Sat.Jul 23, 2022 - Fri.Jul 29, 2022

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Pandas Functions You Should Know for Data Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Any data science task starts with exploratory data analysis to learn more about the data, what is in the data and what is not. Having knowledge of different pandas functions certainly helps to complete the analysis in time. Therefore, I have listed […]. The post Pandas Functions You Should Know for Data Analysis appeared first on Analytics Vidhya.

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7 traits of inspirational IT leaders

CIO Business Intelligence

All successful CIOs know how to instruct, motivate, energize, and even excite their teams. Yet only a relative handful of IT leaders can truly be described as inspirational figures, capable of leading their teams to goals that collegues at other enterprises can only dream about. CIOs who are purposefully positive and responsible, with a focus on integrity, tend to inspire others, says Ola Chowning, a partner at global technology research and advisory firm ISG.

IT 140
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Discover Powerful Small Business Dashboards & KPIs To Track For Success

datapine

Table of Contents. 1) What Is A Small Business Dashboard? 2) What Are Small Business KPIs? 3) Why Do You Need Small Business Dashboards. 4) Small Business Dashboard & KPIs Examples. The times were data analysis was segregated to big enterprises that had the necessary resources to carry it out are long gone. Today, thanks to the rise of self-service BI tools, the analytical doors have been opened to a wider audience.

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Tableau Brings Business Intelligence to Business Users

David Menninger's Analyst Perspectives

Organizations are collecting vast amounts of data every day, utilizing business intelligence software and data visualization to gain insights and identify patterns and errors in the data. Making sense of these patterns can enable an organization to gain an edge in the marketplace and plan more strategically.

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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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Analysis on Dark Chocolates using Python and Plotly

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Who doesn’t love chocolate? Everybody does. But not everyone likes dark chocolates as they taste bitter. But if you want to be healthy and want to overcome some stressful situation, this bad guy will give you some relief. Just take a bite […]. The post Analysis on Dark Chocolates using Python and Plotly appeared first on Analytics Vidhya.

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IT leaders get creative to fill data science gaps

CIO Business Intelligence

For the past few years, IT leaders at a US financial services company have been struggling to hire data scientists to harness the increasing flood of incoming data that, if used properly, could improve customer experience and drive new products. To deal with this hiring problem, they’ve had to get creative. They’re not just offering remote work and flexible hours.

More Trending

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5 Vital Business Intelligence Tips All Companies Should Embrace

Smart Data Collective

Business intelligence is an integral part of any business strategy. It helps to turn your data or objectives into something meaningful. Business intelligence software can integrate information and present it in dashboards, reports, or graphs. Sixty-four percent of BI users have felt it was very helpful. It is also essential for a business to have a bi consultant who helps the business enhance its data strategy and processes.

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Top Interview Questions & Answers for Apache Sqoop

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction One of the sources of Big Data is the traditional application management system or the interaction of applications with relational databases using RDBMS. Such RDBMS-generated Big Data is kept in the relational database structure of Relational Database Servers. Big Data storage and analysis […].

Big Data 399
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The 5 Hardest Things to Do in SQL

KDnuggets

The 5 hardest things Josh Berry, a 15 year analytics professional, experienced while switching from Python to SQL. Offering examples, SQL code, and a resource to customize the SQL to your own project.

Analytics 126
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Responsible AI Needs Strong Advocates: Meet Dataiker Triveni Gandhi

Dataiku

It takes a village, or more accurately a diverse group of brilliant advocates and experts to develop a strong approach to governed and safe AI. At Dataiku, we’re lucky enough to have such people in our company, and Triveni Gandhi, Data Scientist and Responsible AI Lead, is one of them. Triveni has recently won the 2022 VentureBeat Women in AI Award in the Responsibility and Ethics of AI category.

IT 105
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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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5 Tips to Improve the Data Security of Software Applications

Smart Data Collective

In today’s world, data is increasingly being shared and stored electronically. Therefore, the need to protect data from unauthorized access or theft is more important than ever. The of data breaches cannot be overstated. Over 440 million data records were exposed in data breaches in 2018 alone. This figure is growing as more people work from home and don’t take adequate precautions.

Software 110
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An End-to-end Guide on Anomaly Detection with PyCaret

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Have you ever wondered how a person or a bank is notified of the wrongful transaction of his credit card, like how did system can notify that particular person or the bank about the transaction, which will help save his money by […]. The post An End-to-end Guide on Anomaly Detection with PyCaret appeared first on Analytics Vidhya.

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Practical Deep Learning from fast.ai is Back!

KDnuggets

Looking for a great course to go from machine learning zero to hero quickly? fast.ai has released the latest version of Practical Deep Learning For Coders. And it won't cost you a thing.

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Eight Considerations When Choosing a Data Store for Data Science

Domino Data Lab

Selecting the right technology that enables data scientists to focus on data science and not IT infrastructure will help enterprises reap the benefits of their investments in data science and machine learning.

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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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5 Reasons SoD Protocols Are Vital to Modern Data Security

Smart Data Collective

Data breaches are becoming far more common these days. Security Magazine reports that over 22 billion records were exposed in the over 4,000 publicly disclosed data breaches last year. The actual number is likely higher, since many data breaches are never reported. We have talked extensively about the importance of taking precautions to prevent data breaches.

Risk 110
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Scaling- Transformers, Laws and Challenges

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The other day, I was reading “Natural Language Processing with Transformers” a book authored by Lewis Tunstall, Leandro von Werra, and Thomas Wolf. In it, I came across Scaling laws and challenges associated with scaling Transformer models. This topic also included excerpts […].

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KDnuggets News, July 27: The AIoT Revolution: How AI and IoT Are Transforming Our World • Introduction to Hill Climbing Algorithm

KDnuggets

Calculus for Data Science • Real-time Translations with AI • Using Numpy's argmax() • Using the apply() Method with Pandas DataFrames • An Introduction to Hill Climbing Algorithm in AI.

IoT 121
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Data tokenization: A new way of data masking

CIO Business Intelligence

While researchers examined the pandemic in relation to how companies managed to keep afloat in such an unprecedented situation, auditors assessed the increased data vulnerability, lack of data compliance, and costs incurred by such events. As businesses were forced to adapt new styles of working and adapt technologies, they struggled to meet security compliance standards like the General Data Protection Regulation (GDPR) and lagged in responding to data breaches.

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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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5 Setmore Alternatives that Use Big Data to Manage Appointments

Smart Data Collective

Big data technology has helped businesses improve efficiency in many important ways. Many companies are using big data to streamline many different aspects of their business. They use data analytics tools to improve financial management, One of the ways that many companies are using big data is to improve the way that they manage appointments. They can use data-driven appointment management tools to make this process easier than ever.

Big Data 109
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How a Delta Lake is Process with Azure Synapse Analytics

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction We are all pretty much familiar with the common modern cloud data warehouse model, which essentially provides a platform comprising a data lake (based on a cloud storage account such as Azure Data Lake Storage Gen2) AND a data warehouse compute engine […]. The post How a Delta Lake is Process with Azure Synapse Analytics appeared first on Analytics Vidhya.

Data Lake 398
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Is Domain Knowledge Important for Machine Learning?

KDnuggets

If you incorporate domain knowledge into your architecture and your model, it can make it a lot easier to explain the results, both to yourself and to an outside viewer. Every bit of domain knowledge can serve as a stepping stone through the black box of a machine learning model.

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Being the Best Digital Bank is Not Enough

Teradata

For many, banking is now a digital activity. But the financial services industry still trails many others in leveraging cloud technologies to build deeper, emotional attachments to their customers.

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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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AIOps reimagines hybrid multicloud platform operations

IBM Big Data Hub

Today, most enterprises use services from more than one Cloud Service Provider (CSP). Getting operational visibility across all vendors is a common pain point for clients. Further, modern architecture such as a microservices architecture introduces additional operational complexity. Figure 1 Hybrid Multicloud and Complexity Evolution. Traditionally this calls for more manpower.

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ETL Pipeline with Google DataFlow and Apache Beam

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Processing large amounts of raw data from various sources requires appropriate tools and solutions for effective data integration. Many companies prefer to work with serverless tools and codeless solutions to minimize costs and streamline their processes. Building an ETL pipeline using Apache […].

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Does the Random Forest Algorithm Need Normalization?

KDnuggets

Normalization is a good technique to use when your data consists of being scaled and your choice of machine learning algorithm does not have the ability to make assumptions on the distribution of your data.

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How a CIO’s approach to cloud, AI and ML is transforming Nigeria’s Dangote Industries

CIO Business Intelligence

Prasanna Burri began his career as a mechanical engineer in India but had a secret passion for IT. His endeavour to get into the technology space led him to learn about enterprise application platforms and he eventually started his ERP career at IBM. Later he joined SAP Labs in the US where he was immersed in product management for cloud technology.

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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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Full-day Power BI for Enterprise Solutions Workshop in Chicago, Sept 12

Paul Turley

If you are in the Chicago area and haven’t already registered for the Data Insights Summit, please join me. I will be teaching a full-day workshop specifically focused on Power BI enterprise-scale solution best practice design. With in-person events resuming, I’m excited to get back into the classroom and teach what I love so much.

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SQL Commands for Data Science

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction SQL?—?A structured query language is a must-know tool for everyone working with datasets. As its name suggests, it is primarily used to query, i.e., fetch the data from the relational database where data is stored in the form of tables. SQL helps […]. The post SQL Commands for Data Science appeared first on Analytics Vidhya.

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Top Posts July 18-24: Free Python Automation Course

KDnuggets

Free Python Automation Course • Machine Learning Algorithms Explained in Less Than 1 Minute Each • Parallel Processing Large File in Python • 12 Most Challenging Data Science Interview Questions • Decision Tree Algorithm, Explained.

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Australia’s IT leadership moves 2022

CIO Business Intelligence

Digital transformation has continued to gain space across public and private sectors. As IT is the fuel for digitisation, enterprise technology leaders are increasingly being sought after by companies. CIO Australia consistently tracks the moves of IT leaders. Here’s an update on the moves of Australian IT leaders starting from June 2022. If you want to share your next move with us, please message our A/NZ editor.

IT 98
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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.