CIO Business Intelligence

DECEMBER 11, 2024

We are now deciphering rules from patterns in data, embedding business knowledge into ML models, and soon, AI agents will leverage this data to make decisions on behalf of companies. If a model encounters an issue in production, it is better to return an error to customers rather than provide incorrect data.

Management 111

Management Data Governance Data Science Reporting 111

CIO Business Intelligence

NOVEMBER 1, 2024

One of the world’s largest risk advisors and insurance brokers launched a digital transformation five years ago to better enable its clients to navigate the political, social, and economic waves rising in the digital information age. Simultaneously, major decisions were made to unify the company’s data and analytics platform.

IT 122

IT Insurance Consulting Risk 122

CIO Business Intelligence

OCTOBER 9, 2024

However, this enthusiasm may be tempered by a host of challenges and risks stemming from scaling GenAI. Depending on your needs, large language models (LLMs) may not be necessary for your operations, since they are trained on massive amounts of text and are largely for general use.

Strategy 143

Strategy Modeling Management Data Lake 143

CIO Business Intelligence

JANUARY 3, 2024

According to an O’Reilly survey released late last month, 23% of companies are using one of OpenAI’s models. Other respondents said they aren’t using any generative AI models, are building their own, or are using an open-source alternative. And it’s not just start-ups that can expose an enterprise to AI-related third-party risk.

Risk 131

Risk Enterprise Modeling Marketing 131

CIO Business Intelligence

SEPTEMBER 9, 2024

As IT landscapes and software delivery processes evolve, the risk of inadvertently creating new vulnerabilities increases. These risks are particularly critical for financial services institutions, which are now under greater scrutiny with the Digital Operational Resilience Act ( DORA ).

Risk Management 115

Risk Management Risk Management IT 115

O'Reilly on Data

JANUARY 17, 2023

Building Models. A common task for a data scientist is to build a predictive model. You’ll try this with a few other algorithms, and their respective tuning parameters–maybe even break out TensorFlow to build a custom neural net along the way–and the winning model will be the one that heads to production.

Machine Learning 363

Machine Learning Predictive Modeling Software Modeling 363

CIO Business Intelligence

NOVEMBER 1, 2024

One of the world’s largest risk advisors and insurance brokers launched a digital transformation five years ago to better enable its clients to navigate the political, social, and economic waves rising in the digital information age. Simultaneously, major decisions were made to unify the company’s data and analytics platform.

IT 105

IT Insurance Consulting Risk 105

CIO Business Intelligence

FEBRUARY 14, 2023

Kevin Grayling, CIO, Florida Crystals Florida Crystals It’s ASR that had the more modern SAP installation, S/4HANA 1709, running in a virtual private cloud hosted by Virtustream, while its parent languished on SAP Business Suite. One of those requirements was to move out of its hosting provider data center and into a hyperscaler’s cloud.

Data Processing 98

Data Processing Cost-Benefit Testing Finance 98

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 80

Risk Modeling Risk Management Measurement 80

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

CIO Business Intelligence

JANUARY 9, 2025

They struggle with ensuring consistency, accuracy, and relevance in their product information, which is critical for delivering exceptional shopping experiences, training reliable AI models, and building trust with their customers. Perhaps most concerning is the increased compliance risk that stems from inconsistent product information.

B2B 105

B2B Cost-Benefit Data-driven Sales 105

CIO Business Intelligence

NOVEMBER 19, 2024

Mitigating infrastructure challenges Organizations that rely on legacy systems face a host of potential stumbling blocks when they attempt to integrate their on-premises infrastructure with cloud solutions. Their collaboration enables real-time delivery of insights for risk management, fraud detection, and customer personalization.

Analytics 97

Analytics Cost-Benefit Finance Data-driven 97

O'Reilly on Data

MARCH 31, 2020

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. For machine learning systems used in consumer internet companies, models are often continuously retrained many times a day using billions of entirely new input-output pairs.

Management 363

Management Machine Learning Experimentation Metrics 363

erwin

MARCH 24, 2020

Technical teams charged with maintaining and executing these processes require detailed tasks, and business process modeling is integral to their documentation. erwin’s Evolve software is integral to modeling process flow requirements, but what about the technology side of the equation?

Modeling 97

Modeling Data Processing Software Finance 97

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 Sales Marketing 139

CIO Business Intelligence

JULY 5, 2023

Addressing semiconductor supply chain risks Even before the most recent supply chain challenges, political leaders around the world have been taking a close look at the current semiconductor supply chain model. Some of that risk is being addressed at national and regional levels, such as the U.S. CHIPS Act and the EU Chips Act.

Risk 96

Risk Manufacturing Cost-Benefit Data Processing 96

CIO Business Intelligence

MAY 6, 2024

2023: Greater flexibility, challenging decisions In 2023, the cloud services space — including hosting and managed and migration services — continued to experience impressive growth, eclipsing $564B in total spend. Here is a closer look at recent and forecasted developments in the cloud market that CIOs should be aware of.

Marketing 131

Marketing Strategy IT Data Processing 131

IBM Big Data Hub

SEPTEMBER 7, 2023

Today we are announcing our latest addition: a new family of IBM-built foundation models which will be available in watsonx.ai , our studio for generative AI, foundation models and machine learning. Collectively named “Granite,” these multi-size foundation models apply generative AI to both language and code.

Modeling 101

Modeling Risk Unstructured Data Enterprise 101

CIO Business Intelligence

JULY 5, 2024

According to Gartner, Broadcom’s new licensing models, which transition from enterprise license agreements to more complex consumption models, can force businesses to pay 2-3 times more. Revirtualization is typically undertaken to overcome a technical deficiency or to address a viability or commercial risk, the report mentioned.

Cost-Benefit 124

Cost-Benefit Data Processing Reporting Enterprise 124

O'Reilly on Data

APRIL 22, 2020

For example, payday lending businesses are no doubt compliant with the law, but many aren’t models for good corporate citizenship. If harmful business models do not change, ethics leaders will be fighting a losing battle. You can hire compliance experts to advise you, and lawyers to defend you. Ethics is much more slippery.

Cost-Benefit 312

Cost-Benefit Finance Data-driven Strategy 312

CIO Business Intelligence

AUGUST 25, 2022

The adoption of hybrid cloud accelerated the development of new business models, experiences, and efficiencies across all industries. The notion of gaining public cloud-like benefits from running compute in a colocation model can be taken even further through the right partnership.

Risk 98

Risk Data Processing Cost-Benefit Digital Transformation 98

CIO Business Intelligence

MAY 14, 2024

Private cloud providers may be among the key beneficiaries of today’s generative AI gold rush as, once seemingly passé in favor of public cloud, CIOs are giving private clouds — either on-premises or hosted by a partner — a second look. You don’t want a mistake to happen and have it end up ingested or part of someone else’s model.

IT 143

IT Data Processing Enterprise Modeling 143

CIO Business Intelligence

JANUARY 9, 2025

Responsible AI: Balancing innovation and risk The rise of generative AI has put a mirror in front of companies, showing them the work they have to do to strategically leverage their data. Theres a checklist on what you should be asking them, so theres the risk education as well, she says.

Risk 90

Risk Business Driver Data-driven Strategy 90

CIO Business Intelligence

JULY 26, 2024

Despite digital transformation being a highly effective way to further develop the long-term business model, it can be a very drawn-out and arduous process. It also means some individual cloud projects fail, there’s been a change of provider, or there’s some disillusionment regarding costs of new cloud operating models.

Digital Transformation 143

Digital Transformation Cost-Benefit Data Processing Risk 143

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 68

Insurance Risk Testing Data Quality 68

Sisense

MARCH 2, 2020

Introducing the Sisense Data Model APIs. The new Sisense Data Model APIs extend the capabilities provided by the Sisense REST APIs. Builders will be able to programmatically create and modify Sisense Data Models using fully RESTful and JSON-based APIs. You may be asking “What’s a Sisense Data Model, exactly?”

Modeling 87

Modeling Data-driven Dashboards Testing 87

CIO Business Intelligence

SEPTEMBER 23, 2024

For sectors such as industrial manufacturing and energy distribution, metering, and storage, embracing artificial intelligence (AI) and generative AI (GenAI) along with real-time data analytics, instrumentation, automation, and other advanced technologies is the key to meeting the demands of an evolving marketplace, but it’s not without risks.

Manufacturing 122

Manufacturing Internet of Things Metadata Risk 122

CIO Business Intelligence

SEPTEMBER 8, 2023

The easy things: A clear understanding of AI terminology and risks There’s a host of things that can be established with relative ease early in an organization’s AI journey. What is this model good at and what should be the boundaries on how and where it’s applied? Understanding limitations helps to prevent misuse down the line.

Risk 126

Risk Strategy Modeling Data Processing 126

AWS Big Data

DECEMBER 4, 2024

With this approach, each node in ANZ maintains its divisional alignment and adherence to data risk and governance standards and policies to manage local data products and data assets. This model balances node or domain-level autonomy with enterprise-level oversight, creating a scalable and consistent framework across ANZ.

Metadata 94

Metadata Data Governance Data Quality Data-driven 94

CIO Business Intelligence

MAY 28, 2022

Eight years ago, McGlennon hosted an off-site think tank with his staff and came up with a “technology manifesto document” that defined in those early days the importance of exploiting cloud-based services, becoming more agile, and instituting cultural changes to drive the company’s digital transformation.

Insurance 145

Insurance Machine Learning Digital Transformation Cost-Benefit 145

AWS Big Data

OCTOBER 29, 2024

This makes sure that only authorized users or applications can access specific data sets or portions of data, but also reduces the risk of unauthorized access or data breaches. This hybrid approach allows providers and consumers to migrate at their own pace, maintaining a smooth transition to the new access control model.

Data Lake 89

Data Lake Sales Metadata Machine Learning 89

CIO Business Intelligence

AUGUST 16, 2023

ChatGPT is capable of doing many of these tasks, but the custom support chatbot is using another model called text-embedding-ada-002, another generative AI model from OpenAI, specifically designed to work with embeddings—a type of database specifically designed to feed data into large language models (LLM).

Modeling 98

Modeling Enterprise Cost-Benefit Data Science 98

Smart Data Collective

AUGUST 30, 2022

It also allows companies to offload large amounts of data from their networks by hosting it on remote servers anywhere on the globe. The model enables easy transfer of cloud services between different geographic regions, either onshore or offshore. Cloud technology has proven to be an excellent model for large companies.

Technology 140

Technology Enterprise Cost-Benefit Data Processing 140

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 Data Science 137

CIO Business Intelligence

JULY 1, 2024

Medium-sized companies are actively experimenting with and developing AI models, while small companies, often constrained by resources, show the highest percentage not actively considering GenAI. The survey reveals that cost is the least important factor, suggesting a willingness to invest in high-quality, reliable models.

Testing 125

Testing Data Processing Modeling Data-driven 125

Smart Data Collective

SEPTEMBER 13, 2022

” Software as a service (SaaS) is a software licensing and delivery paradigm in which software is licensed on a subscription basis and is hosted centrally. The SaaS business model is gaining acceptance throughout the world. Businesses with adaptive strategies, cultures, and business models always have a competitive advantage.

Cost-Benefit 126

Cost-Benefit Data Processing Software Data-driven 126

CIO Business Intelligence

JUNE 11, 2024

Pegasystems has announced plans to expand the capabilities of its Pega GenAI enterprise platform by connecting to both Amazon Web Services (AWS) and Google Cloud large language models (LLMs). The new services are currently on display at PegaWorld INspire annual conference taking place this week in Las Vegas.

Data Governance 119

Data Governance Modeling Data Processing Machine Learning 119