Smarten

OCTOBER 18, 2023

If you are in the business of technology, you may be wondering how, if at all, you can incorporate OpenAI, Generative Pretrained Transformer (GPT) and artificial intelligence (AI) into your services and solutions. Recent research reveals that deep learning model training resources have doubled every 3.4

Consulting 52

Consulting Digital Transformation Software Deep Learning 52

Smart Data Collective

APRIL 25, 2022

Throughout this article it will be discussed in more detail how different departments in your company can benefit from using artificial intelligence to manage their online profile. What Impact Can Artificial Intelligence have on Your Businesses Online Profile? This is key when it comes to attracting new customers.

Management 135

Management Machine Learning Marketing Deep Learning 135

CIO Business Intelligence

APRIL 24, 2023

How we got here The most notable enabling technologies in generative AI are deep learning, embeddings, transfer learning (all of which emerged in the early to mid-2000s), and neural net transformers (invented in 2017). Deep learning emerged in academia in the early 2000s, with broader industry adoption starting around 2010.

Enterprise 52

Enterprise Deep Learning Modeling Machine Learning 52

CIO Business Intelligence

MARCH 18, 2024

The true promise of LLMs Leveraging deep learning and enormous data sets to analyze, understand, predict, summarize, and generate natural human language, LLMs bridge the gap between the latest AI and the bargain bin. Chris Fussell’s colleague Will Smith also contributed to this article.

Broadcasting 72

Broadcasting Deep Learning Risk Strategy 72

CIO Business Intelligence

JUNE 2, 2022

“To ensure the generality and robustness of the evaluation, [the University of Cambridge researchers] utilized thousands of ML problems from three scientific domains: drug design, predicting gene expression, and ML algorithm selection,” according to an article in Drug Target Review. Just starting out with analytics?

Machine Learning 142

Machine Learning Deep Learning Data Quality Strategy 142

Smarten

JUNE 14, 2023

In this article, we will discuss GPT, its roots and its limitations, in order to provide insight into where this technology is today and how it can be used now to inform and support apps, software products and technology services. GPT, or Generative Pre-Trained Transformer, is a Large Language Model (LLM).

Optimization 52

Optimization IT Digital Transformation Consulting 52

TDAN

JUNE 2, 2020

With multiple technologies involved, even deep learning algorithms can’t do the trick. The domain of AI and data science so far has created significant value in the technological landscape. However, the path to reaching success isn’t easy and quick.

Data Science 52

Data Science Deep Learning Technology Business Intelligence 52

FineReport

DECEMBER 19, 2019

If you want to learn more about self-service BI tools, you can take a look at this review: 5 Most Popular Business Intelligence (BI) Tools in 2019 , to understand your own needs and then choose the tool that is right for you. What Data Analysis Tools Should I Learn to Start a Career as a Data Analyst? From Google.

Knowledge Discovery 98

Knowledge Discovery Visualization Experimentation Reporting 98

FineReport

OCTOBER 21, 2019

With business intelligence(BI) tools play a more critical role in the enterprises, the technology is poised for an oversized effect in the coming year. BI software assists businesses with data display and analytics to help companies discover the situations, market challenges, as well as the chance. From Google. Pro: Fast speed.

Visualization 91

Visualization Cost-Benefit Dashboards Software 91

Smart Data Collective

SEPTEMBER 9, 2019

Artificial intelligence is upending the financial management industry in spectacular ways. The majority of machine learning and deep learning solutions have focused on fundamental analysis of securities. Will deep learning and AI finally make technical analysis a mainstream financial management strategy?

Deep Learning 67

Deep Learning Forecasting Machine Learning Strategy 67

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

Domino Data Lab

JULY 22, 2019

But the business logic kept getting more and more progressively rolled back into the middle layer, also called application servers, web servers, later being called middleware. Along with your database servers, you had, data warehousing and business intelligence. We have an article on this on Domino. Then things changed.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. ” BTW, that Knuth article from 1983 was probably the first time that I ever saw the word “Web” used as a computer-related meaning. Introduction. BTW, videos for Rev2 are up: [link]. Software writes Software?

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

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 paper determined the technique not fit for clinical use.

Analytics 145

Analytics Machine Learning Insurance Testing 145

O'Reilly on Data

MAY 21, 2019

Here are some typical ways organizations begin using machine learning: Build upon existing analytics use cases: e.g., one can use existing data sources for business intelligence and analytics, and use them in an ML application. A typical data pipeline for machine learning. Use ML to unlock new data types—e.g.,

Machine Learning 238

Machine Learning Technology Deep Learning Data Science 238

CIO Business Intelligence

APRIL 27, 2022

In a previous article I introduced a framework called the HPE Digital Journey Map (DJM) precisely to guide our customers as they explore the “why.” The DJM provides a reference point to examine four key business-driven agendas associated with how to navigate a data-first modernization.

Strategy 143

Strategy Data-driven Internet of Things Measurement 143