IBM Big Data Hub

FEBRUARY 23, 2024

The emergence of NLG has dramatically improved the quality of automated customer service tools, making interactions more pleasant for users, and reducing reliance on human agents for routine inquiries. DL models can improve over time through further training and exposure to more data.

Enterprise 106

Enterprise Interactive Data-driven Key Performance Indicator 106

CIO Business Intelligence

APRIL 4, 2024

Some prospective projects require custom development using large language models (LLMs), but others simply require flipping a switch to turn on new AI capabilities in enterprise software. “AI We want to maintain discipline and go deep.” On-time delivery has improved substantially,” she says.

Enterprise 134

Enterprise Cost-Benefit Forecasting Strategy 134

O'Reilly on Data

MAY 18, 2020

This article answers these questions, based on our combined experience as both a lawyer and a data scientist responding to cybersecurity incidents, crafting legal frameworks to manage the risks of AI, and building sophisticated interpretable models to mitigate risk. All predictive models are wrong at times?—just

Risk 359

Risk Modeling Data Processing Software 359

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 88

Metrics Machine Learning Risk Statistics 88

IBM Big Data Hub

NOVEMBER 29, 2023

Artificial intelligence is also key for businesses, helping provide capabilities for both streamlining business processes and improving strategic decisions. Additionally, developments in both closed and open source large language models (LLM) are enhancing AI’s ability for understanding plain, natural language.

Unstructured Data 92

Unstructured Data Data-driven ROI Machine Learning 92

IBM Big Data Hub

APRIL 22, 2024

Also, it allows them to leverage said data and insights to supercharge their progress in a way that improves performance and meets regulatory requirements. We are also working to help organizations become more climate resilient by providing them with the tools needed to predict climate impact.

IoT 85

IoT Internet of Things Cost-Benefit Reporting 85

IBM Big Data Hub

OCTOBER 17, 2023

Generative AI , when applied to industrial processes, can improve production yield, reduce quality variability and lower specific energy consumption (thereby reducing operational costs and emissions). Foundation models make AI more scalable by consolidating the cost and effort of model training by up to 70%.

Modeling 107

Modeling Optimization Manufacturing Forecasting 107

CIO Business Intelligence

OCTOBER 13, 2023

Organizations are also optimistic that gen AI will boost productivity and improve business outcomes, with 58% saying that they believe gen AI will make employees more productive, 55% saying that gen AI–infused products lead to better business outcomes, and 55% saying that gen AI enables employees to focus more on value-adding tasks.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

IBM Big Data Hub

JANUARY 15, 2024

Traditional AI primarily relies on algorithms and extensive labeled data sets to train models through machine learning. These models can provide recommendations or identify certain behaviors by recognizing patterns and adhering to predefined rules.

Machine Learning 69

Machine Learning Digital Transformation Modeling Data Collection 69

CIO Business Intelligence

SEPTEMBER 7, 2023

That’s why, around the world, governments and the defense industry as a whole are now investing and exploring generative artificial intelligence (AI), or large language models (LLMs), to better understand what’s possible. This can be used to predict potential terrorist attacks and insurgent activities and then recommend preemptive actions.

Unstructured Data 119

Unstructured Data Cost-Benefit Risk Data-driven 119

CIO Business Intelligence

DECEMBER 21, 2023

An AI solution that excels in scalability ensures that it can effortlessly expand to meet the global organization’s requirements, maintaining pace with the surge in data traffic and morphing attack strategies across diverse regions. 60% improved accuracy in detecting sophisticated exploit frameworks.

Data-driven 105

Data-driven Risk Enterprise Cost-Benefit 105

Smart Data Collective

JULY 16, 2023

Optimizing hedge fund performance requires the implementation of intelligent strategies, from managing risks to maximizing returns, improving investor relations, and adapting to shifting market conditions. Among these tools, quantitative models have emerged as one of the most effective solutions.

ROI 71

ROI Data Analytics Analytics Risk Management 71

CIO Business Intelligence

OCTOBER 24, 2023

In light of this, developer teams are beginning to turn to AI-enabled tools like large language models (LLMs) to simplify and automate tasks. The language model generates text that is not logically consistent with the input but still sounds plausible to a human reader.

Modeling 119

Modeling Risk Reporting Machine Learning 119

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. AI-powered automation is already driving significant margin growth by reducing costs.

Interactive 81

Interactive Data-driven Cost-Benefit Optimization 81

IBM Big Data Hub

FEBRUARY 13, 2024

This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task. Generative adversarial networks (GANs) or variational autoencoders (VAEs) are used for images, videos, 3D models and music. Autoregressive models or large language models (LLMs) are used for text and language.

Enterprise 125

Enterprise Modeling Testing Data-driven 125

CIO Business Intelligence

APRIL 22, 2022

For most organizations, it is employed to transform data into value in the form of improved revenue, reduced costs, business agility, improved customer experience, the development of new products, and the like. It could help predict what to put on supermarket shelves, or how popular a product will be based on its attributes.

Data Science 140

Data Science Statistics Machine Learning Visualization 140

CIO Business Intelligence

JANUARY 5, 2024

Our owner, Jinjiang International, set us a very clear objective: to move from systems created in the 80s that are difficult to maintain to modern ones. From an organizational standpoint, we evolved to a nearshore model, attracting the necessary talent that new technologies required. How have you rebuilt all the IT talent?

IT 116

IT Finance Cost-Benefit Strategy 116

CIO Business Intelligence

AUGUST 11, 2023

For example, a translation algorithm that recognizes that, in French, “I’m going to the park” is “Je vais au parc” will learn to predict that “I’m going to the store” also begins with “Je vais au.” Transformer models take applications such as language translation and chatbots to a new level. Chatbots work the same way.

Unstructured Data 142

Unstructured Data Modeling Machine Learning Data mining 142

AWS Big Data

APRIL 11, 2023

Accurately predicting demand for products allows businesses to optimize inventory levels, minimize stockouts, and reduce holding costs. However, forecasting can be a complex process, and inaccurate predictions can lead to missed opportunities and lost revenue. Forecasting is another critical component of effective inventory management.

Forecasting 72

Forecasting Management IoT Data-driven 72

IBM Big Data Hub

DECEMBER 19, 2023

As organizations collect larger data sets with potential insights into business activity, detecting anomalous data, or outliers in these data sets, is essential in discovering inefficiencies, rare events, the root cause of issues, or opportunities for operational improvements. But what is an anomaly and why is detecting it important?

Machine Learning 72

Machine Learning Optimization Unstructured Data Sales 72

Cloudera

DECEMBER 1, 2023

The US Department of Defense, for instance, is leveraging AI for predictive maintenance of military equipment, improving operational readiness and cost-effectiveness. It is vital to establish stringent data governance practices to maintain data integrity, privacy, and compliance with regulatory requirements.

Data Governance 111

Data Governance Data-driven Strategy Data Architecture 111

CIO Business Intelligence

JULY 12, 2023

Companies across a multitude of industries are now using AI to improve their manufacturing processes. AI improves diaper manufacturing “All areas of P&G’s business are being impacted by emerging technologies like automation, AI, and machine learning,” says Vittorio Cretella, CIO of Procter & Gamble. says Cretella.

Manufacturing 98

Manufacturing Cost-Benefit Data Lake Optimization 98

IBM Big Data Hub

JUNE 29, 2023

Both KPIs help predict how assets will perform and assist managers in planning preventive and predictive maintenance. Preventive and predictive maintenance Both preventive and predictive maintenance are maintenance strategies used by business leaders to increase asset reliability. First, let’s look at MTBF and MTTR.

Cost-Benefit 87

Cost-Benefit Measurement Management Predictive Analytics 87

AWS Big Data

NOVEMBER 1, 2023

Amazon Redshift ML allows data analysts, developers, and data scientists to train machine learning (ML) models using SQL. In previous posts, we demonstrated how you can use the automatic model training capability of Redshift ML to train classification and regression models.

Modeling 93

Modeling Data Warehouse Machine Learning Recreation/Entertainment 93

CIO Business Intelligence

AUGUST 25, 2023

That’s when P&G decided to put data to work to improve its diaper-making business. To address these issues, Proctor & Gamble worked closely with Microsoft to deploy Microsoft’s IoT and Edge analytics platform, its Azure cloud for manufacturing, and its IoT sensors, edge analytics, and machine learning models.

Predictive Analytics 98

Predictive Analytics IoT Manufacturing Analytics 98

CIO Business Intelligence

SEPTEMBER 12, 2022

The approach is generating lots of practical business benefits and has improved customer service. Fazal and his team have moved most of NJ Transit’s data to the cloud, evolving from simple reports to advanced analytics and AI/ML models that generate insights that transportation business analysts could only dream about in the past, he says.

Data Warehouse 116

Data Warehouse Predictive Analytics Data Lake IoT 116

IBM Big Data Hub

MARCH 4, 2024

In 2024, companies confront significant disruption, requiring them to redefine labor productivity to prevent unrealized revenue, safeguard the software supply chain from attacks, and embed sustainability into operations to maintain competitiveness. Consider the following: Do you need a public foundation model? times higher ROI.

Enterprise 107

Enterprise ROI Risk Strategy 107

IBM Big Data Hub

SEPTEMBER 13, 2023

IBM Cloud for Payments provides a secure foundation for global growth in payments that opens new revenue streams, maintains positive customer experiences and ensures secure transactions (while maintaining the highest compliance standards).

Forecasting 81

Forecasting Statistics Modeling Data Processing 81

Cloudera

NOVEMBER 1, 2022

A quick trip in the congressional time machine to revisit 2017’s Modernizing Government Technology Act surfaces some of the most salient points regarding agencies’ challenges: The federal government spends nearly 75% of its annual information technology funding on operating and maintaining existing legacy information technology systems.

Cost-Benefit 90

Cost-Benefit Data Architecture Risk IoT 90

CIO Business Intelligence

JANUARY 19, 2024

Adapting gameplay in real-time As generative AI improves character features and customizations, it will also uniquely shape each gamer’s experience, and do so in real-time. Generative AI can analyze player behavior, predict player expertise then adapt levels of play to each gamer in real time, preventing boredom and defection.

Unstructured Data 116

Unstructured Data Recreation/Entertainment Data-driven Interactive 116

CIO Business Intelligence

MARCH 21, 2022

As such, a data scientist must have enough business domain expertise to translate company or departmental goals into data-based deliverables such as prediction engines, pattern detection analysis, optimization algorithms, and the like. Data science is a fast growing field, with the BLS predicting job growth of 22% from 2020 to 2030.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Structured Data 137

Cloudera

OCTOBER 14, 2020

Not many other industries have such a sophisticated business model that encompasses a culture of streamlined supply chains, predictive maintenance, and unwavering customer satisfaction. Step 1: Using the training data to create a model/classifier. The Process. Airlines design their aircraft to operate at 99.999% reliability.

Machine Learning 98

Machine Learning Modeling Cost-Benefit Testing 98

DataKitchen

SEPTEMBER 20, 2021

As productivity improves, you can widen the DataOps circle and carefully invest in strategic process change that serves as the foundation for further improvements in team velocity. DataKitchen jump-starts your efforts and enables you to focus on process improvement instead of infrastructure enablement. Development DataOps.

Testing 246

Testing Metrics Measurement Dashboards 246

Smart Data Collective

OCTOBER 8, 2021

As well as bolster investor confidence and improve profitability. For instance, you want to generate effective AUM, NAV, and share value reports to improve investor confidence as a manager. Similarly, hedge funds often use modern machine learning and back-testing to analyze their quant models. Pre-train tests. Invariance tests.

Machine Learning 116

Machine Learning Testing Strategy Modeling 116

FineReport

APRIL 9, 2024

From advanced analytics to predictive modeling, the evolving landscape of business intelligence is revolutionizing how data is processed and leveraged for actionable insights. By leveraging advanced analytics, the company optimized its product offerings, resulting in improved sales performance and enhanced customer satisfaction.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

Smart Data Collective

MARCH 2, 2023

Big data helps businesses address cash flow needs A growing number of companies use big data technology to improve their financing. Therefore, every business must set its prices carefully to maximize revenue and maintain a decent profit margin. Big data technology can significantly improve the company’s pricing strategy.

Big Data 82

Big Data Uncertainty Risk Data mining 82

O'Reilly on Data

JULY 28, 2020

It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about. You must detect when the model has become stale, and retrain it as necessary. Nonetheless, building a superior feature pipeline or model architecture will always be worthwhile.

Marketing 362

Marketing Experimentation Metrics Testing 362