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.

Data Lake 295
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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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15 Supply Chain Metrics & KPIs You Need For A Successful Business

datapine

“It’s not the organizations that are competing. It’s the supply chains that are competing.” – Wael Safwat, SCMAO. The supply chain is essentially the backbone of any business: a living ecosystem that ensures the smooth, efficient, and consistent delivery of a product or service from a supplier to a customer. And if your supply chain is inefficient, ineffective, or fragmented, it could seriously hinder your commercial prospects.

Metrics 260
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RPA and IPA – Their Similarities are Different, but Their Rapid Growth Trajectories are the Same

Rocket-Powered Data Science

When I was growing up, friends at school would occasionally ask me if my older brother and I were twins. We were not, though we looked twin-like! As I grew tired of answering that question, one day I decided to give a more thoughtful answer to the question (beyond a simple “No”). I replied: “Yes, we are twins. We were born 20 months apart!” My response caused the questioner to pause and think about what I said, and perhaps reframe their own thinking.

ROI 234

More Trending

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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.

Marketing 264
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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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Explore The Power & Potential Of Professional Social Media Dashboards

datapine

Gathering data and information from one or multiple platforms and creating a comprehensive social media dashboard is equally important as creating the social content itself. Social media has become one of the most important channels to engage with potential audiences, and that’s not a surprise considering the power and potential of creating content to attract people, target the exact audience you need, and deliver value to your bottom line.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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How To: Be A Good Employee, Be A Great Boss | #winningcareers

Occam's Razor

Like many of you, I am both an employee and a people leader. At different points of the day, sometimes from one minute to the next, I have to switch gears so that I can be fully present as both a good employee and a good people leader. This constant quest for excellence, from one email to the next, from one meeting to the next as context changes is… taxing.

Strategy 134
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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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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.

Marketing 214
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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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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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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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How BusinessObjects Can Re-ignite SAP’s BI Strategy Again

Paul Blogs on BI

It’s been over 13 years since SAP acquired BusinessObjects and really stepped into the world of Business Intelligence. During the first few years after the purchase, SAP sold a ton of BusinessObjects licenses and, for at least one or two years, they sold more BusinessObjects licenses than they did SAP ERP licenses. It was a huge success both financially and directionally for SAP.

Strategy 141
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6 Differences Between Data Exploration and Data Presentation

Juice Analytics

Let’s start by defining our terms: Data exploration means the deep-dive analysis of data in search of new insights. Data presentation means the delivery of data insights to an audience in a form that makes clear the implications. Your toolbox for data exploration tools is flush with technology solutions such as Tableau, PowerBI, Looker, and Qlik. "Visual analytics" tools give analysts a super-powered version of Excel for dicing data to facilitate the search for valuable insights.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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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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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.

Modeling 130
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Big Data Analytics Has Potential to Massively Disrupt the Stock Market

Smart Data Collective

Big data is changing the nature of the financial industry in countless ways. The market for data analytics in the banking industry alone is expected to be worth $5.4 billion by 2026. However, the impact of big data on the stock market is likely to be even greater. Automated trading software is fast changing the approach a lot of individuals take to investing.

Big Data 140
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Get More out Your CRM: Tips for Better Sales Forecasting

Jedox

The need to understand how to best manage the relationships a business has with its customers is not a new concept. Managing basic information such as who your customers are, where they are located, and what they want to buy was around long before the advent of desktop computers and the Internet. However, forecasting or predicting how much your customers want to buy or how well a business would perform in the future was much more difficult to achieve way back then.

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Machine Learning Adoption Rates Around the World

Business Over Broadway

A worldwide survey of data professionals showed that adoption of machine learning methods in their company is 45%. Twenty-one percent of survey respondents said their employer is exploring ML methods. ML adoption rates varied by country with Israel (63%), Netherlands (57%) and the United States (56%) showing the highest and Egypt (31%), Morocco (24%) and Nigeria (23%) showing the lowest adoption rate.

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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.

Modeling 400
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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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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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Enterprise-class NLP with spaCy v3

Domino Data Lab

spaCy is a python library that provides capabilities to conduct advanced natural language processing analysis and build models that can underpin document analysis, chatbot capabilities, and all other forms of text analysis. The spaCy library is available under the MIT license and is developed primarily by Matthew Honnibal and Ines Montani from E xplosion.AI.

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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.

Big Data 126
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Next Stop – Building a Data Pipeline from Edge to Insight

Cloudera

This is part 2 in this blog series. You can read part 1, here: Digital Transformation is a Data Journey From Edge to Insight. This blog series follows the manufacturing, operations and sales data for a connected vehicle manufacturer as the data goes through stages and transformations typically experienced in a large manufacturing company on the leading edge of current technology.

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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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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.