Cloudera

JANUARY 5, 2023

Faced with even more pressure to remain resilient and agile amid looming global economic threats, Asia-Pacific (APAC) region businesses are looking to further mobilize emerging technologies such as artificial intelligence (AI) and machine learning that will optimize operational efficiencies and cost savings. .

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

CIO Business Intelligence

MAY 20, 2022

Modernizing a utility’s data architecture. These capabilities allow us to reduce business risk as we move off of our monolithic, on-premise environments and provide cloud resiliency and scale,” the CIO says, noting National Grid also has a major data center consolidation under way as it moves more data to the cloud.

IT 104

IT Digital Transformation Internet of Things Data Architecture 104

Octopai

JULY 9, 2020

Your Guide to Machine Learning Data Lineage for BI: From Source to Target. Too often, data lineage is considered a linear course that does little more than reveal the route data took to arrive at its final destination. It required banks to develop a data architecture that could support risk-management tools.

Insurance 86

Insurance Risk Management Machine Learning Metadata 86

AWS Big Data

JANUARY 31, 2023

In addition, data governance is required to comply with an increasingly complex regulatory environment with data privacy (such as GDPR and CCPA) and data residency regulations (such as in the EU, Russia, and China).

Data Lake 84

Data Lake Data Governance Data Architecture Machine Learning 84

IBM Big Data Hub

JUNE 30, 2022

The right data strategy and architecture allows users to access different types of data in different places — on-premises, on any public cloud or at the edge — in a self-service manner. Learn more about how to design and implement a data strategy that takes advantage of a hybrid multicloud landscape.

Data Strategy 56

Data Strategy Strategy Business Objectives Data-driven 56

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. IBM Data Governance IBM Data Governance leverages machine learning to collect and curate data assets.

Data Governance 142

Data Governance Management Metadata Data Quality 142

CIO Business Intelligence

AUGUST 7, 2023

While the changes to the tech stack are minimal when simply accessing gen AI services, CIOs will need to be ready to manage substantial adjustments to the tech architecture and to upgrade data architecture. Shapers want to develop proprietary capabilities and have higher security or compliance needs.

Modeling 96

Modeling Sales Cost-Benefit Data Processing 96

Cloudera

JANUARY 26, 2022

Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. The hybrid cloud’s premise—two data architectures fused together—gives companies options to leverage those solutions and to address decision-making criteria, on a case-by-case basis. .

Data Processing 83

Data Processing IoT Cost-Benefit Digital Transformation 83

Cloudera

OCTOBER 11, 2022

Risk increases. Data and AI projects cost more and take longer. This leads to the obvious question – how do you do data at scale ? Al needs machine learning (ML), ML needs data science. Data science needs analytics. Because with AI at scale – “it’s the data.”. Innovation stalls.

Snapshot 89

Snapshot Data Science Digital Transformation Metadata 89

Cloudera

AUGUST 11, 2022

War is now fought in physical and cyber-space, and just like in the physical domain, battle staffs require a comprehensive cyber situational understanding of the cyber-domain to mitigate risk – a common operating picture fed by streaming data from all applicable sensors across multiple enclaves.

Predictive Analytics 88

Predictive Analytics Data-driven Data Processing Data Architecture 88

CIO Business Intelligence

AUGUST 10, 2022

These obstacles include technical debt emerging from on-premise systems and muddled business processes, frustrating data silos, and ever more complex regulations. However, organisations that can’t meet these growing expectations for personalised experiences risk losing market share. Those who don’t modernise risk missing out.

Data-driven 52

Data-driven Data Processing Risk Data Architecture 52

CIO Business Intelligence

SEPTEMBER 21, 2023

The phrase “existential risk” is now everywhere—not in the sense the AI would destroy humanity, but that it would make business functions, or even entire companies, obsolete. If you take something slightly risky and make it a thousand times bigger, the risks are amplified,” he says. Artificial Intelligence, Machine Learning

Enterprise 130

Enterprise Consulting Modeling Cost-Benefit 130

Cloudera

SEPTEMBER 28, 2020

This customer’s workloads leverage batch processing of data from 100+ backend database sources like Oracle, SQL Server, and traditional Mainframes using Syncsort. Data Science and machine learning workloads using CDSW. The customer is a heavy user of Kafka for data ingestion. Phase 1: Planning.

Testing 130

Testing Metadata Risk Data Science 130

Alation

FEBRUARY 13, 2020

Following a very successful year of growth in Alation’s business, this announcement marks a milestone for Alation and the enterprise data catalog market. What started six years ago as one startup trying to improve the way people work with data has become a full-blown market category – Machine Learning Data Catalogs.

Enterprise 52

Enterprise Data Lake Machine Learning Data-driven 52

Alation

JULY 30, 2021

As Tom Davenport argues in Analytics at Work, “You can’t be really good at analytics without really good data.” (23). Given that good and trustworthy data is the goal, the technical problem emerges: how do you implement data governance so data is ready for analysis? Take Google as a cautionary tale. million.

Data Warehouse 52

Data Warehouse Data Governance Machine Learning Data-driven 52

Cloudera

AUGUST 28, 2018

From AI models that power retail customer decision engines to utility meter analysis that disables underperforming gas turbines, these finalists demonstrate how machine learning and analytics have become mission-critical to organizations around the world. Enterprise Machine Learning. TECHNICAL IMPACT.

Digital Transformation 64

Digital Transformation Consulting Machine Learning IoT 64

Cloudera

JULY 29, 2022

It supports business objectives like increasing revenues, improving customer experience, and driving profitability by giving business units and users access to relevant data so they can quickly gain the insight they need. Telecom operators can gain a competitive advantage by leveraging the massive volume of data generated on their networks.

Data Architecture 84

Data Architecture Data Strategy Risk Management Strategy 84

BizAcuity

APRIL 6, 2022

Hence, a lot of time and effort should be invested into research and development, hedging and risk management. To predict movements and volatility, machine learning and deep learning algorithms are widely used by organizations to strategize and prepare accordingly. A casino can profit a great deal out of cryptocurrencies.

Data Analytics 52

Data Analytics Analytics B2B Deep Learning 52

Cloudera

AUGUST 22, 2021

And yet, we are only barely scratching the surface of what we can do with newer spaces like Internet of Things (IoT), 5G and Machine Learning (ML)/Artificial Intelligence (AI) which are enabled by cloud. In the past, businesses tended to hesitate to move critical workloads or sensitive data to the cloud, especially to the public cloud.

Cost-Benefit 103

Cost-Benefit Strategy IoT ROI 103

IBM Big Data Hub

JUNE 23, 2023

To accelerate speed-to-market, grow the business with new innovative products and services, gain new and deeper risk insights, and improve customer experience, most companies are also emphasizing digital transformation. Core modernization (processes and technology) is a top priority for every insurer.

Insurance 59

Insurance Cost-Benefit Digital Transformation Marketing 59

CIO Business Intelligence

APRIL 25, 2022

Because NPD is a data company and Person oversees data architecture, “I own the factory,” he says. “So A lot of the work we’re doing now in AI and machine learning was really driven by those meetings with those individuals.”. So I thought it was extra-important that I understood how it actually worked.”.

IT 115

IT Insurance Cost-Benefit Reporting 115

Cloudera

JANUARY 30, 2023

This dark data resides everywhere in the enterprise, siloed in multiple data repositories, from laptops and mobile devices to data lakes and applications. The purpose of this blog isn’t to emphasize the cyber risk of dark data but to spotlight its implications.

IoT 80

IoT Data Architecture Data Lake Machine Learning 80

Cloudera

OCTOBER 19, 2023

While navigating so many simultaneous data-dependent transformations, they must balance the need to level up their data management practices—accelerating the rate at which they ingest, manage, prepare, and analyze data—with that of governing this data.

Data-driven 73

Data-driven Data Architecture Predictive Modeling Digital Transformation 73

Cloudera

SEPTEMBER 7, 2023

But it’s also fraught with risk. This June, for example, the European Union (EU) passed the world’s first regulatory framework for AI, the AI Act , which categorizes AI applications into “banned practices,” “high-risk systems,” and “other AI systems,” with stringent assessment requirements for “high-risk” AI systems.

Insurance 78

Insurance Risk Data-driven Finance 78

AWS Big Data

NOVEMBER 29, 2023

Since then, customer demands for better scale, higher throughput, and agility in handling a wide variety of changing, but increasingly business critical analytics and machine learning use cases has exploded, and we have been keeping pace. At AWS re:Invent, we announced support for LLMs as preview.

Data Warehouse 104

Data Warehouse Data Lake Analytics Machine Learning 104

Alation

MAY 31, 2023

This means that specialized roles such as data architects, which focus on modernizing data architecture to help meet business goals, are increasingly important to support data governance. What is a data architect? Their broad range of responsibilities include: Design and implement data architecture.

Data Governance 52

Data Governance Metadata Data Architecture Data Quality 52

Cloudera

NOVEMBER 25, 2021

Access to the same analytics and machine learning services in private cloud and AWS , enabling the movement of workloads and applications without refactoring. So, what are the common user cases we are seeing for enterprise data clouds? Key advantages to leveraging a hybrid approach include include: . The Power of Two.

Machine Learning 87

Machine Learning IoT Risk ROI 87

IBM Big Data Hub

FEBRUARY 19, 2024

Data insight and AI automation drive cost optimization with predictive maintenance, process automation and workforce optimization. AI automation substantially reduces data security and compliance risks by proactively identifying and analyzing the severity, scope and root cause of threats before they impact the business.

Cost-Benefit 66

Cost-Benefit Data-driven Optimization Marketing 66

IBM Big Data Hub

JULY 13, 2023

Data science tasks such as machine learning also greatly benefit from good data integrity. When an underlying machine learning model is being trained on data records that are trustworthy and accurate, the better that model will be at making business predictions or automating tasks.

Data Quality 66

Data Quality Data Integration Metadata Cost-Benefit 66

Alation

APRIL 14, 2022

Organizations launched initiatives to be “ data-driven ” (though we at Hired Brains Research prefer the term “data-aware”). They strove to ramp up skills in all manner of predictive modeling, machine learning, AI, or even deep learning. It’s not a simple definition.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

Cloudera

NOVEMBER 18, 2020

The technological linchpin of its digital transformation has been its Enterprise Data Architecture & Governance platform. It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. Data Champions . Winner: OVO.

Internet Publishing and Broadcasting 118

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 118

AWS Big Data

APRIL 19, 2023

We needed to be able to write or load data into our data storage solution very quickly without interfering with the reading and querying of the data at the same time.” Nasdaq’s massive data growth meant they needed to evolve their data architecture to keep up.

Data Warehouse 56

Data Warehouse Data Lake Unstructured Data Optimization 56

Cloudera

APRIL 13, 2021

Organizations from across the globe and virtually every industry have used CDP to generate new revenue streams, decrease operational costs, and mitigate risks. Its existing data architecture, however, wasn’t up for the gig. The company turned to CDP to streamline migration of critical data workloads to the public cloud.

Enterprise 73

Enterprise Cost-Benefit Data Warehouse Data Architecture 73

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. Orca Security is an industry-leading Cloud Security Platform that identifies, prioritizes, and remediates security risks and compliance issues across your AWS Cloud estate.

Data Lake 89

Data Lake Analytics Snapshot Optimization 89

CIO Business Intelligence

MARCH 9, 2022

However, it also supports the quality, performance, security, and governance strengths of a data warehouse. As such, the lakehouse is emerging as the only data architecture that supports business intelligence (BI), SQL analytics, real-time data applications, data science, AI, and machine learning (ML) all in a single converged platform.

Data Lake 115

Data Lake Unstructured Data Data Warehouse Data Quality 115

CIO Business Intelligence

JUNE 15, 2022

A recent RPA project at Voya successfully reduced a tax calculation process time by 80%, reducing the risk of human error, to boot. IT was able to implement a cloud-based API and data architecture that enables Fleetcor’s lodging business to integrate multiple data sources. Much of IT work is repetitive.

IT 145

IT Digital Transformation Technology Strategy 145

Cloudera

SEPTEMBER 8, 2021

Putting aside operational efficiency for a moment, let us now consider the constraint “accelerated time frames” If data flows, ETL pipelines, BI reports and machine learning pipelines all need to be rewritten or heavily modified, this can significantly extend the time to value and increase the risk of moving to the cloud.

Data Lake 74

Data Lake Enterprise Data-driven Data Strategy 74