Thu.Oct 07, 2021

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NXP: Building a Data Organization That Performs & Elevates the Individual

Dataiku

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.

Strategy 104
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End-to-End Introduction to Handling Missing Values

Analytics Vidhya

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 […].

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Data Virtualization Brings Data Together Quickly and Easily

David Menninger's Analyst Perspectives

The technology industry throws around a lot of similar terms with different meanings as well as entirely different terms with similar meanings. In this post, I don’t want to debate the meanings and origins of different terms; rather, I’d like to highlight a technology weapon that you should have in your data management arsenal. We currently refer to this technology as data virtualization.

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A Comprehensive Guide on Deep Learning Optimizers

Analytics Vidhya

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 […].

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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How Predictive and Prescriptive Analytics Improve the Call Center Experience

DataKitchen

The post How Predictive and Prescriptive Analytics Improve the Call Center Experience first appeared on DataKitchen.

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A Complete Guide on Machine Learning Model Deployment Using Heroku

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview of Model Deployment Using Heroku Image 1 One of the most prevalent misunderstandings and mistakes for a failed ML project is spending a significant amount of time optimizing the ML model. Instead, teams that have completed a successful machine learning project devote time […].

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Introducing New Enhancements to the Cloudera Connect Partner Program

Cloudera

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

Sales 100
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Everything is Connected, Everything Changes

Alation

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.

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Combining Empathy and AI

DataRobot

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.

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insightsoftware acquires Exago, Bolstering Market Leadership in Embedded Analytics

Jet Global

The acquisition of this embedded BI solution provider further empowers software teams to deliver compelling self-service analytics to their users. RALEIGH, N.C. – October 7, 2021 – insightsoftware, a global provider of enterprise software solutions for the Office of the CFO, announced today it has acquired Exago, a premier embedded BI solution providing leading companies with seamless integration for customer-facing web applications.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Florence Nightingale: Pioneer of Data Visualization

DataCamp

Did you know that data visualization has origins in military healthcare reforms? In this blog post, we discuss how the famous nurse Florence Nightingale used charts to demonstrate her life-saving work to her target audience.

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Rapidly Enable Tangible Business Value through Data Virtualization (Data minimization)

Data Virtualization

Uber owns no fleet, and Airbnb owns no real estate. These and other companies have grown very quickly, with relatively little investment, by establishing thin customer-interface layers above complex systems of goods or services owned by third parties. Point is. The post Rapidly Enable Tangible Business Value through Data Virtualization (Data minimization) appeared first on Data Virtualization blog.

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Good customer outcomes may soon be regulated, and service providers will need to be ready

Data Insight

By Neil Bryant, Head of Analytics, Data Insight.

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How Cloudera Data Flow Enables Successful Data Mesh Architectures

Cloudera

Introduction. In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. Within the context of a data mesh architecture, I will present industry settings / use cases where the particular architecture is relevant and highlight the business value that it delivers against business and technology areas.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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30 Best Accounting KPIs and Metric Examples for 2021 Reporting

Jet Global

What is an Accounting KPI? An accounting Key Performance Indicator (KPI) or metric is an explicitly defined and quantifiable measure that the accounting industry uses to gauge its overall long-term performance. KPIs for accounting departments differ based on the type of accounting function they perform. KPIs for Accounting Departments–Tailored for Your Organization.

Metrics 110