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 331
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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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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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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 238
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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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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 127
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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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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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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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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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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 104
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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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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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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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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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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 100
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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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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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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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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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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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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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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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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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Driving Innovation Through Data and Analytics

Dataiku

When we think about innovation, most of us default to innovation on product/servicing offerings. While offering innovation is very much part of the innovation process, it’s not the only type of innovation, and some might even argue it’s the easiest for competitors to copy. And regardless of what we think innovation is, many of us may wonder how to innovate beyond just relying on the instincts of talented individuals.

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70% of legal departments don’t invest in digital transformation: Report

CIO Business Intelligence

More than 70% of US legal departments across enterprises spanning various industry sectors have not made any investment towards digital transformation in the last two years, according to a joint report from The Association of Corporate Counsel (ACC) and legal-technology company Disco. The report captures insights from a survey of 278 law department leaders and legal operations professionals and shows that larger companies were more open to transformation initiatives than smaller ones.

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Make Model Training and Testing Easier with MultiTrain

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction For data scientists and machine learning engineers, developing and testing machine learning models may take a lot of time. For instance, you would need to write a few lines of code, wait for each model to run, and then go on to […]. The post Make Model Training and Testing Easier with MultiTrain appeared first on Analytics Vidhya.

Testing 301
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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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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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#Clouderalife Volunteer Spotlight: Barry Laide

Cloudera

Cloudera’s September Volunteer Spotlight is Barry Laide, accounting manager for LATAM, based in Cork, Ireland. . Barry volunteers with Kerry Mountain Rescue to provide first aid and rescue in the uplands of southwestern Ireland. The organization was founded in 1966 following the deaths of two climbers on the mountains there, and since then has come to the assistance of numerous climbers and walkers in distress. .

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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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Exploratory Data Analysis of Zomato Bangalore Restaurants

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction With the rise of meal delivery services, everyone can now enjoy their favorite restaurant food from the comfort of their own home. Giant food aggregators and food shipping companies like Zomato have made it feasible. Zomato is one of India’s most extensively […].

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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.