erwin

DECEMBER 19, 2019

To help you prepare for 2020, we’ve compiled some of the most popular data governance and metadata management blog posts from the erwin Experts from this year. The Best Data Governance and Metadata Management Blog Posts of 2019. Data Mapping Tools: What Are the Key Differentiators.

Metadata 75

Metadata Data Governance Management Digital Transformation 75

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.

Strategy 289

Strategy Experimentation Uncertainty Machine Learning 289

DataKitchen

DECEMBER 13, 2021

Without further ado, here are DataKitchen’s top ten blog posts, top five white papers, and top five webinars from 2021. Top 10 Blog Posts. What is a Data Mesh? Launch Your DataOps Journey with the DataOps Maturity Model. The DataOps Vendor Landscape, 2021. DataOps Data Architecture. Why DevOps Tools Fail at DataOps.

Data Architecture 246

Data Architecture Data Governance Testing Modeling 246

O'Reilly on Data

FEBRUARY 16, 2023

What didn’t receive as much news coverage (though in the last few days, it’s been well discussed online) are the many mistakes that Microsoft’s new search engine, Sydney, made. There are excellent summaries of these failures in Ben Thompson’s newsletter Stratechery and Simon Willison’s blog.

Testing 213

Testing Statistics Modeling Optimization 213

Dataiku

MARCH 25, 2024

This scenario is not science fiction but a glimpse into the capabilities of Multimodal Large Language Models (M-LLMs), where the convergence of various modalities extends the landscape of AI. When asked “What landmarks are visible in this cityscape?”

Visualization 132

Visualization Modeling Experimentation Testing 132

Rocket-Powered Data Science

JULY 6, 2023

These AI applications are essentially deep machine learning models that are trained on hundreds of gigabytes of text and that can provide detailed, grammatically correct, and “mostly accurate” text responses to user inputs (questions, requests, or queries, which are called prompts). You can find my results on my Medium blog site.

Statistics 151

Statistics Deep Learning Machine Learning Modeling 151

O'Reilly on Data

JUNE 9, 2020

The biggest problem facing machine learning today isn’t the need for better algorithms; it isn’t the need for more computing power to train models; it isn’t even the need for more skilled practitioners. I first learned about Emmanuel through articles on his blog. ) That’s what his new book is about.

Machine Learning 256

Machine Learning Modeling Metrics IT 256

Cloudera

APRIL 18, 2024

With the arrival of the latest AI-powered technologies like large language models (LLMs) and generative AI (GenAI), there’s a vast amount of opportunities for innovation, growth, and improved business outcomes right around the corner. Do I trust the models to give me useful insights? Do I trust my data to be ready for use in AI?

Analytics 104

Analytics Metadata Data Strategy Optimization 104

DataKitchen

MARCH 11, 2021

What is XOps? . DataKitchen Blog: Why Are There So Many *Ops Terms? DataKitchen Blog: Improving Teamwork in Data Analytics with DataOps. DataKitchen Blog – For Data Team Success, What You Do Is Less Important Than How You Do It. DataKitchen Blog: Deliver AI and ML Models at Scale with ModelOps.

Analytics 130

Analytics Machine Learning Modeling Reporting 130

Octopai

APRIL 19, 2021

Manual Data Lineage is a Thing of the Past Learn what Automated Data Lineage Can Do For Your BI & Analytics Team Download the eBook. Manual Data Lineage is a Thing of the Past Learn what Automated Data Lineage Can Do For Your BI & Analytics Team Download the eBook. TDWI – David Loshin. IRM UK Connects.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

CIO Business Intelligence

APRIL 22, 2024

Tan published a long blog post defending the changes on April 15, suggesting that consumer concerns aren’t going away. Early in this process, I concluded that the previous go-to-market model was too complex and costly for VMware and its customers,” Tan wrote. “It And the question there is, ‘Do we keep it on VMware?

Marketing 119

Marketing Uncertainty Strategy Digital Transformation 119

Data Science 101

SEPTEMBER 6, 2023

mad.marchy What is one area of technology or development that you are most passionate about right now, positive or negative? But I’d say in the near future I’m most excited about large language models, after that would be spatial computing. OK, let’s talk about Large Language Models (LLMs).

Interactive 111

Interactive IoT Sales Modeling 111

Insight

AUGUST 16, 2019

see below for the top 10 blog posts/resources! What is Data Engineering and what is the role of a Data Engineer? Getting Started with Data Engineering This blog post by Richard Taylor starts with a discussion of what big data and data engineering really mean before delving into an overview of the current landscape.

Big Data 51

Big Data Data Science Data Processing Machine Learning 51

IBM Big Data Hub

APRIL 22, 2024

That means making more sustainable choices about how models are built, trained, and used, where processing occurs, what infrastructure is used, and how open and collaborative we are along the way.” IBM is focused on developing energy-efficient methods to train, tune and run AI models, such as its own Granite foundation models.

Cost-Benefit 98

Cost-Benefit Modeling Manufacturing Reporting 98

DataRobot

JUNE 10, 2019

The main objective for many data scientists is to build machine learning models that predict the outcomes on unseen data that weren’t used in the development process. The performance of a model on unseen data is referred to as its ability to generalize and is ultimately how it will be judged.

Modeling 64

Modeling Machine Learning IT 64

IBM Big Data Hub

APRIL 15, 2024

Technology and disruption are not new to manufacturers, but the primary problem is that what works well in theory often fails in practice. Additionally, these accelerators are pre-integrated with various cloud AI services and recommend the best LLM (large language model) for their domain.

Manufacturing 103

Manufacturing Contextual Data Knowledge Discovery Modeling 103

IBM Big Data Hub

JANUARY 3, 2024

Most everyone has heard of large language models, or LLMs, since generative AI has entered our daily lexicon through its amazing text and image generating capabilities, and its promise as a revolution in how enterprises handle core business functions. But what about in the world of voice?

Modeling 108

Modeling Interactive Metrics Testing 108

Ontotext

MARCH 13, 2024

What is OTKG? OTKG models information about Ontotext, combined with content produced by different teams inside the organization. Our standard methodology for such projects is to start by defining competency questions that would help us understand what we need to model in our graph.

Marketing 72

Marketing Knowledge Discovery Metadata Data-driven 72

IBM Big Data Hub

MAY 1, 2024

Inventory management Generative AI models can continuously generate optimized replenishment plans based on real-time demand signals, supplier lead times and inventory levels. AI-supported what-if modeling helps develop contingency plans such as inventory, supplier or distribution center reallocation.

Forecasting 52

Forecasting Optimization Digital Transformation Risk 52

Cloudera

MARCH 6, 2024

Here’s a snapshot of what we’ll be up to during the event: Understanding and Overcoming the Limits of Large Language Models The potential for AI, and particularly tools like Large Language Models (LLMs), is vast, but that doesn’t come without drawbacks and complications.

Data Analytics 103

Data Analytics Analytics Snapshot Data Processing 103

erwin

MAY 2, 2022

How to create a solid foundation for data modeling of OLTP systems. As you undertake a cloud database migration , a best practice is to perform data modeling as the foundation for well-designed OLTP databases. This makes mastering basic data modeling techniques and avoiding common pitfalls imperative. Data modeling basics.

Modeling 98

Modeling Insurance Cost-Benefit Data Warehouse 98

IBM Big Data Hub

JANUARY 25, 2024

Yet many AI creators are currently facing backlash for the biases, inaccuracies and problematic data practices being exposed in their models. The math demonstrates a powerful truth All predictive models, including AI, are more accurate when they incorporate diverse human intelligence and experience.

Modeling 91

Modeling Predictive Modeling Risk Statistics 91

CIO Business Intelligence

MARCH 19, 2024

But what does a productivity boost look like? GenAI: An Experiment Practical evidence from researchers and analysts remains scant, but LinkedIn is full of posts about LLM (Large Language Model) prompting experiments and best practices. What product are you aiming to promote? What did you get in return? Now give it a shot.

Marketing 108

Marketing Software Interactive Enterprise 108

Cloudera

NOVEMBER 29, 2023

That’s why we’re excited to announce the Cloudera Model Registry as generally available, a game-changer that’s set to transform the way you manage your machine learning models in production environments. That’s where the Model Registry steps in. What does the Model Registry offer?

Modeling 82

Modeling Machine Learning Metadata Metrics 82

IBM Big Data Hub

MARCH 29, 2024

But what if you could optimize even further? Enterprise applications serve as repositories for extensive data models, encompassing historical and operational data in diverse databases. Generative AI foundational models train on massive amounts of unstructured and structured data, but the orchestration is critical to success.

Management 91

Management Structured Data Modeling Data Governance 91

IBM Big Data Hub

SEPTEMBER 21, 2023

Generative AI and large language models are poised to impact how we all access and use information. to streamline the handling of extensive data in support centers, simplifying complex tickets with large language models. and watsonx Assistant. .” “IBM’s watsonx.ai Integrating watsonx.ai

ROI 115

ROI Software Enterprise Modeling 115

IBM Big Data Hub

MAY 1, 2023

This wave of AI is attributable to what are known as foundation models. What are foundation models? As the name suggests, foundation models can be the foundation for many kinds of AI systems. Using machine learning techniques, these models apply information learned about one situation to another situation.

Modeling 100

Modeling Risk Machine Learning Technology 100

CIO Business Intelligence

APRIL 30, 2024

What are key activities to focus on and skills to develop that can help you land a new, exciting role faster? What does networking mean, and what activities lead to opportunities? Start a blog or contribute articles to media sites and other established blogs. Networking is a lifelong endeavor.

IT 72

IT Technology Advertising Marketing 72

Cloudera

JANUARY 19, 2018

Before we get too far into 2018, let’s take a look at the ten most popular Cloudera VISION blogs from 2017. On April 28, 2017, Mike Olson , as one of the founders of Cloudera, writes about the initial public offering, and what the milestone means. This informative blog outlines how GDPR affects the practice of data science.

Machine Learning 45

Machine Learning IoT Big Data Insurance 45

Cloudera

JANUARY 19, 2024

As described in our recent blog post , an SQL AI Assistant has been integrated into Hue with the capability to leverage the power of large language models (LLMs) for a number of SQL tasks. This blog post aims to help you understand what you can do to get started with generative AI assisted SQL using Hue image version ​​2023.0.16.0

Data Warehouse 71

Data Warehouse Data Processing Optimization Modeling 71

Cloudera

MARCH 26, 2024

How do you adapt a foundational model to your specific needs? What about security, privacy, and trust concerns? Cloudera has had an in-house expertise in Machine Learning and has been helping customers deliver machine learning applications, build ML models, and deliver ML ops for the past decade.

Cost-Benefit 78

Cost-Benefit Machine Learning Enterprise Modeling 78

IBM Big Data Hub

FEBRUARY 20, 2024

But what will the impacts of climate change be in the future? Climate models provide answers Human activities precipitated changes to the Earth’s climate in the 20th century and will largely determine the future climate. One of the latest climate modeling initiatives come through a partnership between IBM and NASA.

Modeling 122

Modeling Forecasting Reporting Risk 122

IBM Big Data Hub

FEBRUARY 15, 2024

What could possibly go wrong? It greets customers and asks what they’d like to order. From that, it detects the order and the items, then shows the customer what it heard on the digital menu board. It’s a simple order and as you pull in you notice there isn’t much of a line. It’s windy.

Technology 93

Technology Machine Learning Optimization Modeling 93

IBM Big Data Hub

FEBRUARY 8, 2024

During their time with a company, people undergo many changes that impact not only what they contribute, but also what kind of support they require from their employer. Infusing AI and automation into every process frees up employees to focus on what is important to them as individuals.

Cost-Benefit 97

Cost-Benefit Interactive Modeling Data-driven 97

CIO Business Intelligence

OCTOBER 24, 2023

The capabilities of these new generative AI tools, most of which are powered by large language models (LLM), forced every company and employee to rethink how they work. First, there’s the internal demand to understand how your organization is going to adopt these new tools and what you need to do to avoid falling behind your competitors.

Cost-Benefit 126

Cost-Benefit Modeling Data Quality Statistics 126

Cloudera

FEBRUARY 11, 2022

However, to understand what Ethical AI is, we need to have at least a basic understanding of ML, ML models and the data science lifecycle and how they are related. This blog post hopes to provide this foundational understanding. What is Machine Learning. Instead, they are learned by training a model on data.

Machine Learning 92

Machine Learning Sales Data Science Modeling 92

IBM Big Data Hub

DECEMBER 16, 2022

Over the last week, millions of people around the world have interacted with OpenAI’s ChatGPT, which represents a significant advance for generative artificial intelligence (AI) and the foundation models that underpin many of these use cases. It’s a fitting way to end what has been another big year for the industry.

Uncertainty 118

Uncertainty Metadata Modeling Data Collection 118