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

CIO Business Intelligence

MARCH 12, 2024

Early use cases include code generation and documentation, test case generation and test automation, as well as code optimization and refactoring, among others. Junior developers are reporting the biggest productivity boosts, but this remains an area of active research and experimentation,” Tandon says.

Software 131

Software Experimentation Testing Cost-Benefit 131

AWS Big Data

DECEMBER 12, 2024

Amazon Redshift , optimized for complex queries, provides high-performance columnar storage and massively parallel processing (MPP) architecture, supporting large-scale data processing and advanced SQL capabilities. For detailed steps on creating and configuring Lambda Layers , see the AWS Lambda Layers documentation.

Snapshot 78

Snapshot Recreation/Entertainment Experimentation Data Lake 78

CIO Business Intelligence

OCTOBER 5, 2023

Sandeep Davé knows the value of experimentation as well as anyone. CBRE has also used AI to optimize portfolios for several clients, and recently launched a self-service generative AI product that enables employees to interact with CBRE and external data in a conversational manner. And those experiments have paid off.

Experimentation 130

Experimentation Strategy Machine Learning Interactive 130

Rocket-Powered Data Science

OCTOBER 16, 2020

Images, text, documents, audio, video and all the apps on your phone, all the things you search for on the internet? Specifically, is it a detection problem (fraud or emergent behavior), a discovery problem (new customers or new opportunities), a prediction problem (what will happen) or an optimization problem (how to improve outcomes)? (3)

Digital Transformation 142

Digital Transformation Experimentation Data Science Data Strategy 142

CIO Business Intelligence

AUGUST 14, 2024

Organizations typically start with the most capable model for their workload, then optimize for speed and cost. 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.

Enterprise 136

Enterprise Cost-Benefit Experimentation Modeling 136

CIO Business Intelligence

AUGUST 20, 2024

They must define target outcomes, experiment with many solutions, capture feedback, and seek optimal paths to delivering multiple objectives while minimizing risks. This shift in focus requires teams to understand business strategy, market trends, customer needs, and value propositions.

IT 141

IT Digital Transformation Experimentation Risk 141

AWS Big Data

SEPTEMBER 5, 2024

A more advanced method is to combine traditional inverted-index(BM25) based retrieval, but this approach requires spending a considerable amount of time customizing lexicons, synonym dictionaries, and stop-word dictionaries for optimization. It comes in two modes: document-only and bi-encoder.

Metrics 105

Metrics Testing Experimentation Modeling 105

CIO Business Intelligence

JANUARY 24, 2025

Engagement with leadership and upskilling for personnel help develop the conditions for AI innovation and experimentation to take place, she says. Like many companies, bp is also using genAI to extract information from documents, summarize meetings, and so on, freeing up office workers time for more strategic activities.

Digital Transformation 59

Digital Transformation B2B Testing Experimentation 59

DataRobot Blog

JANUARY 10, 2023

Data science teams of all sizes need a productive, collaborative method for rapid AI experimentation. By predicting which patients are at risk of readmission before they are discharged, doctors can follow appropriate medical procedures to prevent readmission, optimize costs, and enhance the quality of treatment. 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 143

Cost-Benefit Metrics Insurance Measurement 143

Sisense

SEPTEMBER 30, 2020

When creating a resource and community to help developers get the most out of your product, it’s important to empower them to contribute to developer documentation and not just have all your content coming from product or tech writers. Remember, the people who are writing documentation are not necessarily experts at visual design.)

Data Processing 52

Data Processing Experimentation Cost-Benefit Marketing 52

O'Reilly on Data

MARCH 23, 2023

Many of these go slightly (but not very far) beyond your initial expectations: you can ask it to generate a list of terms for search engine optimization, you can ask it to generate a reading list on topics that you’re interested in. It was not optimized to provide correct responses. It has helped to write a book.

IT 346

IT Modeling Testing Risk 346

CIO Business Intelligence

APRIL 24, 2024

That includes many technologies based on machine learning, such as sales forecasting, lead scoring and qualification, pricing optimization, and customer sentiment analysis. We’re mostly still optimizing our sales and marketing processes with CRM tools,” he says.

Sales 128

Sales Finance Experimentation Cost-Benefit 128

CIO Business Intelligence

FEBRUARY 7, 2024

Stephen Franchetti, CIO of Samsara, a fleet management SaaS provider that went public in 2021, believes the only way to optimize your AI strategy (or any emerging technology strategy, in fact) is with a bottoms-up approach. We’ve seen an ongoing iteration of experimentation with a number of promising pilots in production,” he says.

KPI 105

KPI Measurement Experimentation Finance 105

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

AUGUST 21, 2024

Then there’s the risk of malicious code injections, where the code is hidden inside documents read by an AI agent, and the AI then executes the code. These projects include those that simplify customer service and optimize employee workflows. But multiagent AI systems are still in the experimental stages, or used in very limited ways.

Risk 136

Risk Insurance Cost-Benefit Software 136

Occam's Razor

APRIL 8, 2013

Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. You're choosing only one metric because you want to optimize it. If you have access to existing data, take some time to document what the current performance looks like. But it is not routine.

Metrics 157

Metrics KPI Analytics Key Performance Indicator 157

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

According to a recently leaked Google memo, “The barrier to entry for training and experimentation has dropped from the total output of a major research organization to one person, an evening, and a beefy laptop.” Now the system provides usable answers to questions. The knowledge management dream is becoming a reality.

Management 106

Management Experimentation Modeling Enterprise 106

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 125

Advertising Cost-Benefit Experimentation Reporting 125

Cloudera

OCTOBER 18, 2023

Portfolio Optimization Analyze a portfolio of investments and identify opportunities to optimize returns while managing risk. Document translation: When collaborating with multinational groups, generative AI can translate contracts, agreements, policies, and other legal/ business documents ensuring accurate written communication.

Cost-Benefit 79

Cost-Benefit Testing Machine Learning Optimization 79

CIO Business Intelligence

OCTOBER 18, 2023

We’re seeing lots and lots of pilots,” says Gartner AI analyst Arun Chandrasekaran, who notes content creation, document summarization, sentiment analysis, and enterprise search chief among the initial use cases. in concert with Microsoft’s AI-optimized Azure platform. John Spottiswood, COO of Jerry, a Palo Alto, Calif.-based

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

IBM Big Data Hub

OCTOBER 4, 2022

It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation. Platforms and practices not optimized for AI. This includes capturing of the metadata, tracking provenance and documenting the model lifecycle. This is due to: An inability to access the right data.

Metadata 97

Metadata Risk Management Risk Experimentation 97

Domino Data Lab

FEBRUARY 12, 2020

for model serving (experimental), are implemented with Ray internally for its scalable, distributed computing and state management benefits, while providing a domain-specific API for the purposes they serve. Ray recently introduced experimental implementations of these APIs that allow your applications to scale to a cluster.

Experimentation 137

Experimentation Modeling Data Science Machine Learning 137

CIO Business Intelligence

DECEMBER 10, 2024

For example, our employees can use this platform to: Chat with AI models Generate texts Create images Train their own AI agents with specific skills To fully exploit the potential of AI, InnoGames also relies on an open and experimental approach. QueryMind opens up new possibilities at this point. The KAWAII frontend.

Data-driven 98

Data-driven Metadata Interactive KPI 98

Cloudera

OCTOBER 8, 2024

This service supports a range of optimized AI models, enabling seamless and scalable AI inference. By 2023, the focus shifted towards experimentation. Hardware and software optimizations enable up to 36 times faster inference with NVIDIA accelerated computing and nearly four times the throughput on CPUs, accelerating decision-making.

Optimization 75

Optimization Experimentation Metrics Enterprise 75

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 120

Cost-Benefit Sales Modeling Experimentation 120

CIO Business Intelligence

AUGUST 1, 2023

Clean and prep your data for private LLMs Generative AI capabilities will increase the importance and value of an enterprise’s unstructured data, including documents, videos, and content stored in learning management systems. Improving customer support is a quick win for delivering short-term ROI from LLMs and AI search capabilities.

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Data Science 98

Domino Data Lab

JULY 2, 2019

SQL optimization provides helpful analogies, given how SQL queries get translated into query graphs internally , then the real smarts of a SQL engine work over that graph. 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. SQL and Spark.

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

IBM Big Data Hub

OCTOBER 20, 2023

This unified experience optimizes the process of developing and deploying ML models by streamlining workflows for increased efficiency. Decision optimization: Streamline the selection and deployment of optimization models and enable the creation of dashboards to share results, enhance collaboration and recommend optimal action plans.

Machine Learning 71

Machine Learning Manufacturing Deep Learning Cost-Benefit 71

AWS Big Data

SEPTEMBER 13, 2024

Publicly documented examples include the usage of satellite imagery of mall parking lots to estimate trends in consumer behavior and its impact on stock prices. Jupyter notebooks are interactive computing environments that allow users to create and share documents containing live code, equations, visualizations, and narrative text.

Interactive 86

Interactive Strategy Cost-Benefit Data Governance 86

Occam's Razor

DECEMBER 9, 2009

some reports going out on schedule (even if data pukes) then an optimal path might be to centralize some where (see item #2 below). [B] After a lot of experimentation and failures I have come to realize that often (if above conditions are met) Marketing is the best organization for Web Analytics to be in. Who Owns Web Analytics?

Analytics 95

Analytics Data-driven Marketing Sales 95

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 89

Cost-Benefit Manufacturing Modeling Interactive 89

CIO Business Intelligence

JUNE 28, 2023

Experimentation with a use case driven approach. For those companies that have chosen to experiment, they’re doing so largely in a controlled sandbox environment, with an emphasis on learning and understanding how to pair the technology with human capabilities to optimize for value and risk. Looking forward.

Enterprise 52

Enterprise Experimentation Risk Data-driven 52

Occam's Razor

JUNE 6, 2007

Bonus: Interactive CD: Contains six podcasts, one video, two web analytics metrics definitions documents and five insightful powerpoint presentations. Experimentation & Testing (A/B, Multivariate, you name it). What's the optimal organization structure (and who should own web analytics!)? Qualitative and quantitative.

Analytics 60

Analytics Metrics Marketing Dashboards 60