Cloudera

APRIL 9, 2021

This is part 4 in this blog series. This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The second blog dealt with creating and managing Data Enrichment pipelines.

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Machine Learning Forecasting Manufacturing Predictive Analytics 98

Cloudera

FEBRUARY 8, 2021

This is part 2 in this blog series. You can read part 1, here: Digital Transformation is a Data Journey From Edge to Insight. The first blog introduced a mock connected vehicle manufacturing company, The Electric Car Company (ECC), to illustrate the manufacturing data path through the data lifecycle.

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Manufacturing Data Warehouse Sales Predictive Analytics 118

IBM Big Data Hub

OCTOBER 4, 2022

It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation. Today, AI presents an enormous opportunity to turn data into insights and actions, to amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. IBM Global AI Adoption Index 2022.).

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Metadata Risk Management Risk Experimentation 97

IBM Big Data Hub

APRIL 19, 2024

This blog series discusses the complex tasks energy utility companies face as they shift to holistic grid asset management to manage through the energy transition. Robots and drones perform inspections by using AI-based visual recognition techniques. Risk-based asset strategies align maintenance efforts to balance costs and risks.

Management 85

Management Internet of Things Risk IoT 85

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. Structured data is highly organized and formatted in a way that makes it easily searchable in databases and data warehouses.

Enterprise 93

Enterprise Unstructured Data Contextual Data Data-driven 93

IBM Big Data Hub

MARCH 4, 2024

We have all been witnessing the transformative power of generative artificial intelligence (AI), with the promise to reshape all aspects of human society and commerce while companies simultaneously grapple with acute business imperatives. We refer to this transformation as becoming an AI+ enterprise.

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Enterprise ROI Risk Strategy 96

CIO Business Intelligence

APRIL 15, 2022

In 2017, The Economist declared that data, rather than oil, had become the world’s most valuable resource. Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. AI algorithms identify everything but COVID-19. 25 and Oct.

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Analytics Machine Learning Insurance Testing 145

Smart Data Collective

DECEMBER 9, 2021

Continue to read this blog post for more important details. Big data technology has transformed the web design and e-commerce professions in recent years. Smart web developers recognize the need to lean on analytics and AI technology to make the most of their design efforts. Big Data is Vital to UX Design.

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DataRobot Blog

APRIL 29, 2022

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. Recently, Stanford University released its 2022 AI Index Annual Report , where it showed between 2016 and 2021, the number of bills containing artificial intelligence grew from 1 to 18 in 25 countries.

Risk 111

Risk Modeling IT Risk Management 111

Alation

FEBRUARY 3, 2022

The car manufacturer leverages kaizen to improve productivity. The goal of DataOps is to create predictable delivery and change management of data and all data-related artifacts. DataOps practices help organizations overcome challenges caused by fragmented teams and processes and delays in delivering data in consumable forms.

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IBM Big Data Hub

NOVEMBER 13, 2023

But Docker lacked an automated “orchestration” tool, which made it time-consuming and complex for data science teams to scale applications. A pod operates one or more Linux containers and can run in multiples for scaling and failure resistance.

Machine Learning 107

Machine Learning Data-driven Software Testing 107

Cloudera

JUNE 1, 2021

Cloudera will become a private company with the flexibility and resources to accelerate product innovation, cloud transformation and customer growth. This means we can double down on our strategy – continuing to win the Hybrid Data Cloud battle in the IT department AND building new, easy-to-use cloud solutions for the line of business.

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Uncertainty Cost-Benefit Risk Strategy 144

Cloudera

FEBRUARY 17, 2022

CDP Private Cloud Base is an on-premises version of Cloudera Data Platform (CDP). This new product combines the best of Cloudera Enterprise Data Hub and Hortonworks Data Platform Enterprise along with new features and enhancements across the stack. Provides enterprise grade security and governance. Zookeeper data.

Testing 101

Testing Data Processing Metadata Management 101

Cloudera

DECEMBER 17, 2020

When it comes to machine learning (ML) in the enterprise, there are many misconceptions about what it actually takes to effectively employ machine learning models and scale AI use cases. When many businesses start their journey into ML and AI, it’s common to place a lot of energy and focus on the coding and data science algorithms themselves.

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Machine Learning Data Science Visualization Optimization 82

Cloudera

MARCH 16, 2022

Driven by the rapid convergence of changing circumstances, data, automation and Artificial Intelligence (AI), businesses today have to contend with a whirlwind of internal and external pressures. Failure to act will have grave consequences. Fear of losing jobs to AI is replaced by a focus on investment in reskilling.

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IBM Big Data Hub

MAY 9, 2023

It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation to become business critical for many organizations. While the promise of AI isn’t guaranteed and may not come easy, adoption is no longer a choice. So what is stopping AI adoption today? It is an imperative.

Metadata 71

Metadata Risk Experimentation Dashboards 71

IBM Big Data Hub

AUGUST 15, 2023

Artificial intelligence (AI) adoption is here. Organizations are no longer asking whether to add AI capabilities, but how they plan to use this quickly emerging technology. While 42% of companies say they are exploring AI technology, the failure rate is high; on average, 54% of AI projects make it from pilot to production.

IT 74

IT Data Governance Modeling Cost-Benefit 74

IBM Big Data Hub

SEPTEMBER 11, 2023

On June 7, 1983, a product was born that would revolutionize how organizations would store, manage, process , and query their data: IBM Db2. Codd published his famous paper “ A Relational Model of Data for Large Shared Data Banks.” is a proven, versatile, and AI-ready solution.

Machine Learning 85

Machine Learning Cost-Benefit IoT Data Warehouse 85

Cloudera

NOVEMBER 18, 2021

With so many impactful and innovative projects being carried out by our customers using the Cloudera platform, selecting the winners of our annual Data Impact Awards (DIA) is never an easy task. So, without further ado, it is with great delight that we officially publish the 2021 Data Impact Award winners! Data Lifecycle Connection.

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Data Lake Cost-Benefit Digital Transformation Risk 77

Cloudera

JUNE 27, 2023

During the COVID-19 pandemic, telcos made unprecedented use of data and data-driven automation to optimize their network operations, improve customer support, and identify opportunities to expand into new markets. There are savings to be made in modernizing the data stack itself, in addition to applying data across the enterprise.

Data Architecture 62

Data Architecture Predictive Modeling Data Governance Data-driven 62

Sisense

JUNE 2, 2021

Here at Sisense, we always say that we’re living in a data-driven world, so it’s no surprise to find interesting news and views about the world of data and analytics. Get insights from data faster with AI-driven analytics. COVID-19 has forever altered the way we live and work. Let’s take a look at their findings.

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Analytics Data-driven Informatics Recreation/Entertainment 98

Domino Data Lab

AUGUST 6, 2021

An enterprise starts by using a framework to formalize its processes and procedures, which gets increasingly difficult as data science programs grow. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management.

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Risk Management Risk Modeling Enterprise 64

DataRobot

DECEMBER 6, 2021

While the obvious link between the dinosaurs of the science fiction thriller Jurassic Park and the growing field of AI is a foundation in science, it is the cautionary tale relevant to both that captures our attention. The current generation of AI systems have narrow intelligence. Narrow Intelligence is Brittle. Around the World.

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Data-driven Risk Publishing Risk Management 52

Wayne Yaddow

FEBRUARY 4, 2025

Its EssentialVerifying Data Transformations (Part4) Uncovering the leading problems in data transformation workflowsand practical ways to detect and preventthem In Parts 13 of this series of blogs, categories of data transformations were identified as among the top causes of data quality defects in data pipeline workflows.

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Data Transformation Testing Data Quality Strategy 52

IBM Big Data Hub

APRIL 5, 2024

In this part, we discuss the integrated asset management platform and data exchange that unite business disciplines in different domains in one network. The following figure demonstrates how a platform approach can integrate data flows. Asset data is the basis for the network. Asset data is the basis for the network.

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Management Optimization Risk Predictive Modeling 64

DataRobot Blog

MARCH 31, 2022

Over the past several years, AI has gone from obscurity to headline news but not always for the right reasons. While AI systems have matured from science experiments to vital business-as-usual tools, not every AI project lives up to the hype. The current generation of AI, called narrow AI, is based upon pattern recognition.

Metrics 52

Metrics Risk Data-driven Modeling 52

Alation

SEPTEMBER 7, 2021

This is the last of the 4-part blog series. In the previous blog , we discussed how Alation provides a platform for data scientists and analysts to complete projects and analysis at speed. In this blog we will discuss how Alation helps minimize risk with active data governance. Meet Governance Requirements.

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Data Governance Risk Data Quality Dashboards 59

IBM Big Data Hub

JULY 26, 2023

The emergence of generative AI and foundation models has revolutionized the way every business, across industries, operates at this current inflection point. This is especially true in the HR function, which has been pushed to the forefront of the new AI era.

Digital Transformation 65

Digital Transformation Data-driven Cost-Benefit Strategy 65

Cloudera

APRIL 26, 2023

Data is core to decision making today and organizations often turn to the cloud to build modern data apps for faster access to valuable insights. Can you achieve similar outcomes with your on-premises data platform? These include data recovery service, quota management, node harvesting, optimizing TCO, and more.

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Cost-Benefit Optimization Experimentation Machine Learning 64

IBM Big Data Hub

AUGUST 8, 2023

Preventive maintenance is an approach that prescribes regular maintenance activities to prevent unexpected equipment failures that can result in costly and unsustainable breakdowns. Predictive maintenance takes these activities one step further by using historical and failure data about the asset to predict when it might have a problem.

Internet of Things 65

Internet of Things IoT Cost-Benefit Optimization 65

Andrew White

OCTOBER 20, 2022

So here is my day 4 in the day-in-the-life series of blogs. Gartner’s Value Pyramid and “linking data to outcome” is a very popular workshop tool to help business and non-business folks explore how a business outcome can be de-composed into real data. Governance Organization and Stewardship Role ( day in the life ).

IT 52

IT Strategy Insurance Data-driven 52

IBM Big Data Hub

OCTOBER 26, 2023

Maximo maintains high-value assets with AI and analytics to optimize performance, extend asset lifecycles and reduce downtime and costs. The upgrade is similar to previous upgrades with regards to the data, but the underlying architecture changes need to be done involving ROSA and other dependencies.

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Consulting Data Processing Cost-Benefit Risk 92

AWS Big Data

JULY 19, 2023

Amazon Redshift is a fully managed and petabyte-scale cloud data warehouse that is used by tens of thousands of customers to process exabytes of data every day to power their analytics workload. You can structure your data, measure business processes, and get valuable insights quickly can be done by using a dimensional model.

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Modeling Sales Data Warehouse Snapshot 97

IBM Big Data Hub

APRIL 15, 2024

Data integration stands as a critical first step in constructing any artificial intelligence (AI) application. While various methods exist for starting this process, organizations accelerate the application development and deployment process through data virtualization. Why choose data virtualization?

Analytics 64

Analytics Optimization Data-driven Metrics 64

IBM Big Data Hub

MARCH 27, 2024

In Africa, for example, recurring droughts, floods and cyclones due to climate change might cause crop failures and food insecurity. New low-emission products and services might also help a company compete by winning more sales from environmentally conscious buyers. The state experienced one of its driest years on record in 2022.

Risk 60

Risk Forecasting Insurance Strategy 60

IBM Big Data Hub

AUGUST 1, 2022

Data is everywhere. The thing is, we’re so focused on conquering our data that we often forget this battle to understand it has been one we’ve been fighting since the beginning of time. However, we’ve always overcome this and been able to synthesize and communicate our data findings throughout the years. . ” .

Unstructured Data 52

Unstructured Data Deep Learning Data Quality Data Architecture 52

Alation

AUGUST 5, 2021

What is Data Quality? Data quality is defined as: the degree to which data meets a company’s expectations of accuracy, validity, completeness, and consistency. By tracking data quality , a business can pinpoint potential issues harming quality, and ensure that shared data is fit to be used for a given purpose.

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