CIO Business Intelligence

MAY 9, 2024

That means having a deep understanding of various AI technologies, including machine learning, natural language processing, retrieval-augmented generation (RAG), and, where applicable, robotics, Mathison says. This includes skills in statistical analysis, data visualization, and predictive modeling.

Risk Management 138

Risk Management Cost-Benefit Risk Technology 138

Smarten

OCTOBER 10, 2024

Machine learning has evolved to support the average business user with tools and techniques that make it easier to gather and analyze data using simple techniques that are supported by analytical techniques, without requiring business users to have data science skills.

Analytics 62

Analytics Machine Learning Predictive Modeling Visualization 62

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. Like rivals, Keller Williams will not provide a hardened ROI on a process that is only one part technology and still largely relationship-based between agent and customer.

Data Lake 98

Data Lake Digital Transformation Machine Learning Data Architecture 98

Smarten

AUGUST 6, 2024

So, if a power user or business users discovers a challenge or an opportunity and your management team wishes to further explore the issue to understand its strategic or operational value, a Data Scientist can take the predictive model or other analytical report produced by a Citizen Data Scientist and refine the results for executive review.

Predictive Modeling 62

Predictive Modeling Key Performance Indicator Data-driven Finance 62

DataRobot

JANUARY 13, 2022

Many companies find that they have a treasure trove of data but lack the expertise to use it to improve ROI. To move from experimental AI to production-level, trustworthy, and ROI-driven AI, it’s vital to align data scientists, business analysts, domain experts, and business leaders to leverage overlapping expertise from these groups.

ROI 52

ROI Machine Learning Experimentation Data Science 52

Smarten

AUGUST 21, 2019

Assisted Predictive Modeling – These tools enable the average business user to leverage sophisticated predictive algorithms without requiring statistical or data science skills. Users can highlight trends and patterns, test hypotheses and theories to reduce business risk, and easily predict and forecast results.

Analytics 51

Analytics Predictive Modeling Visualization Statistics 51

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

In conferences and research publications, there is a lot of excitement these days about machine learning methods and forecast automation that can scale across many time series. The ROI of human involvement When it comes to human involvement, the key difference is in the magnitude of costs associated with any one forecast cycle.

Forecasting 115

Forecasting Data Science Statistics Uncertainty 115

DataRobot

NOVEMBER 15, 2021

DataRobot AI Cloud on AWS enables organizations across the banking and healthcare industry to easily build, deploy, and monitor machine learning models that yield actionable insights and ROI. Machine Learning for Quant Investing with DataRobot on FactSet. DataRobot on FactSet. Build With Us.

Manufacturing 52

Manufacturing Forecasting Machine Learning Data-driven 52

Sisense

SEPTEMBER 25, 2020

Interpreting better results: Statistical techniques allow users to make predictions for unseen data, more easily improving the accuracy of output and results. Applying appropriate machine learning (ML) models: Different ML techniques are better suited for different types of problems. Clustering.

Statistics 98

Statistics Predictive Modeling Modeling Machine Learning 98

IBM Big Data Hub

JUNE 29, 2023

Sensors collect data in real-time that is then fed into an enterprise asset management (EAM) or computerized maintenance management system (CMMS), where AI-enhanced data analysis tools and processes like machine learning (ML) spot issues and help resolve them.

Cost-Benefit 80

Cost-Benefit Predictive Analytics Measurement Management 80

DataRobot Blog

NOVEMBER 9, 2017

I work for a software company that has built an automated machine learning platform. I’ve spent the last 2+ years working with business analysts and MBA’s to build predictive models. We started offering a course called Data Science, Machine Learning, and AI for Executives a while back, and it’s been very successful.

Machine Learning 52

Machine Learning Data-driven Sales Software 52

Alation

MAY 2, 2023

Data analytics techniques, such as machine learning (ML), artificial intelligence (AI), and predictive modeling, can help businesses extract valuable insights from this data to improve operations and customer experience.

Data Analytics 52

Data Analytics Analytics ROI Data-driven 52

DataRobot Blog

APRIL 1, 2022

Steward uses machine learning to make big decisions about staff and patients, reduce costs, and improve patient outcomes and experiences, and they have already started achieving their goal of decreasing costs. Also, degrading models over time can pose a significant risk to the business. Why is this challenge so important?

Machine Learning 45

Machine Learning Cost-Benefit Predictive Modeling Modeling 45

Occam's Razor

JANUARY 7, 2019

Learn what Session Quality is in Google Analytics, then learn how to use it in your campaigns to improve conversions. Learn what Smart Bidding is in Google Ads, then learn how to use it in your campaigns to improve outcomes. There is too much goodness in modeling that you are not taking advantage of.

Marketing Analytics 89

Marketing Analytics Marketing Analytics Strategy 89

Jedox

JULY 23, 2019

One of the biggest challenges of automation (Robotic Process Automation) and artificial intelligence/machine learning technologies is our current mindset. AI-based machine learning and predictive analytics will start to give us more powerful crystal balls. Financial Modeling. Crystal ball.

Technology 52

Technology Forecasting Finance Data-driven 52

IBM Big Data Hub

AUGUST 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data.

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

AWS Big Data

MARCH 7, 2023

This post also discusses the art of the possible with newer innovations in AWS services around streaming, machine learning (ML), data sharing, and serverless capabilities. User to user interactions – Invitations, gifting, chats (private and group), challenges, and so on during an event.

Analytics 97

Analytics Data Warehouse Data Lake Metadata 97

Alation

MAY 2, 2023

Data analytics techniques, such as machine learning (ML), artificial intelligence (AI), and predictive modeling, can help businesses extract valuable insights from this data to improve operations and customer experience.

Data Analytics 40

Data Analytics Analytics ROI Data-driven 40

Smarten

SEPTEMBER 9, 2024

Here are just a few of Gartner’s predictions related to the Citizen Data Scientist evolution and its importance: in the future ‘…40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.’ ’ How Has the Concept of Citizen Data Scientists Evolved?

Consulting 52

Consulting Cost-Benefit Data Science Business Intelligence 52

IBM Big Data Hub

FEBRUARY 14, 2024

Using machine learning (ML), AI can understand what customers are saying as well as their tone—and can direct them to customer service agents when needed. AIOps is one of the fastest ways to boost ROI from digital transformation investments.

Cost-Benefit 82

Cost-Benefit Insurance Machine Learning Unstructured Data 82

Insight

FEBRUARY 19, 2020

Using variability in machine learning predictions as a proxy for risk can help studio executives and producers decide whether or not to green light a film project Photo by Kyle Smith on Unsplash Originally posted on Toward Data Science. ROI = Profit/Budget). 158% (median ROI of 82%)!

Risk 67

Risk ROI Modeling Metrics 67

Jet Global

MAY 1, 2023

Return on Investment Now we bring it all together to calculate the ROI on embedded analytics. Costs: The investment in developing and maintaining the solution. “-1”: The formula assures that a positive ROI is achieved only when benefits exceed the costs. The formula looks like this: ($750k / $250k) = 3, so the ROI is 200 percent.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

CIO Business Intelligence

JANUARY 13, 2025

Align AI with business plans for maximum ROI While many enterprises already have a well-defined AI strategy in place, most havent aligned the plan with their broader business strategy, stunting ROI , says Wendy Collins, chief AI officer with systems integrator NTT DATA.

Experimentation 140

Experimentation Strategy ROI Digital Transformation 140

Smarten

JANUARY 6, 2025

Empowering Users The low code, no-code analytics approach enables team members with tools that allow for data visualization, data preparation, predictive modeling, and the use of analytics to create reports, dashboards and data visualization.

Predictive Analytics 40

Predictive Analytics Cost-Benefit Business Intelligence Visualization 40

Smarten

JANUARY 6, 2025

Finding and choosing the right solution will drive willing user adoption, improved Return on Investment (ROI) and low Total Cost of Ownership (TCO).

Marketing 40

Marketing Predictive Analytics Analytics IT 40

CIO Business Intelligence

MAY 6, 2025

Predictive analytics: Turning insight into foresight Predictive analytics uses historical data and statistical models or machine learning algorithms to answer the question, What is likely to happen? Too often, predictive and prescriptive models are celebrated for technical accuracy but fail to win executive buy-in.

Prescriptive Analytics 78

Prescriptive Analytics Predictive Analytics Descriptive Analytics ROI 78