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 87

Reporting Scorecard Predictive Modeling Machine Learning 87

CIO Business Intelligence

MAY 9, 2024

But the ranks of the CAIO are expected to increase at enterprise organizations as well in the coming years. 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. Artificial Intelligence, IT Leadership

Risk Management 138

Risk Management Risk Cost-Benefit Technology 138

FineReport

JUNE 7, 2024

Innovations such as AI-driven analytics, interactive dashboards , and predictive modeling set these companies apart. Boasting a user-centric approach, Alteryx’s key features include drag-and-drop functionalities and predictive modeling capabilities.

Visualization 52

Visualization Predictive Analytics Dashboards Predictive Modeling 52

CIO Business Intelligence

OCTOBER 5, 2023

As chief digital and technology officer at CBRE, Davé recognized early that the commercial real estate industry was ripe for AI and machine learning enhancements, and he and his team have tested countless use cases across the enterprise ever since. Let’s start with the models. And those experiments have paid off.

Experimentation 130

Experimentation Strategy Machine Learning Interactive 130

IBM Big Data Hub

JUNE 29, 2023

Enterprises are constantly looking for new ways to optimize performance, increase reliability and extend asset lifespans—all without adding unnecessary costs. This is why asset reliability is such a critical component of business strategy. Before we dive into it, let’s take a look at some relevant terms.

Cost-Benefit 80

Cost-Benefit Measurement Management Predictive Analytics 80

CIO Business Intelligence

OCTOBER 4, 2022

By Bryan Kirschner, Vice President, Strategy at DataStax. New research co-authored by Marco Iansiti, the co-founder of the Digital Initiative at Harvard Business School, sheds further light on how a data platform with robust real-time capabilities contribute to delivering competitive, ML-driven experiences in large enterprises.

Machine Learning 118

Machine Learning Data Architecture Uncertainty Data-driven 118

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

AUGUST 22, 2023

Digital twins and integrated data For the presentation layer, you can leverage various capabilities, such as 3D modeling, augmented reality and various predictive model-based health scores and criticality indices. At IBM, we strongly believe that open technologies are the required foundation of the digital twin.

Unstructured Data 74

Unstructured Data Consulting Visualization IoT 74

CIO Business Intelligence

JULY 28, 2022

Synchrony isn’t the only company dealing with a dearth of data scientists to perform increasingly critical work in the enterprise. The research report also noted that top enterprises, such as Deloitte, Amazon and Microsoft, are looking to fill a wide spectrum of technical jobs but data science far outweighs all other roles.

Data Science 143

Data Science IT Machine Learning Data-driven 143

CIO Business Intelligence

OCTOBER 13, 2023

As this technology becomes more popular, it’s increased the demand for relevant roles to help design, develop, implement, and maintain gen AI technology in the enterprise. 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.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

Smarten

JUNE 29, 2018

’ ARIMAX is related to the ARIMA technique but, while ARIMA is suitable for datasets that are univariate (see the article, entitled’ What is ARIMA Forecasting and How Can it Be Used for Enterprise Analysis?’). How Can ARIMAX Forecasting Be Used for Enterprise Analysis?

Forecasting 40

Forecasting Enterprise IT Business Intelligence 40

Ontotext

MAY 25, 2023

The conference positioning focused on knowledge graphs as a mature, enterprise-ready technology for long-term and mission-critical use cases that require security, resilience and scalability. This fellowship is an ideal option for enterprises looking for a solution that can be viable for 5+ years to maximize return on investment.

Machine Learning 52

Machine Learning Structured Data Unstructured Data Predictive Modeling 52

Smarten

JUNE 8, 2022

Predictive analytics uses data integrated from appropriate data sources, and augmented analytics allows the business to anticipate production demands, plan for new locations and markets and predict targeted customer buying behavior and changes in product demand across multiple market segments.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Optimization 52

Smarten

JUNE 25, 2018

How Does an Enterprise Use the KMeans Clustering Algorithm to Analyze Data? Sales team segments that are facing challenges based on any current discounting strategy can be identified and a deal negotiation strategy can be improved and optimized.

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 40

Smarten

FEBRUARY 17, 2022

But acknowledging the reality and enabling that reality within the walls of an enterprise are two very different things. Where many businesses fail in implementing the Citizen Data Scientist initiative, it is typical to find that the business has simply decided to deploy the strategy without much planning or culture change.

Predictive Modeling 76

Predictive Modeling Digital Transformation Enterprise Data Science 76

IBM Big Data Hub

SEPTEMBER 19, 2023

How effectively and efficiently an organization can conduct data analytics is determined by its data strategy and data architecture , which allows an organization, its users and its applications to access different types of data regardless of where that data resides.

Data Science 77

Data Science Data Analytics Prescriptive Analytics Analytics 77

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. Tableau’s AI tool, Einstein, can analyze data faster, plucking out useful insights while creating high-quality predictive models.

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

CIO Business Intelligence

AUGUST 7, 2023

While the mandate isn’t new , CIOs rising to the challenge are immersing in the business, polishing communications and business skills , and executing organizational and change management strategies to align technology initiatives with intended business outcomes. “At

IT 98

IT Sales Manufacturing Cost-Benefit 98

DataRobot Blog

APRIL 29, 2022

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. When business decisions are made based on bad models, the consequences can be severe. In other words, model risk can lead to tangible losses for the bank and its shareholders.

Risk 111

Risk Modeling IT Risk Management 111

IBM Big Data Hub

MAY 17, 2024

As these innovations are dynamically reshaping the commerce journey, it is crucial for leaders to anticipate and future-proof their enterprises to embrace the new paradigm.  Experience building strategies like these have been  used by online retailers for years.

B2B 65

B2B Interactive Optimization Forecasting 65

Smart Data Collective

AUGUST 7, 2019

One study found that 77% of small businesses don’t even have a big data strategy. If your company lacks a big data strategy, then you need to start developing one today. Apart from creating targeted marketing strategies, the information can also be used for monetization. Creating predictive models.

Data Analytics 99

Data Analytics Analytics Big Data Data Lake 99

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

Cloudera

APRIL 27, 2021

Innovations in software defined networking and network functions virtualization will improve the services range (with attractive options in the enterprise sector in particular), but core connectivity remains a relatively predictable business. It’s all in the data! Want to learn more about my perspective on this topic or more?

Recreation/Entertainment 69

Recreation/Entertainment Advertising IoT Predictive Modeling 69

DataRobot

JUNE 4, 2021

DataRobot enables organizations to leverage the transformational power of machine learning by delivering the world’s most trusted enterprise AI platform that spans the full lifecycle from data to value. DataRobot wraps all of this into an easy-to-use, enterprise-grade platform. However, we’d like to let you in on a little secret.

Forecasting 52

Forecasting Machine Learning Predictive Modeling Modeling 52

Cloudera

MAY 12, 2021

Use cases could include but are not limited to: predictive maintenance, log data pipeline optimization, connected vehicles, industrial IoT, fraud detection, patient monitoring, network monitoring, and more. DATA FOR ENTERPRISE AI. DATA FOR GOOD. A popular category last year, and no doubt this year too.

Digital Transformation 70

Digital Transformation Machine Learning Optimization Data Lake 70

FineReport

APRIL 9, 2024

The implementation of robust healthcare data management strategies is imperative to mitigate the risks associated with data breaches and non-compliance. The integration of clinical data analysis tools empowers healthcare providers to leverage predictive analytics for proactive decision-making.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Cloudera

DECEMBER 9, 2020

Entrants in this award category are so important to recognize because of how they tie every piece of their data strategy together. And in so doing, enrich the organization and secure, report, serve and predict on all the data they have access to. . This is why Globe Telecom established the Enterprise Data Office (EDO).

Predictive Modeling 73

Predictive Modeling Data Warehouse Enterprise Data Strategy 73

Birst BI

OCTOBER 30, 2018

Instead of transacting business with only a paper record, enterprise applications recorded transactions in a computer database. The credit scores generated by the predictive model are then used to approve or deny credit cards or loans to customers. Enable end users with access to the predictive analytics. Accounts in use.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

CIO Business Intelligence

MAY 26, 2022

Yochem recently added to those responsibilities when she took on the role of COO and general manager of Novant Health Enterprises, a new spinoff with ancillary ambulatory locations spanning 13 states. . It takes courage to have the hard conversations and make bold decisions at the enterprise level.

Informatics 105

Informatics Manufacturing Predictive Modeling Technology 105

CIO Business Intelligence

MAY 28, 2022

Yochem recently added to those responsibilities when she took on the role of COO and general manager of Novant Health Enterprises, a new spinoff with ancillary ambulatory locations spanning 13 states. . It takes courage to have the hard conversations and make bold decisions at the enterprise level.

Informatics 98

Informatics Manufacturing Predictive Modeling Technology 98

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.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

IBM Big Data Hub

FEBRUARY 14, 2024

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

Cost-Benefit 83

Cost-Benefit Insurance Unstructured Data Machine Learning 83

Smarten

JUNE 29, 2018

For instance, if promotions and holiday seasons are significant factors, these factors should be given more focus when devising a marketing strategy. Business Problem: An agriculture production firm wants to predict the impact of the amount of rainfall, humidity, and temperature on the yield of particular crop. Use Case – 2.

Business Analysis 40

Business Analysis IT Sales Statistics 40

Smarten

JUNE 20, 2018

The business can use this information for forecasting and planning, and to test theories and strategies. In this article, we will focus on the identification and exploration of data patterns and the trends that data reveals. Linear Trend. A linear pattern is a continuous decrease or increase in numbers over time.

Forecasting 40

Forecasting Statistics Business Intelligence Predictive Modeling 40

Rocket-Powered Data Science

JULY 13, 2023

Data is more than just another digital asset of the modern enterprise. As illustrated here, you can practically see the speed of business questions accelerating across the whole enterprise. ” Traditionally, one could say that the enterprise data infrastructure was the purview of the I.T. It is an essential asset.

Analytics 167

Analytics Machine Learning Data Science Deep Learning 167

Smarten

JUNE 27, 2018

In this example, the segments that have a response rate higher than the overall response rate can be targeted first since they will require less effort to convert to a purchase, whereas a different marketing strategy must be devised for the lower segments (segments that have a response rate less than the overall rate). About Smarten.

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

IBM Big Data Hub

JULY 5, 2023

But where do you start and how do you know which ALM strategy is right for you? First, though, let’s start with some definitions that will be key to understanding the value of ALM to the modern enterprise. The maintenance strategies that companies use most frequently are broken down into four stages of the asset lifecycle.

Strategy 53

Strategy Management IoT Cost-Benefit 53