datapine

FEBRUARY 14, 2021

“It’s not the organizations that are competing. It’s the supply chains that are competing.” – Wael Safwat, SCMAO. The supply chain is essentially the backbone of any business: a living ecosystem that ensures the smooth, efficient, and consistent delivery of a product or service from a supplier to a customer. And if your supply chain is inefficient, ineffective, or fragmented, it could seriously hinder your commercial prospects.

Metrics 260

Metrics KPI Dashboards Sales 260

DataKitchen

FEBRUARY 17, 2021

The post 2021: The Year Real Time Gets Real first appeared on DataKitchen.

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Analytics Vidhya

FEBRUARY 18, 2021

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction Machine learning.Sounds cool right? When I see those two words, The post Introduction to Machine Learning for Absolute Beginners appeared first on Analytics Vidhya.

Machine Learning 400

Machine Learning Data Science Publishing Analytics 400

O'Reilly on Data

FEBRUARY 19, 2021

Here are some of the most significant themes we see as we look toward 2021. Some of these are emerging topics and others are developments on existing concepts, but all of them will inform our thinking in the coming year. MLOps FTW. MLOps attempts to bridge the gap between Machine Learning (ML) applications and the CI/CD pipelines that have become standard practice.

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Data Lake Data Warehouse Machine Learning Modeling 294

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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

Optimization

TDAN

FEBRUARY 16, 2021

With the new year events well behind us, we’re steadily focused on moving forward in 2021. While we have seen a change in the calendar year, one initiative that continues to be a top priority for businesses is storing, managing, accessing and optimizing corporate data. Given that, let’s consider what I believe will be some […].

Technology 145

Technology Optimization Management Data Architecture 145

Dataiku

FEBRUARY 19, 2021

In January, our Dataiku Lab team presented their annual findings for up-and-coming machine learning (ML) trends , based on the work they do in machine learning research. In this series, we're going to break up their key topics (trustworthy ML, human-in-the-loop ML, causality, and the connection between reinforcement learning and AutoML) so they're easy for you to digest as you aim to optimize your ML projects in 2021.

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Machine Learning Optimization 134

Smart Data Collective

FEBRUARY 16, 2021

Big data has shed some important insights on a number of facets of modern organizational functions. One of the areas that has been shaped by big data is cybersecurity. We have talked about the importance of using big data to strengthen cybersecurity by creating more robust defenses. However, there are also less direct reasons that big data can be important for stopping cyberattacks.

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Big Data Data-driven Risk Reporting 128

Domino Data Lab

FEBRUARY 19, 2021

spaCy is a python library that provides capabilities to conduct advanced natural language processing analysis and build models that can underpin document analysis, chatbot capabilities, and all other forms of text analysis. The spaCy library is available under the MIT license and is developed primarily by Matthew Honnibal and Ines Montani from E xplosion.AI.

Enterprise 119

Enterprise Data Science Modeling Visualization 119

DataCamp

FEBRUARY 19, 2021

Our infographic explains how the open-source revolution has transformed data science and maps out how to become fluent in data manipulation, data visualization, machine learning, reporting and communicating data, and natural language processing.

Data Science 116

Data Science Machine Learning Visualization Reporting 116

Analytics Vidhya

FEBRUARY 17, 2021

ArticleVideos This article was published as a part of the Data Science Blogathon. What is Multicollinearity? One of the key assumptions for a regression-based. The post Multicollinearity: Problem, Detection and Solution appeared first on Analytics Vidhya.

Data Science 389

Data Science Publishing Analytics Structured Data 389

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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?

Business Intelligence

Smart Data Collective

FEBRUARY 15, 2021

Data mining serves many essential purposes in numerous applications. It can be vital for identifying some of the most important social trends affecting people all over the country. Last April, we talked about ways that social data can be useful in business. However, social data can serve even more important purposes, especially for public policy makers, GMOs and leading nonprofits.

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Data mining Statistics IT Big Data 118

erwin

FEBRUARY 19, 2021

Metadata management is key to wringing all the value possible from data assets. However, most organizations don’t use all the data at their disposal to reach deeper conclusions about how to drive revenue, achieve regulatory compliance or accomplish other strategic objectives. What Is Metadata? Analyst firm Gartner defines metadata as “information that describes various facets of an information asset to improve its usability throughout its life cycle.

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Metadata Management Data Quality Cost-Benefit 110

Dataiku

FEBRUARY 15, 2021

When choosing a data science use case, the ultimate goal is to leverage data to support a business decision or action. In simpler terms, just ask yourself: “What question am I trying to answer?” To respond, you will need to communicate and collaborate with your teams to determine any unsolved issues or ideas the company can benefit from — inclusivity is key to identifying all potential use cases or questions you will want to answer using data.

Data Science 106

Data Science 106

Analytics Vidhya

FEBRUARY 18, 2021

ArticleVideos This article was published as a part of the Data Science Blogathon. Photo by Max Fischer from Pexels Machine learning is used. The post A Simple Machine Learning Implementation to Predict Linear Algebra in Python appeared first on Analytics Vidhya.

Machine Learning 384

Machine Learning Data Science Publishing Analytics 384

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📌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.

Data-driven

Paul Turley

FEBRUARY 14, 2021

Part of the the series: Doing Power BI the Right Way Although my professional focus is building enterprise-scale BI solutions, I’ve created my share of informal Power BI reports that were put together quickly, with the goal to create something “good enough” rather then achieving perfection.

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Reporting Enterprise 106

Business Over Broadway

FEBRUARY 14, 2021

A recent survey by Kaggle revealed that data professionals used a variety of different ML algorithms in their work. On average, data professionals used two (median) algorithms. The most frequently used algorithms were 1) linear/logistic regression, 2) decision trees/random forests and 3) Convolutional Neural Networks. The total number of and use of specific algorithms varied across job titles, with ML engineers using the most (4) and DBA/Database Engineers using the least (1).

Machine Learning 106

Machine Learning Data Science Reporting Marketing 106

Juice Analytics

FEBRUARY 15, 2021

It is 2021 and many organizations still have too much data and too little ability to communicate it effectively. If you’re looking to add data storytelling skills to your organization, this is a list of world-class data storytelling thinkers and trainers. Why not learn from best? Lea Pica Lea Pica is one of my all-time favorite presenters and an energetic entrepreneur who honed her data storytelling skills with marketing data.

Visualization 102

Visualization Data-driven Data Science Marketing 102

Analytics Vidhya

FEBRUARY 16, 2021

ArticleVideos This article was published as a part of the Data Science Blogathon. Pre-requisites Understanding of Machine Learning using Python (sklearn) Basics of Django. The post Machine Learning Model Deployment using Django appeared first on Analytics Vidhya.

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Machine Learning Modeling Data Science Publishing 383

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.

Marketing

DataKitchen

FEBRUARY 19, 2021

The post Tame DataOps System Complexity with a DataOps Platform first appeared on DataKitchen.

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100

DataRobot

FEBRUARY 19, 2021

Banks regularly create campaigns to offer new products to their customers. According to market research, it’s easier to sell a product to an existing customer than to sell a product to a new, qualified prospect. In today’s marketplace, banks provide a variety of deposit, lending, and investment products to individuals and businesses, but a good proportion of current customers might only use one or two of them.

Machine Learning 98

Machine Learning Marketing Modeling Risk 98

Alation

FEBRUARY 18, 2021

In the newest release, Alation 2021.1, Alation takes big steps to further accelerate onboarding and adoption, expanding the catalog to welcome more classes of users, and lowering their barrier to entry with more organized information. In 2021.1, Alation increases search relevancy with data domains, adds new data governance capabilities, and speeds up time-to-insight with an Open Connector Framework SDK.

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Data Governance Data Quality Visualization Marketing 98

Analytics Vidhya

FEBRUARY 18, 2021

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction This article introduces the concept of Manifold Learning. It also. The post A Quick Introduction to Manifold Learning appeared first on Analytics Vidhya.

Data Science 356

Data Science Publishing Analytics IT 356

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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

Reporting

FineReport

FEBRUARY 17, 2021

What is Project Management Report? A project management report is a high-level overview of the current status of a project. In another word, it is a formal and regular record of a project state at a given time. Why is project management report critical? To be more explicit about the importance of project management reports, let’s see what they can bring to companies: Monitor what’s working to encourage the explanation and focus Uncover what’s not working to facilitate reflectio

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Reporting Management Dashboards Risk 98

Dataiku

FEBRUARY 17, 2021

According to LinkedIn’s Emerging Jobs on the Rise report for 2021 , data scientist roles are still growing steadily, showing an average annual growth of 35%. As they occupy one of the most multifaceted (and in demand) roles in the data science, machine learning, and AI space, there are some clear skills that most data scientists possess — a general understanding of the industries and businesses they are working across (i.e., key challenges, top use cases), strong communication skills in order to

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Statistics Machine Learning Data Science Reporting 98

Smart Data Collective

FEBRUARY 14, 2021

Big data is fundamental to the future of software development. A growing number of developers are finding ways to utilize data analytics to streamline technology rollouts. Data-driven solutions are particularly important for SaaS technology. New SaaS businesses have discovered that data analytics is important for facilitating many aspects of their models.

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Data-driven Big Data Deep Learning Data mining 90

Analytics Vidhya

FEBRUARY 18, 2021

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction Medical Imaging plays an important role in modern medicine. It. The post A Gentle Introduction to AI for Medical Imaging appeared first on Analytics Vidhya.

Data Science 353

Data Science Publishing Analytics IT 353

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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.

Business Intelligence

CDW Research Hub

FEBRUARY 15, 2021

Cloud-based contact center solutions are one of the most effective ways to scale up contact center capacity during the COVID-19 vaccine rollout. The approval of COVID-19 vaccines was cause for a lot of celebration—but it has also raised a lot of questions about the logistics of a nationwide vaccine rollout. Across the country, many organizations’ phone lines have been overwhelmed with questions from the public about vaccine eligibility, distribution and more.

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Cost-Benefit Interactive Reporting Management 90

Dataiku

FEBRUARY 16, 2021

Insurance is one of the many industries that has been tremendously shaken by the events of 2020. These unprecedented happenings are significantly reshaping the insurance market, pushing insurers to review their approach to numerous sectors and risks. This market shock should not overshadow the longer trends at play which are sustainably transforming the insurance business, across all business lines (P&C, life, savings, and commercial): longevity, health conditions, climate change, and the co

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Insurance Marketing Risk 98

Cloudera

FEBRUARY 16, 2021

In the previous blog post , we looked at some of the application development concepts for the Cloudera Operational Database (COD). In this blog post, we’ll see how you can use other CDP services with COD. COD is an operational database-as-a-service that brings ease of use and flexibility to Apache HBase. Cloudera Operational Database enables developers to quickly build future-proof applications that are architected to handle data evolution.

Machine Learning 88

Machine Learning Data Lake Enterprise Data Warehouse 88

Analytics Vidhya

FEBRUARY 13, 2021

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction Coca-Cola and PepsiCo are well-established names in the soft drink. The post Customer Sentiments Analysis of Pepsi and Coca-Cola using Twitter Data in R appeared first on Analytics Vidhya.

Data Science 353

Data Science Publishing Analytics Unstructured Data 353

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.

Data-driven