Thu.Feb 24, 2022

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The Power and Possibility of Intentionality

Cloudera

In the latest installment of the EMEA Influential Women in Data webinar series, we welcomed Shirley Collie, Chief Health Analytics Actuary at Discovery Health to discuss everything from how the pandemic has impacted working, to the opportunities within data, and the importance of intentionality. A data-driven organization. Shirley knows better than most about the impact that COVID 19 has had on the world.

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Improving the State of Analytics in Organizations

David Menninger's Analyst Perspectives

Despite all the advances organizations have made with respect to analytics, our most recent research shows the majority of the workforce in the majority of organizations are not using analytics and business intelligence (BI). Less than one-quarter (23%) report that one-half or more of their workforce is using analytics and BI. This is a problem. It means organizations are not enabling their workforce to perform at peak efficiency and effectiveness.

Analytics 299
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Color Picker Application Using Computer Vision

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview In this article, we will be making a very interesting application i.e. Color picker which have many use cases but the main use case of this application is that it can be widely used by UI/UX designer who has to pick the […]. The post Color Picker Application Using Computer Vision appeared first on Analytics Vidhya.

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What Is the Difference Between SQL and Object-Relational Mapping (ORM)?

KDnuggets

Object-relational mapping, or ORM, is a technique that allows you to interact with databases using the object-oriented paradigm of the programming language of your choosing. How is that different from structured query language, though, and when do you use them?

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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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Deep Learning vs Machine Learning for Regression

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Deep learning is the subfield of machine learning which uses a set of neurons organized in layers. A deep learning model consists of three layers: the input layer, the output layer, and the hidden layers. Deep learning offers several advantages over popular machine […].

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PyTorch or TensorFlow? Comparing popular Machine Learning frameworks

KDnuggets

Machine Learning with PyTorch and Scikit-learn is the PyTorch book from the widely acclaimed and bestselling Python Machine Learning series, fully updated and expanded to cover PyTorch, transformers, graph neural networks, and best practices.

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Data-Centric AI: The Latest Research You Need to Know

KDnuggets

While a vast majority of research efforts today are preoccupied solely with ML models and algorithms, the data itself tends to be secondary and is treated as fixed. This claim is potentially detrimental.

Modeling 106
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Sentiment Analysis with NLP & Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Author, Paint Introduction The main idea of this article is to help you all understand the concept of Sentiment Analysis Deep Learning & NLP. Let’s try to understand this with the help of a case. Anirudh owns an e-commerce company-Universal for the […]. The post Sentiment Analysis with NLP & Deep Learning appeared first on Analytics Vidhya.

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How Data Analytics Helps Understand Customers During the Onboarding Process

Smart Data Collective

It’s no secret that the key to having a successful onboarding process is data. All information you collect from people who admire your products and services represents the core of marketing & sales. Hence, data analytics is the main basis for product management decisions. The more information you can gather about people’s misunderstandings and struggles they often go through, the better it’ll be for optimizing the processes and interface within your product or strengthening

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5 steps to develop a business partner mindset

Jedox

If you want to become a successful business partner that shifts the finance department from a cost center to a profit driver, you need to change your mindset and self-image. Learn from Anders Liu-Lindberg what it takes for successful change. What is business partnering? What is a business partner? Known from IT and human resource planning, the term business partner is also increasingly significant for the new role of controllers.

Finance 84
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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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Testing New AI Applications is Crucial Before Bringing them to Market

Smart Data Collective

AI technology has changed many aspects of our lives. However, it is not without its own limits and challenges. A recent news article written by Kevin Dallas in The Hill talked about some of the ethical issues associated with AI. The truth is that AI technology must be properly designed and used responsibly. This includes developing AI software. Creating a new software application with complex AI algorithms is a very time and resource-intensive process.

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Smarten Support Portal Updates – February – 2022!

Smarten

We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal. If you have not registered yet, Click Here to obtain your login credentials. Knowledgebase Articles. SSDP : Manage Column in Existing Dataset. SSDP : Manage columns while creating dataset. Predictive Use cases. Handling Missing Values using Smarten Augmented Analytics.

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Benefits of PoLP in Stopping Data-Driven Cyberattacks

Smart Data Collective

Big data has made the field of cybersecurity a lot more complicated. On the one hand, many cybersecurity professionals are using big data technology to fortify their defenses and more easily respond to cybersecurity threats. Unfortunately, hackers have access to the same technology. They are using big data to orchestrate more viscous attacks than ever before.

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Introducing the Liquid Data Model

Data Virtualization

Reading Time: 2 minutes In the software world, we constantly represent real phenomena in abstract terms, and this is no exception in the world of data storage. We say that data storage, like matter, adheres to the Law of Increments, which states that, according. The post Introducing the Liquid Data Model appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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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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7 Critical Automations for a Machine Learning Automation Platform

Dataiku

Incorporating automation into ML projects can help data scientists or data engineers deploy (and keep) more work in production while reducing the amount of time spent on maintaining those projects once they’re in production. AutoML is the functionality most often discussed when talking about automation in ML, but there are also tasks outside the typical scope of AutoML that can be automated to save data scientists countless hours of repetitive work — not to mention reduce anxiety levels when it

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Introducing AOS 6.1

Nutanix

This week Nutanix announced the general availability release of our AOSâ„¢ 6.1 infrastructure software, delivering to customers higher performance, simpler management, enhanced orchestration capabilities, and more.