O'Reilly Media - Data

APRIL 11, 2018

It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data. I think some of these misconceptions come from the diagrams that are used to describe data scientists and data engineers.

Data Engineering 280

Data Engineering Engineering Data Artificial Inteligence 280

OTS Solutions

MARCH 14, 2019

There Are Top Seven Tips for Scaling Your Artificial Intelligence Strategy. In just the last few years, a large number of enterprises have started to work on incorporating an artificial intelligence strategy into their business. Include Responsibility and Accountability. Start Small and Experiment.

Artificial Inteligence 140

Artificial Inteligence Artificial Intelligence Strategy Technical Review 140

CIO

NOVEMBER 19, 2024

All industries and modern applications are undergoing rapid transformation powered by advances in accelerated computing, deep learning, and artificial intelligence. The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data.

Artificial Inteligence 174

Artificial Inteligence Engineering Data Storage 174

Cloudera

JANUARY 9, 2025

Thats why were moving from Cloudera Machine Learning to Cloudera AI. Its a signal that were fully embracing the future of enterprise intelligence. From Science Fiction Dreams to Boardroom Reality The term Artificial Intelligence once belonged to the realm of sci-fi and academic research.

Artificial Inteligence 85

Artificial Inteligence Machine Learning Enterprise Artificial Intelligence 85

CIO

DECEMBER 11, 2024

It was not alive because the business knowledge required to turn data into value was confined to individuals minds, Excel sheets or lost in analog signals. We are now deciphering rules from patterns in data, embedding business knowledge into ML models, and soon, AI agents will leverage this data to make decisions on behalf of companies.

Data 167

Data Technical Review Software Review Weak Development Team 167

The Crazy Programmer

NOVEMBER 6, 2021

Currently, the demand for data scientists has increased 344% compared to 2013. hence, if you want to interpret and analyze big data using a fundamental understanding of machine learning and data structure. And implementing programming languages including C++, Java, and Python can be a fruitful career for you.

Artificial Inteligence 290

Artificial Inteligence Blockchain Software Review Artificial Intelligence 290

CIO

NOVEMBER 7, 2024

Right now, we are thinking about, how do we leverage artificial intelligence more broadly? It covers essential topics like artificial intelligence, our use of data models, our approach to technical debt, and the modernization of legacy systems. I think we’re very much on our way.

Artificial Inteligence 180

Artificial Inteligence Development Generative AI Artificial Intelligence 180

AWS Machine Learning - AI

APRIL 23, 2025

National Laboratory has implemented an AI-driven document processing platform that integrates named entity recognition (NER) and large language models (LLMs) on Amazon SageMaker AI. In this post, we discuss how you can build an AI-powered document processing platform with open source NER and LLMs on SageMaker.

Artificial Inteligence 65

Artificial Inteligence Open Source AWS Serverless 65

CIO

JUNE 11, 2024

The company is offering eight free courses , leading up to this certification, including Fundamentals of Machine Learning and Artificial Intelligence, Exploring Artificial Intelligence Use Cases and Application, and Essentials of Prompt Engineering.

Artificial Inteligence 173

Artificial Inteligence AWS Artificial Intelligence Machine Learning 173

CIO

JANUARY 3, 2025

Artificial intelligence for IT operations (AIOps) solutions help manage the complexity of IT systems and drive outcomes like increasing system reliability and resilience, improving service uptime, and proactively detecting and/or preventing issues from happening in the first place.

Organization 158

Organization Artificial Intelligence Artificial Inteligence DevOps 158

TechCrunch

OCTOBER 19, 2021

Mage , developing an artificial intelligence tool for product developers to build and integrate AI into apps, brought in $6.3 While collaborating with product developers, Dang and Wang saw that while product developers wanted to use AI, they didn’t have the right tools in which to do it without relying on data scientists.

Artificial Inteligence 248

Artificial Inteligence Machine Learning Tools Technical Review 248

The Accidental Successful CIO

JANUARY 25, 2023

Thanks to their easy-to-use interfaces, programs for these AI templates which are known as automated machine learning, or automated ML are even being used by data scientists themselves. Automated ML can be used to ease the pain of data science. These new tools are called automated machine learning.

Artificial Inteligence 98

Artificial Inteligence Artificial Intelligence Machine Learning Training 98

CIO

OCTOBER 18, 2023

“IDH holds a potentially severe immediate risk for patients during dialysis and therefore requires immediate attention from staff,” says Hanjie Zhang, director of computational statistics and artificial intelligence at the Renal Research Institute, a joint venture of Fresenius North America and Beth Israel Medical Center. “As

Artificial Inteligence 200

Artificial Inteligence Analytics Machine Learning Artificial Intelligence 200

CIO

APRIL 10, 2024

Inferencing has emerged as among the most exciting aspects of generative AI large language models (LLMs). A quick explainer: In AI inferencing , organizations take a LLM that is pretrained to recognize relationships in large datasets and generate new content based on input, such as text or images.

Artificial Inteligence 203

Artificial Inteligence Generative AI Storage Artificial Intelligence 203

CIO

FEBRUARY 15, 2024

But to achieve Henkel’s digital vision, Nilles would need to attract data scientists, data engineers, and AI experts to an industry they might not otherwise have their eye on. The key account manager or the salesperson is looking at the trade promotion data and it’s giving really great hints.

Artificial Inteligence 208

Artificial Inteligence Machine Learning B2C Retail 208

CIO

DECEMBER 14, 2023

The customer relationship management (CRM) software provider’s Data Cloud, which is a part of the company’s Einstein 1 platform, is targeted at helping enterprises consolidate and align customer data. The Einstein Trust Layer is based on a large language model (LLM) built into the platform to ensure data security and privacy.

Artificial Inteligence 174

Artificial Inteligence Analysis Data Cloud 174

TechCrunch

APRIL 26, 2021

Faculty , a VC-backed artificial intelligence startup, has won a tender to work with the NHS to make better predictions about its future requirements for patients, based on data drawn from how it handled the COVID-19 pandemic. Palantir doesn’t really do AI, they do data engineering in a big way.

Artificial Inteligence 231

Artificial Inteligence Machine Learning Artificial Intelligence Scalability 231

CIO

DECEMBER 12, 2024

While there seems to be a disconnect between business leader expectations and IT practitioner experiences, the hype around generative AI may finally give CIOs and other IT leaders the resources they need to address longstanding data problems, says TerrenPeterson, vice president of data engineering at Capital One.

Data 201

Data Survey Artificial Inteligence Education 201

CIO

JUNE 10, 2024

As head of transformation, artificial intelligence, and delivery at Guardian Life, John Napoli is ramping up his company’s AI initiatives. Moreover, many need deeper AI-related skills, too, such as for building machine learning models to serve niche business requirements. Here’s how IT leaders are coping.

Artificial Inteligence 204

Artificial Inteligence Strategy Machine Learning Training 204

TechCrunch

NOVEMBER 18, 2021

DevOps fueled this shift to the cloud, as it gave decision-makers a sense of control over business-critical applications hosted outside their own data centers. Data engineers play with tools like ETL/ELT, data warehouses and data lakes, and are well versed in handling static and streaming data sets.

Enterprise 344

Enterprise Artificial Inteligence Data Engineering Data Center 344

Cloudera

DECEMBER 20, 2023

Cloudera is launching and expanding partnerships to create a new enterprise artificial intelligence “AI” ecosystem. In a stack including Cloudera Data Platform the applications and underlying models can also be deployed from the data management platform via Cloudera Machine Learning.

Artificial Inteligence 71

Artificial Inteligence Artificial Intelligence Enterprise Machine Learning 71

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

NOVEMBER 27, 2024

For AI, there’s no universal standard for when data is ‘clean enough.’ Google suggests pizza recipes with glue because that’s how food photographers make images of melted mozzarella look enticing, and that should probably be sanitized out of a generic LLM.

Data 211

Data Enterprise Weak Development Team Software Review 211

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. Better user experience.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

TechCrunch

JULY 12, 2022

Machine learning can provide companies with a competitive advantage by using the data they’re collecting — for example, purchasing patterns — to generate predictions that power revenue-generating products (e.g. At a high level, Tecton automates the process of building features using real-time data sources.

Artificial Inteligence 249

Artificial Inteligence Machine Learning Marketing Data Engineering 249

CIO

JULY 6, 2023

The first tier, according to Batta, consists of its OCI Supercluster service and is targeted at enterprises, such as Cohere or Hugging Face, that are working on developing large language models to further support their customers. Artificial Intelligence, Enterprise Applications, IT Strategy

Generative AI 170

Generative AI Artificial Inteligence Strategy Google Cloud 170

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

Daffodil Software

AUGUST 24, 2022

Artificial Intelligence (AI) and data engineering are closely interlinked. On one hand, making sense of unstructured data is the process known as data science or data engineering.

Data Engineering 98

Data Engineering Engineering Artificial Intelligence Artificial Inteligence 98

AWS Machine Learning - AI

JUNE 18, 2024

More than 170 tech teams used the latest cloud, machine learning and artificial intelligence technologies to build 33 solutions. The fundamental objective is to build a manufacturer-agnostic database, leveraging generative AI’s ability to standardize sensor outputs, synchronize data, and facilitate precise corrections.

Generative AI 125

Generative AI Artificial Inteligence Technical Review AWS 125

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

AWS Machine Learning - AI

JUNE 21, 2024

To accomplish this, eSentire built AI Investigator, a natural language query tool for their customers to access security platform data by using AWS generative artificial intelligence (AI) capabilities. Therefore, eSentire decided to build their own LLM using Llama 1 and Llama 2 foundational models.

Artificial Inteligence 122

Artificial Inteligence Generative AI AWS Serverless 122

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

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

AWS Machine Learning - AI

NOVEMBER 15, 2024

Model monitoring of key NLP metrics was incorporated and controls were implemented to prevent unsafe, unethical, or off-topic responses. 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.

Generative AI 113

Generative AI AWS Groups Artificial Inteligence 113

CIO

FEBRUARY 19, 2025

Weve also seen some significant benefits in leveraging it for productivity in data engineering processes, such as generating data pipelines in a more efficient way. Or it could build its own models from scratch, or develop its own agentic AI platform instead of waiting for a big vendor to come out with one.

Google Cloud 206

Google Cloud Survey CTO Coach Software Development 206

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. The new team needs data engineers and scientists, and will look outside the company to hire them.

Recruiting 202

Recruiting Artificial Inteligence Programming Technology 202

Altexsoft

JUNE 6, 2019

Fast checkout, personalized recommendations, or instant access to customer care at any time are a few services that can be implemented with the help of artificial intelligence. Forecasting demand with machine learning in Walmart. When walking around any store, small or large, you always expect to find a product you need.

Artificial Inteligence 89

Artificial Inteligence Artificial Intelligence Retail Innovation 89