O'Reilly on Data

FEBRUARY 11, 2020

Role-wise, the survey sample is dominated by (1) practitioners who work with data and/or code and (2) the people who directly manage them—most of whom, notionally, also have backgrounds in data and/or code. His insight was a corrective to the collective bias of the Army’s Statistical Research Group (SRG).

Data Quality 363

Data Quality Metadata Data Governance Publishing 363

datapine

DECEMBER 4, 2019

That’s why we have prepared a list of the most prominent business intelligence buzzwords that will dominate in 2020. Exclusive Bonus Content: Get Our 2020 BI Buzzwords Handbook! We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Smart Data Collective

MARCH 17, 2020

It is understandable that many computer science majors are considering pursuing careers in this evolving field. Is the Booming Big Data Field Right for You? Everyone has heard about Data Science in 2020. The concept of data science was first introduced in 2001, but it started gaining popularity in 2010.

Data Science 119

Data Science Big Data Machine Learning Statistics 119

Business Over Broadway

MARCH 8, 2021

Ways of improving gender diversity in the field of data science are offered. US Labor Force Statistics for Selected Occupations. In 2020, women made up 30% of the employees at Microsoft , 32% at Google , 45% at Amazon and 37% at Facebook. How does gender diversity look in the data science world?

Data Science 138

Data Science Machine Learning Statistics Reporting 138

Smart Data Collective

APRIL 14, 2020

The future of data science jobs continues to be brighter than ever in 2020. According to Glassdoor’s list of Best Jobs in America for the past four years, “data scientist” topped in terms of job demand, job satisfaction, and pay with an average base salary of more than $100,000 per year. Level of Education.

Data Science 113

Data Science Statistics IT Big Data 113

Domino Data Lab

JULY 28, 2021

Data science is an exciting, interdisciplinary field that is revolutionizing the way companies approach every facet of their business. Data Science — A Venn Diagram of Skills. Data science encapsulates both old and new, traditional and cutting-edge. 3 Components of Data Science Skills.

Data Science 110

Data Science Statistics Predictive Analytics Recreation/Entertainment 110

Data Science 101

DECEMBER 11, 2019

This weeks guest post comes from KDD (Knowledge Discovery and Data Mining). Every year they host an excellent and influential conference focusing on many areas of data science. Honestly, KDD has been promoting data science way before data science was even cool. 22-27, 2020. 22-27, 2020.

KDD 81

KDD Knowledge Discovery Data mining Data Science 81

Smart Data Collective

OCTOBER 14, 2019

Statistics, qualitative analysis and quant are some of the backbones of big data. Knowledge of data analytics tools like SAS, R and SPSS can also help software developers find competitive and lucrative careers. These can help a developer find a career in the data science field. Quantitative Analysis.

Big Data 99

Big Data Software Data mining Prescriptive Analytics 99

CIO Business Intelligence

MARCH 21, 2022

What is a data scientist? Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Data scientist salary. Data scientist skills.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Data Science 137

Business Over Broadway

JANUARY 19, 2021

Nearly half of data professionals surveyed in Kaggle’s 2020 Data Science and Machine Learning Survey said they do not use BI tools. The top tool used by data professionals to analyze data are local development environments (48%), followed by basic statistical software (30%).

Business Intelligence 85

Business Intelligence Analytics Statistics Machine Learning 85

Jen Stirrup

JUNE 16, 2020

I’m excited to announce that I’m speaking on various topics in July 2020 and here is a roundup. I am speaking on Leadership, Artificial Intelligence and Data Visualisation. Convincing Your HiPPo: Business Statistics for AI and Data Science ( Wednesday 15th July at 12.30pm EST, 5.30pm BST ).

Statistics 65

Statistics Visualization Machine Learning Business Intelligence 65

Data Science 101

JANUARY 15, 2020

Let the number of literate people increased by 5000 in 2010-2020 whereas 3500 in 2000-2010. But we also note that the population growth in 2010-2020 is 3 times the other decade. Statistics Essential for Dummies by D. Rumsey Statistical Reasoning Course by Stanford Ligunita Introduction to the Practice of Statistics by D.

Experimentation 96

Experimentation Statistics Measurement Testing 96

Sisense

DECEMBER 3, 2019

Sisense Forecast is an advanced AI-powered forecasting option that offers unique capabilities to derive new value from data without the need for data science expertise. With a single click, an ensemble of univariate forecast models run against your data. Sneak peek: 2020 and beyond. Use AI to drive ROI.

Analytics 90

Analytics Data Warehouse Digital Transformation Forecasting 90

Business Over Broadway

FEBRUARY 14, 2021

Kaggle conducted a worldwide survey in October 2020 ( 2020 Kaggle Machine Learning and Data Science Survey ), asking over 20,000 data professionals about the work they do, including the ML algorithms they tend to use. Top Machine Learning Algorithms Used in 2020. healthcare, education) and professions (e.g.,

Machine Learning 106

Machine Learning Data Science Reporting Marketing 106

Cloudera

NOVEMBER 3, 2021

According to a poll in Kaggle’s State of Machine Learning and Data Science 2020 , A Convolutional Neural Network was the most popular deep learning algorithm used amongst polled individuals, but it was not even in the top 3. Cloudera Machine Learning (CML) is one of many Data Services available in the Cloudera Data Platform.

Deep Learning 117

Deep Learning Machine Learning Data Science Cost-Benefit 117

Smart Data Collective

JANUARY 27, 2022

Did you know that big data consumption increased 5,000% between 2010 and 2020 ? Big data technology is changing countless aspects of our lives. A growing number of careers are predicated on the use of data analytics, AI and similar technologies. This should come as no surprise. 3D Printing Designer.

Big Data 135

Big Data Advertising Internet of Things Marketing 135

Smart Data Collective

OCTOBER 17, 2022

In fact, you may have even heard about IDC’s new Global DataSphere Forecast, 2021-2025 , which projects that global data production and replication will expand at a compound annual growth rate of 23% during the projection period, reaching 181 zettabytes in 2025. zettabytes of data in 2020, a tenfold increase from 6.5

Big Data 119

Big Data Data-driven Recreation/Entertainment Data Governance 119

DataRobot

AUGUST 5, 2021

In a July 2020 interview with the New York Times , Musk expressed his opinion that London research lab DeepMind is a “top concern” when it comes to artificial intelligence. Some participants were also shown the statistical distribution of the potential rental prices against the prediction point estimate. ” AI Doomsaying.

Uncertainty 98

Uncertainty Sales Risk Statistics 98

CIO Business Intelligence

MAY 26, 2022

Enterprises that are just starting to move to this discipline should keep in mind that at its core MLOps is about creating strong connections between data science and data engineering. “To To ensure the success of an MLOps project, you need both data engineers and data scientists on the same team,” Zuccarelli says.

Machine Learning 145

Machine Learning Data-driven Modeling Dashboards 145

CIO Business Intelligence

MAY 28, 2022

Enterprises that are just starting to move to this discipline should keep in mind that at its core MLOps is about creating strong connections between data science and data engineering. “To To ensure the success of an MLOps project, you need both data engineers and data scientists on the same team,” Zuccarelli says.

Machine Learning 143

Machine Learning Data-driven Modeling Dashboards 143

Insight

AUGUST 5, 2020

This project was completed during the Summer 2020 session of Insight Fellows Program. Speech recordings are time-series data, so these features were computed across several overlapping time windows capturing the temporal changes in their values. Summary statistics (i.e. up to 20% for prediction of ‘happy’ in females?—?in

Predictive Modeling 98

Predictive Modeling Statistics Modeling Measurement 98

Birst BI

AUGUST 23, 2018

Data scientists building AI applications require numerous skills – data visualization, data cleansing, artificial intelligence algorithm selection and diagnostics. What if some of these data science tasks could be automated using AI, increasing data science productivity to tackle more AI use cases?

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

Cloudera

SEPTEMBER 10, 2021

The IRS continues to evaluate and expand on successful fraud detection initiatives, while also piloting new fraud detection initiatives,” according to a July 2020 report from the Treasury Inspector General for Tax Administration. We need to be able to make accurate decisions at speed while utilizing vast swathes of data.

Machine Learning 69

Machine Learning Statistics Data-driven Big Data 69

CIO Business Intelligence

FEBRUARY 14, 2023

Leadership and advancement statistics from a range of research surveys also show how challenging it can be for Black IT professionals once they do embark on a career in IT — something that executives like Hammett and organizations like Enable are working to correct. The Black Technology Mentorship Program (BTMP) is another one.

IT 105

IT Statistics Management Technology 105

Smarten

MAY 11, 2017

Self-Serve Data Preparation provides seamless data access and allows users to discover, transform, mash-up and integrate data for clear analytics. Plug n’ Play Predictive Analysis enables business users to explore power of predictive analytics without indepth understanding of statistics and data science.

Experimentation 49

Experimentation Visualization Business Intelligence Predictive Analytics 49

CIO Business Intelligence

APRIL 24, 2023

In the 2023 State of the CIO report , IT leaders said they were most concerned about finding qualified experts in advanced areas such as cybersecurity, blockchain, and data science and analytics. Since 2020, tech employees have logged over 326,000 hours of training and earned more than 2,200 certifications.

IT 111

IT Strategy Insurance Software 111

Alation

JULY 7, 2022

Starting in the summer of 2020, students began using Alation to learn how to work with data and communicate around it effectively. Universities were only just beginning to plan formal academic data science programs, and the skills to be taught in those programs were still being identified. We’ve made incredible progress.

Metadata 52

Metadata Data-driven Insurance Statistics 52

IBM Big Data Hub

AUGUST 7, 2023

Research conducted by the Tufts Center for Study of Drug Development and presented in 2020 found that 23% of trials fail to achieve planned recruitment timelines 1 ; four years later, many of IBM’s clients still share the same struggle. Impact Report Jan/Feb 2020; 22(1): New global recruitment performance benchmarks yield mixed results.

Optimization 55

Optimization Forecasting Data-driven Statistics 55

BI-Survey

JANUARY 29, 2023

In the context of corporate planning, predictive planning and forecasting, it is therefore a major trend to use predictive models based on statistical methods and ML for forecasting and thorough analysis. By comparison, only 4 percent indicated that they supported corporate planning with predictive planning in a BARC study back in 2020.

Forecasting 52

Forecasting Predictive Modeling Measurement Finance 52

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

by TAMAN NARAYAN & SEN ZHAO A data scientist is often in possession of domain knowledge which she cannot easily apply to the structure of the model. On the one hand, basic statistical models (e.g. GAMs are popular among data science and machine learning applications for their simplicity and interpretability.

Machine Learning 111

Machine Learning Deep Learning Modeling Interactive 111

Business Over Broadway

MAY 22, 2019

Also, loyalty leaders infuse analytics into CX programs, including machine learning, data science and data integration. 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.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

Andrew White

JANUARY 9, 2022

This research does not tell you where to do the work; it is meant to provide the questions to ask in order to work out where to target the work, spanning reporting/analytics (classic), advanced analytics and data science (lab), data management and infrastructure, and D&A governance. We write about data and analytics.

Analytics 64

Analytics Measurement Data-driven Modeling 64

Andrew White

JANUARY 11, 2021

As such a head of analytics, BI and data science may emerge. Are you anticipating continued separation of “BI/Analytics” teams from “Data Science” teams or are those roles merging in the years ahead? Many data science labs are set up as shared services. That’s the idea.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

O'Reilly on Data

MAY 18, 2020

Garbage in, garbage out still holds in 2020. The most common types of AI systems are still only as good as their training data. If there’s no historical data that mirrors our current situation, we can expect our AI systems to falter , if not fail. And last is the probabilistic nature of statistics and machine learning (ML).

Risk 364

Risk Modeling Data Processing Reporting 364

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. back to the structure of the dataset. Let’s look through some antidotes. Ergo, less interpretable.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

CIO Business Intelligence

JULY 20, 2022

The 2022 State of the CIO research confirmed talent acquisition and retention strategies are a key issue for CIOs, cited by 38% of respondents, with cybersecurity skills, data science/analytics, and artificial intelligence (AI) and machine learning (ML) in top demand.

IT 136

IT Software Cost-Benefit Strategy 136

Rita Sallam

SEPTEMBER 11, 2020

We try use the Bake-Offs as a platform for data for good. Rather than just using some solely fun data like football/ soccer statistics – go Mo Salah! – this year, we used population health data. Last year we did loneliness and happiness data. BI Bake-Off Findings and Demos. YellowFin . HAPPY BAKING!!!

Statistics 73

Statistics Machine Learning Sales Data Science 73