CIO Business Intelligence

NOVEMBER 23, 2022

This has become a priority for businesses that are trying to keep up with new technologies such as the cloud, IoT, machine learning, and other emerging trends that will prompt digital transformation. Data modeling. It can also help businesses navigate complex IT structures or to make IT more accessible to other business units.

Enterprise 128

Enterprise Cost-Benefit Digital Transformation Strategy 128

Ontotext

APRIL 6, 2023

Knowledge graphs are changing the game A knowledge graph is a data model that uses semantics to represent real-world entities and the relationships between them. This model is used in various industries to enable seamless data integration, unification, analysis and sharing. standards modeled in a knowledge graph!

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

CIO Business Intelligence

DECEMBER 7, 2023

Many businesses are shifting their business models from product to service, and as leaders, it’s important to build a level of learning in that journey for your teams. While we have made meaningful progress, we recognize this is a persistent and evolving threat, so you have to stay up to speed on trends and risk management capabilities.

Testing 105

Testing Risk Marketing IoT 105

CIO Business Intelligence

JULY 18, 2023

If we’re looking to build, train, and run models at scale to run in parallel to each of our products, we need talent who can help us unbundle the data by refactoring apps and data, and building a scalable data fabric that is flexible to feed to a generative AI platform,” says Kocherlakota, who is seeking AI experience and generative AI knowledge.

IT 98

IT Data Science IoT Digital Transformation 98

CIO Business Intelligence

OCTOBER 30, 2023

Disruption has moved from the exception to the norm With disruption now a constant rather than one-off event, organizations must be able to quickly react to change with agility across all aspects of their operating models. The philosophy behind adaptive systems is more about innovation than risk management.

Digital Transformation 143

Digital Transformation Risk Management IoT Cost-Benefit 143

IBM Big Data Hub

JULY 12, 2023

Team members discuss possible risks, analyze the risk impact of each one and propose courses of action to increase their overall preparedness. Plans should be tested at least once annually, and new risk assessments performed.

Risk 40

Risk Cost-Benefit Internet of Things Testing 40

John Wheeler

AUGUST 28, 2020

That’s why digital risk management has become so critically important for organizations now. How can you gain a better understanding and visibility of digital risk across your business? The only way is through an integrated risk management (IRM) approach using digital risk management technology.

Risk 117

Risk Risk Management Internet of Things IoT 117

Cloudera

JUNE 29, 2023

To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure. To improve the way they model and manage risk, institutions must modernize their data management and data governance practices.

Data Architecture 82

Data Architecture Risk Management Risk Management 82

CIO Business Intelligence

MARCH 22, 2022

At Fractal, Tiwari will be responsible for the company’s digital transformation and overseeing IT operations, cybersecurity, and risk management. . Prior to joining Fractal, Tiwari was senior vice-president and global CISO at Airtel, where he set up the managed security services initiative Airtel Secure for Business.

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98

erwin

FEBRUARY 4, 2021

While acknowledging that data governance is about more than risk management and regulatory compliance may indicate that companies are more confident in their data, the data governance practice is nonetheless growing in complexity because of more: Data to handle, much of it unstructured. Sources, like IoT. Points of integration.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

Corinium

APRIL 25, 2019

And more recently, we have also seen innovation with IOT (Internet Of Things). This is a much more proactive and scalable model. And it’s become a hyper-competitive business, so enhancing customer service through data is critical for maintaining customer loyalty. The 2nd biggest mistake, I’ll call it “silo mentality”.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Cloudera

NOVEMBER 25, 2021

Protect: security needs including risk management, fraud detection and cybersecurity initiatives through risk modelling and analysis, regulatory compliance, and financial crime prevention. . For logistics and supply chain, this may include managing predictive maintenance, connected vehicles and fleet management.

Machine Learning 87

Machine Learning IoT Risk ROI 87

CIO Business Intelligence

MARCH 25, 2022

Policy makers around the world have been recognizing this heightened risk, which has been further amplified by the recent geopolitical tensions. The European Union (EU) has pulled together a proposal for a unified framework to regulate risk management for financial institutions. Cybersecurity threats are real.

Finance 98

Finance KPI Risk IoT 98

BizAcuity

MARCH 31, 2022

Not just banking and financial services, but many organizations use big data and AI to forecast revenue, exchange rates, cryptocurrencies and certain macroeconomic variables for hedging purposes and risk management. Integrating IoT and route optimization are two other important places that use AI. AI in Healthcare. AI Services.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Cloudera

JANUARY 22, 2019

The top Big Data Fabric use cases recognized by Forrester are 360-degree view of the customer, Internet-of-things (IoT) analytics, and real-time and advanced analytics. Cloudera Enterprise Platform as Big Data Fabric. Shared Data Catalog to preserve context and enforce Governance.

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44

Jet Global

MAY 9, 2024

Real-Time Analytics Pipelines : These pipelines process and analyze data in real-time or near-real-time to support decision-making in applications such as fraud detection, monitoring IoT devices, and providing personalized recommendations. This allows them to make informed decisions about the next steps in their analysis or modeling process.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52