CIO Business Intelligence

OCTOBER 5, 2023

Sandeep Davé knows the value of experimentation as well as anyone. Davé and his team’s achievements in AI are due in large part to creating opportunities for experimentation — and ensuring those experiments align with CBRE’s business strategy. And those experiments have paid off.

Experimentation 126

Experimentation Strategy Machine Learning Interactive 126

CIO Business Intelligence

DECEMBER 19, 2023

Create these six generative AI workstreams CIOs should document their AI strategy for delivering short-term productivity improvements while planning visionary impacts. 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 142

Digital Transformation Unstructured Data Machine Learning Risk Management 142

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 67

Insurance Experimentation Finance Data Governance 67

Cloudera

OCTOBER 18, 2023

In the ever-evolving landscape of the financial services Industry, change is a constant and transformation is a requirement — to stay at pace with new regulations, risk mitigation, and the technological developments that support transformation. Automated documentation generation: Generating documentation is time consuming and tedious.

Cost-Benefit 77

Cost-Benefit Testing Machine Learning Optimization 77

DataRobot Blog

NOVEMBER 15, 2022

At the event, a financial services panel discussion shared why iteration and experimentation are critical in an AI-driven data science environment. With DataRobot , Sara has the ability to explain the models that her Data Science team is creating and can automatically generate the required compliance documentation.

Big Data 52

Big Data Experimentation Data-driven Machine Learning 52

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

IBM Big Data Hub

OCTOBER 4, 2022

It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation. Today, AI presents an enormous opportunity to turn data into insights and actions, to amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. Challenges around managing risk.

Metadata 103

Metadata Risk Risk Management Experimentation 103

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

JULY 3, 2023

Rather than relying on APIs provided by firms such as OpenAI and the risks of uploading potentially sensitive data to third-party servers, new approaches are allowing firms to bring smaller LLMs inhouse. Previously, employees could only search these files via a keyword search and then read through each document to check its relevance.

Management 105

Management Experimentation Modeling Enterprise 105

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 96

Risk Cost-Benefit Strategy Experimentation 96

CIO Business Intelligence

JUNE 28, 2023

For all of generative AI’s allure, large enterprises are taking their time, many outright banning tools like ChatGPT over concerns of accuracy, data protection, and the risk of regulatory backlash. Experimentation with a use case driven approach. Caution is king. Looking forward.

Enterprise 52

Enterprise Experimentation Risk Data-driven 52

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. Now, there is a data risk here.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

CIO Business Intelligence

JULY 31, 2023

1 question now is to allow or not allow,” says Mir Kashifuddin, data risk and privacy leader with the professional services firm PwC US. Rapidly evolving risks Companies that have blocked the use of gen AI are finding that some workers are still testing it out. The CIO’s job is to ask questions about potential scenarios.

Strategy 98

Strategy Risk Enterprise Risk Management 98

Cloudera

MAY 31, 2023

For all the good that generative AI services can bring to your company, they don’t do so without their own set of risks and downsides. Generative AI SaaS applications like ChatGPT are a perfect example of the types of technological advances that expose individuals and organizations to privacy risks and keep infosec teams up at night.

Enterprise 73

Enterprise Data Processing Experimentation Modeling 73

AWS Big Data

MAY 2, 2023

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. Apache Airflow v2.4.3 Airflow v2.4.0 Smart Sensors were added in v2.0 Release Notes.

Testing 100

Testing Experimentation Management Metadata 100

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 ). We assume that you need to build production-grade software.

Deep Learning 110

Deep Learning Machine Learning Experimentation Modeling 110

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 97

Cost-Benefit Modeling Manufacturing Interactive 97

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.

Cost-Benefit 142

Cost-Benefit Metrics Insurance Measurement 142

O'Reilly on Data

MAY 11, 2020

Television only lacked the immediate feedback that comes with clicks, tracking cookies, tracking pixels, online experimentation, machine learning, and “agile” product cycles. That loop isn’t new, of course; it was well-known to TV network executives. Does “The Entertainment” show people what they want to see?

Modeling 190

Modeling Advertising Recreation/Entertainment Metrics 190

Ontotext

NOVEMBER 2, 2023

This shift from relational to graph approach has been well-documented by Gartner who advise that “using graph techniques at scale will form the foundation of modern data and analytics” and “graph technologies will be used in 80% of data and analytics innovations by 2025.”

IT 69

IT Cost-Benefit Data-driven Technology 69

Cloudera

NOVEMBER 25, 2020

For example, it includes patient samples (blood, blood pressure, temperature, and more), patient information (age, gender, where they have lived, family situation, and other details), and treatment history, most of which is currently found only in paper documents.

Data Warehouse 58

Data Warehouse Unstructured Data Analytics Visualization 58

CIO Business Intelligence

APRIL 24, 2024

This brings in intelligence from all the data, and from unstructured documents, so for an individual, we can answer the questions they need answered.” CFOs are traditionally risk averse and expect certainty and accuracy from their technology. A CFO would just say to wait and see what the risks are,” he says.

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 120

Cost-Benefit Advertising Experimentation Software 120

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 103

Modeling Testing Cost-Benefit Experimentation 103

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

CIO Business Intelligence

OCTOBER 4, 2023

With a little experimentation, it’s cheap and easy to find applications that can provide business benefits, creating a false perception of value. Then it’s time to assemble the final document. Ballooning costs The most popular gen AI chatbots are free to the public. Often, generative AI will not be a good fit. Is it accessible?

Cost-Benefit 140

Cost-Benefit Manufacturing Machine Learning Experimentation 140

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

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? Be very careful about documents that require any sort of precision. Still, I would want a human lawyer to review anything it produced; legal documents require precision. What Are the Risks?

IT 262

IT Modeling Testing Risk 262

IBM Big Data Hub

OCTOBER 20, 2023

Automated development: With AutoAI , beginners can quickly get started and more advanced data scientists can accelerate experimentation in AI development. Data extraction: Platform capabilities help sort through complex details and quickly pull the necessary information from large documents.

Machine Learning 80

Machine Learning Manufacturing Cost-Benefit Deep Learning 80

Domino Data Lab

AUGUST 26, 2019

To support the iterative and experimental nature of industry work, Domino reached out to Addison-Wesley Professional (AWP) for appropriate permissions to excerpt the “Tuning Hyperparameters and Pipelines” from the book, Machine Learning with Python for Everyone by Mark E. Why do we care? We could try lots of different values.

Testing 79

Testing Modeling Machine Learning Metrics 79

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. This fact is well documented by Kang & Schafer (2007). In observational studies treatment is assigned by nature, therefore its mechanism is unknown and needs to be estimated.

Statistics 44

Statistics Optimization Modeling Experimentation 44

DataRobot Blog

SEPTEMBER 30, 2022

Adoption of AI/ML is maturing from experimentation to deployment. When this type of drift occurs, your model is at risk of degradation, meaning you cannot trust the predictions anymore. Learn more about DataRobot MLOps and access public documentation to get more technical details about recently released features. Request a demo.

Slice and Dice 52

Slice and Dice Modeling Metrics Experimentation 52

O'Reilly on Data

SEPTEMBER 11, 2019

So, we used a form of the Term Frequency-Inverse Document Frequency (TF/IDF) technique to identify and rank the top terms in this year’s Strata NY proposal topics—as well as those for 2018, 2017, and 2016. In an era of graph databases, NoSQL and document databases, text/semantic databases, time series databases, etc.,

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

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