Sat.Apr 09, 2022 - Fri.Apr 15, 2022

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Is Quantum Computing the Future of Artificial Intelligence?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Forbes.com Introduction It is not hidden from the audience that quantum computing is the future of data processing. Tech giants like IBM, Google, and Microsoft are all aggressively pursuing quantum computing technology for a good reason. The massive speedups and power savings of quantum […].

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10 Big Data Examples Showing The Great Value of Smart Analytics In Real Life At Restaurants, Bars, and Casinos

datapine

“You can have data without information, but you cannot have information without data.” – Daniel Keys Moran. When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. After all, these are some pretty massive industries with many examples of big data analytics, and the rise of business intelligence software is answering what data management needs.

Big Data 244
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5 Different Ways to Load Data in Python

KDnuggets

Data is the bread and butter of a Data Scientist, so knowing many approaches to loading data for analysis is crucial. Here, five Python techniques to bring in your data are reviewed with code examples for you to follow.

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3 Ways AIOps Drives Digital Transformation

CIO Business Intelligence

Slowdowns caused by system disruption and complexities in your IT environment are more than an operational headache. They can have a direct impact on the bottom line. While it’s enormously important to make IT systems more efficient and give time back to the organization, it’s just as important to recognize the value of that time and understand the best ways to allocate it between workers, apps, and infrastructure.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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Building a Car Price Predictor Using Spark in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will build a machine learning pipeline that is a Car Price Predictor using Spark in Python. We have already learned the basics of Pyspark in the last article. If you haven’t checked it yet, here is the link. […]. The post Building a Car Price Predictor Using Spark in Python appeared first on Analytics Vidhya.

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Why Machine Learning Can Lead to the Perfect Web Design

Smart Data Collective

Machine learning technology is becoming a more important aspect of modern marketing. One of the biggest reasons for this is that digital marketing is playing a huge role in marketing strategies for most companies. Companies are expected to spend $460 billion on digital marketing this year. Machine learning technology is a very important element of digital marketing.

More Trending

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Smart Cities Increase Efficiency, Safety and Sustainability

CIO Business Intelligence

More cities than ever before are investing in smart city technology and changing how cities operate. There are many benefits that come along with making a city “smart.” It gives the city more information and data to help drive decision making leading to tremendous benefits that positively influence the lives of everyone who lives, works, and visits, such as: .

IoT 145
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Using Computer Vision to Convert Images in Watercolor Art

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be working on the application which will be capable enough to change the image to its watercolor art form, that we will be using just computer vision operations i.e. none of the machine learning techniques will be involved […]. The post Using Computer Vision to Convert Images in Watercolor Art appeared first on Analytics Vidhya.

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Becoming an AI-first Organization

Cloudera

The term “AI-first” has received its share of attention lately, especially in the boardroom where strategies to gain a competitive advantage are always welcome. But before a company embarks on an AI-first strategy, it pays to understand what it is and how it will transform the organization. If you’re AI-first, that means you have figured out how to leverage artificial intelligence to boost organizational agility so you can continuously adapt operational processes to deliver the right business ou

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Answering Questions with HuggingFace Pipelines and Streamlit

KDnuggets

See how easy it can be to build a simple web app for question answering from text using Streamlit and HuggingFace pipelines.

IT 146
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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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Oracle’s ME employee experience suite targets workforce challenges

CIO Business Intelligence

In response to the pandemic and the resultant Great Resignation , Oracle has launched a new employee experience platform, dubbed Oracle ME, under its Fusion Cloud Human Capital Management (HCM) suite to help enterprises with workforce challenges such as attrition. “Bad employee experience has been one of the major disruptors in the HCM space. With largely distributed workforces and many contributing remotely, employees are often dissatisfied with their experience across most enterprises leading

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Beginners Tutorial for Regular Expression in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Like every other person, I’ve faced quite some difficulties in using a regular expressions, and I am sure still there is a lot to learn. But, I’ve reached a point where I can use them in my day-to-day work. In my process […]. The post Beginners Tutorial for Regular Expression in Python appeared first on Analytics Vidhya.

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Geospatial Analytics Made Simple With Dataiku: Distributional Modeling of a Bird Species

Dataiku

You may have read, heard, or experienced first hand the value of geospatial data for a variety of business and daily life applications. You might be also aware that this field of analytics is gaining more and more traction and can get quite complex and challenging in terms of talent and resources.

Analytics 105
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The Complete Collection Of Data Repositories – Part 2

KDnuggets

Check out the collection of the best data repositories on healthcare, natural language, neuroscience, physics, social network, sports, time series, transportation, miscellaneous, and super data repositories.

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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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Data as a service: Top vendors offering data on tap

CIO Business Intelligence

With data-driven decisions and digital services at the center of most businesses these days, enterprises can never get enough data to fuel their operations. But not every bit of data that could benefit a business can be readily produced, cleansed, and analyzed by internal means. Enter data-as-a-service providers: Entities that offer data on tap for a fee for your enterprise to use.

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End-to-End Beginners Guide on Spark SQL in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we are going to cover Spark SQL in Python. In the last article, we have already introduced Spark and its work and its role in Big data. If you haven’t checked it yet, please go to this link. Spark is […]. The post End-to-End Beginners Guide on Spark SQL in Python appeared first on Analytics Vidhya.

Big Data 331
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Stop Trying to be a Digital Bank

Teradata

Digitization is necessary, but not sufficient to meet evolving customer demands & create the bank of the future. Use data analytics to help customers achieve their goals not deliver better apps.

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How to Write Engaging Technical Blogs

KDnuggets

Learn the rules for writing technical blogs, and increase unique views tenfold. Focusing on title, images, vocabulary, code blocks, writing style, and social media promotion can help you build a solid brand.

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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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15 most misused buzzwords in IT

CIO Business Intelligence

Every profession has its own collection of abbreviations, acronyms, catchphrases, and jargon that serve as shorthand for their techniques and tools. IT is no different. Yet, unlike other disciplines, the language of IT tends to spill out across the enterprise and society itself. There are ads praising cloud computing and data-driven decision-making.

IT 133
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All About Popular Graph Network Tools in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will discover Graph Network Tools and Packages in python that are currently dominating in the data science industry. The world is all about relations. Every entity we see around us is related to each other somehow. Modelling these […]. The post All About Popular Graph Network Tools in Python appeared first on Analytics Vidhya.

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AI Impact Statements – Empathy, Imperfection, and Responsibility

DataRobot Blog

If you follow the media stories about AI , you will see two schools of thought. One school is utopian, proclaiming the amazing power of AI, from predicting quantum electron paths to driving a race car like a champion. The other school is dystopian, scaring us with crisis-ridden stories that range from how AI could bring about the end of privacy to self-driving cars that almost immediately crash.

Risk 98
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Top 5 Reasons Why You Should Avoid a Data Science Career

KDnuggets

The intent of this article is to give you a reality check of what are the personality traits of a typical data scientist before you dip your feet in the ocean of the big shiny world of data science.

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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.

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The top 10 IT outsourcing service providers

CIO Business Intelligence

Everest Group’s annual ranking of the top IT service providers saw some movement this year compared to last, but one thing that remained unchanged was Accenture’s place at the top of the list. In fact, it was the sixth year in a row that the $50.5 billion firm was recognized as the overall leading service provider of the year. “Knocking Accenture down a peg or two is easily the biggest challenge for other players in the industry,” says Abhishek Singh, partner with Everest Group.

IT 132
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Learn About Apache Spark Using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In the last article, we discussed Apache Spark and the big data ecosystem, and we discussed the role of apache spark in data processing in big data. If you haven’t read it yet, you can find it on this page. This article […]. The post Learn About Apache Spark Using Python appeared first on Analytics Vidhya.

Big Data 322
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Characterizing Organizational Complexity as a Competitive Advantage

CDW Research Hub

Any organizational leader will likely tell you that they deal with many complexities in their organization. But what specifically is meant by “organizational complexity”? What is organizational complexity? Complexity is defined as something with many parts or elements that interact with each other in ways that can be difficult or impossible to predict.

Testing 91
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Python Libraries Data Scientists Should Know in 2022

KDnuggets

Let's have a look at the Python libraries that every data scientist should know in 2022, to maintain and improve their coding journey.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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9 outsourcing myths debunked

CIO Business Intelligence

The global IT services industry has emerged from two-plus years of a global pandemic to establish itself as even more vital to the success of enterprise IT organizations. As corporate IT looks to manage unrelenting demand for technology-enabled change in a challenging talent environment, outsourcing partnerships have proved pivotal. . “Companies are finding it exceedingly hard to find skilled talent especially in the US and Europe, and consequently outsourcing (and offshoring) are becoming impor

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Top Certifications in Cloud Computing in 2022

Analytics Vidhya

Introduction Cloud computing is the name of the game in Web 2.0 and will continue to extend to Web 3.0. Many businesses, from small mom-and-pop corner stores to large multinationals and government agencies. With the shifting to online and virtual business models, cloud computing has helped enhance corporate workflow and reduce office infrastructure costs.

Modeling 312
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#Clouderalife Volunteer Spotlight: Dániel Omaisz-Takács

Cloudera

April 11 is “Inter” National Pet Day, a day dedicated to celebrating the pets and animals in our lives and communities. . While Pet Day is the perfect moment to show some extra love to the pets in our lives – Cloudera wants to take this opportunity to also recognize a Cloudera volunteer who goes above and beyond to care for the welfare and health of animals outside of his family – Dániel Omaisz-Takács.

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Data Visualization in Python with Seaborn

KDnuggets

Learn to create beautiful charts in Python using the Seaborn library.

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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role. We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond.