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. All predictive models are wrong at times?—just

Risk 359

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IBM Big Data Hub

APRIL 3, 2024

The suite’s simplified licensing model also offers greater adaptability, which enables users to scale their usage according to requirements. Figure 1: TAS on customer-hosted Red Hat OpenShift high-level architecture 2. Figure 2: TAS on customer-hosted ROSA high-level architecture 3.

Data Processing 64

Data Processing Cost-Benefit Optimization Management 64

CIO Business Intelligence

NOVEMBER 27, 2023

Intelligent assistants are already changing how we search, analyze information, and do everything from creating code to securing networks and writing articles. Retraining creates expert models that are more accurate, smaller, and more efficient to run. The results are impressive and improving at a geometric rate. Not at all.

Risk 132

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Laminar Security

DECEMBER 1, 2023

In this article, we will help you evaluate and compare different DSPM solutions based on these criteria. Some of the common types are: Agent-based: Also referred to as connector-based, these solutions require installing agents or software on each cloud resource or device that hosts or has access to sensitive data.

Modeling 52

Modeling Cost-Benefit Risk Data-driven 52

CIO Business Intelligence

OCTOBER 11, 2023

To overcome these challenges, energy companies are increasingly turning to artificial intelligence (AI), particularly generative AI large language models (LLM). First, AI is improving weather models so that utilities can have a better idea of where disaster might strike. Today, over 70% of the U.S. How can AI and generative AI help?

Unstructured Data 137

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CIO Business Intelligence

MARCH 11, 2024

The article states “There will likely be a surge in vertical SaaS solutions tailored to specific industries. Deep industry domain knowledge takes time – and experience – to build, and generally requires a much more expansive delivery model. The funding model also changes – for nearly all verticals.

Manufacturing 106

Manufacturing Cost-Benefit Finance Marketing 106

O'Reilly on Data

FEBRUARY 4, 2019

As interest in machine learning (ML) and AI grow, organizations are realizing that model building is but one aspect they need to plan for. Machine Learning model lifecycle management. Our survey also aligned with recent articles describing the strong demand for data scientists. Transportation and Logistics.

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IBM Big Data Hub

SEPTEMBER 5, 2023

GitOps is a cloud-native model for operations that takes into account model-driven, configuration-based deployments onto immutable infrastructure that support dynamic production environments at scale. Intellyx retains final editorial control of this article. No AI was used to write this article.

Software 121

Software Testing Digital Transformation Interactive 121

Jet Global

MARCH 8, 2024

Recently Google shared its own local model: Gemma. Gemma is a family of lightweight, state-of-the-art open models built from the same research and technology used to create the Gemini models. Gemma has been shared on HuggingFace , and is also available in the popular LLM hosting software Ollama.

Dashboards 52

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Occam's Razor

SEPTEMBER 15, 2011

Winners, well before they think data or tool, have a well structured Digital Marketing & Measurement Model. This article guides you in understanding the value of the Digital Marketing & Measurement Model (notice the repeated emphasis on Marketing, not just Measurement), and how to create one for yourself. Acquisition.

Measurement 166

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Jet Global

JUNE 22, 2023

Many of the articles feature interviews from executives of large technology companies that are exploring new frontiers. Deloitte CFO Articles & Insights Link: [link] Anyone in finance should know about Deloitte. Recommended Post: [link] The CFO Leadership Council did a series of articles on meeting their members!

KPI 105

KPI Finance Dashboards Digital Transformation 105

IBM Big Data Hub

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Most experts categorize it as a powerful, but narrow AI model. A key trend is the adoption of multiple models in production.

Cost-Benefit 90

Cost-Benefit Modeling Manufacturing Interactive 90

Timo Elliott

DECEMBER 6, 2023

On premise and hosted customers are unhappy, to put it mildly. First, before we joined and commented on the debate, research we have conducted amongst our members, shows 79% of you that have moved to S/4HANA are an on-premise or hosted deployment. The point is that the road has always been bumpy. I can see that point.

Data Processing 59

Data Processing Marketing IT Risk 59

CIO Business Intelligence

DECEMBER 20, 2023

This is called delivery upselling and articles are brought to the customer’s doorstep. Since a delivery management system hosts a mammoth of customer data, it provides a lucrative opportunity to enhance the revenue model. The customer may decide to purchase the related products when seeing them.

Software 111

Software Deep Learning B2B Cost-Benefit 111

CIO Business Intelligence

FEBRUARY 27, 2023

He reached out to a range of people in the Black IT community, from entry-level professionals to those in the C-suite, spotlighting their work in profile articles and featuring them on his podcast. By 2018, the foundation started hosting its own conference, BITCON, with corporate sponsors such as Amazon, Google, and Microsoft.

Technology 105

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Domino Data Lab

NOVEMBER 24, 2019

Second, we aren’t merely using k8s to install our platform services — we went deep: we rebuilt our whole compute grid to leverage k8s to distribute data science workloads, including model training jobs, interactive notebook sessions, hosting apps and deploying production models.

Data Science 68

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Smart Data Collective

MAY 28, 2021

I’d wager you still got a great bunch of doubts in your mind concerning these claims, but at the end of this article you’ll find that your doubts vanish into thin air like a “puff of smoke.”. Host, develop, manage web or mobile apps. Yeah, awesome! But, then……. How do you put it to work?

Data-driven 133

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Smart Data Collective

FEBRUARY 20, 2022

In this article we will list 10 things AWS can do for your SaaS company. This article finally gets to the core question we started with: what can AWS do for your SaaS business? AWS also offers a variety of AI model development and delivery platforms , as well as packaged AI-based applications. Let’s just dive right in.

Cost-Benefit 114

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IBM Big Data Hub

DECEMBER 4, 2023

As part of our generative AI initiatives, we can demonstrate the ability to use a foundation model with prompt tuning to review the structured and unstructured data within the insurance documents (data associated with the customer query) and provide tailored recommendations concerning the product, contract or general insurance inquiry.

Insurance 54

Insurance Digital Transformation Risk Management Interactive 54

CIO Business Intelligence

NOVEMBER 22, 2022

A model like the HPE Digital Journey Map offers a simplified representation of the digital transformation system intended to promote understanding of the real system and to seek answers to specific questions about the system.

Digital Transformation 98

Digital Transformation Strategy Marketing Data Processing 98

IBM Big Data Hub

AUGUST 9, 2023

Additionally, VPC allows seamless integration with other IBM Cloud services, creating a unified ecosystem to host various applications and workloads. Cost- e ffectiveness: Both VPC and PowerVS follow a pay-as-you-go pricing model, allowing businesses to optimize costs by scaling resources based on actual usage.

Data Processing 72

Data Processing Testing Optimization Reporting 72

FineReport

JULY 21, 2021

Based on business data, BI visualizes business problems through graphics and models. On the contrary, the cloud software is hosted on the provider’s server and accessed through a web browser. The FineReport mentioned in this article is a professional enterprise-level BI Reporting & Dashboard Software.

Business Intelligence 98

Business Intelligence Enterprise Dashboards Sales 98

Smart Data Collective

JUNE 4, 2021

Data scientists use algorithms for creating data models. These data models predict outcomes of new data. Programming knowledge is needed for the typical tasks of transforming data, creating graphs, and creating data models. Machine learning is the science of building models automatically. Where to start? Deep Learning.

Data Science 104

Data Science Statistics Deep Learning Machine Learning 104

Smart Data Collective

NOVEMBER 18, 2020

It includes the analysis of hidden data models according to various translation options into useful information that is collected and generated in data warehouses to facilitate business decisions designed to reduce costs and increase income. It hosts a data analysis competition. Data Mining Techniques and Data Visualization.

Data mining 143

Data mining Data Science Informatics Statistics 143

Smart Data Collective

NOVEMBER 29, 2021

Many business owners have discovered the wonders of using big data for a variety of common purposes, such as identifying ways to cut costs, improve their SEO strategies with data-driven methodologies and even optimize their human resources models. You can look at successful events and the ROI they brought in for the companies hosting them.

Data Analytics 110

Data Analytics Analytics Big Data B2B 110

IBM Big Data Hub

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Because data analysts often build machine learning models, programming and AI knowledge are also valuable. Deep learning algorithms are neural networks modeled after the human brain.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

IBM Big Data Hub

APRIL 26, 2023

In this article, we are going focus first on comparing scale-up vs scale-out. When this is done in the cloud, applications often get moved onto more powerful instances and may even migrate to a different host and retire the server they were on. What is scale-up (or vertical scaling)?

Cost-Benefit 66

Cost-Benefit Data Processing Software Data-driven 66

Alation

JULY 13, 2021

Yet increasing complexity of data makes the old “lift-and-shift” model not just unrealistic, but risky. We have seen the COVID-19 pandemic accelerate the timetable of cloud data migration , as companies evolve from the traditional data warehouse to a data cloud, which can host a cloud computing environment. The race to the cloud is on!

Strategy 52

Strategy Data mining Structured Data Data Governance 52

CIO Business Intelligence

MARCH 25, 2024

First, you serve as a role model. She shared her insights within her company and with the external professional community, while also hosting office hours and writing blog posts. “I Taking steps that matter Cultivating and maintaining a public professional image takes work and ongoing attention, agree the sources for this article.

IT 130

IT Strategy Management Insurance 130

CIO Business Intelligence

AUGUST 9, 2023

Additionally, digital transformation marks a rethinking of how organizations use technology, people, and processes in pursuit of new business models and new revenue streams – growth opportunities that themselves are driven by changes in customer expectations for products and services. Next, “Horizon 2 is about innovating business models.

Digital Transformation 137

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Smart Data Collective

AUGUST 8, 2019

Jathan Sadowski wrote an article in The Guardian a couple years ago on the intersection between big data and cybersecurity. In particular, they needed to create complex phishing kits from scratch, launch spam hoaxes that looked trustworthy, and set up or hack websites to host deceptive landing pages.

Big Data 85

Big Data Data Processing Machine Learning Predictive Analytics 85

Cloudera

SEPTEMBER 29, 2022

Each of these trends claim to be complete models for their data architectures to solve the “everything everywhere all at once” problem. In this article, we attempt to show how these concepts may be related to each other, and even suggest thinking about all of them all at once (gasp!). Data fabric defined.

Data Architecture 78

Data Architecture Metadata Data Warehouse Sales 78

datapine

SEPTEMBER 29, 2022

In this article, we will detail everything which is at stake when we talk about DQM: why it is essential, how to measure data quality, the pillars of good quality management, and some data quality control techniques. These needs are then quantified into data models for acquisition and delivery. 2 – Data profiling.

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Insight

AUGUST 16, 2019

Here is a collection of great articles that shed some light on these questions and have helped our Fellows in the past: 1. The article by Pranav Dar walks through the different technical skills a data engineer should acquire and lists useful resources to get started. What is Data Engineering and what is the role of a Data Engineer?

Big Data 51

Big Data Data Science Data Processing Machine Learning 51

Smart Data Collective

MARCH 8, 2021

The cloud is an online storage model provided by a third party. In this article, we’ll walk you through the best cloud storage services according to Alpacked. Dropbox is a file hosting service that includes cloud storage and data sync. You can keep reading to find the top cloud storage solutions you cannot miss.

Data Processing 90

Data Processing IT Testing Optimization 90

Domino Data Lab

APRIL 3, 2019

This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form. Welcome back to our monthly burst of themes and conferences.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

datapine

MAY 2, 2023

In this article, we’re going to examine examples and benefits of big data in logistics industry to fuel your imagination and get you thinking outside of the box. In a recent move towards a more autonomous logistical future, Amazon has launched an upgraded model of its highly-successful KIVA robots.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275