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

MAY 9, 2023

Over the past decade, deep learning arose from a seismic collision of data availability and sheer compute power, enabling a host of impressive AI capabilities. Data must be laboriously collected, curated, and labeled with task-specific annotations to train AI models. We stand on the frontier of an AI revolution.

Enterprise 133

Enterprise Technology Modeling Cost-Benefit 133

CIO Business Intelligence

JANUARY 25, 2024

Organizations will benefit from these skills in other ways, too, she adds. That doesn’t mean getting certifications in deep learning or mastering natural language processing. A developer creating an AI app can’t assume their company has unlimited access to the datasets of commercial large language models.

Deep Learning 115

Deep Learning Cost-Benefit Statistics Manufacturing 115

Cloudera

APRIL 10, 2021

When working on complex, or rigorous enterprise machine learning projects, Data Scientists and Machine Learning Engineers experience various degrees of processing lag training models at scale. While model training on small data can typically take minutes, doing the same on large volumes of data can take hours or even weeks.

Machine Learning 62

Machine Learning Modeling Cost-Benefit Data Science 62

IBM Big Data Hub

JULY 11, 2023

Artificial intelligence is used in healthcare for everything from answering patient questions to assisting with surgeries and developing new pharmaceuticals, benefitting both patients and healthcare systems. How does artificial intelligence benefit healthcare? Also, that algorithm can be replicated at no cost except for hardware.

Deep Learning 58

Deep Learning Cost-Benefit Insurance Machine Learning 58

Smart Data Collective

JULY 8, 2021

Ever since its emergence at the beginning of the century, building information modeling (BIM) has streamlined the construction process of buildings, up from their conception to execution. While artificially intelligent systems found their way into almost every household, the AEC industry is yet to reap the full extent of AI’s benefits.

Cost-Benefit 125

Cost-Benefit Deep Learning Modeling Visualization 125

CIO Business Intelligence

DECEMBER 20, 2023

Since the last mile process is highly agile, CIOs must ensure the software systems have built-in deep learning capabilities to make in-the-moment decisions. For example, Uber and Zomato use a deep learning algorithm that considers driver location and overall ratings while mapping them to particular orders/bookings.

Software 111

Software Deep Learning B2B Cost-Benefit 111

IBM Big Data Hub

APRIL 22, 2024

We use to collect data from 6,500+ utility bills we receive globally each year and summarize total energy consumption, cost, and renewable electricity purchases across to save many hours of calculations. These models also help estimate where carbon is stored, how long it will take to degrade, and more.

IoT 84

IoT Internet of Things Cost-Benefit Reporting 84

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. Models can be designed, for instance, to discover relationships between various behavior factors.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

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

JANUARY 11, 2024

With a lean set of commands, it shouldn’t be a complicated language for newer developers to learn or understand. And there’s no reason why mainframe applications wouldn’t benefit from agile development and smaller, incremental releases within a DevOps-style automated pipeline. Refactoring. Transformation.

Digital Transformation 107

Digital Transformation Modeling Deep Learning Visualization 107

IBM Big Data Hub

AUGUST 11, 2023

Because ML is becoming more integrated into daily business operations, data science teams are looking for faster, more efficient ways to manage ML initiatives, increase model accuracy and gain deeper insights. MLOps is the next evolution of data analysis and deep learning. How the models are stored.

Data Science 57

Data Science Machine Learning Cost-Benefit Deep Learning 57

Smart Data Collective

MARCH 27, 2023

Some of the benefits of AI in banking include: Banks use AI bots to onboard clients and analyze borrower risk. They have also started integrated computer vision and deep learning technology to identify inefficiencies. Software is now typically a monthly recurring cost. It sounds expensive.

Software 87

Software Finance Cost-Benefit Data-driven 87

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 87

Metrics Machine Learning Risk Statistics 87

IBM Big Data Hub

FEBRUARY 14, 2024

Other uses include Netflix offering viewing recommendations powered by models that process data sets collected from viewing history; LinkedIn uses ML to filter items in a newsfeed, making employment recommendations and suggestions on who to connect with; and Spotify uses ML models to generate its song recommendations.

Cost-Benefit 87

Cost-Benefit Insurance Unstructured Data Machine Learning 87

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

Corinium

JUNE 6, 2019

For instance, for a variety of reasons, in the short term, CDAOS are challenged with quantifying the benefits of analytics’ investments. There is usually a steep learning curve in terms of “doing AI right”, which is invaluable. It is also important to have a strong test and learn culture to encourage rapid experimentation.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

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. Companies benefit by keeping or acquiring geographically-dispersed top talent often attracted to a flexible work environment. Additionally, VDI can reduce operational costs in two ways.

Technology 59

Technology Cost-Benefit Deep Learning Modeling 59

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

APRIL 24, 2023

Generative AI (Artificial Intelligence) and its underlying foundation models represent a paradigm shift in innovation, significantly impacting enterprises exploring AI applications. These foundation models are trained on vast amounts of data. The model can then predict or classify new, previously unseen data.

Enterprise 52

Enterprise Deep Learning Modeling Machine Learning 52

CIO Business Intelligence

APRIL 25, 2022

But despite all the money flowing into ML projects, most organizations are struggling to get their ML models and applications working on production systems. . And another recent survey has the worst numbers of all, finding that 90% of ML models are not deployed to production. So what’s the problem? The approach works.

Machine Learning 134

Machine Learning Enterprise Deep Learning Cost-Benefit 134

CIO Business Intelligence

JANUARY 23, 2023

Microsoft stands to benefit from its investment in three ways. 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.

Enterprise 131

Enterprise Deep Learning Recreation/Entertainment Interactive 131

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.” This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task.

Enterprise 124

Enterprise Modeling Testing Data-driven 124

Rocket-Powered Data Science

DECEMBER 15, 2018

Many unsupervised learning models can converge more readily and be more valuable if we know in advance which parameterizations are best to choose. If we cannot know that ( i.e., because it truly is unsupervised learning), then we would like to know at least that our final model is optimal (in some way) in explaining the data.

Machine Learning 171

Machine Learning Optimization Metrics Modeling 171

O'Reilly on Data

JULY 28, 2020

You must detect when the model has become stale, and retrain it as necessary. 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. Modeling and Evaluation.

Marketing 362

Marketing Experimentation Metrics Testing 362

CIO Business Intelligence

JUNE 1, 2022

The company is applying winning insights from rapid, data-driven, evolutionary models versus relying on engine speed and aerodynamics alone to win races. which are virtual models of objects, systems, or processes ? and artificial intelligence (AI) and machine learning (ML) technologies. . Just starting out with analytics?

Manufacturing 119

Manufacturing Digital Transformation Predictive Analytics Strategy 119

Smart Data Collective

FEBRUARY 20, 2022

Its cost-effective service solutions ensure that you can optimize costs, organize data, and provide access controls to meet your business, organizational, and regulatory needs. While maintaining cost control, SaaS companies may have to innovate quickly. Benefits of using AWS for your SaaS company. Cost-effective.

Cost-Benefit 114

Cost-Benefit Data Lake Software Machine Learning 114

Cloudera

SEPTEMBER 20, 2022

Scope, motivation, and benefits. The benefit of this task is to lower the labor and skill burden in generating images of a desired quality. Who benefits? Under a capitalist system of values, businesses and individuals that are consumers of art also benefit from increased productivity. Ethical considerations. Why automate?

Deep Learning 85

Deep Learning Cost-Benefit Risk Data-driven 85

CIO Business Intelligence

JANUARY 4, 2023

Here are the shifts we noted: Delivery Models : Moving from an almost strictly on-premises systems approach (with some remote access services), HPC is embracing remote delivery models. Advances in Artificial Intelligence and Machine Learning (AI/ML): AI/ML will continue growing as an important workload in HPC.

Cost-Benefit 59

Cost-Benefit Machine Learning Modeling Uncertainty 59

CIO Business Intelligence

JUNE 2, 2022

Among the hot technologies, artificial intelligence and machine learning — a subset of AI that that makes more accurate forecasts and analysis as it ingests data — continue to be of high interest as banks keep a strong focus on costs while trying to boost customer experience and revenue. AI enhances operational efficiency.

Predictive Analytics 145

Predictive Analytics Technology Analytics Machine Learning 145

IBM Big Data Hub

AUGUST 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data. What is text mining?

Data mining 57

Data mining Machine Learning Deep Learning Marketing 57

IBM Big Data Hub

FEBRUARY 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. DL models can improve over time through further training and exposure to more data. These technologies enable systems to interact, learn from interactions, adapt and become more efficient.

Enterprise 104

Enterprise Interactive Data-driven Key Performance Indicator 104

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. After cleaning, the data is now ready for processing.

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

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

Smart Data Collective

MAY 8, 2022

When you combine big data with AI, you can help your users extract highly-valuable insights from data, foster data literacy across your company or organization, and take advantage of the many other benefits it offers. Improves decision making and reduces costs. This is where business analytic specialists come in.

Big Data 104

Big Data Data Analytics Analytics Cost-Benefit 104

Smart Data Collective

FEBRUARY 21, 2021

Deep learning tech is influencing and enhancing many industries, promising to provide insights into key business operations which were not previously possible to unearth. One of the biggest applications of this technology lies with using deep learning to streamline fleet management. Route adjustments made in real time.

Deep Learning 97

Deep Learning Management Cost-Benefit Manufacturing 97