Altexsoft

FEBRUARY 11, 2023

In the article, we explore the role of a data architect, discuss the responsibilities and required skills, and share what kind of companies may need such a specialist. What is a data architect? What is the main difference between a data architect and a data engineer? Feel free to enjoy it.

Data 87

Data Data Engineering Big Data Architecture 87

CIO

JULY 6, 2023

“Our tier strategy resembles a three-layer cake and each of these layers targets different enterprise customers depending on their needs,” said Karan Batta, vice president of Oracle Cloud Infrastructure (OCI).

Generative AI 283

Generative AI Artificial Inteligence Strategy Google Cloud 283

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Graph technologies and analytics.

Big Data 86

Big Data Technology Tools Cloud 86

CTOvision

MAY 1, 2014

IO is the global leader in software-defined data centers. IO has pioneered the next-generation of data center infrastructure technology and Intelligent Control, which lowers the total cost of data center ownership for enterprises, governments, and service providers. Primary Responsibilities.

Big Data 107

Big Data Data Engineering Engineering Data Center 107

TechCrunch

MAY 26, 2022

“To enable large data modernization and transformation projects, data lineage is a key component to solving the complexity of vast data infrastructure layers and tracking the flow of data within an organization.” Image Credits: Manta.

Data 228

Data Weak Development Team Enterprise Analysis 228

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.

Cloud 86

Cloud Government Storage Analytics 86

Kentik

APRIL 12, 2023

Data scientists play a critical role in the DataOps ecosystem, leveraging advanced analytics and machine learning techniques to gain insights from large and complex data sets. DataOps strategies require a robust data infrastructure, including data warehouses, data lakes, caches, and other data storage and processing systems.

Network 52

Network Data Engineering Machine Learning Artificial Inteligence 52

CIO

JULY 14, 2023

CIOs want to take advantage of this but on their terms—and their own data. As so often happens with new technologies, the question is whether to build or buy. To get good output, you need to create a data environment that can be consumed by the model,” he says.

Generative AI 246

Generative AI Artificial Inteligence Open Source ChatGPT 246

TechCrunch

MAY 10, 2022

” The market for synthetic data is bigger than you think. Indeed, while worldwide spending on AI technologies was estimated at $35.8 billion in 2019, nearly 80% of companies have seen their AI projects stall as a result of issues with data quality and a lack of confidence in AI systems, according to an Alegion report.

Artificial Inteligence 235

Artificial Inteligence Machine Learning Off-The-Shelf Training 235

CIO

JULY 18, 2023

As technology continues to advance at a rapid pace, the demand for qualified individuals has soared,” Chan says. CIO.com’s 2023 State of the CIO survey recently zeroed in on the technology roles that IT leaders find the most difficult to fill, with cybersecurity, data science and analytics, and AI topping the list.

Technical Advisors 246

Technical Advisors Artificial Inteligence Generative AI How To 246

O'Reilly Media - Ideas

JANUARY 8, 2019

From infrastructure to tools to training, Ben Lorica looks at what’s ahead for data. Whether you’re a business leader or a practitioner, here are key data trends to watch and explore in the months ahead. Increasing focus on building data culture, organization, and training. Cloud for data infrastructure.

Trends 87

Trends Data Machine Learning Artificial Inteligence 87

O'Reilly Media - Ideas

JANUARY 29, 2019

In 2018, we decided to run a follow-up survey to determine whether companies’ machine learning (ML) and AI initiatives are sustainable—the results of which are in our recently published report, “ Evolving Data Infrastructure.”. Data scientists and data engineers are in demand.

Sustainability 85

Sustainability Company Machine Learning Artificial Inteligence 85

Hu's Place - HitachiVantara

APRIL 11, 2019

Data breaches are common, rogue data sets propagate in silos, and companies’ data technology often isn’t up to the demands put on it." Introducing DataOps Today more customer are focusing on the operational aspects of data rather than on the fundamentals of capturing, storing and protecting data.

Data Engineering 81

Data Engineering Machine Learning Artificial Inteligence Technical Review 81

TIBCO - Connected Intelligence

MARCH 5, 2020

Over the past sixty years, technology has redefined how people live and work, how commerce occurs, how citizens and governments engage, and so much more. With digital transformation critical to every organization’s survival, it makes sense that organizations want to leverage and gain advantage from technology advancements.

Technology 42

Technology Games Trends IoT 42

Mobilunity

MAY 8, 2023

Moreover an Enterprise Data Lake makes it accessible to data scientists, analysts, and other users across the enterprise. Key zones of an Enterprise Data Lake Architecture typically include ingestion zone, storage zone, processing zone, analytics zone, and governance zone. Cost Savings. Scalability. Continuous Support.

Engineering 52

Engineering Data Storage AWS 52

Cloudera

SEPTEMBER 10, 2021

Across the federal government, agencies are struggling to identify, organize, analyze, and act on troves of data. It’s a problem that leaders are working actively to tackle, but they’re in a race against immeasurable volumes of data that is continuously being generated in perpetuity in stores known and unknown.

Artificial Inteligence 67

Artificial Inteligence Machine Learning Artificial Intelligence Engineering 67

AWS Machine Learning - AI

JANUARY 26, 2024

Refresh your understanding of the AWS Shared Responsibility Model as it applies to infrastructure, services, and data when you build LLM solutions. In addition to awareness, your teams should take action to account for generative AI in governance, assurance, and compliance validation practices.

Artificial Inteligence 115

Artificial Inteligence Generative AI Security Applications 115

Cloudera

JUNE 7, 2022

Only Cloudera has the power to span multi-cloud and on-premises with a hybrid data platform. We deliver cloud-native data analytics across the full data lifecycle – data distribution, data engineering, data warehousing, transactional data, streaming data, data science, and machine learning – that’s portable across infrastructures.

Data 109

Data Architecture Analytics Government 109

Apiumhub

JUNE 22, 2021

Data Innovation Summit topics. Data Innovation Summit: networking platform. The Data Innovation Summit is a great opportunity not only to learn but to meet your peers from other organisations, industries and sectors in the Nordic and beyond.

Innovation 84

Innovation Data Technical Review Artificial Inteligence 84

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Cloud-based spending will reach 60% of all IT infrastructure and 60-70% of all software, services, and technology spending by 2020. In 2019, CIOs will have to optimize applications of the newest cloud technology in response to their requirements.

Cloud 78

Cloud Google Cloud Azure AWS 78

Lacework

NOVEMBER 1, 2023

In many cases we see that customers prefer to have their data stored and managed locally in their home region, both for reasons of regulatory compliance and also business preference. The data replication may be performed leveraging the warehouse recovery tool, which is performed over a secure infrastructure using end to end encryption.

System Design 52

System Design Systems Review System Data 52

O'Reilly Media - Ideas

JANUARY 25, 2024

While we like to talk about how fast technology moves, internet time, and all that, in reality the last major new idea in software architecture was microservices, which dates to roughly 2015. We’re skeptical about things like job displacement, at least in technology. This has been a strange year. What will those changes be?

Trends 116

Trends Technical Review Technology Artificial Inteligence 116

Altexsoft

AUGUST 25, 2020

That’s why a data specialist with big data skills is one of the most sought-after IT candidates. Data Engineering positions have grown by half and they typically require big data skills. Data engineering vs big data engineering. Regular data processing. Big data processing.

Big Data 75

Big Data Data Engineering Engineering Data 75

O'Reilly Media - Ideas

APRIL 19, 2021

Not surprisingly, computers, electronics, and technology topped the charts, with 17% of the respondents. That’s a respectable number by itself, but we have to ask: Will AI play a role in rebuilding our frail and outdated energy infrastructure, as events of the last few years—not just the Texas freeze or the California fires—have demonstrated?

Enterprise 144

Enterprise Survey Weak Development Team Education 144

Cloudera

AUGUST 31, 2021

Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics. It has a consistent framework that secures and provides governance for all data and metadata on private clouds, multiple public clouds, or hybrid clouds. Conclusion.

Data 82

Data Analytics Cloud Technical Review 82

Altexsoft

JULY 23, 2020

When speaking of machine learning, we typically discuss data preparation or model building. Much less often the technology is mentioned in terms of deployment. Living in the shadow, this stage, according to the recent study , eats up 25 percent of data scientists time. Data validation. Data preparation.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

Cloudera

DECEMBER 10, 2020

These file formats not only help avoid data duplication into proprietary storage formats but also provide highly efficient storage formats. Multiple analytical engines (data warehousing, machine learning, data engineering, and so on) can operate on the same data in these file formats.

Data 98

Data Technical Review Storage Systems Review 98

TIBCO - Connected Intelligence

APRIL 15, 2021

Compressing your data capture to analyze to get insight to decide to act cycle is key. Data related regulations continue to grow. Compliance with new regulations is not optional as governments respond to citizens’ privacy protections, data security, AI/ML bias, and other data-related threats. Click To Tweet.

Analytics 41

Analytics Development Team Review Technical Review Data 41

Cloudera

NOVEMBER 19, 2020

November 15-21 marks International Fraud Awareness Week – but for many in government, that’s every week. From bogus benefits claims to fraudulent network activity, fraud in all its forms represents a significant threat to government at all levels. Technology can help. The Public Sector data challenge.

Government 116

Government Artificial Inteligence Machine Learning Data 116

Existek

JANUARY 11, 2022

The cloud computing market covers many areas like business processes, infrastructure, platform, security, management, analytics supported by cloud providers. Governments . Governments. Data and analytics. Hybrid cloud and infrastructure. Security and governance. Retail – Starbucks, Walgreens, ASOS.

Azure 52

Azure AWS Cloud How To 52

O'Reilly Media - Ideas

MARCH 1, 2023

Our data shows us what O’Reilly’s 2.8 That’s a better measure of technology trends than anything that happens among the Twitterati. But other technology topics (including some favorites) are hitting plateaus or even declining. What’s real, and what isn’t? While we don’t discuss the economy as such, it’s always in the background.

Trends 134

Trends Technical Review Technology Software Review 134

TIBCO - Connected Intelligence

DECEMBER 11, 2020

Like the rest of the world, data is transforming the landscape of how Nordics citizens live and work, how commerce occurs, how its governments engage, and so much more. Over time, as TIBCO added analytics capabilities and a broad set of data management solutions, we also added these to our solution mix.”. “I

Business Transformation 52

Business Transformation Data Analytics Hotels 52

O'Reilly Media - Ideas

JULY 28, 2020

Fair warning: if the business lacks metrics, it probably also lacks discipline about data infrastructure, collection, governance, and much more.) The Ethical OS also provides excellent tools for thinking through the impact of technologies. This is particularly true for AI products.

Marketing 145

Marketing Weak Development Team Metrics UI/UX 145

Altexsoft

MARCH 2, 2023

As the amount of enterprise data continues to surge, businesses are increasingly recognizing the importance of data governance — the framework for managing an organization’s data assets for accuracy, consistency, security, and effective use. Projections show that the data governance market will expand from $1.81

Government 52

Government Tools Data Weak Development Team 52

TIBCO - Connected Intelligence

JUNE 16, 2021

Here are a few of the typical business objectives: Revenue growth : To develop new business, use customer data as a competitive advantage and differentiator. Business insight : Facilitate better strategic and operational business decision-making by providing governed, documented, and easy access to current and historical customer data.

Data 29

Data Weak Development Team Virtualization Compliance 29

Apiumhub

APRIL 1, 2021

The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment. and the technologies that are used – statistics, machine learning, and database.

Artificial Inteligence 52

Artificial Inteligence Data Handbook Machine Learning 52

Cloudera

FEBRUARY 15, 2024

Risk management and governance: Regulators are increasingly focusing on risk governance, risk sustainability, and the detection, mitigation, tracking, and remediation of threat actors. Financial institutions must demonstrate robust risk accountability and governance, as well as maintain consumer protections.

Insurance 85

Insurance Compliance Technical Review Banking 85