Cloudera

JUNE 29, 2023

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs.

Architecture 84

Architecture Data Artificial Inteligence How To 84

Cloudera

MAY 2, 2022

As digital transformation accelerates, and digital commerce increasingly becomes the dominant form of all commerce, regulators and governments around the world are recognizing the increased need for consumer protections and data protection measures.

Compliance 101

Compliance Cloud Government Architecture 101

Perficient

MARCH 15, 2024

Perficient, a leader in digital transformation, has been included as a company interviewed in Forrester’s recent report, “ Rethink Enterprise Applications Governance : Refocus Applications Governance And High-Performance IT Exploiting New Technologies To Win, Serve, And Retain Customers.”

Government 59

Government Report Artificial Inteligence Applications 59

CIO

DECEMBER 22, 2023

Skills: Skills for this role include knowledge of application architecture, automation, ITSM, governance, security, and leadership. For organizations investing in the cloud, security engineers can help ensure that the services, applications, and data running on cloud platforms are secure and compliant with any government regulations.

Cloud 285

Cloud Company Disaster Recovery Software Engineering 285

Cloudera

SEPTEMBER 6, 2022

Data has continued to grow both in scale and in importance through this period, and today telecommunications companies are increasingly seeing data architecture as an independent organizational challenge, not merely an item on an IT checklist. Why telco should consider modern data architecture. The challenges.

Telecommunications 84

Telecommunications Architecture Data Government 84

CIO

FEBRUARY 2, 2024

As data and analytics become the beating heart of the enterprise, it’s increasingly critical for the business to have access to consistent, high-quality data assets. Customer relationship management (CRM) , supply chain management (SCM) , and compliance all have one thing in common: they rely on an integrated, single view of quality data.

Data 264

Data Course Government Study 264

CIO

JANUARY 20, 2023

In particular, companies that were leaders at using data and analytics had three times higher improvement in revenues, were nearly three times more likely to report shorter times to market for new products and services, and were over twice as likely to report improvement in customer satisfaction, profits, and operational efficiency.

Data 300

Data Compliance Architecture Technical Review 300

CIO

MAY 30, 2024

The course covers principles of generative AI, data acquisition and preprocessing, neural network architectures, natural language processing, image and video generation, audio synthesis, and creative AI applications. Upon completing the learning modules, you will need to pass a chartered exam to earn the CGAI designation. Cost : $4,000

Generative AI 320

Generative AI Artificial Inteligence Programming Azure 320

CIO

OCTOBER 4, 2023

There’s also strong demand for non-certified security skills, with DevSecOps, security architecture and models, security testing, and threat detection/modelling/management attracting the highest pay premiums. AI skills more valuable than certifications There were a couple of stand-outs among those.

Security 300

Security Artificial Inteligence Generative AI Blockchain 300

Cloudera

FEBRUARY 15, 2024

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk.

Insurance 86

Insurance Compliance Technical Review Banking 86

Cloudera

OCTOBER 7, 2021

Within the context of a data mesh architecture, I will present industry settings / use cases where the particular architecture is relevant and highlight the business value that it delivers against business and technology areas. Introduction to the Data Mesh Architecture and its Required Capabilities.

Architecture 124

Architecture Data Security Technical Review 124

CIO

MARCH 18, 2024

Every business in some form or another is looking to adopt and integrate emerging technologies—whether that’s artificial intelligence, hybrid cloud architectures, or advanced data analytics—to help achieve a competitive edge and reach key operational goals. We’re at a critical time for digital transformation.

Disaster Recovery 231

Disaster Recovery Technical Review Systems Review Software Review 231

The Crazy Programmer

FEBRUARY 3, 2024

Investing in tailored clinical, administrative, and analytics solutions can drive efficiency, productivity, and patient care to new levels. Built-in analytics measure KPIs to identify performance gaps and opportunities in real-time. Analytics identify community disease hot spots for targeted intervention campaigns.

Healthcare 130

Healthcare Software Off-The-Shelf Compliance 130

Cloudera

JUNE 27, 2023

The way to achieve this balance is by moving to a modern data architecture (MDA) that makes it easier to manage, integrate, and govern large volumes of distributed data. Offload data from legacy, on-premises analytic platforms and appliances. On-premises analytic systems can often cost more than cloud-based alternatives.

Architecture 62

Architecture Data Government Machine Learning 62

Cloudera

MAY 14, 2024

To attain that level of data quality, a majority of business and IT leaders have opted to take a hybrid approach to data management, moving data between cloud, on-premises -or a combination of the two – to where they can best use it for analytics or feeding AI models. What do we mean by ‘true’ hybrid?

Cloud 96

Cloud Artificial Inteligence Data Center Artificial Intelligence 96

Cloudera

SEPTEMBER 9, 2022

The promise of a modern data lakehouse architecture. This is the promise of the modern data lakehouse architecture. These challenges require architecture changes and adoption of new table formats that can support massive scale, offer greater flexibility of compute engine and data types, and simplify schema evolution. .

Architecture 100

Architecture Innovation Data Open Source 100

CIO

FEBRUARY 5, 2024

Healthcare monitoring: Edge AI facilitates remote patient monitoring, predictive analytics and faster diagnostics, revolutionizing healthcare delivery and patient care. Data governance and compliance: Establishing robust data governance policies and complying with relevant regulations is critical.

Scalability 282

Scalability Artificial Intelligence Artificial Inteligence Healthcare 282

CIO

JULY 28, 2023

Or a hybrid of the two – outlining how it is harvested, prepared, governed, transported, and analyzed. A decentralized approach to data management Data mesh addresses the complexities of scaling data and analytics in a large organization, providing a distributed architecture for data management.

Data 185

Data Compliance Storage Policies 185

Cloudera

AUGUST 30, 2022

Data is the fuel that drives government, enables transparency, and powers citizen services. Data quality issues deter trust and hinder accurate analytics. Disparate systems create issues with transparency and compliance. Modern data architectures. Deploying modern data architectures. Forrester ).

Architecture 78

Architecture Data Artificial Inteligence Artificial Intelligence 78

CIO

APRIL 27, 2023

For technologists with the right skills and expertise, the demand for talent remains and businesses continue to invest in technical skills such as data analytics, security, and cloud. They’re also charged with assessing a business’ current system architecture, and identifying solutions to improve, change, and modernize it.

Technical Review 272

Technical Review Software Review Systems Review Software Engineering 272

Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. Advanced predictive analytics technologies were scaling up, and streaming analytics was allowing on-the-fly or data-in-motion analysis that created more options for the data architect.

Analytics 94

Analytics Network Innovation IoT 94

CIO

JANUARY 24, 2024

The symphony of variation: Exploring types and architectures of Agent Swarms Within the domain of intelligent automation, Agent Swarms exhibit a wide array of diversity and intricacy, mirroring the breadth of tasks they are engineered to tackle. Layered architecture is a commonly used pattern.

Artificial Inteligence 231

Artificial Inteligence Architecture Artificial Intelligence Machine Learning 231

CIO

AUGUST 18, 2022

Those challenges are well-known to many organizations as they have sought to obtain analytical knowledge from their vast amounts of data. Moonfare, a private equity firm, is transitioning from a PostgreSQL-based data warehouse on AWS to a Dremio data lakehouse on AWS for business intelligence and predictive analytics.

Data 349

Data Artificial Inteligence Technical Advisors Technical Review 349

CIO

JUNE 20, 2023

To achieve these goals, IT and business executives must manage challenges across data governance, security, and compliance to protect sensitive customer, citizen, and country data using privacy, access, and security controls. For further details, check out the IDC report on sovereign cloud here.

Technical Review 162

Technical Review Technology Cloud Compliance 162

Cloudera

DECEMBER 20, 2021

But balancing a strong layer of security and governance with easy access to data for all users is no easy task. Another option — a more rewarding one — is to include centralized data management, security, and governance into data projects from the start. It also supports advanced analytics and real-time streaming. .

Government 89

Government Organization Data Banking 89

Cloudera

AUGUST 3, 2021

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Keep data lineage secure and governed.

Analytics 109

Analytics Open Source Government Machine Learning 109

CIO

FEBRUARY 22, 2024

Increasing pressures around environment, social, and governance (ESG) concerns have organizations across industries turning to their CIOs to revamp their strategies for ESG reporting. Applying concepts of solution architecture to truly solve the problem end to end is not really negotiable,” she says. So getting specific is important.”

Software 187

Software Sustainability Report KPI 187

CIO

OCTOBER 24, 2023

Alternatively, they can accelerate transformation by prioritizing force-multiplying initiatives such as aligning data science and data governance programs or improving IT operations with AIops capabilities. Still, certain issues surface time and time again to trouble business outcomes regardless of the strategic objectives.

Technical Advisors 353

Technical Advisors Technical Review Artificial Inteligence Generative AI 353

Agile Engine

DECEMBER 27, 2023

From emerging trends to hiring a data consultancy, this article has everything you need to navigate the data analytics landscape in 2024. What is a data analytics consultancy? Data analytics use cases by industry 7. The data analytics process 8. What to look for when hiring a data analytics consultancy 10.

Big Data 52

Big Data Analytics Data Analysis 52

Cloudera

OCTOBER 1, 2022

Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use. As a result, growing global compliance and regulations for data are top of mind for enterprises that conduct business worldwide. – From a recent episode of the TWIML AI Podcast.

Government 73

Government Artificial Inteligence Enterprise Strategy 73

CIO

OCTOBER 13, 2022

Companies across industries have core requirements related to data security and governance controls, yet different industries have uniquely focused considerations. In healthcare, securing personal health data is key, governed by national standards laid out by the Health Insurance Portability and Accountability Act (HIPAA).

AWS 220

AWS Industry Disaster Recovery Technical Review 220

Cloudera

AUGUST 4, 2021

And if data security tops IT concerns, data governance should be their second priority. Not only is it critical to protect data, but data governance is also the foundation for data-driven businesses and maximizing value from data analytics. Effective data governance must extend beyond the IT organization.

Government 85

Government Data Biotech Storage 85

Cloudera

APRIL 18, 2024

But in many – if not most )– cases the underlying need for regulations outweighs the burden of compliance. DORA is a regulation by the European Commission, made effective in January of 2023, with compliance required by January 2025. What is DORA?

Compliance 76

Compliance Government Open Source Analytics 76

Zensar

FEBRUARY 18, 2020

The sheer breadth of problems that analytics has already solved and promises to solve in the future has driven organizations to invest increasingly in data & analytics initiatives. From my experience of designing and implementing architectures, the most important consideration is business objective. Implementation timeline.

Architecture 40

Architecture Analytics Sustainability System Architecture 40

CIO

OCTOBER 13, 2023

In the next six to 12 months, some of the most popular anticipated uses for gen AI include content creation (42%), data analytics (53%), software development (41%), business insight (51%), internal customer support (45%), product development (40%), security (42%), and process automation (51%).

Generative AI 356

Generative AI Company Machine Learning Artificial Inteligence 356

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. This article explains what a data lake is, its architecture, and diverse use cases. This flexibility makes it easier to accommodate various data types and analytics needs as they evolve over time. What is a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

CIO

AUGUST 22, 2023

It is driven by changes in customer expectations, opportunities to evolve employee experiences, and building differentiating capabilities with data, analytics, and artificial intelligence — all of which have no clear end point, nor are exclusively technology-focused.

Technical Review 231

Technical Review Agile Artificial Intelligence Artificial Inteligence 231