IBM Big Data Hub

MARCH 27, 2024

As businesses make plans to mitigate climate risks such as extreme weather events, they have an opportunity to innovate with new business models and demonstrate leadership by implementing more sustainable practices. What is climate risk? To best prepare, organizations need to develop a climate risk strategy.

Risk 67

Risk Forecasting Insurance Strategy 67

CIO Business Intelligence

JANUARY 24, 2024

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. Unfortunately, the road to data strategy success is fraught with challenges, so CIOs and other technology leaders need to plan and execute carefully. Here are some data strategy mistakes IT leaders would be wise to avoid.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

DataRobot Blog

JUNE 27, 2022

In our previous two posts, we discussed extensively how modelers are able to both develop and validate machine learning models while following the guidelines outlined by the Federal Reserve Board (FRB) in SR 11-7. Monitoring Model Metrics.

Risk 59

Risk Modeling Metrics Measurement 59

CIO Business Intelligence

DECEMBER 28, 2023

The need to manage risk, adhere to regulations, and establish processes to govern those tasks has been part of running an organization as long as there have been businesses to run. Furthermore, the State of Risk & Compliance Report, from GRC software maker NAVEX, found that 20% described their programs as early stage. What is GRC?

Risk 114

Risk Risk Management Strategy Enterprise 114

IBM Big Data Hub

FEBRUARY 22, 2024

The rise of foundation models that power the growth of generative AI and other AI use cases offers exciting possibilities—yet it also raises new questions and concerns about their ethical design, development, deployment, and use. Known risks from prior or earlier forms of AI systems.

Modeling 67

Modeling Risk Strategy Enterprise 67

CIO Business Intelligence

MARCH 25, 2024

Modern digital organisations tend to use an agile approach to delivery, with cross-functional teams, product-based operating models , and persistent funding. But to deliver transformative initiatives, CIOs need to embrace the agile, product-based approach, and that means convincing the CFO to switch to a persistent funding model.

Modeling 124

Modeling Cost-Benefit IT ROI 124

CIO Business Intelligence

JANUARY 22, 2024

However, understanding what’s going on with some large language models (LLMs) in terms of how they’ve been trained, and on what data and whether the outputs can be trusted, is another matter considering the increasing rate of hallucinations. Gartner estimates that by 2030, synthetic data will overtake the use of real data in AI models.

Data Strategy 132

Data Strategy Strategy Data-driven Enterprise 132

DataRobot Blog

MAY 26, 2022

Last time , we discussed the steps that a modeler must pay attention to when building out ML models to be utilized within the financial institution. In summary, to ensure that they have built a robust model, modelers must make certain that they have designed the model in a way that is backed by research and industry-adopted practices.

Risk 52

Risk Modeling Metrics Business Objectives 52

IBM Big Data Hub

NOVEMBER 30, 2023

Risks from wildfires, floods, heat, drought and wind have always been a concern, but climate change has intensified these risks, making them more frequent and unpredictable for organizations. This situation increases the need for businesses to adapt their sustainability strategies to address climate change issues.

Strategy 96

Strategy Insurance Risk Management 96

Cloudera

OCTOBER 20, 2021

As part of these efforts, disclosure requirements will mandate that firms provide “the impact of a company’s activities on the environment and society, as well as the business and financial risks faced by a company due to its sustainability exposures.” What are the key climate risk measurements and impacts? They need to understand;

Risk 78

Risk Modeling Risk Management Measurement 78

IBM Big Data Hub

SEPTEMBER 6, 2023

According to the IBM survey, when CMOs were asked what they thought the primary challenges were in adopting generative AI, they listed three top concerns: managing the complexity of implementation, building the data set and brand and intellectual property (IP) risk. With the right generative AI strategy, marketers can mitigate these concerns.

Marketing 122

Marketing Strategy B2B Cost-Benefit 122

CIO Business Intelligence

MAY 17, 2023

Excellent opportunities to save and make money, reduce risk, and develop new models of business emerge when business, IT and data teams work together, identifying where the enterprise’s most valuable data assets reside. Why it matters:  Data-driven business decisions must factor prominently in modernization efforts.

Data-driven 109

Data-driven Strategy IT Insurance 109

IBM Big Data Hub

DECEMBER 13, 2023

A procurement strategy allows an organization to navigate an increasingly complex global supply chain, adapt swiftly to market fluctuations, and achieve cost optimization, operational efficiency and growth. A procurement strategy is not merely a series of steps for acquiring goods and services. What is a procurement strategy?

Strategy 73

Strategy Cost-Benefit Key Performance Indicator Consulting 73

IBM Big Data Hub

DECEMBER 20, 2023

Without an AI strategy, organizations risk missing out on the benefits AI can offer. An AI strategy helps organizations address the complex challenges associated with AI implementation and define its objectives. What is an AI strategy? A successful AI strategy should act as a roadmap for this plan.

Strategy 79

Strategy Business Objectives Cost-Benefit Consulting 79

IBM Big Data Hub

MAY 1, 2023

This wave of AI is attributable to what are known as foundation models. What are foundation models? As the name suggests, foundation models can be the foundation for many kinds of AI systems. Using machine learning techniques, these models apply information learned about one situation to another situation.

Modeling 100

Modeling Risk Machine Learning Technology 100

CIO Business Intelligence

OCTOBER 12, 2023

You require a strategy for efficient, productive, and responsible corporate use. The companies that harness GenAI are the companies that we believe are going to disrupt their industries,” said Mindy Cancila, vice president of corporate strategy at Dell Technologies, on a recent CXO Spice webcast. These tips will help you get started.

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Strategy Marketing Metrics Technology 127

CIO Business Intelligence

JULY 31, 2023

They note, too, that CIOs — being top technologists within their organizations — will be running point on those concerns as companies establish their gen AI strategies. Here’s a rundown of the top 20 issues shaping gen AI strategies today. How has, say, ChatGPT hit your business model?” This is an issue for CIOs.

Strategy 98

Strategy Risk Enterprise Risk Management 98

IBM Big Data Hub

MAY 8, 2023

This blog continues the discussion, now investigating the risks of adopting AI and proposes measures for a safe and judicious response to adopting AI. Risk and limitations of AI The risk associated with the adoption of AI in insurance can be separated broadly into two categories—technological and usage.

Insurance 74

Insurance Risk Testing Data Quality 74

IBM Big Data Hub

JANUARY 16, 2024

A finely tuned product development strategy is a holistic, cross-collaborative endeavor with the capacity to help any organization weather unforeseen events or market changes. Why is a strong product development strategy important? Consumers have access to more information than ever to compare products and brands.

Strategy 83

Strategy Cost-Benefit Testing Manufacturing 83

CIO Business Intelligence

JANUARY 25, 2024

Two-thirds of risk executives surveyed by Gartner consider gen AI a top emerging risk. Among their biggest concerns: exposing intellectual property through publicly available generative AI models, revealing the personal data of users to third-party vendors or service providers, and securing the AI itself from criminal hackers.

Strategy 108

Strategy Risk ROI Sales 108

CIO Business Intelligence

JULY 13, 2022

Metrics that create a narrative and show how the business compares to competitors, the wider industry, and globally against all businesses give a clear picture that allows board members to set strategy. The day continues with Doug Fisher, SVP and CSO at Lenovo , who will share his strategies for strong security leadership.

Strategy 124

Strategy Risk Metrics Risk Management 124

Domino Data Lab

AUGUST 6, 2021

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

CIO Business Intelligence

AUGUST 1, 2022

Upgrading IT and data security to reduce corporate risk was the No. As enterprises modernize with cloud, connectivity, and data, they are gravitating to technology-as-a-service models to refashion IT estates. 1 CEO priority for respondents to the IDG/Foundry “State of the CIO Study 2022” research , cited by a third of the respondents.

Strategy 98

Strategy Cost-Benefit Risk Management 98

CIO Business Intelligence

MARCH 9, 2022

Today’s cloud strategies revolve around two distinct poles: the “lift and shift” approach, in which applications and associated data are moved to the cloud without being redesigned; and the “cloud-first” approach, in which applications are developed or redesigned specifically for the cloud. Embrace cloud-native principles.

Strategy 145

Strategy Consulting Risk Testing 145

CIO Business Intelligence

JUNE 9, 2023

Such is the case with a data management strategy. Leveraging that data, in AI models, for example, depends entirely on the accessibility, quality, granularity, and latency of your organization’s data. For example, smart hospitals employ effective data management strategies. The important point is to start and keep moving.

Strategy 115

Strategy Management Key Performance Indicator ROI 115

Cloudera

AUGUST 30, 2022

Data-fuelled innovation requires a pragmatic strategy. Our experience so far reveals firms are still in the early stages of understanding the operational model and the total cost of ownership related to data platforms deployed in the cloud compared to on-premise deployments. The final step is the choice of the deployment model.

Strategy 101

Strategy Data Strategy ROI Cost-Benefit 101

O'Reilly on Data

DECEMBER 12, 2019

Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML. Because all ML models make mistakes, everyone who cares about ML should also care about model debugging. [1]

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Machine Learning Modeling Testing Risk Management 192

CIO Business Intelligence

NOVEMBER 16, 2023

A large language model (LLM) is a type of gen AI that focuses on text and code instead of images or audio, although some have begun to integrate different modalities. But there’s a problem with it — you can never be sure if the information you upload won’t be used to train the next generation of the model. Dig Security isn’t alone.

Modeling 139

Modeling Enterprise Marketing Sales 139

CIO Business Intelligence

MAY 16, 2023

In some instances, organizations undertook a thoughtful and planned approach to their multicloud strategies. All these challenges limited the benefits the multicloud model was supposed to unlock. There’s another way to approach the challenge of the multicloud operating model. What is multicloud by design?

Strategy 98

Strategy Cost-Benefit Optimization Modeling 98

CIO Business Intelligence

APRIL 1, 2024

The research cited a lack of talent and skills to work with the technology (62%), unclear AI and GenAI investment priorities (47%), and the absence of a strategy for responsible AI (41%) as the top three obstacles. Reach consensus on strategy. Right-size your model(s). But how do you get there? This playbook can help.

Data Lake 142

Data Lake Consulting Uncertainty Risk 142

CIO Business Intelligence

APRIL 11, 2023

Over the next five years, the healthcare industry is expected to go through dramatic changes as service providers expand value-based care models and equipment manufacturers strive to keep pace in a digital-first world. This means really emphasizing the business partnership and making sure we’re aligning with the business strategy.

Modeling 98

Modeling IT Strategy Uncertainty 98

CIO Business Intelligence

DECEMBER 13, 2022

This post summarizes our conversation and describes some strategies we discussed to derive and demonstrate data analytics program value. business, IT, data management, security, risk and compliance etc.) How are we using data analytics to manage enterprise risk? Arguing with data?

Data Analytics 105

Data Analytics Strategy Analytics Metrics 105

CIO Business Intelligence

MAY 17, 2022

Even if the AI apocalypse doesn’t come to pass, shortchanging AI ethics poses big risks to society — and to the enterprises that deploy those AI systems. The following real-world implementation issues highlight prominent risks every IT leader must account for in putting together their company’s AI deployment strategy.

Risk 145

Risk Consulting Machine Learning Data Science 145

CIO Business Intelligence

DECEMBER 13, 2022

Our digital transformation strategy is centered around establishing a consumer-oriented model that helps us customize chronic care management based on the ever-changing conditions of each patient.” Tim Scannell: How much of a role do technologies like data analytics and AI play in DaVita’s overall technology and business strategy?

Strategy 98

Strategy Technology Digital Transformation Data Lake 98

IBM Big Data Hub

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

Strategy 94

Strategy Data Architecture Cost-Benefit Reporting 94

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. Outsourcing IT operations has become a smart business strategy. Include the enterprise risk management team.

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Modeling Risk Management Internet of Things Risk 95