Sat.Mar 07, 2020 - Fri.Mar 13, 2020

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Measuring Maturity

Peter James Thomas

The author, engaged in measuring maturity – © Jennifer Thomas Photography – view full photo. In the thirteen years that have passed since the beginning of 2007, I have helped ten organisations to develop commercially-focused Data Strategies [1]. I last wrote about the process of creating a Data Strategy back in 2014 and – with the many changes that the field has seen since then – am overdue publishing an update, so watch this space.

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5 Things Business Leaders Need to Know About Data Strategy

DataCamp

Find out how to build a healthy and sustainable data strategy that will move the needle for your company.

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Methods for Valuing Data

Andrew White

Diane Coyle‘a new paper, The Value of Data , is most interesting. The paper’s findings and recommendations seem somewhat consistent, and are focused on public policy implications for private markets, as is the recent EU Data Strategy white paper. After reading both and comparing the recommendations made to how markets operate and how information drives competitive behaviour, I found questions and challenges in both papers and shared a few of them in a recent blog.

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spaCy Tutorial to Learn and Master Natural Language Processing (NLP)

Analytics Vidhya

Introduction spaCy is my go-to library for Natural Language Processing (NLP) tasks. I’d venture to say that’s the case for the majority of NLP. The post spaCy Tutorial to Learn and Master Natural Language Processing (NLP) appeared first on Analytics Vidhya.

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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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Why CCOs Must be ‘Corkscrew Thinkers’

Corinium

With customer expectations rising higher than ever before, it’s never been tougher for organisations to deliver outstanding experiences. To succeed, CCOs need a healthy dose of what Churchill called “corkscrew thinking”. Winston Churchill knew the value of unconventional ideas. He called it “corkscrew thinking”, and it became the secret weapon that saw the Allies through the lowest points of World War Two.

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The Power of Graph Databases, Linked Data, and Graph Algorithms

Rocket-Powered Data Science

In 2019, I was asked to write the Foreword for the book “ Graph Algorithms: Practical Examples in Apache Spark and Neo4j “ , by Mark Needham and Amy E. Hodler. I wrote an extensive piece on the power of graph databases, linked data, graph algorithms, and various significant graph analytics applications. In their wisdom, the editors of the book decided that I wrote “too much” So, they correctly shortened my contribution by about half in the final published version of my Fo

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Build a Decision Tree in Minutes using Weka (No Coding Required!)

Analytics Vidhya

Learn how to build a decision tree model using Weka This tutorial is perfect for newcomers to machine learning and decision trees, and those. The post Build a Decision Tree in Minutes using Weka (No Coding Required!) appeared first on Analytics Vidhya.

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Creating the Underwriter of the Future with Data

Corinium

The rise of data and analytics in the insurance industry means the underwriting profession is changing fast. Not everyone is thrilled about the rise of AI in the insurance industry.

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Shocking Amount of Data

Rocket-Powered Data Science

50 years after the publication of Alvin Toffler ’s landmark book “ Future Shock “, a new book “ After Shock ” is here. This 540-page compendium collects over 100 modern-day perspectives on After Shock from leading futurists, including deep assessments of Toffler’s formidably prescient predictions from half a century ago, along with a status check on the current exponential growth (“shock”) in all sectors of the world economy, from the unique vantage poin

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10 Quick Tips For Procedure Documentation

BA Learnings

Most software development and process improvement projects involve introducing new ways of working as part of implementation. Creating a procedure document that users can follow thus becomes a key activity for business analysts that needs to be completed so that system users can perform their duties using the new system or process on day one. So, what exactly is a procedure and how is this different from a process?

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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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Getting into Deep Learning? Here are 5 Things you Should Absolutely Know

Analytics Vidhya

Starting your Deep Learning Career? Deep learning can be a complex and daunting field for newcomers. Concepts like hidden layers, convolutional neural networks, backpropagation. The post Getting into Deep Learning? Here are 5 Things you Should Absolutely Know appeared first on Analytics Vidhya.

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20+ Machine Learning Datasets & Project Ideas

KDnuggets

Upgrading your machine learning, AI, and Data Science skills requires practice. To practice, you need to develop models with a large amount of data. Finding good datasets to work with can be challenging, so this article discusses more than 20 great datasets along with machine learning project ideas for you to tackle today.

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Elements of Data Science – A free Jupyter Notebook Textbook

Data Science 101

Elements of Data Science by Allen Downey is a freely available textbook. It consists of Jupyter Notebooks on Google Colab, so you can view and edit code if you want. This could be a great way to begin your data science and programming journey. The post Elements of Data Science – A free Jupyter Notebook Textbook appeared first on Data Science 101.

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Automation Gives DevOps More Horsepower

erwin

Almost 70 percent of CEOs say they expect their companies to change their business models in the next three years, and 62 percent report they have management initiatives or transformation programs underway to make their businesses more digital, according to Gartner. Wouldn’t it be advantageous for these organizations to accelerate these digital transformation efforts?

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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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Here’s How to Build a Pivot Table using Pandas in Python

Analytics Vidhya

Pivot tables – the Swiss Army Knife of data analysis I love how quickly I can analyze data using pivot tables. With one click. The post Here’s How to Build a Pivot Table using Pandas in Python appeared first on Analytics Vidhya.

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New Poll: Coronavirus impact on AI/Data Science/Machine Learning community

KDnuggets

Has coronavirus impacted your conference or other travel plans, and do you anticipate it causing further professional or educational disruption in the near future? Take part in the new KDnuggets poll and have your say.

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Emily Glassberg Sands – How Data Science Can Unlock Teaching & Learning at Scale

Data Science 101

Emily Glassberg Sands is the Head of Data Science at Coursera. This is a nice talk about how Coursera uses data science to improve the scale of teaching and learning. This talk was delivered at Women in Data Science 2020. The post Emily Glassberg Sands – How Data Science Can Unlock Teaching & Learning at Scale appeared first on Data Science 101.

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The Insights Beat: Stay On Course With Smart Data And Analytics Choices

Srividya Sridharan

As companies navigate through murky waters amid global health and economic headwinds, as a data and analytics leader, it may feel like there are many things that are out of your hands today. As you weather these conditions, it is still important to chart a steady course and be laser-focused on the parts you can […].

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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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A Beginner’s Guide to Random Forest Hyperparameter Tuning

Analytics Vidhya

Introduction to Random Forest What’s the first image that comes to your mind when you think about Random Forest? It conjures up images of. The post A Beginner’s Guide to Random Forest Hyperparameter Tuning appeared first on Analytics Vidhya.

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Resources for Women in AI, Data Science, and Machine Learning

KDnuggets

For the international women's day, we feature resources to help more women enter and succeed in AI, Big Data, Data Science, and Machine Learning fields.

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Cloud Data Science 10

Data Science 101

Lots of happenings this week. The Cloud Data Science world is keeping busy. Also, the coronavirus is affecting many upcoming conferences, so just be aware of that. News. Honeywell has announced the development of the most powerful quantum computer in the world They are partnering with Microsoft Azure so eventually it will be a part of Azure Quantum Google Cloud Speech to Text got many updates It now supports 7 new languages, has better punctuation, understand whom is speaking, and more Google Cl

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Handling uncertainty: panic vs. precautions…

Timo Elliott

It’s always hard to make the right decisions when the data is uncertain. And that’s currently more important than ever, faced with the rise of the SARS-CoV-2 novel coronavirus and COVID-19, the disease it causes. For example, there are currently many discussions about the “true” mortality rate of the Covid-19 coronavirus. Some people insist that the currently reported mortality rates are wildly overestimated because of the “missing denominator” problem—the abs

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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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What are Lambda Functions? A Quick Guide to Lambda Functions in Python

Analytics Vidhya

Introduction For loops are the antithesis of efficient programming. They’re still necessary and are the first conditional loops taught to Python beginners but in. The post What are Lambda Functions? A Quick Guide to Lambda Functions in Python appeared first on Analytics Vidhya.

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50 Must-Read Free Books For Every Data Scientist in 2020

KDnuggets

In this article, we are listing down some excellent data science books which cover the wide variety of topics under Data Science.

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Unlocking the Power of Better Data Science Workflows

Smart Data Collective

It doesn’t matter what the project or desired outcome is, better data science workflows produce superior results. But if you’re still working with outdated methods, you need to look for ways to fully optimize your approach as you move forward. 5 Tips for Better Data Science Workflows. Data science is a complex field that requires experience, skill, patience, and systematic decision-making in order to be successful.

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Perbandingan Teknik Data Analisis: Excel, R, Python, dan Software BI

FineReport

Kita tahu saat ini adalah era analisis data. Dari negara, pemerintah, dan perusahaan, data skala besar dan analisis data telah menjadi satu tren yang umum bagi kita semua. Tapi Anda mungkin tidak memiliki pengetahuan profesional dalam menganalisis data dan pemrograman, atau Anda mungkin telah mempelajari banyak teori analisis data, tetapi Anda masih tidak bisa mempraktekkannya.

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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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Top Highlights from TensorFlow Dev Summit 2020!

Analytics Vidhya

Introduction TensorFlow is a popular and leading open-source framework for developing machine learning and deep learning applications. Developed and pioneered by Google, TensorFlow is. The post Top Highlights from TensorFlow Dev Summit 2020! appeared first on Analytics Vidhya.

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Building a Mature Machine Learning Team

KDnuggets

After spending a lot of time thinking about the paths that software companies take toward ML maturity, this framework was created to follow as you adopt ML and then mature as an organization. The framework covers every aspect of building a team including product, process, technical, and organizational readiness, as well as recognizes the importance of cross-functional expertise and process improvements for bringing AI-driven products to market.

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Understanding The Nature Of Proxy Servers In The Big Data Age

Smart Data Collective

Big data has opened up a can of worms when it comes to online privacy. A poll cited by Broadband Now shows that 95% of Americans are concerned about their online privacy, but only 50% are taking action to safeguard it. This has opened up discussions about the benefits of online proxies. Concerns about online privacy have peaked this week. A bipartisan bill by Senators Dianne Feinstein and Linsey Graham would require online platforms to make messages unencrypted.

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Health Care Access Now: How trust and trusted data help reduce healthcare inequality

IBM Big Data Hub

The numbers are alarming. In 2018, the World Health Organization, reported the United States had the sixth highest number of preterm births in the world. In the United States today, 10 percent of children are born premature—three or more weeks before their due date. According to the 2019 March of Dimes Report Card, premature birth in the State of Ohio occurs at a rate of 10.3 percent.

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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.