CIO

JUNE 6, 2023

The shortage of data science skills continues to frustrate organizations in their quest to become more data driven. CIO.com’s 2023 State of the CIO research found that data science/analytics is one of the top three tech-related skills CIOs are trying to hire – and 22% said it’s one of the three most difficult to fill.

Data 130

Data Analytics Government Culture 130

Datavail

MARCH 31, 2022

Digital analytics offer enterprises an almost limitless array of values because they are as malleable as each business needs them to be. Further, these analytical capacities continue to evolve as more companies develop proprietary analytics to meet their specific sector demands. Analytics as a Strategy Tool.

Business Analytics 52

Business Analytics Analytics Artificial Inteligence Strategy 52

CIO

JANUARY 6, 2023

While many factors will impact the starting salary for any given role, including competition, location, corporate culture, and budgets, there are certain things you can look for to make sure you land the talent you want. Companies will have to be more competitive than ever to land the right talent in these high-demand areas.

LAN 358

LAN Systems Administration How To Software Engineering 358

CIO

APRIL 12, 2023

He had been trying to gather new data insights but was frustrated at how long it was taking. Most current data architectures were designed for batch processing with analytics and machine learning models running on data warehouses and data lakes. A unified data ecosystem enables this in real time.

Artificial Inteligence 363

Artificial Inteligence Artificial Intelligence Machine Learning Agile 363

Netflix Tech

DECEMBER 18, 2020

Part of our series on who works in Analytics at Netflix?—?and and what the role entails by Alex Diamond This Q&A aims to mythbust some common misconceptions about succeeding in analytics at a big tech company. Working in Studio Data Science & Engineering (“Studio DSE”) was basically a dream come true.

Analytics 55

Analytics Engineering Business Intelligence Data 55

CIO

JUNE 28, 2023

The team leaned on data scientists and bio scientists for expert support. These algorithms were built on top of an advanced analytics self-service platform, enhancing the agility of our data modeling, training, and predictive processes,” Gopalan explains. These transitions are intricate processes and mistakes are inevitable.

Technical Review 259

Technical Review Analytics Innovation Architecture 259

CIO

FEBRUARY 14, 2023

This has also accelerated the execution of edge computing solutions so compute and real-time decisioning can be closer to where the data is generated. AI continues to transform customer engagements and interactions with chatbots that use predictive analytics for real-time conversations. report they have established a data culture 26.5%

Artificial Inteligence 284

Artificial Inteligence Strategy Data Machine Learning 284

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

Xebia

JULY 29, 2024

Data Modelers: They design and create conceptual, logical, and physical data models that organize and structure data for best performance, scalability, and ease of access. In the 1990s, data modeling was a specialized role. Looking to enhance collaboration in your data projects?

Technical Review 130

Technical Review Data Systems Review Meeting 130

CIO

JANUARY 10, 2023

Hiring tech talent in 2023 means navigating an uncertain economy, the effects of widespread tech industry layoffs, and candidates who want to work for a company with a mission and workplace culture that align with their values, including diversity, equity, and inclusion. IT leaders say the best approach is to focus on adaptability.

Trends 326

Trends Recruiting Culture Quality Assurance 326

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. Innovation is not only about the most advanced technology, management and processes are the new era of startups' innovation. The result is not only the most imporant thing, the way you do it more important.

Agile 123

Agile Innovation Culture Business Intelligence 123

CIO

SEPTEMBER 2, 2022

Similar findings came out of a 2021 Forrester report which noted that 55% of companies surveyed were looking to hire data scientists. The report also pointed out that 62% needed data engineers and 37% wanted machine learning engineers — both are key data science support roles. Compensate well.

Data 246

Data Artificial Inteligence Machine Learning Training 246

CIO

SEPTEMBER 1, 2022

Similar findings came out of a 2021 Forrester report which noted that 55% of companies surveyed were looking to hire data scientists. The report also pointed out that 62% needed data engineers and 37% wanted machine learning engineers — both are key data science support roles. Compensate well.

Data 246

Data Artificial Inteligence Machine Learning Training 246

Cloudera

DECEMBER 17, 2021

The collaborative culture is next to none!” . He explained that they were working to stream several terabytes of data from hundreds of data sources each day and running real time analytics to detect fraud. . When Manoj was asked to describe our culture in a word, “People” is what came to mind.

Engineering 97

Engineering Culture Telecommunications Artificial Inteligence 97

Cloudera

NOVEMBER 27, 2017

In an earlier VISION post, The Five Markers on Your Big Data Journey , Amy O’Connor shared some common traits of many of the most successful data-driven companies. In this blog, I’d like to explore what I believe is the most important of those traits, building and fostering a culture of data. .

Big Data 41

Big Data Culture Data Telecommunications 41

CIO

JUNE 19, 2024

Bring the right skills onboard As a baseline, every platform engineering team needs to hire people who have strong communication skills, are technically proficient in software development, hardware and data, have excellent analytical and problem solving skills, and are familiar with platform engineering tools, says Atkinson.

Weak Development Team 346

Weak Development Team Engineering UI/UX Software Development 346

Xebia

MARCH 10, 2021

Therefore these organisations introduce a new capability: Data & Analytics. This blog elaborates on how adopting DevOps principles can enhance business value creation for the world of Data & Analytics. Data & Analytics as a separate business domain. a data & analytics platform).

DevOps 130

DevOps Data Analytics Policies 130

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.

Analytics 63

Analytics Agile Data Big Data 63

CIO

JULY 18, 2023

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. We have learned to think and act quickly in our efforts to attract and retain top talent in these areas,” says Jeanine L.

Technical Advisors 246

Technical Advisors Artificial Inteligence Generative AI How To 246

CIO

JANUARY 17, 2023

It shows in his reluctance to run his own servers but it’s perhaps most obvious in his attitude to data engineering, where he’s nearing the end of a five-year journey to automate or outsource much of the mundane maintenance work and focus internal resources on data analysis. It’s not a good use of our time either.”

Data Engineering 311

Data Engineering Engineering Data CTO Coach 311

O'Reilly Media - Ideas

AUGUST 18, 2020

This article, which examines this shift in more depth, is an opinionated result of countless conversations with data scientists about their needs in modern data science workflows. The Two Cultures of Data Tooling. Lessons Learned from Data Warehouse and Data Engineering Platforms.

Machine Learning 143

Machine Learning Artificial Inteligence Data Data Engineering 143

AWS Machine Learning - AI

JULY 15, 2024

Continuous development, testing, and integration using AWS breadth of services in compute, storage, analytics, and machine learning allowed them to iterate quickly. He leads a product-engineering team responsible for transforming Mixbook into a place for heartfelt storytelling. DJ Charles is the CTO at Mixbook.

Generative AI 103

Generative AI Artificial Inteligence AWS Technical Review 103

Hu's Place - HitachiVantara

APRIL 11, 2019

Few if any data management frameworks are business focused, to not only promote efficient use of data and allocation of resources, but also to curate the data to understand the meaning of the data as well as the technologies that are applied to the data so that data engineers can move and transform the essential data that data consumers need.

Data Engineering 81

Data Engineering Artificial Inteligence Machine Learning Technical Review 81

CIO

MARCH 27, 2024

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

ChatGPT 130

ChatGPT Government Artificial Inteligence Business Intelligence 130

Cloudera

AUGUST 22, 2024

Established in 2014, this center has become a cornerstone of Cloudera’s global strategy, playing a pivotal role in driving the company’s three growth pillars: accelerating enterprise AI, delivering a truly hybrid platform, and enabling modern data architectures.

Innovation 70

Innovation Machine Learning Artificial Inteligence Technical Review 70

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.

Trends 83

Trends Data Machine Learning Artificial Inteligence 83

Cloudera

NOVEMBER 16, 2022

A common theme that was highlighted continuously was using “storytelling” to relay the value that data and analytics teams bring to the business. This leads to a further challenge of the chief data and analytics officer’s role: Is the mission to play offense — drive revenue? Are you playing offense or defense?

Data 83

Data Insurance Metrics eBook 83

Mobilunity

MAY 3, 2024

When it comes to financial technology, data engineers are the most important architects. As fintech continues to change the way standard financial services are done, the data engineer’s job becomes more and more important in shaping the future of the industry. Knowledge of Scala or R can also be advantageous.

Data Engineering 52

Data Engineering Fintech Engineering Data 52

Netflix Tech

SEPTEMBER 18, 2020

Part of our series on who works in Analytics at Netflix?—?and and what the role entails by Julie Beckley & Chris Pham This Q&A provides insights into the diverse set of skills, projects, and culture within Data Science and Engineering (DSE) at Netflix through the eyes of two team members: Chris Pham and Julie Beckley.

Data 90

Data Analytics Culture Video 90

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 84

Artificial Inteligence Machine Learning Culture Analysis 84

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.

Architecture 52

Architecture Data Storage Artificial Inteligence 52

Altexsoft

APRIL 13, 2023

The annual IHS Markit Supply Chain Survey Report found that 63 percent of companies don’t have sufficient technology to approach their top priority optimization strategy, i.e., spend analytics (the situation within other strategic areas is similar). It also often includes analytics, reporting, and forecasting capabilities.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

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. Temporal data and time-series analytics.

Big Data 85

Big Data Technology Tools Cloud 85

Capgemini

MARCH 28, 2023

77% of AI and analytics projects struggle to gain adoption. Fewer than 10 percent of analytics and AI projects make an impact financially because 87 percent of these fail to make it into production. Experimentation Successful personalization teams foster a culture of experimentation. The MVP never becomes an available product.

Systems Review 52

Systems Review System Artificial Inteligence Technical Review 52

Cloudera

SEPTEMBER 23, 2021

We’re an impatient culture, and the continued evolution of IT to become even faster and more responsive has fed that impatience. . Consider that mixture of speed and data is the life flow of IT. Cutting out the distances between data and processing is the key to speed. What exactly is this?

Data 85

Data Sport Report Data Engineering 85

Xebia

DECEMBER 22, 2023

Whether you’re just starting this analytical journey or are deep into data-driven strategies, there’s always a narrative waiting to be discovered in the numbers. Can we react to the market requests in time and get needed features in production fast? Is our backlog management efficient enough?

Weak Development Team 244

Weak Development Team Data Trends Software Review 244

RapidValue

JULY 21, 2019

DataOps is a methodology that helps organizations combine access to information for the employees that consume data and those that provide them. To master DataOps, you are required to overcome the organizational and cultural barriers that separate people from data. DataOps provides more flexibility to move and use the data.

Business Transformation 65

Business Transformation Enterprise DevOps Analytics 65