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 95

Reporting Scorecard Predictive Modeling Machine Learning 95

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

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 80

Unstructured Data Consulting Visualization IoT 80

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

CIO Business Intelligence

OCTOBER 13, 2023

Businesses are turning to gen AI to streamline business processes, develop proprietary AI technology, and reduce manual efforts in order to free up employees to take on more intensive tasks. 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

IBM Big Data Hub

MAY 16, 2023

These processes are becoming more complex as AI and automation eliminate the tasks that can be executed through technology, leaving only the most challenging work behind. IBM Consulting offers managed marketing services that help clients improve their customer journeys by bringing together strategy, experience, technology and operations.

Marketing 74

Marketing Management Optimization Cost-Benefit 74

IBM Big Data Hub

MAY 17, 2024

And these technologies provide brands with intelligent tools, enabling more productivity and efficiency than was possible even five years ago. AI models analyze vast amounts of data quickly and accurately. Today the technology’s advanced capabilities encourage widespread adoption.

B2B 58

B2B Interactive Optimization Forecasting 58

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 99

Machine Learning Data Architecture Uncertainty Data-driven 99

CIO Business Intelligence

OCTOBER 12, 2023

Generac Power Systems’ Tim Dickson is an award-winning CIO who drives transformative change through technology and talent. He’s known as a digital game changer who operates at the intersection of advanced technology and business strategy. If there’s an aspect of business strategy, he expects me to do that.

IoT 115

IoT Manufacturing Strategy Modeling 115

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

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 86

Cost-Benefit Measurement Management Predictive Analytics 86

FineReport

APRIL 9, 2024

Understanding Healthcare BI Tools The Role of Healthcare BI Tools Healthcare BI tools are instrumental in revolutionizing decision-making processes and patient care through the utilization of advanced data analysis and technology.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

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. It can also be challenging to operationalize data analytics models.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

CIO Business Intelligence

JULY 28, 2022

They’ve also created a relationship with universities, setting up a pipeline of emerging technology-focused interns, who work at the company, gain experience in data science, and then can potentially be hired after they graduate. . And machine learning engineers are being hired to design and build automated predictive models.

Data Science 143

Data Science IT Machine Learning Data-driven 143

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 142

Big Data Finance Risk Management Risk 142

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

CIO Business Intelligence

AUGUST 7, 2023

In contrast, CIOs are uniquely positioned with a cross-functional view of business processes and have a keen understanding of how technology can be leveraged to transform operations — both essential ingredients for marshaling organizational change.

IT 83

IT Sales Manufacturing Cost-Benefit 83

Ontotext

MAY 25, 2023

The event attracts individuals interested in graph technology, machine learning and natural language processes in numerous verticals, including publishing, government, financial services, manufacturing and retail. In Conclusion Overall, the Knowledge Graph Conference showed where the technology and community are headed.

Machine Learning 52

Machine Learning Structured Data Unstructured Data Predictive Modeling 52

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. A purposeful MLOps strategy can provide exactly this.

Risk 111

Risk Modeling IT Risk Management 111

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. In 2019, big data technology is paramount in business. Apart from creating targeted marketing strategies, the information can also be used for monetization.

Data Analytics 100

Data Analytics Analytics Big Data Data Lake 100

Smarten

JUNE 8, 2022

According to technology research firm, Gartner, the number of Citizen Data Scientists will grow at five times the rate of traditional data scientists. If that’s the case, there must be something to this trend, right?

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Optimization 52

DataRobot

JUNE 4, 2021

Although the DataRobot platform makes leading edge AI technology available to customers, often the most bang-for-the-buck strategy for improving model accuracy is not necessarily to focus on the shiny new algorithm. But the power of enriching data for improved predictive models extends to nearly all industries and use cases.

Forecasting 52

Forecasting Machine Learning Predictive Modeling Modeling 52

BizAcuity

JULY 13, 2021

For the mass of collected data that AI technology can process and use, the customer’s habits are known. The unique features of the gaming platform, it can be used by business users without the assistance of the IT team to provide data or waiting for data scientists to build, validate and execute models.

Optimization 52

Optimization Marketing Analytics Data Warehouse 52

Smarten

JUNE 10, 2022

According to a West Monroe Partners’ survey, 68% of business and technology leaders surveyed don’t believe their competitors are leveraging data successfully. Predictive Modeling to support business needs, forecast, and test theories. Assisted Predictive Modeling. Business Intelligence. Dashboards.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

CIO Business Intelligence

MAY 26, 2022

It’s impossible to separate the evolution of business from the advances in technology and our unprecedented access to data. Not to mention the advanced insights and predictive modeling that should drive all major and minor decisions, as well as personalized engagement with stakeholders of all types, and so on. .

Informatics 85

Informatics Manufacturing Predictive Modeling Technology 85

O'Reilly on Data

DECEMBER 12, 2019

You’ve even discovered a few problems with your ML model. That’s where remediation strategies come in. We discuss seven remediation strategies below. ML models learn from data to become accurate, and ML models require data that’s truly representative of the entire problem space being modeled.

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

Smarten

FEBRUARY 17, 2022

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. But acknowledging the reality and enabling that reality within the walls of an enterprise are two very different things.

Predictive Modeling 76

Predictive Modeling Digital Transformation Enterprise Data Science 76

Sisense

AUGUST 11, 2019

BA and BI are broad terms covering all kinds of technologies and approaches – and, to add to the confusion, are often used interchangeably. BA primarily predicts what will happen in the future. So…what is the difference between business intelligence and business analytics? Is there a difference at all? Let’s take a closer look.

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

CIO Business Intelligence

MAY 28, 2022

It’s impossible to separate the evolution of business from the advances in technology and our unprecedented access to data. Not to mention the advanced insights and predictive modeling that should drive all major and minor decisions, as well as personalized engagement with stakeholders of all types, and so on. .

Informatics 82

Informatics Manufacturing Predictive Modeling Technology 82

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. . To do this, the company knew it needed to put the right technology in place. .

Predictive Modeling 69

Predictive Modeling Data Warehouse Enterprise Management 69

Sisense

SEPTEMBER 9, 2019

Mark’s team is constantly adapting to and meeting the challenges of a rapidly evolving business using cloud technologies, real-time analytics, data warehousing, and virtualization. Then we ran Kraken’s machine learning and predictive modeling engine to get the results.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

Birst BI

OCTOBER 30, 2018

Fortunately, advances in analytic technology have made the ability to see reliably into the future a reality. The credit scores generated by the predictive model are then used to approve or deny credit cards or loans to customers. Add the predictive logic to the data model. Accounts in use.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Cloudera

APRIL 27, 2021

Today, leading CME organizations worldwide are adopting an enterprise data cloud strategy using the open source-based Cloudera Data Platform to manage the end-to-end data lifecycle. These silos cause inefficiencies that rob the business of profit through the lack of insight and missed opportunities. It’s all in the data!

Recreation/Entertainment 65

Recreation/Entertainment Advertising IoT Predictive Modeling 65

Cloudera

MAY 12, 2021

Use cases for this category could include but are not limited to: people analytics and reporting; employee recruiting, retention and development; employee resource groups; diversity, equality and inclusion strategy; supplier diversity, and more. DATA FOR GOOD. A popular category last year, and no doubt this year too. INDUSTRY TRANSFORMATION.

Digital Transformation 66

Digital Transformation Machine Learning Optimization Data Lake 66

IBM Big Data Hub

FEBRUARY 14, 2024

McDonald’s is building AI solutions for customer care with IBM Watson AI technology and NLP to accelerate the development of its automated order taking (AOT) technology. Banks and other lenders can use ML classification algorithms and predictive models to suggest loan decisions.

Cost-Benefit 88

Cost-Benefit Insurance Unstructured Data Machine Learning 88

Birst BI

MAY 29, 2018

According to McKinsey [2] , technology companies can expect as much as a 10 percent increase in revenues using AI to strengthen product portfolios. How does this apply to a BI technology solution? Figure 6: Amazon Machine Learning to build and deploy Predictive Models. Mona Patel works in Birst’s Product Strategy team.

Slice and Dice 74

Slice and Dice Analytics Business Intelligence Machine Learning 74

IBM Big Data Hub

JULY 5, 2023

But where do you start and how do you know which ALM strategy is right for you? The maintenance strategies that companies use most frequently are broken down into four stages of the asset lifecycle. A sound ALM strategy ensures compliance no matter where data is being stored. What is asset lifecycle management (ALM)?

Strategy 57

Strategy Management IoT Cost-Benefit 57