CIO Business Intelligence

AUGUST 20, 2024

CIOs have a new opportunity to communicate a gen AI vision for using copilots and improve their collaborative cultures to help accelerate AI adoption while avoiding risks. They must define target outcomes, experiment with many solutions, capture feedback, and seek optimal paths to delivering multiple objectives while minimizing risks.

IT 141

IT Digital Transformation Experimentation Risk 141

CIO Business Intelligence

DECEMBER 11, 2024

Newly released research from SASs Data and AI Pulse Survey 2024 Asia Pacific finds that only 18% of organisations can be categorised as AI leaders, where the organisation has an AI strategy and long-term investment plans in place. Issues around data governance and challenges around clear metrics follow the top challenge areas.

ROI 59

ROI Experimentation Insurance Strategy 59

CIO Business Intelligence

MARCH 19, 2025

This can cause risk without a clear business case. This enforces the need for good data governance, as AI models will surface incorrect data more frequently, and most likely at a greater cost to the business. They also have responsibility to build out the critical data products that are core to our business.

Metrics 64

Metrics Enterprise Cost-Benefit Experimentation 64

CIO Business Intelligence

DECEMBER 19, 2023

In the 2023 State of Data Science and Machine Learning Report , only 18% of respondents said that at least half their machine learning models make it into production. If CIOs don’t improve conversions from pilot to production, they may find their investors losing patience in the process and culture of experimentation.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

Cloudera

JANUARY 28, 2022

Customers vary widely on the topic of public cloud – what data sources, what use cases are right for public cloud deployments – beyond sandbox, experimentation efforts. Hybrid Data Cloud includes a Multi-cloud approach. Managing Cloud Concentration Risk.

Slice and Dice 115

Slice and Dice Cost-Benefit Data Governance Risk 115

DataRobot

JANUARY 20, 2022

As health and care delivery converges, analytical staff will be required to work across more boundaries with larger volumes of data than ever before. . Specialized teams from DataRobot and Snowflake will enable ICSs to mitigate data governance and model bias risk with confidence. Public sector data sharing.

Data-driven 145

Data-driven Experimentation Predictive Modeling Data Warehouse 145

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. There may be times when department-specific data needs and tools are required.

IT 137

IT Risk Cost-Benefit Data Science 137

CIO Business Intelligence

OCTOBER 3, 2024

Data security is one major advantage of running machine learning models and LLMs on the Z mainframe. Without needing to distribute data to disparate systems for AI analysis, enterprises will be less likely to compromise on their data governance and security. Huge savings in hardware — particularly on GPUs — is another.

Machine Learning 140

Machine Learning Experimentation Insurance Modeling 140

CIO Business Intelligence

DECEMBER 7, 2023

Over the last year, generative AI—a form of artificial intelligence that can compose original text, images, computer code, and other content—has gone from experimental curiosity to a tech revolution that could be one of the biggest business disruptors of our generation.

Insurance 89

Insurance Experimentation Finance Data Governance 89

CIO Business Intelligence

SEPTEMBER 30, 2024

-based research firm is proud of its mission to deliver accurate data to ensure goods and services are distributed with equity and precision in a socially just manner. Once we get more data from across a couple of areas into Mquiry, I would love to see the insights it might show us and do some training against that data.

Data Quality 116

Data Quality Experimentation Insurance Statistics 116

IBM Big Data Hub

JUNE 10, 2024

Cloud-based XaaS solutions provide scalability, flexibility and access to a wide range of AI tools and services, while on-premises XaaS offerings enable greater control over data governance, compliance and security. Embracing a culture of experimentation helps businesses drive innovation while minimizing financial risk.

Experimentation 62

Experimentation Optimization Risk Management Machine Learning 62

CIO Business Intelligence

AUGUST 1, 2023

As many CIOs prepare their 2024 budgets and digital transformation priorities, developing a strategy that seeks opportunities to evolve business models, targets near-term operational impacts, prioritizes where employees should experiment, and defines AI-related risk-mitigating plans is imperative.

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Data Science 98

CIO Business Intelligence

AUGUST 14, 2024

Concerns over exposing data to staff who shouldn’t have access has delayed some Copilot deployments, Wong says. After the excitement and experimentation of last year, CIOs are more deliberate about how they implement gen AI, making familiar ROI decisions, and often starting with customer support.

Enterprise 136

Enterprise Cost-Benefit Experimentation Modeling 136

AWS Big Data

SEPTEMBER 13, 2024

Over the years, CFM has received many awards for their flagship product Stratus, a multi-strategy investment program that delivers decorrelated returns through a diversified investment approach while seeking a risk profile that is less volatile than traditional market indexes. It was first opened to investors in 1995.

Interactive 111

Interactive Strategy Cost-Benefit Data Governance 111

IBM Big Data Hub

JANUARY 17, 2023

IBM Cloud Pak for Data Express solutions provide new clients with affordable and high impact capabilities to expeditiously explore and validate the path to become a data-driven enterprise. IBM Cloud Pak for Data Express solutions offer clients a simple on ramp to start realizing the business value of a modern architecture.

Data-driven 56

Data-driven Enterprise Data Governance Data Science 56

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models. Automated development: With AutoAI , beginners can quickly get started and more advanced data scientists can accelerate experimentation in AI development.

Machine Learning 71

Machine Learning Manufacturing Deep Learning Cost-Benefit 71

Domino Data Lab

JULY 2, 2019

Some may ask: “Can’t we all just go back to the glory days of business intelligence, OLAP, and enterprise data warehouses?” One clear lesson of the early 21st century: strategies at scale that rely on centralization are generally risks (John Robb explores that in detail in Brave New War which I’ve just been reading – good stuff).

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

O'Reilly on Data

JULY 28, 2020

Without clarity in metrics, it’s impossible to do meaningful experimentation. AI PMs must ensure that experimentation occurs during three phases of the product lifecycle: Phase 1: Concept During the concept phase, it’s important to determine if it’s even possible for an AI product “ intervention ” to move an upstream business metric.

Marketing 364

Marketing Experimentation Metrics Testing 364

CIO Business Intelligence

APRIL 9, 2025

In Prioritizing AI investments: Balancing short-term gains with long-term vision , I addressed the foundational role of data trust in crafting a viable AI investment strategy. Absent governance and trust, the risks are higher as organizations adopt increasingly sophisticated analytics.

Enterprise 102

Enterprise Analytics Experimentation Statistics 102

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. Humans can’t keep up.

Insurance 150

Insurance Risk IoT Data-driven 150

CIO Business Intelligence

FEBRUARY 14, 2024

As the cost of data storage has fallen, many organizations are keeping unnecessary data, or cleaning up data that’s out of date or no longer useful after a migration or reorganization. But by 2027, the analyst firm expects that to rise to at least 40%.

IT 143

IT Metadata Data-driven Management 143

CIO Business Intelligence

NOVEMBER 19, 2024

This stark contrast between experimentation and execution underscores the difficulties in harnessing AI’s transformative power. Data privacy and compliance issues Failing: Mismanagement of internal data with external models can lead to privacy breaches and non-compliance with regulations.

Consulting 137

Consulting Cost-Benefit Experimentation Optimization 137

CIO Business Intelligence

APRIL 16, 2025

: Trusted advisor: While enterprise architects can often be seen as the catalysts for technology they must provide credible guidance to business leadership, offering insights into technology trends, risks and opportunities and avoid repeating mistakes of the past. They must ensure any gaps are identified and addressed accordingly.

Enterprise 124

Enterprise Strategy Risk Business Objectives 124

O'Reilly on Data

JANUARY 7, 2020

As these disciplines merge, data professionals will need a basic understanding of AI, and AI experts will need a foundation in solid data practices—and, likely, a more formal commitment to data governance. That’s why we decided to merge the 2020 O’Reilly AI and Strata Data Conferences in San Jose, London, and New York.

Deep Learning 291

Deep Learning Machine Learning Experimentation Modeling 291

CIO Business Intelligence

MAY 6, 2025

Predictive analytics: Turning insight into foresight Predictive analytics uses historical data and statistical models or machine learning algorithms to answer the question, What is likely to happen? These capabilities are no longer theoretical or experimental. This is where analytics begins to proactively impact decision-making.

Prescriptive Analytics 78

Prescriptive Analytics Predictive Analytics Descriptive Analytics ROI 78