CIO Business Intelligence

JANUARY 10, 2025

As leaders work to define the right metrics, those measures must be tightly aligned with the business strategy and should account for the cost of not investing. As gen AI adoption accelerates, enterprises face a pivotal moment: embrace AIs potential to transform business or risk falling behind in a rapidly evolving digital economy.

ROI 81

ROI Enterprise Broadcasting Metrics 81

DataRobot Blog

DECEMBER 6, 2022

Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results. Taking a Multi-Tiered Approach to Model Risk Management. Data scientists are in demand: the U.S. Explore these 10 popular blogs that help data scientists drive better data decisions.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

CIO Business Intelligence

MARCH 19, 2025

Mark Brooks, who became CIO of Reinsurance Group of America in 2023, did just that, and restructured the technology organization to support the platform, redefined the programs success metrics, and proved to the board that IT is a good steward of the dollar. This can cause risk without a clear business case. Thats a critical piece.

Metrics 64

Metrics Enterprise Cost-Benefit Experimentation 64

Corinium

JUNE 6, 2019

Regulations and compliance requirements, especially around pricing, risk selection, etc., It is also important to have a strong test and learn culture to encourage rapid experimentation. Measure user adoption and engagement metrics to not just understand products take-up, but also to enhance the overall product propositions.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

CIO Business Intelligence

DECEMBER 11, 2024

Research from IDC predicts that we will move from the experimentation phase, the GenAI scramble that we saw in 2023 and 2024, and mature into the adoption phase in 2025/26 before moving into AI-fuelled businesses in 2027 and beyond. Issues around data governance and challenges around clear metrics follow the top challenge areas.

ROI 59

ROI Experimentation Insurance Strategy 59

CIO Business Intelligence

JULY 5, 2024

So, to maximize the ROI of gen AI efforts and investments, it’s important to move from ad-hoc experimentation to a more purposeful strategy and systematic approach to implementation. For AI and other areas, a corporate use policy can help educate users to potential risk areas, and hence manage risk, while still encouraging innovation.

ROI 124

ROI Experimentation Risk Cost-Benefit 124

CIO Business Intelligence

NOVEMBER 15, 2022

Experiment with the “highly visible and highly hyped”: Gartner repeatedly pointed out that organisations that innovate during tough economic times “stay ahead of the pack”, with Mesaglio in particular calling for such experimentation to be public and visible.

Digital Transformation 143

Digital Transformation Machine Learning Experimentation Metrics 143

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

CIO Business Intelligence

AUGUST 15, 2024

Many of those gen AI projects will fail because of poor data quality, inadequate risk controls, unclear business value , or escalating costs , Gartner predicts. CIOs should first launch internal projects with low public-facing exposure , which can mitigate risk and provide a controlled environment for experimentation.

ROI 143

ROI Cost-Benefit Experimentation Deep Learning 143

DataRobot Blog

JANUARY 10, 2023

Data science teams of all sizes need a productive, collaborative method for rapid AI experimentation. Clinics and hospitals like Phoenix Children’s use AI to predict which patients are at risk of contracting an illness so that they can then prescribe medication and treatment accordingly. Auto-scale compute.

Experimentation 52

Experimentation Machine Learning Data Science Modeling 52

CIO Business Intelligence

MAY 1, 2024

Pilots can offer value beyond just experimentation, of course. McKinsey reports that industrial design teams using LLM-powered summaries of user research and AI-generated images for ideation and experimentation sometimes see a reduction upward of 70% in product development cycle times. Now nearly half of code suggestions are accepted.

Cost-Benefit 143

Cost-Benefit Metrics Insurance Measurement 143

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

Smart Data Collective

JULY 9, 2023

Understanding E-commerce Conversion Rates There are a number of metrics that data-driven e-commerce companies need to focus on. It is a crucial metric that provides priceless information about your website’s ability to transform visitors into paying customers. Some of the most important is conversion rates.

Optimization 97

Optimization Data Analytics Analytics Data-driven 97

CIO Business Intelligence

NOVEMBER 13, 2023

Foster a culture of innovation: Digital transformation requires innovation and experimentation, and thus a culture for embracing new technologies and ideas. IT leaders help facilitate a shift in organizational mindset toward a willingness to take risks and learn from failures.

Digital Transformation 143

Digital Transformation Cost-Benefit Experimentation Measurement 143

DataRobot Blog

MARCH 16, 2023

Why model-driven AI falls short of delivering value Teams that just focus model performance using model-centric and data-centric ML risk missing the big picture business context. New Snowflake integrations and the SAP joint solution have tightened the data to experimentation to deployment loop.

Experimentation 98

Experimentation Data-driven Modeling Metadata 98

IBM Big Data Hub

JUNE 10, 2024

XaaS models offer organizations greater predictability and transparency in cost management by providing detailed billing metrics and usage analytics. Facilitating rapid experimentation and innovation In the age of AI, rapid experimentation and innovation are essential for staying ahead of the competition.

Experimentation 62

Experimentation Optimization Risk Management Machine Learning 62

CIO Business Intelligence

MARCH 5, 2024

Many other platforms, such as Coveo’s Relative Generative Answering , Quickbase AI , and LaunchDarkly’s Product Experimentation , have embedded virtual assistant capabilities but don’t brand them copilots. As copilot technology capabilities are changing rapidly, leaders should frequently identify metrics and evaluate strategies.

Advertising 124

Advertising Cost-Benefit Experimentation Reporting 124

DataRobot Blog

OCTOBER 18, 2022

Model Observability – the ability to track key health and service metrics for models in production – remains a top priority for AI-enabled organizations. Learn more about the DataRobot AI Cloud and the ability to accelerate your experimentation and production timelines. DataRobot Booth at Big Data & AI Toronto 2022.

Big Data 96

Big Data Forecasting Experimentation Machine Learning 96

CIO Business Intelligence

JULY 11, 2023

For example, a good result in a single clinical trial may be enough to consider an experimental treatment or follow-on trial but not enough to change the standard of care for all patients with a specific disease. The company must ensure that their sensitive information remains confidential and protected from potential competitors.

Modeling 95

Modeling Testing Experimentation Risk Management 95

Sisense

JANUARY 21, 2020

One of the simplest ways to start exploring your data is to aggregate the metrics you are interested in by their relevant dimensions. A new drug promising to reduce the risk of heart attack was tested with two groups. When the data is combined, it seems that the drug reduces the risk of getting a heart attack.

Testing 104

Testing Data-driven Risk Statistics 104

Domino Data Lab

JUNE 23, 2019

Skomoroch proposes that managing ML projects are challenging for organizations because shipping ML projects requires an experimental culture that fundamentally changes how many companies approach building and shipping software. Another pattern that I’ve seen in good PMs is that they’re very metric-driven.

Management 110

Management Machine Learning Experimentation Metrics 110

CIO Business Intelligence

APRIL 18, 2022

They run the risk of miscommunication and misaligned business, technology, and operational strategy across the CXO team. They also advise communicating the dashboard’s value consistently since that will drive effective dashboard use, both to increase adoption and to improve company performance on key dashboard metrics, the brief says.

Digital Transformation 145

Digital Transformation Dashboards Cost-Benefit Consulting 145

Cloudera

OCTOBER 8, 2024

By 2023, the focus shifted towards experimentation. A major risk is data exposure — AI systems must be designed to align with company ethics and meet strict regulatory standards without compromising functionality. These innovations pushed the boundaries of what generative AI could achieve.

Optimization 75

Optimization Experimentation Metrics Enterprise 75

CIO Business Intelligence

MAY 16, 2023

It surpasses blockchain and metaverse projects, which are viewed as experimental or in the pilot stage, especially by established enterprises. Information governance enables enterprises to achieve strategic goals, mitigate risk, and reduce costs. Conversations suggest that AI is already transforming most major industries.

Advertising 105

Advertising Recreation/Entertainment Experimentation Data Collection 105

IBM Big Data Hub

MARCH 4, 2024

While many organizations have implemented AI, the need to keep a competitive edge and foster business growth demands new approaches: simultaneously evolving AI strategies, showcasing their value, enhancing risk postures and adopting new engineering capabilities. Otherwise, the risks become too significant.

Enterprise 96

Enterprise ROI Risk Strategy 96

Domino Data Lab

JUNE 10, 2020

It establishes a consistent approach for monitoring across teams and models so you can break down departmental silos, eliminate inconsistent or infrequent monitoring practices, and establish a standard for model health metrics across your organization. In Domino 4.2

Data Science 82

Data Science Enterprise Experimentation Modeling 82

AWS Big Data

JULY 20, 2023

Orca Security is an industry-leading Cloud Security Platform that identifies, prioritizes, and remediates security risks and compliance issues across your AWS Cloud estate. Orca monitored the cluster status and resource usage of Amazon EMR by utilizing the available metrics through Amazon CloudWatch.

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

AWS Big Data

MAY 2, 2023

If your updates to a dataset triggers multiple subsequent DAGs, then you can use the Airflow metric max_active_tasks_per_dag to control the parallelism of the consumer DAG and reduce the chance of overloading the system. Removal of experimental Smart Sensors. Let’s demonstrate this with a code example. Apache Airflow v2.4.3

Testing 131

Testing Experimentation Management Metadata 131

DataRobot Blog

MARCH 7, 2023

DataRobot on Azure accelerates the machine learning lifecycle with advanced capabilities for rapid experimentation across new data sources and multiple problem types. The capability to rapidly build an AI-powered organization with industry-specific solutions and expertise. The DataRobot AI Platform is the next generation of AI.

Data-driven 59

Data-driven Machine Learning Experimentation Data Lake 59

IBM Big Data Hub

DECEMBER 4, 2023

And the abundance of data available for training models has opened up vast possibilities for experimentation and learning. Ensuring that generative AI models adhere to ethical guidelines and that adequate processes are in place to mitigate risks and biases is essential.

Experimentation 63

Experimentation Machine Learning Metrics Modeling 63

CIO Business Intelligence

JUNE 27, 2022

Tyson: You’re coming up to two years since you added Sentry’s ability to monitor for performance which has some pretty fine-grained metrics in terms of identifying where bottlenecks are located in code. A lot of the current approaches feel very experimental and are tough to see as maintainable, so there’s certainly still room for growth here.

Software 115

Software Experimentation Testing Marketing 115

DataRobot Blog

SEPTEMBER 30, 2022

By tracking service, drift, prediction data, training data, and custom metrics, you can keep your models and predictions relevant in a fast-changing world. Adoption of AI/ML is maturing from experimentation to deployment. How do you track the integrity of a machine learning model in production? Model Observability can help.

Slice and Dice 52

Slice and Dice Modeling Metrics Experimentation 52

Cloudera

JUNE 6, 2019

In this case, an individual with different types of workloads may have access to multiple clusters; the admin trades increased risk of a noisy neighbor for better infrastructure efficiency. 3) By workload priority. A third strategy splits clusters based on the overall priority of the workloads running on those clusters.

Metadata 86

Metadata Data Lake Optimization Strategy 86

Sisense

NOVEMBER 23, 2020

Marketing needs quantitative metrics to justify every dollar they’re spending, the return they’re getting, and the revenue generated, so it’s one of the best examples of why you need a data-driven, evidence-based decision making culture within an organization,” he explains. Right tools/open source.

Analytics 98

Analytics Data-driven Marketing Reporting 98

IBM Big Data Hub

SEPTEMBER 25, 2023

Large, untested workloads run the risk of hogging all the resources. Data Exploration and Innovation: The flexibility of Presto has encouraged data exploration and experimentation at Uber. The power of Presto in Uber’s data-driven journey Today, Uber relies on Presto to power some impressive metrics.

OLAP 86

OLAP Data Lake Data-driven Online Analytical Processing 86

O'Reilly on Data

JULY 28, 2020

The first step in building an AI solution is identifying the problem you want to solve, which includes defining the metrics that will demonstrate whether you’ve succeeded. It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about. Agreeing on metrics.

Marketing 364

Marketing Experimentation Metrics Testing 364

The Unofficial Google Data Science Blog

MAY 31, 2016

A geo experiment is an experiment where the experimental units are defined by geographic regions. This means it is possible to specify exactly in which geos an ad campaign will be served – and to observe the ad spend and the response metric at the geo level. They are non-overlapping geo-targetable regions. by turning campaigns off).

Advertising 43

Advertising Testing Sales Statistics 43