O'Reilly on Data

FEBRUARY 4, 2019

In practice this means developing a coherent strategy for integrating artificial intelligence (AI), big data, and cloud components, and specifically investing in foundational technologies needed to sustain the sensible use of data, analytics, and machine learning. Machine Learning model lifecycle management. Deep Learning.

Machine Learning 277

Machine Learning Enterprise IoT Big Data 277

IBM Big Data Hub

MARCH 27, 2024

This article explores an innovative way to streamline the estimation of Scope 3 GHG emissions leveraging AI and Large Language Models (LLMs) to help categorize financial transaction data to align with spend-based emissions factors. more emissions than their operational emissions.

Experimentation 74

Experimentation Modeling Deep Learning Data-driven 74

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 this article we explore what Ethical AI is, why it is important, highlight important cases in the news and look at why it is such a challenging problem to solve. in 2021 to USD $327 billion. What is Ethical AI.

Insurance 102

Insurance Machine Learning Deep Learning Reporting 102

Smart Data Collective

MARCH 16, 2022

Last year, in an article that talked about the impact big data has on finance, we said that location data sets can make investing easier. In the article that we wrote last year, we talked about how data especially location data can be used in market management. However, deep-learning approaches are comprehensive in theory.

Big Data 103

Big Data Deep Learning Finance Data-driven 103

O'Reilly on Data

JULY 28, 2020

In this article, we turn our attention to the process itself: how do you bring a product to market? Products based on deep learning can be difficult (or even impossible) to develop; it’s a classic “high return versus high risk” situation, in which it is inherently difficult to calculate return on investment.

Marketing 362

Marketing Experimentation Metrics Testing 362

Smart Data Collective

FEBRUARY 26, 2023

In this article, we take a look at what the AI software development landscape looks like in 2023. In October, Gaurav Tewari of the Forbes Business Council reported that AI breakthroughs have had a monumental impact on modern business and consumer life. Programming salaries routinely rank among the top 10-15% in the United States.

Software 98

Software Internet of Things IoT Deep Learning 98

Laminar Security

DECEMBER 13, 2023

Close to 70% of respondents in an ISC report indicated that they believe their organization lacks requisite cybersecurity staff to handle cloud data risk effectively. Learn in this article how Laminar harnesses AI for data discovery and classification and reduces public cloud data risks.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

IBM Big Data Hub

JUNE 26, 2023

Possibilities are growing that include assisting in writing articles, essays or emails; accessing summarized research; generating and brainstorming ideas; dynamic search with personalized recommendations for retail and travel; and explaining complicated topics for education and training. in 2022 and it is expected to be hit around USD 118.06

Risk 64

Risk Deep Learning Metadata Modeling 64

O'Reilly on Data

AUGUST 18, 2020

That is, products that are laser-focused on one aspect of the data science and machine learning workflows, in contrast to all-in-one platforms that attempt to solve the entire space of data workflows. The Two Cultures of Data Tooling.

Data Science 355

Data Science Machine Learning Data Warehouse Deep Learning 355

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

Occam's Razor

MARCH 30, 2017

People tend to use these phrases almost interchangeably: Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning. Deep Learning is a specific ML technique. Most Deep Learning methods involve artificial neural networks, modeling how our bran works. They send out reports and dashboards.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

Cloudera

NOVEMBER 16, 2017

GPU acceleration for deep learning on demand. With usage monitoring and reporting, customers can track user adoption, rationalize licenses, plan resource capacity, view resource usage patterns, and debug resources. For more detail on user monitoring, read this article on the Cloudera Engineering Blog. On-demand compute.

Data Science 40

Data Science Deep Learning Big Data Software 40

Smart Data Collective

MARCH 27, 2023

Forbes author Rob Shevlin reports that chatbots will actually make bank branches obsolete. They have also started integrated computer vision and deep learning technology to identify inefficiencies. In this article, we look at the importance of financial software and discuss how you can use it to secure better business outcomes.

Software 87

Software Finance Cost-Benefit Data-driven 87

Domino Data Lab

APRIL 7, 2019

Extracting accurate information from free text is a must if you are building a chatbot, searching through a patent database, matching patients to clinical trials, grading customer service or sales calls, extracting facts from financial reports or solving for any of these 44 use cases across 17 industries. Functionality comparison cheat sheet.

Deep Learning 110

Deep Learning Machine Learning Experimentation Modeling 110

FineReport

DECEMBER 19, 2019

For the super rookie, the learning cost and threshold are relatively low, and it is easy to get started. Taking FineReport as an example, it is a BI reporting tool that can connect to various data sources, quickly analyze the data, and make various reports and cool dashboards. It can produce a variety of complex reports.

Knowledge Discovery 98

Knowledge Discovery Visualization Experimentation Reporting 98

IBM Big Data Hub

MAY 17, 2024

According to a recent report from the IBM Institute for Business Value , half of CEOs are integrating generative AI into products and services. A report from the IBM Institute of Business Value found that there’s enormous room for improvement in the customer experience.

B2B 65

B2B Interactive Optimization Forecasting 65

Smart Data Collective

MAY 8, 2022

Brands are closely working to solve this as they dive deep into the world of big data analytics. Well, don’t go anywhere because, in this article, we will show you how you can use big data analytics combined with AI to achieve the best performance possible. What is the relationship between big data analytics and AI?

Big Data 104

Big Data Data Analytics Analytics Cost-Benefit 104

Cloudera

FEBRUARY 16, 2022

In this article, we explore model governance, a function of ML Operations (MLOps). We will learn what it is, why it is important and how Cloudera Machine Learning (CML) is helping organisations tackle this challenge as part of the broader objective of achieving Ethical AI. Machine Learning Model Interpretability.

Machine Learning 88

Machine Learning Modeling Metadata Recreation/Entertainment 88

Domino Data Lab

JULY 28, 2021

In this article, we will provide an overview of the three overlapping components of data science, the importance of communication and collaboration, and how the Domino Data Lab MLOps platform can help improve the speed and efficiency of your team. After cleaning, the data is now ready for processing.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

FineReport

OCTOBER 21, 2019

In this article, I compared the top 5 BI tools of 2019 based on the overall ease-of-use, BI features, and the price. Tableau lacks functionality required for a comprehensive business intelligence tool, such as large-scale reporting, the building of data tables, and static layouts. Pro: Easy to make complex reports. From Google.

Visualization 91

Visualization Cost-Benefit Dashboards Software 91

IBM Big Data Hub

FEBRUARY 13, 2024

Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.” The result will be unusable if a user prompts the model to write a factual news article.

Enterprise 118

Enterprise Modeling Testing Data-driven 118

IBM Big Data Hub

APRIL 18, 2024

Nearly all respondents reported promising early results from gen AI experiments and planned to increase their spending in 2024 to support production workloads. Here are some areas where organizations are seeing a ROI: Text (83%) : Gen AI assists with automating tasks like report writing, document summarization and marketing copy generation.

Cost-Benefit 90

Cost-Benefit Modeling Manufacturing Interactive 90

O'Reilly on Data

DECEMBER 12, 2019

This article is meant to be a short, relatively technical primer on what model debugging is, what you should know about it, and the basics of how to debug models in practice. The study of security in ML is a growing field—and a growing problem, as we documented in a recent Future of Privacy Forum report. [8]. Residual analysis.

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

Sisense

APRIL 15, 2021

Augmented analytics (according to Gartner, which would know), uses technologies “such as machine learning [ML] and AI to assist with data preparation, insight generation, and insight explanation to augment how people explore and analyze data in analytics and BI platforms.”

Analytics 98

Analytics Data Science Modeling Machine Learning 98

Smart Data Collective

SEPTEMBER 9, 2019

The majority of machine learning and deep learning solutions have focused on fundamental analysis of securities. However, deep learning and other artificial intelligence technologies will also change the future of technical analysis as well. New developments in deep learning with technical analysis.

Deep Learning 65

Deep Learning Forecasting Machine Learning Strategy 65

Insight

AUGUST 17, 2020

We’re happy to report that we successfully adapted what we’ve learned during that time to all 7 of our programs across all locations. This summer, Fellows reported that they enjoyed the ease of meeting with other Fellows and Insight staff members every day without the wasted time of having to commute.

Data Science 63

Data Science Data Processing Cost-Benefit Strategy 63

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

Rocket-Powered Data Science

MAY 21, 2024

And also in the past, it was sufficient for AI to be relegated to academic researchers or R&D departments of big organizations who mostly produced research reports or journal papers, and not much else. See additional references and resources at the end of this article. Here are a few more details on some of those announcements.

Cost-Benefit 239

Cost-Benefit Unstructured Data Enterprise Technology 239

Domino Data Lab

JULY 22, 2019

Greg Linden ‘s article about splitting the website on Amazon. and drop your deep learning model resource footprint by 5-6 orders of magnitude and run it on devices that don’t even have batteries. We have an article on this on Domino. By that point, they had all reached the same conclusion. You know what?

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Smarten

APRIL 19, 2024

In this article, we will discuss the current state of AI in analytics, as well as the future of this burgeoning industry and how it can be applied to analytics to simplify and clarify results and to make analytics easier for businesses and business users to leverage.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

CIO Business Intelligence

APRIL 15, 2022

According to CIO’s State of the CIO 2022 report, 35% of IT leaders say that data and business analytics will drive the most IT investment at their organization this year. And 20% of IT leaders say machine learning/artificial intelligence will drive the most IT investment. But like oil, data and analytics have their dark side.

Analytics 145

Analytics Machine Learning Insurance Testing 145

IBM Big Data Hub

JANUARY 10, 2024

In this article, we’ll discuss how AI technology functions and lay out the advantages and disadvantages of artificial intelligence as they compare to traditional computing methods. The category of AI algorithms includes ML algorithms, which learn and make predictions and decisions without explicit programming.

Unstructured Data 76

Unstructured Data Deep Learning Cost-Benefit Machine Learning 76

IBM Big Data Hub

SEPTEMBER 27, 2023

Large language models (LLMs) are foundation models that use artificial intelligence (AI), deep learning and massive data sets, including websites, articles and books, to generate text, translate between languages and write many types of content.

Risk 92

Risk Modeling Cost-Benefit Enterprise 92

Domino Data Lab

MARCH 3, 2019

We had big surprises at several turns and have subsequently published a series of reports. Let’s look through some of the insights gained from those reports. Seriously, this entire article merely skims the surface of those reports. Ben and I also wrote articles for each of the surveys, summarizing the highlights.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Smart Data Collective

FEBRUARY 24, 2021

But the student in question was still able to create multiple articles for his master’s degree in business using the software. Using Machine Learning to Improve your Writing. IEEE reported that an AI bot was able to create poetry that sounded like Shakespeare writing. On close inspection, it seemed nonsensical.

Machine Learning 91

Machine Learning Deep Learning Strategy Reporting 91

BizAcuity

MARCH 31, 2022

There have been so many articles published about AI and its applications, you can find millions of articles from broad concepts to deep technical literature on the internet. This article (like thousands of other articles), is aimed at presenting consolidated information about AI for business in simple language.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Occam's Razor

AUGUST 28, 2017

Over the last couple years, I’ve spent an increasing amount of time diving into the possibilities Deep Learning (DL) offers in terms of what we can do with Artificial Intelligence (AI). The first related to pure deep learning and its amazingness, I was familiar with this one. Pretty damn fast. It truly is mind-blowing.

Deep Learning 139

Deep Learning Machine Learning Marketing Strategy 139