CIO

JULY 28, 2023

Pivoting to tech provider JLL’s move to develop facilities management software is part of an expanded business model that has enabled the company to perform well in tough times, says Morin, who is employing a hybrid strategy for software development in which JLL Technologies will both build in-house and partner with other SaaS vendors.

Real Estate 246

Real Estate Artificial Inteligence Generative AI Data Center 246

CIO

OCTOBER 13, 2023

Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence. Data architect vs. data engineer The data architect and data engineer roles are closely related.

Data 331

Data Database Administration Data Engineering Artificial Inteligence 331

KitelyTech

FEBRUARY 15, 2023

With so many different options available, such as AWS, Azure, and Google Cloud, it is important to understand the differences between each platform and how they can best meet your business needs. Cloud computing is the process of storing and accessing data over the internet, rather than a computer’s hard drive.

Google Cloud 52

Google Cloud Azure AWS Cloud 52

O'Reilly Media - Ideas

JUNE 6, 2023

AI, and specifically large language models, continue to dominate the news–so much so that it’s no longer a well-defined topic, with clear boundaries. PaLM 2 is included, but not the larger LLaMA models. A new AI stack is emerging, using LLMs as endpoints and vector stores for local data. But that’s hardly news.

Artificial Inteligence 92

Artificial Inteligence Trends ChatGPT Open Source 92

Xebia

AUGUST 17, 2023

In my recent endeavor, I explored a seamless integration of serverless architecture with the power of generative AI to auto-caption images on Google Cloud Platform (GCP). TL;DR We’ve built an automated, serverless system on Google Cloud Platform where: Users upload images to a Google Cloud Storage Bucket.

Generative AI 130

Generative AI Serverless Google Cloud Technical Review 130

TechCrunch

JUNE 17, 2021

Designers will pixel push, frontend engineers will add clicks to make it more difficult to drop out of a soporific Zoom call, but few companies are ever willing to rip out their database storage engine. It’s a database that can be either self-hosted or purchased as a cloud service offering which it dubs Aura.

Analysis 252

Analysis Enterprise Artificial Inteligence Data 252

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 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

OTS Solutions

JUNE 2, 2023

has been transforming the manufacturing sector through the integration of advanced technologies such as artificial intelligence, the Internet of Things, and big data analytics. These technologies allow mobile apps to learn and adapt to specific equipment conditions, further reducing the risk of equipment failures.

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

CTOvision

FEBRUARY 20, 2015

Hortonworks'' Hadoop Data Platform (HDP) is now a supported feature on Google Cloud. Jason Verge, "Hortonworks Becomes Official Google Cloud Feature". Hortonworks was already available on Microsoft''s Azure cloud, and Amazon''s AWS. Hortonworks Becomes Official Google Cloud Feature (datacenterknowledge.com).

Google Cloud 108

Google Cloud Cloud Big Data Azure 108

The Crazy Programmer

SEPTEMBER 25, 2023

Get 1 GB of free storage. Features: 1GB runtime memory 10,000 API requests 1GB Object Storage 512MB storage 3 Cron tasks Try Cyclic Google Cloud Now developers can experience low latency networks & host your apps for your Google products with Google Cloud. You can host various other Node.js

Serverless 180

Serverless AWS Google Cloud Azure 180

Perficient

MARCH 19, 2024

If you have built or are building a Data Lake on the Google Cloud Platform (GCP) and BigQuery you already know that BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.

Data 111

Data Google Cloud Analytics Serverless 111

TechCrunch

MAY 18, 2022

“Coming from engineering and machine learning backgrounds, [Heartex’s founding team] knew what value machine learning and AI can bring to the organization,” Malyuk told TechCrunch via email. But Malyuk believes that Heartex’s focus on software as opposed to services sets it apart from the rest.

Open Source 203

Open Source Weak Development Team Artificial Inteligence Data 203

Exadel

FEBRUARY 20, 2023

The technological landscape has evolved to include AI assistants, self-driving cars, and machine learning solutions that process data in a blink of an eye. Cloud-based AI services make this possible. Major cloud service providers have paved a way for AI in the cloud. More was yet to come for AI in the cloud.

Artificial Inteligence 52

Artificial Inteligence Cloud Machine Learning Azure 52

John Snow Labs

AUGUST 29, 2023

It’s a well-established principle: any LLM, whether open-source or proprietary, isn’t dependable without a RAG. Anticipate swifter inferences, seamless optimizations, and quantization for exporting LLM models. MPNet, a cherished sentence-embedding LLM boasting 140+ ready-to-use models!

Artificial Inteligence 98

Artificial Inteligence Azure Sport Storage 98

Lacework

SEPTEMBER 19, 2023

With the launch of dozens of new detections including cloud storage enumeration, service account deletion, and changes in network communication, the findings on data analyzed by Lacework’s enhanced visibility has grown significantly. Lacework provides deeper and broader detections through a variety of upgraded capabilities.

Google Cloud 116

Google Cloud Cloud Storage .Net 116

CIO

MARCH 31, 2023

And for AMD’s most critical engineering applications, the answer remains its own data centers — not the cloud. That’s because chipmakers like AMD require mega cores of compute power and memory, as well as petabytes of storage, to run their design applications.

Engineering 289

Engineering Data Center AWS Cloud 289

Datavail

JULY 7, 2022

With finite hardware restrictions on computational power and storage, companies often struggle to adapt when facing unprecedented demand for analytics workloads. Cloud analytics, on the other hand, can handle this data in real time or near-real time, allowing businesses to respond nearly instantaneously to emerging trends.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

Linux Academy

APRIL 26, 2019

Let me be honest, right up front: Google Cloud Functions are amazing. I just spent the last several months immersed in them so I could bring you the Google Cloud Functions Deep Dive , and I’m blown away by their flexibility, ease-of-use, and potential. First, an image is uploaded to a Google Cloud Storage bucket.

Google Cloud 60

Google Cloud Cloud Machine Learning Artificial Inteligence 60

CIO

SEPTEMBER 2, 2022

The most in-demand skills include DevOps, Java, Python, SQL, NoSQL, React, Google Cloud, Microsoft Azure, and AWS tools, among others. Back-end software engineers are responsible for maintaining the structure of server-side information by optimizing servers, implementing security measures, and developing data storage solutions.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

AUGUST 31, 2022

The most in-demand skills include DevOps, Java, Python, SQL, NoSQL, React, Google Cloud, Microsoft Azure, and AWS tools, among others. Back-end software engineers are responsible for maintaining the structure of server-side information by optimizing servers, implementing security measures, and developing data storage solutions.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

Agile Engine

FEBRUARY 20, 2019

Trend 2: Machine Learning is the New Black. Now that Big Data is officially a boring technology, machine learning became another buzzword hitting the spotlight. In August 2018, deep learning reached the peak of Gartner’s Hype Cycle for Emerging Technologies. Cloud EDW (Data Warehouse). Google BigQuery.

Big Data 71

Big Data Google Cloud Data Azure 71

John Snow Labs

AUGUST 29, 2023

It’s a well-established principle: any LLM, whether open-source or proprietary, isn’t dependable without a RAG. Anticipate swifter inferences, seamless optimizations, and quantization for exporting LLM models. MPNet, a cherished sentence-embedding LLM boasting 140+ ready-to-use models!

Artificial Inteligence 52

Artificial Inteligence Azure Sport Storage 52

Apiumhub

MARCH 12, 2024

Implementation: Using edge computing frameworks like AWS IoT Greengrass or Azure IoT Edge to deploy machine learning models directly on edge devices for real-time data analysis. AI-Driven Security Analytics Artificial Intelligence (AI) is playing a pivotal role in enhancing cloud security.

Trends 52

Trends Innovation Cloud Serverless 52

Openxcell

JANUARY 6, 2023

Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. Cloud computing definition. Cloud computing – How does it work? The cost of cloud storage varies depending on your needs. They pay for it as they need it.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Tenable

FEBRUARY 9, 2024

A whopping 51% of compromises suffered by Google Cloud customers in 2023 were caused by credential issues, namely the use of weak passwords or of no passwords at all. That’s a key insight from the “H1 2024 Threat Horizons Report,” published this week by Google's Cybersecurity Action Team.

Weak Development Team 66

Weak Development Team Infrastructure Generative AI Artificial Inteligence 66

Mobilunity

MAY 20, 2021

Cloud engineering is a quickly developing industry that concerns all things cloud services. For example, everyone has cloud storage available on their smartphones or connected to their Google account. As mentioned before, there are different cloud providers with their specific platforms. Amazon AWS.

Engineering 52

Engineering Cloud Google Cloud Azure 52

Openxcell

APRIL 7, 2023

Machine Learning has noticed rapid growth—resulting in the creation of numerous tools and platforms for creating, evaluating, and deploying Machine Learning Models. The most popular Machine Learning tools have earned wide adoption in different industry settings and have active user and contributor groups.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Tools Artificial Intelligence 52

Hu's Place - HitachiVantara

MAY 10, 2019

Rule-based fraud detection software is being replaced or augmented by machine-learning algorithms that do a better job of recognizing fraud patterns that can be correlated across several data sources. DataOps is required to engineer and prepare the data so that the machine learning algorithms can be efficient and effective.

Data 90

Data Machine Learning Artificial Inteligence Weak Development Team 90

O'Reilly Media - Ideas

OCTOBER 5, 2021

Stanford’s Institute for Human-Centered Artificial Intelligence is creating a group to study the impact of “foundational” models on issues like bias and fairness. Foundational models are very large models like GPT-3 on which other models are built. Can machine learning learn to unlearn ?

Trends 122

Trends Open Source Artificial Inteligence Study 122

Cloudera

FEBRUARY 7, 2019

Enabling this transformation is the HDP platform, along with SAS Viya on Google Cloud , which has delivered machine learning models and personalization at scale. The company has shifted from developing tools to now providing services, which has brought additional productivity and enhanced the customer experience.

Big Data 67

Big Data Analytics Google Cloud Cloud 67

Kentik

AUGUST 3, 2021

Some of the biggest benefits when adopting a hybrid-cloud configuration are: Applications in the cloud often have greater redundancy and elasticity. This allows DevOps teams to configure the application to increase or decrease the amount of system capacity, like CPU, storage, memory and input/output bandwidth, all on-demand.

Weak Development Team 124

Weak Development Team Network Cloud AWS 124

OpenCredo

APRIL 20, 2021

Machine learning has great potential for many businesses, but the path from a Data Scientist creating an amazing algorithm on their laptop, to that code running and adding value in production, can be arduous. This typically requires retraining or otherwise updating the model with the fresh data. Monitoring. Why this blog post?

Machine Learning 140

Machine Learning Artificial Inteligence Software Review Open Source 140

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Forbes notes that a full transition to the cloud has proved more challenging than anticipated and many companies will use hybrid cloud solutions to transition to the cloud at their own pace and at a lower risk and cost. This will be a blend of private and public hyperscale clouds like AWS, Azure, and Google Cloud Platform.

Cloud 78

Cloud Google Cloud Azure AWS 78

CircleCI

SEPTEMBER 7, 2021

For many organizations, cloud computing has become an indispensable tool for communication and collaboration across distributed teams. Whether you are on Amazon Web Services (AWS), Google Cloud, or Azure. the cloud can reduce costs, increase flexibility, and optimize resources. Cloud storage.

Cloud 52

Cloud Backup Disaster Recovery Serverless 52

Mobilunity

DECEMBER 9, 2021

IBM is a globally recognized company that not only produces computer hardware and software and provides a secure and open cloud for general use. The IBM cloud architecture is a next-generation hybrid cloud platform that supports sophisticated data processing and artificial intelligence. >>> Cisco Cloud.

Cloud 52

Cloud Google Cloud Azure Serverless 52

Data Virtualization

NOVEMBER 27, 2019

For Google Cloud fans, the wait is over. You can now take advantage of the Denodo Platform’s data virtualization capabilities via offerings on the Google Cloud Platform (GCP) Marketplace. With Denodo’s connector for Google BigQuery, you can experience a whole.

Google Cloud 14

Google Cloud Cloud Virtualization Data 14

ParkMyCloud

JUNE 20, 2019

Azure AKS manages your hosted Kubernetes environment, making it simple to deploy and manage containerized applications without container orchestration expertise, divesting much of that responsibility to Azure – much like EKS and GKE do for AWS and Google Cloud. Machine Learning model training with AKS.

Azure 62

Azure Microservices Google Cloud IoT 62