April, 2022

Is Quantum Computing the Future of Artificial Intelligence?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Forbes.com Introduction It is not hidden from the audience that quantum computing is the future of data processing.

How scenario planning helps you take control in uncertainty

Phocas

It’s no secret the most successful, forward-thinking organizations can adapt to change fast. They have an eye on the future, plan for different scenarios, and as a result – end up miles ahead of their competitors. finance executive financial statements dynamic reporting budgeting and forecasting

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5 Foundational Facts to Understand the Data Labeling Process

DataFloq

The data labeling market is growing at a remarkable rate. Recent estimates suggest that it will be worth over $38 billion by 2028.

The Next Wave of ‘Ops’ Advances on the Data Center

DataKitchen

News News / PR

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The Essential Supply Chain Network Design Tooling Checklist

Dedicated supply chain network design software is fuelled by intuitive scenario analysis capabilities and powerful mathematical optimization. Answer 10 relevant questions to see if advanced network design & scenario modeling technology can help you.

Denodo Advancing Data Virtualization in the Cloud

David Menninger's Analyst Perspectives

Organizations have been using data virtualization to collect and integrate data from various sources, and in different formats, to create a single source of truth without redundancy or overlap, thus improving and accelerating decision-making giving them a competitive advantage in the market.

Data Scientist, Data Engineer & Other Data Careers, Explained

KDnuggets

In this article, we will have a look at five distinct data careers, and hopefully provide some advice on how to get one's feet wet in this convoluted field. KDnuggets Originals Career Advice

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More Trending

How to improve forecast accuracy | Phocas

Phocas

Are your forecasts as close to reality as possible – or are they missing the mark? The reliability of your forecasts can only be as good as your data. Because without reliable, high-quality data? It’s near impossible to produce accurate forecasts the business can depend on.

How to Add AI To Your WordPress Site?

DataFloq

Artificial Intelligence and WordPress development are not disassociated terminologies. Integration of AI into your WordPress website can bring manifold benefits. Read ahead to learn more.Â

Dapper Data Podcast: DataKitchen and DataOps – Episode #54 w/ Chris Bergh

DataKitchen

Podcast Uncategorized Webinar / Podcast

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What Artificial Intelligence can Help Businesses Manage Their Online Profiles

Smart Data Collective

A lot of factors go into building a business, but online reputation is a huge part of it. A lot of organizations don’t recognize the role that AI technology can play when it comes to business management, improving customer relationships and managing your business’s online profile.

Omnichannel is Multichannel 2.0

Multichannel and omnichannel marketing are not the same. Many organizations are striving for omnichannel, but it can be a daunting journey—unless you have a map. Download your copy of the ultimate omnichannel guide today!

DBSCAN Clustering Algorithm in Machine Learning

KDnuggets

An introduction to the DBSCAN algorithm and its implementation in Python. KDnuggets Republished Machine Learning

Track Your Trip Through an OBD system Using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Most drivers nowadays are quite familiar with all the indicators on their car dashboard.

How to improve forecast accuracy

Phocas

Are your forecasts as close to reality as possible – or are they missing the mark? finance executive financial statements dynamic reporting budgeting and forecasting

Learning Machines – How Artificial Intelligence Learns to Improve

DataFloq

Machine learning is a broad concept that applies to any artificial intelligence (AI) program that has the ability to self-modify. These programs may be able to perform error-detection without human intervention, and correct problems or bring them to the attention of a human technician.

Common Use Cases for Mathematical Optimization

What is mathematical optimization and what are some of the most common use cases for across industries? How can this type of prescriptive analytics be applied to lower costs, reduce carbon emissions, and build more resilient supply chains? Find out in this guide.

Can DataGovOps Make Governance Dreams Come True?

DataKitchen

News News / PR

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The 7 Myths of MLOps

Dataiku

MLOps is a term that is gaining a lot of traction, but definitions of the concept remain blurry and many misleading myths are circulating. In “The 7 Myths of MLOps,” a recent Dataiku Product Days session, we have aimed to set the record straight with some reality checks and myth-busting.

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Logistic Regression for Classification

KDnuggets

Deep dive into Logistic Regression with practical examples. KDnuggets Originals Machine Learning

Building a Car Price Predictor Using Spark in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will build a machine learning pipeline that is a Car Price Predictor using Spark in Python. We have already learned the basics of Pyspark in the last article.

Put Your Data to Work: The Complete Playbook

Turn your data into a competitive advantage. This playbook contains: Exclusive stats, research & insights on how the pandemic affected businesses. A comprehensive “Request For Proposal” (RFP) checklist and an interactive quiz to test your data knowledge.

How to get smart Financial Statements and improve profitability

Phocas

While there are numerous metrics to describe a business, the real measure of success is profitability. Think about what has the most meaning to your stakeholders, employees, customers, and suppliers. It’s profit. finance financial statements

How to Stop Ignoring Data Cleansing & Take Control of Your Data Quality

DataFloq

Fun fact – data cleansing is often ignored. Executives and decision-makers aren’t aware of data quality problems while mid-level managers and juniors find it irksome to tackle.

IS DATAOPS MORE THAN DEVOPS FOR DATA?

DataKitchen

News News / PR

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Telco 5G Returns Will Come from Enterprise Data Solutions

Cloudera

This blog post was written by Dean Bubley , industry analyst, as a guest author for Cloudera. .

Guide to Mathematical Optimization & Modeling

What is mathematical optimization and how does it compare to other types of analytics? Which tool should you use to develop optimization applications and scale them across the business? What are best practices for successful adoption? Read now.

The 8 Basic Statistics Concepts for Data Science

KDnuggets

Understanding the fundamentals of statistics is a core capability for becoming a Data Scientist. Review these essential ideas that will be pervasive in your work and raise your expertise in the field. KDnuggets Republished Data Science

Face detection using the Caffe model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this section, we will build a face detection algorithm using Caffe model, but only OpenCV is not involved this time.

Smart Financial Statements: What business leaders need to know

Phocas

There is perhaps nothing more dangerous than for an organization to base decisions on inaccurate or incomplete information. finance financial statements

Artificial Intelligence Technology Trends That Matter for Business in 2022

DataFloq

AI development has now reached a point where businesses of all sizes can use it, and it has a lot of promise. This blog talks about AI trends that companies can use and what experts think about the future of AI. People were curious about what was going to happen next in the field.

The Retailer’s Guide to Marketing Data

Retailers are faced with extraordinary challenges – from changing consumer needs to unpredictable twists & turns in the economy. Learn how innovative retailers use zero-, first-, second-, and third-party data to find their best customers and drive repeat purchases.

AI is Creating Powerful New Online Time Tracking Tools

Smart Data Collective

Artificial intelligence technology has been instrumental in driving many important changes in our daily lives. We use a ton of online tools and mobile apps that rely heavily on AI technology. How important has AI been in transforming mobile apps and online tools?

Geospatial Analytics Made Simple With Dataiku: Distributional Modeling of a Bird Species

Dataiku

You may have read, heard, or experienced first hand the value of geospatial data for a variety of business and daily life applications. You might be also aware that this field of analytics is gaining more and more traction and can get quite complex and challenging in terms of talent and resources.

Naïve Bayes Algorithm: Everything You Need to Know

KDnuggets

Naïve Bayes is a probabilistic machine learning algorithm based on the Bayes Theorem, used in a wide variety of classification tasks. In this article, we will understand the Naïve Bayes algorithm and all essential concepts so that there is no room for doubts in understanding.

A Comprehensive Overview of Sentiment Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction We can clearly see that sentiment analysis is getting more and more popular as e-commerce, SaaS solutions, and digital technologies advance.

Implementing Supply Chain Network Design

Companies want to maximize service levels, but they also want to cut costs. These goals are often at odds with one another. How do you find the optimum balance? This guide offers hands-on advice that will help you use network design to achieve successful results.