IBM Big Data Hub

APRIL 9, 2024

Preparing and annotating data IBM watsonx.data helps organizations put their data to work, curating and preparing data for use in AI models and applications. ” Watsonx.data uses machine learning (ML) applications to simulate data that represents ball positioning projections. ” Watsonx.ai ” Watsonx.ai

Management 87

Management IT Machine Learning Metrics 87

IBM Big Data Hub

APRIL 19, 2024

This blog series discusses the complex tasks energy utility companies face as they shift to holistic grid asset management to manage through the energy transition. This approach provides actual real data points for ESG reporting instead of model-based assumptions, which helps reduce carbon footprint and achieve sustainability goals.

Management 94

Management Internet of Things Risk IoT 94

Cloudera

NOVEMBER 29, 2023

In the dynamic world of machine learning operations (MLOps), staying ahead of the curve is essential. 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.

Modeling 82

Modeling Machine Learning Metadata Metrics 82

O'Reilly on Data

MARCH 26, 2024

TL;DR LLMs and other GenAI models can reproduce significant chunks of training data. He first tried to do so by becoming Cervantes, learning Spanish, and forgetting all the history since Cervantes wrote Don Quixote , among other things, but then decided it would make more sense to (re)write the text as Menard himself.

Modeling 277

Modeling Machine Learning Risk Advertising 277

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 78

Cost-Benefit Machine Learning Enterprise Modeling 78

CIO Business Intelligence

SEPTEMBER 29, 2023

These skills include expertise in areas such as text preprocessing, tokenization, topic modeling, stop word removal, text classification, keyword extraction, speech tagging, sentiment analysis, text generation, emotion analysis, language modeling, and much more.

Deep Learning 143

Deep Learning Machine Learning Modeling Consulting 143

Cloudera

NOVEMBER 1, 2023

And so we are thrilled to introduce our latest applied ML prototype (AMP) — a large language model (LLM) chatbot customized with website data using Meta’s Llama2 LLM and Pinecone’s vector database. The post Harness the Power of Pinecone with Cloudera’s New Applied Machine Learning Prototype appeared first on Cloudera Blog.

Machine Learning 104

Machine Learning Optimization Modeling Interactive 104

DataKitchen

MARCH 11, 2021

DataKitchen Blog: Why Are There So Many *Ops Terms? Gartner: “ XOps practices link development, deployment and maintenance together to create a shared understanding of requirements, transfer of skills and processes for monitoring and maintaining analytics and AI artifacts (see Figure 2).”. See Figure 1. Opportunity. Implementation.

Analytics 130

Analytics Machine Learning Modeling Reporting 130

DataKitchen

JANUARY 2, 2021

ModelOps is “ at the core of an organization’s AI strategy ” and is “ focused on operationalizing AI models, including the full life cycle management of AI decision models and AI governance.” Blog: Deliver AI and ML Models at Scale with ModelOps. Blog: Improving Teamwork in Data Analytics with DataOps.

Testing 130

Testing Machine Learning Reporting Modeling 130

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. Personalization.

Forecasting 93

Forecasting Optimization Advertising IoT 93

Rocket-Powered Data Science

JULY 19, 2023

The ease with which such structured data can be stored, understood, indexed, searched, accessed, and incorporated into business models could explain this high percentage. One could say that sentinel analytics is more like unsupervised machine learning, while precursor analytics is more like supervised machine learning.

Data-driven 186

Data-driven Enterprise Analytics Machine Learning 186

CIO Business Intelligence

OCTOBER 13, 2023

Responsibilities include building predictive modeling solutions that address both client and business needs, implementing analytical models alongside other relevant teams, and helping the organization make the transition from traditional software to AI infused software.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

Cloudera

NOVEMBER 19, 2021

We are excited by the endless possibilities of machine learning (ML). We recognise that experimentation is an important component of any enterprise machine learning practice. Organizations need to usher their ML models out of the lab (i.e., COPML accounts for the fact that true production machine learning (i.e.,

Machine Learning 119

Machine Learning Modeling Experimentation IT 119

DataRobot Blog

MARCH 8, 2023

Today, SAP and DataRobot announced a joint partnership to enable customers connect core SAP software, containing mission-critical business data, with the advanced Machine Learning capabilities of DataRobot to make more intelligent business predictions with advanced analytics. Tune in to learn more.

Enterprise 105

Enterprise Experimentation Machine Learning Modeling 105

DataRobot

NOVEMBER 16, 2021

Many organizations, including state and local governments, are dipping their toes into machine learning (ML) and artificial intelligence (AI). As we’ve discussed in this blog series, some are already reaping the rewards of AI through increased productivity, cost savings, etc. Issues with Deployment. What is MLOps?

Cost-Benefit 98

Cost-Benefit Machine Learning Modeling Risk 98

DataKitchen

OCTOBER 28, 2021

Machine learning (ML) models are computer programs that draw inferences from data — usually lots of data. One way to think of ML models is that they instantiate an algorithm (a decision-making procedure often involving math) in software and then, at relatively low cost, deploy it on a large scale. What Is AI Bias?

Testing 130

Testing IT Manufacturing Metrics 130

Cloudera

APRIL 9, 2021

This is part 4 in this blog series. This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The second blog dealt with creating and managing Data Enrichment pipelines. Here are the key stages: .

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

IBM Big Data Hub

NOVEMBER 29, 2023

With the emergence of new advances and applications in machine learning models and artificial intelligence, including generative AI, generative adversarial networks, computer vision and transformers, many businesses are seeking to address their most pressing real-world data challenges using both types of synthetic data: structured and unstructured.

Metrics 88

Metrics Machine Learning Risk Statistics 88

CIO Business Intelligence

MARCH 19, 2024

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. Where the machine hands off to the human Now read each one. The machine performed the magic: the real prestige, or trick reveal, lies ahead.

Marketing 108

Marketing Software Interactive Enterprise 108

Domino Data Lab

AUGUST 6, 2021

In the world of machine learning (ML) and artificial intelligence (AI), governance is a lifelong pursuit. All models require testing and auditing throughout their deployment and, because models are continually learning, there is always an element of risk that they will drift from their original standards.

Machine Learning 145

Machine Learning Modeling Testing Risk 145

IBM Big Data Hub

APRIL 18, 2024

Imagine a world where machines aren’t confined to pre-programmed tasks but operate with human-like autonomy and competence. AGI, sometimes referred to as strong AI , is the science-fiction version of artificial intelligence (AI), where artificial machine intelligence achieves human-level learning, perception and cognitive flexibility.

Cost-Benefit 90

Cost-Benefit Modeling Manufacturing Interactive 90

CIO Business Intelligence

FEBRUARY 14, 2023

To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making. It’s clear how these real-time data sources generate data streams that need new data and ML models for accurate decisions.

Data Strategy 116

Data Strategy Strategy Machine Learning Data-driven 116

Cloudera

NOVEMBER 17, 2020

One of the many areas where machine learning has made a large difference for enterprise business is in the ability to make accurate predictions in the realm of fraud detection. A well-tuned, accurate model can predict which are the false positives and reduce the follow-up costs and improve customer confidence dramatically.

Deep Learning 109

Deep Learning Machine Learning Modeling Reporting 109

Cloudera

FEBRUARY 11, 2022

Advances in the development and application of Machine Learning (ML) and Deep Learning (DL) algorithms, require greater care to ensure that the ethics embedded in previous rule-based systems are not lost. This blog post hopes to provide this foundational understanding. What is Machine Learning.

Machine Learning 92

Machine Learning Sales Data Science Modeling 92

Dataiku

MARCH 25, 2024

But instead, a machine seamlessly identifies the scene and its location, provides a detailed description, and even suggests nearby attractions. 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.

Visualization 132

Visualization Modeling Experimentation Testing 132

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

IBM Big Data Hub

MARCH 21, 2024

In this blog, we’ll explore seven key strategies to optimize infrastructure for AI workloads, empowering organizations to harness the full potential of AI technologies. High-performance computing systems Investing in high-performance computing systems tailored for AI accelerates model training and inference tasks.

Optimization 68

Optimization Software Data-driven Consulting 68

CIO Business Intelligence

MAY 6, 2022

Google Cloud Platform (GCP) is set to release two new solutions targeted at the manufacturing sector and aiming to ease data engineering and analytics tasks, unifying data from diverse machine assets to offer business insights to factory managers. Edge-cloud connection helps data extraction.

Manufacturing 140

Manufacturing Analytics Machine Learning IoT 140

IBM Big Data Hub

DECEMBER 14, 2023

Another year has passed—it felt like the whole world was talking about and trying out tools powered by generative AI and Large Language Models (LLMs). This year, IBM Cloud introduced projects and deployable architectures. The blog post “ How to use VPN with a VPC hub-and-spoke architecture ” describes the project.

Experimentation 73

Experimentation Testing Software Management 73

IBM Big Data Hub

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. What is MLOps?

Data Science 58

Data Science Machine Learning Cost-Benefit Deep Learning 58

Cloudera

JULY 27, 2021

Here in the virtual Fast Forward Lab at Cloudera , we do a lot of experimentation to support our applied machine learning research, and Cloudera Machine Learning product development. We believe the best way to learn what a technology is capable of is to build things with it.

Data Science 111

Data Science Enterprise Experimentation Machine Learning 111

IBM Big Data Hub

DECEMBER 20, 2023

By giving machines the growing capacity to learn, reason and make decisions, AI is impacting nearly every industry, from manufacturing to hospitality, healthcare and academia. Ethical considerations such as bias, transparency and regulatory concerns should also be addressed to support responsible deployment.

Strategy 79

Strategy Business Objectives Cost-Benefit Consulting 79

Data Science 101

JANUARY 22, 2020

Those blog posts were for the old exam which focused on the legacy Azure Machine Learning Studio interface and general data science knowledge. Azure Machine Learning Names. The names are similar and a bit confusing, but Microsoft is putting a lot less focus on the older Machine Learning Studio.

Data Science 115

Data Science Machine Learning Modeling Optimization 115

IBM Big Data Hub

DECEMBER 15, 2023

When AI algorithms, pre-trained models, and data sets are available for public use and experimentation, creative AI applications emerge as a community of volunteer enthusiasts builds upon existing work and accelerates the development of practical AI solutions.

Deep Learning 72

Deep Learning Experimentation Machine Learning Risk 72

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

Insight

AUGUST 16, 2019

see below for the top 10 blog posts/resources! 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. 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

AWS Big Data

AUGUST 7, 2023

Amazon Redshift ML makes it easy for data analysts and database developers to create, train, and apply machine learning (ML) models using familiar SQL commands in Amazon Redshift. With Redshift ML, you can take advantage of Amazon SageMaker , a fully managed ML service, without learning new tools or languages.

Forecasting 84

Forecasting Data Warehouse Machine Learning Modeling 84