CIO Business Intelligence

JANUARY 19, 2024

The US Bureau of Labor Statistics (BLS) forecasts employment of data scientists will grow 35% from 2022 to 2032, with about 17,000 openings projected on average each year. Check out our list of top big data and data analytics certifications.) Not finding what you’re looking for?

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

Smarten

APRIL 25, 2024

How Can I Ensure Data Quality and Gain Data Insight Using Augmented Analytics? These enterprises will typically focus on building a team of data scientists or business analysts to help with this task OR they might take on an augmented analytics initiative to provide access to data and analytics for their business users.

Data Quality 62

Data Quality Analytics Machine Learning Visualization 62

CIO Business Intelligence

JUNE 14, 2023

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is machine learning? This post will dive deeper into the nuances of each field.

Machine Learning 55

Machine Learning Data Science Statistics Deep Learning 55

BizAcuity

APRIL 1, 2023

1] With the rise of Big Data in today’s world, Machine Learning (ML) is popularly used to identify, assess, and monitor financial risks as well as detect various suspicious activities and transactions. For predictive analytics to deliver high accuracy, a lot depends on the combination of domain knowledge and technical expertise.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

BizAcuity

JANUARY 18, 2023

With the rise of Big Data in today’s world, Machine Learning (ML) is popularly used to identify, assess, and monitor financial risks as well as detect various suspicious activities and transactions. How Machine Learning Helps Detect and Prevent AML. Predictive Analytics. Exploratory Data Analysis (EDA).

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

CIO Business Intelligence

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. What are the four types of data analytics?

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 121

Predictive Analytics Analytics Predictive Modeling Data mining 121

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics.

Data Science 77

Data Science Data Analytics Prescriptive Analytics Analytics 77

Analytics Vidhya

MAY 26, 2023

Imagine diving into the details of data analysis, predictive modeling, and ML. Before you decide […] The post Data Science Subjects and Syllabus [Latest Topics Included] appeared first on Analytics Vidhya. Envision yourself unraveling the insights and patterns for making informed decisions that shape the future.

Data Science 313

Data Science Predictive Modeling Modeling Technology 313

Smarten

MAY 31, 2022

The technology research firm, Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Complete Set of Analytical Techniques. Descriptive Statistics. Competitive Changes. Market Changes.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

Business Over Broadway

SEPTEMBER 27, 2018

In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics. Analytics in these types of projects may be less valuable due to lack of generalizability (to the other customers) and poor models (e.g.,

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

Analytics Vidhya

MARCH 22, 2022

Introduction Feature analysis is an important step in building any predictive model. The post Bivariate Feature Analysis in Python appeared first on Analytics Vidhya. It helps us in understanding the relationship between dependent and independent variables.

Predictive Modeling 327

Predictive Modeling Data Science Publishing Modeling 327

Decision Management Solutions

MARCH 4, 2019

Machine learning is the scientific study of algorithms and statistical models that computer systems use to effectively perform a specific task without using explicit instructions, relying on models and inference instead. Machine Learning is increasingly widely used to make predictions.

Machine Learning 68

Machine Learning Statistics Modeling Predictive Analytics 68

CIO Business Intelligence

APRIL 22, 2022

Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. Data science vs. data analytics. While closely related, data analytics is a component of data science, used to understand what an organization’s data looks like.

Data Science 140

Data Science Statistics Machine Learning Visualization 140

Jedox

MAY 17, 2022

Predictive analytics is a discipline that’s been around in some form since the dawn of measurement. We’ve always been trying to predict the future; go back in history to look at prognosticators like Nostradamus and many other prophets. A Brief History of Predictive Analytics. What is Predictive Analytics?

Predictive Analytics 83

Predictive Analytics Finance Analytics Forecasting 83

CIO Business Intelligence

APRIL 25, 2022

The data science path you ultimately choose will depend on your skillset and interests, but each career path will require some level of programming, data visualization, statistics, and machine learning knowledge and skills. It culminates with a capstone project that requires creating a machine learning model.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

O'Reilly on Data

JUNE 18, 2019

Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge. “AI As model building become easier, the problem of high-quality data becomes more evident than ever. In this post, we shed some light on various efforts toward generating data for machine learning (ML) models.

Machine Learning 255

Machine Learning Data Quality Statistics Modeling 255

datapine

AUGUST 14, 2019

To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations. It helps to automate and makes the usage of the R programming statistical language easier and much more effective. perfect for statistical computing and design.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

CIO Business Intelligence

OCTOBER 13, 2023

In the next six to 12 months, some of the most popular anticipated uses for gen AI include content creation (42%), data analytics (53%), software development (41%), business insight (51%), internal customer support (45%), product development (40%), security (42%), and process automation (51%).

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

Smarten

AUGUST 21, 2019

Discover the Smarten approach to Augmented Analytics and Advanced Data Discovery tools. Assisted Predictive Modeling – These tools enable the average business user to leverage sophisticated predictive algorithms without requiring statistical or data science skills.

Analytics 51

Analytics Predictive Modeling Visualization Statistics 51

Smarten

JUNE 17, 2022

Smarten announces the recent certification of its Smarten Augmented Analytics Software product by CERT-IN. Contact the Smarten team for more information on Smarten Augmented Analytics solution. Original Post : Smarten Augmented Analytics Receives CERT-IN Certification for Its Products and Services! About Smarten.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

CIO Business Intelligence

MAY 9, 2024

They should lead the efforts to tie AI capabilities to data analytics and business process strategies and champion an AI-first mindset throughout the organization. And they should have a proficiency in data science and analytics to effectively leverage data-driven insights and develop AI models.

Risk Management 138

Risk Management Risk Cost-Benefit Technology 138

CIO Business Intelligence

JULY 24, 2023

The country’s premier football division, LaLiga, is leveraging artificial intelligence and machine learning (ML) to deliver new insights to players and coaches, and to transform how fans enjoy and understand the game. It has also developed predictive models to detect trends, make predictions, and simulate results.

Broadcasting 98

Broadcasting Recreation/Entertainment Testing Machine Learning 98

Smarten

DECEMBER 17, 2018

Biz Users Get Plug n’ Play Analytics, Data Scientists Get R Integration! But, they don’t have to be data scientists to use augmented analytics. The plug n’ play predictive analytics and predictive modeling platform is suitable for business users.

Predictive Analytics 40

Predictive Analytics Predictive Modeling Analytics Statistics 40

CIO Business Intelligence

JULY 28, 2022

We try to be data-driven in our decisions so we have a great need for analytics skill sets. … That is backed up by a 2021 survey by industry analysts at Forrester, which showed that, of 2,329 data and analytics decision-makers worldwide, 55% want to hire data scientists. We have a very focused approach around building that pipeline.”.

Data Science 143

Data Science IT Machine Learning Data-driven 143

Domino Data Lab

JULY 28, 2021

Through a marriage of traditional statistics with fast-paced, code-first computer science doctrine and business acumen, data science teams can solve problems with more accuracy and precision than ever before, especially when combined with soft skills in creativity and communication. Math and Statistics Expertise.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

Cloudera

DECEMBER 20, 2017

Analytic software and statistical tools help us build models to detect patterns and make predictions to extend our reach. Increasingly, there is enough data and complexity, that we can’t define a model capturing each input and output scenario up front. That’s where machine learning (ML) comes in.

Machine Learning 40

Machine Learning Reporting Modeling Statistics 40

CIO Business Intelligence

JULY 26, 2023

And the crew is using AWS SageMaker machine learning (ML) to give its agents the best local leads and prospective buyers. But Cox and Djuric do know that 82% of Keller Williams’ agent have been active on the homegrown CRM application in the past 90 days and can deduce the high value of their data from that statistic alone.

Data Lake 98

Data Lake Digital Transformation Machine Learning Data Architecture 98

DataRobot

JANUARY 13, 2022

Data scientists typically come equipped with skills in three key areas: mathematics and statistics, data science methods, and domain expertise. It offers a visual and intuitive UI that enables anyone to explore and prepare data for machine learning, no matter their previous machine-learning experience.

ROI 52

ROI Machine Learning Experimentation Data Science 52

Data Science 101

JUNE 10, 2019

They can clean large amounts of data, explore data sets to find trends, build predictive models, and create a story around their findings. The power of data science comes from a deep understanding of statistics,algorithms, programming, and communication skills. A data scientist can run a project from end-to-end. Data Analysts.

Data Science 96

Data Science Statistics Predictive Modeling Machine Learning 96

Sisense

APRIL 10, 2020

R: Analytics powerhouse. R is a tool built by statisticians mainly for mathematics, statistics, research, and data analysis. These support a wide array of uses, such as data analysis, manipulation, visualizations, and machine learning (ML) modeling. Modeling in R and Python.

Deep Learning 98

Deep Learning Data Science Machine Learning Visualization 98

Birst BI

AUGUST 23, 2018

A key goal of AI or machine learning automation is to have machines complete tasks for you, freeing up time so you can focus on the more complex, higher-value tasks. 1] Until then, we observe in another Gartner survey that organizations are outsourcing various tasks in the Machine Learning pipeline. [2].

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

IBM Big Data Hub

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. What is machine learning? temperature, salary).

Machine Learning 75

Machine Learning Modeling Deep Learning Predictive Modeling 75

Smarten

APRIL 19, 2024

In this article, we will discuss the current state of AI in analytics, as well as the future of this burgeoning industry and how it can be applied to analytics to simplify and clarify results and to make analytics easier for businesses and business users to leverage.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

datapine

MARCH 25, 2022

1) What Is Business Intelligence And Analytics? If someone puts you on the spot, could you tell him/her what the difference between business intelligence and analytics is? We already saw earlier this year the benefits of Business Intelligence and Business Analytics. What Is Business Intelligence And Analytics?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Sisense

SEPTEMBER 25, 2020

In Next-Level Moves , we dig into the ways advanced analytics are paving the way for the next wave of innovation. A data scientist must be skilled in many arts: math and statistics, computer science, and domain knowledge. Statistics and programming go hand in hand. Importance of statistical techniques.

Statistics 98

Statistics Predictive Modeling Modeling Machine Learning 98