Smart Data Collective

AUGUST 16, 2021

Managing data is a challenge. It’s not hard to collect data, but most companies collect data in disparate locations and across multiple applications that don’t talk to each other. With this model, multiple reports are required to crunch data from multiple sources. That requires manually entering data into yet another application to generate a final report.

Management 120

Management Sales Data-driven Reporting 120

Analytics Vidhya

AUGUST 16, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction: For the last couple of decades, Python has created a. The post Differences between Python 3.10 and Python 3.9 which you need to know ! appeared first on Analytics Vidhya.

Data Science 306

Data Science Publishing Analytics 306

Smart Data Collective

AUGUST 16, 2021

Analytics technology is very important for online businesses. You need to pay close attention to analytics data on various KPIs to determine whether your strategy is working well and what tweaks need to be made. As an eCommerce entrepreneur, you have the benefit of being able to access a plethora of data at any time about multiple areas of your business and how consumers interact with it.

Metrics 131

Metrics Analytics Cost-Benefit Sales 131

Analytics Vidhya

AUGUST 16, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Let’s start with the basics… What are the objectives an ML. The post A Quick Guide to Error Analysis for Machine Learning Classification Models appeared first on Analytics Vidhya.

Machine Learning 296

Machine Learning Modeling Data Science Publishing 296

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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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Smart Data Collective

AUGUST 16, 2021

The market for big data is growing rapidly. According to a recent report, companies around the world are expected to spend $50.1 billion on big data this year. As the demand for big data continues to grow, the need for software developers that are knowledgeable about data science will rise as well. The biggest question many software developers with a background in data science are asking is what their earning potential is.

Software 112

Software Consulting Data Science Big Data 112

Analytics Vidhya

AUGUST 16, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Linear Regression Linear Regression is a supervised learning technique that involves. The post A Walk-through of Regression Analysis Using Artificial Neural Networks in Tensorflow appeared first on Analytics Vidhya.

Data Science 271

Data Science Publishing Analytics Structured Data 271

DataRobot

AUGUST 16, 2021

As artificial intelligence secures its position in the public sphere, consumers expect companies to use the maturing technology ethically and responsibly. Seventy percent of customers expect organizations to provide transparent and fair AI experiences, according to a recent Capgemini report. But as the technology’s popularity grows, a number of concerning examples have emerged of AI models operating with algorithmic bias.

Metrics 98

Metrics Modeling Machine Learning Data Collection 98

Cloudera

AUGUST 16, 2021

We just announced Cloudera DataFlow for the Public Cloud (CDF-PC), the first cloud-native runtime for Apache NiFi data flows. CDF-PC enables Apache NiFi users to run their existing data flows on a managed, auto-scaling platform with a streamlined way to deploy NiFi data flows and a central monitoring dashboard making it easier than ever before to operate NiFi data flows at scale in the public cloud.

Dashboards 117

Dashboards Metrics KPI Data-driven 117

Sisense

AUGUST 16, 2021

Blog. Starting or running a business today means one thing: the cloud. New software companies are born, live, and grow on the cloud, their cloud data teams never handling a single server. Every other type of company is quickly transforming into a data company, whether it knows it or not, and the rapidly growing volumes of information organizations deal with have to get stored someplace.

Data Warehouse 52

Data Warehouse Analytics Cost-Benefit Visualization 52

Cloudera

AUGUST 16, 2021

Are you ready to turbo-charge your data flows on the cloud for maximum speed and efficiency? We are excited to announce the general availability of Cloudera DataFlow for the Public Cloud (CDF-PC) – a brand new experience on the Cloudera Data Platform (CDP) to address some of the key operational and monitoring challenges of standard Apache NiFi clusters that are overloaded with high-performant flows.

Dashboards 106

Dashboards KPI Metrics Cost-Benefit 106

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.

Management

CDW Research Hub

AUGUST 16, 2021

Nearly 60 years after it was authored by Intel co-founder Gordon Moore, Moore’s law is still relevant even beyond the world of semiconductors. You’re probably already familiar with his observation from 1965, regarding the empirical relationship of experience to gains in production. It stated that the number of transistors on an integrated circuit would double every two years, while the cost of the computing device would decrease.

Internet of Things 52

Internet of Things IoT Software Strategy 52