CIO Business Intelligence

FEBRUARY 22, 2024

Since its creation over five years ago, the Digital Hub has included a team of experts in innovation, technologies, and trends — such as IoT, big data, AI, drones, 3D printing, or advances in customer experience — who work in concert with other business units to identify and execute new opportunities.

IT 98

IT Digital Transformation IoT Cost-Benefit 98

CIO Business Intelligence

JANUARY 13, 2023

Software-based advanced analytics — including big data, machine learning, behavior analytics, deep learning and, eventually, artificial intelligence. Worst case, they let security teams limit the damage of a successful attack to something determined to be an acceptable level of risk.

Software 135

Software Machine Learning Behavioral Analytics Risk 135

IBM Big Data Hub

DECEMBER 15, 2023

While open-source AI offers enticing possibilities, its free accessibility poses risks that organizations must navigate carefully. Biased training data can lead to discriminatory outcomes, while data drift can render models ineffective and labeling errors can lead to unreliable models. Governments like the U.S.

Deep Learning 65

Deep Learning Experimentation Machine Learning Risk 65

CIO Business Intelligence

MARCH 13, 2024

Altrettanto importante (e forse più trascurata) è la questione dei big data che servono per addestrare i modelli e il costo connesso. L’analisi dei dati attraverso l’apprendimento automatico (machine learning, deep learning, reti neurali) è la tecnologia maggiormente utilizzata dalle grandi imprese che utilizzano l’IA (51,9%).

Machine Learning 101

Machine Learning Deep Learning Big Data Testing 101

Smart Data Collective

DECEMBER 21, 2020

We previously talked about the benefits of data analytics in the insurance industry. One report found that big data vendors will generate over $2.4 Insurers are already using AI to select rates for customers and measure the risk they may pose, but how will it directly be of use in claims processing?

Insurance 134

Insurance Cost-Benefit Big Data Unstructured Data 134

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? Machine learning and deep learning are both subsets of AI.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

CIO Business Intelligence

JUNE 1, 2022

These supercomputers power exciting innovations in deep learning, disease control, and physics—think bionic eyes, DNA sequencing for infectious disease research, and the study of time crystals. . CSIRO’s Bracewell Delivers Deep Learning, Bionic Vision. Ready to evolve your analytics strategy or improve your data quality?

Deep Learning 89

Deep Learning Snapshot Optimization Data Quality 89

IBM Big Data Hub

JULY 11, 2023

AI-enabled robots can work around sensitive organs and tissues, reducing blood loss, infection risk and post-surgery pain. 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 55

Deep Learning Cost-Benefit Insurance Machine Learning 55

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics in business Predictive analytics draws its power from a wide range of methods and technologies, including big data, data mining, statistical modeling, machine learning, and assorted mathematical processes. Financial services: Develop credit risk models. from 2022 to 2028.

Predictive Analytics 141

Predictive Analytics Analytics Predictive Modeling Forecasting 141

IBM Big Data Hub

NOVEMBER 29, 2023

To build that trust and drive broad adoption, vendors of synthetic data generation tools will need to address two critical questions that many business leaders ask: Will synthetic data expose my business to additional data privacy risks? How accurately does synthetic data reflect my existing data?

Metrics 81

Metrics Machine Learning Statistics Risk 81

bridgei2i

JUNE 23, 2021

AI solutions can efficiently detect fraud and minimize risks across the insurance channels. It can identify trends and patterns in large data sets and spot abnormalities. AI can produce risk scores for claims automatically to indicate the likelihood that fraud has occurred. Fraud Detection. Underwriting .

Insurance 52

Insurance Risk Deep Learning Data-driven 52

IBM Big Data Hub

MAY 17, 2024

But as businesses around the globe rapidly adopt the technology to augment processes from merchandising to order management, there is some risk. By using machine learning algorithms and big data analytics, AI can uncover patterns, correlations and trends that might escape human analysts.

B2B 65

B2B Interactive Optimization Forecasting 65

IBM Big Data Hub

JUNE 26, 2023

ChatGPT was the first but today there are many competitors ChatGPT uses a deep learning architecture call the Transformer and represents a significant advancement in the field of NLP. Each organization must balance opportunities for value creation with the risks involved. in 2022 and it is expected to be hit around USD 118.06

Risk 64

Risk Deep Learning Metadata Modeling 64

CIO Business Intelligence

JUNE 7, 2022

Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes. Predictive analytics is often considered a type of “advanced analytics,” and frequently depends on machine learning and/or deep learning.

Data Analytics 131

Data Analytics Diagnostic Analytics Management Analytics 131

Domino Data Lab

JULY 28, 2021

Data science is a field that uses math and statistics as part of a scientific process to develop an algorithm that can extract insights from data. After cleaning, the data is now ready for processing. At this stage, data scientists begin writing code for computation and model-building. All models are not made equal.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

Birst BI

NOVEMBER 20, 2018

When you hear about Data Science, Big Data, Analytics, Artificial Intelligence, Machine Learning, or Deep Learning, you may end up feeling a bit confused about what these terms mean. A stock-out of an item may put a patient’s health at risk, but keeping huge amounts of inventory is very costly.

Statistics 84

Statistics Machine Learning Deep Learning Optimization 84

IBM Big Data Hub

AUGUST 28, 2023

Machine learning algorithms like Naïve Bayes and support vector machines (SVM), and deep learning models like convolutional neural networks (CNN) are frequently used for text classification. Crisis management and risk management: Text mining serves as an invaluable tool for identifying potential crises and managing risks.

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

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.” Benefits include automatic task and subtask generation, leveraging historical project data to forecast timelines and requirements, note taking and risk prediction.

Enterprise 118

Enterprise Modeling Testing Data-driven 118

Domino Data Lab

MARCH 11, 2021

Here are several key considerations you should take into account when selecting a machine learning framework for your project. When you start your search for a machine learning framework, ask these three questions: Will you use the framework for deep learning or classic machine learning algorithms?

Machine Learning 143

Machine Learning Deep Learning Insurance Modeling 143

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. 415 million (!)

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

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 57

Deep Learning Machine Learning Unstructured Data Modeling 57

IBM Big Data Hub

APRIL 22, 2024

The US City of Atlanta , for example, uses IBM data collection, machine learning and AI to monitor public transit tunnel ventilation systems and predict potential failures that could put passengers at risk.

IoT 78

IoT Internet of Things Cost-Benefit Reporting 78

IBM Big Data Hub

DECEMBER 5, 2023

According to IBM’s latest CEO study , industry leaders are increasingly focusing on AI technologies to drive revenue growth, with 42% of retail CEOs surveyed banking on AI technologies like generative AI, deep learning, and machine learning to deliver results over the next three years.

Unstructured Data 91

Unstructured Data Cost-Benefit Experimentation Machine Learning 91

IBM Big Data Hub

FEBRUARY 14, 2024

By infusing AI into IT operations , companies can harness the considerable power of NLP, big data, and ML models to automate and streamline operational workflows, and monitor event correlation and causality determination. AI platforms can use machine learning and deep learning to spot suspicious or anomalous transactions.

Cost-Benefit 83

Cost-Benefit Insurance Unstructured Data Machine Learning 83

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.

Data Science 53

Data Science Machine Learning Cost-Benefit Deep Learning 53

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. But these powerful technologies also introduce new risks and challenges for enterprises. We stand on the frontier of an AI revolution.

Enterprise 128

Enterprise Technology Modeling Cost-Benefit 128

IBM Big Data Hub

SEPTEMBER 6, 2023

From customized content creation to task automation and data analysis, AI has seemingly endless applications when it comes to marketing, but also some potential risks. They can also reduce the likelihood of human error, deliver more personalized customer messages and identify at-risk customers. What is AI marketing?

Marketing 79

Marketing Technology Advertising ROI 79

IBM Big Data Hub

OCTOBER 16, 2023

ML also helps businesses forecast and decrease customer churn (the rate at which a company loses customers), a widespread use of big data. Reinforcement learning uses ML to train models to identify and respond to cyberattacks and detect intrusions.

Machine Learning 49

Machine Learning Marketing Forecasting Modeling 49

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. All this reduces the risk of a data leak or unauthorized access.

Risk 92

Risk Modeling Cost-Benefit Enterprise 92

IBM Big Data Hub

APRIL 18, 2024

Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move. Most importantly, no matter the strength of AI (weak or strong), data scientists, AI engineers, computer scientists and ML specialists are essential for developing and deploying these systems.

Cost-Benefit 90

Cost-Benefit Modeling Manufacturing Interactive 90

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. However, executives are also concerned about navigating risks such as bias, ethics and security.

Consulting 53

Consulting Machine Learning Deep Learning Cost-Benefit 53

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

IBM Big Data Hub

JUNE 14, 2023

Traditional AI tools, especially deep learning-based ones, require huge amounts of effort to use. You need to collect, curate, and annotate data for any specific task you want to perform. Sometimes the problem with artificial intelligence (AI) and automation is that they are too labor intensive.

Modeling 85

Modeling Data Lake Enterprise Deep Learning 85

BizAcuity

APRIL 6, 2022

Hence, a lot of time and effort should be invested into research and development, hedging and risk management. It also means heavy investments on data storage, management, security and speed at which data should be processed. A casino can profit a great deal out of cryptocurrencies.

Data Analytics 52

Data Analytics Analytics B2B Deep Learning 52

Smart Data Collective

MAY 17, 2021

Big data is at the heart of the digital revolution. Basing fleet management operations on data is not new, and in some ways, it’s always been a part of the industry. Basing fleet management operations on data is not new, and in some ways, it’s always been a part of the industry. Improved Fleet Management Controls.

Big Data 100

Big Data Cost-Benefit IoT Machine Learning 100

Domino Data Lab

MARCH 6, 2019

Niels Kasch , cofounder of Miner & Kasch , an AI and Data Science consulting firm, provides insight from a deep learning session that occurred at the Maryland Data Science Conference. Outlook, with Justin Leto, Big Data & AI: State of the Industry, Labor Trends and Future Outlook. Introduction.

Deep Learning 55

Deep Learning Data Science Machine Learning Modeling 55

Cloudera

SEPTEMBER 12, 2018

Enterprise Machine Learning: . AbbVie, one of the world’s largest global research and development pharmaceutical companies, established a big data platform to provide end-to-end operations visibility, agility, and responsiveness. Technical Impact. Special Impact. Rookie of the Year: . Carrefour Spain.

Machine Learning 46

Machine Learning Big Data Data Science Data Warehouse 46