CIO

SEPTEMBER 29, 2022

s SVP and chief data & analytics officer, has a crowâ??s s nest perspective of immediate and long-term tasks to equally strengthen the company culture and customer needs. s unique about the [chief data officer] role is it sits at the cross-section of data, technology, and analytics,â??

Artificial Inteligence 201

Artificial Inteligence Machine Learning Travel Technical Review 201

CIO

APRIL 2, 2025

In this context, collaboration between data engineers, software developers and technical experts is particularly important. Mastering programming languages such as Python is a great advantage, as is a sound knowledge of data (databases) and general software development. These include: Analytical and structured thinking.

Artificial Inteligence 120

Artificial Inteligence Technical Advisors Artificial Intelligence Automotive 120

Netflix Tech

JULY 15, 2021

Data Engineers of Netflix?—?Interview Interview with Kevin Wylie This post is part of our “Data Engineers of Netflix” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Kevin, what drew you to data engineering?

Data Engineering 79

Data Engineering Engineering Data Big Data 79

Netflix Tech

OCTOBER 28, 2021

Data Engineers of Netflix?—?Interview Interview with Pallavi Phadnis This post is part of our “ Data Engineers of Netflix ” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Pallavi Phadnis is a Senior Software Engineer at Netflix.

Data Engineering 72

Data Engineering Engineering Data Software Engineering 72

CIO

JULY 22, 2024

But with analytics and AI becoming table-stakes to staying competitive in the modern business world, the Michigan-based company struggled to leverage its data. “We We didn’t have a centralized place to do it and really didn’t do a great job governing our data.

Government 179

Government Data Analytics Chemicals 179

Altexsoft

DECEMBER 9, 2020

In the era of global digital transformation , the role of data analysis in decision-making increases greatly. Still, today, according to Deloitte research, insight-driven companies are fewer than those not using an analytical approach to decision-making, even though the majority agrees on its importance. Stages of analytics maturity.

Analytics 102

Analytics Technical Review Technology Applications 102

CIO

FEBRUARY 17, 2025

Implementing AI with confidence Mapping like this represents the first step towards building a culture of continuous improvement and adaptability, ensuring that utility companies can rapidly respond to evolving regulations and changing market demands. Working with a trusted industry leader is a surefire way to do this confidently.

Azure 117

Azure Metrics Systems Review Technical Review 117

CIO

AUGUST 3, 2022

In today’s data economy, in which software and analytics have emerged as the key drivers of business, CEOs must rethink the silos and hierarchies that fueled the businesses of the past. They can no longer have “technology people” who work independently from “data people” who work independently from “sales” people or from “finance.”

Leadership 218

Leadership Machine Learning Artificial Inteligence IoT 218

Netflix Tech

SEPTEMBER 18, 2020

Analytics at Netflix: Who We Are and What We Do An Introduction to Analytics and Visualization Engineering at Netflix by Molly Jackman & Meghana Reddy Explained: Season 1 (Photo Credit: Netflix) Across nearly every industry, there is recognition that data analytics is key to driving informed business decision-making.

Analytics 97

Analytics Engineering Film Data Engineering 97

CIO

JUNE 7, 2022

Successful AI teams also include a range of people who understand the business and the problems it’s trying to solve, says Bradley Shimmin, chief analyst for AI platforms, analytics, and data management at consulting firm Omdia. Data engineer. The data engineer is foundational for both ML and non-ML initiatives, he says.

Artificial Inteligence 218

Artificial Inteligence Technical Review Fractional CTO Data Engineering 218

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 215

LAN How To Systems Administration Software Engineering 215

Altexsoft

OCTOBER 3, 2019

potential talent is becoming much more “efficient” in many firms, top talent is becoming simultaneously more expensive and more easily lost to competitors,” stresses professor of workforce analytics Mark Huselid in The science and practice of workforce analytics: Introduction to the HRM special issue. . What is people and HR analytics?

Analytics 16

Analytics Company Off-The-Shelf How To 16

CIO

OCTOBER 19, 2022

The CIO’s evolving data role Data falls into a similar category as digital. CIOs are responsible for building an enterprise data and analytics capability, but they do not own data as a function. If that is the case, where should the data and analytics function sit?

Leadership 187

Leadership CTO Coach Culture Fractional CTO 187

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 218

Artificial Inteligence Artificial Intelligence Machine Learning Agile 218

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 119

Agile Innovation Culture Business Intelligence 119

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. Meanwhile, 54% of respondents said skills shortages hamper change.

Artificial Inteligence 204

Artificial Inteligence Strategy Machine Learning Training 204

Altexsoft

FEBRUARY 8, 2021

These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development. Optimization opportunities offered by analytics.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Altexsoft

FEBRUARY 10, 2021

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.

Analytics 75

Analytics DevOps Development Software Review 75

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

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.

Artificial Inteligence 145

Artificial Inteligence Machine Learning Data Data Engineering 145

Cloudera

OCTOBER 26, 2023

But unless staff at every level grasp the power of data and have the skills to wield it properly, it becomes a wasted resource. That’s why organizations should focus on creating a culture of data. What can a data-driven culture help organizations accomplish? Are you more or less data-driven than they are?

Culture 77

Culture Data Company Analytics 77

CIO

NOVEMBER 7, 2023

Centralized reporting boosts data value For more than a decade, pediatric health system Phoenix Children’s has operated a data warehouse containing more than 120 separate data systems, providing the ability to connect data from disparate systems. Everyone had equal access to the info they needed to best do their job.”

Data 213

Data Artificial Inteligence Architecture Analytics 213

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 108

Trends Data Artificial Inteligence Machine Learning 108

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 197

Trends Recruiting Culture Quality Assurance 197

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 174

Artificial Inteligence Strategy Data Machine Learning 174

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 157

Technical Review Analytics Innovation Architecture 157

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

O'Reilly Media - Ideas

FEBRUARY 11, 2020

Key survey results: The C-suite is engaged with data quality. Data scientists and analysts, data engineers, and the people who manage them comprise 40% of the audience; developers and their managers, about 22%. Data quality might get worse before it gets better. An additional 7% are data engineers.

Weak Development Team 145

Weak Development Team Data Technical Review Survey 145

CIO

JULY 15, 2022

We have so much opportunity here that there’s more than one solution where we can apply their talent,” he says, noting that there would be plenty of work building analytics and insight tools around whichever forecasting engine was chosen. Analytics, Data Management I am a firm believer in in-house resources.

Systems Review 167

Systems Review Fractional CTO System Development Team Review 167

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 144

Sport Artificial Inteligence Coaching Games 144

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 95

Engineering Culture Telecommunications Machine Learning 95

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 148

Data Machine Learning Artificial Inteligence Training 148

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 148

Data Machine Learning Artificial Inteligence Training 148

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

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

Cloudera

MARCH 2, 2021

Streaming analytics is crucial to modern business – it opens up new product opportunities and creates massive operational efficiencies. However, in the typical enterprise, only a small team has the core skills needed to gain access and create value from streams of data. A rare breed. What do you mean by democratizing?

Data 112

Data Weak Development Team Data Engineering Enterprise 112

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 108

Big Data Technology Tools Cloud 108