TechCrunch

FEBRUARY 7, 2022

Advances in cloud-based location service are ushering in a new era of location intelligence by helping data engineers, analysts, and developers integrate location data into their existing infrastructure, build data pipelines, and reap insights more efficiently.

Business Intelligence 230

Business Intelligence AWS Data Engineering Sustainability 230

CIO

FEBRUARY 25, 2025

Its about taking the data you already have and asking: How can we use this to do business better? For example, if a customer service rep is empowered with real-time data, they can anticipate a customers needs and offer tailored solutions.

Data 136

Data Innovation Insurance Culture 136

TechCrunch

NOVEMBER 4, 2022

I know this because I used to be a data engineer and built extract-transform-load (ETL) data pipelines for this type of offer optimization. Part of my job involved unpacking encrypted data feeds, removing rows or columns that had missing data, and mapping the fields to our internal data models.

Data 218

Data Storage Analytics Data Engineering 218

Xebia

NOVEMBER 21, 2024

But when the size of a dbt project grows, and the number of developers increases, then an automated approach is often the only scalable way forward. check_exposure_based_on_view ensures exposures are not based on views as this may result in poor performance for data consumers. Loaded config from dbt-bouncer-example.yml.

Weak Development Team 130

Weak Development Team Testing Analytics Engineering 130

Cloudera

NOVEMBER 22, 2021

In legacy analytical systems such as enterprise data warehouses, the scalability challenges of a system were primarily associated with computational scalability, i.e., the ability of a data platform to handle larger volumes of data in an agile and cost-efficient way. CRM platforms).

Scalability 94

Scalability Data Technical Review Analytics 94

Confluent

JUNE 18, 2019

Software projects of all sizes and complexities have a common challenge: building a scalable solution for search. For this reason and others as well, many projects start using their database for everything, and over time they might move to a search engine like Elasticsearch or Solr. You might be wondering, is this a good solution?

Scalability 97

Scalability Architecture Artificial Inteligence Machine Learning 97

TechCrunch

APRIL 26, 2021

Based on Bayesian hierarchical modeling, Faculty says the EWS uses aggregate data (for example, COVID-19 positive case numbers, 111 calls and mobility data) to warn hospitals about potential spikes in cases so they can divert staff, beds and equipment needed. but we’re working in the U.S. and in Europe, Asia.

Artificial Inteligence 231

Artificial Inteligence Machine Learning Artificial Intelligence Scalability 231

AWS Machine Learning - AI

MARCH 13, 2025

After the data is transcribed, MaestroQA uses technology they have developed in combination with AWS services such as Amazon Comprehend to run various types of analysis on the customer interaction data. For example, Can I speak to your manager? To start developing this product, MaestroQA first rolled out a product called AskAI.

Generative AI 113

Generative AI CTO Coach AWS Artificial Inteligence 113

AWS Machine Learning - AI

NOVEMBER 20, 2024

Aurora MySQL-Compatible is a fully managed, MySQL-compatible, relational database engine that combines the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. For example, q-aurora-mysql-source. For Instance , enter the database name (for example, sales ).

Data 111

Data AWS Groups Knowledge Base 111

CIO

DECEMBER 22, 2022

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise. What is DataOps?

Analytics 195

Analytics Data Engineering Artificial Inteligence Machine Learning 195

Altexsoft

AUGUST 25, 2020

That’s why a data specialist with big data skills is one of the most sought-after IT candidates. Data Engineering positions have grown by half and they typically require big data skills. Data engineering vs big data engineering. Big data processing. maintaining data pipeline.

Big Data 75

Big Data Data Engineering Engineering Data 75

AWS Machine Learning - AI

APRIL 1, 2025

With App Studio, technical professionals such as IT project managers, data engineers, enterprise architects, and solution architects can quickly develop applications tailored to their organizations needswithout requiring deep software development skills. Outside of work, Samit enjoys playing cricket, traveling, and biking.

AWS 101

AWS Software Review Technical Review Generative AI 101

CIO

OCTOBER 9, 2024

The data preparation process should take place alongside a long-term strategy built around GenAI use cases, such as content creation, digital assistants, and code generation. Known as data engineering, this involves setting up a data lake or lakehouse, with their data integrated with GenAI models.

Strategy 215

Strategy Data Artificial Inteligence Storage 215

TechCrunch

JULY 25, 2022

The company was founded in 2021 by Brian Ip, a former Goldman Sachs executive, and data engineer YC Chan. He added that this disadvantage of payroll software is that they only provide basic admin functions around payroll calculation, and are not scalable. But most HR teams Chan and Ip spoke to wanted an all-in-one solution.

Recruiting 224

Recruiting Technical Review Software Review Systems Review 224

AWS Machine Learning - AI

NOVEMBER 15, 2024

Generative AI models (for example, Amazon Titan) hosted on Amazon Bedrock were used for query disambiguation and semantic matching for answer lookups and responses. All AWS services are high-performing, secure, scalable, and purpose-built. Joel Elscott is a Senior Data Engineer on the Principal AI Enablement team.

Generative AI 113

Generative AI AWS Groups Artificial Inteligence 113

CIO

AUGUST 3, 2022

It is a mindset that lets us zoom in to think vertically about how we deliver to the farmer, vet, and pet owner, and then zoom out to think horizontally about how to make the solutions reusable, scalable, and secure. For example, the CIO of an alcohol distributor saw the company’s catering channel plummet while retail sales spiked.

Leadership 218

Leadership IoT SDLC Artificial Inteligence 218

CIO

FEBRUARY 14, 2023

Here are some examples: Fraud It’s critical to identify bad actors using high-quality AI models and data Product recommendations It’s important to stay competitive in today’s ever-expanding online ecosystem with excellent product recommendations and aggressive, responsive pricing against competitors.

Artificial Inteligence 174

Artificial Inteligence Strategy Data Machine Learning 174

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

CIO

JUNE 19, 2024

Platform engineering: purpose and popularity Platform engineering teams are responsible for creating and running self-service platforms for internal software developers to use. AI is 100% disrupting platform engineering,” Srivastava says, so it’s important to have the skills in place to exploit that. “As

Weak Development Team 208

Weak Development Team Engineering UI/UX Software Development 208

AWS Machine Learning - AI

APRIL 23, 2025

Designed with a serverless, cost-optimized architecture, the platform provisions SageMaker endpoints dynamically, providing efficient resource utilization while maintaining scalability. Serverless on AWS AWS GovCloud (US) Generative AI on AWS About the Authors Nick Biso is a Machine Learning Engineer at AWS Professional Services.

Artificial Inteligence 66

Artificial Inteligence Open Source AWS Serverless 66

TechCrunch

SEPTEMBER 29, 2022

The edtech veteran is right: the next-generation of edtech is still looking for ways to balance motivation and behavior change, offered at an accessible price point in a scalable format. “We haven’t solved the problems yet, and in fact, they’re growing,” Stiglitz said in an interview with TechCrunch.

Course 180

Course Technical Review Artificial Inteligence Machine Learning 180

Xebia

JANUARY 30, 2025

In this blog post, we want to tell you about our recent effort to do metadata-driven data masking in a way that is scalable, consistent and reproducible. Using dbt to define and document data classifications and Databricks to enforce dynamic masking, we ensure that access is controlled automatically based on metadata.

Data 130

Data Groups Data Engineering Systems Review 130

TechCrunch

OCTOBER 7, 2021

If your customers are data engineers, it probably won’t make sense to discuss front-end web technologies. EveryDeveloper focuses on content, which I believe is the most scalable way to reach developers. The educational and inspirational content you use to attract developers will depend on who is the best fit for your product.

Weak Development Team 231

Weak Development Team Software Development Marketing Technical Advisors 231

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.

Data Engineering 52

Data Engineering Fintech Engineering Data 52

CIO

JULY 29, 2022

For example, if a data team member wants to increase their skills or move to a data engineer position, they can embark on a curriculum for up to two years to gain the right skills and experience. The bootcamp broadened my understanding of key concepts in data engineering.

Groups 147

Groups Security Development Programming 147

Altexsoft

JUNE 29, 2021

For example, Netflix takes advantage of ML algorithms to personalize and recommend movies for clients, saving the tech giant billions. MLEs are usually a part of a data science team which includes data engineers , data architects, data and business analysts, and data scientists.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

CIO

FEBRUARY 13, 2023

For example, New York-Presbyterian Hospital, which has a network of hospitals and about 2,600 beds, is deploying over 150 AI and VR/AR projects this year across all clinical specialties. For example, the hospital wants the ability to look at imaging and pathology data so staff can better diagnose patients faster and quicker, he says.

Budget 218

Budget Artificial Inteligence Technical Review VR 218

John Snow Labs

FEBRUARY 12, 2025

John Snow Labs’ Medical Language Models library is an excellent choice for leveraging the power of large language models (LLM) and natural language processing (NLP) in Azure Fabric due to its seamless integration, scalability, and state-of-the-art accuracy on medical tasks.

Artificial Inteligence 52

Artificial Inteligence Azure Healthcare Software Review 52

CIO

SEPTEMBER 18, 2023

Inside the ‘factory’ Aside from its core role as a migration platform, Network Alpha Factory also delivers network scalability and a bird’s-eye view of an enterprise’s entire network landscape, including where upgrades may be needed.

Telecommunications 167

Telecommunications Network Systems Review Software Review 167

Honeycomb

APRIL 23, 2025

Their example looks like this: Top tier (5%): External-facing, revenue-generating applications requiring full observability: metrics, logs, tracing, profiling, synthetics, etc. They need libraries they can tinker with and take apart, code snippets and examples to tweak and play with, metered storage that scales up as they grow, and more.

Weak Development Team 106

Weak Development Team Metrics Storage Engineering 106

AWS Machine Learning - AI

AUGUST 8, 2024

Use the following as an example: {{example redacted}} 2. Use the following as an example: {{example redacted}} 5. DynamoDB is a highly scalable and durable NoSQL database service, enabling you to efficiently store and retrieve chat histories for multiple user sessions concurrently. within the LookML views.

Artificial Inteligence 126

Artificial Inteligence Data Generative AI AWS 126

CIO

JULY 15, 2022

This enabled the team to select one engine to carry forward and to identify capabilities that the other engines offered that DTN should consider reimplementing in its selected platform, Ewe says. For example, Ewe didn’t want to lose the data those other engines worked with.

Systems Review 167

Systems Review Fractional CTO System Development Team Review 167

CIO

DECEMBER 11, 2023

Digital solutions to implement generative AI in healthcare EXL, a leading data analytics and digital solutions company , has developed an AI platform that combines foundational generative AI models with our expertise in data engineering, AI solutions, and proprietary data sets.

Generative AI 113

Generative AI Artificial Inteligence Healthcare Artificial Intelligence 113

Cloudera

AUGUST 17, 2021

When we announced the GA of Cloudera Data Engineering back in September of last year, a key vision we had was to simplify the automation of data transformation pipelines at scale. Typically users need to ingest data, transform it into optimal format with quality checks, and optimize querying of the data by visual analytics tool.

Data 115

Data Open Source Analytics Artificial Inteligence 115

O'Reilly Media - Data

MARCH 22, 2018

Data Scientist Cathy O’Neil has recently written an entire book filled with examples of poor interpretability as a dire warning of the potential social carnage from misunderstood models—e.g., Analysts and data scientists can possibly use model comparison and evaluation methods to assess the accuracy of the models.

Off-The-Shelf 177

Off-The-Shelf Artificial Inteligence Machine Learning Weak Development Team 177

Cloudera

NOVEMBER 28, 2023

Cloudera Private Cloud Data Services is a comprehensive platform that empowers organizations to deliver trusted enterprise data at scale in order to deliver fast, actionable insights and trusted AI. This means you can expect simpler data management and drastically improved productivity for your business users.

Data 84

Data Scalability Analytics Quality Assurance 84

Cloudera

JANUARY 20, 2021

Another important need that these corporations have is to easily improve their models when additional data is made more available in real-time. For example, given a transaction, let’s say that an ML model predicts that it is a fraudulent transaction. Through PySpark, data can be accessed from multiple sources.

Artificial Inteligence 115

Artificial Inteligence Machine Learning Applications Data 115