O'Reilly on Data

MAY 21, 2019

Sometime in Q3/Q4 of 2019, specialized hardware for training deep learning models will become available. For example, a recent DLA Piper survey provides an estimate of GDPR breaches that have been reported to regulators: more than 59,000 personal data breaches as of February, 2019. Source: O'Reilly.

Machine Learning 279

Machine Learning Technology Deep Learning Data Science 279

Rocket-Powered Data Science

MARCH 10, 2020

In 2019, I was asked to write the Foreword for the book “ Graph Algorithms: Practical Examples in Apache Spark and Neo4j “ , by Mark Needham and Amy E. Any interaction between the two ( e.g., a financial transaction in a financial database) would be flagged by the authorities, and the interactions would come under great scrutiny.

Metadata 250

Metadata Machine Learning Prescriptive Analytics ROI 250

Smart Data Collective

JUNE 10, 2019

You won’t be able to analyze it or get any meaningful statistics or reports out of it. You get to see how the different components might have interacted to cause the failure. The post Log Analytics Practices That DevOps Experts Must Embrace In 2019 appeared first on SmartData Collective. Log Analytics is the Future of DevOps.

Analytics 85

Analytics Strategy Statistics Data Processing 85

datapine

DECEMBER 4, 2019

Without a doubt, it’s a big technological advancement, and one of the big statistics buzzwords, but the extent to which it is believed to be already applied is vastly exaggerated. As we mentioned in our business intelligence buzzwords article for 2019 , mobile usage is becoming an increasing factor in BI. Mobile Analytics.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Smart Data Collective

OCTOBER 14, 2019

In September 2019, Google decided to make it’s Differential Privacy Library available as an open-source tool. It allows secure and interactive SQL analytics at the petabyte scale. Sometimes a data project is most effective if people can interact with the data. Plotly Python Open Source Graphing Library.

Data Science 93

Data Science Machine Learning Big Data Interactive 93

CIO Business Intelligence

APRIL 7, 2022

The number of people quitting their jobs has been unprecedented throughout the pandemic, hitting a record high of 48 million people in 2020, up from 42 million in 2019, which was the previous record high. More recently, they’ve been exploring the use of interactive chatbots to check the pulse of employee sentiment at work.

Consulting 145

Consulting Interactive Management Metadata 145

Smart Data Collective

JUNE 15, 2022

trillion in 2019? This information may be used to match a customer’s interests to the interaction your brand provides. This method entails examining patterns and connections uncovered when recording client interactions with your company at various touchpoints. The retail industry is expanding all the time.

Advertising 111

Advertising Sales Cost-Benefit ROI 111

Smart Data Collective

NOVEMBER 25, 2021

First of all, let’s look into some statistics. Data-driven software has evolved to be interactive and intuitive, and portals like YouTube have changed the way learning works—just think about the fact that Stanford offers full-length lectures for free there. It highlights the need for data encryption and other data security measures.

Big Data 122

Big Data Risk Data-driven ROI 122

Sisense

JUNE 30, 2020

The primary objective of data visualization is to clearly communicate what the data says, help explain trends and statistics, and show patterns that would otherwise be impossible to see. Data visualization can either be static or interactive. Her debut novel, The Book of Jeremiah , was published in 2019.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Smart Data Collective

FEBRUARY 25, 2021

billion in 2019. Furthermore, you can also get deep insights into the demographics of your competitors’ followers and their interactions with brands, shares, and likes. We have talked a lot about the benefits of big data in marketing. The global marketing analytics market was worth $2.1 You have launched your startup.

Data-driven 124

Data-driven Marketing Strategy Big Data 124

CIO Business Intelligence

MARCH 15, 2022

Synthetic data can fill in some of the gaps to create realistic, appropriate settings and objects for virtual environments, events, and interactions. For example, in 2019, Norway’s Labour and Welfare Administration created a synthetic version of its entire population. Organizations can do something similar by using synthetic data.

Strategy 145

Strategy Testing Sales Modeling 145

FineReport

DECEMBER 19, 2019

If you want to learn more about self-service BI tools, you can take a look at this review: 5 Most Popular Business Intelligence (BI) Tools in 2019 , to understand your own needs and then choose the tool that is right for you. Of course, other BI tools such as Power BI and Qlikview also have their own advantages. From Google.

Knowledge Discovery 98

Knowledge Discovery Visualization Data mining Reporting 98

Smart Data Collective

DECEMBER 18, 2020

The platform is primarily designed to help businesses and site owners to understand how visitors are interacting with their pages. According to Infosec statistics , cyber-attacks resulting in over $1 million in reported losses has risen exponentially over the past five years – with over 100 cases reported in both of 2018 and 2019.

Analytics 118

Analytics Broadcasting Measurement Data Processing 118

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

On the one hand, basic statistical models (e.g. TF Lattice offers semantic regularizers that can be applied to models of varying complexity, from simple Generalized Additive Models, to flexible fully interacting models called lattices, to deep models that mix in arbitrary TF and Keras layers. monotonicity, diminishing returns).

Machine Learning 111

Machine Learning Deep Learning Modeling Interactive 111

FineReport

DECEMBER 22, 2019

Through functions such as interactive dashboards, multi-dimensional drilling, linkage analysis, and so on, you can perform advanced analysis and keenly discover the connection between data. The ‘data’ part is like the reporting software, which is statistics and presentation of data. . From FineReport. FineReport.

Reporting 90

Reporting OLAP Dashboards Software 90

FineReport

FEBRUARY 28, 2020

It may offer a range of interactivity, so users can find business problems and make data-driven decisions via the reports. Via the interactive analysis such as drill-down, the problems in business can be located. . Some enterprise reporting portal also provides the data analysis such as flexible query and multi-dimensional statistics.

Reporting 96

Reporting Enterprise Visualization Business Intelligence 96

datapine

FEBRUARY 23, 2023

2) Charts And Graphs Categories 3) 20 Different Types Of Graphs And Charts 4) How To Choose The Right Chart Type Data and statistics are all around us. That said, there is still a lack of charting literacy due to the wide range of visuals available to us and the misuse of statistics. Table of Contents 1) What Are Graphs And Charts?

Visualization 177

Visualization Dashboards Sales Measurement 177

IBM Big Data Hub

JANUARY 10, 2023

To make it easy for clients to understand how to utilize this capability within NPS, a demonstration was created that uses flight delay data for all commercial flights from United States airports that was collected by the United States Department of Transportation (Bureau of Transportation Statistics). Prerequisites for the demo.

Data Warehouse 52

Data Warehouse Cost-Benefit Statistics Data Processing 52

Jen Stirrup

SEPTEMBER 19, 2019

The conference is held on November 17-22, 2019 at the Royal Pacific Resort at Universal Orlando in Florida. Essential Business Statistics for Analytics Success – the important statistics that business users use often in business spheres, such as marketing and strategy.

Business Analytics 40

Business Analytics Analytics Statistics Dashboards 40

IBM Big Data Hub

AUGUST 9, 2023

Why phishing simulations are important Recent statistics show phishing threats continue to rise. Since 2019, the number of phishing attacks has grown by 150% percent per year— with the Anti-Phishing Working Group (APWG) reporting an all-time high for phishing in 2022 , logging more than 4.7 million phishing sites.

Testing 73

Testing Measurement Behavioral Analytics Statistics 73

Sisense

DECEMBER 11, 2019

It’s why Sisense, having merged with Periscope Data in May 2019, chose to host this event in Tel Aviv. Citing Tinder as a major example, Kyle explained how it constantly uses data to enhance users’ interactions and calibrate the user experience. What VCs want from startups.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Domino Data Lab

AUGUST 8, 2019

Sci Foo 2019. For example, meeting Carole Goble was one of the top highlights of Sci Foo 2019 for me. Putting discussions about security aside, the statistics competency required to confront fairness and bias issues for machine learning models in production set quite a high bar. Do those concerns sound familiar?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

The Unofficial Google Data Science Blog

APRIL 23, 2024

If $Y$ at that point is (statistically and practically) significantly better than our current operating point, and that point is deemed acceptable, we update the system parameters to this better value. However, if we experiment with both parameters at the same time we will learn something about interactions between these system parameters.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

InsightOut

OCTOBER 15, 2021

The power to access, analyze and present data sets from complex statistical programs lay only within their restricted reach. Gartnerxe2x80x99s Fifth Annual CDO Survey (2019) indicated that only 23% of respondents defined and tracked metrics to measure the value delivered by data and analytics to stakeholder outcomes.

Dashboards 52

Dashboards Key Performance Indicator Digital Transformation Metrics 52

Sisense

AUGUST 30, 2021

Matching your products’ look and feel should be a basic user requirement, but the experience of interacting with the data has to also make sense for your brand and your users. Rachel Burstyn has been a part of the Sisense content team since 2019. Auto sales, by the numbers. What can our car-buying habits tell us about ourselves?

Analytics 52

Analytics Sales Reporting Metrics 52

Business Over Broadway

MAY 22, 2019

How employees can drive transformation and emerging technology adoption: Both are data-heavy endeavors; We know that statistics/math knowledge is related to data science project success. So, become data literate. Juniper Research also forecasts that chat bots will save businesses about $8 billion annually by 2022.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

Andrew White

JANUARY 11, 2021

But we are seeing increasing data suggesting that broad and bland data literacy programs, for example statistics certifying all employees of a firm, do not actually lead to the desired change. We do have good examples and bad examples. Storytelling is a nice one to use early on to test the approach.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Domino Data Lab

MAY 8, 2019

They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have. Use of influence functions goes back to the 1970s in robust statistics. Jupyter Book: Interactive books running in the cloud ” by Chris Holdgraf (2019-03-27).

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Corinium

APRIL 25, 2019

For example auto insurance companies offering to capture real-time driving statistics from policy-holders’ cars to encourage and reward safe driving. What are you most looking forward to about CDAOI Insurance 2019? And more recently, we have also seen innovation with IOT (Internet Of Things).

Insurance 150

Insurance Risk IoT Data-driven 150

O'Reilly on Data

JANUARY 25, 2021

We’ve explored usage across all publishing partners and learning modes, from live training courses and online events to interactive functionality provided by Katacoda and Jupyter notebooks. Year-over-year (YOY) growth compares January through September 2020 with the same months of 2019. Enough preliminaries. O’Reilly Online Learning.

Machine Learning 364

Machine Learning Software Testing Technology 364

Jet Global

MAY 1, 2023

As rich, data-driven user experiences are increasingly intertwined with our daily lives, end users are demanding new standards for how they interact with their business data. Embedded Analytics Drive Successful Consumer Applications Consumer web applications have transformed how people use and interact with data.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Sisense

JULY 27, 2021

America’s pastime has been all about data since the first box scores were written down, but modern analytics are changing how pitchers and hitters interact. The box score was developed by sportswriter Henry Chadwick in 1858, and over 150 years later, statistics, data, and analysis have revolutionized the sport.

Analytics 52

Analytics Data-driven Statistics Measurement 52

The Unofficial Google Data Science Blog

MARCH 24, 2025

This role has several explicit requirements including statistical expertise, programming/ML, communication, data analysis/intuition. Focusing narrowly on the first of these, the description currently states that candidates will bring scientific rigor and statistical methods to the challenges of product creation.

Statistics 58

Statistics Testing Interactive Sales 58