DataRobot Blog

MARCH 7, 2023

Organizations that want to prove the value of AI by developing, deploying, and managing machine learning models at scale can now do so quickly using the DataRobot AI Platform on Microsoft Azure. This generates reliable business insights and sustains AI-driven value across the enterprise.

Data-driven 59

Data-driven Machine Learning Experimentation Data Lake 59

Smart Data Collective

FEBRUARY 14, 2021

Big data is fundamental to the future of software development. A growing number of developers are finding ways to utilize data analytics to streamline technology rollouts. Data-driven solutions are particularly important for SaaS technology. Big Data Technology is Pivotal to SaaS Deployments.

Data-driven 85

Data-driven Big Data Deep Learning Software 85

Domino Data Lab

AUGUST 10, 2021

Models are the central output of data science, and they have tremendous power to transform companies, industries, and society. At the center of every machine learning or artificial intelligence application is the ML/AI model that is built with data, algorithms and code. What Is Modeling?

Modeling 64

Modeling IT Risk Management Deep Learning 64

CIO Business Intelligence

MAY 14, 2024

In past years, reporting fatal drug overdoses has largely been a paper- and human-driven process in King County, which shares the information with state and federal agencies. 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.

Deep Learning 79

Deep Learning Machine Learning Reporting Experimentation 79

DataRobot Blog

DECEMBER 15, 2022

Working from datasets you already have, a Time Series Forecasting model can help you better understand seasonality and cyclical behavior and make future-facing decisions, such as reducing inventory or staff planning. Let’s run through the process and see exactly how you can go from data to predictions. Setting up a Time Series Project.

Forecasting 81

Forecasting Modeling ROI Machine Learning 81

BizAcuity

JUNE 16, 2022

This model has recently garnered a lot of attention. Under this model, the strategy is to make use of both private (for highly confidential data) and public cloud infrastructure for cost and performance optimization. A well-calculated combination can do miracles for cost saving without compromising on data security.

Data-driven 52

Data-driven IoT Data Processing Optimization 52

Domino Data Lab

APRIL 29, 2021

Deep learning enthusiasts are increasingly putting NVIDIA’s GTC at the top of their gotta-be-there conference list. Three of them were particularly compelling and inspired a new point of view on transfer learning that I feel is important for analytical practitioners and leaders to understand. Deep Learning Trends from GTC21.

Data Science 134

Data Science Deep Learning Modeling Forecasting 134

Rocket-Powered Data Science

JULY 13, 2023

Data is more than just another digital asset of the modern enterprise. So, what happens when the data flows are not quarterly, or monthly, or even daily, but streaming in real-time? So, what happens when the data flows are not quarterly, or monthly, or even daily, but streaming in real-time? It is an essential asset.

Analytics 167

Analytics Machine Learning Data Science Deep Learning 167

O'Reilly on Data

JANUARY 7, 2020

Integrating data from many sources, complex business and logic challenges, and competitive incentives to make data more useful all combine to elevate AI and automation technologies from optional to required. The line between data and AI is blurring. We’re in a highly empirical era for machine learning.

Deep Learning 177

Deep Learning Machine Learning Experimentation Modeling 177

O'Reilly on Data

MARCH 24, 2020

In a world focused on buzzword-driven models and algorithms, you’d be forgiven for forgetting about the unreasonable importance of data preparation and quality: your models are only as good as the data you feed them. Why is high-quality and accessible data foundational?

Machine Learning 343

Machine Learning Statistics Data Quality Modeling 343

Laminar Security

DECEMBER 13, 2023

In the ever-evolving digital landscape, the importance of data discovery and classification can’t be overstated. As we generate and interact with unprecedented volumes of data, the task of accurately identifying, categorizing, and utilizing this information becomes increasingly difficult.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

O'Reilly on Data

DECEMBER 10, 2019

We can collect many examples of what we want the program to do and what not to do (examples of correct and incorrect behavior), label them appropriately, and train a model to perform correctly on new inputs. In short, we can use machine learning to automate software development itself. Instead, we can program by example. and Matroid.

Software 259

Software Machine Learning Risk Data-driven 259

Smart Data Collective

MAY 2, 2019

Large companies around the world are investing in big data. Big data has been especially important for optimizing their marketing campaigns. Local marketing agencies have discovered that SEO is more dependent on big data than ever. They are developing more data driven solutions to offer better search marketing strategies.

Big Data 111

Big Data Optimization Modeling Deep Learning 111

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

IBM Big Data Hub

FEBRUARY 19, 2024

Data monetization empowers organizations to use their data assets and artificial intelligence (AI) capabilities to create tangible economic value. This value exchange system uses data products to enhance business performance, gain a competitive advantage, and address industry challenges in response to market demand.

Cost-Benefit 65

Cost-Benefit Data-driven Optimization Marketing 65

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

Machine Learning 73

Machine Learning Manufacturing Cost-Benefit Deep Learning 73

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity.

Testing 300

Testing Machine Learning Consulting Data Quality 300

O'Reilly on Data

OCTOBER 19, 2021

Much has been written about struggles of deploying machine learning projects to production. As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. Why: Data Makes It Different.

IT 342

IT Testing Experimentation Software 342

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.

Marketing 361

Marketing Experimentation Metrics Testing 361

Cloudera

OCTOBER 24, 2023

The AI technologies of today—including not just large language models (LLMs) but also deep learning, reinforcement learning, and natural-language processing (NLP) tools—will equip telcos with powerful new automation and analytics capabilities. This is the essence of “Trusted AI Everywhere.”

Interactive 79

Interactive Data-driven Cost-Benefit Optimization 79

IBM Big Data Hub

MARCH 27, 2024

This article explores an innovative way to streamline the estimation of Scope 3 GHG emissions leveraging AI and Large Language Models (LLMs) to help categorize financial transaction data to align with spend-based emissions factors. Why are Scope 3 emissions difficult to calculate?

Experimentation 75

Experimentation Modeling Deep Learning Data-driven 75

IBM Big Data Hub

FEBRUARY 13, 2024

Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.” Demystifying generative AI At the heart of Generative AI lie massive databases of texts, images, code and other data types.

Enterprise 120

Enterprise Modeling Testing Data-driven 120

CIO Business Intelligence

JANUARY 25, 2024

With two decades of experience as a human resources leader, Deepa Subbaiah, a senior director for HR at Freshworks, has deep expertise in exploring how enterprise teams can get the most out of workplace tech, from first-generation SaaS applications in the early 2000s to today’s AI-powered chatbots. Make it appealing and relevant to me.”

Deep Learning 99

Deep Learning Cost-Benefit Statistics Manufacturing 99

CIO Business Intelligence

SEPTEMBER 19, 2023

Airbnb is one company using AI to optimize pricing on AWS, utilizing AI to manage capacity, to build custom cost and usage data tools, and to optimize storage and computing capacity. For other companies, AI use in customer service has also been driven by consumer’s increased expectations.

Enterprise 141

Enterprise Cost-Benefit Optimization Deep Learning 141

CIO Business Intelligence

APRIL 27, 2022

As a technology company you can imagine how easy it is to think of data-first modernization as a technology challenge. Data fabric, data cleansing and tagging, data models, containers, inference at the edge – cloud-enabled platforms are all “go-to” conversation points. and “how to do it?” and “how to do it?”,

Strategy 136

Strategy Data-driven Internet of Things Measurement 136

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 353

Enterprise Modeling Risk Manufacturing 353

IBM Big Data Hub

NOVEMBER 14, 2023

Data monetization is a business capability where an organization can create and realize value from data and artificial intelligence (AI) assets. A value exchange system built on data products can drive business growth for your organization and gain competitive advantage.

Strategy 106

Strategy Cost-Benefit Data-driven Measurement 106

CIO Business Intelligence

JANUARY 23, 2023

As OpenAI’s exclusive cloud provider it will see additional revenue for its Azure services, as one of OpenAI’s biggest costs is providing the computing capacity to train and run its AI models. Prompted to describe its limitations, ChatGPT said, “Its performance can be affected by the quality and quantity of the training data.

Enterprise 130

Enterprise Deep Learning Recreation/Entertainment Interactive 130

Smarten

APRIL 19, 2024

OpenAI – Azure OpenAI as the foundational entity for creating GPT models and is based on Large Language Models (LLM). GPT – Is based on a Large Language Model (LLM). Benefits include customized and optimized models, data, parameters and tuning. It must be integrated with business systems to leverage available data.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

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. The data will enable companies to provide more personalized services and product choices.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

IBM Big Data Hub

FEBRUARY 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. DL models can improve over time through further training and exposure to more data. These technologies enable systems to interact, learn from interactions, adapt and become more efficient.

Enterprise 97

Enterprise Interactive Data-driven Key Performance Indicator 97

IBM Big Data Hub

DECEMBER 5, 2023

With the rise of highly personalized online shopping, direct-to-consumer models, and delivery services, generative AI can help retailers further unlock a host of benefits that can improve customer care, talent transformation and the performance of their applications. trillion in that year.

Unstructured Data 91

Unstructured Data Cost-Benefit Experimentation Machine Learning 91

IBM Big Data Hub

APRIL 22, 2024

To drive real change, it’s crucial for individuals, industries, organizations and governments to work together, using data and technology to uncover new opportunities that will help advance sustainability initiatives across the globe. The world is behind on addressing climate change.

IoT 79

IoT Internet of Things Cost-Benefit Reporting 79

IBM Big Data Hub

MAY 17, 2024

Poorly run implementations of traditional or generative AI in commerce—such as models trained on inadequate or inappropriate data—lead to bad experiences that alienate consumers and businesses. This includes trust in the data, the security, the brand and the people behind the AI.

B2B 66

B2B Interactive Optimization Forecasting 66

AWS Big Data

MAY 16, 2024

In this post, we discuss how Amazon Redshift spatial index functions such as Hexagonal hierarchical geospatial indexing system (or H3) can be used to represent spatial data using H3 indexing for fast spatial lookups at scale. Navigating the vast landscape of data-driven insights has always been an exciting endeavor.

Data Warehouse 109

Data Warehouse Visualization Cost-Benefit Optimization 109

DataRobot Blog

APRIL 22, 2022

In our previous post , we talked about how red AI means adding computational power to “buy” more accurate models in machine learning , and especially in deep learning. We covered different ways of measuring model efficiency and showed ways to visualize this and select models based on it.

Machine Learning 98

Machine Learning Measurement Deep Learning Manufacturing 98

Ontotext

FEBRUARY 26, 2024

This is part of Ontotext’s AI-in-Action initiative aimed at enabling data scientists and engineers to benefit from the AI capabilities of our products. Further, RED’s underlying model can be visually extended and customized to complex extraction and classification tasks. and “What is the financial impact?”.

Data-driven 59

Data-driven Risk Modeling Risk Management 59