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 142
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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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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 371
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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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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 398
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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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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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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 135
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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 399
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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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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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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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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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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 102
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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

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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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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 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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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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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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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.

Testing 94
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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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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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AI in Healthcare: What the Slope of Enlightenment Will Look Like (Transcript)

DataCamp

Dr. Hugo Bowne-Anderson speaks with Arnaub Chatterjee, Senior Vice President at Medidata Solutions, about how AI has really impacted the healthcare space, and what the future looks like.

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Comparing IBM Watson OpenScale to open source on AI explainability

IBM Big Data Hub

IBM Watson OpenScale helps organizations detect and correct AI model bias and drift, explain AI outcomes, monitor model accuracy, analyze payloads, and more. There are algorithms available in open source that provide some of these capabilities.

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The Insights Beat: Spring Has Sprung — Get Your Data And Analytics Tools In Order

Srividya Sridharan

The time of year has finally arrived when the sun lingers on the horizon longer and longer, life creeps back into the trees, and weather forecasts look much more favorable. But this normally welcome period of seasonal change coincides with unprecedented change in how we are forced to conduct business. In the midst of the […].

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Teradata and the MIT COVID Challenge Hackathon

Teradata

Teradata participated in the MIT COVID Challenge Hackathon to design approaches and mentor teams focused on stamping out the pandemic. Learn more.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.