IBM Big Data Hub

MAY 17, 2024

As the future of commerce unfolds, each use case interacts holistically to transform the customer journey from end-to-end–for customers, for employees, and for their partners. By using machine learning algorithms and big data analytics, AI can uncover patterns, correlations and trends that might escape human analysts.

B2B 69

B2B Interactive Optimization Forecasting 69

Ontotext

APRIL 6, 2023

Knowledge graphs can also enable the creation of “digital twins”, which make sense of the collected data from various sensors in different systems, spanning the entire vehicle lifecycle. and other technologies for digital transformation of manufacturing systems.

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

Cloudera

MARCH 25, 2021

As digital transformation initiatives move forward, many fast-forwarded by the pandemic, digital data footprints are expanding. Risk management can be optimized by the improved use of data and analytics to run models, account for more variables and scrutinize probable outcomes.

Data Strategy 64

Data Strategy Strategy Enterprise Insurance 64

IBM Big Data Hub

JULY 27, 2023

Risk management : Because EAM offers a comprehensive view of all critical assets, it can be an invaluable tool for identifying potential risks, empowering companies to take preemptive steps to avoid accidents and operational disruptions. It can also significantly increase uptime and lifespan.

Cost-Benefit 58

Cost-Benefit IoT Internet of Things Enterprise 58

bridgei2i

APRIL 9, 2019

Introducing innovative technologies such as Artificial Intelligence(AI) can help the financial sector to automate various processes, manage financial advisory services, and reduce the cost of various business expenses. Although the digital transformation of enterprises may seem challenging, it is not impossible.

Unstructured Data 69

Unstructured Data Sales Data-driven Finance 69

bridgei2i

MAY 21, 2019

Introducing innovative technologies such as Artificial Intelligence(AI) can help the financial sector to automate various processes, manage financial advisory services, and reduce the cost of various business expenses. Although the digital transformation of enterprises may seem challenging, it is not impossible.

Unstructured Data 40

Unstructured Data Sales Data-driven Finance 40

IBM Big Data Hub

APRIL 4, 2024

Conversely, it has a larger scope than task management, which deals with individual tasks, and project management, which handles one-time initiatives. Business process management examples BPM can help improve overall business operations by optimizing various business processes.

Management 58

Management Cost-Benefit Metrics Consulting 58

Cloudera

JULY 29, 2022

They can outperform competitors by applying machine learning and artificial intelligence to understand and optimize the customer experience while aiding service assurance. When it comes to FSI, one of the key findings from the report is the importance of risk management and regulatory compliance when it comes to data management.

Data Architecture 84

Data Architecture Data Strategy Risk Management Strategy 84

IBM Big Data Hub

DECEMBER 4, 2023

The platform has been used to modernize and unify the information technology (IT) ecosystem of major financial firms, simplify human capital management (HCM) across brands’ subsidiaries, and optimize reporting processes in complex healthcare settings.

Testing 78

Testing Consulting Digital Transformation Cost-Benefit 78

erwin

JULY 8, 2020

In the blink of an eye, COVID-19 has disrupted all industries and quickly accelerated their plans for digital transformation. There’s a clear connection between business process modeling and digital transformation initiatives. Business process modeling is also critical for risk management and regulatory compliance.

Slice and Dice 136

Slice and Dice Modeling Digital Transformation Visualization 136

IBM Big Data Hub

JANUARY 30, 2024

Increasingly, enterprise organizations are adopting a multicloud approach—the use of cloud services from more than one cloud vendor—to optimize performance, control costs and prevent vendor lock-in. to total $678.8 billion in 2024, up from $563.6 billion in 2023. What are the challenges of multicloud?

Strategy 98

Strategy Cost-Benefit Risk Optimization 98

Cloudera

NOVEMBER 25, 2021

As data continues to grow at an exponential rate, our customers are increasingly looking to advance and scale operations through digital transformation and the cloud. We have a joint vision to support acceleration, cost optimisation, and optimal experiences for cloud adoption to businesses across every industry. .

Machine Learning 87

Machine Learning IoT Risk ROI 87

DataRobot Blog

DECEMBER 20, 2022

In this context, an augmented intelligence approach around the data will be increasingly more critical for asset managers, investors, and real estate developers to ensure a better understanding of the real estate assets and take better decisions aimed at optimizing both the Net Asset Value and the Net Operating Income.

Management 59

Management Machine Learning Optimization Modeling 59

BizAcuity

MARCH 31, 2022

you already have a data strategy in place, then it is easier to identify and analyze where AI would be the most useful for your business.Analytics Insight has an informative blog on the wide range of use-cases of AI in prominent industries. Integrating IoT and route optimization are two other important places that use AI.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

erwin

OCTOBER 3, 2019

In the era of rapidly evolving technology and rampant – often disruptive – digital transformation, the need for enterprise architecture tools is abundantly clear. It can also ensure it does this in accordance with the longer-term strategic vision of the organization. Increasing agility and speeding time to value.

Enterprise 111

Enterprise Cost-Benefit Data-driven Risk 111