Sat.Feb 20, 2021 - Fri.Feb 26, 2021

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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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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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6 Big Data Mistakes You Must Avoid At All Costs

Smart Data Collective

Marketers around the world are embracing data-driven marketing to drive better results from their campaigns. However, while doing so, you need to work with a lot of data and this could lead to some big data mistakes. But why use data-driven marketing in the first place? When you collect data about your audience and campaigns, you’ll be better placed to understand what works for them and what doesn’t.

Big Data 117
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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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Basics of Natural Language Processing(NLP) for Absolute Beginners

Analytics Vidhya

ArticleVideo Book Introduction According to industry estimates, only 21% of the available data is present in a structured form. Data is being generated as. The post Basics of Natural Language Processing(NLP) for Absolute Beginners appeared first on Analytics Vidhya.

Analytics 392
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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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#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.

Testing 111
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Introduction to Reinforcement Learning for Beginners

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction Reinforcement Learning, seems intriguing, right? Here in this article, we. The post Introduction to Reinforcement Learning for Beginners appeared first on Analytics Vidhya.

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Big Data and the Use of Satellite Imagery

Smart Data Collective

The scope of satellite big data applications has dramatically increased lately. Satellite companies offer commercial high-resolution images, and computer companies provide mighty cloud facilities to process them. Basically, while one company retrieves images, the other one ensures their computing. Spatial data helps almost in any niche of human activities.

Big Data 106
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Using Data Lineage in a Hybrid BI Environment

Octopai

If only fairy godmothers came around offering to turn our BI legacy systems into modern, cloud-based ones with the touch of a wand and a “Bibbidi-bobbidi-boo!”. Alas, it’s more likely that you’ll turn into a pumpkin. BI modernization is a bumpy road. Even once your company decides to move in that direction, your legacy systems can’t just magically disappear or migrate themselves.

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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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Black History Month 2021: Be the light

Cloudera

Be the light – Accepting the call to become the change we seek. As Black History Month comes to a close, global communities and companies alike are left reflecting on recent historical events with shock, awe and a commitment to drive change. We find ourselves faced with the unhealed wounds of our past, a defining moment for our future and an opportunity to become the change we seek as citizens and professionals. .

Risk 102
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Machine Learning 101: Decision Tree Algorithm for Classification

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Overview Learn about the decision tree algorithm in machine learning, The post Machine Learning 101: Decision Tree Algorithm for Classification appeared first on Analytics Vidhya.

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How Startups Can Formulate Data-Driven Marketing Strategies Using AI

Smart Data Collective

We have talked a lot about the benefits of big data in marketing. The global marketing analytics market was worth $2.1 billion in 2019. This figure is expected to rise sharply in the future as more companies are likely to discover the benefits data-driven marketing affords. Understanding the Benefits of Data-Driven Marketing. You have launched your startup.

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How to Use Automation to Improve Your Financial Consolidation Process

Jet Global

Businesses are under intense pressure to manage the financial consolidation process in a timely and efficient manner. For publicly traded companies, this is particularly important, and yet the task can be challenging even with many established ERP products. Decision makers increasingly require financial statements on a more regular basis to gain better business visibility, as well as meet external reporting requirements.

Finance 97
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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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Inside 2021 ML Trends: Reinforcement Learning and AutoML

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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Quick Notes on the Basics of Python and the NumPy Library

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. “Champions are brilliant at the. The post Quick Notes on the Basics of Python and the NumPy Library appeared first on Analytics Vidhya.

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A Surging Trend: 5 Most Promising Cryptocurrencies Made Possible through Blockchain

Smart Data Collective

Blockchain has been central to the growth of the cryptocurrency sector. Blockchain technology was developed to create bitcoin, but it has been vital to other digital currencies as well. Are you looking forward to investing in crypto this year and making some passive income? With over 7,000 digital coins to choose from, how do you tell which is the best cryptocurrency?

Marketing 101
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How to Write Analytical Report Effectively? Free Template Examples

FineReport

Most projects at work involve lengthy and jumbled data, wherefore well-structured analytical reports are particularly important. This article shows you all the major topics that you care about in analytical reporting: What is Analytical Report? Analysis Report Examples How to Write Analytical Reports Effectively? What is Analytical Report? An analytical report is a type of data analysis report that provides information, analysis, and opinions on particular business processes issues.

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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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Paginated Reports eBook Finally Released

Paul Turley

At last, the second edition of “SQL Server Report Recipes” written by Paul Turley, Robert Bruckner and a host of contributors; is being released, a few recipes at a time. This time around, it will be a free book published through my blog and perhaps other sources.

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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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5 Reasons Data-Driven Startups Should Be Using React JS

Smart Data Collective

Data-driven businesses are finding a number of great strategies that have proven to be remarkably effective. There are a number of tools that use big data to help them improve their business models. A lightweight but powerful, data-driven tool for creating user interfaces, React JS is an open-source JavaScript library originally developed by an employee at Facebook.

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Bringing the Office of Finance Into the Age of AI With Dataiku

Dataiku

When choosing a data science use case , it’s important to identify the potential business value (i.e., who will the project benefit, how will it change their current processes and habits), the level of necessary effort, and the likelihood of success (how much risk is involved). No matter the industry, often a great place to start for AI use cases is the office of finance within an organization, as the teams within that group work with a significant amount of data and do a lot of spreadsheet-base

Finance 93
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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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PODCAST: Making AI Real – Episode 3: Empowering HR Organizations with Automated Business Surveillance Systems

bridgei2i

PODCAST: Making AI Real. Episode 3: Empowering HR Organizations with Automated Business Surveillance Systems. Listening time: 11 minutes. Empowering HR Organizations with Automated Business Surveillance Systems. In our latest episode of the AI to Impact podcast, host Monica Gupta – Manager of AI Actions, meets with Sunil Mudgal – Advisor, Talent Analytics, BRIDGEi2i, to discuss the benefits of adopting AI-powered surveillance systems in HR organizations.

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Visualization in Time Series using Heatmaps in Python

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction Time series is a series of data that are gathered. The post Visualization in Time Series using Heatmaps in Python appeared first on Analytics Vidhya.

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Five Proven Lead Generation Strategies to Merge with Data Analytics

Smart Data Collective

Data analytics is very important to the future of marketing. A growing number of marketers are using data analytics technology to optimize their lead generation models. One of the most important benefits of using data analytics is that it can improve AI algorithms. This is important, since AI is integral to modern lead generation. But what lead generation strategies can you use in conjunction with your data analytics tools.

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Top Trends in Data and Analytics for 2021

Andrew White

The D&A trends for 2021 covered in this research can help organizations respond to change, uncertainty and the opportunities they bring over the next three years. D&A leaders must examine how to turn these trends into mission-critical investments that accelerate their capabilities to anticipate, shift and respond. Engineering Decision Intelligence.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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Building loyalty with data and analytics

Cloudera

In 1969, my aunt graduated from university and joined IBM, the dominant player in the nascent tech industry at the time. She remained at “Big Blue” where she met and married my uncle, and rose up through the management ranks, until their joint semi-retirement exactly 30 years later. She recently told me, “the only way you could get fired in those days was to murder someone, embezzle or steal”.

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How to Split a Decision Tree – The Pursuit to Achieve Pure Nodes

Analytics Vidhya

ArticleVideo Book Introduction Decision Trees are probably one of the common machine learning algorithms and this is something every Data Science beginner should know. The post How to Split a Decision Tree – The Pursuit to Achieve Pure Nodes appeared first on Analytics Vidhya.

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New Deep Learning Systems Profoundly Disrupt Fleet Management Operations

Smart Data Collective

Deep learning tech is influencing and enhancing many industries, promising to provide insights into key business operations which were not previously possible to unearth. Transportation and logistics is a prime example. The transportation analytics industry is projected to be worth $27 billion by 2026. One of the biggest applications of this technology lies with using deep learning to streamline fleet management.

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How to Build Machine Learning Models

Dataiku

Machine learning has become more and more accessible in the last few years. Thanks to advancements in automated machine learning (AutoML), collaborative AI , and machine learning platforms (like Dataiku ), the use of data — including for predictive modeling — across people of all different job types is on the rise. You don’t have to be an expert coder, data scientist, or engineer to master machine learning anymore.

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Data Modeling for Direct Mail: Boosting Multi-Channel Reach and Response

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.