O'Reilly on Data

APRIL 19, 2021

During the first weeks of February, we asked recipients of our Data & AI Newsletter to participate in a survey on AI adoption in the enterprise. The second-most significant barrier was the availability of quality data. Relatively few respondents are using version control for data and models. Respondents.

Enterprise 358

Enterprise Risk Modeling Manufacturing 358

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. Fair warning: if the business lacks metrics, it probably also lacks discipline about data infrastructure, collection, governance, and much more.) Agreeing on metrics. Fault Tolerant Versus Fault Intolerant AI Problems.

Marketing 363

Marketing Experimentation Metrics Testing 363

O'Reilly on Data

OCTOBER 22, 2020

Taking the time to work this out is like building a mathematical model: if you understand what a company truly does, you don’t just get a better understanding of the present, but you can also predict the future. Since I work in the AI space, people sometimes have a preconceived notion that I’ll only talk about data and models.

Consulting 301

Consulting Risk Cost-Benefit Modeling 301

CIO Business Intelligence

MAY 17, 2023

The big picture : In the midst of a rush to technology modernization, it’s critical to ensure the organization’s data assets are not overlooked. Why it matters:  Data-driven business decisions must factor prominently in modernization efforts. The bottom line:  Don’t leave data behind.

Data-driven 110

Data-driven Strategy IT Insurance 110

Smart Data Collective

JULY 20, 2022

Data-driven decision-making has become a major element of modern business. A growing number of businesses use big data technology to optimize efficiency. However, companies that have a formal data strategy are still in the minority. Furthermore, only 13% of companies are actually delivering on their data strategy.

Data-driven 132

Data-driven Optimization Big Data Data Strategy 132

CIO Business Intelligence

NOVEMBER 18, 2024

In the quest to reach the full potential of artificial intelligence (AI) and machine learning (ML), there’s no substitute for readily accessible, high-quality data. If the data volume is insufficient, it’s impossible to build robust ML algorithms. If the data quality is poor, the generated outcomes will be useless.

Data-driven 111

Data-driven Machine Learning ROI Uncertainty 111

O'Reilly on Data

MAY 27, 2020

Whether driven by my score, or by their own firsthand experience, the doctors sent me straight to the neonatal intensive care ward, where I spent my first few days. And yet a number or category label that describes a human life is not only machine-readable data. Numbers like that typically mean a baby needs help.

Risk 355

Risk Testing Reporting Measurement 355

CIO Business Intelligence

DECEMBER 14, 2023

As CIOs seek to achieve economies of scale in the cloud, a risk inherent in many of their strategies is taking on greater importance of late: consolidating on too few if not just a single major cloud vendor. This is the kind of risk that may increasingly keep CIOs up at night in the year ahead.

Risk 131

Risk Cost-Benefit Strategy Risk Management 131

Rocket-Powered Data Science

FEBRUARY 15, 2023

While generative AI has been around for several years , the arrival of ChatGPT (a conversational AI tool for all business occasions, built and trained from large language models) has been like a brilliant torch brought into a dark room, illuminating many previously unseen opportunities. So what? (2)

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

O'Reilly on Data

MAY 14, 2020

Feature Development and Data Management: This phase focuses on the inputs to a machine learning product; defining the features in the data that are relevant, and building the data pipelines that fuel the machine learning engine powering the product.

Management 363

Management Experimentation B2B Machine Learning 363

O'Reilly on Data

MARCH 31, 2020

AI products are automated systems that collect and learn from data to make user-facing decisions. All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. Why AI software development is different.

Management 338

Management Machine Learning Experimentation Metrics 338

CIO Business Intelligence

AUGUST 20, 2024

million to fine-tune gen AI models, and $20 million to build custom models from scratch, according to recent estimates from Gartner. Most SMBs don’t have the resources to create and maintain their own AI models, and they will need to work with partners to run AI models, he adds.

Risk 131

Risk Cost-Benefit Insurance ROI 131

O'Reilly on Data

NOVEMBER 28, 2023

And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Many AI adopters are still in the early stages.

Enterprise 277

Enterprise Modeling Testing Reporting 277

O'Reilly on Data

JUNE 7, 2022

DeepMind’s new model, Gato, has sparked a debate on whether artificial general intelligence (AGI) is nearer–almost at hand–just a matter of scale. Gato is a model that can solve multiple unrelated problems: it can play a large number of different games, label images, chat, operate a robot, and more.

Modeling 363

Modeling Interactive Optimization Deep Learning 363

DataKitchen

NOVEMBER 27, 2024

A Guide to the Six Types of Data Quality Dashboards Poor-quality data can derail operations, misguide strategies, and erode the trust of both customers and stakeholders. Data quality dashboards have emerged as indispensable tools, offering a clear window into the health of their data and enabling targeted actionable improvements.

Data Quality 219

Data Quality Dashboards Metrics Cost-Benefit 219

DataKitchen

FEBRUARY 21, 2023

On 24 January 2023, Gartner released the article “ 5 Ways to Enhance Your Data Engineering Practices.” Data team morale is consistent with DataKitchen’s own research. We surveyed 600 data engineers , including 100 managers, to understand how they are faring and feeling about the work that they are doing.

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

O'Reilly on Data

JUNE 18, 2024

Last month, TheNew York Times claimed that tech giants OpenAI and Google have waded into a copyright gray area by transcribing the vast volume of YouTube videos and using that text as additional training data for their AI models despite terms of service that prohibit such efforts and copyright law that the Times argues places them in dispute.

Advertising 353

Advertising Modeling Publishing Data Processing 353

O'Reilly on Data

FEBRUARY 18, 2020

It’s also the data source for our annual usage study, which examines the most-used topics and the top search terms. [1]. This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. A drill-down into data, AI, and ML topics.

Data-driven 340

Data-driven Software Statistics Marketing 340

CIO Business Intelligence

OCTOBER 29, 2024

In 2018, I wrote an article asking, “Will your company be valued by its price-to-data ratio?” The premise was that enterprises needed to secure their critical data more stringently in the wake of data hacks and emerging AI processes. Data theft leads to financial losses, reputational damage, and more.

Enterprise 134

Enterprise Broadcasting Risk Sales 134

DataRobot Blog

DECEMBER 6, 2022

Savvy data scientists are already applying artificial intelligence and machine learning to accelerate the scope and scale of data-driven decisions in strategic organizations. Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

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? It’s important to understand that ChatGPT is not actually a language model. It’s a convenient user interface built around one specific language model, GPT-3.5, The GPT-series LLMs are also called “foundation models.” GPT-2, 3, 3.5,

IT 267

IT Modeling Testing Risk 267

CIO Business Intelligence

NOVEMBER 27, 2024

From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. For companies investing in data science, realizing the return on these investments requires embedding AI deeply into business processes.

Data Architecture 128

Data Architecture Cost-Benefit Machine Learning Experimentation 128

CIO Business Intelligence

FEBRUARY 9, 2024

Like many other professional sports leagues, the NFL has been at the leading edge of data-driven transformation for years. Digital Athlete is a platform that leverages AI and machine learning (ML) to predict from plays and body positions which players are at the highest risk of injury.

Recreation/Entertainment 134

Recreation/Entertainment Data-driven Risk Digital Transformation 134

O'Reilly on Data

JUNE 14, 2024

Generative AI models are trained on large repositories of information and media. They are then able to take in prompts and produce outputs based on the statistical weights of the pretrained models of those corpora. In essence, the latest O’Reilly Answers release is an assembly line of LLM workers.

Metadata 199

Metadata Publishing Modeling Data-driven 199

Smart Data Collective

MAY 22, 2022

Since the decisions are data-driven, you have a lower likelihood of falling victim to attacks. With AI, the risk score for a device doesn’t depend on individual indicators. Predicting If a Device Is at Risk. AI-driven protection assesses your device when a new signal is detected. It all depends on the risk score.

Data-driven 142

Data-driven Risk Experimentation IT 142

O'Reilly on Data

APRIL 22, 2020

For example, payday lending businesses are no doubt compliant with the law, but many aren’t models for good corporate citizenship. The European Union’s General Data Protection Regulation (GDPR), for instance, imposes fines of up to 2%–4% of global annual revenue. You can hire compliance experts to advise you, and lawyers to defend you.

Cost-Benefit 250

Cost-Benefit Finance Data-driven Strategy 250

CIO Business Intelligence

JULY 25, 2024

Easy access to online genAI platforms, such as ChatGPT, lets employees carelessly or inadvertently upload sensitive or confidential data. Organizations are reacting to the rise of AI in one of two ways: Encouraging widespread use, with little oversight or understanding of the risks.

Data-driven 128

Data-driven Risk Machine Learning Enterprise 128

CIO Business Intelligence

OCTOBER 23, 2024

Despite AI’s potential to transform businesses, many senior technology leaders find themselves wrestling with unpredictable expenses, uneven productivity gains, and growing risks as AI adoption scales, Gartner said. Gartner’s data revealed that 90% of CIOs cite out-of-control costs as a major barrier to achieving AI success.

Enterprise 141

Enterprise Cost-Benefit Broadcasting Risk 141

CIO Business Intelligence

SEPTEMBER 26, 2024

That’s because significant challenges persist in leveraging GenAI’s large language models (LLMs). One is the security and compliance risks inherent to GenAI. To make accurate, data-driven decisions, businesses need to feed LLMs with proprietary information, but this risks exposing sensitive data to unauthorized parties.

Enterprise 130

Enterprise Data-driven Risk Testing 130

Corinium

JUNE 6, 2019

Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers? Lack of clear, unified, and scaled data engineering expertise to enable the power of AI at enterprise scale. Regulations and compliance requirements, especially around pricing, risk selection, etc.,

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

CIO Business Intelligence

DECEMBER 3, 2024

In today’s data-driven world, the proliferation of artificial intelligence (AI) technologies has ushered in a new era of possibilities and challenges. One of the foremost challenges that organizations face in employing AI, particularly generative AI (genAI), is to ensure robust data governance and classification practices.

Data Governance 114

Data Governance Snapshot Machine Learning Risk 114

datapine

APRIL 15, 2020

It’s necessary to say that these processes are recurrent and require continuous evolution of reports, online data visualization , dashboards, and new functionalities to adapt current processes and develop new ones. In the traditional model communication between developers and business users is not a priority.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

CIO Business Intelligence

DECEMBER 5, 2024

Analysts and visualization experts on the team focus entirely on making the information more consumable so that when you look at a piece of data, you can immediately get the insight within seconds. We couldn’t bring those data assets down while we were undergoing a re-platform. Their attitude helped us succeed.

Data-driven 111

Data-driven Visualization Machine Learning Strategy 111

datapine

JANUARY 24, 2021

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. That being said, it seems like we’re in the midst of a data analysis crisis. Your Chance: Want to perform advanced data analysis with a few clicks? Data Is Only As Good As The Questions You Ask.

IT 317

IT Statistics KPI Data-driven 317

CIO Business Intelligence

JULY 24, 2024

Alphabet, the parent of Google, had solid results in its second quarter, with revenues of US$85 billion, driven by Search, as well as Cloud, which the company said exceeded US$10 billion in quarterly revenues for the first time. And second, strong Google Workspace growth, primarily driven by increases in average revenue per seat.

Advertising 126

Advertising Data-driven Risk Sales 126

CIO Business Intelligence

JANUARY 23, 2024

Keep the number of metrics small and manageable, ideally three or four, and at most seven key ones because people cannot focus on multiple pages of data.” Efficiency metrics might show the impacts of automation and data-driven decision-making. He suggests, “Choose what you measure carefully to achieve the desired results.

Measurement 141

Measurement Digital Transformation KPI Metrics 141

CIO Business Intelligence

JUNE 27, 2024

Seven companies that license music, images, videos, and other data used for training artificial intelligence systems have formed a trade association to promote responsible and ethical licensing of intellectual property. These frameworks should identify, evaluate, and address potential risks in AI projects and initiatives.

Risk 128

Risk Measurement Risk Management Strategy 128