CIO

JUNE 23, 2023

According to the MIT Technology Review Insights Survey, an enterprise data strategy supports vital business objectives including expanding sales, improving operational efficiency, and reducing time to market. The problem is today, just 13% of organizations excel at delivering on their data strategy.

Strategy 290

Strategy Technical Review Data Software Review 290

CIO

AUGUST 7, 2023

Gen AI archetypes: Takers, shapers, and makers One key question CIOs face in determining the best strategic fit for gen AI in their enterprise is whether to rent, buy, or build gen AI capabilities for their various use cases. The focus should be on connecting gen AI models to internal systems, enterprise applications, and tools.

Generative AI 246

Generative AI Off-The-Shelf Architecture Infrastructure 246

TechCrunch

FEBRUARY 2, 2022

With the explosion of data warehouses and advances in machine learning, companies want to build increasingly complex applications that can make use of this data. RudderStack’s architecture, on the other hand, sits on top of a modern data stack and puts data warehouses at the core of its architecture.

Data 204

Data Machine Learning Artificial Inteligence Architecture 204

TechCrunch

MAY 18, 2022

“Coming from engineering and machine learning backgrounds, [Heartex’s founding team] knew what value machine learning and AI can bring to the organization,” Malyuk told TechCrunch via email. But many organizations are struggling to use AI to its fullest.

Open Source 203

Open Source Weak Development Team Artificial Inteligence Data 203

CIO

OCTOBER 20, 2023

The vendor-neutral certification covers topics such as organizational structure, security and risk management, asset security, security operations, identity and access management (IAM), security assessment and testing, and security architecture and engineering.

SCRUM 344

SCRUM Azure AWS Agile 344

CIO

SEPTEMBER 18, 2023

For consumers and enterprises alike, 5G offers the tantalizing promise of faster speeds, lower latency, and greater possibilities for unlocking the power of edge computing — but only if your devices can connect. Tools to facilitate the migration process from legacy network architectures to 5G, and eventually 6G, are critical to operators.

Telecommunications 278

Telecommunications Network Systems Review Software Review 278

Cloudera

OCTOBER 5, 2020

Cloudera Data Platform Powered by NVIDIA RAPIDS Software Aims to Dramatically Increase Performance of the Data Lifecycle Across Public and Private Clouds. This exciting initiative is built on our shared vision to make data-driven decision-making a reality for every business. Compared to previous CPU-based architectures, CDP 7.1

Enterprise 93

Enterprise Cloud Data Machine Learning 93

Altexsoft

AUGUST 29, 2023

Data lakes emerged as expansive reservoirs where raw data in its most natural state could commingle freely, offering unprecedented flexibility and scalability. This article explains what a data lake is, its architecture, and diverse use cases. Watch our video explaining how data engineering works.

Architecture 52

Architecture Data Storage Machine Learning 52

Mobilunity

AUGUST 3, 2021

The cloud offers excellent scalability, while graph databases offer the ability to display incredible amounts of data in a way that makes analytics efficient and effective. Who is Big Data Engineer? Big Data requires a unique engineering approach. Big Data Engineer vs Data Scientist.

Big Data 52

Big Data Data Engineering Engineering Data 52

CIO

JULY 18, 2023

The CIO’s biggest hiring challenge is clear: “There is simply not enough talent to go around,” says Scott duFour, global CIO of business payments company Fleetcor, for whom positions in areas such as AI, cloud architecture, and data science remain the toughest to fill. S&P Global, for example, is entering its AI 2.0

Technical Advisors 246

Technical Advisors Artificial Inteligence Generative AI How To 246

CIO

FEBRUARY 13, 2023

Fifty-two percent of organizations plan to increase or maintain their IT spending this year, according to Enterprise Strategy Group. This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%).

Budget 363

Budget Artificial Inteligence Technical Review VR 363

CIO

SEPTEMBER 2, 2022

Full-stack software engineers are essentially high-level software engineers who are focused on designing, testing, and implementing software applications. Job duties include helping plan software projects, designing software system architecture, and designing and deploying web services, applications, and APIs. Data engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

AUGUST 31, 2022

Full-stack software engineers are essentially high-level software engineers who are focused on designing, testing, and implementing software applications. Job duties include helping plan software projects, designing software system architecture, and designing and deploying web services, applications, and APIs. Data engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

O'Reilly Media - Ideas

DECEMBER 6, 2018

The O’Reilly Data Show Podcast: Alex Wong on building human-in-the-loop automation solutions for enterprise machine learning. Wong and his collaborators are building solutions for enterprises, including tools for generating efficient neural networks and for the performance analysis of networks deployed to edge devices.

Network 59

Network Architecture Tools Machine Learning 59

AWS Machine Learning - AI

JANUARY 26, 2024

Understanding and addressing LLM vulnerabilities, threats, and risks during the design and architecture phases helps teams focus on maximizing the economic and productivity benefits generative AI can bring. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

Artificial Inteligence 118

Artificial Inteligence Generative AI Security Applications 118

UruIT

JUNE 8, 2019

Applying AI and machine learning to creating solutions for your business. Over the past couple of years, we’ve committed ourselves to develop UruIT’s Machine Learning capabilities to offer its advantages to our partners. . Help enterprises and startups make their systems smarter. Data Collection and Preparation.

Machine Learning 40

Machine Learning Artificial Inteligence Systems Review Software Review 40

Cloudera

JUNE 2, 2021

As critical elements in supplying trusted, curated, and usable data for end-to-end analytic and machine learning workflows, the role of data pipelines is becoming indispensable. To keep up, data pipelines are being vigorously reshaped with modern tools and techniques.

Data 93

Data Data Engineering Machine Learning Artificial Inteligence 93

Altexsoft

FEBRUARY 11, 2023

The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority.

Data 87

Data Data Engineering Big Data Architecture 87

Apiumhub

FEBRUARY 6, 2023

We are excited to announce that for the second year in a row , Apiumhub will support the Data Innovation Summit , which will take place on May 11th and 12th in Kistamässan, Stockholm. It’s a fantastic opportunity to network and learn from case studies and outstanding industry leaders.

Innovation 83

Innovation Data Machine Learning Artificial Inteligence 83

Agile Engine

SEPTEMBER 29, 2023

Few people know this, but enterprises often employ a machine learning technique that’s instrumental in particle physics experiments at the Large Hadron Collider. In enterprise projects, gradient boosting is typically a part of forecasting, classification, and ranking solutions.

Video 52

Video Machine Learning Artificial Inteligence Automotive 52

Cloudera

FEBRUARY 25, 2021

Today’s enterprise data science teams have one of the most challenging, yet most important roles to play in your business’s ML strategy. However, only 4% of enterprise executives today report seeing success from their ML investment. The work of a machine learning model developer is highly complex.

Machine Learning 83

Machine Learning Artificial Inteligence Telecommunications Enterprise 83

Cloudera

JUNE 18, 2022

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake.

Data 94

Data Analytics Open Source Architecture 94

Cloudera

OCTOBER 4, 2023

And all of this should ideally be delivered in an easy to deploy and administer data platform available to work in any cloud. This is especially necessary when combining real-time data with prepared data, and adding predictive concepts into our augmented dashboards and reports. Kudu has this covered.

Analytics 90

Analytics Machine Learning Artificial Inteligence Telecommunications 90

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. Backend system automation. Qualifications.

Big Data 107

Big Data Data Engineering Engineering Data Center 107

Cloudera

FEBRUARY 1, 2024

The other half of the equation requires your team’s emphasis to shift to sustained excellence in managing and optimizing your data ecosystem — better known as Day 2 operations. In this blog, we’ll cover the highlights of our recently published Day 2 Operations Guide and why it matters to enterprises.

Backup 85

Backup Cloud Architecture Resources 85

Apiumhub

JUNE 22, 2021

Data Innovation Summit topics. Same as last year, the event offers six workshops (crash-course) themes, each dedicated to a unique domain area: Data-driven Strategy, Analytics & Visualisation, Machine Learning, IoT Analytics & Data Management, Data Management and Data Engineering.

Innovation 84

Innovation Data Technical Review Artificial Inteligence 84

Mobilunity

MAY 8, 2023

An Enterprise Data Lake is a large, centralized repository that stores structured and unstructured data at scale. It is designed to store vast amounts of data from a variety of sources. Moreover an Enterprise Data Lake makes it accessible to data scientists, analysts, and other users across the enterprise.

Engineering 52

Engineering Data Storage AWS 52

Cloudera

AUGUST 3, 2022

By leveraging Hive to apply Ranger FGAC, Spark obtains secure access to the data in a protected staging area. Since Spark has direct access to the staged data, any Spark APIs can be used, from complex data transformations to data science and machine learning. . Fine grained access control (FGAC) with Spark.

Policies 90

Policies Machine Learning Artificial Inteligence Data Engineering 90

CIO

MARCH 27, 2024

“Le azioni successive per il miglioramento della data quality possono essere sia di processo che applicative e includono la definizione di un modello organizzativo intorno alla data governance , assegnando ruoli e compiti chiari alle varie figure coinvolte (data scientist, data engineering, data owner, data steward, eccetera)”.

ChatGPT 130

ChatGPT Government Artificial Inteligence Business Intelligence 130

Cloudera

JUNE 7, 2022

Leading industry analysts rated Cloudera better at analytic and operational data use cases than many well-known cloud vendors. The same study also revealed that 89% of IT decision makers agree that organizations that implement a hybrid architecture as part of its data strategy will gain a competitive advantage.

Data 113

Data Architecture Analytics Government 113

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. ” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared. Building an AI or machine learning model is not a one-time effort.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

O'Reilly Media - Ideas

JULY 1, 2019

But we are also beginning to see AI and machine learning gain traction in areas like customer service and IT. One area I’m particularly interested in is the application of AI and automation technologies in data science, data engineering, and software development. numpy, TensorFlow, etc.).

Software Development 63

Software Development Artificial Inteligence Software Machine Learning 63

Cloudera

SEPTEMBER 10, 2021

By more effectively leveraging its petabytes of current and historical data, the IRS is working to stave off costly fraud and waste, more efficiently deliver on fundamental missions, and better protect taxpayers, including from risks such as identity theft. Pairing High-Tech Keys to Unlock the Power of Data.

Artificial Inteligence 69

Artificial Inteligence Machine Learning Artificial Intelligence Engineering 69

O'Reilly Media - Ideas

MARCH 19, 2020

We use it as a data source for our annual platform analysis , and we’re using it as the basis for this report, where we take a close look at the most-used and most-searched topics in machine learning (ML) and artificial intelligence (AI) on O’Reilly [1]. What’s driving this growth? disproportionately involve Python.

Artificial Inteligence 115

Artificial Inteligence Trends Artificial Intelligence Machine Learning 115

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. Deep Learning.

Big Data 87

Big Data Technology Tools Cloud 87

O'Reilly Media - Ideas

JUNE 4, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. AI and machine learning.

Course 68

Course Training Artificial Inteligence Software Review 68

Cloudera

APRIL 13, 2021

You’ve probably heard it more than once: Machine learning (ML) can take your digital transformation to another level. At Cloudera, we spend countless hours with the world’s largest enterprises understanding where the barriers to successful ML adoption are. It’s a pie-in-the-sky statement that sounds great, right? Optimize later.

Machine Learning 98

Machine Learning Artificial Inteligence Enterprise eBook 98