May, 2021

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Artificial Intelligence Vs Machine Learning Vs Deep Learning: What exactly is the difference ?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Artificial Intelligence, Machine Learning and, Deep Learning are the buzzwords of. The post Artificial Intelligence Vs Machine Learning Vs Deep Learning: What exactly is the difference ? appeared first on Analytics Vidhya.

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Why Your Data Lake Needs Bad Data

David Menninger's Analyst Perspectives

Everyone talks about data quality, as they should. Our research shows that improving the quality of information is the top benefit of data preparation activities. Data quality efforts are focused on clean data. Yes, clean data is important. but so is bad data. To be more accurate, the original data as recorded by an organization’s various devices and systems is important.

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AI Powered Misinformation and Manipulation at Scale #GPT-3

O'Reilly on Data

OpenAI’s text generating system GPT-3 has captured mainstream attention. GPT-3 is essentially an auto-complete bot whose underlying Machine Learning (ML) model has been trained on vast quantities of text available on the Internet. The output produced from this autocomplete bot can be used to manipulate people on social media and spew political propaganda, argue about the meaning of life (or lack thereof) , disagree with the notion of what differentiates a hot-dog from a sandwich , take upon the

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What’s the Secret Recipe for DataOps?

DataKitchen

Catalog & Cocktails podcast hosts Tim Gasper & Juan Sequeda of data.world interview DataKitchen CEO Chris Bergh on how to create the right DataOps culture & measuring the value of your DataOps strategy. The post What’s the Secret Recipe for DataOps? first appeared on DataKitchen.

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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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The Changing Database Landscape

TDAN

When you’ve been involved in data management for as long as I have, things are definitely bound to change. And things have changed, quite a lot, in fact. Back when I started in IT, IMS was the primary database system used at most big enterprises and most of the computing was done on mainframe systems. […].

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Spark on Kubernetes – Gang Scheduling with YuniKorn

Cloudera

Apache YuniKorn (Incubating) has just released 0.10.0 ( release announcement ). As part of this release, a new feature called Gang Scheduling has become available. By leveraging the Gang Scheduling feature, Spark jobs scheduling on Kubernetes becomes more efficient. What is Apache YuniKorn (Incubating)? Apache YuniKorn (Incubating) is a new Apache incubator project that offers rich scheduling capabilities on Kubernetes.

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The Art of Data Storytelling

Juice Analytics

Data Storytelling is a powerful way to present data in ways that influence your audience. It is a skill that combines elements of artistic expression and structured methods. In this article, we will start by learning from the mindset of a leading storytelling organization, Pixar. Then we will discuss how to structure data stories to guide your audience through data.

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Crucial Benefits of Collecting and Analyzing Data for Modern Businesses

Smart Data Collective

The market for big data is expected to be worth $274 billion by next year. This is hardly surprising, since so many businesses depend on data analytics to draw useful insights on every aspect of their business model. Analytics is one of the most powerful tools that modern businesses possess. Any business that is ready to embrace data analytics will have access to a wealth of information on their industry, customer base, competitors and more.

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Data Minimization as Design Guideline for New Data Architectures

Data Virtualization

IT excels in copying data. It is well known organizations are storing data in volumes that continue to grow. However, most of this data is not new or original, much of it is copied data. For example, data about a. The post Data Minimization as Design Guideline for New Data Architectures appeared first on Data Virtualization blog.

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Data Professionals Prefer A Hybrid Approach to Tools and Technologies

Business Over Broadway

I recently reached out to data professionals on LinkedIn to ask a series of questions about their work. Results from one of those polls revealed that 58% of data pros reported that they prefer a hybrid approach (on premises and cloud) for their tools and technologies. About a third of respondents preferred the cloud. Only 6% of respondents preferred on premises.

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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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The Ethics of AI Comes Down to Conscious Decisions

Cloudera

This blog post was written by Pedro Pereira as a guest author for Cloudera. . Right now, someone somewhere is writing the next fake news story or editing a deepfake video. An authoritarian regime is manipulating an artificial intelligence (AI) system to spy on technology users. No matter how good the intentions behind the development of a technology, someone is bound to corrupt and manipulate it.

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How to Fetch Data using API and SQL databases!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Getting complete and high-performance data is not always the case. The post How to Fetch Data using API and SQL databases! appeared first on Analytics Vidhya.

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Embedded Analytics: The Build vs Buy Debate is Pointless

Sisense

Blog. You’ve decided you want to put data and analytics into your product, service, or experience. Good decision! This kind of functionality isn’t just a “nice to have” anymore; users of all kinds demand it, and customer-facing analytics are revolutionizing businesses in every industry. In a 2020 survey by the IDC (commissioned by Sisense), 40% of respondents said their product team was planning to use analytics in 2021 — up from 27% in 2020.

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Advantages of Using Microsoft Azure for Data Preservation and Security

Smart Data Collective

Data security and data collection are both much more important than ever. Every organization needs to invest in the right big data tools to make sure that they collect the right data and protect it from cybercriminals. One tool that many data-driven organizations have started using is Microsoft Azure. It has not gained as much acceptance yet as it likely will in the near future, despite its benefits.

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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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Data Governance is a Crucial Part of Your Business Strategy

TDAN

Since July 2018, over €274M in fines have been enforced by the EU General Data Protection Regulation. The lion’s share of these (more than €228M) are for “insufficient legal basis for data processing” and “insufficient technical and organizational measures to ensure information security,” which implies that the majority of offending organizations lack critical policy and infrastructure components to make […].

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PODCAST: Exploring Data, Digital and Artificial Intelligence through a Holistic Lens

bridgei2i

PODCAST: Exploring Data, Digital and Artificial Intelligence through a Holistic Lens. Listening time: 45 minutes. Exploring Data, Digital and Artificial Intelligence through a Holistic Lens. In the latest episode of ‘The Data Strategy Show’, host Samir Sharma engages Prithvijit(Jit) Roy and Pritam K Paul, Co-Founders of BRIDGEi2i, in a riveting discussion.

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Automating CDP Private Cloud Installations with Ansible

Cloudera

The introduction of CDP Public Cloud has dramatically reduced the time in which you can be up and running with Cloudera’s latest technologies, be it with containerised Data Warehouse , Machine Learning , Operational Database or Data Engineering experiences or the multi-purpose VM-based Data Hub style of deployment. In CDP Private Cloud, the introduction of Cloudera Data Warehouse and Cloudera Machine Learning Experiences on RedHat OpenShift Kubernetes clusters means that we can deploy new

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Machine Learning Automation using EvalML Library

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Machine Learning is one of the fastest-growing technology in the. The post Machine Learning Automation using EvalML Library appeared first on Analytics Vidhya.

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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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Epidemiologist Michal Mina Says Lack of Cheap, At-Home Testing Is Making COVID-19 Worse

DataRobot

For more than a year, the world has been grappling with the COVID-19 pandemic—easily the worst public-health crisis since the 1918 flu pandemic. More than half a million Americans have died from the novel coronavirus, and as of this writing India is seeing more than 300,000 new cases each day. With that alarming background, this seemed like an extremely appropriate time to talk with Michael Mina, an Assistant Professor of Epidemiology at Harvard T.

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Photography Trends Utilizing Data To Keep Your Social Content Fresh

Smart Data Collective

Big data and artificial intelligence have become incredibly useful in the field of photography. Photographers need to know how to leverage big data effectively. A number of new trends have emerged that involve the use of data. They can be useful for social media marketers that need fresh visual content. Big Data Becomes Integral for Social Media Marketers Relying on Photography.

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Data Science Can Help Business Growth During COVID-19

TDAN

COVID-19 has made companies large and small pivot their businesses. They might change the variety of products, freeze hiring, or let employees go to stay afloat. There is a way to avoid some of these undesirable situations with the use of big data. Companies need to tighten their purse strings as the future of the […].

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Top 5 Report Maker Software & Reporting Software

FineReport

How to Make Reports Outstanding? In the era of data driving the decision, the importance of reporting and analytics is increasingly recognized by organizations. Two things can help you be a great report maker. The first is clear design thinking, and the second is efficient report writing software. Here I list 5 top report maker software. Some are Saas Reporting software and some are on-promise software, and most of them provide a free version for trial or for personal use.

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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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5 Factors to Consider When Choosing a Stream Processing Engine

Cloudera

Are you using the right stream processing engine for the job at hand? You might think you are—and you very well might be!—but have you really examined the stream processing engines out there in a side-by-side comparison to make sure? Our Choose the Right Stream Processing Engine for Your Data Needs whitepaper makes those comparisons for you, so you can quickly and confidently determine which engine best meets your key business requirements.

Risk 101
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SMS Spam Detection Using LSTM – A Hands On Guide!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In today’s world, almost everyone is using a mobile. The post SMS Spam Detection Using LSTM – A Hands On Guide! appeared first on Analytics Vidhya.

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Why Business Leaders Need to Be Analytics Evangelists

Sisense

Blog. Data and analytics are proving more important to companies’ strategies than ever before, according to a survey by Harvard Business Review Analytic Services. However, many organizations still fall short of achieving their analytics goals, owing to a skills gap and issues with data access and usage. That’s because almost 75% of organizations don’t have a leadership that completely backs a data-driven culture or nurtures and supports analytics-led innovation.

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Make These Three AI Marketing Mistakes at Your Peril

Smart Data Collective

Artificial intelligence is dramatically altering the future of business as we know it. A growing number of companies are finding that AI is helping them reach more customers through more targeted advertisements and data-driven customer engagement strategies. How much are companies investing in AI marketing strategies? One study found that 51% of major ecommerce companies are investing in AI to automate their marketing channels.

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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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Is Data an Asset in Real Estate?

TDAN

How is the multi-billion real estate sector doing in a data-driven world? The industry sits on loads of data gathered about property, their use and its inhabitants. However, its players can’t benefit from this wealth of information due to slow digitization — internal data is frequently enclosed in silos, and access to external data sources […].

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Dashboard Design and “The Big Picture” in Dataviz: A Conversation with Steve Wexler

Depict Data Studio

I recently had the chance to talk with Steve Wexler, founder of Data Revelations, author of The Big Picture: How to Use Data Visualization to Make Better Decisions- Faster and co-author of The Big Book of Dashboards: Visualizing Your Data Using Real-World Business Scenarios. Steve joined as a special guest for the Dashboard Design Full Course where participants get hands-on training and access to special guest speakers in real time. .

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DataRobot Flies Higher with Zepl Acquisition, Adding Cloud Native Notebook Solution to AI Platform

DataRobot

At DataRobot, we believe in 10x-ing our efforts: returns for our customers, professional development of our team, and our platform. Today’s acquisition of Zepl does exactly that. It 10x’s our world-class AI platform by dramatically increasing the flexibility of DataRobot for data scientists who love to code and share their expertise across teams of all skill levels.

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Machine Learning with Python: Logistic Regression

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. What Is Logistic Regression? This article assumes that you possess. The post Machine Learning with Python: Logistic Regression appeared first on Analytics Vidhya.

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Addressing Top Enterprise Challenges in Generative AI with DataRobot

The buzz around generative AI shows no sign of abating in the foreseeable future. Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments. Ultimately, the market will demand an extensive ecosystem, and tools will need to streamline data and model utilization and management across multiple environments.