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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Supply Chain Strategy (And Why Yours Isn't Working)

Speaker: Michelle Meyer, Founder and CEO of MatterProviders

Michelle Meyer is here to walk you through the future of supply chain strategy, and why your current approach is probably not working. In this exclusive webinar, she will explore ways to develop and perfect your new supply chain strategy in this post-pandemic era of uncertainty.

UK movers and shakers: New CIO and IT executive appointments

CIO

Stay up-to-date with the latest UK CIO and senior IT executive appointments with our revamped and relaunched UK Movers & Shakers noticeboard. The world of the UK CIO is a dynamic one.

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.

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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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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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The Top 5 Business Outcomes Companies Can Achieve From Monitoring Consolidation

In this eBook, learn what the top five business outcomes are that organizations see when leveraging Datadog's end-to-end monitoring tool.

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. .

Object Detection Using Haar Cascade: OpenCV

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will discuss how to implement a haar cascade for object detection in OpenCV. In the last article, we discussed real-time object classification, if you haven’t read it yet, the link is here.

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.

5 Powerful Prescriptive Analytics Examples in Supply Chain

Prescriptive analytics is a type of advanced analytics that optimizes decision-making by providing a recommended action. Supply chain, with its complex planning questions, is typically an area where optimization technology is required. Read about 5 use cases.

Can DataGovOps Make Governance Dreams Come True?

DataKitchen

News News / PR

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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

7 Data Lineage Tool Tips For Preventing Human Error in Data Processing

Smart Data Collective

Errors in data entry might have serious effects if they are not discovered quickly. Human mistake is the most common cause of data entry errors. Since typical data entry errors may be minimized with the right steps, there are numerous data lineage tool strategies that a corporation can follow.

Innovative Applications of Machine Learning in Healthcare Domain

Analytics Vidhya

This article was published as a part of the Data Science Blogathon.

Gain a Competitive Edge: The Importance of a Supplier Diversity Program

Speaker: Rod Robinson, SVP of the Supplier Diversity Practice, Insight Sourcing Group

In this exclusive webinar, Rod Robinson, SVP of the Supplier Diversity Practice Lead & Center of Excellence at Insight Sourcing Group, dives into the key benefits corporations are seeing emerge from their supplier diversity programs, and how you can gain unique competitive advantages with a supplier diversity program of your own.

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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130

5 Different Ways to Load Data in Python

KDnuggets

Data is the bread and butter of a Data Scientist, so knowing many approaches to loading data for analysis is crucial. Here, five Python techniques to bring in your data are reviewed with code examples for you to follow. KDnuggets Originals Python

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Modernizing Workloads with the Cloud: How to Improve Performance & Reduce Costs

In this eBook, you’ll learn how to migrate workloads to Azure and optimize performance for your serverless and containerized applications in Azure.

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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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.

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.

Getting Started With Scenario Modeling in Supply Chain Network Design

To build your supply chain’s agility and responsiveness, you need to look at scenarios more frequently instead of relying on a single plan. Let’s explore how you can apply scenario modeling in supply chain network design.

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.

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.

How to prioritize data strategy investments as a CDO

IBM Big Data Hub

My first task as a Chief Data Officer (CDO) is to implement a data strategy. Over the past 15 years, I’ve learned that an effective data strategy enables the enterprise’s business strategy and is critical to elevate the role of a CDO from the backroom to the boardroom.

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.

Secure Your Supply Chain: How to Build Resiliency for the Future

Speaker: Bart Huthwaite, Principal, RSM, Operations and Supply Chain

In this webinar, Bart Huthwaite will explore best practices in building and improving supply chain resilience for a successful and productive future.