Sat.May 01, 2021 - Fri.May 07, 2021

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What’s the Secret Recipe for DataOps?

DataKitchen

Catalog & Cocktails podcast hosts Tim Gasper & Juan Sequeda of data.world interview DataKitchen CEO Chris Bergh on how to create the right DataOps culture & measuring the value of your DataOps strategy. The post What’s the Secret Recipe for DataOps? first appeared on DataKitchen.

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DataRobot Automates and Simplifies AI/ML

David Menninger's Analyst Perspectives

Machine learning is valuable for organizations, but it can be hard to deploy. Our Machine Learning Dynamic Insights research identifies that not having enough skilled resources and difficulty building and maintaining ML systems are pressing challenges organizations face in applying ML. Traditional ML model development is resource-intensive, requiring significant domain knowledge and time to produce and compare dozens of models.

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A Complete Guide for Creating Machine Learning Pipelines using PySpark MLlib on Google Colab

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Overview This article focuses on exploring Machine Learning using Pyspark. The post A Complete Guide for Creating Machine Learning Pipelines using PySpark MLlib on Google Colab appeared first on Analytics Vidhya.

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The Changing Database Landscape

TDAN

When you’ve been involved in data management for as long as I have, things are definitely bound to change. And things have changed, quite a lot, in fact. Back when I started in IT, IMS was the primary database system used at most big enterprises and most of the computing was done on mainframe systems. […].

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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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Spark on Kubernetes – Gang Scheduling with YuniKorn

Cloudera

Apache YuniKorn (Incubating) has just released 0.10.0 ( release announcement ). As part of this release, a new feature called Gang Scheduling has become available. By leveraging the Gang Scheduling feature, Spark jobs scheduling on Kubernetes becomes more efficient. What is Apache YuniKorn (Incubating)? Apache YuniKorn (Incubating) is a new Apache incubator project that offers rich scheduling capabilities on Kubernetes.

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Crucial Benefits of Collecting and Analyzing Data for Modern Businesses

Smart Data Collective

The market for big data is expected to be worth $274 billion by next year. This is hardly surprising, since so many businesses depend on data analytics to draw useful insights on every aspect of their business model. Analytics is one of the most powerful tools that modern businesses possess. Any business that is ready to embrace data analytics will have access to a wealth of information on their industry, customer base, competitors and more.

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The Art of Data Storytelling

Juice Analytics

Data Storytelling is a powerful way to present data in ways that influence your audience. It is a skill that combines elements of artistic expression and structured methods. In this article, we will start by learning from the mindset of a leading storytelling organization, Pixar. Then we will discuss how to structure data stories to guide your audience through data.

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How DataOps Enables a Data Fabric

DataKitchen

The post How DataOps Enables a Data Fabric first appeared on DataKitchen.

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Photography Trends Utilizing Data To Keep Your Social Content Fresh

Smart Data Collective

Big data and artificial intelligence have become incredibly useful in the field of photography. Photographers need to know how to leverage big data effectively. A number of new trends have emerged that involve the use of data. They can be useful for social media marketers that need fresh visual content. Big Data Becomes Integral for Social Media Marketers Relying on Photography.

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Convolutional Neural Networks (CNN)

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction In the past few decades, Deep Learning has. The post Convolutional Neural Networks (CNN) appeared first on Analytics Vidhya.

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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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Data Minimization as Design Guideline for New Data Architectures

Data Virtualization

IT excels in copying data. It is well known organizations are storing data in volumes that continue to grow. However, most of this data is not new or original, much of it is copied data. For example, data about a. The post Data Minimization as Design Guideline for New Data Architectures appeared first on Data Virtualization blog.

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Data Professionals Prefer A Hybrid Approach to Tools and Technologies

Business Over Broadway

I recently reached out to data professionals on LinkedIn to ask a series of questions about their work. Results from one of those polls revealed that 58% of data pros reported that they prefer a hybrid approach (on premises and cloud) for their tools and technologies. About a third of respondents preferred the cloud. Only 6% of respondents preferred on premises.

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Data Governance is a Crucial Part of Your Business Strategy

TDAN

Since July 2018, over €274M in fines have been enforced by the EU General Data Protection Regulation. The lion’s share of these (more than €228M) are for “insufficient legal basis for data processing” and “insufficient technical and organizational measures to ensure information security,” which implies that the majority of offending organizations lack critical policy and infrastructure components to make […].

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An Introduction to Statistics For Data Science: Basic Terminologies Explained

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Are you an aspiring data scientist who wants to learn. The post An Introduction to Statistics For Data Science: Basic Terminologies Explained appeared first on Analytics Vidhya.

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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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Data Analytics Secrets to Optimizing Your Email Marketing Strategy?

Smart Data Collective

With most businesses investing more heavily data-driven, digital marketing strategies recent years, it’s important to stay ahead of your competitors. With a good email marketing strategy in place, you are likely to be more successful. Big data has become incredibly important for the future of email marketing. Why is it important to have a data-driven email marketing strategy?

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How Did the COVID-19 Pandemic Impact Collaboration among Data Scientists?

Business Over Broadway

I recently reached out to data professionals on LinkedIn to ask a series of questions about their work. Results from one of those polls revealed that 46% of data pros reported that they work more collaboratively with their colleagues now than before the COVID-19 pandemic. About a third of respondents indicated that they work less collaboratively with their colleagues now than before the pandemic.

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How Contextual Data is Driving the Future of Telehealth

TDAN

The expansion of big data applications has created opportunities across economic sectors. In healthcare, however, the potential of big data applications goes far beyond the financial. The contextual data gleaned from big data can drive healthcare solutions and accessibility to new heights. Contextual data means improved care. With it, healthcare professionals can spot patterns in […].

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How to Perform One-Hot Encoding For Multi Categorical Variables

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. In this article, we will learn about how can we. The post How to Perform One-Hot Encoding For Multi Categorical Variables appeared first on Analytics Vidhya.

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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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7 Data Collection Tools Every Company Must Have

Smart Data Collective

Businesses need to use their knowledge and data effectively if they want to succeed. This involves collecting plenty of information to ensure your business can make changes and adjustments based on various trends. If you need help collecting and organizing your data, you should get these seven data collection tools to help your company. Landing Page Tools.

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11 Best Data Storytelling Courses 2021

Juice Analytics

Are you looking to upgrade your Data Storytelling skills? There are many options for learning, including this list of best data storytelling workshops and absorbing the lessons of masters from 20 amazing data storytelling examples. If you are looking for a packaged course that will teach you about data visualization, narrative, and engaging your audience, we’ve tracked down some of the best options.

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Zen and the Art of Data Maintenance: Feeling is Information

TDAN

In this age of data being a precious and valuable resource, what data would you say is most important? Many people talk of the value of intellectual property, customer profile data, financial data, competitive data, and other types of data being invaluable, sometimes even more important than company revenues! What about the data associated with […].

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Machine Learning Model Evaluation

Analytics Vidhya

ArticleVideo Book What is Machine Learning? Machine Learning is a popular topic in Information Technology in the present day. Machine Learning allows our computer. The post Machine Learning Model Evaluation appeared first on Analytics Vidhya.

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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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6 Essential Practices For Data Security With Remote Working

Smart Data Collective

Who doesn’t want to work from home? The ongoing pandemic has granted such an opportunity for many people. Unfortunately, it is not without its own challenges. The truth is that earning money directly from the comfort of our houses can still mean a lot of headaches if we don’t choose the right software. Luckily enough, the internet has so much to offer us all!

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How to Maximize Value and Insights from Microsoft Power BI

Jedox

Enjoying a scenic drive on a warm summer day offers an opportunity to enjoy the picturesque views ahead of you, and maybe even where to stop to take the best pictures. While the windshield of the car provides a view of what lies ahead, the rearview mirror allows you to look back to see where you’ve been. However, you can’t drive the car looking through the rearview mirror.

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The 3 Pillars of Effective BI Governance

TDAN

For enterprise Business Intelligence (BI) deployments to be successful, it is critical that a governance layer is established on not only the data being captured, but also the analytics that are being delivered to business users. Without a comprehensive governance layer, users lose trust in both the analytics and the BI team, and establishing a […].

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Data Analytics vs Data Analysis, Are they similar?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. If you have a basic knowledge of tech, you must have. The post Data Analytics vs Data Analysis, Are they similar? appeared first on Analytics Vidhya.

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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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Benefits of Using AI for Facebook Retargeting In 2021

Smart Data Collective

Artificial intelligence has really transformed the state of digital marketing. A growing number of marketers are using AI to connect with customers across various platforms. This includes Facebook. There are a lot of great reasons to integrate AI technology into your Facebook marketing campaigns. One of the benefits is that you can use retargeting. AI algorithms have made it easier to reach customers that have already engaged with your website.

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How to Perform Basic ML Serving With Python, Docker, and Kubernetes

Dataiku

This tutorial provides a basic, step-by-step example of real-time serving a machine learning (ML) model as a REST API with Python, Docker, and Kubernetes. We’ll build a basic REST API with Python, test it locally with Docker, and deploy our API with Kubernetes. By the way, if you want to go faster, I conclude this post by showing two simple steps to deploy the model as a REST API with Docker and Kubernetes in Dataiku.

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What Isaac Newton Did in Lockdown – And What it Tells Us About Data Science

Teradata

The end of the pandemic may well be in sight, but it’s highlighted the incredible power of data science to transform economies, industries & people’s lives for the better.

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Feature Transformations in Data Science: A Detailed Walkthrough

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Data preprocessing is one of the many crucial steps of. The post Feature Transformations in Data Science: A Detailed Walkthrough appeared first on Analytics Vidhya.

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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.