CIO Business Intelligence

APRIL 25, 2023

A transformer is a type of AI deep learning model that was first introduced by Google in a research paper in 2017. Five years later, transformer architecture has evolved to create powerful models such as ChatGPT. Meanwhile, however, many other labs have been developing their own generative AI models.

Experimentation 107

Experimentation Enterprise Deep Learning Modeling 107

CIO Business Intelligence

MAY 20, 2022

News & World Report ranks the best AI graduate programs at computer science schools based on surveys sent to academic officials in fall 2021 and early 2022. The AI program focuses on the principles and technologies that underlie AI, including logic, knowledge representation, probabilistic models, and machine learning.

Machine Learning 144

Machine Learning Statistics Recreation/Entertainment Data Science 144

CIO Business Intelligence

JANUARY 23, 2023

As OpenAI’s exclusive cloud provider it will see additional revenue for its Azure services, as one of OpenAI’s biggest costs is providing the computing capacity to train and run its AI models. The deal, announced by OpenAI and Microsoft on Jan. To its credit, it regularly and repeatedly reminds users of these limitations.

Enterprise 131

Enterprise Deep Learning Recreation/Entertainment Interactive 131

CIO Business Intelligence

JANUARY 26, 2024

The AI program focuses on the principles and technologies that underlie AI, including logic, knowledge representation, probabilistic models, and machine learning. Stanford offers both PhDs and an MSCS with an AI specialization.

Machine Learning 101

Machine Learning Statistics Recreation/Entertainment Data Science 101

Cloudera

NOVEMBER 25, 2021

In a February 2021 report by IDC, they estimate that world-wide revenues from AI will grow by 16.4% in 2021 to USD $327 billion. With the introduction of ML and Deep Learning (DL), it is now possible to build AI systems that have no ethical considerations at all. We consider three examples below: Robo-Firing.

Insurance 92

Insurance Machine Learning Deep Learning Reporting 92

IBM Big Data Hub

JULY 11, 2023

According to Statista , the artificial intelligence (AI) healthcare market, valued at $11 billion in 2021, is projected to be worth $187 billion in 2030. One use case example is out of the University of Hawaii, where a research team found that deploying deep learning AI technology can improve breast cancer risk prediction.

Deep Learning 57

Deep Learning Cost-Benefit Insurance Machine Learning 57

CIO Business Intelligence

MAY 1, 2024

ChatGPT e le hallucination sui casi giudiziari I progressi compiuti nel 2023 dai large language models (LLM) hanno suscitato un interesse diffuso per il potenziale di trasformazione dell’IA generativa in quasi tutti i settori. “Anche quando è la tecnologia ad automatizzare la discriminazione, la responsabilità ricade sul datore di lavoro”.

Software 69

Software Deep Learning Machine Learning Modeling 69

Smart Data Collective

MARCH 27, 2023

billion on AI in 2021 , but small businesses may spend even more on AI-driven financial management software. They have also started integrated computer vision and deep learning technology to identify inefficiencies. More companies will need to use AI-driven software to improve their financial services models.

Software 89

Software Finance Cost-Benefit Data-driven 89

Cloudera

SEPTEMBER 20, 2022

The state of the art in AI systems for artistic tasks almost universally use deep-learning models, which presuppose a significant amount of compute resources both to create them, and once created to continue to use them for producing images. The content of these data sets may introduce problematic bias into a model’s results.

Deep Learning 84

Deep Learning Cost-Benefit Risk Data-driven 84

Domino Data Lab

APRIL 29, 2021

Deep learning enthusiasts are increasingly putting NVIDIA’s GTC at the top of their gotta-be-there conference list. Three of them were particularly compelling and inspired a new point of view on transfer learning that I feel is important for analytical practitioners and leaders to understand. Deep Learning Trends from GTC21.

Data Science 134

Data Science Deep Learning Modeling Forecasting 134

DataKitchen

APRIL 13, 2021

Download the 2021 DataOps Vendor Landscape here. DataOps is a hot topic in 2021. DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. ModelOp — Governs, monitors, and orchestrates models across the enterprise.

Testing 307

Testing Machine Learning Consulting Data Quality 307

Cloudera

NOVEMBER 15, 2021

Cisco estimates that global IP data traffic has grown 3-fold between 2016 and 2021, reaching 3.3 In other words, structured data has a pre-defined data model , whereas unstructured data doesn’t. . It facilitates AI because, to be useful, many AI models require large amounts of data for training. And data moves around.

Unstructured Data 85

Unstructured Data Recreation/Entertainment Structured Data Reporting 85

CIO Business Intelligence

MARCH 30, 2022

Even when customers have tuned their rules for years with fraud analysts who know the space, we come in with machine learning models and beat them,” says Baumhof. Current machine learning systems can make decisions as fast as traditional rules-based systems. But you can run them in parallel and get the best of both worlds.”.

Machine Learning 144

Machine Learning Risk Testing Data-driven 144

IBM Big Data Hub

AUGUST 1, 2023

True to their name, generative AI models generate text, images, code , or other responses based on a user’s prompt. But what makes the generative functionality of these models—and, ultimately, their benefits to the organization—possible? That’s where the foundation model enters the picture.

Modeling 58

Modeling Cost-Benefit Data Lake Machine Learning 58

O'Reilly on Data

MARCH 18, 2020

Supervised learning is the most popular ML technique among mature AI adopters, while deep learning is the most popular technique among organizations that are still evaluating AI. The logic in this case partakes of garbage-in, garbage out : data scientists and ML engineers need quality data to train their models.

Enterprise 311

Enterprise Deep Learning Data Governance Risk 311

DataRobot Blog

FEBRUARY 2, 2023

Large language models, also known as foundation models, have gained significant traction in the field of machine learning. These models are pre-trained on large datasets, which allows them to perform well on a variety of tasks without requiring as much training data. What Are Large Language Models?

Modeling 52

Modeling Machine Learning Data Processing Interactive 52

CIO Business Intelligence

APRIL 15, 2022

Derek Driggs, a machine learning researcher at the University of Cambridge, together with his colleagues, published a paper in Nature Machine Intelligence that explored the use of deep learning models for diagnosing the virus. The algorithm learned to identify children, not high-risk patients.

Analytics 143

Analytics Machine Learning Insurance Testing 143

DataRobot Blog

MARCH 9, 2022

The company was acquired by DataRobot in 2021. With that said, recent advances in deep learning methods have allowed models to improve to a point that is quickly approaching human precision on this difficult task. This article was originally published at Algorithimia’s website. Find out more about DataRobot MLOps here.

Machine Learning 52

Machine Learning Deep Learning Modeling Measurement 52

CIO Business Intelligence

MARCH 22, 2023

Enter the new class ML data scientists require large quantities of data to train machine learning models. Then the trained models become consumers of vast amounts of data to gain insights to inform business decisions. In the training phase, the primary objective is to use existing examples to train a model.

Machine Learning 101

Machine Learning Cost-Benefit Modeling Risk 101

Domino Data Lab

AUGUST 1, 2021

In this article we cover explainability for black-box models and show how to use different methods from the Skater framework to provide insights into the inner workings of a simple credit scoring neural network model. The interest in interpretation of machine learning has been rapidly accelerating in the last decade.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

O'Reilly on Data

JANUARY 25, 2021

Models are neither code nor data, and we don’t have adequate tools for versioning models either (though tools like MLflow are a start). Frequent deployment assumes that the software can be built relatively quickly, but training a model can take days. We don’t yet have adequate tools for versioning data (though DVC is a start).

Machine Learning 363

Machine Learning Software Testing Technology 363

Smart Data Collective

MAY 19, 2021

A Look at Clean Energy in 2021. Which Jobs and Sectors Will Thrive Through 2021? We will appraise the rise of clean energy in further detail below, while asking what the future holds for this lucrative and fascinating space. We will also help understand the ways that big data technology is shaping the industry.

Data Analytics 90

Data Analytics Analytics Big Data Predictive Analytics 90