erwin

MARCH 12, 2020

Forrester recently released its “Now Tech: Enterprise Architecture Management Suites for Q1 2020” to give organizations an enterprise architecture (EA) playbook. It also highlights select enterprise architecture management suite (EAMS) vendors based on size and functionality, including erwin. Guess what?

Enterprise 85

Enterprise Reporting Management ROI 85

CIO Business Intelligence

SEPTEMBER 20, 2023

Now Assist for IT Service Management, Customer Service Management, and HR Service Delivery add new text creation and summarization features and an interactive chatbot interface to help workers get to relevant information more quickly. Coding assistance There’s also support for enterprises that want to roll their own workflows.

Cost-Benefit 111

Cost-Benefit Software Finance Interactive 111

bridgei2i

JULY 28, 2020

PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 12: How AI is rapidly transforming the enterprise landscape in. How AI is rapidly transforming the enterprise landscape in the post-COVID world. SERIES: COVID 19 | Redefining Digital Enterprises. the post-COVID world. Listening time: 14 minutes. Meet the Speaker.

Enterprise 98

Enterprise Digital Transformation Insurance B2B 98

bridgei2i

MAY 20, 2020

PODCAST: COVID 19 | Redefining Digital Enterprises. You’re listening to AI to Impact by BRIDGEi2i, a podcast on AI for the digital enterprise. With them, we’ll be discussing the impact of COVID-19 on enterprises and how they can recalibrate their focus to remain resilient. Listening time: 11 minutes. Subscribe Now.

Enterprise 98

Enterprise B2B Digital Transformation Insurance 98

John Wheeler

MARCH 6, 2019

It has been 5 years since Gartner embarked on the journey to enhance our coverage of the risk management technology marketplace. That journey included in-depth survey research and countless interactions with our end-user clients to understand their need to better manage strategic, operational and IT/cybersecurity risks.

Risk Management 77

Risk Management Risk Data-driven Marketing 77

bridgei2i

MAY 4, 2020

PODCAST: COVID 19 | Redefining Digital Enterprises. She feels while the short-term focus will be on crisis-management and survival, businesses will increasingly turn to intelligent automation across sectors once they start recovering. You’re listening to AI to Impact by BRIDGEi2i, a podcast on AI for the digital enterprise.

Enterprise 91

Enterprise Digital Transformation Sales Recreation/Entertainment 91

CIO Business Intelligence

APRIL 5, 2024

Enterprises developing and using AI should be ready to answer questions about how their AI tools work, even when deploying automated tools as simple as spam filtering, Mahdavi says. Those questions will come from consumers, and they will come from regulators,” she adds. There’s obviously going to be heightened scrutiny here across the board.”

Risk 121

Risk Interactive Insurance Strategy 121

John Wheeler

SEPTEMBER 14, 2018

This week, Gartner hosted its annual Security & Risk Management Summit in London and the buzz at the event centered on the new risks associated with the General Data Protection Regulation (GDPR). It’s no wonder that CEOs consider risk management as one of their top priorities in 2018 (see figure below).

Risk Management 56

Risk Management Risk Data Processing Management 56

AWS Big Data

FEBRUARY 1, 2024

Amazon Redshift features like streaming ingestion, Amazon Aurora zero-ETL integration , and data sharing with AWS Data Exchange enable near-real-time processing for trade reporting, risk management, and trade optimization. Apart from generating regulatory reports, these teams require visibility into the health of the reporting systems.

Data Warehouse 123

Data Warehouse Dashboards Risk Management Risk 123

IBM Big Data Hub

OCTOBER 16, 2023

It encompasses risk management and regulatory compliance and guides how AI is managed within an organization. They are used in everything from robotics to tools that reason and interact with humans. They offer an enterprise-ready dataset with trusted data that’s undergone negative and positive curation.

Risk 70

Risk Modeling Management Metadata 70

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.  To take one example, AI-facilitated tools like voice navigation promise to upend the way users fundamentally interact with a system.

B2B 64

B2B Interactive Optimization Forecasting 64

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. This role is responsible for training, developing, deploying, scheduling, monitoring, and improving scalable machine learning solutions in the enterprise.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

CIO Business Intelligence

APRIL 11, 2022

Unfortunately, within many enterprises, however, management’s perception of CIOs remains firmly embedded in the past. It’s up to CIOs themselves to expand their role in the enterprise by moving into business areas once considered off-limits or, until recently, didn’t even exist. Focus on outcomes, not technologies.

Cost-Benefit 119

Cost-Benefit Digital Transformation Strategy Consulting 119

CIO Business Intelligence

JULY 31, 2023

The adoption curve here is by no means gradual, with most enterprise leaders quickly working to harness the technology’s potential mere months after the November 2022 launch of gen AI tool ChatGPT kicked off a wave of enthusiasm (and worry). So, what are the concerns that will complicate the enterprise gen AI playbook?

Strategy 98

Strategy Risk Enterprise Risk Management 98

John Wheeler

OCTOBER 12, 2018

So, how can these emerging risks be managed to limit the amount of business disruption? Gartner recommends an integrated risk management (IRM) approach that links the strategic focus of enterprise risk management (ERM) programs with the tactical steps necessary to secure the most relevant business assets.

Risk Management 40

Risk Management Risk Technology Management 40

Cloudera

JULY 15, 2021

For financial institutions and insurers, risk and exposure management has always been a fundamental tenet of the business. Now, risk management has become exponentially complicated in multiple dimensions. . Attendees included senior risk managers and analytics experts from financial institutions and insurance companies.

Risk 100

Risk Optimization Management Insurance 100

bridgei2i

MAY 17, 2021

The AI-backed interface enables the lender to ensure if the applicants are at high default risks. AI And Risk Management. AI can conduct in-depth analysis, generate reports, and simulate investment scenarios to identify the risks in the system.

Finance 52

Finance Risk Management Unstructured Data Cost-Benefit 52

CIO Business Intelligence

MAY 18, 2022

The discipline of enterprise architecture (EA) is often criticized for forcing technology choices on business users or producing software analyses no one uses. Forrester Research has identified more than 20 types of enterprise architecture roles being used by its clients. You need an ecosystem of subject-matter experts.

Enterprise 116

Enterprise Measurement Data-driven Software 116

IBM Big Data Hub

DECEMBER 4, 2023

This approach can accelerate speed-to-market by providing enhanced capabilities for developing innovative products and services, facilitating business growth and improving the overall customer experience in their interactions with the company.

Insurance 53

Insurance Digital Transformation Risk Management Interactive 53

IBM Big Data Hub

DECEMBER 15, 2023

As a result, these technologies quite often lead to the best tools to handle complex challenges across many enterprise use cases. Enterprises may expose their stakeholders to risk when they use technologies that they didn’t build in-house. Morgan’s Athena uses Python-based open-source AI to innovate risk management.

Deep Learning 64

Deep Learning Experimentation Machine Learning Risk 64

Ontotext

JULY 6, 2023

In today’s fast changing environment, enterprises that have transitioned from being focused on applications to becoming data-driven gain a significant competitive edge. Changing the game with knowledge graphs So how does knowledge graph technology help enterprises in the Financial Services Industry become data-driven?

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

Smart Data Collective

MARCH 27, 2023

From healthcare to finance and from social media to education, big data is transforming how we interact with the world around us. Since many small businesses don’t know how to handle this, they can easily outsource to a third-party risk management company, or TPRM.

Big Data 94

Big Data Risk Risk Management Finance 94

erwin

JUNE 14, 2019

According to IDC’s digital transformation predictions report for 2019, these types of initiatives are going to flood the enterprise during the next five years. A recent PwC study found that successful digital transformation risk-takers “find the right fit for emerging technologies.”. Digital Transformation in Retail.

Digital Transformation 111

Digital Transformation Data Governance Risk Data-driven 111

datapine

MARCH 31, 2022

For example, if you enjoy computer science, programming, and data but are too extroverted to program all day long, you could work in a more human-oriented area of intelligence for business, perhaps involving more face-to-face interactions than most programmers would encounter on the job. BI Data Scientist.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

O'Reilly on Data

JULY 15, 2019

After the 2008 financial crisis, the Federal Reserve issued a new set of guidelines governing models— SR 11-7 : Guidance on Model Risk Management. Note that the emphasis of SR 11-7 is on risk management.). Sources of model risk. Model risk management. AI projects in financial services and health care.

Machine Learning 38

Machine Learning Management Enterprise Risk Management 38

CIO Business Intelligence

MARCH 18, 2024

One such company has built a tool that predicts customer intent and behavior based on previous interactions and other market data. Good data management practices will be needed to get the desired results and AI solutions,” she says. Artificial Intelligence, Generative AI, IT Leadership, IT Strategy, Risk Management

Risk 132

Risk Cost-Benefit Data Processing Testing 132

IBM Big Data Hub

JUNE 23, 2023

One action is implementing secure, AI-first intelligent workflows to run your enterprise. Risk management and controls are an imperative in F&A. Analysis and reporting will be one of the most impacted areas, and the level of self-serve solutions will sky-rocket across enterprises. Apply the controllership lens.

Finance 56

Finance Consulting Data-driven Risk 56

Cloudera

FEBRUARY 24, 2021

Trend #1: The Crossroads of Risk Management and Emerging Technology. One shift the financial services industry will have to come to terms with is the fact that 2020 may have made risk management models of the past outdated or obsolete , particularly credit risk models. Cloudera is the Enterprise Data Cloud Company.

Risk Management 61

Risk Management Risk Recreation/Entertainment Machine Learning 61

FineReport

MAY 19, 2020

Financial analysts perform the functions of management accounting, analyze the financial data, analyze the past, control the present, and plan for the future, thereby helping enterprises to improve operating efficiency and maximize the interests of shareholders. From Udemy. Career P rospects of F inancial A nalysts. Free Trial.

Reporting 95

Reporting Dashboards Risk Management Enterprise 95

Ontotext

APRIL 6, 2023

This allows companies to model and optimize the interactions between the various computers that make a car run, ensuring everything is operating in sync to meet the desired specifications. This is particularly useful in today’s data-driven economy, where having a complete picture of the data can give enterprises a competitive edge.

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

IBM Big Data Hub

SEPTEMBER 20, 2022

It’s how top organizations improve customer interactions and accelerate time-to-market for goods and services. With IBM Cloud Pak® for Data , you can formalize a workflow that allows different teams to interact with your model at various stages. It’s not just about granting proper access to data science teams.

Metadata 56

Metadata Machine Learning Data-driven Modeling 56

O'Reilly on Data

NOVEMBER 13, 2018

We recently conducted a survey which garnered more than 11,000 respondents—our main goal was to ascertain how enterprises were using machine learning. As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. Let’s begin by looking at the state of adoption.

Machine Learning 224

Machine Learning Risk Management Statistics 224

AWS Big Data

APRIL 12, 2023

We deliver expertly authored training materials to organizations, including computer-based video training sessions, interactive learning modules, supplemental materials, and reinforcement curriculum to keep security top-of-mind for all employees. Our analytics solutions differentiate us from existing enterprise products.

Dashboards 59

Dashboards Risk Data-driven Visualization 59

Sisense

SEPTEMBER 3, 2020

They are the link between the data resources available to an enterprise and executives looking for opportunities to make the business better, faster, and stronger. ROI (return on investment) is also a key concern, as business analysts apply their data-related activities to finance, marketing, and risk management, for instance.

Statistics 97

Statistics Metrics Visualization Finance 97

Cloudera

MAY 15, 2018

Cloudera Enterprise is the market leader in this space and working closely with the wider open source community to integrate the latest innovations in machine learning and artificial intelligence (AI). These examples are well covered by many others (e.g., Derman (2016), Cesa (2017) & Bouchard (2018)).

Machine Learning 42

Machine Learning Recreation/Entertainment Finance Big Data 42

IBM Big Data Hub

JULY 31, 2023

Read the ANZ case study Gaining visibility through enterprise-wide business and risk analytics Banks depend on advanced analytics for almost every aspect of key business decisions that affect customer satisfaction, financial performance, infrastructure investment and risk management.

Digital Transformation 50

Digital Transformation Uncertainty Risk Data Warehouse 50

DataRobot Blog

MAY 26, 2022

To start with, SR 11-7 lays out the criticality of model validation in an effective model risk management practice: Model validation is the set of processes and activities intended to verify that models are performing as expected, in line with their design objectives and business uses. Conclusion.

Risk 52

Risk Modeling Metrics Business Objectives 52