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. This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses.

Risk 111

Risk Modeling IT Risk Management 111

IBM Big Data Hub

FEBRUARY 13, 2024

Demystifying generative AI At the heart of Generative AI lie massive databases of texts, images, code and other data types. This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task. Imagine each data point as a glowing orb placed on a vast, multi-dimensional landscape.

Enterprise 118

Enterprise Modeling Testing Data-driven 118

Cloudera

AUGUST 12, 2021

In my previous blog post, I shared examples of how data provides the foundation for a modern organization to understand and exceed customers’ expectations. Collecting workforce data as a tool for talent management. Collecting workforce data as a tool for talent management. Data enables Innovation & Agility.

Data-driven 111

Data-driven Manufacturing Insurance Risk Management 111

erwin

SEPTEMBER 3, 2020

Why should you integrate data governance (DG) and enterprise architecture (EA)? Two of the biggest challenges in creating a successful enterprise architecture initiative are: collecting accurate information on application ecosystems and maintaining the information as application ecosystems change.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

Cloudera

JULY 15, 2021

We recently hosted a roundtable focused on o ptimizing risk and exposure management with data insights. 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. .

Risk 100

Risk Optimization Management Insurance 100

erwin

NOVEMBER 13, 2020

The business challenges facing organizations today emphasize the value of enterprise architecture (EA) , so the future of EA is closer than you think. See also: What Is Enterprise Architecture? . Data Security & Risk Management. Innovation Management. Data Center Consolidation. Cloud Migration.

Enterprise 131

Enterprise Digital Transformation Key Performance Indicator Data-driven 131

CIO Business Intelligence

MAY 24, 2024

The added demand for remote access to corporate applications driven by business continuity, customer reach, and newfound employee satisfaction comes with a heightened concern over data security. Most vendor offerings typically seek to address siloed segments, such as network or endpoint security, identity, or data security.

Risk Management 85

Risk Management Data-driven Risk Software 85

CIO Business Intelligence

NOVEMBER 23, 2022

Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. Another main priority with EA is agility and ensuring that your EA strategy has a strong focus on agility and agile adoption.

Enterprise 128

Enterprise Cost-Benefit Digital Transformation Strategy 128

erwin

AUGUST 20, 2020

Enterprise architecture (EA) is a strategic planning initiative that helps align business and IT. It provides a visual blueprint, demonstrating the connection between applications, technologies and data to the business functions they support. In this post: What Is Enterprise Architecture? Benefits of Enterprise Architecture.

Enterprise 140

Enterprise Cost-Benefit Risk Data Governance 140

erwin

OCTOBER 17, 2019

Architect Everything: New use cases for enterprise architecture are increasing enterprise architect’s stock in data-driven business. As enterprise architecture has evolved, so to have the use cases for enterprise architecture. Top 7 Use Cases for Enterprise Architecture. Data governance.

Enterprise 106

Enterprise Digital Transformation Data Governance Risk Management 106

CIO Business Intelligence

MAY 9, 2024

But the ranks of the CAIO are expected to increase at enterprise organizations as well in the coming years. They should lead the efforts to tie AI capabilities to data analytics and business process strategies and champion an AI-first mindset throughout the organization.

Risk Management 138

Risk Management Risk Cost-Benefit Technology 138

CIO Business Intelligence

DECEMBER 19, 2023

After all, every department is pressured to drive efficiencies and is clamoring for automation, data capabilities, and improvements in employee experiences, some of which could be addressed with generative AI. As every CIO can attest, the aggregate demand for IT and data capabilities is straining their IT leadership teams.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

CIO Business Intelligence

MAY 15, 2024

Even if you don’t have the training data or programming chops, you can take your favorite open source model, tweak it, and release it under a new name. If you have a data center that happens to have capacity, why pay someone else?” It’s also the training data, model weights, and fine tuning. Gen AI, however, isn’t just code.

Modeling 137

Modeling Risk Software Enterprise 137

CIO Business Intelligence

NOVEMBER 21, 2023

Ask IT leaders about their challenges with shadow IT, and most will cite the kinds of security, operational, and integration risks that give shadow IT its bad rep. That’s not to downplay the inherent risks of shadow IT.

IT 137

IT Risk Cost-Benefit Risk Management 137

CIO Business Intelligence

AUGUST 25, 2022

As organizations shape the contours of a secure edge-to-cloud strategy, it’s important to align with partners that prioritize both cybersecurity and risk management, with clear boundaries of shared responsibility. Here again, the customer is responsible for securing the guest OS, applications, and data.

Risk Management 115

Risk Management Internet of Things Risk IoT 115

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

JUNE 21, 2022

Everybody makes mistakes, but when a CIO messes up, the consequences can be devastating to the instigator, as well as the entire IT department and enterprise. Poor risk planning. CIOs frequently launch strategic initiatives without fully considering all the risks involved. Insufficient operational visibility.

IT 115

IT Risk Measurement Risk Management 115

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

CIO Business Intelligence

MARCH 8, 2023

As organizations shape the contours of a secure edge-to-cloud strategy, it’s important to align with partners that prioritize both cybersecurity and risk management, with clear boundaries of shared responsibility. Here again, the customer is responsible for securing the guest OS, applications, and data.

Modeling 85

Modeling Risk Management Internet of Things Risk 85

CIO Business Intelligence

MAY 24, 2024

GRC certifications validate the skills, knowledge, and abilities IT professionals have to manage governance, risk, and compliance (GRC) in the enterprise. Enter the need for competent governance, risk and compliance (GRC) professionals. What are GRC certifications? Why are GRC certifications important?

Risk 119

Risk Risk Management Management Enterprise 119

Cloudera

MARCH 25, 2021

Data privacy is an increasingly complex and contentious topic. The appropriate use of data and transparency to the potential uses of the data are at the center of debate amongst the largest Big Tech companies. . It won’t matter if you can collect social media data or geo location data, images, etc.

Data Strategy 65

Data Strategy Strategy Enterprise Insurance 65

Alation

OCTOBER 26, 2021

Today’s best-performing organizations embrace data for strategic decision-making. Because of the criticality of the data they deal with, we think that finance teams should lead the enterprise adoption of data and analytics solutions. This is because accurate data is “table stakes” for finance teams.

Finance 52

Finance Data Transformation Enterprise Metrics 52

erwin

JULY 12, 2019

In light of recent, high-profile data breaches, it’s past-time we re-examined strategic data governance and its role in managing regulatory requirements. for alleged violations of the European Union’s General Data Protection Regulation (GDPR). Complexity. Five Steps to GDPR/CCPA Compliance. Govern PII “at rest”.

Data Governance 110

Data Governance Management Metadata Risk Management 110

CIO Business Intelligence

SEPTEMBER 13, 2022

Cyber risk is increasingly a top executive priority, due in large part to the rising number of unplanned outages, driven by the increasingly sophisticated cyberattacks and widening skills gap. What’s the answer to coping with the dynamic nature of risks? Cloud Management And the problem can’t be ignored.

Digital Transformation 91

Digital Transformation Risk Risk Management Data-driven 91

erwin

APRIL 2, 2021

Organizations are managing more data than ever. With more companies increasingly migrating their data to the cloud to ensure availability and scalability, the risks associated with data management and protection also are growing. Data Security Starts with Data Governance.

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

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. More efficient, more scalable systems are going to be able to handle more data. the post-COVID world. Not just that.

Enterprise 98

Enterprise Digital Transformation Insurance B2B 98

IBM Big Data Hub

FEBRUARY 19, 2024

To mitigate these risks , companies need the resources and technology to develop robust contingency plans. Fewer disruptions : A healthy supply chain mitigates risks and protects against inevitable disruption. A supply chain control tower can connect many sources of data-driven information and improve end-to-end visibility.

Strategy 82

Strategy Management Forecasting Cost-Benefit 82

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

Smart Data Collective

OCTOBER 26, 2023

AI poses a number of benefits and risks for modern businesses. Cybersecurity is the practice of taking precautions to protect data privacy, security, and reliability from being compromised online. The threat of cyber-attacks is expanding across all industries, affecting government agencies, banks, hospitals, and enterprises.

Technology 91

Technology Risk Measurement IoT 91

erwin

OCTOBER 31, 2019

Do you know where your data is? What data you have? Add to the mix the potential for a data breach followed by non-compliance, reputational damage and financial penalties and a real horror story could unfold. s Information Commissioner’s Office had levied against both Facebook and Equifax for their data breaches.

Data Governance 105

Data Governance Metadata Risk Data Lake 105

CIO Business Intelligence

APRIL 18, 2022

Multivendor enterprise IT environments don’t spring up overnight. Where are your biggest downtime risks? Risk tolerance is, after all, a mission-critical piece of knowledge that can save the business. SLAs will need to be updated as risk management plans change. . They tend to evolve over time.

Management 128

Management IT Data-driven Risk 128

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. The inherently competitive nature of retail has made the sector a leader in adopting data-driven strategy. This is an important data point for marketing strategy.

Digital Transformation 111

Digital Transformation Data Governance Risk Data-driven 111

John Wheeler

OCTOBER 20, 2020

We continue our “20 for 20” theme this year by highlighting the integrated risk management (IRM) critical capabilities and top 20 software functions / features. These five capabilities support both integrated view of strategic, operational and technology risk as well as the related business outcomes, processes and assets.

Risk Management 52

Risk Management Risk Predictive Modeling Insurance 52

bridgei2i

MAY 20, 2020

PODCAST: COVID 19 | Redefining Digital Enterprises. And since they involve making better decisions using data-driven insights, AI & Analytics led applications are leading the way forward. You’re listening to AI to Impact by BRIDGEi2i, a podcast on AI for the digital enterprise. Listening time: 11 minutes.

Enterprise 98

Enterprise B2B Digital Transformation Insurance 98

Cloudera

FEBRUARY 14, 2018

I’ve spent the last four years here at Cloudera talking with our customers about how to run their businesses better using their data and Cloudera’s products and services. Now I get to put my money where my mouth is – and turn my focus internally on how we at Cloudera can become more data-driven.

Data-driven 44

Data-driven Data Quality Risk Interactive 44

Alation

AUGUST 17, 2022

According to analysts, data governance programs have not shown a high success rate. According to CIOs , historical data governance programs were invasive and suffered from one of two defects: They were either forced on the rank and file — who grew to dislike IT as a result. The Risks of Early Data Governance Programs.

Data Governance 92

Data Governance Risk Data-driven Measurement 92

IBM Big Data Hub

JUNE 23, 2023

Generative AI empowers faster and better data-driven decisions based on historical data, market trends and the use of AI foundation models that identify patterns and anomalies often missed by traditional analysis methods. One action is implementing secure, AI-first intelligent workflows to run your enterprise.

Finance 56

Finance Consulting Data-driven Risk 56