IBM Big Data Hub

MAY 17, 2024

Four AI in commerce use cases are already transforming the customer journey: modernization and business model expansion; dynamic product experience management (PXM); order intelligence; and payments and security. Meanwhile, 43% are using the technology to inform strategic decisions.

B2B 58

B2B Interactive Optimization Forecasting 58

IBM Big Data Hub

FEBRUARY 29, 2024

More than 110 countries at the United Nations’ COP28 climate change conference agreed to triple that capacity by 2030, and global investment in clean energy transition hit a record high of USD 1.8 But with all of this new capacity, how are renewable energy resources really being used? trillion in 2023. What is renewable energy?

IoT 104

IoT Internet of Things Optimization Manufacturing 104

Cloudera

OCTOBER 18, 2023

Historically, firms have relied on high-cost, third-party solutions to help identify savings opportunities, however, the landscape is rapidly changing, and the emergence of AI and machine learning (ML) has ushered in a new era of possibilities. Quick wins! Quickest wins!

Cost-Benefit 76

Cost-Benefit Testing Machine Learning Optimization 76

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 95

Cost-Benefit Modeling Manufacturing Interactive 95

datapine

MAY 14, 2019

of all available data was analyzed, used, and understood. Even now, there are colossal streams of data yet to be explored – a level of insight that could prove groundbreaking if used in the right way. 2) “Deep Learning” by Ian Goodfellow, Yoshua Bengio and Aaron Courville. In 2013, less than 0.5%

Data Science 350

Data Science Machine Learning Data-driven Big Data 350

Cloudera

MAY 18, 2022

Envision use cases. It’s crucial that you take the time to figure out where to use the technology and to what effect. For this exercise, u se cases and their purpose should be as specific as possible. Will the data have other uses? . Those algorithms require high quality data to deliver meaningful results.

Cost-Benefit 92

Cost-Benefit Strategy Manufacturing Optimization 92

DataRobot Blog

MARCH 16, 2023

Since then, I’ve become increasingly motivated to take what I’ve learned over the years and push these boundaries even further. This important milestone is the first step in drastically modernizing not only the development, but most importantly, the interpretation, understanding, and adoption of AI use cases.

Data Science 98

Data Science Technology Data-driven Modeling 98

Cloudera

FEBRUARY 8, 2021

The digital revolution is making a deep impact on the automotive industry, offering practically unlimited possibilities for more efficient, convenient, and safe driving and travel experiences in connected vehicles. The vehicle-to-cloud solution driving advanced use cases. billion in 2019, and is projected to reach $225.16

Machine Learning 106

Machine Learning Manufacturing Unstructured Data Modeling 106

DataRobot Blog

AUGUST 3, 2022

How can you save time in understanding the impact of language when working with text in ML models ? The turbocharged language detection feature now uses a deep learning algorithm to identify the language of text even more precisely. Enhanced Autopilot Language Detection and Automatic Hyperparameter Tuning.

Machine Learning 105

Machine Learning Optimization Deep Learning Modeling 105

Insight

AUGUST 16, 2019

see below for the top 10 blog posts/resources! Getting Started with Data Engineering This blog post by Richard Taylor starts with a discussion of what big data and data engineering really mean before delving into an overview of the current landscape. What is Data Engineering and what is the role of a Data Engineer? you are not alone!

Big Data 51

Big Data Data Science Data Processing Machine Learning 51

DataRobot Blog

JULY 28, 2022

Rapid advances in machine learning in recent years have begun to lower the technical hurdles to implementing AI, and various companies have begun to actively use machine learning. Finding such good solutions is not only useful to win at Data Science Competitions, but also to maximize business value.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

DataRobot Blog

NOVEMBER 1, 2022

His enthusiasm rubbed off on me, and I continue to be a big football fan to this day (I even learned how to whistle!). However, beyond a player’s skill and teamwork, every detail of the game, such as the shot place, body part used, location side, and more, can make or break the outcome of the game. Which features matter most?

Unstructured Data 119

Unstructured Data Data Science Modeling Machine Learning 119

IBM Big Data Hub

FEBRUARY 14, 2024

When thinking of artificial intelligence (AI) use cases, the question might be asked: What won’t AI be able to do? But right now, pure AI can be programmed for many tasks that require thought and intelligence , as long as that intelligence can be gathered digitally and used to train an AI system.

Cost-Benefit 88

Cost-Benefit Insurance Unstructured Data Machine Learning 88

IBM Big Data Hub

DECEMBER 20, 2023

By giving machines the growing capacity to learn, reason and make decisions, AI is impacting nearly every industry, from manufacturing to hospitality, healthcare and academia. This alignment is essential for extracting meaningful value from AI and maximizing its impact.

Strategy 79

Strategy Business Objectives Cost-Benefit Consulting 79

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. Real-time decisioning can occur in minutes, seconds, milliseconds, or microseconds, depending on the use case.

Data Strategy 109

Data Strategy Strategy Machine Learning Data-driven 109

Cloudera

NOVEMBER 25, 2021

With an increased adoption of AI there has been an associated increase in risk, specifically around the ethical use of AI. In this article we explore what Ethical AI is, why it is important, highlight important cases in the news and look at why it is such a challenging problem to solve. This includes systems based on AI and ML.

Insurance 93

Insurance Machine Learning Deep Learning Reporting 93

Cloudera

AUGUST 28, 2020

In part 2 of the series focusing on the impact of evolving technology on the telecom industry, we sat down with Vijay Raja, Director of Industry & Solutions Marketing at Cloudera to get his views on how the sector is changing and where it goes next. Hi Vijay, thank you so much for joining us again.

IoT 109

IoT Machine Learning B2B Testing 109

Rita Sallam

APRIL 2, 2023

Extreme weather events and their devastating impacts are more frequent and severe, but which populations are most affected? The first featured analytics and BI platform Gartner Magic Quadrant leaders while the other showcased high interest data science and machine learning platforms. What Data Did We Use?

Optimization 52

Optimization Machine Learning Insurance Risk 52

IBM Big Data Hub

JUNE 26, 2023

Imagine the possibilities of providing text-based queries and opening a world of knowledge for improved learning and productivity. It’s like having a conversation with a very smart machine. It uses vast amounts of internet data, large-scale pre-training and reinforced learning to enable surprisingly human like user transactions.

Risk 71

Risk Deep Learning Metadata Modeling 71

IBM Big Data Hub

DECEMBER 15, 2023

Open-source artificial intelligence (AI) refers to AI technologies where the source code is freely available for anyone to use, modify and distribute. As a result, these technologies quite often lead to the best tools to handle complex challenges across many enterprise use cases.

Deep Learning 71

Deep Learning Experimentation Machine Learning Risk 71

Cloudera

NOVEMBER 1, 2022

It’s no secret that IT modernization is a top priority for the US federal government. These systems also pose security risks, including the inability to use current security best practices, such as data encryption and multi-factor authentication, making these systems particularly vulnerable to malicious cyber activity.

Cost-Benefit 84

Cost-Benefit Data Architecture Risk IoT 84

AWS Big Data

MARCH 27, 2024

Tens of thousands of customers use Amazon Redshift to process large amounts of data, modernize their data analytics workloads, and provide insights for their business users. It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data.

Testing 98

Testing Data Warehouse Metrics Cost-Benefit 98

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. Enterprises can use NLU to offer personalized experiences for their users at scale and meet customer needs without human intervention.

Enterprise 105

Enterprise Interactive Data-driven Key Performance Indicator 105

AWS Big Data

OCTOBER 3, 2023

A data lake is a centralized repository that you can use to store all your structured and unstructured data at any scale. Analytics use cases on data lakes are always evolving. But traditionally, data lakes built on Amazon S3 are immutable and don’t provide the transactional capabilities needed to support changing use cases.

Data Lake 102

Data Lake Metadata Snapshot Recreation/Entertainment 102

Rita Sallam

JUNE 2, 2023

More importantly, extreme weather events and their devastating impacts are more frequent and severe, but which populations are most affected? The first featured analytics and BI platform Gartner Magic Quadrant leaders while the other showcased high interest data science and machine learning platforms.

Optimization 52

Optimization Insurance Machine Learning Risk 52

datapine

SEPTEMBER 27, 2022

Now it’s time to ponder over our hand-picked list of the 20 best SQL learning books available today. Whether you’re a programmer, a data analyst, or a business intelligence end user, knowing the best way to learn SQL is invaluable to anyone dealing with or handling digital data. SQL isn’t just for database administrators (DBAs).

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

DataRobot Blog

AUGUST 18, 2022

AI enables manufacturers and retailers to innovate across their operations and maximize business impact. Collaboration across data science, business, and IT teams throughout the AI lifecycle also greatly impacts AI success. Real-World Examples: AI Use Cases in Supply Chain. Benefits of AI in Supply Chain. Berkan Fidan.

Manufacturing 98

Manufacturing Cost-Benefit Forecasting Data-driven 98

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. Non-symbolic AI can be useful for transforming unstructured data into organized, meaningful information.

Unstructured Data 92

Unstructured Data Data-driven ROI Machine Learning 92

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Digital Transformation 105

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 105

IBM Big Data Hub

OCTOBER 16, 2023

As companies increase their use of artificial intelligence (AI), people are questioning the extent to which human biases have made their way into AI systems. ” Examples of AI bias from real life provide organizations with useful insights on how to identify and address bias. What is bias in artificial intelligence?

Advertising 76

Advertising Machine Learning Data Architecture Cost-Benefit 76

Cloudera

MAY 17, 2021

release blog ). In this blog, we’ll cover the complete range of new capabilities and updates for CDP Private Cloud as a whole (the platform) as well as for both the CDW (Cloudera Data Warehouse) and CML (Cloudera Machine Learning) services. release is a case in point. CDP (Cloudera Data Platform) Private Cloud 1.2

Machine Learning 89

Machine Learning Data Warehouse Data-driven Metrics 89

Cloudera

FEBRUARY 8, 2021

Continuing from my previous blog post about how awesome and easy it is to develop web-based applications backed by Cloudera Operational Database (COD), I started a small project to integrate COD with another CDP cloud experience, Cloudera Machine Learning (CML). . Template applications as starter kits for your use-cases.

Machine Learning 72

Machine Learning Statistics Modeling Dashboards 72

DataRobot Blog

JULY 13, 2022

This marks a full decade since some of the brightest minds in data science formed DataRobot with a singular vision: to unlock the potential of AI and machine learning for all—for every business, every organization, every industry—everywhere in the world. We’re excited to continue this momentum through the rest of 2022 and beyond.

Machine Learning 105

Machine Learning Marketing Data Science Reporting 105

Cloudera

DECEMBER 3, 2021

In part 1 of this blog post, we discussed the need to be mindful of data bias and the resulting consequences when certain parameters are skewed. For example, training an interview screening model using education data often contains gender information. Impact and confidence intervals. We need to get to the root of the problem.

Uncertainty 98

Uncertainty Measurement Metrics Risk 98

Cloudera

AUGUST 18, 2021

In digital transformation projects, it’s easy to imagine the benefits of cloud, hybrid, artificial intelligence (AI), and machine learning (ML) models. ML models powering AI use cases are becoming more and more ubiquitous in a variety of environments, especially at industrial organizations adopting Industry 4.0

Data Lake 87

Data Lake IoT Internet of Things Data-driven 87

IBM Big Data Hub

APRIL 21, 2023

Smallholder farmers, particularly those in arid and drought-prone regions, struggle to manage their farms because they lack access to guidance on how much water to use for specific crops to ensure a good yield.

Technology 90

Technology Testing Forecasting Machine Learning 90

IBM Big Data Hub

JUNE 23, 2023

Perhaps you are using a next-gen Enterprise Resource Planning (ERP) system and an unmatched F&A planning platform that delivers advanced predictive analytics. We can drive meaningful impact with the technology in core finance processes by streamlining tasks and revolutionizing the way F&A professionals work going forward.

Finance 55

Finance Reporting Digital Transformation Interactive 55