DataRobot
OCTOBER 7, 2021
Trust in AI must be earned. Ideally, business users or consumers that interact with a model and its output displayed in a dashboard should not need to question its authenticity. Unfortunately, we aren’t there yet, and it’s because there are different components to trust, some we have yet to address. One of these components is empathy. Many individuals do not fully trust AI due to the lack of empathy that is instilled into models.
Analytics Vidhya
OCTOBER 3, 2021
This article was published as a part of the Data Science Blogathon Overview Say, you were setting up a gift shop and your supplier dumps all the toys that you asked for in a room. It’s going to look something like this. Total chaos! Now picture yourself standing in front of this huge pile of toys […]. The post A Beginner’s Guide to Feature Engineering – Everything You Need to Know!
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David Menninger's Analyst Perspectives
OCTOBER 5, 2021
Alteryx is a data analytics software company that offers data preparation and analytics tools to simplify and automate data wrangling, data cleaning and modeling processes, enabling line-of-business personnel to quickly access, manipulate, analyze and output data. The platform features tools to run a variety of analytic functions such as diagnostic, predictive, prescriptive and geospatial analytics in a unified platform, and can connect to various data warehouses, cloud applications, spreadsheet
DataKitchen
OCTOBER 7, 2021
The post How Predictive and Prescriptive Analytics Improve the Call Center Experience first appeared on DataKitchen.
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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?
BA Learnings
OCTOBER 3, 2021
What Is BPMN? Business process modeling notation, or BPMN, is the way BPM professionals communicate the design of a specific process, be it simple or exceedingly complex. There are various steps in any process that may come up, and notation helps a business process management (BPM) professional identify these at a glance, and to describe what needs to be done at any given point during the process based on element types.
Analytics Vidhya
OCTOBER 7, 2021
This article was published as a part of the Data Science Blogathon Overview Data provides us with the power to analyze and forecast the events of the future. With each day, more and more companies are adopting data science techniques like predictive forecasting, clustering, and so on. While it’s very intriguing to keep learning about complex […].
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
DataKitchen
OCTOBER 8, 2021
The post DataOps Lowers The Cost Of Asking Analytic Questions first appeared on DataKitchen.
Juice Analytics
OCTOBER 5, 2021
We’ve collected these high-quality examples of charts and graphs to help you learn from the best. For each example, we point out some of the smart design decisions that make them effective in communicating the data. There is a lot of variety in styles and structures, but you may notice common elements across these well-designed data visualizations. For example, you’ll see… Thoughtful use of color; Few distracting elements that undermine the message; Labels and legends that highlight how to inter
Analytics Vidhya
OCTOBER 4, 2021
This article was published as a part of the Data Science Blogathon What is CNN? Convolutional Neural Network is a type of deep learning neural network that is artificial. It is employed in computer vision and image recognition. This procedure includes the following steps: OCR and image recognition Detecting objects in self-driving cars Social media face […].
Dataiku
OCTOBER 4, 2021
Using RNNs & DeepAR Models to Find Out. Time series forecasting use cases are certainly the most common time series use cases, as they can be found in all types of industries and in various contexts. Whether it is forecasting future sales to optimize inventory, predicting energy consumption to adapt production levels, or estimating the number of airline passengers to ensure high-quality services, time is a key variable.
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📌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.
DataKitchen
OCTOBER 6, 2021
The post Why Enterprise AI Needs Human Intervention first appeared on DataKitchen.
Smart Data Collective
OCTOBER 5, 2021
Analytics technology has been invaluable to modern marketing. The market for web analytics is projected to be worth $9.11 billion by 2025. The utilization of analytics and big data in the marketing industry has played a massive role in this robust growth. One of the most important benefits of analytics in marketing is with PPC marketing. More companies are using analytics to expand the reach of their PPC campaigns and improve their ROI.
Analytics Vidhya
OCTOBER 2, 2021
This article was published as a part of the Data Science Blogathon Overview In the current scenario, the Data science field is dominated by Python/R but there is another competition added not so long ago, Julia! which we will be exploring in this guide. The famous quote (motto) of Julia is – Looks like Python, runs […]. The post Introduction to Deep Learning in Julia appeared first on Analytics Vidhya.
Cloudera
OCTOBER 7, 2021
October sees the launch of Partner Appreciation Month and during the next few weeks we will be sharing success stories, updates and interviews with our valued partners across the world. . We’re on a mission to make data and analytics easy and accessible, for everyone, and the hybrid data cloud is how we’ll get there. Today’s world is a hybrid world—there’s hybrid data, hybrid infrastructure, hybrid work—and leading businesses are embracing these changes, unafraid to transform their processes and
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.
DataKitchen
OCTOBER 5, 2021
A DataOps Engineer owns the assembly line that’s used to build a data and analytic product. Data operations (or data production) is a series of pipeline procedures that take raw data, progress through a series of processing and transformation steps, and output finished products in the form of dashboards, predictions, data warehouses or whatever the business requires.
Smart Data Collective
OCTOBER 8, 2021
Learn how genetic algorithms and machine learning can help hedge fund organizations manage a business. As well as bolster investor confidence and improve profitability. As a hedge fund shareholder, you certainly want the best for your organization, right? For instance, you want to generate effective AUM, NAV, and share value reports to improve investor confidence as a manager.
Analytics Vidhya
OCTOBER 2, 2021
This article was published as a part of the Data Science Blogathon Overview This comprehensive guide will instigate you to the world of Market Basket Analysis along with an implementation using Python on a dataset. Market Basket Analysis will help you to design different store Layouts. Introduction Nowadays Machine Learning is helping the Retail Industry in […].
Dataiku
OCTOBER 6, 2021
Collaboration has always been an integral element of successful data science, but the concept moved into the spotlight as the global health crisis swiftly shifted the dynamics of data teams everywhere — in the blink of an eye, they were forced to navigate their data science projects (both those that were in progress and that hadn’t begun yet) in a remote world.
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.
FineReport
OCTOBER 8, 2021
There are three types of dashboards: operational, strategic, and analytical. We have discussed operational dashboards before. Today, I’m going to share more detailed information on strategic dashboards with you. This post will cover the definition, importance, and designing guide on strategic dashboards. Strategic dashboard. What is a strategic dashboard?
Smart Data Collective
OCTOBER 4, 2021
There is no question that big data is very important for many businesses. Unfortunately, big data is only as useful as it is accurate. Data quality issues can cause serious problems in your big data strategy. Customers won’t always directly tell you the information your company needs to provide better products or services. However, their conversations on social media, most frequently posted topics and words, and responses to survey questions can reveal information essential to your company’s per
Analytics Vidhya
OCTOBER 8, 2021
We live in an era where choices are just endless. Especially with respect to Education! With a plethora of data science courses online, it is difficult to identify where to begin your journey from. How about beginning your MACHINE LEARNING Journey FREE of charge? Since its inception, Analytics Vidhya has been striving hard to explain […]. The post Would you like to start your Machine Learning journey for FREE?
Dataiku
OCTOBER 7, 2021
The concept of AI in the enterprise has been around for a bit now, and the way different organizations have handled the implementation of data structures and management, as well as new evolutions in AI technology itself, varies greatly. Whether organizations are just now jumping into the game, or if they have benched their programs after finding themselves lost and confused in devising a strategy, many could benefit from studying an application approach such as NXP’s.
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.
Alation
OCTOBER 7, 2021
Jason McVay is a data scientist at Indigo Ag, an agriculture-tech company headquartered in Massachusetts. He has an education in environmental science and geography, with a Master’s degree in paleoecology. In this essay, Jason reflects on the value of thinking spatially about data, showing how his experience as a graduate student influences his role as a data scientist today.
Smart Data Collective
OCTOBER 7, 2021
Big data technology has been the basis for the Fintech industry. There is no disputing the major benefits that big data has created for the financial sector. However, there are also new challenges that have arisen as big data has become more widely available in Fintech. One of the biggest changes is new regulations. Fintech businesses must make sure that any data scientists working for them are licensed and trained to handle tasks with the utmost sensitivity.
Analytics Vidhya
OCTOBER 7, 2021
This article was published as a part of the Data Science Blogathon Overview Deep learning is the subfield of machine learning which is used to perform complex tasks such as speech recognition, text classification, etc. A deep learning model consists of activation function, input, output, hidden layers, loss function, etc. Any deep learning model tries to […].
Teradata
OCTOBER 4, 2021
An interdisciplinary team from Volkswagen, AWS and Teradata have created an intelligent solution that enables greater transparency and efficiency in car body construction. Find out more.
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.
Octopai
OCTOBER 5, 2021
Finally. FINALLY. Your CFO finally gave the okay to purchase data catalog software. Wa-hoo! When you’ve cleaned up the confetti and the cocktail glasses, it’s time to get down to business. This is a major investment. How will you choose the best data catalog software for your company? Lest the proliferation of data catalog features and options leave you groping for someone’s leftover margarita, here’s a guide with the questions to ask to cut through the overwhelm and reach clarity. .
Smart Data Collective
OCTOBER 5, 2021
There is no denying the fact that big data has become a critical asset to countless organizations all over the world. Many companies are storing data internally, which means that they have to be responsible for maintaining their own standards. Unfortunately, managing your own data server can be overwhelming. You have to make sure that your data is going to be secure from breaches and preserved from potential data outages.
Analytics Vidhya
OCTOBER 5, 2021
This article was published as a part of the Data Science Blogathon Overview Reinforcement learning is not just used for Robotics but now even in Data Science It has tons of applications and we will cover some of them in this guide. This comprehensive guide will introduce you to RL theory and implementation, all in Python […]. The post A Comprehensive Guide to Reinforcement Learning appeared first on Analytics Vidhya.
Cloudera
OCTOBER 5, 2021
Cloudera Data Platform (CDP) supports access controls on tables and columns, as well as on files and directories via Apache Ranger since its first release. It is common to have different workloads using the same data – some require authorizations at the table level (Apache Hive queries) and others at the underlying files (Apache Spark jobs). Unfortunately, in such instances you would have to create and maintain separate Ranger policies for both Hive and HDFS, that correspond to each othe
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.
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