CIO

SEPTEMBER 29, 2023

These skills include expertise in areas such as text preprocessing, tokenization, topic modeling, stop word removal, text classification, keyword extraction, speech tagging, sentiment analysis, text generation, emotion analysis, language modeling, and much more.

Generative AI 357

Generative AI ChatGPT Machine Learning Artificial Inteligence 357

CIO

JANUARY 19, 2024

The exam tests general knowledge of the platform and applies to multiple roles, including administrator, developer, data analyst, data engineer, data scientist, and system architect. The exam consists of 60 questions and the candidate has 90 minutes to complete it.

Artificial Inteligence 317

Artificial Inteligence Data Machine Learning Azure 317

Lacework

NOVEMBER 1, 2023

This is particularly relevant when the data potentially includes user information, and the architecture must ensure hosting of the data complies with customer preferences or regulatory requirements regarding where the data is hosted. What regional data requirements or preferences should be considered?

System Design 52

System Design Systems Review System Data 52

Capgemini

APRIL 20, 2022

This article first appeared on Capgemini’s Data-powered Innovation Review | Wave 3. In today’s data-driven economy, artificial intelligence (AI) and machine learning (ML) are powering digital transformation in every industry around the world. Data management needs AI. Accelerate engineering. Informatica.

Artificial Inteligence 98

Artificial Inteligence Data Systems Review Technical Review 98

CIO

FEBRUARY 13, 2023

CIOs anticipate an increased focus on cybersecurity (70%), data analysis (55%), data privacy (55%), AI/machine learning (55%), and customer experience (53%). This applies to his IT group as well, specifically, in using AI to automate the review of customer contracts, Nardecchia says.

Budget 363

Budget Artificial Inteligence Technical Review VR 363

Cloudera

JULY 18, 2023

As a Hive user, you will find yourself wanting to go beyond surface-level analysis, and deep dive into the intricacies of how a Hive query is executed. How do I detect problems due to skew? Are there any automated health checks to detect issues due to skews? Who are my power users, and which are my famous pools?

Systems Review 76

Systems Review Metrics Trends Performance 76

Altexsoft

AUGUST 25, 2021

Both in daily life and in business, we deal with massive volumes of unstructured text data : emails, legal documents, product reviews, tweets, etc. Sentiment analysis. Sentiment analysis results by Google Cloud Natural Language API. Low-level vs high-level NLP tasks. Text classification. Language detection.

Tools 139

Tools Artificial Inteligence Technical Review Systems Review 139

The Crazy Programmer

MAY 30, 2022

Dataquest is a self-paced learning course providing 24-week online data science courses for aspiring data scientists and data analysts. Dataquest mainly focuses on R and Python with a bit more emphasis on the data analysis. You have access to specific paths. Dataquest Cons. What is DataCamp ?

Course 173

Course Video Exercises Machine Learning 173

AWS Machine Learning - AI

JANUARY 26, 2024

If you are unfamiliar with the overall AI and ML workflow, start by reviewing 7 ways to improve security of your machine learning workloads to increase familiarity with the security controls needed for traditional AI/ML systems. There are many other AWS Security training and certification resources available.

Artificial Inteligence 119

Artificial Inteligence Generative AI Security Applications 119

O'Reilly Media - Data

JULY 10, 2018

Data scientists, data engineers, AI and ML developers, and other data professionals need to live ethical values, not just talk about them. The hard thing about being an ethical data scientist isn’t understanding ethics. It’s doing good data science. That’s what we mean by doing good data science.

Data 173

Data Weak Development Team Software Review Culture 173

Hu's Place - HitachiVantara

APRIL 11, 2019

According to the Harvard Business Review , " Cross-industry studies show that on average, less than half of an organization’s structured data is actively used in making decisions—and less than 1% of its unstructured data is analyzed or used at all.

Data Engineering 81

Data Engineering Machine Learning Artificial Inteligence Technical Review 81

Cloudera

DECEMBER 20, 2022

This is due to an improvement in plant uptime, supported by predictive maintenance applications, coupled with optimization of the fuel consumption that powers these plants, as well as fine-grained performance monitoring that eliminates over-production. . These actors are at both ends of the chain, as they produce and consume at the same time.

Energy 84

Energy Analytics Data Machine Learning 84

Altexsoft

JUNE 11, 2021

Process mining is a set of techniques for the analysis of operational processes based on event logs extracted from company’s databases, information systems, or business management software such as enterprise resource planning (ERP), customer relationship management (CRM), electronic health records (EHR), etc.

Applications 69

Applications Weak Development Team Systems Review Software Review 69

CIO

JULY 15, 2022

Over the years, DTN has bought up several niche data service providers, each with its own IT systems — an environment that challenged DTN IT’s ability to innovate. “We Very little innovation was happening because most of the energy was going towards having those five systems run in parallel.”. The merger playbook.

Systems Review 276

Systems Review Fractional CTO System Development Team Review 276

O'Reilly Media - Ideas

JUNE 4, 2019

Fundamentals of Machine Learning and Data Analytics , July 10-11. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Hands-on Machine Learning with Python: Clustering, Dimension Reduction, and Time Series Analysis , July 18. Data science and data tools.

Course 68

Course Training Artificial Inteligence Software Review 68

Capgemini

NOVEMBER 14, 2022

Unfortunately, for many organizations, this change is slowed by internal issues, fiefdoms, and siloed data and systems. But for smart organizations that have sorted out data access and sharing requirements, self-service BI drives data literacy. It needed to teach people to fish in the data lake.

Agile 52

Agile Technical Review Systems Review Artificial Intelligence 52

O'Reilly Media - Ideas

APRIL 9, 2019

A few months ago, I wrote about the differences between data engineers and data scientists. An interesting thing happened: the data scientists started pushing back, arguing that they are, in fact, as skilled as data engineers at data engineering. Data engineering is not in the limelight.

Data Engineering 111

Data Engineering Engineering Data Technical Review 111

Cloudera

NOVEMBER 12, 2020

Most of our customers’ data centers struggle to keep up with their dynamic, ever-increasing business demands. The two examples listed here represent a quick glance at the challenges customers face due to the peak demands and extreme pressure on their data centers. The last thing you need is another 1-3 month analysis project.

Data Center 103

Data Center Cloud Data Policies 103

Altexsoft

SEPTEMBER 9, 2022

Such uniform usage enables interoperability and integration between disparate systems. Interoperability is about selecting metadata standards to make your data comparable and integrable across different systems. Usually such files are kept in a database system – a metadata repository. Let’s explore what they are.

Tools 59

Tools Technical Review Software Review Systems Review 59

O'Reilly Media - Ideas

JUNE 5, 2019

Fundamentals of Machine Learning and Data Analytics , July 10-11. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Hands-on Machine Learning with Python: Clustering, Dimension Reduction, and Time Series Analysis , July 18. Data science and data tools.

Course 50

Course Training Artificial Inteligence Software Review 50

Cloudera

DECEMBER 10, 2020

Some data warehousing solutions such as appliances and engineered systems have attempted to overcome these problems, but with limited success. . Recently, cloud-native data warehouses changed the data warehousing and business intelligence landscape. The time IT spends on maintaining the data is greatly reduced.

Data 98

Data Technical Review Storage Systems Review 98

Cloudera

AUGUST 31, 2021

While this “data tsunami” may pose a new set of challenges, it also opens up opportunities for a wide variety of high value business intelligence (BI) and other analytics use cases that most companies are eager to deploy. . Traditional data warehouse vendors may have maturity in data storage, modeling, and high-performance analysis.

Data 85

Data Analytics Cloud Technical Review 85

Altexsoft

APRIL 13, 2023

Leading executives focus on building resilient and intelligent supply chains that can withstand the turmoil due to data-based proactive decisions. The ultimate goal of an SCCT is to support efficient, data-based decision-making, planning, and risk management, as well as quick and effective reactions to disruption.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Altexsoft

AUGUST 29, 2023

Instead of relying on traditional hierarchical structures and predefined schemas, as in the case of data warehouses, a data lake utilizes a flat architecture. This structure is made efficient by data engineering practices that include object storage. Watch our video explaining how data engineering works.

Architecture 52

Architecture Data Storage Machine Learning 52

UruIT

JUNE 8, 2019

Help enterprises and startups make their systems smarter. Leverage data to create UX-enhancing models . Automatically classify new support cases , estimate their complexity for further review or give automatic suggestions. Create question and answer systems and text summarization features. Data Collection and Preparation.

Machine Learning 40

Machine Learning Artificial Inteligence Systems Review Software Review 40

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

Altexsoft

APRIL 22, 2020

So, along with data scientists who create algorithms, there are data engineers, the architects of data platforms. In this article we’ll explain what a data engineer is, the field of their responsibilities, skill sets, and general role description. What is a data engineer?

Data Engineering 69

Data Engineering Engineering Artificial Inteligence Data 69

O'Reilly Media - Ideas

NOVEMBER 13, 2018

In this post, I share slides and notes from a keynote I gave at the Strata Data Conference in New York last September. As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. As noted above, fairness audits will require a mix of data and domain experts.

Machine Learning 92

Machine Learning Artificial Inteligence Software Review Conference 92

Altexsoft

OCTOBER 29, 2020

When data is subjective and accurate, it gives us a better understanding than we can fathom with our human brains. Because as any system, data processing is subject to mistakes. What is Data Engineering: Explaining the Data Pipeline, Data Warehouse, and Data Engineer Role.

Testing 63

Testing Tools Software Review Technical Review 63

Altexsoft

FEBRUARY 8, 2021

The data that your procurement management software generates can help you analyze potential suppliers’ performance by comparing their KPIs, prices, compliance, and other variables. Supplier performance review implies analyzing current suppliers’ metrics throughout your partnership which would help you with future negotiations and strategies.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

TIBCO - Connected Intelligence

DECEMBER 23, 2020

COVID-19: A Visual Data Science Analysis and Review and COVID-19 (Coronavirus) Insights from the TIBCO Data Science Team. You can check out our Spotfire COVID-19 app for real-time data updates. Data Virtualization Needs to be Part of your Data Integration Toolbox.

Technical Review 26

Technical Review Systems Review Virtualization Analytics 26

Altexsoft

JULY 23, 2020

It facilitates collaboration between a data science team and IT professionals, and thus combines skills, techniques, and tools used in data engineering, machine learning, and DevOps — a predecessor of MLOps in the world of software development. MLOps lies at the confluence of ML, data engineering, and DevOps.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

InnovationM

FEBRUARY 1, 2024

503 Service Unavailable : This error occurs when the server is unable to handle the request due to temporary overload or maintenance. Check for the Boundary value analysis for the minimum and maximum values of the acceptance criteria. b) Negative Test Cases: It is always very essential to know why negative testing is important.

Testing 52

Testing Software Review Authentication Resources 52

Hu's Place - HitachiVantara

JANUARY 3, 2019

” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared. More focus will be on the operational aspects of data rather than the fundamentals of capturing, storing and protecting data.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Existek

SEPTEMBER 28, 2023

In simple words, AI specialists are professionals involved in developing AI applications and systems. Their work contributes to the development of AI-powered applications and systems that can improve efficiency, make predictions, automate tasks, and enhance decision-making in various domains.

Artificial Inteligence 52

Artificial Inteligence Development How To Artificial Intelligence 52

O'Reilly Media - Ideas

MARCH 31, 2020

AI products are automated systems that collect and learn from data to make user-facing decisions. All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. Imagine you are a data scientist at Disney.

Product Management 139

Product Management Artificial Inteligence Machine Learning Software Review 139

Kentik

DECEMBER 5, 2016

Ad-hoc data analysis answers key questions in real time. In a recent blog post by Kentik Solutions Engineer Eric Graham we explained how we “dog food” our own NPM solution to troubleshoot network performance issues within our own cloud-based application. Our next image shows the result of the revised analysis.

Network 40

Network Performance Metrics Software Review 40