CIO Business Intelligence

MARCH 11, 2024

These include security and data privacy concerns, low-quality data, reputational risks, and immature technology, to name a few. The problem is complicated here by the following factors : Business analysts have neither a technical background nor an understanding of IT architecture. A combination of factors led to this failure.

Software 91

Software Testing Data-driven Risk 91

DataKitchen

AUGUST 19, 2021

Below is our fourth post (4 of 5) on combining data mesh with DataOps to foster innovation while addressing the challenges of a decentralized architecture. We’ve covered the basic ideas behind data mesh and some of the difficulties that must be managed. Figure 1: Data requirements for phases of the drug product lifecycle.

Data Warehouse 246

Data Warehouse Data Lake Manufacturing Testing 246

CIO Business Intelligence

FEBRUARY 14, 2024

Fundamentals like security, cost control, identity management, container sprawl, data management, and hardware refreshes remain key strategic areas for CIOs to deal with. Data due diligence Generative AI especially has particular implications for data security, Mann says.

IT 143

IT Metadata Data-driven Management 143

IBM Big Data Hub

FEBRUARY 2, 2024

Registrar DNS offerings are either included in a basic domain registration package or sold as a very low-cost add-on. The key thing to remember is that premium DNS services deliver more business value—you’re upgrading because basic solutions no longer fit your requirements.

IT 95

IT Data Processing Enterprise Risk 95

AWS Big Data

MAY 1, 2024

To transform Fujitsu from an IT company to a digital transformation (DX) company, and to become a world-leading DX partner, Fujitsu has declared a shift to data-driven management. To achieve data-driven management, we built OneData, a data utilization platform used in the four global AWS Regions, which started operation in April 2022.

Dashboards 107

Dashboards Data-driven Publishing Cost-Benefit 107

CIO Business Intelligence

JULY 26, 2023

Schools are upgrading and reconstructing their existing network architecture to build leading education platforms and provide comprehensive education services. According to the hospital’s data centre architect, Huawei storage enables “hospital services to remain uninterrupted no matter what happens.”

Technology 98

Technology Digital Transformation Enterprise Strategy 98

IBM Big Data Hub

OCTOBER 26, 2023

This blog focuses on the importance of sustainability reference architecture and how it helps companies meet their sustainability goals, especially meeting the environmental side of the ESG goals. Moreover, siloed software often doesn’t seamlessly integrate into a multi-hybrid cloud corporate architecture.

Reporting 76

Reporting Software Cost-Benefit Strategy 76

CIO Business Intelligence

MAY 30, 2022

The Open Group Architecture Framework (TOGAF) is an enterprise architecture methodology that offers a high-level framework for enterprise software development. The TOGAF Fundamental Content branch of the framework contains all the basics of TOGAF. TOGAF definition. The biggest change to TOGAF is its new modular format.

Enterprise 102

Enterprise Software Digital Transformation ROI 102

Ontotext

JULY 24, 2023

I did some research because I wanted to create a basic framework on the intersection between large language models (LLM) and data management. Examples of these types of applications are content summarization, programming tasks, data extraction, and conversational assistants (chatbots). Most applications are still exploratory.

Modeling 98

Modeling Management Structured Data Data Architecture 98

CIO Business Intelligence

NOVEMBER 23, 2022

Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. Making it easier to evaluate existing architecture against long-term goals.

Enterprise 127

Enterprise Cost-Benefit Digital Transformation Strategy 127

CIO Business Intelligence

MARCH 18, 2024

RAG optimizes LLMs by giving them the ability to reference authoritative knowledge bases outside their training data. “There are tons of documents that are not residing in an SAP system,” Herzig said. Artificial Intelligence, Data Architecture, Data Science, Digital Transformation, Generative AI, IT Leadership, Nvidia, SAP

Digital Transformation 106

Digital Transformation Optimization Modeling Data Science 106

AWS Big Data

MARCH 14, 2024

We discuss the system architectures, deployment pipelines, topic creation, observability, access control, topic migration, and all the issues we faced with the existing infrastructure, along with how and why we migrated to the new Kafka setup and some lessons learned. Our other language stack services use similar wrappers.

Management 104

Management Insurance Optimization Strategy 104

erwin

MAY 7, 2020

Although there is some crossover, there are stark differences between data architecture and enterprise architecture (EA). That’s because data architecture is actually an offshoot of enterprise architecture. The Value of Data Architecture. Data Architecture and Data Modeling.

Data Architecture 131

Data Architecture Enterprise Modeling Sales 131

Rocket-Powered Data Science

JULY 6, 2021

In at least one way, it was not different, and that was in the continued development of innovations that are inspired by data. This steady march of data-driven innovation has been a consistent characteristic of each year for at least the past decade. 2) MLOps became the expected norm in machine learning and data science projects.

Data-driven 279

Data-driven Machine Learning IoT Deep Learning 279

CIO Business Intelligence

JUNE 6, 2022

Developed by The Open Group in 1995, TOGAF is one of the most widely used enterprise architecture frameworks today. TOGAF advises enterprises on how to implement an architecture that best supports stakeholders and the organization. Easier to navigate. One of the biggest overhauls to the TOGAF framework is in its delivery.

Digital Transformation 102

Digital Transformation Enterprise Modeling Technology 102

Smart Data Collective

OCTOBER 11, 2023

We mentioned that Python is one of the best programming languages for data science and AI applications. We are going to cover the basics of the Angular framework and then cover some of the benefits fr AI web applications. Angular’s architecture enables efficient rendering and data binding. What is Angular?

Machine Learning 101

Machine Learning Interactive Predictive Analytics Data-driven 101

CIO Business Intelligence

AUGUST 7, 2023

The basic rule is to invest in creating a unique gen AI capability only when there is a proprietary advantage. It does not allow for integration of proprietary data and offers the fewest privacy and IP protections. In either case, CIOs need to develop pipelines to connect gen AI models to internal data sources.

Modeling 92

Modeling Sales Cost-Benefit Data Processing 92

Rocket-Powered Data Science

FEBRUARY 15, 2023

Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. I suggest that the simplest business strategy starts with answering three basic questions: What? These changes may include requirements drift, data drift, model drift, or concept drift.

Strategy 289

Strategy Experimentation Uncertainty Machine Learning 289

erwin

APRIL 3, 2020

Many organizations start an enterprise architecture practice without a specialized enterprise architecture tool. Four Compelling Reasons for An Enterprise Architecture Tool. Enterprise architecture (EA) provides comprehensive documentation of systems, applications, people and processes. Stop running next to the bike.

Enterprise 139

Enterprise Visualization Consulting Modeling 139

AWS Big Data

MARCH 28, 2024

It’s not always possible to fit data onto a single machine or process it with one single program in a reasonable time frame. This computation has to be done fast enough to provide practical services where programming logic and underlying details (data distribution, fault tolerance, and scheduling) can be separated.

Optimization 78

Optimization IT Big Data Data Processing 78

IBM Big Data Hub

DECEMBER 18, 2023

The timing of these stages vary quite a bit, depending on the scale and complexity of a customer’s DNS architecture and business requirements. Step two: Build out the basics Once the scoping part is complete, we usually progress straight to the build phase. Step five: Migration Now comes the fun part—turning it on!

Risk 77

Risk Metrics Optimization Testing 77

CIO Business Intelligence

SEPTEMBER 7, 2023

CIOs are taking deliberate action by proactively matching workloads and applications with the ideal cloud, and companies are also seeing a proliferation of multi-cloud architectures created by mergers and acquisitions, data sovereignty needs, support for remote work, and shadow IT. They are overwhelmed.

Enterprise 95

Enterprise Management Cost-Benefit Optimization 95

erwin

JANUARY 28, 2021

Enterprise architecture certifications and the professionals who obtain them give organizations more confidence in their enterprise architecture initiatives. Enterprise architecture (EA) helps align business and IT efforts by documenting and mapping data, applications and assets to the functions they support.

Enterprise 103

Enterprise Cost-Benefit Modeling Marketing 103

Ontotext

APRIL 10, 2024

The data ecosystem today is crowded with dazzling buzzwords, all fighting for investment dollars. A survey in 2021 found that a data company was being funded every 45 minutes. Data ecosystems have become jungles and in spite of all the technology, data teams are struggling to create a modern data experience.

Metadata 52

Metadata Data Lake Data Warehouse Data Quality 52

CIO Business Intelligence

JANUARY 25, 2023

To fully harness the benefits of modern network architectures, network operations teams need a deep understanding of how these systems perform. Retiring redundant toolsets and establishing one source of truth for data collection and correlation across multi-vendor technologies. million per year. Avoiding Downtime Yields $2.5M

IT 89

IT Cost-Benefit ROI Software 89

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges.

Data Strategy 66

Data Strategy Strategy Data Warehouse Prescriptive Analytics 66

IBM Big Data Hub

FEBRUARY 15, 2024

Whether it’s a traditional on-prem box, a SaaS solution, or something else, the architecture is basically the same. Routing all your traffic through a load balancer may be convenient architecturally, but it does introduce some significant downsides. First, there’s the problem of choke points.

Marketing 48

Marketing Enterprise IT Technology 48

CIO Business Intelligence

JUNE 28, 2023

In addition, many organizations are adopting new models of security to comply with regulations that require limited, controlled access to data, such as the General Data Protection Regulation, Health Insurance Portability, and Accountability Act, and Payment Card Industry Data Security Standard. What is Zero Trust Security?

Reporting 90

Reporting Insurance Risk Strategy 90

erwin

FEBRUARY 28, 2024

At Sparkle, we’re a holistic data partner helping organizations increase their data maturity in a strategic yet pragmatic way. One of the key ingredients to ensure data is really embedded in an organization, and one of the key enablers to increase the strategic impact of data, is the setup of a successful data governance program.

Metadata 52

Metadata Data Governance Data Quality Technology 52

AWS Big Data

NOVEMBER 15, 2023

It seamlessly consolidates data from various data sources within AWS, including AWS Cost Explorer (and forecasting with Cost Explorer ), AWS Trusted Advisor , and AWS Compute Optimizer. Overview of the BMW Cloud Data Hub At the BMW Group, Cloud Data Hub (CDH) is the central platform for managing company-wide data and data solutions.

Dashboards 91

Dashboards Analytics Metadata Data Warehouse 91

Domino Data Lab

APRIL 17, 2019

Special thanks to Addison-Wesley Professional for permission to excerpt the following “Software Architecture” chapter from the book, Machine in Production. This chapter excerpt provides data scientists with insights and tradeoffs to consider when moving machine learning models to production. Client-Server Architecture.

Machine Learning 87

Machine Learning Software Cost-Benefit Interactive 87

CIO Business Intelligence

MAY 8, 2024

Today, the approach is to find partners that are, on one hand, aligned with the company and bring a similar level of care to source code or data, and on the other, a technological capability and cultural fit. “I When that happens, the former registry needs to give us all the client data in the form of their choosing.

Risk 104

Risk Testing Strategy Technology 104

IBM Big Data Hub

APRIL 26, 2023

There have been many studies and architecture development around cloud scalability that address many areas of how it works and architecting for emerging cloud- native applications. These types of scale-up operations have been happening on-premises in data centers for decades. What is scale-out (or horizontal scaling)?

Cost-Benefit 69

Cost-Benefit Data Processing Software Data-driven 69

CIO Business Intelligence

JUNE 13, 2023

But now many are recognizing that data may be used in different ways and maybe access needs to be more regulated. The biggest worries are coming from websites that recognize how their data may be used to train AI models. Some are afraid that the models built from scraping their site will misuse or misunderstand the data.

IT 140

IT Scorecard Software Modeling 140

AWS Big Data

JULY 14, 2023

FinAuto has a unique position to look across FinOps and provide solutions that help satisfy multiple use cases with accurate, consistent, and governed delivery of data and related services. These datasets can then be used to power front end systems, ML pipelines, and data engineering teams.

Finance 79

Finance Metadata Big Data Recreation/Entertainment 79

CIO Business Intelligence

JUNE 15, 2023

So she needs to keep tabs on the spectacular rise of artificial intelligence (AI) and its use cases, while also monitoring developments across topics that have been around for years, like big data, RFID and cybersecurity. It’s the basic, non-sexy ‘just has to happen’ kind of stuff,” she says.

Insurance 96

Insurance Strategy Management Sales 96

Cloudera

NOVEMBER 1, 2022

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. These are challenges that must be assessed and mitigated and ultimately resolved with data. .

Cost-Benefit 86

Cost-Benefit Data Architecture Risk IoT 86