January, 2021

9 Tips for a Seamless Transition to Data Science for Absolute Noobs!

Analytics Vidhya

ArticleVideos Overview The data science industry is growing exponentially It is important to have a clear understanding of the very basic questions before you. The post 9 Tips for a Seamless Transition to Data Science for Absolute Noobs! appeared first on Analytics Vidhya.

How the Internet of Things and AI will Transform Sports Business?

Smart Data Collective

If there’s one industry that had previously remained fairly untouched from the technological advancements, it is the sports domain. However, over time the sector is getting introduced with several new generation technologies intended to make it efficient and smart.

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Chart Selection Guide

The Data Visualisation Catalogue

On the site’s Instagram , there’s a series of posts that each list with icons, the chart types recommended based on what you can communicate or analyse with them. In total, there were 15 posts created, each with a particular category and color theme.

Putting Text on Image Using Python

DataFloq

Computer graphics teaches us how a pixel on a screen can be manipulated to draw beautiful shapes, artistic typography, eye-catching illustrations, ‘make-me-look-good’ photo-filters, and a lot more.

The Best Data Retention Policy & Template To Get You Started

In this whitepaper from Onna, we will walk you through data retention best practices and provide you with a downloadable template to help you get organized and gain better visibility into your data’s lifecycle.

All in the Data: Never a “Right” Time for Data

The Data Administration Newsletter

Several years ago, I wrote an article called the Data Governance Bill of “Rights.” I also speak often about my Bill of “Rights” in many of my webinars and presentations. Please notice that I put the word “rights” in quotations.

Snowflake Builds on Its Success

David Menninger's Analyst Perspectives

Traditional on-premises data processing solutions have led to a hugely complex and expensive set of data silos where IT spends more time managing the infrastructure than extracting value from the data.

IT 217

More Trending

Why spreadsheet reporting is killing your business

Phocas

Microsoft Excel is frequently referred to as the number one business intelligence (BI) tool because it is one of the most commonly used applications. For smaller businesses, Excel is a useful tool for simple calculations and analysis.

Customer Data Analytics is Critical to the Future of Account-Based Marketing

Smart Data Collective

We have talked at length about the importance of data analytics in the field of marketing. Data analytics offers many useful insights for companies striving to boost their market share. One of the best applications of data analytics is through enhanced account-based marketing.

Data Quality Can Make Or Break Your Healthcare Business

DataFloq

Whether it’s handwritten by a doctor on a sheet of paper or entered into a computer system, data plays a crucial role in healthcare. At an individual level, patient data determines the course of treatment.

PyCaret 2.2: Efficient Pipelines for Model Development

Domino Data Lab

Data science is an exciting field, but it can be intimidating to get started, especially for those new to coding.

Building Evolvable Architectures

Speaker: Dr. Rebecca Parsons, CTO of ThoughtWorks

The software development ecosystem exists in a state of dynamic equilibrium, where any new tool, framework, or technique leads to disruption and the establishment of a new equilibrium. Predictability is impossible when the foundation architects plan against is constantly changing in unexpected ways. It’s no surprise many CIOs and CTOs are struggling to adapt, in part because their architecture isn’t equipped to evolve. This webinar will discuss what’s at stake if companies continue to use long term architecture plans.

Cloudera Consolidates Its Data Platform

David Menninger's Analyst Perspectives

Organizations are dealing with exponentially increasing data that ranges broadly from customer-generated information, financial transactions, edge-generated data and even operational IT server logs. A combination of complex data lake and data warehouse capabilities are required to leverage this data.

IT 158

ML Interpretability using LIME in R

Analytics Vidhya

ArticleVideos Overview Merely building the model is not enough without stakeholders not being to interpret the outputs of your model In this article, understand. The post ML Interpretability using LIME in R appeared first on Analytics Vidhya.

How can wholesale food businesses increase sales?

Phocas

The wholesale food industry is faced with many new challenges as a result of the pandemic, most notably a decline in demand for goods as hotels, restaurants, schools and sporting venues operate at a lower capacity.

Sales 171

Artificial Intelligence Creates Tremendous Changes for the Direction of Marketing

Smart Data Collective

Artificial intelligence (AI) powered solutions have popped up across numerous industries. From healthcare to transportation, it has found applications in a vast number of things and business marketing is no different.

Are Your Embedded Analytics DevOps-Friendly?

Does your analytics solution work with your current tech stack and DevOps practices? If not, any update to the analytics could increase deployment complexity and become difficult to maintain. Learn the 5 elements of a DevOps-friendly embedded analytics solution.

How IoT Is Transforming the Future of Food

DataFloq

Interconnected technologies have slowly permeated each aspect of human life. From health, fitness and home security to large-scale industries, the Internet of Things (IoT) makes it possible to automate nearly anything.

IoT 229

Object Detection With Deep Learning on Aerial Imagery

Dataiku

Imagine you’re in a landlocked country, and a mystery infection has spread. The government has fallen, and rebels are roaming the country. If you’re the armed forces in this scenario, how do you make decisions in this environment? How can you fully understand the situation at hand?

Tableau and Salesforce bring New Look to Business Analytics

David Menninger's Analyst Perspectives

Businesses are transforming their organizations, building a data culture and deploying sophisticated analytics more broadly than ever. However, the process of using data and analytics is not always easy.

Bear run or bull run, Can Reinforcement Learning help in Automated trading?

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction Bear and bull are terms that you will get to. The post Bear run or bull run, Can Reinforcement Learning help in Automated trading? appeared first on Analytics Vidhya.

Digital Trends Report 2020

As part of our goal to continue helping our community during these times, we wanted to share with you this critical data on the state of digital products across industries and provide context on how businesses are responding to the changing winds.

How can data analytics help janitorial and sanitary companies grow their business?

Phocas

Having a clean living and working environment is paramount, which has only heightened since the onsite of the coronavirus. When it comes to sanitation and cleanliness, this cannot be taken for granted – especially as workspaces and homes need to meet specific safety standards.

Data Governance is Vital to the Future of a World Ruled by Artificial Intelligence

Smart Data Collective

Artificial intelligence has been a huge revolutionary advance for modern consumers and businesses. It has led to some of the most important and pressing discoveries. The market was worth $39.9 billion in 2019 and is growing at a pace of 42% a year between 2020 and 2027.

What Is Master Data Management (MDM)

DataFloq

Master Data Management (MDM) describes a type of enterprise data management architecture, governed by a collection of formal data quality practices and processes, designed to leverage digital technologies for the entire business.

Fostering community to help drive cultural change

Cloudera

2020 put on full display how humanity shows up in times of hardship. We saw everything from street celebrations to usher weary medical personnel home after long days fighting to save lives to places like food banks receiving more donations and volunteers than ever before.

5 Things a Data Scientist Can Do to Stay Current

DataRobot together with Snowflake – a leading cloud data platform provider — is helping data scientists stay current with the latest technology and data science best practices so that they can excel in an increasingly AI-driven workplace. Five Things a Data Scientist Can Do to Stay Current offers data scientists guidance for thriving in AI-driven enterprises.

Emerging Data Platforms Tackle Big Challenges

David Menninger's Analyst Perspectives

Organizations are always looking to improve their ability to use data and AI to gain meaningful and actionable insights into their operations, services and customer needs.

Quick Steps to Learn Data Science As a Beginner

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Data Science and its applications first caught my attention in 2016. The post Quick Steps to Learn Data Science As a Beginner appeared first on Analytics Vidhya.

Getting the most from your visual BI solution

Phocas

Knowing how to get the most out of your visual business intelligence (BI) software is essential to your business’ success. It can transform your BI solution from just another business system to time-saving software.

C and C++ Are Surprisingly Useful for Data Science Applications

Smart Data Collective

We recently heard from a number of C and C++ experts talk about its merits with data science. Cristiano L. Fontana of OpenSource.com talked about some of these benefits in a recent article.

Testing at Every Stage of Development

Up to 80% of new products fail. The reality is harsh and the reasons why are endless. Perhaps the new product couldn’t oust a customer favorite. Maybe it looked great but was too hard to use. Or, despite being a superior product, the go-to-market strategy failed. There’s always a risk when building a new product, but you can hedge your bets by understanding exactly what your customers' expectations truly are at every step of the development process.

5 Machine Learning Techniques for Image Optimization

DataFloq

Image optimization techniques are implemented for the purpose of reducing the size of an image file. The goal is to help browsers quickly load images, and ensure user experience remains positive.

The Art and Science of FP&A Storytelling

Timoelliott

I recently participated in a web seminar on the Art and Science of FP&A Storytelling, hosted by the founder and CEO of FP&A Research Larysa Melnychuk along with other guests Pasquale della Puca , part of the global finance team at Beckman Coulter and Angelica Ancira , Global Digital Planning Lead at PepsiCo.

Introducing Precisely for Data Integrity

David Menninger's Analyst Perspectives

Data is becoming more valuable and more important to organizations. At the same time, organizations have become more disciplined about the data on which they rely to ensure it is robust, accurate and governed properly.

Avid User of Google Colab? Here are Some Alternatives to Google Colab That you should Know About

Analytics Vidhya

ArticleVideos Overview Understand what is Google Colab Get a list of top Alternatives to Google Colab By no means is this list exhaustive. The post Avid User of Google Colab? Here are Some Alternatives to Google Colab That you should Know About appeared first on Analytics Vidhya.

How Embedding AI-Powered Analytics Can Give You a Competitive Advantage

Embedding dashboards and reports aren’t enough. Futureproof your application by offering instant, actionable insights that will give you and your customers a competitive advantage.