reporting production by 5 days. During this 45-minute webinar, we’ll take you through Sage’s journey to understand exactly how they were able to dramatically reduce their monthly management reporting time.

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The Incredibly Important Role Of Big Data In Academia

Smart Data Collective

One of the most important elements in the evolution of the education system is the ability to make informed conclusions about the need to change approaches that are used and the actions that are taken. According to a 2015 whitepaper published in Science Direct , big data is one of the most disruptive technologies influencing the field of academia. The educational system continuously creates and accumulates a significant amount of data, and the question of the systematic work with these data by a

Big Data 101
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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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Top 10 Graph Makers You Can’t Miss in 2020

FineReport

Graph makers are important techniques to visualize the data. I listed 10 BEST Graph Makers for you as a reference. Welcome to take full advantage of it! 1.FineReport. FineReport is a data visualization tool for making graphs, reports, and dashboards. You can easily create basic charts such as pie charts, bar charts, as well as advanced charts such as scatter, bubble, funnel, radar, and Gantt charts.

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Tips for choosing data management solutions: Consider roadmaps, partners, and talent

IBM Big Data Hub

IDC’s report, “ Choosing the Right Database Technology in the Age of Digital Transformation ” highlights the expanse of data management options as well as how that can cause confusion. Having clarity when looking to build new data applications or modernize workloads already in existence is essential.

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Why Analytics Are Essential in Times of Crisis

Sisense

Blog. In Navigating Change in Crisis, we explore how individuals and companies are adapting to a “new normal” in order to keep essential services functioning. We provide actionable advice around how organizations, and ultimately the builders of data and analytic apps, are adapting to meet these changes. These insights aim to help you and your team navigate these unprecedented times.

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How Does AI Help Secure The Supply Chain?

Smart Data Collective

The supply chain is the source of every part of production. From raw materials to manufacturing to distribution, each step requires the most secure transition possible. Sometimes, though, the supply chain can come with various risks that affect these stages. Security issues arise from these vulnerabilities, and merchandise can be damaged or stolen, leading to more headaches and time-consuming procedures.

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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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Made With ML: Discover, build, and showcase machine learning projects

KDnuggets

This is a short introduction to Made With ML, a useful resource for machine learning engineers looking to get ideas for projects to build, and for those looking to share innovative portfolio projects once built.

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What is xP&A?

Jedox

Careful planning and analysis form the foundation for a successful organization. In a fast-changing world where data is generated at every turn, it is crucial that organizations understand how to derive the most knowledge (value) they can from their data to ensure long-term success. This can be as simple as a monthly sales report to know how much product your business sold in the previous month, or more complex, such as a 12-month forecast to guide allocations in the budget for the next fiscal y

Finance 91
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How Data Can Help You Manage Extreme Change

Sisense

Blog. In Navigating Change in Crisis , we explore how individuals and companies are adapting to a “new normal” in order to keep essential services functioning. We provide actionable advice around how organizations, and ultimately the builders of data and analytic apps, are adapting to meet these changes. These insights aim to help you and your team navigate these unprecedented times.

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The Growing Importance Of Machine Learning With Dedicated Servers

Smart Data Collective

Machine learning is changing the web hosting industry in countless ways. Many third-party hosting providers, such as Amazon Web Services have started utilizing machine learning in different capacities. Amazon Sagemaker is among the machine learning tools that have transformed the services that the platform offers to customers. Matthew Fryer, the Vice President and chief data science officer for Hotels.com has spoken very highly of this machine learning service.

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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.