O'Reilly on Data

JANUARY 11, 2022

What does “reproducibility” mean if the model is so large that it’s impossible to reproduce experimental results? We’ll see new tools and platforms for dealing with supply chain and logistics issues, and they’ll likely make use of machine learning. Supply chains and business logistics will remain under stress.

Experimentation 297

Experimentation Modeling Strategy Machine Learning 297

CIO Business Intelligence

JANUARY 25, 2024

Here are three strategies designed to help CIOs and others maximize their return not just on AI, but all essential tech. After a year of frenzied experimentation and investment, executives will have to identify truly valid use cases (and ROI) for AI in 2024.

ROI 105

ROI Experimentation Sales Finance 105

CIO Business Intelligence

NOVEMBER 9, 2023

By Bryan Kirschner, Vice President, Strategy at DataStax Today, we’re all living in a world in which “humans with machines will replace humans without machines”—for the second time. The first time around, smartphone apps became ubiquitous and indispensable machines that just about everyone uses to get things done.

Experimentation 134

Experimentation Uncertainty Strategy Machine Learning 134

CIO Business Intelligence

FEBRUARY 16, 2024

That strategy fully enabled the company’s applications to exploit all the follow-on services developed by Amazon and other cloud providers, and developers in ADP’s innovation labs continue to experiment with cloud-related technologies as they surface today. We are so early in the game and doing a lot of experimentation.

Digital Transformation 115

Digital Transformation Experimentation Cost-Benefit Machine Learning 115

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. Digital Transformation, Generative AI, IT Leadership, IT Strategy, IT Training

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

O'Reilly on Data

JULY 28, 2020

It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. Without clarity in metrics, it’s impossible to do meaningful experimentation. 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

NOVEMBER 7, 2022

CIOs seeking big wins in high business-impacting areas where there’s significant room to improve performance should review their data science, machine learning (ML), and AI projects. Have business leaders defined realistic success criteria and areas of low-risk experimentation? Are data science teams set up for success?

Machine Learning 128

Machine Learning Data Science Experimentation IoT 128

CIO Business Intelligence

DECEMBER 6, 2023

British multinational packaging giant DS Smith has committed itself to ambitious sustainability goals, and its IT strategy to standardize on a single cloud will be a key enabler. The single-cloud platform strategy will include SaaS partners used for automation of more than 40 enterprise applications, Dickson says. As for No.

Manufacturing 91

Manufacturing Data Lake Digital Transformation Machine Learning 91

Cloudera

JANUARY 30, 2019

Data scientists require on-demand access to data, powerful processing infrastructure, and multiple tools and libraries for development and experimentation. To move beyond laptop experimentation to impacting the business, data teams also need seamless sharing and native integration with the production data platform. Sound familiar?

Data Science 71

Data Science Machine Learning Experimentation Cost-Benefit 71

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. Customers may have questions about plants to grow in a certain climate zone, for example.

Experimentation 115

Experimentation Sales Digital Transformation Metrics 115

Smart Data Collective

OCTOBER 13, 2021

AI technology moves innovation forward by boosting tinkering and experimentation, accelerating the innovation process. Automating processes can be costly, but it’s a worthy long-term investment that helps businesses align their strategies for streamlined operations. Use machine learning. Leverage innovation.

Technology 121

Technology Cost-Benefit Experimentation Machine Learning 121

IBM Big Data Hub

DECEMBER 5, 2023

Retailers recognize the need to build their strategies around AI, integrating it into many aspects of their operations. This data tracks closely with a recent IDC Europe study that found 40% of worldwide retailers and brands are in the experimentation phase of generative AI, while 21% are already investing in generative AI implementations.

Unstructured Data 92

Unstructured Data Cost-Benefit Experimentation Machine Learning 92

CIO Business Intelligence

MAY 12, 2022

The tools include sophisticated pipelines for gathering data from across the enterprise, add layers of statistical analysis and machine learning to make projections about the future, and distill these insights into useful summaries so that business users can act on them. On premises or in SAP cloud. Per user, per month. Free tier.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

CIO Business Intelligence

APRIL 25, 2023

It’s hard to achieve a deep, experiential understanding of new technology without experimentation. Leaders should define a process for evaluating these AI technology developments early, as well as an infrastructure and environment to support experimentation. Learn more about Protiviti’s Artificial Intelligence Services.

Experimentation 115

Experimentation Enterprise Deep Learning Modeling 115

CIO Business Intelligence

JUNE 16, 2022

Any enterprise data management strategy has to begin with addressing the 800-pound gorilla in the corner: the “innovation gap” that exists between IT and business teams. Most organizations (81%) don’t have an enterprise data strategy that enables them to fully capitalize on their data assets, according to Accenture.

IT 133

IT Experimentation IoT Data-driven 133

Smart Data Collective

JULY 9, 2023

This article is going to provide some great insights on developing strategies for unlocking additional value from an online business, which can do a lot to boost revenue and catapult the enterprise to new heights. Experimentation is the key to finding the highest-yielding version of your website elements.

Optimization 74

Optimization Data Analytics Analytics Data-driven 74

CIO Business Intelligence

NOVEMBER 15, 2022

Experiment with the “highly visible and highly hyped”: Gartner repeatedly pointed out that organisations that innovate during tough economic times “stay ahead of the pack”, with Mesaglio in particular calling for such experimentation to be public and visible. Artificial Intelligence, Digital Transformation, Innovation, Machine Learning

Digital Transformation 143

Digital Transformation Experimentation Risk Metrics 143

O'Reilly on Data

MARCH 19, 2020

We use it as a data source for our annual platform analysis , and we’re using it as the basis for this report, where we take a close look at the most-used and most-searched topics in machine learning (ML) and artificial intelligence (AI) on O’Reilly [1]. What’s driving this growth? disproportionately involve Python.

Deep Learning 276

Deep Learning Machine Learning Data-driven Modeling 276

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. The panel discussion focused on Boyd’s Law of Iteration—a theory from dogfighting (military aviation strategy) which believes that the speed of iteration beats the quality of iteration.

Big Data 52

Big Data Experimentation Data-driven Machine Learning 52

IBM Big Data Hub

MAY 25, 2023

In 2023 alone, IBM Consulting has interacted with more than 100 clients and completed dozens of engagements infusing generative AI alongside classical machine learning AI strategies. The CoE is off to a fast start.

Consulting 103

Consulting Experimentation Machine Learning Modeling 103

Cloudera

OCTOBER 18, 2023

Historically, firms have relied on high-cost, third-party solutions to help identify savings opportunities, however, the landscape is rapidly changing, and the emergence of AI and machine learning (ML) has ushered in a new era of possibilities. We’re here to help you execute on your cost-reduction strategies.

Cost-Benefit 76

Cost-Benefit Testing Machine Learning Optimization 76

DataRobot Blog

FEBRUARY 28, 2023

While this can be an excellent strategy for a future-oriented company, it can prove futile if you don’t maximize the value of your investment. According to Flexera 1 , 92% of enterprises have a multi-cloud strategy, while 80% have a hybrid cloud strategy. Learn more about DataRobot hosted notebooks.

Data Processing 72

Data Processing Experimentation Machine Learning Modeling 72

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 104

IT Digital Transformation IoT Cost-Benefit 104

Corinium

JUNE 6, 2019

Beyond that, we recommend setting up the appropriate data management and engineering framework including infrastructure, harmonization, governance, toolset strategy, automation, and operating model. It is also important to have a strong test and learn culture to encourage rapid experimentation.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

CIO Business Intelligence

FEBRUARY 21, 2024

One is knowledge of the emerging mega trends in technology — data, AI, and machine learning — and the other is understanding organizational culture needed to advance the technology goals and to inspire contributors,” he says. We’ve done a lot of experimentation on these adaptive tools that use AI,” says Ventimiglia.

Recreation/Entertainment 134

Recreation/Entertainment Experimentation Modeling Data-driven 134

CIO Business Intelligence

OCTOBER 9, 2023

Tech leaders must focus on a business-aligned tech strategy to deliver on the competing mandates, Guarini says. “A A business-aligned technology strategy is built on architecture and agility, the ‘what’ and the ‘how’ of better alignment,’’ he explains. Performance improves when the culture of collaboration is strong.”

Strategy 137

Strategy Technology Experimentation Testing 137

CIO Business Intelligence

SEPTEMBER 12, 2022

Prioritize time for experimentation. A sure-fire formula for driving innovative growth is to “try something new, learn fast, pivot as needed, and scale success,’’ says Mike Crowe, CIO of Colgate-Palmolive. The team was given time to gather and clean data and experiment with machine learning models,’’ Crowe says.

Experimentation 133

Experimentation Consulting Technology Machine Learning 133

DataRobot

JULY 27, 2021

Last fall, I penned a blog post around our Series F funding, focused on the fact that the era of experimental AI is over. AI needs to be a core part of every company’s strategy and culture, as well as a top company initiative with a focus on measurable results tied to value. . I stand by that notion wholeheartedly.

Machine Learning 98

Machine Learning Experimentation Modeling Forecasting 98

The Unofficial Google Data Science Blog

APRIL 23, 2024

It is also a sound strategy when experimenting with several parameters at the same time. To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages. (And sometimes even if it is not[1].)

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Occam's Razor

MARCH 23, 2021

A key part of how this manifested in our work was doing truly super-advanced machine-learning powered analysis to answer hard questions that few can successfully. I lovingly call our strategy analytics on the bleeding edge. upgrades to processes to create deeper integration with Finance & Strategy teams.

Analytics 131

Analytics Scorecard Strategy Testing 131

CIO Business Intelligence

MARCH 21, 2022

Data scientists are becoming increasingly important in business, as organizations rely more heavily on data analytics to drive decision-making and lean on automation and machine learning as core components of their IT strategies. Data scientist job description.

Unstructured Data 136

Unstructured Data Data Analytics Analytics Structured Data 136

AWS Big Data

AUGUST 21, 2023

In semantic search , the search engine uses a machine learning (ML) model to encode text from the source documents as a dense vector in a high-dimensional vector space; this is also called embedding the text into the vector space. Only items that have all or most of the words the user typed match the query.

Data Processing 93

Data Processing Experimentation Visualization Metrics 93

bridgei2i

DECEMBER 4, 2019

With increasing mainstream acceptance and adoption of AI-led technologies, C-suite executives today have gone beyond committing ‘digital experimentation’ to large scale Digital Transformation, be it pan-enterprise or functional. Jim has interesting peek into the CEO’s life, about what keeps them awake at night.

Enterprise 64

Enterprise Digital Transformation Consulting Experimentation 64

CIO Business Intelligence

OCTOBER 1, 2022

P&G is also piloting the use of IIoT, advanced algorithms, machine learning (ML), and predictive analytics to improve manufacturing efficiencies in the production of paper towels. It has moved past what Cretella calls the “experimentation phase” with scaled solutions and increasingly sophisticated AI applications.

Manufacturing 145

Manufacturing Digital Transformation IoT Internet of Things 145

Hurwitz & Associates

JULY 19, 2018

This central strategy, an evolution of the company’s plan for the Intelligent Edge and edge gateway systems, expands on the company’s broad portfolio of software, services, systems, storage and networking products. New products for its edge-to-cloud strategy and solutions. HPE Launches Products for Edge-to-Cloud Solutions.

Strategy 40

Strategy Data-driven Experimentation Software 40

CIO Business Intelligence

APRIL 26, 2023

“This creates a culture of ‘ladder-climbing’ rather than a focus on continuous training, learning, and improvement,” says Nicolás Ávila, CTO for North America at software development firm Globant. Don’t let urgent things cloud your long-term strategy.” By focusing on creating well-rounded teams, you’re thinking long term,” she says.

IT 105

IT Experimentation Forecasting Technology 105

AWS Big Data

JANUARY 9, 2024

2023 was a year of rapid innovation within the artificial intelligence (AI) and machine learning (ML) space, and search has been a significant beneficiary of that progress. This functionality was initially released as experimental in OpenSearch Service version 2.4, and is now generally available with version 2.9.

Cost-Benefit 96

Cost-Benefit Visualization Modeling Machine Learning 96