CIO Business Intelligence

JULY 1, 2024

By documenting cases where automated systems misbehave, glitch or jeopardize users, we can better discern problematic patterns and mitigate risks. Real-time monitoring tools are essential, according to Luke Dash, CEO of risk management platform ISMS.online.

Reporting 129

Reporting Risk Management Experimentation Risk 129

CIO Business Intelligence

AUGUST 5, 2024

Data Security, Privacy, and Accuracy: One of the major hurdles to implementing AI in healthcare is the risk of accidental exposure to private health information. Observability and explainability are critical to understanding AI behavior, identifying errors, and ensuring compliance with regulatory standards. To learn more, visit us here.

Experimentation 124

Experimentation Risk Metadata Data-driven 124

Domino Data Lab

AUGUST 6, 2021

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management. What Is Model Risk?

Risk Management 64

Risk Management Risk Modeling Enterprise 64

Rocket-Powered Data Science

FEBRUARY 15, 2023

3) How do we get started, when, who will be involved, and what are the targeted benefits, results, outcomes, and consequences (including risks)? encouraging and rewarding) a culture of experimentation across the organization. Encourage and reward a Culture of Experimentation that learns from failure, “ Test, or get fired!

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

CIO Business Intelligence

APRIL 12, 2024

Right now most organizations tend to be in the experimental phases of using the technology to supplement employee tasks, but that is likely to change, and quickly, experts say. But that’s just the tip of the iceberg for a future of AI organizational disruptions that remain to be seen, according to the firm.

Experimentation 143

Experimentation Reporting Testing Statistics 143

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 363

Marketing Experimentation Metrics Testing 363

CIO Business Intelligence

AUGUST 23, 2024

Like most enterprises, Bayer’s agricultural division will initially use AWS-based generative AI tools out-of-the-box to automate basic business processes, such as the production of internal technical documentation, McQueen says. Making that available across the division will spur more robust experimentation and innovation, he notes.

Data Science 101

Data Science Experimentation Testing Modeling 101

CIO Business Intelligence

APRIL 14, 2023

But just like other emerging technologies, it doesn’t come without significant risks and challenges. According to a recent Salesforce survey of senior IT leaders , 79% of respondents believe the technology has the potential to be a security risk, 73% are concerned it could be biased, and 59% believe its outputs are inaccurate.

Risk 122

Risk Experimentation Marketing Risk Management 122

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 Risk Management 137

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

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 130

Experimentation Strategy Machine Learning Interactive 130

CIO Business Intelligence

MAY 14, 2024

Like many public health agencies across the US, the King County Medical Examiner’s Office tracks drug overdose deaths to target interventions for populations at risk and save lives. In many cases, additional documents are involved in the process, such as toxicology reports.

Deep Learning 97

Deep Learning Machine Learning Reporting Experimentation 97

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

AUGUST 14, 2024

For many enterprises, Microsoft provides not just document and email storage, but also the root of enterprise identity for those data sources, as Vadim Vladimirskiy, CEO of software developer Nerdio, points out. If you pull your data from a document with no permission set on it, then there’s no information to be had,” he adds.

Enterprise 136

Enterprise Cost-Benefit Experimentation Modeling 136

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 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

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 143

Cost-Benefit Metrics Insurance Measurement 143

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 78

Cost-Benefit Testing Machine Learning Optimization 78

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 Machine Learning Data-driven 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

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

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 74

Optimization Experimentation Metrics Modeling 74

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.

Advertising 124

Advertising Cost-Benefit Experimentation Software 124

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 97

Metadata Risk Management Risk Experimentation 97

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 116

Enterprise IT Unstructured Data Experimentation 116

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

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

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 141

Risk Manufacturing Enterprise Technology 141

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 111

Modeling Testing Cost-Benefit Experimentation 111

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 128

Sales Finance Experimentation Cost-Benefit 128

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. or later.

Interactive 82

Interactive Strategy Cost-Benefit Data Governance 82

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 98

Risk Cost-Benefit Strategy Unstructured Data 98

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

MAY 30, 2024

After this project, we’ll constantly introduce AI on other sectors and services like control of travel documentation.” I’ve given colleagues the freedom to do research and experimentation together with our automation partner Mauden,” says Ciuccarelli. “We AI is the future for us,” says Maffei.

Cost-Benefit 119

Cost-Benefit Sales Modeling Experimentation 119

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 141

Cost-Benefit Manufacturing Machine Learning Experimentation 141

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

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