March, 2021

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7 Proven Steps to Impress the Recruiter with Your Machine Learning Projects

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction After arming yourself up with all the relevant industry. The post 7 Proven Steps to Impress the Recruiter with Your Machine Learning Projects appeared first on Analytics Vidhya.

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The End of the One-Page Analytics Dashboard

Juice Analytics

Any viewer with a passing interest will (or should) want to know more, drill deeper, and ask “why?”. The one-page dashboard was once the predominant form of visualizing data. It was the standard and the expectation. With touch screens, mobile devices, on-demand data, and interfaces crafted for interaction and user experience, the one-page dashboard is a relic.

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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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Microsoft Azure: Cloud Computing for Data and Analytics

David Menninger's Analyst Perspectives

Organizations are increasingly using data as a strategic asset, which makes data services critical. Huge volumes of data need to be stored, managed, discovered and analyzed. Cloud computing and storage approaches provide enterprises with various capabilities to store and process their data in third-party data centers. The advent of data platforms previously discussed here are essential for organizations to effectively manage their data assets.

Analytics 277
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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?

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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

How to make smarter data-driven decisions at scale : [link]. The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. One CIO said it this way , “If CIOs invested in machine learning three years ago, they would have wasted their money. But if they wait another three years, they will never catch up.

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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

More Trending

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Analytics On The Bleeding Edge: Transforming Data's Influence

Occam's Razor

Analytics teams are named for the silos and limitations within which they trap themselves. Paid Media. Owned Media. SEO. BI. Customer Service. Data Warehousing. Email. And, a thousand other silos (depending on your company size). One outcome of this reality is that while every team works hard to do their very best work, it is rare that they earn strategic influence from their work.

Analytics 133
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InfoTribes, Reality Brokers

O'Reilly on Data

It seems harder than ever to agree with others on basic facts, let alone to develop shared values and goals: we even claim to live in a post-truth era. 1 With anti-vaxxers, QAnon, Bernie Bros, flat earthers, the intellectual dark web, and disagreement worldwide as to the seriousness of COVID-19 and the effectiveness of masks, have we lost our shared reality?

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Drill-through from Power BI to Paginated Report – Report Recipe #4

Paul Turley

Navigation between reports is the hallmark of an interactive reporting solution, enabling the ability to drill-through and see relevant details and contextual filtered information in a target report.

Reporting 145
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What Mature Data Infrastructure Looks Like

DataCamp

Unlocking the value of data in an organization starts with having the right data infrastructure and tooling foundations. Here’s a look at the current state and future trends of data infrastructure.

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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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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Everything you need to know about Machine Learning

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introductory Artificial Intelligence is purely math and scientific exercise but. The post Everything you need to know about Machine Learning appeared first on Analytics Vidhya.

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Mini Guide to Utilizing Data Analytics in Email Marketing

Smart Data Collective

Data analytics has been a very important aspect of modern marketing strategies. A growing number of companies are using data analytics to reach customers through virtually every channel, including email. Digital marketing is getting more competitive with each passing day, but small businesses can still rely on a time-tested channel: email marketing.

Marketing 144
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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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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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12 Rules for Data Storytelling

Juice Analytics

Are you ready to learn how to be a data storyteller, but don’t have enough time to review the many great resources ? Or maybe you don’t have the time to attend a world-class data storytelling workshop ? No problem. Here’s the CliffsNotes version of what it takes to tell stories with data. I’ve condensed down to 12 essential rules/principles, broken into two parts: 1) Thinking like a storyteller; 2) Design principles for data stories.

Metrics 138
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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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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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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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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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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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How to Implement Data Lineage Mapping Techniques

Octopai

Ever reflect on what it would be like to be a piece of data that enters your BI system? Honey, I’m home! Now I’ll just sit down on my recliner and… hey! Where are you taking me? What? You’re changing my name, but “don’t-worry-I’ll-always-be-the-same”? What does that mean? Okay, well, let me just sit down here and… where are we going now? Why do I have to put on sunglasses and a fake mustache?

Metadata 133
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The Data Fluency Framework

Juice Analytics

Data alone isn’t valuable—it’s costly. Gathering, storing, and managing data all costs money. Data only becomes valuable when you start to get insights from it and apply those insights to actions. But how do you empower your organization to do that? The answer is not simply a better dashboard or more carefully designed data visualizations. These are helpful, but small pieces.

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Data Gravity and Cloud Computing

TDAN

Cloud computing is growing rapidly as a deployment platform for IT infrastructure because it can offer significant benefits. But cloud computing is not always the answer, nor will it replace all of our on-prem computing systems anytime soon—no matter what the pundits are saying. It is true, though, that moving some types of workload into […].

IT 131
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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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Analytics success: in a world turned upside-down, what changed and what didn’t?

Timo Elliott

My presentation from the SAP Insider Data & Analytics Conference, talking about how traditional analytics barriers, and how the latest technologies can help.

Analytics 133
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Neural Network 101 – Ultimate Guide for Starters

Analytics Vidhya

ArticleVideo Book Date: 03-July-2040 Mission: Project Aries Destination: Mars Date of arrival to Mars: 18-Feb-2041 Landing Location: Jezero Crater, Mars “Imagine you are on. The post Neural Network 101 – Ultimate Guide for Starters appeared first on Analytics Vidhya.

Analytics 400
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8 Revolutionary Applications Examples of Machine Learning in Real-Life

Smart Data Collective

Machine learning (ML) is an innovative tool that advances technology in every industry around the world. From the most subtle advances, like Netflix recommendations, to life-saving medical diagnostics or even writing content , machine learning facilitates it all. Due to its constant learning and evolution, the algorithms are able to adapt based on success and failure.

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Metadata is Like Packaging: Seeing Beyond the Library Card Metaphor

Ontotext

From messages in a bottle to the pair of gold-anodized aluminum plaques placed on board of spacecraft Pioneer 10 and Pioneer 11 in the 1970s, how we package information is central to its visibility, durability and usefulness across different environments. And in our digital age, th? way we package information has a lot to do with metadata. The somewhat conventional metaphor about metadata is the one of the library card.

Metadata 124
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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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A Data Storytelling Checklist

Juice Analytics

Before you send off that data story or presentation, check out these eight guidelines to see if it is ready for prime-time. For more data storytelling inspiration, here’s a list of 20 world-class examples and our ultimate collection of resources. 1. Data is only one ingredient Words and images are the glue that holds your story together. Have you connected your data using a narrative flow?

Metrics 130
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The What & Why of Data Governance

erwin

Modern data governance is a strategic, ongoing and collaborative practice that enables organizations to discover and track their data, understand what it means within a business context, and maximize its security, quality and value. It is the foundation for regulatory compliance and de-risking operations for competitive differentiation and growth. However, while digital transformation and other data-driven initiatives are desired outcomes, few organizations know what data they have or where it i

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Trending Toward Concept Building – A Review of Model Interpretability for Deep Neural Networks

Domino Data Lab

We are at an interesting time in our industry when it comes to validating models – a crossroads of sorts when you think about it. There is an opportunity for practitioners and leaders to make a real difference by championing proper model validation. That work has to include interpretability and explainability techniques. Explaining how deep neural networks work is hard to do.

Modeling 122
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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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Enhance Customer Value: Unleash Your Data’s Potential

The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.