CIO Business Intelligence

DECEMBER 7, 2023

That also means distinguishing between where you can take some risks and where the risk is going to be more limited. Space to take some risk and try new things has to be an expectation. There are two sides of the coin to this risk, and the other side is about recovering faster and building tactical resiliency.

Testing 99

Testing Risk Marketing IoT 99

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 122

Enterprise Cost-Benefit Digital Transformation Strategy 122

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

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 89

IT Data Science IoT Digital Transformation 89

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 85

Data Architecture Risk Management Risk Management 85

IBM Big Data Hub

JULY 12, 2023

Good contingency plans prioritize the risks an organization faces, delegate responsibility to members of the response teams and increase the likelihood that the company will make a full recovery after a negative event. Make a list of risks and prioritize them according to likelihood and severity.

Risk 40

Risk Cost-Benefit Internet of Things Testing 40

John Wheeler

AUGUST 28, 2020

Digital risk continues to grow in importance for corporate boards as they recognize the critical nature of digital business transformation today. Not only that, but 49% of directors cite the need to reduce legal, compliance and reputation risk related to digital investments. However, digital risk is different.

Risk 117

Risk Risk Management Internet of Things IoT 117

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 140

Digital Transformation Risk Management IoT Cost-Benefit 140

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

Corinium

APRIL 25, 2019

For example, P&C insurance strives to understand its customers and households better through data, to provide better customer service and anticipate insurance needs, as well as accurately measure risks. Life insurance needs accurate data on consumer health, age and other metrics of risk. Now, there is a data risk here.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

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

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 90

Machine Learning IoT Risk ROI 90

BizAcuity

MARCH 31, 2022

85% of AI (marketing) projects fail due to risk, confusion, and lack of upskilling among marketing teams.(Source: 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.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

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 80

Finance KPI Risk IoT 80

IBM Big Data Hub

JUNE 10, 2024

Beyond that, household devices blessed with Internet of Things (IoT) technology means that CPUs are now being incorporated into refrigerators, thermostats, security systems and more. Computers can also both create pre-surgical 3D models of organs and help pathologists study illnesses.

Manufacturing 58

Manufacturing Forecasting Data-driven Internet of Things 58

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