Invid Group

AUGUST 28, 2024

The willingness to explore new tools like large language models (LLM), machine learning (ML) models, and natural language processing (NLP) is opening unthinkable possibilities to improve processes, reduce operational costs, or simply innovate [2]. Either way, the solution has to bring value to the day-to-day operations.

Technical Review 52

Technical Review Artificial Inteligence Performance Azure 52

Capgemini

JANUARY 17, 2023

By creating a lakehouse, a company gives every employee the ability to access and employ data and artificial intelligence to make better business decisions. Many organizations that implement a lakehouse as their key data strategy are seeing lightning-speed data insights with horizontally scalable data-engineering pipelines.

Strategy 52

Strategy Technical Review Data Artificial Inteligence 52

O'Reilly Media - Ideas

DECEMBER 6, 2018

To assess the state of adoption of machine learning (ML) and AI, we recently conducted a survey that garnered more than 11,000 respondents. Resurgence in deep learning began in 2011/2012 with record-setting models for speech recognition and computer vision. had a national surplus of people with data science skills.

Technology 73

Technology Artificial Inteligence Machine Learning Hardware 73

O'Reilly Media - Ideas

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). AI products are automated systems that collect and learn from data to make user-facing decisions. Machine learning adds uncertainty.

Product Management 136

Product Management Artificial Inteligence Machine Learning Weak Development Team 136

Apiumhub

AUGUST 12, 2021

He has spoken at many conferences, user groups, etc., Gema Parreño Piqueras – Lead Data Science @Apiumhub Gema Parreno is currently a Lead Data Scientist at Apiumhub, passionate about machine learning and video games, with three years of experience at BBVA and later at Google in ML Prototype. Twitter: ??

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Cloudera

MAY 22, 2018

Data scientists often develop models using a variety of Python/R open source packages. you can now designate the LDAP and SAML groups for both users and administrators. Cloudera Data Science Workbench 1.4.x Learn more about how Cloudera Data Science Workbench makes your data science team more productive.

Data 42

Data Load Balancer Machine Learning Artificial Inteligence 42

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

Altexsoft

JUNE 11, 2021

an also be described as a part of business process management (BPM) that applies data science (with its data mining and machine learning techniques) to dig into the records of the company’s software, get the understanding of its processes performance, and support optimization activities. Process mining ?an

Applications 69

Applications Weak Development Team Systems Review Software Review 69

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. Adopting AI can help data quality.

Weak Development Team 125

Weak Development Team Data Technical Review Survey 125

Altexsoft

JANUARY 22, 2020

As a result, it became possible to provide real-time analytics by processing streamed data. Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview.

Analytics 20

Analytics Data IoT Analysis 20

O'Reilly Media - Ideas

JANUARY 25, 2024

Our own theory is that it’s a reaction to GPT models leaking proprietary code and abusing open source licenses; that could cause programmers to be wary of public code repositories. This change is apparently not an error in the data. Interest in operations for machine learning (MLOps) grew 14% over the past year.

Trends 111

Trends Technical Review Technology Artificial Inteligence 111

Cloudera

FEBRUARY 22, 2022

Today, we are announcing a private technical preview (TP) release of Iceberg for CDP Data Services in the public cloud, including Cloudera Data Warehousing ( CDW ) and Cloudera Data Engineering ( CDE ). . Apache Iceberg is a new open table format targeted for petabyte-scale analytic datasets.

Data 112

Data Analytics Travel Disaster Recovery 112

Altexsoft

JULY 18, 2023

Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. With its native support for in-memory distributed processing and fault tolerance, Spark empowers users to build complex, multi-stage data pipelines with relative ease and efficiency.

Weak Development Team 52

Weak Development Team Big Data Data Artificial Inteligence 52

O'Reilly Media - Ideas

JUNE 19, 2019

A look at the landscape of tools for building and deploying robust, production-ready machine learning models. Our surveys over the past couple of years have shown growing interest in machine learning (ML) among organizations from diverse industries. Why aren’t traditional software tools sufficient?

Government 78

Government Artificial Inteligence Machine Learning Testing 78

Altexsoft

NOVEMBER 7, 2022

You can hardly compare data engineering toil with something as easy as breathing or as fast as the wind. The platform went live in 2015 at Airbnb, the biggest home-sharing and vacation rental site, as an orchestrator for increasingly complex data pipelines. How data engineering works. Source: Apache Airflow.

Weak Development Team 52

Weak Development Team Technical Review Software Review Data Engineering 52

Cloudera

APRIL 26, 2023

It offers features such as data ingestion, storage, ETL, BI and analytics, observability, and AI model development and deployment. The platform offers advanced capabilities for data warehousing (DW), data engineering (DE), and machine learning (ML), with built-in data protection, security, and governance.

Cloud 65

Cloud Data Load Balancer Storage 65

Altexsoft

JULY 29, 2022

Apache Hadoop is an open-source Java-based framework that relies on parallel processing and distributed storage for analyzing massive datasets. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics. What is Hadoop? Apache Hadoop architecture.

Big Data 59

Big Data Data Google Cloud Open Source 59

BPM

JANUARY 18, 2019

The current Artificial Intelligence (AI) fascination is unfortunately completely biased on Deep Neural Networks (DNN) and Machine Learning (ML) for everything. Most importantly, I think that digital automation will increasingly be delivered from the cloud, via a platform largely built on open source software.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

O'Reilly Media - Data

MARCH 22, 2018

Over the years, machine learning (ML) has come a long way, from its existence as experimental research in a purely academic setting to wide industry adoption as a means for automating solutions to real-world problems. A deep dive into model interpretation as a theoretical concept and a high-level overview of Skater.

Off-The-Shelf 118

Off-The-Shelf Machine Learning Artificial Inteligence Weak Development Team 118

OpenCredo

MARCH 20, 2020

Naturally, we wish to prevent unauthorised data access; exfiltration attacks can occur when sensitive datasets are maliciously or accidentally transferred outside of your organisation by users who are authorised to access the data. Data Engineering. Interpretability and Explainability.

Cloud 40

Cloud Data Weak Development Team Compliance 40

Altexsoft

SEPTEMBER 28, 2021

web development, data analysis. machine learning , DevOps and system administration, automated-testing, software prototyping, and. Source: Python Developers Survey 2020 Results. I created a simple virtual machine, a simple parser, and a simple runtime. Python is not associated with a particular industry or domain.

Weak Development Team 94

Weak Development Team Programming Software Review Systems Review 94

Daniel Bryant

SEPTEMBER 13, 2019

What was worth noting was that (anecdotally) even engineers from large organisations were not looking for full workload portability (i.e. There were also two patterns of adoption of HashiCorp tooling I observed from engineers that I chatted to: Infrastructure-driven?—?in

Infrastructure 8

Infrastructure Azure Software Engineering Cloud 8

Erik Bernhardsson

JUNE 7, 2014

Blog, talk at meetups, open source stuff , go to conferences. I strongly believe that data engineers need to understand the full stack from idea, to machine learning algorithm, to code running in production. For a high performing machine learning team, I think a ratio of 1:2 is good.

Recruiting 101

Recruiting Weak Development Team Data Software Review 101

Erik Bernhardsson

JUNE 7, 2014

Blog, talk at meetups, open source stuff , go to conferences. I strongly believe that data engineers need to understand the full stack from idea, to machine learning algorithm, to code running in production. For a high performing machine learning team, I think a ratio of 1:2 is good.

Recruiting 100

Recruiting Weak Development Team Data Software Review 100

Cloudera

AUGUST 20, 2021

The Cloudera Data Platform comprises a number of ‘data experiences’ each delivering a distinct analytical capability using one or more purposely-built Apache open source projects such as Apache Spark for Data Engineering and Apache HBase for Operational Database workloads.

Strategy 100

Strategy Data Technical Review Weak Development Team 100

O'Reilly Media - Ideas

MARCH 1, 2023

For the purposes of this report, units viewed is always normalized to 1, where 1 is assigned to the greatest number of units in any group of topics. Software development is followed by IT operations (18%), which includes cloud, and by data (17%), which includes machine learning and artificial intelligence.

Trends 131

Trends Technical Review Technology Software Review 131

Altexsoft

APRIL 26, 2022

With Snowflake, multiple data workloads can scale independently from one another, serving well for data warehousing, data lakes , data science, data sharing, and data engineering. BTW, we have an engaging video explaining how data engineering works. Here are a few possible options.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Altexsoft

JUNE 7, 2021

Apache Hadoop is an open-source framework written in Java for distributed storage and processing of huge datasets. The keyword here is distributed since the data quantities in question are too large to be accommodated and analyzed by a single computer. By their role, they fall into three groups. What is Hadoop.

Big Data 98

Big Data Tools Data Storage 98

Altexsoft

DECEMBER 15, 2021

Machine learning evangelizes the idea of automation. On the surface, ML algorithms take the data, develop their own understanding of it, and generate valuable business insights and predictions — all without human intervention. In truth, ML involves an enormous amount of repetitive manual operations, all hidden behind the scenes.

Artificial Inteligence 59

Artificial Inteligence Machine Learning How To Open Source 59

Cloudera

DECEMBER 12, 2018

I was a student system administrator for the campus computing group and at that time they were migrating the campus phone book to a new tool, new to me, known as Oracle. After having rebuilt their data warehouse, I decided to take a little bit more of a pointed role, and I joined Oracle as a database performance engineer.

Data 42

Data Marketing Storage Big Data 42

Apiumhub

APRIL 8, 2021

He also writes compelling articles about Big Data and related topics for publications such as Data Science Central, DataFloq and Dataconomy. He is an advisory board member for the Big Data training category at Simplilearn and an online education provider. Kirk Borne is a Principal Data Scientist at Booz Allen Hamilton.

Artificial Inteligence 109

Artificial Inteligence Technical Advisors Data Machine Learning 109

Altexsoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. Besides that, it’s fully compatible with various data ingestion and ETL tools. How data engineering works in 14 minutes.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

O'Reilly Media - Ideas

JANUARY 25, 2022

Results in each group of topics are normalized to 1, so items within the same group can be compared (Java to Python but not Java to Ethereum, for example). Data analysis” and “data engineering” are far down in the list—possibly indicating that, while pundits are making much of the distinction, our platform users aren’t.

Trends 107

Trends Technical Review Technology Artificial Inteligence 107

O'Reilly Media - Ideas

JANUARY 25, 2021

The results are, of course, biased by the makeup of the user population of O’Reilly online learning itself. We suspect that the latter group is somewhat more conservative than the former. In practice, this means that we may have less meaningful data on the latest JavaScript frameworks or the newest programming languages.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145

Altexsoft

MARCH 14, 2023

A Modern Data Stack (MDS) is a collection of tools and technologies used to gather, store, process, and analyze data in a scalable, efficient, and cost-effective way. The term “stack” in computing means a group of technologies working together to achieve a common goal. Data democratization.

Data 59

Data Technical Review Software Review Open Source 59