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

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 291

Strategy Technical Review Data Software Review 291

Apiumhub

JUNE 22, 2021

We are super excited to participate in the biggest and the most influential Data, AI and Advanced Analytics event in the Nordics! Data Innovation Summit ! There our Gema Parreño – Data Science expert at Apiumhub gives a talk about Alignment of Language Agents for serious video games. Data Innovation Summit topics.

Innovation 82

Innovation Data Technical Review Artificial Inteligence 82

CIO

JUNE 10, 2024

For example, Napoli needs conventional data wrangling, data engineering, and data governance skills, as well as IT pros versed in newer tools and techniques such as vector databases, large language models (LLMs), and prompt engineering.

Generative AI 130

Generative AI 130

CIO

FEBRUARY 13, 2023

Upgrading cloud infrastructure is critical for deploying broad AI initiatives more quickly, so that’s a key area where investments are being made this year. Cold: On-prem infrastructure As they did in 2022, many IT leaders are reducing investments in data centers and on-prem technologies. “We

Budget 363

Budget Artificial Inteligence Technical Review VR 363

CIO

APRIL 12, 2023

Machine learning models (algorithms that comb through data to recognize patterns or make decisions) rely on the quality and reliability of data created and maintained by application developers, data engineers, SREs, and data stewards.

Artificial Inteligence 363

Artificial Inteligence Artificial Intelligence Machine Learning Agile 363

CIO

SEPTEMBER 18, 2023

“Telcos are typically very good at building new networks but where we have fallen short is replacing and migrating customers from the old network to the new networks and infrastructure,” says Sumit Singh, vice president of network systems, planning, and engineering at Verizon.

Telecommunications 279

Telecommunications Network Systems Review Software Review 279

TechCrunch

JUNE 2, 2021

The core idea behind Iterative is to provide data scientists and data engineers with a platform that closely resembles a modern GitOps-driven development stack. After spending time in academia, Iterative co-founder and CEO Dmitry Petrov joined Microsoft as a data scientist on the Bing team in 2013. “DVC ”

Artificial Inteligence 249

Artificial Inteligence Machine Learning Open Source Data Engineering 249

CIO

SEPTEMBER 2, 2022

In-demand skills for the role include programming languages such as Scala, Python, open-source RDBMS, NoSQL, as well as skills involving machine learning, data engineering, distributed microservices, and full stack systems. Data engineer. DevOps helps bring both ideologies together to find a balance between the two goals.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

AUGUST 31, 2022

In-demand skills for the role include programming languages such as Scala, Python, open-source RDBMS, NoSQL, as well as skills involving machine learning, data engineering, distributed microservices, and full stack systems. Data engineer. DevOps helps bring both ideologies together to find a balance between the two goals.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

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. Excellent attention to detail.

Big Data 107

Big Data Data Engineering Engineering Data Center 107

Netflix Tech

MARCH 5, 2019

This freedom allows teams and individuals to move fast to deliver on innovation and feel responsible for quality and robustness of their delivery. All these micro-services are currently operated in AWS cloud infrastructure. In the next section, we will highlight some high level areas of focus in each dimension of our infrastructure.

Infrastructure 73

Infrastructure Scalability Cloud Data 73

CIO

JANUARY 17, 2023

Building and managing infrastructure yourself gives you more control — but the effort to keep it all under control can take resources away from innovation in other areas. The data team that built the first version of FiveStars’ data infrastructure started on the sales and marketing side of the business, not IT.

Data Engineering 315

Data Engineering Engineering Data CTO Coach 315

InnovationM

APRIL 25, 2024

Runpod emerges as a beacon of innovation in cloud computing, specifically tailored to empower AI, ML, and general computational tasks. Engineered to harness the power of GPU and CPU resources within Pods, it offers a seamless blend of efficiency and flexibility through serverless computing options. Why to use RunPod?

Artificial Inteligence 52

Artificial Inteligence Serverless Scalability Resources 52

Cloudera

DECEMBER 13, 2023

He is responsible for introducing common tools and processes and enhancing the technology, tools and data available to employees, empowering them to use their expertise and creativity in innovative ways. LGIM’s data ecosystem had become fragmented over time as it had grown. Please read the full story here.

CTO 90

CTO Scalability Architecture Analytics 90

Newgen Software

JUNE 5, 2024

She asks the IT team to connect to relevant data sources and help her with required data extraction. She needs to make sure the data engineering/scientist team validates the data and has the required infrastructure to start the modeling process.

Banking 52

Banking Artificial Inteligence Machine Learning Generative AI 52

CIO

JULY 18, 2023

S&P Global also needs complementary skills in software architecture, multicloud, and data engineering to achieve its AI aims. “It At Merchants Fleet, building out a modern data and analytics infrastructure to support the fleet management solutions provider’s hypergrowth over the past three years has been a top priority.

Technical Advisors 246

Technical Advisors Artificial Inteligence Generative AI How To 246

Cloudera

FEBRUARY 1, 2024

Delivering transformational innovation and accurate business decisions requires harnessing the full potential of your organization’s entire data ecosystem. Ultimately, this boils down to how reliable and trustworthy the underlying data that feeds your insights and applications is.

Backup 83

Backup Architecture Cloud Resources 83

TechCrunch

NOVEMBER 28, 2022

Computer vision is being deployed at scale across industries, delivering innovation and breakthroughs, and a fast growing $50 billion market. “This is where V7’s AI Data Engine shines. Investors are betting that shortening the time between AI models being devised and applied will drive more business for the company.

Training 240

Training Data Technical Review Artificial Inteligence 240

O'Reilly Media - Data

APRIL 3, 2018

Data Science and Machine Learning sessions will cover tools, techniques, and case studies. This year’s sessions on Data Engineering and Architecture showcases streaming and real-time applications, along with the data platforms used at several leading companies. Data platforms. Privacy and security.

Artificial Inteligence 154

Artificial Inteligence Machine Learning Company Case Study 154

Battery Ventures

OCTOBER 7, 2020

Many companies built on the tenets of OpenCloud are actually benefitting from the current environment: The recession has made organizations more focused than ever on staying nimble and rapidly innovating to serve customers, which usually requires creating and deploying cloud-based software.

Open Source 144

Open Source Cloud Google Cloud Azure 144

Cloudera

NOVEMBER 1, 2022

Translation: Government agencies — especially those under the Department of Defense (DoD) — have use cases that require data storage and analytic workloads to be maintained on premises to retain absolute control of data security, privacy, and cost predictability. . It’s here where the private cloud delivers. That seems straightforward.

Cloud 90

Cloud Government Storage Analytics 90

Trigent

AUGUST 26, 2022

Trigent offers end-to-end consulting services, design, development, and managed services across Infrastructure, Cloud, Mobility, BI, Analytics, Product Engineering, Quality Engineering, IoT, Data Engineering, and Artificial Intelligence. Transform your business with Trigent Software.

Software Review 52

Software Review Software Technical Review Artificial Inteligence 52

Perficient

AUGUST 2, 2023

As a senior technical consultant, I help clients better leverage their data. I assist and advise teams when migrating data and infrastructure to Google Cloud Platform (GCP). When I first joined the team, our client needed a GCP crash course and asked me to fulfill the requirements of a data engineer.

Technical Advisors 52

Technical Advisors Technical Review Google Cloud Culture 52

AWS Machine Learning - AI

JANUARY 26, 2024

We also discuss common security concerns that can undermine trust in AI, as identified by the Open Worldwide Application Security Project (OWASP) Top 10 for LLM Applications , and show ways you can use AWS to increase your security posture and confidence while innovating with generative AI.

Artificial Inteligence 115

Artificial Inteligence Generative AI Security Applications 115

Exadel

FEBRUARY 20, 2023

The technological landscape has evolved to include AI assistants, self-driving cars, and machine learning solutions that process data in a blink of an eye. AI is by far the technology that can drive innovation forward, and you should keep up. Cloud-based AI services make this possible.

Artificial Inteligence 52

Artificial Inteligence Cloud Machine Learning Azure 52

Cloudera

JULY 27, 2021

Data has become the critical fuel that drives growth and automation, the twin guide points for an industry stretching for new revenue sources and cost reduction, all the while maintaining governance on precious customer data. Edge analytics by definition require in-network deployment.

Telecommunications 64

Telecommunications Data Architecture Big Data 64

Erik Bernhardsson

DECEMBER 15, 2020

Note: I'm going to use the term “tool” throughout this post to refer to all kinds of things: frameworks, libraries, development processes, infrastructure.). For instance: internet first created DVD-by-mail, but the real internet-native innovation was streaming video.). The insatiable demand for software.

Software Engineering 304

Software Engineering Engineering Tools Software 304

Cloudera

APRIL 14, 2021

What is Cloudera Data Engineering (CDE) ? Cloudera Data Engineering is a serverless service for Cloudera Data Platform (CDP) that allows you to submit jobs to auto-scaling virtual clusters. CDE enables you to spend more time on your applications, and less time on infrastructure. References: [link].

Data Engineering 84

Data Engineering Engineering Data Serverless 84

Progress

DECEMBER 30, 2019

AWS Amplify is a good choice as a development platform when: Your team is proficient with building applications on AWS with DevOps, Cloud Services and Data Engineers. You’re developing a greenfield application that doesn’t require any external data or auth systems. You have existing backend services developed on AWS.

AWS 52

AWS DevOps Disaster Recovery Serverless 52

Progress

DECEMBER 30, 2019

AWS Amplify is a good choice as a development platform when: Your team is proficient with building applications on AWS with DevOps, Cloud Services and Data Engineers. You’re developing a greenfield application that doesn’t require any external data or auth systems. You have existing backend services developed on AWS.

AWS 52

AWS DevOps Disaster Recovery Serverless 52

TIBCO - Connected Intelligence

JANUARY 8, 2021

These new technologies help delight your customers, speed innovation, and optimize operations. But migrating from your legacy IT infrastructure can be risky. Most people think of data virtualization as a high productivity, low-cost way to integrate data for analytics. Seven Ways Data Virtualization Accelerates Migration.

Virtualization 38

Virtualization Data Analytics Infrastructure 38

TIBCO - Connected Intelligence

DECEMBER 11, 2020

Home to over 27 million people and comprising five sovereign countries including Denmark, Finland, Iceland, Norway, and Sweden, I find the Nordics to be one of the most interesting and innovative regions in the world. We are a Nordic IT service company enabling our client’s data-driven business transformation. “I Hallå Björn.

Business Transformation 52

Business Transformation Data Analytics Hotels 52

Netflix Tech

MARCH 2, 2021

At Netflix, our data scientists span many areas of technical specialization, including experimentation, causal inference, machine learning, NLP, modeling, and optimization. Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group.

Artificial Inteligence 83

Artificial Inteligence Machine Learning Culture Analysis 83

TIBCO - Connected Intelligence

APRIL 15, 2021

Data-driven insight is a competitive advantage. Today, nearly every business transformation—be it greater customer intimacy, more optimized operations, or faster innovation—is fueled by data-driven insight. For highest ROI, link your data and analytics investments to your business transformation strategy. Embrace agile.

Analytics 41

Analytics Development Team Review Technical Review Data 41

TIBCO - Connected Intelligence

MARCH 5, 2020

The business value of data continues to rise – Every business transformation today—be it greater customer intimacy, more optimized operations, faster innovation, and more—is fueled by data. In part two, I provide my list of 10 sure bet technology trends you can count on to continue. 10 Technology Trends You Can Count On In 2020.

Technology 42

Technology Games Trends IoT 42

O'Reilly Media - Ideas

MARCH 31, 2020

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. Consumer product management is typically more bottom-up, driven by large volumes of user feedback and usage tracking data.

Product Management 138

Product Management Artificial Inteligence Machine Learning Software Review 138