Xebia

FEBRUARY 28, 2025

Universities have been pumping out Data Science grades in rapid pace and the Open Source community made ML technology easy to use and widely available. Both the tech and the skills are there: Machine Learning technology is by now easy to use and widely available. Big part of the reason lies in collaboration between teams.

Technical Review 182

Technical Review Weak Development Team Machine Learning Artificial Inteligence 182

CIO

MARCH 13, 2025

Gen AI-related job listings were particularly common in roles such as data scientists and data engineers, and in software development. Were building a department of AI engineering, mostly by bringing in people from data engineering and training them to work with gen AI and AI in general, says Daniel Avancini, Indiciums CDO.

Part-Time VPE 205

Part-Time VPE Weak Development Team Fractional VPE Fractional CTO 205

CIO

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. The data engineer role.

Data Engineering 197

Data Engineering Analytics Engineering Data 197

Cloudera

MAY 19, 2021

In the previous blog post in this series, we walked through the steps for leveraging Deep Learning in your Cloudera Machine Learning (CML) projects. RAPIDS on the Cloudera Data Platform comes pre-configured with all the necessary libraries and dependencies to bring the power of RAPIDS to your projects. Register Now. .

Machine Learning 137

Machine Learning Artificial Inteligence Engineering Training 137

CIO

DECEMBER 10, 2024

In addition, weve seen the introduction of a wide variety of small language models (SLMs), industry-specific LLMs, and, most recently, agentic AI models. Spending on vertical AI has increased 12x , this year, as more businesses recognize the improvements in data processing costs and accuracy that can be achieved with specialized LLMs.

Artificial Inteligence 174

Artificial Inteligence Off-The-Shelf Insurance Analytics 174

The Crazy Programmer

NOVEMBER 6, 2021

IT or Information technology is the industry that has registered continuous growth. It was in a better situation even in the COVID-19 situation than other industries. However, the ever-growing IT industry has encouraged the young generation and current professionals to find their ideal career opportunities. Big Data Engineer.

Artificial Inteligence 290

Artificial Inteligence Blockchain Software Review Artificial Intelligence 290

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. ”

Artificial Inteligence 249

Artificial Inteligence Machine Learning Open Source Data Engineering 249

CIO

DECEMBER 4, 2024

We’ve had folks working with machine learning and AI algorithms for decades,” says Sam Gobrail, the company’s senior director for product and technology. These tools help people gain theoretical knowledge,” says Raj Biswas, global VP of industry solutions.

Recruiting 202

Recruiting Artificial Inteligence Programming Technology 202

Altexsoft

JULY 23, 2020

When speaking of machine learning, we typically discuss data preparation or model building. Living in the shadow, this stage, according to the recent study , eats up 25 percent of data scientists time. MLOps lies at the confluence of ML, data engineering, and DevOps. More time for development of new models.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

Xebia

MARCH 30, 2025

“The fine art of data engineering lies in maintaining the balance between data availability and system performance.” ” Ted Malaska At Melexis, a global leader in advanced semiconductor solutions, the fusion of artificial intelligence (AI) and machine learning (ML) is driving a manufacturing revolution.

Testing 130

Testing Artificial Inteligence Comparison Software Review 130

Cloudera

NOVEMBER 17, 2021

You know the one, the mathematician / statistician / computer scientist / data engineer / industry expert. Some companies are starting to segregate the responsibilities of the unicorn data scientist into multiple roles (data engineer, ML engineer, ML architect, visualization developer, etc.),

Machine Learning 124

Machine Learning Artificial Inteligence Hotels Data Engineering 124

CIO

APRIL 2, 2025

The spectrum is broad, ranging from process automation using machine learning models to setting up chatbots and performing complex analyses using deep learning methods. Another important aspect of AI consulting is the adaptation to industry-specific requirements. Implementation and integration.

Artificial Inteligence 107

Artificial Inteligence Technical Advisors Artificial Intelligence Automotive 107

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Impedance mismatch between data scientists, data engineers and production engineers.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Altexsoft

JUNE 29, 2021

In a world fueled by disruptive technologies, no wonder businesses heavily rely on machine learning. Google, in turn, uses the Google Neural Machine Translation (GNMT) system, powered by ML, reducing error rates by up to 60 percent. The role of a machine learning engineer in the data science team.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

O'Reilly Media - Data

SEPTEMBER 30, 2019

Pete Warden has an ambitious goal: he wants to build machine learning (ML) applications that can run on a microcontroller for a year using only a hearing aid battery for power. Turning off the radio inverts our models for machine learning on small devices. And it draws 1.6 And why do we want to build them?

Artificial Inteligence 259

Artificial Inteligence Applications Machine Learning Conference 259

Cloudera

APRIL 9, 2021

The second blog dealt with creating and managing Data Enrichment pipelines. The third video in the series highlighted Reporting and Data Visualization. Specifically, we’ll focus on training Machine Learning (ML) models to forecast ECC part production demand across all of its factories. Data Collection – streaming data.

Machine Learning 98

Machine Learning Artificial Inteligence Data Data Engineering 98

TechCrunch

MAY 10, 2022

“The major challenges we see today in the industry are that machine learning projects tend to have elongated time-to-value and very low access across an organization. “Given these challenges, organizations today need to choose between two flawed approaches when it comes to developing machine learning. .

Artificial Inteligence 235

Artificial Inteligence Machine Learning Off-The-Shelf Training 235

Altexsoft

JUNE 25, 2019

Being at the top of data science capabilities, machine learning and artificial intelligence are buzzing technologies many organizations are eager to adopt. If we look at the hierarchy of needs in data science implementations, we’ll see that the next step after gathering your data for analysis is data engineering.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

AWS Machine Learning - AI

NOVEMBER 15, 2024

The flexible, scalable nature of AWS services makes it straightforward to continually refine the platform through improvements to the machine learning models and addition of new features. Dr. Nicki Susman is a Senior Machine Learning Engineer and the Technical Lead of the Principal AI Enablement team.

Generative AI 113

Generative AI AWS Groups Artificial Inteligence 113

TechCrunch

APRIL 12, 2022

“Searching for the right solution led the team deep into machine learning techniques, which came with requirements to use large amounts of data and deliver robust models to production consistently … The techniques used were platformized, and the solution was used widely at Lyft.” ” Taking Flyte.

Artificial Inteligence 202

Artificial Inteligence Machine Learning Open Source Biotech 202

CIO

JULY 28, 2022

Recent research from industry analyst firm IDC showed that there are 210,000 data science jobs listed on LinkedIn. The research report also noted that top enterprises, such as Deloitte, Amazon and Microsoft, are looking to fill a wide spectrum of technical jobs but data science far outweighs all other roles. Getting creative.

Data 215

Data Machine Learning Artificial Inteligence Fractional CTO 215

CIO

JUNE 7, 2022

More companies in every industry are adopting artificial intelligence to transform business processes. But the success of their AI initiatives depends on more than just data and technology — it’s also about having the right people on board. Data scientists are the core of any AI team. Data engineer.

Artificial Inteligence 218

Artificial Inteligence Technical Review Fractional CTO Data Engineering 218

d2iq

FEBRUARY 19, 2021

Going from a prototype to production is perilous when it comes to machine learning: most initiatives fail , and for the few models that are ever deployed, it takes many months to do so. As little as 5% of the code of production machine learning systems is the model itself. Adapted from Sculley et al.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. We will learn what it is, why it is important and how Cloudera Machine Learning (CML) is helping organisations tackle this challenge as part of the broader objective of achieving Ethical AI.

Machine Learning 85

Machine Learning Artificial Inteligence Weak Development Team Construction 85

AWS Machine Learning - AI

MARCH 13, 2025

This post was co-written with Vishal Singh, Data Engineering Leader at Data & Analytics team of GoDaddy Generative AI solutions have the potential to transform businesses by boosting productivity and improving customer experiences, and using large language models (LLMs) in these solutions has become increasingly popular.

Artificial Inteligence 96

Artificial Inteligence Systems Review System Generative AI 96

CIO

SEPTEMBER 29, 2023

Most relevant roles for making use of NLP include data scientist , machine learning engineer, software engineer, data analyst , and software developer. AI image processing enables organizations to analyze and extract data from documents such as invoices, purchase orders, packing lists, receipts, and more.

Generative AI 214

Generative AI Machine Learning Artificial Inteligence ChatGPT 214

Netflix Tech

JUNE 20, 2024

A summary of sessions at the first Data Engineering Open Forum at Netflix on April 18th, 2024 The Data Engineering Open Forum at Netflix on April 18th, 2024. At Netflix, we aspire to entertain the world, and our data engineering teams play a crucial role in this mission by enabling data-driven decision-making at scale.

Data Engineering 82

Data Engineering Engineering Data Generative AI 82

Apiumhub

DECEMBER 9, 2024

Compliance : For companies in regulated industries, managing secrets securely is essential to comply with standards such as GDPR, HIPAA, and SOC 2. This is a single, integrated location that allows for a data warehouse, and large data processing. Also combines data integration with machine learning.

Azure 89

Azure Analytics Storage Machine Learning 89

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. “As we’ve built a truly horizontal solution, our customers come from a variety of industries.

Open Source 203

Open Source Weak Development Team Data Artificial Inteligence 203

Altexsoft

MAY 27, 2020

Machine learning (ML) history can be traced back to the 1950s, when the first neural networks and ML algorithms appeared. Analysis of more than 16.000 papers on data science by MIT technologies shows the exponential growth of machine learning during the last 20 years pumped by big data and deep learning advancements.

Machine Learning 89

Machine Learning Artificial Inteligence Architecture Training 89

CIO

OCTOBER 13, 2023

Data architecture is a complex and varied field and different organizations and industries have unique needs when it comes to their data architects. Information/data governance architect: These individuals establish and enforce data governance policies and procedures.

Data 199

Data Data Engineering Database Administration Artificial Inteligence 199

TechCrunch

OCTOBER 7, 2021

Increasingly, conversations about big data, machine learning and artificial intelligence are going hand-in-hand with conversations about privacy and data protection. “But now we are running into the bottleneck of the data. But humans are not meant to be mined.”

Artificial Inteligence 246

Artificial Inteligence Engineering Technical Review Data 246

TechCrunch

DECEMBER 10, 2020

Once software ate the IT services industry, what would Accenture look like?” ” It currently has a database of some 180,000 engineers covering around 100 or so engineering skills, including React, Node, Python, Agular, Swift, Android, Java, Rails, Golang, PHP, Vue, DevOps, machine learning, data engineering and more.

Engineering 325

Engineering Artificial Inteligence Lambda Machine Learning 325

O'Reilly Media - Ideas

JANUARY 14, 2025

Welcome to our annual report on the usage of the OReilly learning platform. Its been an exciting year, dominated by a constant stream of breakthroughs and announcements in AI, and complicated by industry-wide layoffs. Our data shows how our users are reacting to changes in the industry: Which skills do they need to brush up on?

Trends 130

Trends Technology Security Artificial Inteligence 130

Hacker Earth Developers Blog

JUNE 26, 2019

Data science is an interdisciplinary field that uses a blend of data inference and algorithm development to solve complex analytical problems. An ideal candidate has skills in the 3 fields: mathematics/ statistics/ machine learning/ programming and business/ domain knowledge. . Machine Learning and Programming.

Data 200

Data How To Machine Learning Artificial Inteligence 200

CIO

FEBRUARY 15, 2024

Like many incumbents in the consumer packaged goods (CPG) industry, Henkel was slow to embrace digital technologies, resulting in a widening disconnect between the 147-year-old company and the changing needs of its customers. We’ve been lucky, I think, because we have interesting industry problems to crack,” Nilles says.

Artificial Inteligence 208

Artificial Inteligence Machine Learning B2C Retail 208

CIO

AUGUST 3, 2022

But don’t attempt to create a modern software development lifecycle (SDLC) on an industrial era infrastructure. The target architecture of the data economy is platform-based , cloud-enabled, uses APIs to connect to an external ecosystem, and breaks down monolithic applications into microservices. The cloud.

Leadership 218

Leadership Machine Learning Artificial Inteligence IoT 218