Timo Elliott

JANUARY 10, 2022

I recently had the opportunity to sit down with Tom Raftery , host of the SAP Industry Insights Podcast (among others!) Most people rent skis rather than buying, because it’s easier and cheaper and more convenient — so why not apply that model to more things? The logic of the argument was very convincing.

Data Processing 121

Data Processing Manufacturing Machine Learning Technology 121

Smart Data Collective

APRIL 2, 2019

Cloud technology has had a profound impact on the web hosting profession. Since big data has revolutionized the web hosting industry, a myriad of new hosting options are available. Big data is streamling hosting services, enhancing the user experience and improving customer support.

Data Processing 97

Data Processing Big Data Marketing Data-driven 97

CIO Business Intelligence

NOVEMBER 16, 2023

A large language model (LLM) is a type of gen AI that focuses on text and code instead of images or audio, although some have begun to integrate different modalities. But there’s a problem with it — you can never be sure if the information you upload won’t be used to train the next generation of the model. It’s not trivial,” she says.

Modeling 138

Modeling Enterprise Marketing Sales 138

DataRobot Blog

JUNE 27, 2022

Monitoring Modern Machine Learning (ML) Methods In Production. In our previous two posts, we discussed extensively how modelers are able to both develop and validate machine learning models while following the guidelines outlined by the Federal Reserve Board (FRB) in SR 11-7. Monitoring Model Metrics.

Risk 59

Risk Modeling Metrics Measurement 59

IBM Big Data Hub

AUGUST 23, 2023

When it comes to hosting applications on Amazon Web Services (AWS), one of the most important decisions you will need to make is which Amazon Elastic Compute Cloud (EC2) instance type to choose. EC2 instances are virtual machines that allow you to run your applications on AWS.

Data Processing 40

Data Processing Optimization Testing Modeling 40

Cloudera

MARCH 26, 2024

How do you adapt a foundational model to your specific needs? Cloudera: Your Trusted Partner in AI With over 25 Exabytes of Data Under Management and hundreds of customers leveraging our platform for Machine Learning, Cloudera has a long and successful history as an industry leader. How much is all this really going to cost?

Cost-Benefit 83

Cost-Benefit Machine Learning Enterprise Modeling 83

CIO Business Intelligence

JANUARY 26, 2024

Carnegie Mellon University The Machine Learning Department of the School of Computer Science at Carnegie Mellon University was founded in 2006 and grew out of the Center for Automated Learning and Discovery (CALD), itself created in 1997 as an interdisciplinary group of researchers with interests in statistics and machine learning.

Machine Learning 105

Machine Learning Statistics Recreation/Entertainment Data Science 105

DataRobot

JULY 27, 2021

In a global marketplace where decision-making needs to happen with increasing velocity, data science teams often need not only to speed up their modeling deployment but also do it at scale across their entire enterprise. This allows for the pipelining of incredibly complex inference models.

Optimization 98

Optimization Modeling Machine Learning Deep Learning 98

CIO Business Intelligence

APRIL 9, 2024

Previously head of cybersecurity at Ingersoll-Rand, Melby started developing neural networks and machine learning models more than a decade ago. I was literally just waiting for commercial availability [of LLMs] but [services] like Azure Machine Learning made it so you could easily apply it to your data.

Digital Transformation 100

Digital Transformation Machine Learning Data Lake Software 100

DataRobot Blog

MAY 26, 2022

Validating Modern Machine Learning (ML) Methods Prior to Productionization. Last time , we discussed the steps that a modeler must pay attention to when building out ML models to be utilized within the financial institution. Validating Machine Learning Models.

Risk 52

Risk Modeling Metrics Business Objectives 52

O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools.

Management 332

Management Machine Learning Experimentation Metrics 332

AWS Big Data

JANUARY 17, 2024

it’s now effortless to integrate with AI/ML models to power semantic search and other use cases. To use neural search, you must set up an ML model. In this post, we demonstrate how to configure AI/ML connectors to external models through the OpenSearch Service console. Starting with version 2.9

Dashboards 102

Dashboards Data Processing Modeling Machine Learning 102

Decision Management Solutions

FEBRUARY 26, 2020

The International Institute for Analytics (I’m a faculty member) recently hosted me for a webinar on Digital Decisioning: Driving Business Value from Advanced Analytics, Machine Learning and AI. A few key tips: It’s easy to spend money on AI and Machine Learning. It’s much harder to deliver value.

Machine Learning 45

Machine Learning Analytics Data Processing Management 45

CIO Business Intelligence

SEPTEMBER 26, 2023

This demand in AI and generative AI workloads, according to co-founder CTO Larry Ellison , will sustain itself as enterprises continue feeding data to AI engines or models to keep them up-to-date or relevant, which in turn will create demand for Oracle’s offerings for model training, inferencing, and grounding.

Strategy 141

Strategy Data Processing Data-driven Machine Learning 141

CIO Business Intelligence

DECEMBER 6, 2023

Its digital transformation began with an application modernization phase, in which Dickson and her IT teams determined which applications should be hosted in the public cloud and which should remain on a private cloud. 2, machine learning/AI (31%), the packaging company has three use cases in proof of concept. As for No.

Manufacturing 89

Manufacturing Data Lake Digital Transformation Machine Learning 89

Smart Data Collective

JUNE 15, 2021

They are using machine learning to solve a number of complex problems. However, it is important to make sure that you understand the potential role of AI and what business model to build around it. However, even the most brilliant idea built around AI technology can fail without a proper business model.

Modeling 91

Modeling Advertising Cost-Benefit Machine Learning 91

DataRobot Blog

FEBRUARY 28, 2023

Integrating different systems, data sources, and technologies within an ecosystem can be difficult and time-consuming, leading to inefficiencies, data silos, broken machine learning models, and locked ROI. We recently announced DataRobot’s new Hosted Notebooks capability. Learn more about DataRobot hosted notebooks.

Data Processing 72

Data Processing Experimentation Machine Learning Modeling 72

Analytics Vidhya

MAY 15, 2023

Google I/O is a highly anticipated annual developer conference hosted by Google, where the company showcases its latest technologies and products. This year’s event, held in May 2023, did not disappoint.

Data Processing 280

Data Processing Technology Analytics IT 280

CIO Business Intelligence

APRIL 11, 2024

Oracle Cloud Infrastructure is now capable of hosting a full range of traditional and modern IT workloads, and for many enterprise customers, Oracle is a proven vendor,” says David Wright, vice president of research for cloud infrastructure strategies at research firm Gartner.

Enterprise 124

Enterprise IT Data Processing Strategy 124

AWS Big Data

JULY 14, 2023

Defining and capturing a business capability model If an enterprise doesn’t have a system to capture the business capability model, consider defining and finding a way to capture the model for better insight and visibility, and then map it with digital assets like APIs. It keeps evolving with business requirements and usage.

Modeling 71

Modeling Visualization Reporting Measurement 71

CIO Business Intelligence

MAY 20, 2022

The Machine Learning Department at Carnegie Mellon University was founded in 2006 and grew out of the Center for Automated Learning and Discovery (CALD), itself created in 1997 as an interdisciplinary group of researchers with interests in statistics and machine learning. Carnegie Mellon University.

Machine Learning 145

Machine Learning Statistics Recreation/Entertainment Data Science 145

CIO Business Intelligence

FEBRUARY 6, 2023

Matt Marolda, the company’s chief innovation officer who came on board in 2021, has played a key role developing AI models for “custom-tailored” insurance packages, for example. So we had to kind of rethink and reimagine our whole model of engaging with policyholders or potential policyholders.” Acrisure, of Grand Rapids, Mich.,

Insurance 128

Insurance IT Digital Transformation Machine Learning 128

CIO Business Intelligence

APRIL 6, 2022

Simply put, the solution is alerting you to look for the compromised host, but you’ve already been breached. XDR expands visibility into security alerts and raw data across all security telemetry then applies analytics, automation, and machine learning to detect, analyze, hunt, and stop threats and breaches. Automated response.

Data Processing 97

Data Processing Machine Learning Risk Dashboards 97

CIO Business Intelligence

NOVEMBER 16, 2022

Brown recently spoke with CIO Leadership Live host Maryfran Johnson about advancing product features via sensor data, accelerating digital twin strategies, reinventing supply chain dynamics and more. AI and machine learning are mature today. That is part of the value we bring to the table.

IT 133

IT Modeling Digital Transformation Data Governance 133

O'Reilly on Data

MAY 18, 2020

This article answers these questions, based on our combined experience as both a lawyer and a data scientist responding to cybersecurity incidents, crafting legal frameworks to manage the risks of AI, and building sophisticated interpretable models to mitigate risk. And last is the probabilistic nature of statistics and machine learning (ML).

Risk 359

Risk Modeling Data Processing Software 359

CIO Business Intelligence

APRIL 30, 2024

AI, including Generative AI (GenAI), has emerged as a transformative technology, revolutionizing how machines learn, create, and adapt. Learn more about this here. Chatbots, voice assistants, and language translation services can operate locally using NLP models. over the 2023-2027 forecast period 1.

Forecasting 102

Forecasting Optimization Advertising IoT 102

CIO Business Intelligence

SEPTEMBER 8, 2023

The easy things: A clear understanding of AI terminology and risks There’s a host of things that can be established with relative ease early in an organization’s AI journey. What is this model good at and what should be the boundaries on how and where it’s applied? Artificial Intelligence, Machine Learning

Risk 126

Risk Strategy Modeling Data Processing 126

DataRobot Blog

MARCH 28, 2022

DataRobot provides a Machine Learning platform that allows data scientists and citizen data scientists to quickly and efficiently prepare, build and evaluate many competing models in order to identify the optimal algorithm to solve the use case. Learn more. Learn More About the AWS and DataRobot Technology Alliance.

Cost-Benefit 52

Cost-Benefit Machine Learning Data Processing Optimization 52

DataRobot

NOVEMBER 16, 2021

Many organizations, including state and local governments, are dipping their toes into machine learning (ML) and artificial intelligence (AI). Organizations do not realize the full benefits of AI because models are not often deployed. It should not matter which platform or language the model was built on. What is MLOps?

Cost-Benefit 98

Cost-Benefit Machine Learning Modeling Risk 98

DataRobot

JUNE 29, 2021

Well, just imagine a production machine learning model that always stays accurate after it’s deployed—all by itself. Machine learning models trained on 2019 data didn’t know what to do. Continuous AI not only retrains your current production models for you. Why do I think this? Over and over.

Machine Learning 80

Machine Learning Data Processing Forecasting Modeling 80

CIO Business Intelligence

DECEMBER 21, 2023

This vast amount of high-quality data serves as the foundation for their AI models, enabling Zscaler to develop robust algorithms that accurately detect and prevent cyber threats. Our AI-powered threat detection uses a diffusion model and Generative AI to detect complex exploit frameworks often used by Ransomware threat actors.

Data-driven 103

Data-driven Risk Enterprise Cost-Benefit 103

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.

Unstructured Data 95

Unstructured Data Cost-Benefit Experimentation Machine Learning 95

CIO Business Intelligence

JUNE 16, 2022

Cloud-first applications support a manageable OpEx cost model, metered like a utility, as opposed to requiring significant upfront capital investments in infrastructure and software licenses. That’s illustrated by the ability of cloud-first businesses to pivot to a remote work-from-home model with unprecedented speed and scale.”.

Strategy 138

Strategy Enterprise Digital Transformation Data Processing 138

CIO Business Intelligence

AUGUST 7, 2023

We’ve found it helpful to think in terms of three archetypes: Takers use a chat interface or an API to quickly access a commodity service via a publicly available model. In shaper use cases, CIOs need to integrate existing gen AI models with internal data and systems to work together seamlessly and generate customized results.

Modeling 94

Modeling Sales Cost-Benefit Data Processing 94

CIO Business Intelligence

AUGUST 19, 2022

So we had to kind of rethink and reimagine our whole model of engaging with policyholders or potential policyholders.”. Hosted on AWS, the Virtual Enrollment Experience developed by Aflac includes a microsite customized for each account. “We There was really nothing revolutionary about it,” Gilbert says. “We

Insurance 97

Insurance Digital Transformation Data Processing Machine Learning 97

CIO Business Intelligence

JULY 17, 2023

The Infrastructure-as-a-Service (IaaS) cloud computing model enables remote working, supports digital transformation, provides scale, increases resilience, and can reduce costs. Unless the model is understood and followed, it could lead to data, applications, and cloud workloads being exposed to security vulnerabilities.

Management 98

Management Data Processing Risk Digital Transformation 98

CIO Business Intelligence

APRIL 25, 2022

The data science path you ultimately choose will depend on your skillset and interests, but each career path will require some level of programming, data visualization, statistics, and machine learning knowledge and skills. It offers a bootcamp in data science and machine learning for individuals with experience in Python and coding.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145