Fri.Jul 14, 2023

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Top 10 Uses of Python in the Real World with Examples

Analytics Vidhya

Python is a versatile and powerful programming language that has changed the face of software development with its ease of use, readability, and rich library support. Python has gained popularity amongst programmers and developers due to applications in various sectors. In this article, we will list the top ten real-world uses of Python, followed by […] The post Top 10 Uses of Python in the Real World with Examples appeared first on Analytics Vidhya.

Software 271
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Should you build or buy generative AI?

CIO Business Intelligence

Whether it’s text, images, video or, more likely, a combination of multiple models and services, taking advantage of generative AI is a ‘when, not if’ question for organizations. Since the release of ChatGPT last November, interest in generative AI has skyrocketed. It’s already showing up in the top 20 shadow IT SaaS apps tracked by Productiv for business users and developers alike.

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Top 14 Data Mining Projects With Source Code

Analytics Vidhya

In today’s era, organizations are equipped with advanced technologies that enable them to make data-driven decisions, thanks to the remarkable advancements in data mining and machine learning. The digital age we live in is characterized by rapid technological development, paving the way for a more data-driven society. With the advent of Big Data and the […] The post Top 14 Data Mining Projects With Source Code appeared first on Analytics Vidhya.

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Top 5 Features your ITSM Solution Should Have

CIO Business Intelligence

Efficiently managing IT services is crucial for businesses of all sizes to remain competitive and meet user expectations. To guide technology leaders in making informed decisions about IT service management (ITSM) solutions, this article reveals the top five functionalities you need to deliver exceptional service to end-users. Throughout our time matching organizations with IT software that works for them , we have found some core essential features that appear necessary across most companies.

Risk 98
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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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Chinese Hack Microsoft Cloud, Goes Undetected for Over a Month

Analytics Vidhya

A recently uncovered major cybersecurity breach shows Chinese hackers took advantage of a vulnerability in Microsoft’s cloud email service to gain unauthorized access to the email accounts of U.S. government employees. The breach, which went undetected for over a month, has raised concerns about the security of sensitive government information and prompted investigations into the […] The post Chinese Hack Microsoft Cloud, Goes Undetected for Over a Month appeared first on Analytics V

Analytics 271
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Docker Tutorial for Data Scientists

KDnuggets

Interested in learning Docker for data science? Learn the basics of Docker and containerize data science apps in minutes.

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From Hive Tables to Iceberg Tables: Hassle-Free

Cloudera

Introduction For more than a decade now, the Hive table format has been a ubiquitous presence in the big data ecosystem, managing petabytes of data with remarkable efficiency and scale. But as the data volumes, data variety, and data usage grows, users face many challenges when using Hive tables because of its antiquated directory-based table format.

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Building a Complete Web Application in AWS Services

Analytics Vidhya

Introduction When we start learning AWS, we usually learn bits and pieces of it, like some of the core services; working around the AWS console, we could create a new ec2 instance or an s3 bucket and upload something to it. But in most cases, we couldn’t put all the services together into an actual application. We knew different […] The post Building a Complete Web Application in AWS Services appeared first on Analytics Vidhya.

Analytics 271
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A Practical Approach To Feature Engineering In Machine Learning

KDnuggets

This article discussed the importance of feature learning in machine learning and how it can be implemented in simple, practical steps.

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Unleashing Creativity: Exploring Generative AI Artistic Applications

Analytics Vidhya

Introduction Generative AI, a branch of artificial intelligence, has opened up new possibilities in artistic creations. Generative AI generates unique and captivating art by leveraging machine learning algorithms, revolutionizing the creative process. We will delve into the applications of GenAI in various artistic domains. Showcasing how it has transformed traditional approaches and unleashed unparalleled creativity. […] The post Unleashing Creativity: Exploring Generative AI Artistic App

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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Build and share a business capability model with Amazon QuickSight

AWS Big Data

The technology landscape has been evolving rapidly, with waves of change impacting IT from every angle. It is causing a ripple effect across IT organizations and shifting the way IT delivers applications and services. The change factors impacting IT organizations include: The shift from a traditional application model to a services-based application model (SaaS, PaaS) The shift from a traditional infrastructure and hardware costing model to cloud-based containers (private and public clouds) with

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How to Change Your Career from Marketing to Data Science?

Analytics Vidhya

Introduction With the exponential growth of data and the need for data-driven decision-making, the intersection of marketing and data science has become increasingly important. Many professionals are considering a career transition to data science. This article will guide you in successfully transitioning from marketing to data science. Assessing the Skills Gap As you consider transitioning […] The post How to Change Your Career from Marketing to Data Science?

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Unlock DataOps Success with DataOps.live – Featured in Gartner Market Guide!

KDnuggets

To learn more about the DataOps market, download your free copy of the Gartner Market Guide for DataOps Tools.

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Complete Introductory Guide to Speech to Text with Transformers

Analytics Vidhya

Introduction We all deal with audio data much more than we realize. The world is full of audio data and related problems that beg solving. And we can use Machine Learning to solve many of these problems. You are probably familiar with image, text, and tabular data being used to train Machine Learning models- and […] The post Complete Introductory Guide to Speech to Text with Transformers appeared first on Analytics Vidhya.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Research ML/AI

Decision Management Solutions

I introduced our overall approach to ML/AI and then discussed the role of Interface AI in operations. Research AI is perhaps the most common use case for ML and AI – and the one least likely to generate value. Research AI is all about the insight it generates. Generally, its research into an open ended question – something people don’t know such as “someone said X and we wondered if it was true” or “can you find any surprising patterns” or “we’ve never been able to tell these things apart befo

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AI Discriminates Against Non-Native English Speakers

Analytics Vidhya

A recent study has uncovered a disconcerting truth about artificial intelligence (AI): its algorithms used to detect essays, job applications, and other forms of work can inadvertently discriminate against non-native English speakers. The implications of this bias are far-reaching, affecting students, academics, and job applicants alike. The study, led by James Zou, an assistant professor […] The post AI Discriminates Against Non-Native English Speakers appeared first on Analytics Vidhya.

Analytics 269
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AI machine customers could kill your dark pattern business model

Mark Raskino

“AI will end dark patterns” tweeted Joshua Browder earlier this year. Joshua is an entrepreneur behind a fascinating site called ‘DO NOT PAY’ that makes its money helping consumers win everyday battles with large companies and government agencies. Wikipedia explains that a dark pattern is “a user interface that has been carefully crafted to trick users into doing things, such as buying overpriced insurance with their purchase or signing up for recurring bills”

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Top 10 AI Tools for Data Analysis

Analytics Vidhya

Introduction As business data is growing more complicated with each passing day, advanced methods for understanding it are required. Traditional data analysis methods relied heavily on manual processes and limited computational capabilities. However, a new era has dawned with the emergence of AI tools. These advanced tools harness the power of machine learning and deep […] The post Top 10 AI Tools for Data Analysis appeared first on Analytics Vidhya.

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How to Leverage AI for Actionable Insights in BI, Data, and Analytics

In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities? Imagine having an AI tool that answers your user’s questions with a deep understanding of the context in their business and applications, nuances of their industry, and unique challenges they face.

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Lost in Translation: Breaking the Barrier of Miscommunication With Prompt Engineering

Dataiku

If there's one thing Generative AI has taught us, it's that people aren't always great at articulating what they want or even knowing what they want. Think back to your first interactions with ChatGPT, Stable Diffusion, Bard, or any other prompt-driven Generative AI application. Like me, you probably underestimated their capabilities, posing a relatively simple question or request with phrasing similar to a Google search.

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Web 4.0? Let’s Figure Out Web 3.0 first!

Martha Bennett

Question: What do you get when you smash together aspirational Web3 papers produced by venture capital firms and over-the-top metaverse publications by large consulting companies? Answer: The European Commission’s (EC) strategy on Web 4.0 and virtual worlds, published on July 11, 2023.

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Delivering Low-latency Analytics Products for Business Success

Rocket-Powered Data Science

I recently saw an informal online survey that asked users what types of data (tabular; text; images; or “other”) are being used in their organization’s analytics applications. This was not a scientific or statistically robust survey, so the results are not necessarily reliable, but they are interesting and provocative. The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data.

Analytics 165
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What is change management? A guide to organizational transformation

CIO Business Intelligence

What is the main purpose of change management? In modern IT, change management has many different guises. Project managers view change management as the process used to obtain approval for changes to the scope, timeline, or budget of a project. Infrastructure professionals consider change management to be the process for approving, testing, and installing a new piece of equipment, a cloud instance, or a new release of an application.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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The Data Space-Time Continuum for Analytics Innovation and Business Growth

Rocket-Powered Data Science

We discussed in another article the key role of enterprise data infrastructure in enabling a culture of data democratization, data analytics at the speed of business questions, analytics innovation, and business value creation from those innovative data analytics solutions. Now, we drill down into some of the special characteristics of data and enterprise data infrastructure that ignite analytics innovation.

Analytics 186
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How Avnet accelerates its product design process

CIO Business Intelligence

As a 2023 CIO100 winner , Avnet Inc., the Arizona-based electronic component distributor, has distinguished itself with groundbreaking projects that leverage established and emerging tech to up productivity and efficiency, and to generally do things differently. Avnet’s Design Hub is one example. According to Max Chan, the company’s CIO, the supply chain and supply chain management has come into stark focus in recent years.

IT 94
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Black Hat USA 2023: The Ultimate Survival Guide

Laminar Security

Can you believe it? Black Hat USA is back for its 26th year, bringing together hackers, security researchers, and cybersecurity enthusiasts under the neon glow of the Vegas lights with a mischievous twinkle in their eyes. This crew gathers each year to attend a conference like no other, as it is THE spot for hackers, security researchers and industry experts to come together to network and learn new ways of staying ahead of threats in today’s ever-evolving threat landscape.

Risk 65
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How Amazon Finance Automation built a data mesh to support distributed data ownership and centralize governance

AWS Big Data

Amazon Finance Automation (FinAuto) is the tech organization of Amazon Finance Operations (FinOps). Its mission is to enable FinOps to support the growth and expansion of Amazon businesses. It works as a force multiplier through automation and self-service, while providing accurate and on-time payments and collections. FinAuto has a unique position to look across FinOps and provide solutions that help satisfy multiple use cases with accurate, consistent, and governed delivery of data and related

Finance 79
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Embedded Analytics Insights for 2024

Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format. To better understand the factors behind the decision to build or buy analytics, insightsoftware partnered with Hanover Research to survey IT, software development, and analytics professionals on why they make the embedded analytics choices they do.