CIO Business Intelligence

JANUARY 19, 2024

The exam covers everything from fundamental to advanced data science concepts such as big data best practices, business strategies for data, building cross-organizational support, machine learning, natural language processing, scholastic modeling, and more. and SAS Text Analytics, Time Series, Experimentation, and Optimization.

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

Smarten

APRIL 10, 2023

Investment in predictive analytics benefits everyone in the organization, including business users and team members, data scientists and the organization in general. Instead, they can use assisted predictive modeling to improve business agility and align processes, activities and tasks with business objectives and goals.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Analytics Prescriptive Analytics 52

Smarten

JULY 23, 2019

Put simply, predictive analytics is a method used to forecast and predict the future results and needs of an organization using historical data and a comprehensive set of data from across and outside the enterprise. Predictive Modeling allows users to test theories and hypotheses and develop the best strategy.

Modeling 63

Modeling Predictive Analytics Predictive Modeling IT 63

IBM Big Data Hub

APRIL 1, 2024

With IBM watsonx™ Assistant, companies can build large language models and train them using proprietary information, all while helping to ensure the security of their data. Through IBM® watsonx.ai™, various industry-leading models are available for different types of summarization.

Predictive Analytics 87

Predictive Analytics Sales Enterprise Predictive Modeling 87

CIO Business Intelligence

DECEMBER 11, 2023

Now, it’s time to pay for it, and that’s putting a spotlight squarely on the chief financial officer (CFO), who has increasingly become the gatekeeper deciding which projects get funded and how significantly AI will play a role in enterprise strategy. For the CFOs at the center of that transformation, the stakes are higher than ever.

Finance 105

Finance Forecasting IoT Predictive Modeling 105

FineReport

APRIL 9, 2024

From advanced analytics to predictive modeling, the evolving landscape of business intelligence is revolutionizing how data is processed and leveraged for actionable insights. Additionally, BI tools enable organizations to adopt a data-driven approach to strategy formulation, leading to more informed decision-making at all levels.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

BizAcuity

APRIL 25, 2022

Casinos would do well to think through their marketing strategies, to support growth, differentiate themselves from competitors, and strengthen their relationship with patrons and members. Casino Marketing strategy is digital. To start with, a fundamental digital casino marketing strategy encompasses: Website and Mobile.

Marketing 52

Marketing Strategy ROI Digital Transformation 52

CIO Business Intelligence

OCTOBER 5, 2023

Davé and his team’s achievements in AI are due in large part to creating opportunities for experimentation — and ensuring those experiments align with CBRE’s business strategy. Let’s start with the models. For AI, the high-value quadrant is where you’ll find most predictive modeling.

Experimentation 130

Experimentation Strategy Machine Learning Interactive 130

IBM Big Data Hub

MAY 18, 2023

This report outlines the combination of traditional decision automation tools with machine learning models and other technologies. ” The new Forrester Wave™ report details how IBM compares with other vendors in the AI-decisioning landscape based on current offering, strategy and market presence scores. .

Reporting 97

Reporting Scorecard Predictive Modeling Machine Learning 97

Smarten

SEPTEMBER 28, 2022

Gartner has predicted that, ‘Overall analytics adoption will increase from 35% to 50%, driven by vertical and domain-specific augmented analytics solutions.’ Predictive analytics uses sophisticated analytical methodologies to predict future outcomes based on historical data. Customer Churn.

Predictive Analytics 52

Predictive Analytics Analytics Predictive Modeling Forecasting 52

IBM Big Data Hub

MAY 6, 2024

In this chapter of the IBM series on clinical trial innovation, we spotlight key strategies for boosting recruitment speed, helping to ensure diversity, and harnessing digital advancements. It’s crucial to evaluate the feasibility of trials and refine protocols using evidence-based strategies.

Advertising 57

Advertising Data-driven Optimization Strategy 57

IBM Big Data Hub

AUGUST 22, 2023

It uses real-world data (both real time and historical) combined with engineering, simulation or machine learning (ML) models to enhance operations and support human decision-making. Traditional AI models versus foundation models These capabilities can help to continuously determine the state of the physical object.

Unstructured Data 83

Unstructured Data Consulting Visualization IoT 83

CIO Business Intelligence

OCTOBER 13, 2023

Here are the top 11 roles companies are currently hiring for, or have plans to hire for, to directly address their emerging gen AI strategies. It’s a role that requires experience with natural language processing , coding languages, statistical models, and large language and generative AI models.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

Smarten

NOVEMBER 26, 2018

With the right predictive analytics tool, your business can hypothesize, test theories, discover the effects of a possible price increase, discover and address changing buying behavior and develop appropriate competitive strategies.

Predictive Analytics 58

Predictive Analytics Predictive Modeling Analytics Forecasting 58

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 86

Data Science Data Analytics Prescriptive Analytics Analytics 86

Smart Data Collective

JULY 24, 2023

AI can also identify patterns and trends in data that may indicate cost-saving opportunities, leading to improved negotiation strategies and ultimately, cost reductions. Potential developments may include more sophisticated predictive models, greater automation, and increasingly personalized vendor interactions based on data-driven insights.

Management 87

Management Cost-Benefit Data-driven Predictive Analytics 87

CIO Business Intelligence

OCTOBER 4, 2022

By Bryan Kirschner, Vice President, Strategy at DataStax. They identified two architectural elements for processing and delivering data: the “data platform,” which covers the sourcing, ingestion, and storage of data sets, and the “machine learning (ML) system,” which trains and productizes predictive models using input data.

Machine Learning 118

Machine Learning Data Architecture Uncertainty Data-driven 118

DataRobot

NOVEMBER 24, 2021

Whatever its requirements, applying data-driven AI strategies can help. But it had trouble predicting sellout volume at scale and automating the necessary modeling and forecasting. Now, its data scientists of any skill level can quickly build and deploy accurate, world-class predictive models in minutes.

Cost-Benefit 98

Cost-Benefit ROI Data-driven Predictive Modeling 98

CIO Business Intelligence

OCTOBER 12, 2023

He’s known as a digital game changer who operates at the intersection of advanced technology and business strategy. I could have any title, but if there’s a component of digital strategy and data and AI that I can help with, he’s going to expect me to do that. If there’s an aspect of business strategy, he expects me to do that.

IoT 126

IoT Manufacturing Strategy Modeling 126

IBM Big Data Hub

MAY 16, 2023

While core creative and strategy campaigns are kept primarily in-house, marketing leaders are turning to MMS and tapping into their business and technology expertise to accelerate digital marketing operations, bridge talent shortages and fill technology skill gaps.

Marketing 77

Marketing Management Optimization Cost-Benefit 77

Smart Data Collective

SEPTEMBER 17, 2020

Financial institutions such as banks have to adhere to such a practice, especially when laying the foundation for back-test trading strategies. There is significant competition in the industry, and emerging tactics and strategies must be accepted to survive the market competition. The Role of Big Data. Perks Associated with Big Data.

Big Data 141

Big Data Finance Risk Management Risk 141

DataRobot

OCTOBER 19, 2021

As a result, policymakers are left without enough time to create and implement targeted, localized strategies in time to prevent outbreaks. DataRobot helped combat this problem head on by applying AI to evaluate and predict resource allocation and identify the most impacted communities from a national to county level.

Forecasting 98

Forecasting Predictive Modeling Optimization Testing 98

CIO Business Intelligence

JULY 28, 2022

They specialize in building powerful algorithms, and analyzing, processing, and modeling data so they can then interpret the results to create actionable plans. But for years these specialists also found themselves in jobs where they were expected to do engineering work, such as building pipelines and embedding models into operations systems.

Data Science 143

Data Science IT Machine Learning Data-driven 143

Ontotext

MAY 31, 2023

To support drug discovery, Ontotext has recently developed a method for gene-disease link prediction, which can help focus research efforts where it would matter most and speed up the drug development process. The link prediction models are based on the so-called Knowledge Graph Embeddings, which relying on knowledge graph technology.

Experimentation 52

Experimentation Cost-Benefit Predictive Modeling Risk 52

datapine

AUGUST 14, 2019

Companies surely need data scientists to help them empower their analytics processes, build a numbers-based strategy that will boost their bottom line, and ensure that enormous amounts of data are translated into actionable insights. connecting data sources and predicting future outcomes. perfect for statistical computing and design.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

IBM Big Data Hub

AUGUST 28, 2023

With nearly 5 billion users worldwide—more than 60% of the global population —social media platforms have become a vast source of data that businesses can leverage for improved customer satisfaction, better marketing strategies and faster overall business growth.

Data mining 60

Data mining Machine Learning Deep Learning Marketing 60

Smarten

JUNE 8, 2022

Citizen Data Scientists can create new models, share models and collaborate, thereby improving business results and data literacy.’. The business wants to use predictive analytics to identify those customers who were most likely to leave and develop processes and strategies to improve customer retention and reduce customer churn.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Optimization 52

FineReport

APRIL 21, 2024

Defining Business Intelligence and SaaS Business Intelligence (BI) encompasses the technologies and strategies used for data analysis and decision-making within organizations. However, SaaS BI tools address this challenge by offering user-friendly interfaces that simplify the process of data preparation, modeling, and analysis.

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

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. Your marketing strategy is only as good as your ability to deliver measurable results. Machine Learning and Predictive Modeling of Customer Churn.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

IBM Big Data Hub

JUNE 29, 2023

This is why asset reliability is such a critical component of business strategy. Preventive and predictive maintenance Both preventive and predictive maintenance are maintenance strategies used by business leaders to increase asset reliability. Before we dive into it, let’s take a look at some relevant terms.

Cost-Benefit 89

Cost-Benefit Measurement Management Predictive Analytics 89

DataRobot

JUNE 4, 2021

As new algorithms prove their merit, they are incorporated into DataRobot’s algorithm repository, and the platform continues to adapt and evolve even after models are deployed through a concept called continuous learning. Here, we have a model that predicts foot traffic for a chain of coffee shops. Data Source Comparison.

Forecasting 52

Forecasting Machine Learning Predictive Modeling Modeling 52

O'Reilly on Data

MARCH 20, 2019

Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks. This is like a denial-of-service (DOS) attack on your model itself.

Modeling 222

Modeling Machine Learning Predictive Modeling Consulting 222

Smarten

MAY 13, 2019

Self-serve, assisted predictive modeling and predictive analytics can help you to identify the customers who are most likely to leave and allow you to develop processes and strategies, as well as new marketing, new products and services, and other strategies that will improve customer retention and reduce customer churn.

Predictive Analytics 51

Predictive Analytics Analytics Predictive Modeling Advertising 51

Domino Data Lab

JULY 28, 2021

There are many software packages that allow anyone to build a predictive model, but without expertise in math and statistics, a practitioner runs the risk of creating a faulty, unethical, and even possibly illegal data science application. All models are not made equal. After cleaning, the data is now ready for processing.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

Ontotext

MAY 25, 2023

Click To Tweet Knowledge Graphs and Large Language Models (LLM): BFF Forever The rise of ChatGPT and other Large Language Models (LLM) has undoubtedly impacted the field of knowledge graphs. In addition, the use of knowledge graphs is expected to drive innovation in Biomedical AI in the 21st century.

Machine Learning 52

Machine Learning Structured Data Unstructured Data Predictive Modeling 52

Smarten

JUNE 10, 2022

Recent studies have focused on the trends in business intelligence and augmented analytics, predicting that businesses will grow analytics within the enterprise with: Augmented Analytics to enable non-technical business users to create sophisticated data models. Assisted Predictive Modeling. Business Intelligence.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

Domino Data Lab

OCTOBER 7, 2020

Statistics developed in the last century are based on probability models (distributions). This approach provides an automatic and objective strategy for decision making under defined assumptions about the data. This model for data analytics has proven highly successful in basic biomedical research and clinical trials.

Statistics 145

Statistics Testing Predictive Modeling Modeling 145