Analytics Vidhya
MARCH 27, 2021
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.
DataKitchen
MARCH 30, 2021
The post How the Open Edge Is Driving Digital Transformation first appeared on DataKitchen.
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Juice Analytics
MARCH 1, 2021
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.
O'Reilly on Data
MARCH 9, 2021
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.
Advertiser: ZoomInfo
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David Menninger's Analyst Perspectives
MARCH 17, 2021
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.
Rocket-Powered Data Science
MARCH 19, 2021
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.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
datapine
MARCH 8, 2021
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.
Corinium
MARCH 8, 2021
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.
O'Reilly on Data
MARCH 23, 2021
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?
Paul Turley
MARCH 30, 2021
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.
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
DataCamp
MARCH 30, 2021
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.
Analytics Vidhya
MARCH 20, 2021
ArticleVideo Book Introduction In this article, we’ll introduce you to various common terminologies used in the machine learning and artificial intelligence industry. Without any. The post Common terminologies used in Machine Learning and Artificial Intelligence appeared first on Analytics Vidhya.
DataRobot
MARCH 10, 2021
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.
Corinium
MARCH 7, 2021
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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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.
Smart Data Collective
MARCH 5, 2021
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.
Domino Data Lab
MARCH 11, 2021
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.
Teradata
MARCH 25, 2021
Learn how best to host a virtual hackathon, or any virtual event, with these tips and tricks from our Teradata team. Read more.
Analytics Vidhya
MARCH 17, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon. What are GENERATIVE ADVERESIAL NETWORKS and what are GANs used. The post Why Are Generative Adversarial Networks(GANs) So Famous And How Will GANs Be In The Future? appeared first on Analytics Vidhya.
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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.
Juice Analytics
MARCH 17, 2021
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.
Business Over Broadway
MARCH 8, 2021
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.
Smart Data Collective
MARCH 8, 2021
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.
Boris Evelson
MARCH 8, 2021
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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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.
Timo Elliott
MARCH 25, 2021
My presentation from the SAP Insider Data & Analytics Conference, talking about how traditional analytics barriers, and how the latest technologies can help.
Analytics Vidhya
MARCH 12, 2021
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.
Octopai
MARCH 31, 2021
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?
Occam's Razor
MARCH 23, 2021
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.
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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?
Smart Data Collective
MARCH 26, 2021
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.
Juice Analytics
MARCH 30, 2021
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.
TDAN
MARCH 2, 2021
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 […].
Analytics Vidhya
MARCH 8, 2021
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.
Advertiser: ZoomInfo
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