September, 2022

How do We Annotate an Image


Business-specific image annotation customized to your automation goals – let custom image annotation experts bring you the aid to functionalize your AI model. Cogito specializes in image annotation technology and image annotation deep learning services. Introduction.

Enhancing Data Catalog with AI

David Menninger's Analyst Perspectives

Organizations are collecting data from multiple data sources and a variety of systems to enrich their analytics and business intelligence (BI). But collecting data is only half of the equation. As the data grows, it becomes challenging to find the right data at the right time.


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Top Blockchain Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Blockchain technology is a decentralized, distributed ledger that preserves a record of digital asset ownership. It is a means to save data and information in a secure digital format.

What is employee experience? A vital factor for business success


Employee experience has become a key factor in defining your company’s overall success. Positive or negative, employee experience can significantly impact your company’s productivity, efficiency, and its ability to recruit and retain talent.

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.

New Phocas feature integrates sales and operational drivers


Capturing non-financial data from sales and operational teams isn’t easy. It’s typically a manual, time-consuming process where data often becomes out of date by the time it’s published.

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How to Correctly Select a Sample From a Huge Dataset in Machine Learning


We explain how choosing a small, representative dataset from a large population can improve model training reliability. KDnuggets Republished Machine Learning

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Cloud Computing Realities – Part 1

David Menninger's Analyst Perspectives

The migration to cloud is obvious. Organizations are adopting cloud computing for all variety of applications and use cases.

How is Big Data Helping in the Development of Healthcare?

Analytics Vidhya

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

4 steps for proving IT’s value to the business


David Vidoni wants to be sure that workers throughout his company know “how IT can transform the business.”. Vidoni, vice president of IT at tech company Pegasystems, gets the word out using various channels, from reports on metrics to easily accessible dashboards.

What is Driver Based Planning?


The devil is always in the detail, especially when it’s budgeting time. When we’re in business planning mode we’re looking at what worked well and what didn’t, as well as projecting most likely and stretch scenarios to plan the next year of cash flow.

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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.

The Mistake Every Data Scientist Has Made at Least Once


How to increase your chances of avoiding the mistake. KDnuggets Republished Data Science

How NFTs Will Transform the Luxury Industry


The luxury industry is not immune to disruption in society and commerce. In fact, it has always understood innovation, has acted accordingly and benefited from its actions. Thus, when blockchain technology came around, the luxury industry quickly embraced the new possibilities it provided.

Cloud Computing Realities Part 2: Hybrid and Multi-Cloud Architectures

David Menninger's Analyst Perspectives

In my first perspective on cloud computing realities , I covered some of the cost considerations associated with cloud computing and how the cloud costing model may be different enough from on-premises models that some organizations are taken by surprise. In this perspective.

Book your Seats now for Upcoming DataHour Sessions

Analytics Vidhya

Introduction Data science is the study of data to gain important business insights. It combines concepts and methods from the domains of mathematics, statistics, AI, and computer engineering.

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.

American Airlines takes flight with analytics transformation


In the wake of the COVID-19 pandemic, airlines have struggled with bad weather, fewer air traffic controllers, and a shortage of pilots, all leading to an unprecedented number of cancelations in 2022.

Migration Guidelines for Data-Driven Ecommerce Companies

Smart Data Collective

Data-driven ecommerce companies have a strong advantage over their competitors. As we stated before, data-driven marketing strategies are extremely valuable for ecommerce companies. What kind of ROI can big data offer for the ecommerce sector?

More Performance Evaluation Metrics for Classification Problems You Should Know


When building and optimizing your classification model, measuring how accurately it predicts your expected outcome is crucial. However, this metric alone is never the entire story, as it can still offer misleading results.

Digitalization in Healthcare Industry- What’s New in 2022


The rapid evolution of digital innovations has ensured the modification of systems, interactions, and processes associated with the health and wellness industry.

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.

Augmented Intelligence Reduces Dependency on AI/ML Skill Sets

David Menninger's Analyst Perspectives

Business intelligence has evolved. It now includes a spectrum of analytics , one of the most promising of which has been described as augmented intelligence.

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Underlying Engineering Behind Alexa’s Contextual ASR

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Conventionally, an automatic speech recognition (ASR) system leverages a single statistical language model to rectify ambiguities, regardless of context.

Measuring the business impact of AI


Artificial intelligence is in transition, both as a technology and in how it’s being used. Companies are increasingly bringing AI pilots out of the test labs and deploying them at scale, and some are seeing significant benefits as a result.

Editorial Review of “Building Industrial Digital Twins”

Rocket-Powered Data Science

[link]. I was asked by the publisher to provide an editorial review of the book “Building Industrial Digital Twins: Design, develop, and deploy digital twin solutions for real-world industries using Azure Digital Twins“, by Shyam Varan Nath and Pieter van Schalkwyk.

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.

5 Concepts You Should Know About Gradient Descent and Cost Function


Why is Gradient Descent so important in Machine Learning? Learn more about this iterative optimization algorithm and how it is used to minimize a loss function. KDnuggets Originals Machine Learning

Data Science Use Cases in Forensic Analytics


Recruitment, training, and skill development, staffing, rewards, and benefits are all part of the standards, as is time to recruitment, cost per recruitment, participation rate, retention rate, addition rate, exchange rate, time to start, and offer.

Can Data Mining Aid with Off-Page SEO Strategies?

Smart Data Collective

Data mining technology has led to some important breakthroughs in modern marketing. Even major companies like HubSpot have talked extensively about the benefits of using data mining for marketing.

Blockchain : Proof-of-Stake (PoS)

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Proof-of-stake is a cryptocurrency consensus mechanism for processing transactions and creating new blocks in the blockchain.

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.

The Future of Machine Learning in Cybersecurity


Machine learning (ML) is a commonly used term across nearly every sector of IT today. And while ML has frequently been used to make sense of big data—to improve business performance and processes and help make predictions—it has also proven priceless in other applications, including cybersecurity.

Large Scale Industrialization Key to Open Source Innovation


We are now well into 2022 and the megatrends that drove the last decade in data — The Apache Software Foundation as a primary innovation vehicle for big data, the arrival of cloud computing, and the debut of cheap distributed storage — have now converged and offer clear patterns for competitive advantage for vendors and value for customers.

Become an AI Artist Using Phraser and Stable Diffusion


Generate the prompt using Phraser and create realistic art using the Diffusion model. KDnuggets Originals Artificial Intelligence

Top 4 Considerations for Designing a Data Product


A data product is a tool or an application that processes data in a statistical way to generate future results. These results are aimed at helping businesses/organizations make better future decisions.

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.