CIO

FEBRUARY 14, 2023

To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making. It’s also used to deploy machine learning models, data streaming platforms, and databases. That’s not to say it’ll be easy.

Artificial Inteligence 276

Artificial Inteligence Strategy Data Machine Learning 276

N2Growth Blog

APRIL 11, 2024

Artificial Intelligence , machine learning, and data analytics have emerged as clear frontrunners. By recognizing these diverse dimensions of human potential, organizations can ensure a multi-faceted leadership pipeline prepared to tackle future business challenges effectively.

Trends 176

Trends Artificial Inteligence Technical Review Artificial Intelligence 176

Cloudera

NOVEMBER 29, 2023

In the dynamic world of machine learning operations (MLOps), staying ahead of the curve is essential. That’s why we’re excited to announce the Cloudera Model Registry as generally available, a game-changer that’s set to transform the way you manage your machine learning models in production environments.

Machine Learning 82

Machine Learning Artificial Inteligence Cloud Scalability 82

Hacker Earth Developers Blog

AUGUST 2, 2022

More than just a supercomputer generation, AI recreated human capabilities in machines. In some cases, Data-driven recruiting and HR analytics use tangible company analysis and skills insights to solve recurring recruitment challenges and create high-quality talent pipelines.

Software Engineering 246

Software Engineering Artificial Inteligence Engineering Software 246

Prisma Clud

NOVEMBER 14, 2023

So while the Azure CLI doesn’t perform anything buggy, when executed in a pipeline with the echoed credentials stored in the pipeline’s log — we suddenly find ourselves in a “who should be able to read the logs” kind of problem. Eventually, we find ourselves with a pipeline emitting raw credentials to its log, similar to pattern 1.

Azure 143

Azure Software Review Report Tools 143

DevOps.com

MARCH 12, 2024

Artificial intelligence (AI) and machine learning (ML) can play a transformative role across the software development lifecycle, with a special focus on enhancing continuous testing (CT).

Artificial Inteligence 60

Artificial Inteligence Testing Artificial Intelligence Machine Learning 60

Cloudera

JUNE 2, 2021

Data pipelines are in high demand in today’s data-driven organizations. As critical elements in supplying trusted, curated, and usable data for end-to-end analytic and machine learning workflows, the role of data pipelines is becoming indispensable.

Data 88

Data Data Engineering Machine Learning Artificial Inteligence 88

QBurst

FEBRUARY 28, 2022

Scaling machine learning pipelines using PyTorch can be a pain. You typically start a PyTorch-based machine learning project by defining the model architecture. Then you run it on a CPU machine and progressively create a training pipeline.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Architecture Training 52

Cloudera

APRIL 9, 2021

This is part 4 in this blog series. This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The second blog dealt with creating and managing Data Enrichment pipelines. The ML Challenge.

Machine Learning 98

Machine Learning Artificial Inteligence Data Data Engineering 98

Tenable

APRIL 16, 2024

But sometimes we like to give you a peek behind the curtain to share how we protect our own house against cyberattacks – and that’s what this blog is about. Today we’re sharing our experience adopting the supply-chain security framework SLSA, with the hopes that the lessons we learned will be helpful to you.

Software Review 70

Software Review Software Systems Review Guidelines 70

Perficient

FEBRUARY 13, 2024

The benefits of using Dolly on Databricks Dolly is a cutting-edge data analytics platform that offers advanced analytics capabilities, including machine learning algorithms, data visualization tools, and natural language processing. The complexity of data pipelines makes it challenging to identify all possible test scenarios.

Artificial Inteligence 52

Artificial Inteligence Analytics Machine Learning Testing 52

Hacker Earth Developers Blog

OCTOBER 17, 2022

One reason that can be attributed to a lack of skills is the advancement of technology, people just don’t have time to familiarize themselves with the new technology, and by the time they do, there is already something else in the pipeline. A good artificial intelligence specialist should know about the following: Machine learning.

Artificial Inteligence 130

Artificial Inteligence Security Artificial Intelligence Blockchain 130

CIO

OCTOBER 25, 2023

What can enterprises learn from these trends, and what future enterprise developments can we expect around generative AI? Zscaler The risks of leveraging AI and ML tools As we discussed in a recent blog , the risks of using generative AI tools in the enterprises are significant. Artificial Intelligence, Machine Learning

Generative AI 324

Generative AI Artificial Inteligence Enterprise ChatGPT 324

Palo Alto Networks

NOVEMBER 9, 2023

Our blog and video series, “ This is How We Do It, ” offers a behind-the-scenes, candid exposé of how Palo Alto Networks protects its security operations center (SOC) using its own solutions. Through a combination of machine learning and human expertise, Devin and his team reduce the number of critical alerts that require attention.

Artificial Inteligence 73

Artificial Inteligence Artificial Intelligence Machine Learning Firewall 73

Dzone - DevOps

DECEMBER 4, 2023

This blog aims to dissect two instrumental pillars in the quest for this intelligence: Data Integration and AI-driven insights. It's because this integrated data often serves as the basis for machine learning models, real-time analytics, and even for driving automation that can span across multiple departments in an organization.

Data 59

Data Machine Learning Artificial Inteligence Software Engineering 59

Cloudera

DECEMBER 17, 2020

When it comes to machine learning (ML) in the enterprise, there are many misconceptions about what it actually takes to effectively employ machine learning models and scale AI use cases. Accelerating the Full Machine Learning Lifecycle With Cloudera Data Platform.

Artificial Inteligence 79

Artificial Inteligence Machine Learning Data Engineering Engineering 79

Cloudera

JUNE 26, 2023

For data engineering teams, Airflow is regarded as the best in class tool for orchestration (scheduling and managing end-to-end workflow) of pipelines that are built using programming languages like Python and SPARK. So which open source pipeline tool is better, NiFi or Airflow? Visit our Data and IT Leaders page to learn more.

Tools 75

Tools Data Engineering Analytics Testing 75

Prisma Clud

SEPTEMBER 14, 2023

Learn how a novel attack vector in GitHub Actions allows attackers to distribute malware across repositories using a technique that exploits the actions dependency tree and puts countless open-source projects and internal repositories at risk. The second way actions can depend on other actions is through the action’s CI/CD pipeline.

Malware 144

Malware Open Source Research Software 144

O'Reilly Media - Ideas

JUNE 9, 2020

The biggest problem facing machine learning today isn’t the need for better algorithms; it isn’t the need for more computing power to train models; it isn’t even the need for more skilled practitioners. It’s getting machine learning from the researcher’s laptop to production.

Machine Learning 108

Machine Learning Artificial Inteligence Training Metrics 108

Cloudera

JANUARY 6, 2021

Python is used extensively among Data Engineers and Data Scientists to solve all sorts of problems from ETL/ELT pipelines to building machine learning models. In this blog series, we will explain how to configure PySpark and HBase together for basic Spark use as well as for jobs maintained in CDSW. Introduction.

Machine Learning 131

Machine Learning Artificial Inteligence Data Applications 131

Hacker Earth Developers Blog

JUNE 26, 2019

An ideal candidate has skills in the 3 fields: mathematics/ statistics/ machine learning/ programming and business/ domain knowledge. . Machine Learning and Programming. Apart from the programming skills, the candidate should have a good understanding of machine learning concepts like: Classification and Regression.

Data 200

Data How To Recruiting Machine Learning 200

Prisma Clud

OCTOBER 19, 2023

Following up on our recent blog post where we touched on code-to-cloud remediation as part of new features in the Prisma Cloud Darwin release , we'd like to delve deeper into remediation. What permissions do vulnerable machines or containers have? Video: Learn how to remediate misconfigurations, first in code and then in the cloud.

Software Review 80

Software Review Cloud Weak Development Team DevOps 80

DataRobot

NOVEMBER 16, 2021

Many organizations, including state and local governments, are dipping their toes into machine learning (ML) and artificial intelligence (AI). As we’ve discussed in this blog series, some are already reaping the rewards of AI through increased productivity, cost savings, etc. What is MLOps? What is MLOps? Issues with Monitoring.

Artificial Inteligence 98

Artificial Inteligence Machine Learning Weak Development Team Government 98

Cloudera

OCTOBER 19, 2021

Airflow has been adopted by many Cloudera Data Platform (CDP) customers in the public cloud as the next generation orchestration service to setup and operationalize complex data pipelines. Until now, the setup of such pipelines still required knowledge of Airflow and the associated python configurations. Easing development friction.

Data Engineering 114

Data Engineering Engineering Data Virtualization 114

Netflix Tech

MARCH 10, 2023

This platform has evolved from supporting studio applications to data science applications, machine-learning applications to discover the assets metadata, and build various data facts. Hence we built the data pipeline that can be used to extract the existing assets metadata and process it specifically to each new use case.

Data 94

Data Metrics Machine Learning Artificial Inteligence 94

Cloud That

NOVEMBER 16, 2022

Nowadays, With the increment in the production of a vast variety of data from multiple resources inside the pipelines, the preprocessing steps to manage those amounts of data are also tough in the pipelines. Amazon SageMaker Model Building Pipelines – Use SageMaker Pipelines to automate model deployment.

Data 68

Data Case Study Storage Cloud 68

Tenable

DECEMBER 8, 2022

In this blog, we highlight five insights from the report, which offers a deep dive on DevSecOps trends as well as concrete recommendations to keep DevSecOps efforts on the right track. Learn more. We also provide insights on how Tenable can help. It also allows for the definition of custom policy-as-code to meet unique requirements.

Survey 98

Survey Cloud Software Review Serverless 98

Prisma Clud

JUNE 22, 2023

Advanced WildFire is a cloud-delivered service that uses ​patented machine learning detection engines to identify 99% of known and unknown malware. Two years ago we started offering a native integration with Advanced WildFire for advanced malware analysis for containers and hosts in CI/CD pipelines and in runtime.

Malware 76

Malware Linux Windows Operating System 76

N2Growth Blog

DECEMBER 8, 2023

With the advent of advanced algorithms and machine learning capabilities, recruiters now have access to a vast pool of talent that was previously untapped. Building a talent pipeline requires strategic planning and implementation of effective strategies that resonate with legal professionals.

Recruiting 152

Recruiting Artificial Inteligence Culture Trends 152

Cloudera

OCTOBER 5, 2020

Cloudera announced today a new collaboration with NVIDIA that will help Cloudera customers accelerate data engineering, analytics, machine learning and deep learning performance with the power of NVIDIA GPU computing across public and private clouds. Compared to previous CPU-based architectures, CDP 7.1 with Spark 3.0

Enterprise 87

Enterprise Cloud Data Machine Learning 87

CIO

APRIL 24, 2023

When prompted with natural language instructions, one can use these learnings in a context-specific manner to generate an output of astonishing sophistication. Deep learning emerged in academia in the early 2000s, with broader industry adoption starting around 2010. Transfer learning emerged in the mid-2000s and quickly became popular.

Generative AI 130

Generative AI Artificial Inteligence Enterprise Software Review 130

Prisma Clud

SEPTEMBER 21, 2023

In this blog post, we delve into Zero Trust and the best practices that exemplify it in cloud environments. Leveraging advanced machine learning, Prisma Cloud monitors normal network behavior in each customer's cloud environment and detects network anomalies and zero-day attacks with remarkable accuracy. Palo Alto Networks.

Cloud 105

Cloud Network Policies Machine Learning 105

Xebia

DECEMBER 9, 2023

Click to read the PDF version GitHub Actions [1] are a powerful way of creating a pipeline to act on events in GitHub. You also need to keep the tools on that machine up to date with all the security patches. Most workflows create an artifact to deploy into an environment and store the artifacts in the pipeline environment.

Software Review 130

Software Review DevOps Examples Engineering 130

Cloudera

AUGUST 8, 2022

The general availability covers Iceberg running within some of the key data services in CDP, including Cloudera Data Warehouse ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). Cloudera Machine Learning . In the final stage of our ETL pipeline, we load new data into this partition.

How To 87

How To Travel Machine Learning Artificial Inteligence 87

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. Therefore, the majority of machine learning/deep learning frameworks focus on Python APIs.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

CircleCI

JANUARY 13, 2023

Today, we want to share with you what happened, what we’ve learned, and what our plans are to continuously improve our security posture for the future. What we learned from this incident and what we will do next. This machine was compromised on December 16, 2022. On January 4, 2023, we alerted customers to a security incident.

Report 145

Report Systems Review Malware Software Review 145

Trigent

SEPTEMBER 30, 2021

The adoption of systems based on Artificial Intelligence (AI) and Machine Learning (ML) has seen an exponential rise in the past few years and is expected to continue to do so. Secondly, the data that is available for creating a Machine Learning model is a subset of the real-world data. billion in 2021 to USD 309.6

Testing 98

Testing Applications Artificial Inteligence Strategy 98