O'Reilly on Data

JULY 28, 2020

Without clarity in metrics, it’s impossible to do meaningful experimentation. The Ethical OS also provides excellent tools for thinking through the impact of technologies. Experimentation should show you how your customers use your site, and whether a recommendation engine would help the business.

Marketing 362

Marketing Experimentation Metrics Testing 362

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.

Experimentation 122

Experimentation Strategy Machine Learning Interactive 122

CIO Business Intelligence

MAY 16, 2024

Announced at its CamundaCon 2024 event in Berlin this week, the company’s pitch for AI is that the technology will hugely simplify the steep learning curve that comes with the setup phase of many business orchestration projects. The new AI features are currently being rolled out experimentally to some customers, Camunda said.

Experimentation 98

Experimentation Machine Learning Technology Modeling 98

O'Reilly on Data

JANUARY 11, 2022

This trend started with the gigantic language model GPT-3. This may encourage the creation of more large-scale models; it might also drive a wedge between academic and industrial researchers. What does “reproducibility” mean if the model is so large that it’s impossible to reproduce experimental results?

Experimentation 297

Experimentation Modeling Strategy Machine Learning 297

DataRobot Blog

MARCH 8, 2023

Leveraging DataRobot’s JDBC connectors, enterprise teams can work together to train ML models on their data residing in SAP HANA Cloud and SAP Data Warehouse Cloud, as well as have an option to enrich it with data from external data sources.

Enterprise 105

Enterprise Experimentation Machine Learning Modeling 105

CIO Business Intelligence

APRIL 25, 2024

And at LinkedIn scale, those matchmaking processes have always relied on technology. During the summer of 2023, at the height of the first wave of interest in generative AI, LinkedIn began to wonder whether matching candidates with employers and making feeds more useful would be better served with the help of large language models (LLMs).

IT 137

IT Experimentation Cost-Benefit Metrics 137

CIO Business Intelligence

APRIL 26, 2023

More than an experimental group, they hold themselves accountable the same way any startup should. Using rapid ideation, agile methodologies, incubation, and validation, the group employs startup thinking with a venture capital (VC) backing model, which brings together committed, diverse teams of experts at the top of their technical fields.

Technology 52

Technology Marketing Experimentation Modeling 52

Decision Management Solutions

DECEMBER 17, 2021

In the recent McKinsey article discussing designing next-generation credit-decisioning models they outlined four best practices for automated credit-decisioning models for banks as they continue their digital transformations. Digital lending based on high-performance credit-decisioning models, says McKinsey, lead to: Increased revenue.

Modeling 52

Modeling Experimentation Visualization Risk 52

CIO Business Intelligence

MAY 23, 2022

Many companies whose AI model training infrastructure is not proximal to their data lake incur steeper costs as the data sets grow larger and AI models become more complex. The cloud is great for experimentation when data sets are smaller and model complexity is light. Potential headaches of DIY on-prem infrastructure.

Experimentation 127

Experimentation Cost-Benefit Data Lake Data Science 127

CIO Business Intelligence

APRIL 29, 2024

The CIO as AI champion and coach The employee concerns voiced in the survey suggest that CIOs need to be advocates for AI within their organizations, says Arun Chandrasekaran, an analyst at Gartner focused on emerging technologies. They need to have a culture of experimentation.”

Experimentation 130

Experimentation Forecasting Risk Consulting 130

CIO Business Intelligence

MARCH 12, 2024

Still, gen AI for software development is in the nascent stages, so technology leaders and software teams can expect to encounter bumps in the road. But early returns indicate the technology can provide benefits for the process of creating and enhancing applications, with caveats.

Software 129

Software Experimentation Testing Cost-Benefit 129

Ontotext

APRIL 3, 2024

Nimit Mehta: I think that 2024 is going to be a buckle-down year, but, at the same time, we’ll see a rapid explosion of experimentation. The traditional technology approach to talking to the world is, “Our features are so cool. How this technology can expand the way we think, so the features become secondary.

Technology 59

Technology Risk Digital Transformation Measurement 59

CIO Business Intelligence

MAY 14, 2024

During the second phase, NLP and ML models created and trained by the King County Department of IT extract the pertinent information from these digitized reports. The ML models include classic ML and deep learning to predict category labels from the narrative text in reports.

Deep Learning 80

Deep Learning Machine Learning Reporting Experimentation 80

O'Reilly on Data

APRIL 4, 2024

The race to the top is no longer driven by who has the best product or the best business model, but by who has the blessing of the venture capitalists with the deepest pockets—a blessing that will allow them to acquire the most customers the most quickly, often by providing services below cost.

Marketing 154

Marketing Modeling Finance Experimentation 154

CIO Business Intelligence

APRIL 25, 2023

Over the last few months, both business and technology worlds alike have been abuzz about ChatGPT, and more than a few leaders are wondering what this AI advancement means for their organizations. A transformer is a type of AI deep learning model that was first introduced by Google in a research paper in 2017.

Experimentation 108

Experimentation Enterprise Deep Learning Modeling 108

CIO Business Intelligence

MAY 10, 2024

To make that possible, JSOC reaches into the company’s cloud infrastructure to access data using a range of technologies, including AWS Gateway, Aurora, OpenShift, Secrets Manager, Athena, and Kafka, to name a few. You can’t just go to an IT organization and ask them to build an AI model for retirement planning.

Machine Learning 112

Machine Learning Experimentation Digital Transformation Modeling 112

CIO Business Intelligence

FEBRUARY 16, 2024

But about 10 years ago when they shifted towards being more of a technology services provider, they became a HCM service provider. ADP’s innovation lab has already developed many machine learning models and predictive analytics that exploit the company’s data cloud. We are so early in the game and doing a lot of experimentation.

Digital Transformation 111

Digital Transformation Experimentation Cost-Benefit Machine Learning 111

CIO Business Intelligence

JANUARY 9, 2024

That quote aptly describes what Dell Technologies and Intel are doing to help our enterprise customers quickly, effectively, and securely deploy generative AI and large language models (LLMs).Many Lesson 1: Don’t start from scratch to train your LLM model Massive amounts of data and computational resources are needed to train an LLM.

Enterprise 109

Enterprise Experimentation Modeling Data-driven 109

Cloudera

JULY 27, 2021

Here in the virtual Fast Forward Lab at Cloudera , we do a lot of experimentation to support our applied machine learning research, and Cloudera Machine Learning product development. We believe the best way to learn what a technology is capable of is to build things with it. The application in our minimal Streamlit on CML starter kit.

Data Science 111

Data Science Enterprise Experimentation Machine Learning 111

CIO Business Intelligence

NOVEMBER 21, 2023

But for a select few, the deeper challenges of departmental technologies being funded, procured, and managed without IT involvement are the missed opportunities to better engage and fulfill departmental technology needs. That’s not to downplay the inherent risks of shadow IT.

IT 132

IT Risk Cost-Benefit Risk Management 132

Domino Data Lab

SEPTEMBER 10, 2020

Building models requires a lot of time and effort. Data scientists can spend weeks just trying to find, capture and transform data into decent features for models, not to mention many cycles of training, tuning, and tweaking models so they’re performant. This means many projects get stuck in endless research and experimentation.

Modeling 101

Modeling IT Data Science Experimentation 101

CIO Business Intelligence

APRIL 12, 2024

With information about products and availability constantly changing, Tractor Supply sees Hey GURA as a “knowledge base and a training platform,” says Rob Mills, chief technology, digital commerce, and strategy officer at Tractor Supply. It’s always been an expensive technology,” she adds. The tech team is extremely agile.”

Experimentation 107

Experimentation Sales Digital Transformation Metrics 107

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.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

CIO Business Intelligence

JUNE 14, 2023

Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications. The online program includes an additional nonrefundable technology fee of US$395 per course.

Big Data 125

Big Data Data Analytics Analytics Predictive Modeling 125

CIO Business Intelligence

DECEMBER 19, 2023

This year’s technology darling and other machine learning investments have already impacted digital transformation strategies in 2023 , and boards will expect CIOs to update their AI transformation strategies frequently. I wrote in Driving Digital , “Digital transformation is not just about technology and its implementation.

Digital Transformation 141

Digital Transformation Unstructured Data Machine Learning Risk Management 141

IBM Big Data Hub

DECEMBER 15, 2023

Open-source artificial intelligence (AI) refers to AI technologies where the source code is freely available for anyone to use, modify and distribute. As a result, these technologies quite often lead to the best tools to handle complex challenges across many enterprise use cases.

Deep Learning 68

Deep Learning Experimentation Machine Learning Risk 68

CIO Business Intelligence

FEBRUARY 22, 2024

With the aim to accelerate innovation and transform its digital infrastructures and services, Ferrovial created its Digital Hub to serve as a meeting point where research and experimentation with digital strategies could, for example, provide new sources of income and improve company operations.

IT 97

IT Digital Transformation IoT Cost-Benefit 97

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. You can then move on to editing very quickly, looking for errors and confabulations.”

Enterprise 113

Enterprise IT Experimentation Unstructured Data 113

CIO Business Intelligence

FEBRUARY 21, 2024

CIOs on university campuses across the country have an obligation, as technology leaders, to provide the tools and expertise that staff, administration, and professors require to help fulfill the potential of students, and the university itself. Corporates are spending big on gen AI at the moment.

Recreation/Entertainment 128

Recreation/Entertainment Experimentation Modeling Data-driven 128

Analytics Vidhya

APRIL 14, 2023

Recently, researchers have shown that OpenAI’s generative AI model, GPT-4, has the capability to do scientific research all on its own! The model can design, […] The post GPT-4 Capable of Doing Autonomous Scientific Research appeared first on Analytics Vidhya.

Finance 300

Finance Modeling Analytics Experimentation 300

IBM Big Data Hub

MAY 25, 2023

The Center of Excellence (CoE) already has more than 1,000 consultants with specialized generative AI expertise that are engaging with a global set of clients to drive productivity in IT operations and core business processes like HR or marketing, elevate their customer experiences and create new business models.

Consulting 104

Consulting Experimentation Machine Learning Modeling 104

IBM Big Data Hub

DECEMBER 4, 2023

These include the automation of creative and content-related tasks, the integration of generative AI into existing technology stacks and the increasing adoption of low-code development platforms. And the abundance of data available for training models has opened up vast possibilities for experimentation and learning.

Experimentation 65

Experimentation Modeling Metrics Machine Learning 65

CIO Business Intelligence

AUGUST 2, 2023

Interestingly, non-IT leaders were more likely to report actively using generative AI (73%) than IT leaders (59%), suggesting there’s plenty of experimentation going on beyond the purview of the IT department. Enterprises with 5,000 or more employees were more likely (69%) to be trying the technology than smaller ones (57%).

Enterprise 93

Enterprise Experimentation Manufacturing Risk 93

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. But after the team spent more time with the technology, they lifted those restrictions.

KPI 91

KPI Measurement Experimentation Finance 91

CIO Business Intelligence

NOVEMBER 7, 2022

A developing playbook of best practices for data science teams covers the development process and technologies for building and testing machine learning models. CIOs and CDOs should lead ModelOps and oversee the lifecycle Leaders can review and address issues if the data science teams struggle to develop models.

Machine Learning 128

Machine Learning Data Science Experimentation IoT 128

DataRobot Blog

NOVEMBER 15, 2022

A packed keynote session showed how repeatable workflows and flexible technology get more models into production. Our in-booth theater attracted a crowd in Singapore with practical workshops, including Using AI & Time Series Models to Improve Demand Forecasting and a technical demonstration of the DataRobot AI Cloud platform.

Big Data 52

Big Data Experimentation Data-driven Machine Learning 52

CIO Business Intelligence

APRIL 2, 2024

Underpinning these initiatives is a slew of technology capabilities and strategies aimed at accelerating delivery cycles, such as establishing product management disciplines, building cloud architectures, developing devops capabilities, and fostering agile cultures. This dip delays when the business can start realizing the value delivered.

Management 121

Management Digital Transformation Testing Experimentation 121