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.

Big Data 143
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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.

Modeling 364
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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.

Reporting 198
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State of AI in Sales & Marketing 2025

AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.

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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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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.

More Trending

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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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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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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.

Reporting 195
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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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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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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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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.

Analytics 400
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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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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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Zero Trust Mandate: The Realities, Requirements and Roadmap

The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.

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Gartner – Top Trends in Data and Analytics for 2021: XOps

DataKitchen

Gartner identified XOps (DataOps, ModelOps, DevOps) as one of the top trends in data and analytics for 2021. Below we provide additional suggestions for further reading based on Gartner’s recommendations. What is XOps? . Gartner: “The multiplication of Ops disciplines stemming out of DevOps best practices has caused significant confusion in the marketplace.

Analytics 130
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Edge Detection: Extracting The Edges From An Image

Analytics Vidhya

ArticleVideo Book Objective Understand what is edge detection and how it can be helpful in image classification. Learn how kernels are used to identify. The post Edge Detection: Extracting The Edges From An Image appeared first on Analytics Vidhya.

Analytics 395
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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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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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Revolutionize QA: GAPs AI-Driven Accelerators for Smarter, Faster Testing

GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.

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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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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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Top Three Requirements for Data Flows

Cloudera

Data flows are an integral part of every modern enterprise. No matter whether they move data from one operational system to another to power a business process or fuel central data warehouses with the latest data for near-real-time reporting, life without them would be full of manual, tedious and error-prone data modification and copying tasks. At Cloudera, we’re helping our customers implement data flows on-premises and in the public cloud using Apache NiFi , a core component of Cloudera DataFl

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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.

Big Data 136
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The GTM Intelligence Era: ZoomInfo 2025 Customer Impact Report

ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!

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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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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.

Analytics 376
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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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What Can Be The Use Of Analytics In The Music Industry?

Smart Data Collective

Analytics is playing an increasingly important role in the future of the music industry. A growing number of music companies are discovering new applications for analytics tools, which can streamline many important aspects of their industry. However, it is still a little unpredictable exactly what changes analytics will bring to the music industry. Companies are going to have to brainstorm new opportunities and solutions in the coming months.

Analytics 129
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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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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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Who Will Be The Useless Species of 2050? Human Intelligence v/s Artificial Intelligence

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Overview In this article, You will travel with me through. The post Who Will Be The Useless Species of 2050? Human Intelligence v/s Artificial Intelligence 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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Top 5 Cloud Storage Solutions for Businesses in 2021

Smart Data Collective

Functional features of the most popular cloud storages. Are you ready to discover the best cloud service for small business that are going to make a significant breakthrough in 2021? A number of prominent companies have moved to the cloud and discovered its benefits. You can keep reading to find the top cloud storage solutions you cannot miss. Table of contents: What is cloud storage?

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?