CIO

AUGUST 2, 2023

A data and analytics capability cannot emerge from an IT or business strategy alone. With both technology and business organization deeply involved in the what, why, and how of data, companies need to create cross-functional data teams to get the most out of it. What are some examples of data solutions in each of those buckets?

Data 246

Data Architecture Government Strategy 246

CIO

APRIL 12, 2023

By George Trujillo, Principal Data Strategist, DataStax I recently had a conversation with a senior executive who had just landed at a new organization. He had been trying to gather new data insights but was frustrated at how long it was taking. Real-time AI involves processing data for making decisions within a given time frame.

Artificial Inteligence 363

Artificial Inteligence Artificial Intelligence Machine Learning Agile 363

Xebia

DECEMBER 22, 2023

Therefore, we have selected three different views on JIRA data that have proven their value in different organizations. Please remember, that data, while powerful, is context-dependent and only shows a part of the truth. The post Insights from your JIRA data to help improve your team appeared first on Xebia.

Weak Development Team 244

Weak Development Team Data Trends Software Review 244

InfoQ Culture Methods

FEBRUARY 25, 2021

Machine learning is a powerful new tool, but how does it fit in your agile development? Developing ML with agile has a few challenges that new teams coming up in the space need to be prepared for - from new roles like Data Scientists to concerns in reproducibility and dependency management. By Jay Palat.

Machine Learning 125

Machine Learning Artificial Inteligence Agile Development 125

InfoQ Culture Methods

JULY 17, 2020

To mix the power of the data and the importance of people to offer business intelligence is a key point nowadays. To be agile is to adapt to today's market. Innovation is not only about the most advanced technology, management and processes are the new era of startups' innovation. By Alejandro Ruiz.

Agile 129

Agile Innovation Culture Business Intelligence 129

TechCrunch

FEBRUARY 7, 2022

In the current environment, businesses are now tasked with balancing the push toward recovery and developing the agility required to stay on top of reemerging COVID-19 obstacles. Location data is absolutely critical to such strategies, enabling leading enterprises to not only mitigate challenges, but unlock previously unseen opportunities.

Business Intelligence 230

Business Intelligence AWS Sustainability Data Engineering 230

CIO

OCTOBER 1, 2022

The partners say they will create the future of digital manufacturing by leveraging the industrial internet of things (IIoT), digital twin , data, and AI to bring products to consumers faster and increase customer satisfaction, all while improving productivity and reducing costs. Data and AI as digital fundamentals.

Artificial Inteligence 363

Artificial Inteligence Azure IoT Analytics 363

Cloudera

JUNE 2, 2021

Data pipelines are in high demand in today’s data-driven organizations. 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.

Data 93

Data Data Engineering Machine Learning Artificial Inteligence 93

Xebia

MARCH 10, 2021

Many organisations have a new ambition to become a data-driven organisation. In essence, this means the organisation wants to make better business decisions based on insights provided by data [4]. Data itself is not able to advise a business for better decision-making. Data & Analytics as a separate business domain.

DevOps 130

DevOps Data Analytics Policies 130

CIO

JUNE 28, 2023

These circumstances have induced uncertainty across our entire business value chain,” says Venkat Gopalan, chief digital, data and technology officer, Belcorp. “As The R&D laboratories produced large volumes of unstructured data, which were stored in various formats, making it difficult to access and trace.

Technical Review 262

Technical Review Analytics Innovation Artificial Intelligence 262

CIO

JUNE 3, 2024

Data engineering, prompt engineering, and coding will be the IT skills most in demand, but critical thinking, creativity, flexibility, and the ability to work in teams will also be highly valued, according to the survey. Agility is very important, because this is so new, and technological advances are going to come fast.”

Generative AI 195

Generative AI Technical Review Technical Advisors Software Review 195

Capgemini

NOVEMBER 14, 2022

The role of self-service BI for business agility Myles Suer 9 Nov 2022. Facebook Twitter Linkedin The move to self-service BI is driven by an organization’s need for agility in support of a hybrid workforce. But this requires data accessibility for every worker. But how to get there, and become a self-service data master?

Agile 52

Agile Technical Review Systems Review Artificial Intelligence 52

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

Cloudera

DECEMBER 20, 2022

Efficient use of data will therefore be critical to improving the competitiveness and productivity of assets, both traditional and renewable generation. Data efficiency in renewables. Effective use of data can have a direct impact on the cash flow of wind and solar generation companies in areas such as real-time decision making.

Energy 83

Energy Analytics Data Machine Learning 83

CIO

DECEMBER 1, 2022

Tapped to guide the company’s digital journey, as she had for firms such as P&G and Adidas, Kanioura has roughly 1,000 data engineers, software engineers, and data scientists working on a “human-centered model” to transform PepsiCo into a next-generation company. But there is more room to go.

Analytics 362

Analytics KPI IoT Azure 362

CIO

DECEMBER 16, 2022

The top-earning skills were big data analytics and Ethereum, with a pay premium of 20% of base salary, both up 5.3% Other non-certified skills attracting a pay premium of 19% included data engineering , the Zachman Framework , Azure Key Vault and site reliability engineering (SRE). in the previous six months. since March.

Technical Review 246

Technical Review Analytics AWS SCRUM 246

Dataiku

MAY 20, 2020

Remote work is the ultimate litmus test of the data organization’s robustness. The Challenges of Remote Data Science. Whether accessing the various data sources or the computational capabilities, doing it in a remote setting is often challenging. The Benefits of Remote-Ready Data Science.

Data 106

Data How To Machine Learning Artificial Inteligence 106

CIO

JANUARY 6, 2023

For some that means getting a head start in filling this year’s most in-demand roles, which range from data-focused to security-related positions, according to Robert Half Technology’s 2023 IT salary report. The ongoing tight IT job market has companies doing whatever they can to attract top tech talent.

LAN 358

LAN Systems Administration How To WAN 358

TechCrunch

APRIL 12, 2022

While companies find AI’s predictive power alluring, particularly on the data analytics side of the organization, achieving meaningful results with AI often proves to be a challenge. But implementing and maintaining the data pipelines necessary to keep AI systems from drifting to inaccuracy can require substantial technical resources.

Artificial Inteligence 202

Artificial Inteligence Machine Learning Open Source Biotech 202

InfoQ Culture Methods

SEPTEMBER 6, 2019

Is it all about customer-centric business, or is there any data left? Can we integrate data analytics and customer empathy? This article explores how we can move towards a more customer-centric business and what information we require in order to understand the most valuable thing we have: our customer. By Almudena Rodriguez Pardo.

Analytics 65

Analytics Agile Data Big Data 65

CIO

APRIL 3, 2023

Digital solutions and data analytics are changing the world of sports entertainment at a rapid clip. From how players train, to how teams make strategic decisions during games, to how venues operate and fans engage, sports organizations are turning to software engineers and data scientists to help transform the sport experience.

Sport 241

Sport Artificial Inteligence Coaching Games 241

Cloudera

DECEMBER 10, 2020

Why worry about costs with cloud-native data warehousing? Have you been burned by the unexpected costs of a cloud data warehouse? If not, before adopting a cloud data warehouse, consider the true costs of a cloud-native data warehouse. These costs impede the adoption of cloud-native data warehouses.

Data 98

Data Technical Review Storage Systems Review 98

Kentik

APRIL 12, 2023

With modern networks’ increasing complexity and scale, it has become essential to collect and analyze data from various sources to gain insights into network performance, security, and availability. At the heart of DataOps is the agile development methodology, which emphasizes collaboration, iteration, and continuous delivery.

Network 52

Network Data Engineering Machine Learning Artificial Inteligence 52

Hacker Earth Developers Blog

NOVEMBER 27, 2023

This includes high-demand roles like Full stack- Django/React, Full stack- Django/Angular, Full stack- Django/Spring/ React, Full stack- Django/Spring/Angular, Data engineer, and DevOps engineer. It is best-suited for Agile/ Scrum and other process roles — making it easier to evaluate the assessments for these roles.

ChatGPT 130

ChatGPT Recruiting Windows Testing 130

TIBCO - Connected Intelligence

JANUARY 11, 2021

The same is true when implementing Master Data Management (MDM). Underestimating data engineering workloads . Every MDM project requires that you understand, access, and integrate your source data in some way. Poor data quality. Misfiring on compliance . Failure here is not an option. And collaboration is key.

Technical Advisors 54

Technical Advisors Data Data Engineering Compliance 54

TIBCO - Connected Intelligence

SEPTEMBER 7, 2021

But with major growth, comes growing pains: more specifically, disparate data silos and disconnected, legacy systems. To revolutionize its relationship with data, Volkswagen Pon Financial Services turned to TIBCO solutions—and its success story is a great example of how you can too. Is Data Virtualization the Right Solution for You?

Virtualization 32

Virtualization Data Insurance Software Review 32

Cloudera

JANUARY 15, 2021

Cloud data warehouses allow users to run analytic workloads with greater agility, better isolation and scale, and lower administrative overhead than ever before. The results demonstrate superior price performance of Cloudera Data Warehouse on the full set of 99 queries from the TPC-DS benchmark. Introduction.

Performance 97

Performance Cloud Data Storage 97

The Agile Manager

JULY 31, 2022

One of the benefits of being an agile organization is the elimination of IT shadows: the functions and activities that crop up in response to the inadequacy of the plans, competency and capacity of captive IT. Agile practices addressed these failures through teams able to solve for end-to-end user needs. But scale posed a challenge.

Weak Development Team 59

Weak Development Team Agile Testing Construction 59

O'Reilly Media - Ideas

APRIL 9, 2019

A few months ago, I wrote about the differences between data engineers and data scientists. An interesting thing happened: the data scientists started pushing back, arguing that they are, in fact, as skilled as data engineers at data engineering. Let’s call this data scientist Bob.

Data Engineering 111

Data Engineering Engineering Data Technical Review 111

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. What is a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

Cloudera

NOVEMBER 12, 2020

Cloud has given us hope, with public clouds at our disposal we now have virtually infinite resources, but they come at a different cost – using the cloud means we may be creating yet another series of silos, which also creates unmeasurable new risks in security and traceability of our data. Key areas of concern are: .

Data Center 104

Data Center Cloud Data Policies 104

TIBCO - Connected Intelligence

SEPTEMBER 14, 2020

Everyone yearns for consistent, well-governed, data that is easy to access and use. It enables organizations to more easily and successfully explore their data for insights, provide data as a service, report in real-time, and monitor digital operations. Data virtualization is rising to meet this challenge.

Virtualization 49

Virtualization Data Analytics Innovation 49

Apiumhub

NOVEMBER 17, 2022

Russ Miles – Chaos Engineer Thought Leader & Author of multiple books including “Antifragile Software: Building Adaptable Software with Microservices”. Liz Keogh – Lean and Agile Consultant & Passionate Advocate of the Cynefin framework and of Wardley Mapping. Adam Day – Data Scientist at SAGE Publishing.

Technical Review 79

Technical Review Software Review Fractional CTO CTO Coach 79

TIBCO - Connected Intelligence

APRIL 22, 2021

Opportunity 1: Stop copying so much data. In its annual Worldwide Global Datasphere Forecast, 2019-2023, IDC projected that only 15% of annual data growth is actually net new data. That means 85% of data growth results from copying data you already have. Some analytic tools query data efficiently.

Sustainability 46

Sustainability Virtualization Data Energy 46

InfoQ Culture Methods

JANUARY 7, 2022

This article presents how to use data science to detect wastes and impediments, and concepts and related information that help teams to figure out the root cause of impediments they struggle to get rid of.

Software Development 101

Software Development Data Software Trends 101

Trigent

AUGUST 26, 2022

Expert assistance and agile technology solutions make your work easier. 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.

Software Review 52

Software Review Software Technical Review Artificial Intelligence 52

OpenCredo

JULY 31, 2018

Machine Learning, alongside a mature Data Science, will help to bring IT and business closer together. By leveraging data for actionable insights, IT will increasingly drive business value. Agile and DevOps practices enable the continuous delivery of business value through productionised machine learning models and software delivery.

Artificial Inteligence 40

Artificial Inteligence Machine Learning Data Artificial Intelligence 40