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DataFloq
SEPTEMBER 5, 2022
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.
David Menninger's Analyst Perspectives
SEPTEMBER 22, 2022
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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Analytics Vidhya
SEPTEMBER 26, 2022
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.
CIO
SEPTEMBER 23, 2022
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.
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.
Phocas
SEPTEMBER 14, 2022
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 It’s typically a manual, time-consuming process where data often becomes out of date by the time it’s published.
KDnuggets
SEPTEMBER 27, 2022
We explain how choosing a small, representative dataset from a large population can improve model training reliability. KDnuggets Republished Machine Learning
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
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David Menninger's Analyst Perspectives
SEPTEMBER 1, 2022
The migration to cloud is obvious. Organizations are adopting cloud computing for all variety of applications and use cases.
Analytics Vidhya
SEPTEMBER 21, 2022
This article was published as a part of the Data Science Blogathon.
CIO
SEPTEMBER 26, 2022
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.
Phocas
SEPTEMBER 14, 2022
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.
Advertiser: Datadog
In this eBook, learn what the top five business outcomes are that organizations see when leveraging Datadog's end-to-end monitoring tool.
KDnuggets
SEPTEMBER 21, 2022
How to increase your chances of avoiding the mistake. KDnuggets Republished Data Science
DataFloq
SEPTEMBER 18, 2022
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.
David Menninger's Analyst Perspectives
SEPTEMBER 27, 2022
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.
Analytics Vidhya
SEPTEMBER 22, 2022
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.
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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.
CIO
SEPTEMBER 9, 2022
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.
Smart Data Collective
SEPTEMBER 8, 2022
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?
KDnuggets
SEPTEMBER 20, 2022
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.
DataFloq
SEPTEMBER 6, 2022
The rapid evolution of digital innovations has ensured the modification of systems, interactions, and processes associated with the health and wellness industry.
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.
David Menninger's Analyst Perspectives
SEPTEMBER 15, 2022
Business intelligence has evolved. It now includes a spectrum of analytics , one of the most promising of which has been described as augmented intelligence.
Analytics Vidhya
SEPTEMBER 16, 2022
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.
CIO
SEPTEMBER 7, 2022
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.
Rocket-Powered Data Science
SEPTEMBER 24, 2022
[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.
Advertiser: Datadog
In this eBook, you’ll learn how to migrate workloads to Azure and optimize performance for your serverless and containerized applications in Azure.
KDnuggets
SEPTEMBER 16, 2022
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
DataFloq
SEPTEMBER 9, 2022
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.
Smart Data Collective
SEPTEMBER 6, 2022
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.
Analytics Vidhya
SEPTEMBER 26, 2022
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.
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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.
CIO
SEPTEMBER 7, 2022
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.
Cloudera
SEPTEMBER 7, 2022
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.
KDnuggets
SEPTEMBER 27, 2022
Generate the prompt using Phraser and create realistic art using the Diffusion model. KDnuggets Originals Artificial Intelligence
DataFloq
SEPTEMBER 5, 2022
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.
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.
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