Sat.Apr 10, 2021 - Fri.Apr 16, 2021

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10 Upcoming Data Science Platforms for Massive Disruption

DataKitchen

The post 10 Upcoming Data Science Platforms for Massive Disruption first appeared on DataKitchen.

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Rethinking AI – Artificial Intelligence

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. 1. Introduction We generally see data science from different perspectives. The post Rethinking AI – Artificial Intelligence appeared first on Analytics Vidhya.

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Process Mining: Improve Execution and Operations with Analytics

David Menninger's Analyst Perspectives

Process-mining software isn’t exactly new, but it’s also not widely known in the software technology market. The discipline has been around for at least a decade, but is generating more interest these days with both specialist vendors and major enterprise software vendors offering process-mining products and services. We assert that through 2022, 1 in 4 organizations will look to streamline their operations by exploring process mining.

Analytics 257
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Your Guide To Modern Agency Analytics, Dashboards & Reporting Techniques

datapine

With the exponential growth of digital businesses, so has grown the need to outsource some key processes to digital agencies. Although this is positive for the many types of agencies in the market, it has also left them facing a big challenge. With more potential clients on the lookout, agencies need to stand out from the rest with top-quality services and unique features that will make them irreplaceable for their clients.

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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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3 Top Email Security Practices to Prevent a Data Breach

Smart Data Collective

Cyber-attacks have emerged as a big threat to the world. The World Economic Forum has included cyber-attacks and data breaches in the list of top global risks in 2020. The problems associated with data breaches cannot possibly be overstated. The average data breach cost $3.86 million and that figure could rise even further in the future. While a cyber-attack can take a toll on anyone, it is particularly threatening for business enterprises.

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How to manipulate a 20G CSV file efficiently?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. This post is to compare the performance of different methods. The post How to manipulate a 20G CSV file efficiently? appeared first on Analytics Vidhya.

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How to Visualize Qualitative Data with Colored Phrases

Depict Data Studio

Wondering how to visualize your qualitative data? Maybe you’ve got open-ended survey responses, focus group notes, or speech transcripts. Qualitative data visualization can bring our words and phrases to life. My friend Jon Schwabish from PolicyViz asked me to partner on his One Chart at a Time project, in which we’re helping you get better-acquainted with common and not-so-common chart types.

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Business Intelligence for Fairs, Congresses and Exhibitions

Smart Data Collective

For most entrepreneurs, the best way to make money is to find ways to work smarter and not harder. While different companies, regardless of their size, have different operational processes, they share a common need for actionable insight to drive success in their business. Advancement in big data technology has made the world of business even more competitive.

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The Easiest Way To Deploy Machine Learning Models: PyWebIO

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Creating a machine learning model is a wholesome process involving. The post The Easiest Way To Deploy Machine Learning Models: PyWebIO appeared first on Analytics Vidhya.

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Data Governance Maturity and Tracking Progress

erwin

Data governance is best defined as the strategic, ongoing and collaborative processes involved in managing data’s access, availability, usability, quality and security in line with established internal policies and relevant data regulations. erwin recently hosted the third in its six-part webinar series on the practice of data governance and how to proactively deal with its complexities.

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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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PODCAST: Making AI Real – Episode 5: Debunking AI Myths

bridgei2i

PODCAST: Making AI Real. Episode 5: Debunking AI Myths. Listening time: 15 minutes. Debunking AI Myths. In this episode of the AI to Impact podcast, Divyansh Mishra and Anil Prasad from AI Labs, BRIDGEi2i discuss the myriad misconceptions of artificial intelligence and decode the real deal with AI. They talk about the buzzword that used to be AI and elaborate on the science behind Deep Neural Networks.

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New AI Assistants Do Wonders for Marketing Teams

Smart Data Collective

A robust Artificial Intelligence or AI-based virtual assistant can supercharge your lead conversion process and optimize your marketing and sales teams’ performance. Conversica is one such solution, providing Intelligent Virtual Assistants (IVA) for customer engagement that help companies attract, obtain, and grow a customer base at scale. However, while Conversica offers excellent AI assistant features and functionalities, there are pros and cons to using the solution that might not fully addre

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Probability Theory Basics in Machine Learning

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Machine Learning is a very interesting branch of Artificial Intelligence. The post Probability Theory Basics in Machine Learning appeared first on Analytics Vidhya.

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Augmented Analytics: Empowering Users with Deeper Intelligence

Sisense

Blog. Analytics is the future. It’s the present, too, but you already know that. Your company is gathering data (and has likely been doing so for years), and you’ve probably got a system or two to glean insights from that data to make smarter decisions. But just as you’re getting a handle on your analytics program, you start hearing about “augmented analytics,” and now you’re worried you need to adopt that too to stay competitive in an evolving world.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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25 Best Healthcare KPIs and Metric Examples for 2021 Reporting

Jet Global

What is a Healthcare KPI? A healthcare Key Performance Indicator (KPI) or metric is a well-defined performance measure that is used to observe, analyze, optimize, and transform a healthcare process to increase satisfaction for both patients and healthcare providers alike. These metrics are commonly used by care facilities to compare their performance to other care facilities and identify areas of improvement.

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Reasons Data Science Consultants Can Be Excellent Investments

Smart Data Collective

There’s a lot of data out there, even for businesses that use relatively limited data sets for niche industries. Now that so many companies have tons of data to sift through before they can make informed decisions, lots of organizations are turning to data science consultants. A data science consultant is a specialist that knows how and where to sift through mountains of data for the good stuff that allows you to make smart decisions and take advantage of all the information provided by your cus

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How Aviation Industry Uses Data Science?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Aviation Industry does use AI or rather data science and. The post How Aviation Industry Uses Data Science? appeared first on Analytics Vidhya.

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Snowcase Study: How Data Governance Gives Texas Mutual Insurance Company a Competitive Edge

Alation

Chris Atkinson is partner CTO at Snowflake. He works with Snowflake partners to craft joint solutions. Much of his work focuses on democratising data and breaking down data silos to drive better business outcomes. In this blog, Chris shows how Snowflake and Alation together accelerate data culture. He shows how Texas Mutual Insurance Company has embraced data governance to build trust in data.

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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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How Can Tax Professionals Leverage Software to Become More Strategic?

Jet Global

Demands on tax teams have never been greater, especially when the uncertainty of the economy and the ongoing impact of the pandemic are considered. Yet somehow tax professionals need to transition from their current position, which is arguably often restricted to compliance and reporting processes, to take on a more strategic role that adds more value to the business.

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What Are the Most Important Steps to Protect Your Organization’s Data?

Smart Data Collective

In the modern world of business, data is one of the most important resources for any organization trying to thrive. It also happens to be one of the most vulnerable and frequently attacked. Business data is highly valuable for cybercriminals. They even go after meta data. Big data can reveal trade secrets, financial information, as well as passwords or access keys to crucial enterprise resources.

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Principal Component Analysis Introduction and Practice Problem

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Table of Contents Introduction Gentle Overview Cons of Using PCA. The post Principal Component Analysis Introduction and Practice Problem appeared first on Analytics Vidhya.

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Data quality assurance in BI - based on CRM data

ScienceSoft

No more wrong data analysis caused by bad data! Be armed with our new blog post on data quality assurance in the context of CRM.

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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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Data Insights, Trends, and Best Practices to Achieve Organizational Excellence

DataCamp

We’ve compiled a list of expert resources to inform your data strategy. Explore these webinars and white papers at no cost.

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Big Data Will Become Central to Healthcare Following The Pandemic

Smart Data Collective

Big data analytics has already had a transformative influence across a wide range of sectors, and it’s perhaps no more prevalent than in the world of healthcare. With the sheer volume of information that patients are capable of producing and the heightened emphasis on the industry in the wake of the COVID-19 pandemic , big data may yet develop into one of the most significant tools in maintaining the health of individuals and even anticipating the emergence of conditions that are yet to manifest

Big Data 115
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A Gentle Introduction to PyTorch Library for Deep Learning

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. The following tutorial assumes some basic knowledge about Python programming. The post A Gentle Introduction to PyTorch Library for Deep Learning appeared first on Analytics Vidhya.

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AutoML and the Rise of the Citizen Data Scientist

Dataiku

The rapid acceleration of AutoML has spurred the application of automation to the whole data-to-insights pipeline, from cleaning the data to tuning algorithms through feature selection and feature creation to operationalization. At this larger scale, paired with an increasing volume of data, AutoML is producing more insights in less time. How can this development help analysts rise to the next level of their career?

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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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Enabling NVIDIA GPUs to accelerate model development in Cloudera Machine Learning

Cloudera

When working on complex, or rigorous enterprise machine learning projects, Data Scientists and Machine Learning Engineers experience various degrees of processing lag training models at scale. While model training on small data can typically take minutes, doing the same on large volumes of data can take hours or even weeks. To overcome this, practitioners often turn to NVIDIA GPUs to accelerate machine learning and deep learning workloads. .

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The Growing Importance of AI for Small Businesses

Smart Data Collective

Artificial intelligence (AI) is no more confined to big businesses. As the technology matures and becomes more affordable, it has found a place in startups and small businesses as well. Do you need some evidence to support this position? A survey of 1,467 CEOs of small and mid-sized businesses (SMBs) found that out of all the current technologies, AI has had the maximum impact on their business. .

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Common mistakes Data Engineers do in their Learning Path

Analytics Vidhya

ArticleVideo Book It has been lately called that ‘data scientist’ is the sexiest job of the 21st century. However, now, data engineering jobs are. The post Common mistakes Data Engineers do in their Learning Path appeared first on Analytics Vidhya.

Analytics 373
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DataCamp Digest April 2021: The technology powering your data team

DataCamp

Our favorite articles of the month include an exploration of the analytics stack, from data collection to warehousing, transformation, and insights.

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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.