CIO Business Intelligence

OCTOBER 5, 2023

Sandeep Davé knows the value of experimentation as well as anyone. As chief digital and technology officer at CBRE, Davé recognized early that the commercial real estate industry was ripe for AI and machine learning enhancements, and he and his team have tested countless use cases across the enterprise ever since.

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Experimentation Strategy Machine Learning Interactive 125

Smarten

MAY 17, 2023

Whether you are looking at ChatGPT or Open AI and wondering how it might be applied to your business environment, it is important to understand the current state of this technology, the inherent risks and the possible opportunities. Creating Summary Data for Unstructured Documents (PDFs, HTML, Websites, etc.)

Digital Transformation 52

Digital Transformation Experimentation Risk Testing 52

CIO Business Intelligence

JULY 28, 2023

In addition to bottom-line benefits, employees are often inspired and motivated by innovation – seeking job opportunities that encourage experimentation and embrace new ideas. Fostering a culture of innovation in IT requires you to accept some level of risk. A closed feedback loop with end users at this stage is critical as well.

IT 98

IT Experimentation Digital Transformation Marketing 98

CIO Business Intelligence

MARCH 7, 2023

Vince Kellen understands the well-documented limitations of ChatGPT, DALL-E and other generative AI technologies — that answers may not be truthful, generated images may lack compositional integrity, and outputs may be biased — but he’s moving ahead anyway. Michal Cenkl, director of innovation and experimentation, Mitre Corp.

Enterprise 115

Enterprise IT Experimentation Unstructured Data 115

CIO Business Intelligence

OCTOBER 18, 2023

But if there are any stop signs ahead regarding risks and regulations around generative AI, most enterprise CIOs are blowing past them, with plans to deploy an abundance of gen AI applications within the next two years if not already. A recent survey of nearly 1,000 IT decision-makers conducted by Foundry underscores this. “As

Risk 138

Risk Manufacturing Enterprise Technology 138

CIO Business Intelligence

AUGUST 17, 2023

But, as with any big new wave, there is a risk of once-promising projects being washed up and there are clear and obvious concerns over governance, quality and security. We ran workshops with every division of our business, educating them on the accelerating innovation in this area, brainstorming opportunities and risks.

Risk 95

Risk Cost-Benefit Strategy Experimentation 95

CIO Business Intelligence

JULY 31, 2023

As vendors add generative AI to their enterprise software offerings, and as employees test out the tech, CIOs must advise their colleagues on the pros and cons of gen AI’s use as well as the potential consequences of banning or limiting it. The CIO’s job is to ask questions about potential scenarios.

Strategy 97

Strategy Risk Enterprise Risk Management 97

AWS Big Data

MAY 2, 2023

Test the feature To test this feature, run the producer DAG. Removal of experimental Smart Sensors. For detailed release documentation with sample code, visit the Apache Airflow v2.4.0 How dynamic task mapping works Let’s see an example using the reference code available in the Airflow documentation. Airflow v2.4.0

Testing 97

Testing Experimentation Management Metadata 97

IBM Big Data Hub

APRIL 18, 2024

While leaders have some reservations about the benefits of current AI, organizations are actively investing in gen AI deployment, significantly increasing budgets, expanding use cases, and transitioning projects from experimentation to production. Code (62%) : Gen AI helps developers write code more efficiently and with fewer errors.

Cost-Benefit 88

Cost-Benefit Modeling Manufacturing Interactive 88

Domino Data Lab

APRIL 7, 2019

A good NLP library will, for example, correctly transform free text sentences into structured features (like cost per hour and is diabetic ), that easily feed into a machine learning (ML) or deep learning (DL) pipeline (like predict monthly cost and classify high risk patients ).

Deep Learning 110

Deep Learning Machine Learning Experimentation Modeling 110

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.

Cost-Benefit 129

Cost-Benefit Metrics Insurance Measurement 129

DataRobot Blog

JANUARY 10, 2023

ML model builders spend a ton of time running multiple experiments in a data science notebook environment before moving the well-tested and robust models from those experiments to a secure, production-grade environment for general consumption. Capabilities Beyond Classic Jupyter for End-to-end Experimentation. Auto-scale compute.

Experimentation 52

Experimentation Machine Learning Data Science Modeling 52

CIO Business Intelligence

APRIL 24, 2024

We’ve been doing proof-of-value and different test cases on efficiency opportunities within our organization as it relates to AI,” he says. A third gen AI product, BenefitsGPT, isn’t yet commercially available, but is currently being tested by three other Blue Cross Blue Shield organizations. But then you’re just playing catch-up.

Sales 127

Sales Finance Experimentation Cost-Benefit 127

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. Today, top AI-assistant capabilities delivering results include generating code, test cases, and documentation.

Cost-Benefit 119

Cost-Benefit Advertising Experimentation Software 119

CIO Business Intelligence

APRIL 5, 2023

Midjourney, ChatGPT, Bing AI Chat, and other AI tools that make generative AI accessible have unleashed a flood of ideas, experimentation and creativity. That turns generic documentation into conversational programming where the AI can take your data and show you how to write a query, for example.

Modeling 102

Modeling Testing Cost-Benefit Experimentation 102

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

O'Reilly on Data

MARCH 23, 2023

What is it, how does it work, what can it do, and what are the risks of using it? It’s by far the most convincing example of a conversation with a machine; it has certainly passed the Turing test. Be very careful about documents that require any sort of precision. ChatGPT can be very convincing even when it is not accurate.

IT 262

IT Modeling Testing Risk 262

The Unofficial Google Data Science Blog

JUNE 30, 2016

In an ideal world, experimentation through randomization of the treatment assignment allows the identification and consistent estimation of causal effects. A naïve way to solve this problem would be to compare the proportion of buyers between the exposed and unexposed groups, using a simple test for equality of means.

Statistics 44

Statistics Optimization Modeling Experimentation 44

Domino Data Lab

JULY 2, 2019

People look toward online resources such as StackOverflow to find out how to use APIs when the documentation doesn’t have an example that fits. several aspects of that earlier U Washington project seem remarkably similar, including the experimental design, train/test data source, and even the slides.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Domino Data Lab

AUGUST 26, 2019

This control prevents overfitting and reduction in predictive accuracy on new test data. If we don’t like the result of testing after training, we can also select an entirely different learning machine with different internals. If you look at the documentation, you’ll see that n_neighbors and p are simply integers.

Testing 79

Testing Modeling Machine Learning Metrics 79

CIO Business Intelligence

FEBRUARY 9, 2024

Establish a corporate use policy As I mentioned in an earlier article , a corporate use policy and associated training can help educate employees on some risks and pitfalls of the technology, and provide rules and recommendations to get the most out of the tech, and, therefore, the most business value without putting the organization at risk.

IT 137

IT Experimentation Risk Testing 137

CIO Business Intelligence

APRIL 15, 2024

No one wants to implement AI that has a high risk of bias,” he says. “We Given the speed required, Lowden established a specialized team for the project to encourage a culture of experimentation and “moving fast to learn fast.” “You The first was safety and data privacy testing. The quality of the content is everything.”

Testing 80

Testing Experimentation Data Quality Machine Learning 80

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. With built-in guardrails and automated model documentation for compliance, have the confidence you need to make business decisions quickly.

Data-driven 59

Data-driven Machine Learning Experimentation Data Lake 59

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 Experimentation 98

CIO Business Intelligence

SEPTEMBER 27, 2023

By suggesting a number of use cases, we further encourage experimentation and creative application.” All of this is a byproduct of training the model against implementation guides, knowledge bases, and other internal documentation that is refined against customer questions and responses, Lloyd says.

Strategy 125

Strategy Risk Data-driven Modeling 125