Sat.Mar 06, 2021 - Fri.Mar 12, 2021

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Customer Loyalty Program with Python

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. “Understand your customer better, with data !!” Introduction Did you. The post Customer Loyalty Program with Python appeared first on Analytics Vidhya.

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Fleet Management and Big Data: Points to Consider

Smart Data Collective

According to a forecast by IDC and Seagate Technology, the global data sphere will grow more than fivefold in the next seven years. The total amount of new data will increase to 175 zettabytes by 2025 , up from 33 zettabytes in 2018. This ever-growing volume of information has given rise to the concept of big data. And I do not mean large amounts of information per se, but rather data that is processed at high speed and has a strong variability.

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The Next Generation of AI

O'Reilly on Data

Programs like AlphaZero and GPT-3 are massive accomplishments: they represent years of sustained work solving a difficult problem. But these problems are squarely within the domain of traditional AI. Playing Chess and Go or building ever-better language models have been AI projects for decades. The following projects have a different flavor: In February, PLOS Genetics published an article by researchers who are using GANs (Generative Adversarial Networks) to create artificial human genomes.

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Trends in Establishing a Data-Driven Enterprise

Corinium

Organizations aiming to become data-driven need to overcome several challenges, like that of dealing with distributed data or hybrid operating environments. They need a modern data architecture that can provision trusted data and bring together data and insights from multiple analytical data stores to make it easy for information consumers to access, consume, use and act on it to drive value.

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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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Language Detection Using Natural Language Processing

Analytics Vidhya

ArticleVideo Book Introduction Every Machine Learning enthusiast has a dream of building/working on a cool project, isn’t it? Mere understandings of the theory aren’t. The post Language Detection Using Natural Language Processing appeared first on Analytics Vidhya.

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How To Improve Your Facility Management With Healthcare Reports

datapine

Healthcare is one of the world’s most essential sectors. As a result of increasing demand in certain branches of healthcare, driving down unnecessary expenditure while enhancing overall productivity is vital. Healthcare institutions need to run on maximum efficiency across the board—in some cases, it’s literally a matter of life or death. Despite this ominous message, we are living in the midst of a digital age.

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Zendesk CX Trends Report 2021

Corinium

New customer expectations, spiking support requests, and working apart—yep, that was 2020. We’ve gathered data from 90,000 companies and fused it with findings from global surveys of customers, agents, and business leaders alike to create this year's Zendesk Customer Experience Trends report. In this interactive report, we look at the top trends in customer engagement and identify the actionable best practices for any company - including yours.

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Introduction to Batch Normalization

Analytics Vidhya

ArticleVideo Book Objective Learn how to improve the neural network with the process of Batch Normalization. Understand the advantages batch normalization offers. Introduction. The post Introduction to Batch Normalization appeared first on Analytics Vidhya.

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Humans and AI: Should We Describe AI as Autonomous?

DataRobot

Beware the hype about AI systems. Although AI is powerful and generates trillions of dollars of economic value across the world, what you see in science fiction movies remains pure fiction. In this blog post, I will focus on the use of the word autonomous , the dangers of using it with stakeholders, and, in the context of customer experience, the inaccurate perception that all things can be automated, eliminating the need for interactions between employees and customers.

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Choosing the right Machine Learning Framework

Domino Data Lab

Machine learning (ML) frameworks are interfaces that allow data scientists and developers to build and deploy machine learning models faster and easier. Machine learning is used in almost every industry, notably finance , insurance , healthcare , and marketing. Using these tools, businesses can scale their machine learning efforts while maintaining an efficient ML lifecycle.

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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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Gender Inequality Persists in Data Science and AI

Business Over Broadway

Results of a survey of data professionals show that about 1 out of 5 are women. Women are paid less than their male counterparts yet both women and men have similar levels of education. Ways of improving gender diversity in the field of data science are offered. Figure 1. US Labor Force Statistics for Selected Occupations. Even though women make up about half of the total workforce in the US, those numbers hide the disparities in some occupational domains.

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Understanding Data Science from a Beginner’s Lens

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction You think data science is just a buzz word. The post Understanding Data Science from a Beginner’s Lens appeared first on Analytics Vidhya.

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Push-Down Query Capabilities: Five Questions To Ask Your Cloud BI Provider

Boris Evelson

Software-as-a-service (SaaS) offers many benefits, including but not limited to elasticity: the ability to shrink and grow storage and compute resources on demand. Clients of most leading enterprise business intelligence (BI) platforms enjoy this cloud elasticity benefit but at a cost. Ultimately, elasticity requires both application and data components (compute and store) to be elastic, […].

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Completing Data Science Tasks in Seconds, Not Minutes

Smart Data Collective

The mitochondria is the powerhouse of the cell. It’s responsible for creating the energy your cells power your body with. Or something. Biology was a long time ago. Mito is the powerhouse of your data analytics workflow. We built Mito to be the first analytics tool that’s easy to use, super powerful, and designed to keep your workflow yours forever.

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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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6 security risks in software development and how to address them

DataKitchen

The post 6 security risks in software development and how to address them first appeared on DataKitchen.

Risk 130
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Step by Step process of Feature Engineering for Machine Learning Algorithms in Data Science

Analytics Vidhya

ArticleVideo Book Introduction Data Science is not a field where theoretical understanding helps you to start a carrier. It totally depends on the projects. The post Step by Step process of Feature Engineering for Machine Learning Algorithms in Data Science appeared first on Analytics Vidhya.

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A Guide to Building Better Data Products

Juice Analytics

At Juice, we’ve helped our clients launch dozens of data products that generate new revenue streams, differentiate their solutions in the market and build stronger customer relationships. Along the way, we’ve learned a lot about what works and doesn’t. In this series I’ll take you through what you need to know to design, build, launch, sell and support a data product.

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How AI-Driven Cybersecurity Drastically Impacts Our Lives

Smart Data Collective

Artificial intelligence is a form of technology that is drastically changing our lives. We have talked extensively about the benefits of using AI for marketing, gaming, financial analysis and many other applications. One of the most impactful ways that AI impacts our lives is by improving our cybersecurity technology. Sridhar Muppidi, CTO of IBM Security, created a very insightful video about the benefits of AI in the field of cybersecurity.

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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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Should You Build or Buy a DataOps Solution?

DataKitchen

The post Should You Build or Buy a DataOps Solution? first appeared on DataKitchen.

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A Hands-On Introduction to Hugging Face’s AutoNLP 101

Analytics Vidhya

ArticleVideo Book Hugging Face, founded in 2016, has revolutionized the way people approach Natural Language Processing in this day and age. Based in New. The post A Hands-On Introduction to Hugging Face’s AutoNLP 101 appeared first on Analytics Vidhya.

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Why Your Data Presentation Solution Needs to Be Fast

Juice Analytics

We created Juicebox to serve the citizen data analyst. We empathize with the every-person who is deep in Excel spreadsheets and presentations; data is part of their job--but not the only part. We want to give these people the chance to create beautiful data visualizations, presented alongside their messages and insights. These information workers shouldn't have to be trained on a complex analytics tool or require the skill set of a data scientist, designer, or developer.

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10 Ways for SMEs To Strengthen Cybersecurity with Big Data

Smart Data Collective

Cybersecurity has become a pressing concern for modern tech companies. These attacks aim at companies indiscriminately, no matter what the size is. The smaller ones are more susceptible to these kinds of threats. The good news is that big data has become a very effective technology to help bolster cybersecurity. There are a lot of ways companies are using new advances in machine learning and other data technologies to mitigate the risks of cyberattacks.

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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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Enterprise Data Operating Systems in the Cloud: Necessary, But Not Sufficient

Teradata

Getting your Cloud data architecture right starts with understanding which data products you need, the roles they perform, & the functional & non-functional characteristics that those roles demand.

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A Super Quick Introduction to Machine Learning

Analytics Vidhya

ArticleVideo Book Introduction. As we enter future times, man is trying his best to uncover all the secrets of technology. Looking back at a. The post A Super Quick Introduction to Machine Learning appeared first on Analytics Vidhya.

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Confinements and Curfews, What's the Impact on Mall Attendance? A Case Study

Dataiku

The retail industry navigated more than just turbulence in 2020 — some organizations faced drastic governmental restrictions on store openings, while others suffered from consumer absence due to fear of contagion. Recovery could be on the horizon for most retailers, but patience will be required until the health crisis is behind us.

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10 Powerful Ways To Use Artificial Intelligence In eCommerce

Smart Data Collective

The term “artificial intelligence” has certainly become a buzzword that’s thrown around a lot. But behind all of the hype and pop culture references is a technological marvel with some extremely powerful capabilities, especially for B2C businesses. In essence, artificial intelligence is a field of computer science that teaches computers how to interpret data and derive answers from it.

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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 governance beyond SDX: Adding third party assets to Apache Atlas

Cloudera

Governance and the sustainable handling of data is a critical success factor in virtually all organizations. While Cloudera Data Platform (CDP) already supports the entire data lifecycle from ‘Edge to AI’, we at Cloudera are fully aware that enterprises have more systems outside of CDP. It is crucial to avoid that CDP becomes the next silo in your IT landscape.

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Zooming Out – A Look at Outlier and How to Deal with them in Data Science

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Before we get started the discussion on Outliers, we should. The post Zooming Out – A Look at Outlier and How to Deal with them in Data Science appeared first on Analytics Vidhya.

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Deploying Machine Learning Models for Edge Computing on Drones

Dataiku

Dataiku and UAVIA are working together to push the boundaries of unmanned autonomous vehicles further towards ubiquitous AI and real-time aerial inspections.

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GRAMMY Predictions 2021: Tuning in to the Song and Record of the Year

DataRobot

This blog is meant to be a fun take on predicting Song and Record of the Year for the 63rd Annual GRAMMY Awards. Events in the entertainment industry look a little different this year, with the GRAMMY’s being a prime example. After a postponement due to rising COVID-19 numbers in the Los Angeles area, Sunday, March 14th will mark the 63rd GRAMMY awards.

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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.