Sat.Apr 04, 2020 - Fri.Apr 10, 2020

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5 Amazing Google Colab Hacks You Should Try Today!

Analytics Vidhya

Introduction Google Colab is an amazing gift to the data science community from the fine folks at Google. Colab gives us the ability to. The post 5 Amazing Google Colab Hacks You Should Try Today! appeared first on Analytics Vidhya.

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Corinium Meets: Bic Latin America IT Director Leandro Cresta

Corinium

Leandro Cresta, Latin America IT Director at stationery, lighter and razor company Bic, talks about creating and securing executive buy-in for the company’s data strategy, and the changing role of the CDO. You are the architect of Bic’s five-year strategic roadmap for data and analytics. Would you please tell our readers what the company hopes to achieve over that timeframe?

IT 221
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Create Modern SQL Dashboards With Professional Tools & Software

datapine

Companies need to collect, store, monitor, and analyze massive volumes of data in order to manage business performance and successfully deliver profitable results. No matter if your company is small or large, there is a great chance that you’ve been using SQL as the tool to-go when it comes to managing and extracting value from your database. There is still lots of relational database management included when it comes to online data analysis and different possibilities to perform the same.

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5 Artificial Intelligence Trends Changing The eCommerce Industry

Smart Data Collective

Artificial Intelligence (AI) is changing the way that eCommerce companies do business. AI is being implemented in systems across the eCommerce sector. From generating leads to gathering information, AI has improved multiple facets of the industry. Algorithmic bots have revolutionized customer facing services. Automated systems are the driving force behind improvements in back-end eCommerce software. eCommerce AI is a data-driven trend that allows companies to manage and analyze consumer informat

Sales 143
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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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Build your Own Object Detection Model using TensorFlow API

Analytics Vidhya

The World of Object Detection I love working in the deep learning space. It is, quite frankly, a vast field with a plethora of. The post Build your Own Object Detection Model using TensorFlow API appeared first on Analytics Vidhya.

Modeling 388
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Zendesk - Work From Home Tips

Corinium

In these difficult times with more and more of us working from home, managing teams and being productive is an entirely new challenge for a lot of us. When working from home, it’s crucial that you keep your core values at the centre of your planning, along with ensuring that you’re fully prepared with all of the equipment and access you’ll need. Here at Zendesk, we want to help you be as productive and collaborative as if you were in the office , so we've prepared a quick guide to help you get t

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New DoE Program Drives Demand For Machine Learning Programmers

Smart Data Collective

Machine learning is leading to numerous changes in the energy industry. The Department of Energy recently announced that it is taking steps to accelerate the integration of machine learning technology in energy research and development. The head of the Department of Energy announced that they will be investing $30 million in artificial intelligence and machine learning algorithms.

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10 Powerful and Time-Saving Data Exploration Hacks, Tips and Tricks!

Analytics Vidhya

Introduction “ Give me six hours to chop down a tree and I will spend the first four sharpening the axe.” – Abraham Lincoln. The post 10 Powerful and Time-Saving Data Exploration Hacks, Tips and Tricks! appeared first on Analytics Vidhya.

Analytics 388
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Using Small Datasets to Build Models

DataRobot

The world is going through extremely turbulent times. With the ongoing disruption of our lives, communities, and businesses from the COVID-19 pandemic, predictions from existing machine learning models trained prior to the pandemic become less reliable. There is plenty of historical data, but historical examples from before the pandemic may not provide the relevant examples needed to train a model that is useful today.

Modeling 124
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Brandon Rohrer – How Deep Neural Networks Work

Data Science 101

Brandon Rohrer is an expert in neural networks and deep learning. Plus, he makes really excellent videos about the topic. His entire YouTube Channel is worth viewing. How Deep Neural Networks Work by Brandon Rohrer. The post Brandon Rohrer – How Deep Neural Networks Work appeared first on Data Science 101.

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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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4 Key Competitive Advantages of Big Data in Business

Smart Data Collective

90% of all data in the world has been generated in the last two years. With that in mind, it’s not surprising that a lot of companies are struggling with structuring and making sense of the data that they have, which causes various organizational issues, as well as limits the potential growth. That’s why big data companies that can help use that data are in such high demand.

Big Data 139
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How to Read Common File Formats in Python – CSV, Excel, JSON, and more!

Analytics Vidhya

Introduction I have recently come across a lot of aspiring data scientists wondering why it’s so difficult to import different file formats in Python. The post How to Read Common File Formats in Python – CSV, Excel, JSON, and more! appeared first on Analytics Vidhya.

Analytics 372
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What's New in NLP: Transformers, BERT, and New Use Cases

Dataiku

The last couple of years have been anything but boring in the field of natural language processing , or NLP. With landmark breakthroughs in NLP architecture such as the attention mechanisms , a new generation of NLP models — the so-called Transformers — has been born (no, not the Michael Bay kind).

Modeling 119
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Teradata Supports China’s Fight Against COVID-19

Teradata

By fully utilizing the data for telco operators in China, Teradata helped communities battle the COVID-19 epidemic through ongoing public health communication, travel updates and inquiries.

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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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How Will The Cloud Impact Data Warehousing Technologies?

Smart Data Collective

sThe recent years have seen a tremendous surge in data generation levels , characterized by the dramatic digital transformation occurring in myriad enterprises across the industrial landscape. The amount of data being generated globally is increasing at rapid rates. In fact, studies by the Gigabit Magazine depict that the amount of data generated in 2020 will be over 25 times greater than it was 10 years ago.

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Supervised Learning vs. Unsupervised Learning – A Quick Guide for Beginners

Analytics Vidhya

Introduction “What’s the difference between supervised learning and unsupervised learning?” This is an all too common question among beginners and newcomers in machine learning. The post Supervised Learning vs. Unsupervised Learning – A Quick Guide for Beginners appeared first on Analytics Vidhya.

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Display New Daily Cases of COVID-19 with Care

Perceptual Edge

Statistics are playing a major role during the COVID-19 pandemic. The ways that we collect, analyze, and report them, greatly influences the degree to which they inform a meaningful response. An article in the Investor’s Business Daily titled “ Dow Jones Futures Jump As Virus Cases Slow; Why This Stock Market Rally Is More Dangerous Than The Coronavirus Market Crash ” (April 6, 2020, by Ed Carson) brought this concern to mind when I read the following table of numbers and the accompanying commen

Testing 109
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How to Aggregate Global Data from the Coronavirus Outbreak

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 is helping these organizations address this crisis. As the rapid spread of COVID-19 continues, data managers around the world are pulling together a wide variety of global data sources to inform governments, the private sector, and the public with the latest on the spread of this disease.

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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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Can AI Slash the Costs of Accounting Errors in 2020?

Smart Data Collective

Machine learning is helping companies in every sector optimize their business models. Machine learning advances are helping companies solve some of their most obvious problems. However, they are also helping businesses deal with more mundane issues, such as accounting problems. While these problems seem less important at first glance, they are actually very important to address.

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IBM Garage fuels Mueller Inc's AI journey with design thinking

IBM Big Data Hub

In today’s environment, seasoned companies who continue to weather the tests of time suddenly demand greater attention. How do they retain their grit and withstand adversity, whether from the COVID-19 pandemic or digital disruption? How much do values play out in their approach to customers, their ability to embrace new technology, or adopt a new method?

Testing 98
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The Song Jane [Doe, CEO] Likes

Peter James Thomas

In my last post , we met Jane Doe, CEO. This article forms part of her further adventures [1]. The material may seem eerily familiar to anyone who – like me – has a pre-teen daughter. The figures show red in the ledger of dread. Not a bright spot anywhere. A storm of profit warnings. And I’m tearing out my hair. Our shares are tumbling like the rain I hear outside.

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R vs Python: What’s the Best Language for Natural Language Processing?

Sisense

Blog. In Talking Data , we delve into the rapidly evolving worlds of Natural Language Processing and Generation. Text data is proliferating at a staggering rate, and only advanced coding languages like Python and R will be able to pull insights out of these datasets at scale. One of the most-asked questions from aspiring data scientists is: “What is the best language for data science?

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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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Big Data Is Fundamentally Altering the Future of File Transfer Security

Smart Data Collective

Big data is changing the nature of file transfer technology. It is both creating new challenges and new opportunities. The good news is that big data is leading to new file sharing technology, which is making it easier to solve certain file transfer problems. On the other hand, it is increasing the bandwidth requirements companies face. Stewart Harper wrote a blog post about the problems companies face when they try to move big data to the cloud.

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The Importance of Augmented Human Intelligence in Machine Learning

Dataiku

How can the game of checkers be used to illustrate specific machine learning functions? What role does the human play in the process? Find out the answers in this blog post.

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COVID-19 and the Weather: Data from Italy

Insight

Do temperature and humidity affect the spread of coronavirus? We looked for correlations between weather and SARS-CoV-2 spread across the 21 regions of Italy, since these different regions have had different weather over the last few weeks. We didn’t find any strong relationships in the data we have so far. Below, we explain where we looked, and what we found.

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The Data Behind: Retail Analytics in Times of Crisis

Sisense

Blog. Today, every industry is data-driven. In The Data Behind , we dig into the data creating change in rapidly evolving industries. This month, we cover the role that data will play for supermarkets in the face of the COVID-19 pandemic. Consumers around the world are rushing their local supermarkets. From cleaning materials and canned goods, to the dislocated demand for toil et paper, global supermarkets are responding to never-before-seen trends in consumer behavior.

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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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The Importance of Data Protection During the Coronavirus Pandemic

Smart Data Collective

During the recent coronavirus pandemic, we’ve been spending more and more time indoors. That makes us do more things on the internet. Some of us who were lucky enough to keep our jobs and work from home are also continually browsing the web. That might be fun and interesting, but we need to take into account the sheer influx of data that we’re providing to the numerous different web pages.

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Sirius Case Study: Mobilizing Pop-up Drive-through Testing For COVID-19

CDW Research Hub

A healthcare system needed to respond rapidly to the COVID-19 pandemic with pop-up drive-through testing sites. But first they needed a way to secure network connections between testing sites and their data center. To help, Sirius developed a technology-agnostic solution with secure network connections between drive-through clinics and their data centers.

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Assessing and interviewing data engineers from a distance

Insight

When in-person technical interviews are no longer an option, hiring managers still have a wealth of online resources at their disposal. With a properly designed interview process, teams can effectively and efficiently assess whether an applicant has the right set of data engineering skills without having to physically be in the same room. Since 2014, Insight been successfully running a fully distributed and fully remote interviewing process that has helped us sift through thousands of applicatio

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I’m Sorry CXOs, but You’re Mostly Doing Analytics All Wrong

Teradata

There is no ROI in technology - specifically in data analytics, AI & Machine Learning - until we deploy in production and change the way we do business.

ROI 98
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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.