CIO

APRIL 27, 2023

Artificial intelligence and machine learning (AI/ML) were not advanced enough to accurately capture, organize, and interpret the data to make accurate recommendations. Machine learning has also greatly advanced over the past several years. There were also limitations in technology. web UI, APIs, mobile).

Network 246

Network Artificial Inteligence Artificial Intelligence Machine Learning 246

CIO

SEPTEMBER 8, 2023

And, in late 2021, J&J introduced AI knee and hip implant machine-learning driven predictions specifically for TKA and THA implant sizing and patient surgical needs — a project that earned the company a 2023 CIO 100 Award for IT innovation and leadership.

Artificial Inteligence 262

Artificial Inteligence Healthcare Weak Development Team Machine Learning 262

Apiumhub

MARCH 23, 2021

The concept of Data lake architecture has recently become a hot topic. These days, businesses use data to define their internal business objectives and metrics. Data lakes really became the cornerstones of modern big data architecture. Data Lake Architecture benefits. Modern Data Lake Architecture tips.

Architecture 52

Architecture Artificial Inteligence Data Machine Learning 52

AWS Machine Learning - AI

FEBRUARY 6, 2024

To support overarching pharmacovigilance activities, our pharmaceutical customers want to use the power of machine learning (ML) to automate the adverse event detection from various data sources, such as social media feeds, phone calls, emails, and handwritten notes, and trigger appropriate actions. The training jobs used an ml.p3dn.24xlarge

Artificial Inteligence 90

Artificial Inteligence Pharmaceuticals Healthcare Generative AI 90

CIO

APRIL 12, 2024

The knowledge base offers information about land, animals, and other rural topics customers may ask about, even when the request isn’t about a product in the store, says Glenn Allison, vice president of IT enterprise architecture and IT solutions.

Artificial Inteligence 287

Artificial Inteligence Retail Artificial Intelligence Knowledge Base 287

CIO

JUNE 28, 2023

When you create an app bundle, AppFabric creates the required AWS Identity and Access Management (IAM) role in your AWS account, which is required to send metrics to Amazon CloudWatch and to access AWS resources such as Amazon Simple Storage Service (Amazon S3) and Amazon Kinesis Data Firehose,” AWS wrote in a blog post.

Generative AI 340

Generative AI AWS Artificial Inteligence Windows 340

TechCrunch

MARCH 7, 2023

What differentiates Overhaul is a strong emphasis on AI and machine learning, Conlon asserts. “Our platform can ingest complex datasets with zero need for new architecture or data structure,” Conlon said. Tive , a startup developing supply chain visibility tools, raised $54 million last April.

Artificial Inteligence 197

Artificial Inteligence Machine Learning Transportation Healthcare 197

AWS Machine Learning - AI

JANUARY 26, 2024

Understanding and addressing LLM vulnerabilities, threats, and risks during the design and architecture phases helps teams focus on maximizing the economic and productivity benefits generative AI can bring. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

Artificial Inteligence 115

Artificial Inteligence Generative AI Security Applications 115

TechCrunch

OCTOBER 7, 2021

The underlying large-scale metrics storage technology they built was eventually open sourced as M3. Mao and co-founder Rob Skillington (CTO) founded Chronosphere on the back of early work that they started at Uber, where they built an observability platform very specific to Uber’s needs as a business.

Cloud 209

Cloud Sport Open Source Artificial Inteligence 209

CIO

NOVEMBER 22, 2022

The next step in every organization’s data strategy, Guan says, should be investing in and leveraging artificial intelligence and machine learning to unlock more value out of their data. “Failing to meet these needs means getting left behind and missing out on the many opportunities made possible by advances in data analytics.”

Trends 363

Trends Strategy Enterprise Artificial Inteligence 363

AWS Machine Learning - AI

APRIL 3, 2024

Amazon OpenSearch Service now supports the cosine similarity metric for k-NN indexes. Amazon SageMaker Studio – It is an integrated development environment (IDE) for machine learning (ML). The following diagram illustrates the solution architecture. You then display the top similar results.

Artificial Inteligence 93

Artificial Inteligence Serverless Engineering Generative AI 93

TechCrunch

MAY 3, 2022

Edge Delta aims its tools at DevOps, site-reliability engineers and security teams — groups that focus on analyzing logs, metrics, events, traces and other large data troves, often in real time, to do their work. “Our special sauce is in this distributed mesh network of agents,” Unlu said.

Data 192

Data Artificial Inteligence Lambda Analytics 192

AWS Machine Learning - AI

MAY 30, 2024

In this blog, we walkthrough the architectural components, evaluation criteria for the components selected by Vitech and the process flow of user interaction within VitechIQ. Processing framework LangChain offered seamless machine learning (ML) model integration, allowing Vitech to build custom automated AI components and be model agnostic.

Artificial Inteligence 95

Artificial Inteligence Technical Review Development Team Review Software Review 95

CIO

MAY 29, 2024

Even though large companies have been working with machine learning for quite some time now, their models aren’t as sophisticated as the larger open-source models, says Sundberg. It’s important for CIOs to have metrics on the CO2 emission for a given application,” says Sundberg. This allows them to weigh the costs and benefits.

Sustainability 264

Sustainability Artificial Inteligence Energy Guidelines 264

CIO

JANUARY 4, 2023

Moving forward, we will see workflows that are more capable and widely adopted to facilitate edge-core-cloud needs like generating meshes, performing 3D simulations, performing post-simulation data analysis, and feeding data into machine learning models—which support, guide, and in some case replace the need for simulation.

Artificial Inteligence 146

Artificial Inteligence Data Center Artificial Intelligence Analytics 146

OverOps

MAY 15, 2019

Technical debt is bound to accumulate at every company, whether it’s a mammoth Enterprise or a bright-eyed AI-Machine-Learning-Blockchain startup. However, it’s not all sunshine and rainbows in the microservice architecture, and there are a few downsides that come when switching to this method. It’s both, really.

Microservices 273

Microservices Weak Development Team How To Architecture 273

Cloudera

MARCH 22, 2023

Over the past handful of years, systems architecture has evolved from monolithic approaches to applications and platforms that leverage containers, schedulers, lambda functions, and more across heterogeneous infrastructures. There are many logs and metrics, and they are all over the place.

Metrics 89

Metrics Government Lambda Systems Administration 89

Mobilunity

NOVEMBER 19, 2023

Methods to Extract Data Insights Machine Learning Algorithms : Machine learning leverages algorithms to enable computers to learn from and make predictions or decisions based on data. Deep Learning : A subset of machine learning, deep learning uses artificial neural networks to process and understand complex data.

UI/UX 52

UI/UX Data Artificial Inteligence Machine Learning 52

Netflix Tech

JUNE 7, 2021

Flow Exporter The Flow Exporter is a sidecar that uses eBPF tracepoints to capture TCP flows at near real time on instances that power the Netflix microservices architecture. The Flow Exporter also publishes various operational metrics to Atlas. These metrics are visualized using Lumen , a self-service dashboarding infrastructure.

Network 130

Network IPv6 Transportation AWS 130

CIO

JUNE 21, 2023

A common but critical challenge I hear from CIOs, CTOs, and CDOs every day is that they have a difficult time helping the C-suite understand that IT is the very architecture for the future of business, not a cost center. Quantify the value: Use data and metrics to demonstrate the potential return on investment (ROI) of IT initiatives.

Generative AI 263

Generative AI Innovation Artificial Inteligence Technical Advisors 263

Netflix Tech

JANUARY 13, 2022

Troubleshooting these problems is not a trivial task and requires collecting logs and metrics from several different systems and analyzing them to identify the root cause. Streaming Pensive Streaming Pensive Architecture Apache Flink powers real-time stream processing jobs in the Netflix data platform.

Data 95

Data Systems Review Big Data Software Review 95

OverOps

JULY 1, 2019

The divergence sneaks up on us and we only discover it when things become unstable and start to topple, or cross integrations are too complex because it’s not built with a solid architecture. There are many types of analysis we can perform to ensure reliability, though, going far beyond the log files.

Weak Development Team 250

Weak Development Team Artificial Inteligence How To Analysis 250

Cloudera

FEBRUARY 25, 2021

Cloudera has a front-row seat to organizational challenges as those enterprises make Machine Learning a core part of their strategies and businesses. The work of a machine learning model developer is highly complex. Build a semantic search application with deep learning models. Analyzing News Headlines with SpaCy.

Artificial Inteligence 84

Artificial Inteligence Machine Learning Telecommunications Enterprise 84

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 94

Enterprise Cloud Data Artificial Inteligence 94

OTS Solutions

JULY 18, 2023

To measure the success of DevOps in enterprise digital engineering, organizations should track key metrics such as deployment frequency, lead time for changes, and mean time to recovery. Artificial intelligence and machine learning will also play a significant role in automating and optimizing DevOps processes.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

DataRobot

JUNE 27, 2022

Monitoring Modern Machine Learning (ML) Methods In Production. In our previous two posts, we discussed extensively how modelers are able to both develop and validate machine learning models while following the guidelines outlined by the Federal Reserve Board (FRB) in SR 11-7. Monitoring Model Metrics.

Compliance 59

Compliance Metrics Training Systems Review 59

Linux Academy

MARCH 28, 2019

While Machine Learning is just a subset of true Artificial Intelligence vendors of infrastructure automation have coined a new buzz acronym, AIOps. N-Tier architectures and micro-services applications must be tuned for performance. Federating Metrics. Scaling MultiCluster Kubernetes Infrastructure.

Artificial Inteligence 60

Artificial Inteligence Metrics Machine Learning Linux 60

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. Here are two typical machine learning workflows. Monitoring. Does it only do so at weekends, or near Christmas?

Machine Learning 140

Machine Learning Artificial Inteligence Software Review Open Source 140

CircleCI

NOVEMBER 18, 2021

IT infrastructure increasingly relies on complicated deployments, multi-cloud architectures, and huge amounts of data. AIOps uses machine learning and big data to assist IT operations. The strength of machine learning is its ability to analyze and act on this monumental amount of data.

Artificial Inteligence 52

Artificial Inteligence Weak Development Team Artificial Intelligence Machine Learning 52

O'Reilly Media - Ideas

JULY 28, 2020

The first step in building an AI solution is identifying the problem you want to solve, which includes defining the metrics that will demonstrate whether you’ve succeeded. It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about. Agreeing on metrics.

Marketing 145

Marketing Weak Development Team Metrics UI/UX 145

OpenCredo

NOVEMBER 22, 2023

Data is established as the driving force behind many industries today, and having a modern data architecture is pivotal for organizations to be successful. Architecture Flink is great at data processing for streaming data, providing low-latency performance and advanced windowing functions and has evolved from version 1.4

Data 59

Data AWS Policies Architecture 59

DataRobot

MAY 26, 2022

Validating Modern Machine Learning (ML) Methods Prior to Productionization. Validating Machine Learning Models. Figure 4: DataRobot provides an interactive ROC curve specifying relevant model performance metrics on the bottom right.

Compliance 52

Compliance Metrics Artificial Inteligence Machine Learning 52

Kentik

JANUARY 31, 2023

Network monitoring tools use various techniques for data gathering, including polling, collecting metrics from network devices, and scraping traffic logs. This data may include performance metrics and resource usage of the devices, as well as the applications and services running on them.

Network 105

Network Analysis Data Center Metrics 105

Cloudera

JANUARY 31, 2024

It forms a foundational element for building robust and reliable distributed architectures. Not all REST API endpoints and SMM UI features are supported The /v2/topic-metrics/{target}/{downstreamTopic}/{metric} endpoint of the SRM Service v2 API does not work properly with prefixless replication.

Policies 70

Policies Metrics Load Balancer Software Review 70

OTS Solutions

JULY 18, 2023

To measure the success of DevOps in enterprise digital engineering, organizations should track key metrics such as deployment frequency, lead time for changes, and mean time to recovery. Artificial intelligence and machine learning will also play a significant role in automating and optimizing DevOps processes.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

Altexsoft

FEBRUARY 11, 2023

What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority. To get a better understanding of a data architect’s role, let’s clear up what data architecture is. machine learning and deep learning models; and business intelligence tools.

Data 87

Data Data Engineering Big Data Architecture 87

Exadel

JULY 12, 2021

These are: AEM architecture and design, AEM performance issues and scalability, AEM maintenance and support, AEM security, AEM customer experience and content strategy, and automation. AEM architecture and design. Develop a SOLID architecture. Want to learn more. AEM performance and scalability. Contact Us.

Architecture 98

Architecture Scalability Testing Performance 98