O'Reilly on Data

SEPTEMBER 15, 2021

The results gave us insight into what our subscribers are paid, where they’re located, what industries they work for, what their concerns are, and what sorts of career development opportunities they’re pursuing. The results then provide a place to start thinking about what effect the pandemic had on employment.

Machine Learning 363

Machine Learning Statistics Reporting Consulting 363

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

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

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. What could be faster and easier than on-prem enterprise data sources? A similarly high percentage of tabular data usage among data scientists was mentioned here.

Data-driven 186

Data-driven Enterprise Analytics Machine Learning 186

Cloudera

MARCH 26, 2024

How do you adapt a foundational model to your specific needs? What about security, privacy, and trust concerns? 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.

Cost-Benefit 78

Cost-Benefit Machine Learning Enterprise Modeling 78

IBM Big Data Hub

DECEMBER 19, 2023

But what is an anomaly and why is detecting it important? Supervised learning Supervised learning techniques use real-world input and output data to detect anomalies. These types of anomaly detection systems require a data analyst to label data points as either normal or abnormal to be used as training data.

Machine Learning 72

Machine Learning Optimization Unstructured Data Sales 72

IBM Big Data Hub

JANUARY 11, 2024

Scarier still, the next generation of talent will be hard to recruit, as newer computer science graduates who learned Java and newer languages won’t naturally picture themselves doing mainframe application development. With a lean set of commands, it shouldn’t be a complicated language for newer developers to learn or understand.

Digital Transformation 109

Digital Transformation Modeling Deep Learning Visualization 109

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

Smart Data Collective

SEPTEMBER 24, 2021

Machine Learning is a branch of Artificial Intelligence that works by giving computers the ability to learn without being explicitly programmed. As technology advances, machine learning will have more opportunities to help businesses engage with their customers and improve the overall customer experience.

Machine Learning 120

Machine Learning Marketing Modeling Sales 120

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 82

Forecasting Data Warehouse Machine Learning Modeling 82

Smarten

APRIL 25, 2024

Whether you are trying to solve a business problem, get to the heart of that problem, find a business opportunity, predict the need for resources, new products or locations or understanding changes in your customer buying behavior, you don’t have time to learn complex tools or take training in analytics.

Data Quality 62

Data Quality Analytics Machine Learning Visualization 62

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

DataKitchen

OCTOBER 28, 2021

What Is AI Bias? 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.

Testing 130

Testing IT Manufacturing Metrics 130

Ontotext

MARCH 15, 2024

Have you ever tried to find out what your medical records say after a doctor’s visit? Moreover, the complexity of medical language and concepts requires QA models to have a deep understanding of context, making it challenging to develop robust systems that can accurately interpret queries and provide relevant answers across languages.

Modeling 59

Modeling Metadata Testing Optimization 59

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

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. No matter how good the audio hardware is, human voices can be drowned out by loud noises, such as a passing train horn.

Technology 93

Technology Machine Learning Optimization Modeling 93

IBM Big Data Hub

FEBRUARY 23, 2024

NLP translates the user’s words into machine actions, enabling machines to understand and respond to customer inquiries accurately. Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. billion by 2030.

Enterprise 106

Enterprise Interactive Data-driven Key Performance Indicator 106

IBM Big Data Hub

FEBRUARY 14, 2024

When thinking of artificial intelligence (AI) use cases, the question might be asked: What won’t AI be able to do? The easy answer is mostly manual labor, although the day might come when much of what is now manual labor will be accomplished by robotic devices controlled by AI. We’re all amazed by what AI can do.

Cost-Benefit 88

Cost-Benefit Insurance Unstructured Data Machine Learning 88

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

SEPTEMBER 19, 2023

The user enters a text prompt describing what the code should do, and the generative AI code development tool automatically creates the code. Generative AI for coding is possible because of recent breakthroughs in large language model (LLM) technologies and natural language processing (NLP). How does generative AI code generation work?

Software 88

Software IT Visualization Deep Learning 88

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

Laminar Security

DECEMBER 13, 2023

Learn in this article how Laminar harnesses AI for data discovery and classification and reduces public cloud data risks. However, the advent of AI and machine learning (ML) has revolutionized this process. In the context of data discovery, ML algorithms can learn from past data exploration experiences to enhance future ones.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

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

DataRobot

AUGUST 25, 2021

In a recent blog, we talked about how, at DataRobot , we organize trust in an AI system into three main categories: trust in the performance in your AI/machine learning model , trust in the operations of your AI system, and trust in the ethics of your modelling workflow, both to design the AI system and to integrate it with your business process.

Metrics 98

Metrics Measurement Machine Learning Data Collection 98

IBM Big Data Hub

OCTOBER 18, 2023

AI has inspired millions of people around the world with ideas about what it can make possible. For that reason, we at IBM recently announced a new commitment to train two million learners in AI in three years, with a focus on underrepresented communities. Change is happening, and fast.

Machine Learning 82

Machine Learning Deep Learning Technology Marketing 82

Data Science 101

JANUARY 22, 2020

I have covered my experience and what topics are on the exam. Those blog posts were for the old exam which focused on the legacy Azure Machine Learning Studio interface and general data science knowledge. Microsoft has posted a new skills document, and they are planning to add new training for DP 100.

Data Science 115

Data Science Machine Learning Modeling Optimization 115

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. What kinds of decisions are necessary to be made in real-time?

Data Strategy 116

Data Strategy Strategy Machine Learning Data-driven 116

IBM Big Data Hub

OCTOBER 16, 2023

Examples of AI bias in the real world show us that when discriminatory data and algorithms are baked into AI models, the models deploy biases at scale and amplify the resulting negative effects. What is bias in artificial intelligence? Bias can also result from how the training data is labeled.

Advertising 76

Advertising Machine Learning Data Architecture Cost-Benefit 76

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

IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. An AI governance framework ensures the ethical, responsible and transparent use of AI and machine learning (ML). Foundation models can use language, vision and more to affect the real world.

Risk 77

Risk Modeling Management Metadata 77

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

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. What if the spacing between blueberries in a muffin is reduced? What if a muffin is well-baked? What if it is an irregular shape? blueberry spacing) is a measure of the model’s interpretability.

Machine Learning 81

Machine Learning Modeling Metadata Recreation/Entertainment 81

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. What is an AI strategy? Artificial intelligence (AI) is a transformative force. A successful AI strategy should act as a roadmap for this plan.

Strategy 79

Strategy Business Objectives Cost-Benefit Consulting 79

IBM Big Data Hub

JUNE 26, 2023

Imagine the possibilities of providing text-based queries and opening a world of knowledge for improved learning and productivity. It’s like having a conversation with a very smart machine. What is generative AI? With generative AI , search becomes dramatically different. by 2032 with a 27.02% CAGR between 2023 and 2032.

Risk 71

Risk Deep Learning Modeling Metadata 71

DataRobot Blog

JANUARY 17, 2023

Recently, a prospective customer asked me how I reconcile the fact that DataRobot has multiple very successful investment banks using DataRobot to enhance the P&L of their trading businesses with my comments that machine learning models aren’t always great at predicting financial asset prices.

Machine Learning 87

Machine Learning Marketing Experimentation Modeling 87

Data Science 101

NOVEMBER 29, 2019

Luckily, Amazon has come through with a flurry of machine learning announcements. Amazon Athena and Aurora add support for ML in SQL Queries You can now invoke Machine Learning models right from your SQL Queries. Now the AutoML will provide details on all model run iterations. We will have to wait and see.

Data Science 115

Data Science Deep Learning Machine Learning Modeling 115

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