Cloudera

OCTOBER 24, 2023

The AI technologies of today—including not just large language models (LLMs) but also deep learning, reinforcement learning, and natural-language processing (NLP) tools—will equip telcos with powerful new automation and analytics capabilities.

Interactive 77

Interactive Data-driven Cost-Benefit Optimization 77

CIO Business Intelligence

SEPTEMBER 19, 2023

Organizations all around the globe are implementing AI in a variety of ways to streamline processes, optimize costs, prevent human error, assist customers, manage IT systems, and alleviate repetitive tasks, among other uses. And with the rise of generative AI, artificial intelligence use cases in the enterprise will only expand.

Enterprise 141

Enterprise Cost-Benefit Optimization Deep Learning 141

IBM Big Data Hub

FEBRUARY 13, 2024

The compact design and touch-based interactivity seemed like a leap into the future. Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.” Remember how cool it felt when you first held a smartphone in your hand?

Enterprise 124

Enterprise Modeling Testing Data-driven 124

Smarten

APRIL 19, 2024

OpenAI – Azure OpenAI as the foundational entity for creating GPT models and is based on Large Language Models (LLM). GPT – Is based on a Large Language Model (LLM). Benefits include customized and optimized models, data, parameters and tuning. Open AI was developed by Microsoft.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

O'Reilly on Data

JULY 28, 2020

If this sounds fanciful, it’s not hard to find AI systems that took inappropriate actions because they optimized a poorly thought-out metric. You must detect when the model has become stale, and retrain it as necessary. The guardrail metric is a check to ensure that an AI doesn’t make a “mistake.”

Marketing 362

Marketing Experimentation Metrics Testing 362

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

by TAMAN NARAYAN & SEN ZHAO A data scientist is often in possession of domain knowledge which she cannot easily apply to the structure of the model. On the one hand, basic statistical models (e.g. On the other hand, sophisticated machine learning models are flexible in their form but not easy to control.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

AWS Big Data

MAY 16, 2024

The need to balance detail and context while maintaining real-time interactivity can lead to issues of scalability and rendering complexity. Because of this, many organizations are utilizing them as a support geography, aggregating their data to these grids to optimize both their storage and analysis.

Data Warehouse 111

Data Warehouse Visualization Cost-Benefit Optimization 111

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

IBM Big Data Hub

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Most experts categorize it as a powerful, but narrow AI model. A key trend is the adoption of multiple models in production.

Cost-Benefit 95

Cost-Benefit Modeling Manufacturing Interactive 95

CIO Business Intelligence

JUNE 7, 2022

Those numbers represent the projected growth of chatbot interactions among banking customers between 2019 to 2023 and the cost savings from 862 hours less of work by support personnel, according to research by Juniper Research. In business, when a trend is forecast to grow by more than 3000% and generate cost savings of $7.3

Unstructured Data 91

Unstructured Data Deep Learning Insurance Interactive 91

O'Reilly on Data

JUNE 18, 2019

There has been a significant increase in our ability to build complex AI models for predictions, classifications, and various analytics tasks, and there’s an abundance of (fairly easy-to-use) tools that allow data scientists and analysts to provision complex models within days. Data integration and cleaning.

Machine Learning 259

Machine Learning Data Quality Statistics Modeling 259

CIO Business Intelligence

APRIL 26, 2022

Ever increasing advances in technology and continuous process optimization techniques have helped ensure that the global supply chain runs efficiently, turning raw materials into products that make their way to physical stores and ecommerce warehouses. Then, only the updated model is sent back to the edge.

Manufacturing 94

Manufacturing Optimization Metrics Deep Learning 94

CIO Business Intelligence

JANUARY 20, 2023

What was once an anomaly is now a global reality as remote and hybrid work models settle in across industries. Understanding VDI As a virtual desktop solution, VDI enables remote workers to interact with an operating system and software the same way they would if working locally—on a network-delivered endpoint device.

Technology 59

Technology Cost-Benefit Deep Learning Modeling 59

Smart Data Collective

MARCH 27, 2023

They have also started integrated computer vision and deep learning technology to identify inefficiencies. Banks and other financial institutions are combining AI with other technologies to transform their business models. More companies will need to use AI-driven software to improve their financial services models.

Software 87

Software Finance Cost-Benefit Data-driven 87

Domino Data Lab

JULY 28, 2021

There are many software packages that allow anyone to build a predictive model, but without expertise in math and statistics, a practitioner runs the risk of creating a faulty, unethical, and even possibly illegal data science application. All models are not made equal. Computer Science Skills.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

IBM Big Data Hub

JULY 17, 2023

Currently chat bots are relying on rule-based systems or traditional machine learning algorithms (or models) to automate tasks and provide predefined responses to customer inquiries. is a studio to train, validate, tune and deploy machine learning (ML) and foundation models for Generative AI. Watsonx.ai

Consulting 57

Consulting Machine Learning Deep Learning Cost-Benefit 57

Domino Data Lab

AUGUST 29, 2019

This article provides an excerpt “Deep Reinforcement Learning” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens. The article includes an overview of reinforcement learning theory with focus on the deep Q-learning. The Optimal Policy. Defining the agent.

Optimization 111

Optimization Modeling Deep Learning Metrics 111

DataRobot

OCTOBER 20, 2021

Individuals interacting with AI systems should possess a baseline data literacy, especially in high-risk use cases that require human collaboration at the final decision-making stage. It is a key component of developing responsible AI, and promotes trust not only in AI concepts but also in individual AI models. What Is Data Literacy?

Machine Learning 52

Machine Learning Metrics Risk Deep Learning 52

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. SQL optimization provides helpful analogies, given how SQL queries get translated into query graphs internally , then the real smarts of a SQL engine work over that graph. Introduction. BTW, videos for Rev2 are up: [link].

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Decision Management Solutions

FEBRUARY 8, 2021

As you’ll see, the development of this amazing, one-of-a-kind vessel led to a conclusion that we at Decision Management Solutions see every day in our client work: It’s never enough to just rely on artificial intelligence (AI)/machine learning (ML) to do all the decision-making.

Machine Learning 93

Machine Learning Testing Deep Learning Optimization 93

IBM Big Data Hub

JULY 6, 2023

While artificial intelligence (AI), machine learning (ML), deep learning and neural networks are related technologies, the terms are often used interchangeably, which frequently leads to confusion about their differences. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other?

Deep Learning 60

Deep Learning Machine Learning Unstructured Data Modeling 60

Domino Data Lab

JULY 28, 2021

In its current form , data science is limitless in terms of industry and application; the only requirement is data, compute power, data scientists, and a desire to become model-driven. Today, data is generated constantly through multiple channels including transactional systems, sensors, cameras, and online interactions.

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

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.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

datapine

AUGUST 14, 2019

Data science tools are used for drilling down into complex data by extracting, processing, and analyzing structured or unstructured data to effectively generate useful information while combining computer science, statistics, predictive analytics, and deep learning. offers many statistics and machine learning abilities.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Jen Stirrup

MAY 5, 2020

You can also use Azure Data Lake storage as well, which is optimized for high-performance analytics. Apache Spark is what’s known as resilient which means that models can be created and recreated on the fly from a known state. The Azure Data Lake Store is an optimized way of storing data, especially for analytics.

Machine Learning 89

Machine Learning Data Science Data Lake Big Data 89

bridgei2i

DECEMBER 15, 2021

With significant adoption among industries as well as personal lives, AI is impacting enterprise transformation at scale, whilst changing the way humans interact with machines. Naturally, the change in consumer behavior prompted media companies to change their business models. Anticipating Demand through Predictive Modelling on OTT.

Recreation/Entertainment 52

Recreation/Entertainment Metadata Advertising Predictive Modeling 52

CIO Business Intelligence

APRIL 4, 2022

The confines of tabular data models and rigid schemas make it difficult to add new or different kinds of connections. If a specific email or login credential is identified in a potentially fraudulent transaction, all future interactions with this email or credential can be subject to additional scrutiny. Real-time Fraud Detection.

Technology 52

Technology Deep Learning Cost-Benefit Data Quality 52

FineReport

DECEMBER 19, 2019

When it comes to data analysis, from database operations, data cleaning, data visualization , to machine learning, batch processing, script writing, model optimization, and deep learning, all these functions can be implemented with Python, and different libraries are provided for you to choose. From Google.

Knowledge Discovery 98

Knowledge Discovery Visualization Experimentation Reporting 98

Cloudera

NOVEMBER 15, 2021

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. Deep Learning, a subset of AI algorithms, typically requires large amounts of human annotated data to be useful.

Unstructured Data 86

Unstructured Data Recreation/Entertainment Structured Data Reporting 86

Domino Data Lab

SEPTEMBER 9, 2019

We have configured the default Compute Environment in Domino to include all of the packages, libraries, models, and data you’ll need for this tutorial. That nlp variable is now your gateway to all things spaCy and loaded with the en_core_web_sm small model for English. Getting Started. get_data(). ?corpus

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110

Smart Data Collective

APRIL 3, 2020

Communications that are 24/7 is not possible with traditional business models. With the help of chatbots, you can interact with your customers even if you are sleeping. A couple of months ago, Hacker Moon wrote a great article on the use of deep learning to create chatbot s. Most people use them for giveaway promotions.

Big Data 93

Big Data Data-driven Data mining Software 93

Insight

APRIL 9, 2019

Machine learning beyond the tech industry Machine learning (ML) has had an incredible impact across industries with numerous applications such as personalized TV recommendations and dynamic price models in your rideshare app. These models are then used to create software that can control the process toward a desired outcome.

Manufacturing 75

Manufacturing Machine Learning Testing Software 75

Domino Data Lab

MAY 8, 2019

Paco Nathan’s latest article features several emerging threads adjacent to model interpretability. I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability. Introduction.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

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 eye-opening learning for me came from the Google Research team’s post on Learning from Large-Scale Interaction.

Deep Learning 139

Deep Learning Machine Learning Marketing Strategy 139

Smart Data Collective

APRIL 3, 2020

Communications that are 24/7 is not possible with traditional business models. With the help of chatbots, you can interact with your customers even if you are sleeping. A couple of months ago, Hacker Moon wrote a great article on the use of deep learning to create chatbot s. Most people use them for giveaway promotions.

Big Data 79

Big Data Data-driven Data mining Software 79

O'Reilly on Data

JUNE 7, 2022

DeepMind’s new model, Gato, has sparked a debate on whether artificial general intelligence (AGI) is nearer–almost at hand–just a matter of scale. Gato is a model that can solve multiple unrelated problems: it can play a large number of different games, label images, chat, operate a robot, and more.

Modeling 363

Modeling Interactive Optimization Deep Learning 363

Domino Data Lab

JULY 9, 2019

Assessing whether a business stakeholder is trying to solve for a problem that is descriptive, predictive, or prescriptive and then re-framing the problem as supervised learning, unsupervised learning, or reinforcement learning, respectively. One of the ways I frame that is, “Are you looking to build a predictive model?

Data Science 112

Data Science Machine Learning Advertising Modeling 112