AWS Big Data

MAY 28, 2024

In this series, we streamline the process of identifying and applying the most suitable architecture for your business requirements, and help kickstart your system development efficiently with examples. To help streamline this process and empower your team with real-time insights, Amazon has introduced Amazon Q in QuickSight.

IoT 90

IoT Analytics Dashboards Data-driven 90

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 97

Modeling Data Warehouse Machine Learning Recreation/Entertainment 97

CIO Business Intelligence

MAY 15, 2024

If Act One of digital transformation was building applications—for example, building omnichannel customer experiences—then Act Two is adding GenAI. Its core capability—using large language models (LLMs) to create content, whether it’s code or conversations—can introduce a whole new layer of engagement for organizations.

Cost-Benefit 92

Cost-Benefit Risk Modeling Digital Transformation 92

Cloudera

JUNE 11, 2024

More than two-thirds of companies are currently using Generative AI (GenAI) models, such as large language models (LLMs), which can understand and generate human-like text, images, video, music, and even code. However, the true power of these models lies in their ability to adapt to an enterprise’s unique context.

Enterprise 71

Enterprise Unstructured Data Contextual Data Data-driven 71

CIO Business Intelligence

JUNE 5, 2024

No one would dispute that artificial intelligence (AI) is reimaging how businesses and entire industries operate. Yet, as the hype around AI and machine learning intensifies, so does the number of AI buzzwords designed lure and distract. How should you describe an AI model generating something that disagrees with reality?

Machine Learning 108

Machine Learning Modeling Statistics Metrics 108

CIO Business Intelligence

JUNE 14, 2023

Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications. If you’re looking to get an edge on a data analytics career, certification is a great option.

Big Data 124

Big Data Data Analytics Analytics Predictive Modeling 124

IBM Big Data Hub

NOVEMBER 29, 2023

As all businesses strive to adopt a best-in-class approach for AI tools, let’s discuss best practices for how your company can leverage AI to enhance your real-time event processing use cases. AI and event processing: a two-way street An event-driven architecture is essential for accelerating the speed of business.

Unstructured Data 84

Unstructured Data Data-driven ROI Machine Learning 84

Cloudera

NOVEMBER 19, 2021

We are excited by the endless possibilities of machine learning (ML). We recognise that experimentation is an important component of any enterprise machine learning practice. Organizations need to usher their ML models out of the lab (i.e., COPML accounts for the fact that true production machine learning (i.e.,

Machine Learning 122

Machine Learning Modeling Experimentation IT 122

Rocket-Powered Data Science

OCTOBER 16, 2020

First, we heard how Big Data, Data Science, Machine Learning (ML) and Advanced Analytics would have the honor to be the technologies that would cure cancer, end world hunger and solve the world’s biggest challenges. We build models to test our understanding, but these models are not “one and done.”

Digital Transformation 142

Digital Transformation Experimentation Data Strategy Data Science 142

DataRobot Blog

AUGUST 3, 2022

How can you save time in understanding the impact of language when working with text in ML models ? With tens of thousands of Text AI projects, DataRobot has helped organizations unlock insights from text and generate predictions with text models—from assisting with customer support ticket triage to predicting real estate sale prices.

Machine Learning 105

Machine Learning Optimization Deep Learning Modeling 105

DataRobot

NOVEMBER 1, 2021

Practitioners in the AI space are focused on the speed and accuracy of model predictions. But the end game for the applicability of models is not in the predictions, but the decisions they enable, and predictive models alone don’t ensure better decisions. How disruptive would it be?

Machine Learning 98

Machine Learning Manufacturing Predictive Modeling Optimization 98

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 80

Metrics Machine Learning Statistics Risk 80

IBM Big Data Hub

APRIL 18, 2024

Imagine a world where machines aren’t confined to pre-programmed tasks but operate with human-like autonomy and competence. AGI, sometimes referred to as strong AI , is the science-fiction version of artificial intelligence (AI), where artificial machine intelligence achieves human-level learning, perception and cognitive flexibility.

Cost-Benefit 89

Cost-Benefit Modeling Manufacturing Interactive 89

AWS Big Data

MARCH 21, 2024

However, it can be challenging to set up a Kafka cluster along with other data processing components that scale automatically depending on your application’s needs. In this post, we explain how you can use some of these services, including MSK Serverless , to build a serverless data platform to meet your real-time needs.

Data Lake 96

Data Lake Management Modeling Optimization 96

DataRobot

JULY 16, 2021

The first is trust in the performance of your AI/machine learning model. The second is trust in the operations of your AI system. The third is trust in the ethics of your workflow, both to design the AI system and how it is used to inform your business process. How large is the data set?

Machine Learning 98

Machine Learning Uncertainty Modeling Measurement 98

Smart Data Collective

SEPTEMBER 24, 2021

Machine Learning is a branch of Artificial Intelligence that works by giving computers the ability to learn without being explicitly programmed. As technology advances, machine learning will have more opportunities to help businesses engage with their customers and improve the overall customer experience.

Machine Learning 123

Machine Learning Marketing Modeling Sales 123

CIO Business Intelligence

MAY 12, 2022

Predictive analysis tools have an answer. But sometimes can often be more than enough if the prediction can help your enterprise plan better, spend more wisely, and deliver more prescient service for your customers. What are predictive analytics tools? Top predictive analytics tools compared. Are they right?

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

IBM Big Data Hub

FEBRUARY 13, 2024

Remember how cool it felt when you first held a smartphone in your hand? Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.” Automate tedious, repetitive tasks.

Enterprise 119

Enterprise Modeling Testing Data-driven 119

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

CIO Business Intelligence

SEPTEMBER 19, 2023

To gain a better understanding of how companies are putting AI to practical use, consultancy Deloitte surveyed 2,620 global business leaders, across 13 countries, as part of its Fueling the AI Transformation report. And with the rise of generative AI, artificial intelligence use cases in the enterprise will only expand.

Enterprise 139

Enterprise Cost-Benefit Optimization Deep Learning 139

IBM Big Data Hub

FEBRUARY 23, 2024

NLP translates the user’s words into machine actions, enabling machines to understand and respond to customer inquiries accurately. Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development.

Enterprise 95

Enterprise Interactive Data-driven Key Performance Indicator 95

AWS Big Data

AUGUST 7, 2023

Amazon Redshift ML makes it easy for data analysts and database developers to create, train, and apply machine learning (ML) models using familiar SQL commands in Amazon Redshift. With Redshift ML, you can take advantage of Amazon SageMaker , a fully managed ML service, without learning new tools or languages.

Forecasting 84

Forecasting Data Warehouse Machine Learning Modeling 84

CIO Business Intelligence

OCTOBER 5, 2023

As chief digital and technology officer at CBRE, Davé recognized early that the commercial real estate industry was ripe for AI and machine learning enhancements, and he and his team have tested countless use cases across the enterprise ever since. And those experiments have paid off.

Experimentation 117

Experimentation Strategy Machine Learning Interactive 117

CIO Business Intelligence

MAY 27, 2024

Artificial intelligence is either] perceived as a magic wand: You just apply AI and suddenly your data — although it might be not accurate, consistent, reliable — suddenly becomes the opposite, or it’s something that is perceived as scary,” he says. There are two extremes. And the other end is people view it as a black box.

Data-driven 104

Data-driven Finance Enterprise IT 104

IBM Big Data Hub

APRIL 22, 2024

Sustainability strategy, data and reporting Using data and AI to drive your sustainability strategy while meeting reporting requirements In speaking with our clients around the world, we found that sustainability remains a priority on their agendas. This Earth Day, we are calling for action to conserve our scarcest resource: the planet.

IoT 77

IoT Internet of Things Cost-Benefit Reporting 77

CIO Business Intelligence

JUNE 25, 2023

After being “awed” by OpenAI’s GPT model acing the AP Bio exam, the model was asked a non-technical question: “What do you say to a father with a sick child?” Fine-tuning models that run “on top” of foundation models requires less data, costs less, and can be completed quickly. This metaphor can help on two fronts.

Finance 98

Finance Uncertainty Strategy Modeling 98

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. trillion on retail businesses through 2029. trillion in that year.

Unstructured Data 90

Unstructured Data Cost-Benefit Experimentation Machine Learning 90

CIO Business Intelligence

FEBRUARY 14, 2023

To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making. DataStax Real-time data and decisioning First, a few quick definitions. Improved recommendations for online transactions.

Data Strategy 107

Data Strategy Strategy Machine Learning Data-driven 107

CIO Business Intelligence

APRIL 12, 2022

Slowdowns caused by system disruption and complexities in your IT environment are more than an operational headache. It comes down to how much time individual stakeholders spend on reactive vs. proactive tasks. AI-powered operations – or AIOps – can change the value of time for your business. Proactive time builds momentum.

Digital Transformation 140

Digital Transformation B2B Enterprise IoT 140

IBM Big Data Hub

APRIL 13, 2023

After developing a machine learning model, you need a place to run your model and serve predictions. If your company is in the early stage of its AI journey or has budget constraints, you may struggle to find a deployment system for your model.

Modeling 81

Modeling Statistics Machine Learning Testing 81

DataRobot

DECEMBER 20, 2021

We collect more and more diverse data types, and we’re not always sure how we can turn this data into real value. Image recognition is one of the most relevant areas of machine learning. Image recognition is one of the most relevant areas of machine learning. Deep learning makes the process efficient.

Visualization 97

Visualization Deep Learning Machine Learning Modeling 97

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 97

Machine Learning Modeling Cost-Benefit Testing 97

Cloudera

JANUARY 20, 2021

to make a classification model based off of training data stored in both Cloudera’s Operational Database (powered by Apache HBase) and Apache HDFS. Afterwards, this model is then scored and served through a simple Web Application. Machine learning is now being used to solve many real-time problems. Background / Overview.

Machine Learning 115

Machine Learning Modeling Data Science Big Data 115

CIO Business Intelligence

OCTOBER 1, 2022

Cretella says P&G will make manufacturing smarter by enabling scalable predictive quality, predictive maintenance, controlled release, touchless operations, and manufacturing sustainability optimization. P&G can now better predict finished paper towel sheet lengths. Smart manufacturing at scale.

Manufacturing 143

Manufacturing Digital Transformation IoT Internet of Things 143

DataRobot

APRIL 27, 2021

As organizations start getting back to normal after the COVID-19 pandemic, AI and machine learning is top of mind for many of these leaders. Now this market is looking at embedding AI and machine learning together with automations to drive more end-to-end solutions and tackle those potential use cases that were once thought impossible.

Machine Learning 98

Machine Learning Cost-Benefit Predictive Modeling Software 98

BizAcuity

APRIL 1, 2023

1] With the rise of Big Data in today’s world, Machine Learning (ML) is popularly used to identify, assess, and monitor financial risks as well as detect various suspicious activities and transactions. For predictive analytics to deliver high accuracy, a lot depends on the combination of domain knowledge and technical expertise.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. Will the model correctly determine it is a muffin or get confused and think it is a chihuahua? The extent to which we can predict how the model will classify an image given a change input (e.g.

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85