Sat.Sep 17, 2022 - Fri.Sep 23, 2022

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4 methods to help CIOs manage cyber stress

CIO Business Intelligence

In 2020, research found that nearly 90% of CISOs considered themselves under moderate or high levels of stress. Similarly, a 2021 survey by ClubCISO revealed that stress levels significantly increased among 21% of respondents over the last 12 months, adding to mental health issues. Kerissa Varma. Two years on since the start of the pandemic, stress levels of tech and security executives are still elevated as global skills shortages, budget limitations and an ever faster and expanding security th

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7 Machine Learning Portfolio Projects to Boost the Resume

KDnuggets

Work on machine learning and deep learning portfolio projects to learn new skills and improve your chance of getting hired.

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Principal Component Analysis Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Principal Component Analysis, or PCA, is a dimensionality-reduction method frequently used to reduce the dimensionality of big data sets by reducing a large collection of variables into a smaller set that retains the majority of the information in the large set. Reduced […].

Big Data 329
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Top Posts September 12-18: How to Select Rows and Columns in Pandas

KDnuggets

How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • Free Python for Data Science Course • 5 Data Science Skills That Pay & 5 That Don't • 7 Data Analytics Interview Questions & Answers • 5 Tricky SQL Queries Solved.

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15 Modern Use Cases for Enterprise Business Intelligence

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?

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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. Many organizations can’t take full advantage of their data lakes because they don’t know what data actually exists.

Data Lake 278
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What is employee experience? A vital factor for business success

CIO Business Intelligence

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. It can even impact your brand’s reputation long after an employee has exited the company. The COVID-19 pandemic has drastically changed the future of work by normalizing remote work , placing a new emphasis on workplace flexibility , and introducing hybrid w

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More Performance Evaluation Metrics for Classification Problems You Should Know

KDnuggets

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. That's where these additional performance evaluations come into play to help tease out more meaning from your model.

Metrics 160
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AI Meets Data Access Governance

TDAN

Data is the viral sensation crashing the data governance capacity. Use of data is disrupting industries, economies, even some government elections. Unlocking the secrets data holds is the number one challenge in every single company regardless of the size or industry. However, organizations are facing a challenge: having the framework is key. And yet, execution, […].

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IT budgets remain solid, despite tech industry headwinds

CIO Business Intelligence

A report issued Monday by private investment company Bain Capital indicated that, despite the numerous disruptions to the technology industry—including a global supply chain crisis and Russia’s invasion of Ukraine—most IT decision makers foresee either stable budgets or increases for the coming year. Over the past two years, the pandemic’s effects on that figure have been noticeable—at the onset, less than half of those polled said that they expected anything but a decrease in their budget for t

IT 137
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How is Big Data Helping in the Development of Healthcare?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction “Big data in healthcare” refers to much health data collected from many sources, including electronic health records (EHRs), medical imaging, genomic sequencing, wearables, payer records, medical devices, and pharmaceutical research. Its characteristics distinguish it from traditional electronic medical and human health data […].

Big Data 391
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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌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.

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Ways Big Data Creates a Better Customer Experience In Fintech

Smart Data Collective

Big data has led to many important breakthroughs in the Fintech sector. The industry is growing at a remarkable rate due to this new technology. Positive customer experience sits atop the most valuable things critical to the longevity of any business. It helps build brand reputation, enhances a company’s visibility, and encourages customer loyalty, which translates to increased revenues.

Big Data 131
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How To Calculate Algorithm Efficiency

KDnuggets

In this article, we will discuss how to calculate algorithm efficiency, focusing on two main ways to measure it and providing an overview of the calculation process.

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6 tips for successfully leading software developers

CIO Business Intelligence

Developers are notoriously grumpy and unamenable to disruption. They tend to want to continue working until they arrive at a place of completion and satisfaction. . That’s all well and good unless they’ve lost sight of the bigger picture. What’s an IT leader to do? The following perspectives will help you better understand what motivates and mystifies developers and can guide your thinking on how to be the leader your team needs.

Software 137
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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. We at Analytics Vidhya believe in Knowledge sharing, and that’s why we Organize DataHour Sessions every day so that you can Brush up on your Data Science […].

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Marketing Operations in 2025: A New Framework for Success

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.

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Data Governance and Strategy for the Global Enterprise

Cloudera

In a recent blog, Cloudera Chief Technology Officer Ram Venkatesh described the evolution of a data lakehouse, as well as the benefits of using an open data lakehouse, especially the open Cloudera Data Platform (CDP). If you missed it, you can read up about it here. Modern data lakehouses are typically deployed in the cloud. Cloud computing brings several distinct advantages that are core to the lakehouse value proposition.

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Free Microsoft Excel for Beginners Course

KDnuggets

Are you ready to learn Excel from the beginning? In this course, you will learn data entry, essential formulas, data visualization, pivot tables, and much more.

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10 mistakes rookie CIOs make — and how to avoid them

CIO Business Intelligence

Newly minted CIOs have a wealth of guidebooks, white papers, and blogs to help set themselves up for success from day one , as the first 100 days of a new leadership role are crucial. But theory can only take a new leader so far. Practice is how leaders are made, and as anyone who has gone through this challenging process knows, those first months on the job as a CIO are likely to be rife with mistakes.

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Image Classification Using Resnet-50 Deep Learning Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will train a classification model which uses the feature extraction + classification principle, i.e., firstly, we extract relevant features from an image and then use these feature vectors in machine learning classifiers to perform the final classification.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

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.

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Key Criteria When Hiring AI Software Development Agency

Smart Data Collective

There are a number of amazing AI companies. You may want to create an equally successful one. However, you won’t be able to do this without the best experts at your side. There are a lot of factors that you have to take into consideration when hiring a company to help you develop AI applications. There is a huge lack of qualified AI developers, as a recent report from ZDNet recently showed.

Software 108
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AWS AI & ML Scholarship Program Overview

KDnuggets

This scholarship program aims to help people who are underserved and that were underrepresented during high school and college - to then help them learn the foundations and concepts of Machine Learning and build a careers in AI and ML.

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Spelling out the need for CFOs and CIOs to speak the same language

CIO Business Intelligence

If it wasn’t the case before, the last two years have cemented technology as a fundamental growth driver for many organizations. Technology, when used effectively, plays a key role to improve efficiencies and create new capabilities for an organization, not just maintain the status quo. The CIO has traditionally been seen as a gatekeeper of operational continuity, not an integral function of long-term strategy and growth.

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Object Detection Using YOLO And Mobilenet SSD

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Artificial neurons are utilized in deep neural networks for object detection. These artificial neurons are similar to humans composed of neurons. Thus, object detection refers to the detection and localization of objects in an image that belongs to a predefined set of […].

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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What Skills Will Manufacturing Workers Need in the Age of AI?

Smart Data Collective

Artificial intelligence technology is changing the state of the manufacturing sector. Global manufacturers are projected to spend $9.89 Billion on AI technology by 2027. There are countless benefits of investing in AI as a manufacturer. However, this is also going to lead to some major changes that might be a bane for many workers. The good news is that there are still ways for workers to thrive in this field.

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Dimensionality Reduction Techniques in Data Science

KDnuggets

Dimensionality reduction techniques are basically a part of the data pre-processing step, performed before training the model.

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Rebooting expectations to connect and lead in more meaningful ways

CIO Business Intelligence

With over three decades helping organizations around the world prepare and shape the future, Bob Johansen, distinguished fellow at the Institute for the Future (IFTF) and author of 10 bestsellers, breaks down purpose when it comes to the future of work, the importance of compassion and empathy as the pace of AI and ML accelerates, and being able to have as much flexibility and agility when planning for the long term.

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Interview Questions on NLP Fundamentals

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction As everyone knows, natural language processing is one of the most competitive and hot fields in today’s global tech sector. Candidates with good Natural Language Processing skills are sought after by all the large corporations and growing start-ups. Natural language processing is […].

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What Is Entity Resolution? How It Works & Why It Matters

Entity Resolution Sometimes referred to as data matching or fuzzy matching, entity resolution, is critical for data quality, analytics, graph visualization and AI. Learn what entity resolution is, why it matters, how it works and its benefits. Advanced entity resolution using AI is crucial because it efficiently and easily solves many of today’s data quality and analytics problems.

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Improve Underwriting Using Data and Analytics

Cloudera

Insurance carriers are always looking to improve operational efficiency. We’ve previously highlighted opportunities to improve digital claims processing with data and AI. In this post, I’ll explore opportunities to enhance risk assessment and underwriting, especially in personal lines and small and medium-sized enterprises. Underwriting is an area that can yield improvements by applying the old saying “work smarter, not harder.

Analytics 101
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KDnuggets News, September 21: 7 Machine Learning Portfolio Projects to Boost the Resume • Free SQL and Database Course

KDnuggets

7 Machine Learning Portfolio Projects to Boost the Resume • Free SQL and Database Course • Top 5 Bookmarks Every Data Analyst Should Have • 7 Steps to Mastering Python for Data Science • 5 Concepts You Should Know About Gradient Descent and Cost Function.

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How a holistic approach to teaching and learning technology unlocks new possibilities for education

CIO Business Intelligence

The shift to e-learning has changed education for good. Students and educators now expect anytime, anywhere access to their learning environments and are increasingly demanding access to modern, cloud-based technologies that enable them to work flexibly, cut down their workloads, and reach their full academic potential. This means that institutions need to take a holistic approach to education technology (EdTech), including platforms used for teaching and learning, to not only meet these demands

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AWS Braket: The Quantum Computing Tool

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction AWS named the service after a standard quantum notation called Braket, created in the late 1930s by Paul Dirac, a famous theoretical physicist. The Braket is a fully managed AWS service that provides a primarily technology-agnostic environment. Customers can design, develop, test, and […].

Testing 339
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Data Modeling for Direct Mail: Boosting Multi-Channel Reach and Response

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.