February, 2021

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Pitching a DataOps Project That Matters

DataKitchen

Every DataOps initiative starts with a pilot project. How do you choose a project that matters to people? DataOps addresses a broad set of use cases because it applies workflow process automation to the end-to-end data-analytics lifecycle. DataOps reduces errors, shortens cycle time, eliminates unplanned work, increases innovation, improves teamwork, and more.

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A Comprehensive Step-by-Step Guide to Become an Industry Ready Data Science Professional

Analytics Vidhya

ArticleVideo Book Introduction to Artificial Intelligence and Machine Learning Artificial Intelligence (AI) and its sub-field Machine Learning (ML) have taken the world by storm. The post A Comprehensive Step-by-Step Guide to Become an Industry Ready Data Science Professional appeared first on Analytics Vidhya.

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How to Take Advantage of AI/ML Today

David Menninger's Analyst Perspectives

The industry is making huge strides with artificial intelligence (AI) and machine learning (ML). There is more data available to analyze. Analytics vendors have made it easier to build and deploy models, and AI/ML is being embedded into many types of applications. Organizations are realizing the value that AI/ML provides and there are now millions of professionals with AI or ML in their title or job description.

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5 things on our data and AI radar for 2021

O'Reilly on Data

Here are some of the most significant themes we see as we look toward 2021. Some of these are emerging topics and others are developments on existing concepts, but all of them will inform our thinking in the coming year. MLOps FTW. MLOps attempts to bridge the gap between Machine Learning (ML) applications and the CI/CD pipelines that have become standard practice.

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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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Technologies that Could See Significant Growth

TDAN

With the new year events well behind us, we’re steadily focused on moving forward in 2021. While we have seen a change in the calendar year, one initiative that continues to be a top priority for businesses is storing, managing, accessing and optimizing corporate data. Given that, let’s consider what I believe will be some […].

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Medical Data and Advanced Robotics: Saving Lives, Improving Care

Sisense

Blog. Imagine a future where a wide range of surgeries, no matter how complex, could be conducted remotely, a future where a patient in dire need of help could access the most highly regarded specialists in any area of medicine regardless of where on the globe that person may be. In 2019, Dr. Ryan Madder from Spectrum Health performed a series of simulated remote percutaneous coronary interventions (PCIs) via a control station outside of Boston.

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A Beginner’s Guide To Seaborn: The Simplest Way to Learn

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction A step-by-step guide to getting started with Seaborn! If matplotlib. The post A Beginner’s Guide To Seaborn: The Simplest Way to Learn appeared first on Analytics Vidhya.

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The 2021 Market Agenda for Analytics: Converting Data Into Insights

David Menninger's Analyst Perspectives

Ventana Research recently announced its 2021 market agenda for Analytics , continuing the guidance we’ve offered for nearly two decades to help organizations derive optimal value from technology investments to improve business outcomes.

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Product Management for AI

O'Reilly on Data

A couple of years ago, Pete Skomoroch, Roger Magoulas, and I talked about the problems of being a product manager for an AI product. We decided that would be a good topic for an article, and possibly more. After Pete and I wrote the first article for O’Reilly Radar, it was clear that there was “more”–a lot more. We then added Justin Norman, VP of Data Science at Yelp, to the team.

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7 Ways Small Businesses Use Data Analytics for Expense Tracking

Smart Data Collective

Companies are discovering the countless benefits of using big data as they strive to keep their operations lean. Big data technology has made it a lot easier to maintain a decent profit margin as they try to keep their heads above water during a horrific economic downturn. One of the most important benefits of using big data is with expense tracking.

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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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Inside 2021 ML Trends: Causality

Dataiku

In January, our Dataiku Lab team presented their annual findings for up-and-coming machine learning (ML) trends , based on the work they do in machine learning research. In this series, we're going to break up their key topics (trustworthy ML, human-in-the-loop ML, causality, and the connection between reinforcement learning and AutoML) so they're easy for you to digest as you aim to optimize your ML projects in 2021.

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The Role of Containers on MLOps and Model Production

Domino Data Lab

Container technology has changed the way data science gets done. The original container use case for data science focused on what I call, “environment management”. Configuring software environments is a constant chore, especially in the open source software space, the space in which most data scientists work. It often requires trial and error. This tinkering may break dependencies such as those between software packages or between drivers and applications.

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Introduction to Machine Learning for Absolute Beginners

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction Machine learning.Sounds cool right? When I see those two words, The post Introduction to Machine Learning for Absolute Beginners appeared first on Analytics Vidhya.

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Data in 2021: Ventana Research Market Agenda

David Menninger's Analyst Perspectives

Ventana Research recently announced its 2021 Market Agenda for data, continuing the guidance we have offered for nearly two decades to help organizations derive optimal value and improve business outcomes.

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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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Open Source in Data Science [Infographic]

DataCamp

Our infographic explains how the open-source revolution has transformed data science and maps out how to become fluent in data manipulation, data visualization, machine learning, reporting and communicating data, and natural language processing.

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Big Data Insights Show Surprising Impact of Diversity on Likelihood of Successful Ransomware Attacks

Smart Data Collective

Big data has shed some important insights on a number of facets of modern organizational functions. One of the areas that has been shaped by big data is cybersecurity. We have talked about the importance of using big data to strengthen cybersecurity by creating more robust defenses. However, there are also less direct reasons that big data can be important for stopping cyberattacks.

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US, China, EU: How the Rise of AI Highlights Cultural Differences

Dataiku

Following OpenAI’s update of the latest staged release of GPT-2, it’s a good time to reflect on what the project means for the future of AI’s openness, but more broadly — and probably more importantly — for the future of regulation and openness in the field.

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Is Your Data Holding You Back Instead of Driving You Forward?

Teradata

Everyone knows that data is vital for success in retail. But without a clear data strategy, retailers often eat up resources fighting small-scale battles, whilst gradually losing the war.

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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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Key Python Packages for Data Science

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction Hi! Young Data Science enthusiast, Let’s understand key packages for. The post Key Python Packages for Data Science appeared first on Analytics Vidhya.

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#ClouderaLife Spotlight: Kevin Smith, Staff Customer Operations Engineer

Cloudera

Meet Kevin Smith, a Staff Customer Operations Engineer within the US Public Sector support team. He sums up his day-to-day by saying he works directly with clients on technical cases and provides support and guidance as they troubleshoot unexpected behavior. He also serves as a member of several project teams focusing on upgrade experiences, internal tools, product testing, training, and documentation.

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How Data Science is Used in Every Step of the Automotive Lifecycle

DataCamp

Making better, safer vehicles requires a data-driven approach. Data science unlocks better mobility solutions for all with connected and autonomous vehicles.

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Machine Learning Algorithms and the Data Pros Who Use Them

Business Over Broadway

A recent survey by Kaggle revealed that data professionals used a variety of different ML algorithms in their work. On average, data professionals used two (median) algorithms. The most frequently used algorithms were 1) linear/logistic regression, 2) decision trees/random forests and 3) Convolutional Neural Networks. The total number of and use of specific algorithms varied across job titles, with ML engineers using the most (4) and DBA/Database Engineers using the least (1).

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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.

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Natural Language Processing: How It Works (In Plain English!)

Dataiku

In the prior posts in the How They Work (In Plain English!) series, we went through a high-level overview of machine learning and explored two key categories of supervised learning algorithms ( linear and tree-based models ), two key unsupervised learning techniques ( clustering and dimensionality reduction ), and recommendation engines which can use either supervised or unsupervised learning.

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Doing Power BI the Right Way: 4. Power Query design best practices

Paul Turley

Part of the the series: Doing Power BI the Right Way Although my professional focus is building enterprise-scale BI solutions, I’ve created my share of informal Power BI reports that were put together quickly, with the goal to create something “good enough” rather then achieving perfection.

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ML Model Deployment with Webhosting frameworks

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction With the motivation of award-winning from Analytics Vidhya Blogathon3 continuing. The post ML Model Deployment with Webhosting frameworks appeared first on Analytics Vidhya.

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Data – the Octane Accelerating Intelligent Connected Vehicles

Cloudera

The digital revolution is making a deep impact on the automotive industry, offering practically unlimited possibilities for more efficient, convenient, and safe driving and travel experiences in connected vehicles. This revolution is just beginning to accelerate – in fact, according to a recent Applied Market Research study, the global connected car market was valued at $63.03 billion in 2019, and is projected to reach $225.16 billion by 2027, registering a CAGR of 17.1% from 2020 to 2027.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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New Advances in Graphic Design Software Are Predicated on Machine Learning Algorithms

Smart Data Collective

It wasn’t long ago that we wrote about how big data was setting new standards in the field of web design. More web developers are going to rely heavily on data-driven technology to improve the quality of their work in the near future. The way we do things digitally is only getting more advanced. The more we learn about technology, the more we want to build it and use it across different platforms.

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What’s wrong with the growth mindset? Introducing the discovery mindset.

Jen Stirrup

People like Satya Nadella talk about a ‘growth mindset’ often. So, as a former Microsoft MVP for almost ten years before I handed the Award back , I used to be in many conversations where ‘growth mindset’ was the topic of conversation; the latest kool-aid. In a way, it’s quite a forgiving way of working. When someone makes a mistake, then it is chalked up to the ‘growth mindset’ and the idea is that person moves on from the mistake and everyone forgets a

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Reinforcement Learning, Intuition, and Abductive Reasoning

Dataiku

Reinforcement learning is a technique largely used for training gaming AI — like making a computer win at Go or finish Super Mario Bros levels super fast. That's great, but to some extent, this use case isn’t very exciting or useful. Yet reinforcement learning is also the potential first step toward bringing intuition to AI in business contexts, filling the gap between abductive reasoning and inductive reasoning.

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Project Management Report: Structure, Examples & Free Templates

FineReport

What is Project Management Report? A project management report is a high-level overview of the current status of a project. In another word, it is a formal and regular record of a project state at a given time. Why is project management report critical? To be more explicit about the importance of project management reports, let’s see what they can bring to companies: Monitor what’s working to encourage the explanation and focus Uncover what’s not working to facilitate reflectio

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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.