Smart Data Collective

NOVEMBER 18, 2020

Data sources play a very important role in making sure content creators and marketers, scholars and students have access to statistical and factual information. You can access statistical information about the US population, economy as well as geography on this data source platform. US Census Bureau. Google Dataset Search.

Big Data 130

Big Data Statistics Recreation/Entertainment Finance 130

O'Reilly on Data

APRIL 19, 2021

In our 2020 survey, which reached the same audience, we had 1,239 responses. Relatively few respondents are using version control for data and models. Tools for versioning data and models are still immature, but they’re critical for making AI results reproducible and reliable. This year, we had a total of 5,154. Respondents.

Enterprise 359

Enterprise Modeling Risk Manufacturing 359

CIO Business Intelligence

NOVEMBER 20, 2023

In 2020, McKinsey surveyed 440 large companies about their “ developer velocity” — meaning the practices that best tap the full potential of development talent. The US Bureau of Labor Statistics has projected that the number of software developers will grow 25% from 2021-31. And like the Holy Grail, it has been elusive.

Measurement 116

Measurement Metrics Testing Software 116

Smart Data Collective

NOVEMBER 3, 2021

They currently spend just under $4 billion in 2020. The Deloitte report says that in the second quarter of 2020 the largest 100 banks in the USA reported $103.4 2020 became the year when a lot of customers first experienced their remote interaction with banks and enjoyed it. The banking industry is among them.

Software 121

Software Data-driven Interactive Insurance 121

Depict Data Studio

JULY 28, 2020

The topic was school reopening plans for the 2020-2021 academic year. Anytime we see trend data for 2020, it’s going to have an asterisk that it’s showing only three-quarters of the data. The school system was considering three models: 100% in-person, 100% virtual, or a hybrid. The Reporting Model.

Visualization 102

Visualization Reporting Modeling Statistics 102

DataKitchen

APRIL 28, 2021

Forrester relates that out of 25,000 reports published by the firm last year, the report on data fabrics and DataOps ranked in the top ten for downloads in 2020. Data fabrics provide reusable services that span data integration, access, transformation, modeling, visualization, governance, and delivery. What is a Data Fabric?

Statistics 246

Statistics Optimization Technology Data Analytics 246

BizAcuity

DECEMBER 8, 2021

The years 2019 and 2020 have seen a spike in mobile gaming as a whole because people have been finding it extremely difficult to cope with social isolation and finally got some respite in such platforms. Their AI model will focus and optimize the retention activities to the best customers. Such a tool can also calculate the churn rate.

Statistics 96

Statistics Measurement Forecasting Consulting 96

KDnuggets

JANUARY 10, 2020

Finding a deep learning model to perform well is an exciting feat. But, might there be other -- less complex -- models that perform just as well for your application?

Deep Learning 100

Deep Learning Statistics Measurement Modeling 100

BizAcuity

APRIL 1, 2023

Widely used to discover trends, patterns, check assumptions and spot anomalies or outliers, EDA involves a variety of techniques including statistical analysis, and machine learning to gain a better understanding of data. Building a predictive model is a continuous process and commitment.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

Smart Data Collective

MAY 27, 2021

Nowadays, electric cars are commonplace with an estimated 245,000 pure-electric cars on UK roads at the end of April 2021 , and over 515,000 plug-in models. With many car manufacturers following the lead of Tesla, the market has boomed over the years. AI technology could help scale the growth of this cutting-edge industry.

Manufacturing 90

Manufacturing Insurance Marketing Statistics 90

BizAcuity

JANUARY 18, 2023

Widely used to discover trends, patterns, check assumptions and spot anomalies or outliers, EDA involves a variety of techniques including statistical analysis, and machine learning to gain a better understanding of data. Predictive modeling for flagging suspicious activity. Steps to building a highly accurate predictive model for AML.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 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. AI models can be designed to detect anomalies in real-time site performance data.

Optimization 55

Optimization Forecasting Data-driven Strategy 55

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. After making their first estimate, all participants were shown rental price predictions from a machine learning model. ” AI Doomsaying.

Uncertainty 98

Uncertainty Sales Risk Statistics 98

Insight

MARCH 12, 2020

The AIgent was built with BERT, Google’s state-of-the-art language model. In this article, I will discuss the construction of the AIgent, from data collection to model assembly. Features: DistilBERT Text Embeddings Once I had a raw dataset, I could begin engineering features and building a natural language processing (NLP) model.

Modeling 59

Modeling Metadata Publishing Sales 59

CIO Business Intelligence

MARCH 21, 2022

Data science is a fast growing field, with the BLS predicting job growth of 22% from 2020 to 2030. The more high-quality data available to data scientists, the more parameters they can include in a given model, and the more data they will have on hand for training their models. Data scientist salary.

Unstructured Data 130

Unstructured Data Data Analytics Analytics Structured Data 130

Smart Data Collective

NOVEMBER 24, 2020

In this article, you’ll discover: upcoming trends in business intelligence what benefits will BI provide for businesses in 2020 and on? In the future of business intelligence, eliminating waste will be easier thanks to better statistics, timely reporting on defects and improved forecasts. Future of BI: What Does it Hold? QlickSense.

Business Intelligence 130

Business Intelligence Visualization Dashboards Prescriptive Analytics 130

O'Reilly on Data

MARCH 18, 2020

Whether it’s controlling for common risk factors—bias in model development, missing or poorly conditioned data, the tendency of models to degrade in production—or instantiating formal processes to promote data governance, adopters will have their work cut out for them as they work to establish reliable AI production lines.

Enterprise 318

Enterprise Deep Learning Data Governance Risk 318

Smart Data Collective

JANUARY 6, 2021

billion in 2020. But the performance data used in recruitment goes beyond statistics like goals, home runs, and passes. However, limitations with standard analytical models t can keep them from assessing and recording those metrics. The sector has reached a market value of $388.3

Internet of Things 137

Internet of Things IoT Broadcasting Big Data 137

Smart Data Collective

SEPTEMBER 22, 2020

Statistics over time have proven that the firearms industry does exceptionally well under two conditions: right before a presidential election and during a national crisis. Even though the industry has been growing for the last decade, that growth has exploded exponentially in the first half of 2020 alone. Currently, the U.S.

Big Data 97

Big Data Marketing Sales Manufacturing 97

datapine

NOVEMBER 19, 2019

In this post, we’re going to give you the 10 IT & technology buzzwords you won’t be able to avoid in 2020 so that you can stay poised to take advantage of market opportunities and new conversations alike. Get the inside scoop and learn all the new buzzwords in tech for 2020! Computer Vision.

Technology 279

Technology Internet of Things IT IoT 279

Rita Sallam

APRIL 2, 2023

In 2020, we analyzed population health data. Interpretation of our machine learning model suggests buying $50k in building coverage and $100k in warehouse content coverage, as the latter significantly boosts predicted flood claim payouts. They could supplement this data with any other relevant data sets. In Washington.

Optimization 52

Optimization Machine Learning Insurance Risk 52

O'Reilly on Data

FEBRUARY 18, 2020

True, it might seem difficult to reconcile R’s decline with strong interest in AI and ML, but consider two factors: first, ML and statistics are not the same thing, and, second, R is not, primarily, a developer-oriented language. R was designed for use in academic, scientific, and, more recently, commercial use cases.

Data-driven 342

Data-driven Software Statistics Marketing 342

Smart Data Collective

JANUARY 27, 2022

Did you know that big data consumption increased 5,000% between 2010 and 2020 ? A skilled professional has to know both the field for which the object is created and 3D modeling. Current statistics suggest an increase in demand for technical specialists in the IT-sphere. This should come as no surprise.

Big Data 128

Big Data Advertising Internet of Things Marketing 128

O'Reilly on Data

FEBRUARY 11, 2020

His insight was a corrective to the collective bias of the Army’s Statistical Research Group (SRG). A review of the survey results yields a few takeaways organizations can use to realistically address how they can condition their data to improve the efficacy of their analytics and models.

Data Quality 311

Data Quality Metadata Data Governance Publishing 311

Smart Data Collective

FEBRUARY 15, 2022

American Express is an example of a company that has used big data to improve its business model. But statistically speaking, the odds are not in every entrepreneur’s favor. There are many strange and weird ways to monetize a website as technology shifts into the 2020’s. In fact, a majority fail in their pursuit.

Marketing 103

Marketing Data Analytics Analytics Big Data 103

Smart Data Collective

NOVEMBER 4, 2021

Cyberattacks have been named one of five top-rated risks in 2020, according to Global Risks Report for both private individuals and businesses. If the answer is so easy why the worrying statistics? There are many important considerations for people using cloud technology. Lots of businesses have already moved to the cloud.

Strategy 119

Strategy Snapshot Risk IoT 119

IBM Big Data Hub

OCTOBER 9, 2023

As governments around the globe continue experimenting with the use of AI, and looking into ways to tap into foundational models offered by generative AI, one important question stands out: How will citizens benefit from the technology? These statistics prove building a trustworthy foundation for AI is a top priority for the entire world.

Interactive 51

Interactive Technology Statistics Consulting 51

datapine

SEPTEMBER 27, 2022

Some of these ‘structures’ may include putting all the information; for instance, a structure could be about cars, placing them into tables that consist of makes, models, year of manufacture, and color. Ralph Kimball and Margy Ross co-authored this third edition of Kimball’s classic guide to dimensional modeling.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

Smarten

NOVEMBER 19, 2018

Predictive analytics employs various analytical and modeling techniques, leveraging historical data and business results to identify crucial relationships, opportunities and risks so that business managers can more accurately predict growth, and competitive and market changes and identify trends and patterns. What is Predictive Analytics?

Business Objectives 40

Business Objectives Predictive Analytics Analytics Forecasting 40

CIO Business Intelligence

JULY 20, 2022

A 2020 World Economic Forum report found that women make up a similar percentage (26%) of data and AI positions in the workforce. This is a potentially alarming statistic given a projected worldwide staffing shortage of nearly 3 million cybersecurity professionals , a half million in the United States alone.

IT 130

IT Software Cost-Benefit Strategy 130

bridgei2i

JUNE 30, 2020

We have seen a 38 percent decrease in mobile units shipped in February 2020, which is a year-over-year drop due to supplies chain disruption alone. 2020 will long be remembered for the pandemic that wreaked havoc on the global economy and disrupted communities and businesses in unprecedented ways. Bye-bye, stay home.

Enterprise 98

Enterprise Technology Digital Transformation Manufacturing 98

Birst BI

AUGUST 23, 2018

For example, there are a plethora of software tools available to automatically develop predictive models from relational data, and according to Gartner, “By 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.” [1]

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

Smarten

NOVEMBER 22, 2017

Self-Serve Advanced Analytics provides a roadmap to guide you through a maze of organizational data with tools and models that will bring together data from disparate sources and enable sophisticated yet simple analytics. These tools allow the enterprise to establish and monitor key metrics and to objectively assess results.

Analytics 40

Analytics IT Business Intelligence Visualization 40

bridgei2i

MAY 26, 2020

In the twelve-year bull run that preceded this crisis with short secular uptrends; statistical forecasting models could not really be differentiated from high powered causal machine learning models. And I’m specifically talking about demand forecasting here. You know, in terms of performance, at least.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

Business Over Broadway

MAY 22, 2019

Remember that digital transformation is about transforming your business and operating models with technology. 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. IoT Artificial Intelligence.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

Insight

AUGUST 5, 2020

This project was completed during the Summer 2020 session of Insight Fellows Program. Summary statistics (i.e. This created a summary features matrix of 7472 recordings x 176 summary features, which was used for training emotion label prediction models. up to 20% for prediction of ‘happy’ in females?—?in

Predictive Modeling 98

Predictive Modeling Statistics Modeling Measurement 98

Sisense

DECEMBER 3, 2019

It equips them to directly query data from data warehouses in real-time, or further accelerate performance at scale with cached data models that provide exceptional performance for high-query-frequency, slow-changing data from your cloud data warehouse. With a single click, an ensemble of univariate forecast models run against your data.

Data Warehouse 90

Data Warehouse Analytics Digital Transformation Forecasting 90