Altexsoft

JUNE 29, 2021

In a world fueled by disruptive technologies, no wonder businesses heavily rely on machine learning. Google, in turn, uses the Google Neural Machine Translation (GNMT) system, powered by ML, reducing error rates by up to 60 percent. The role of a machine learning engineer in the data science team.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

d2iq

JANUARY 18, 2022

In this post , we’ll discuss how D2iQ Kaptain on Amazon Web Services (AWS) directly addresses the challenges of moving machine learning workloads into production, the steep learning curve for Kubernetes, and the particular difficulties Kubeflow can introduce.

Artificial Inteligence 72

Artificial Inteligence Machine Learning AWS Weak Development Team 72

O'Reilly Media - Data

JULY 23, 2018

Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. Machine Learning in the enterprise". Managing data science in the enterprise.

Machine Learning 123

Machine Learning Artificial Inteligence How To Case Study 123

CIO

OCTOBER 13, 2023

As this technology becomes more popular, it’s increased the demand for relevant roles to help design, develop, implement, and maintain gen AI technology in the enterprise. This role is responsible for training, developing, deploying, scheduling, monitoring, and improving scalable machine learning solutions in the enterprise.

Generative AI 359

Generative AI Company Machine Learning Artificial Inteligence 359

d2iq

FEBRUARY 19, 2021

Except in many enterprises. Going from a prototype to production is perilous when it comes to machine learning: most initiatives fail , and for the few models that are ever deployed, it takes many months to do so. As little as 5% of the code of production machine learning systems is the model itself.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

CIO

AUGUST 24, 2023

Every business today needs an enterprise-ready stack to deliver on the magic that is possible with AI. Enterprises are racing to provide this human level of interaction with their customers. On the other hand, leading companies will use an enterprise-ready stack that is secure, scalable, and real time, with a low TCO.

Generative AI 246

Generative AI Artificial Inteligence Open Source Scalability 246

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. This can only be achieved if the underlying data infrastructure is unified, robust, and efficient.

Artificial Inteligence 290

Artificial Inteligence Strategy Data Machine Learning 290

O'Reilly Media - Data

JUNE 5, 2018

Today, just 15% of enterprises are using machine learning, but double that number already have it on their roadmaps for the upcoming year. However, in talking with CEOs looking to implement machine learning in their organizations, there seems to be a common problem in moving machine learning from science to production.

Artificial Inteligence 166

Artificial Inteligence Machine Learning Software Review Weak Development Team 166

CIO

JANUARY 8, 2024

Cloud optimization is the new initiative in 2024,” says Rajeev Nair, general manager of IT infrastructure and security at Cathay, a major airliner and cargo carrier in the Asia-Pacific region, with headquarters in Hong Kong. At the same time, enterprises are increasingly pursuing zero-trust strategies.

Airlines 297

Airlines Cloud Blockchain Generative AI 297

TechCrunch

SEPTEMBER 27, 2021

As more enterprises migrate to cloud-based architectures, they are also taking on more applications (because they can) and, as a result of that, more complex workloads and storage needs. Machine learning and other artificial intelligence applications add even more complexity.

Artificial Inteligence 246

Artificial Inteligence Applications Cloud Artificial Intelligence 246

TechCrunch

APRIL 20, 2023

Fast-forward to today and CoreWeave provides access to over a dozen SKUs of Nvidia GPUs in the cloud, including H100s, A100s, A40s and RTX A6000s, for use cases like AI and machine learning, visual effects and rendering, batch processing and pixel streaming. ” It’ll also be put toward expanding CoreWeave’s team.

Artificial Inteligence 244

Artificial Inteligence Cloud Generative AI Google Cloud 244

CIO

JANUARY 4, 2023

IT and infrastructure from the 1990s,” said Casey A. So, I’ll use this opportunity to point out what questions CIOs should be asking about their enterprises based on what we can already discern from last week’s Southwest Airlines IT disaster. Are you investing enough in digital transformation? 31 what amounts to $428 million a year.

Airlines 361

Airlines Off-The-Shelf Weak Development Team Software Development 361

CIO

FEBRUARY 13, 2023

Upgrading cloud infrastructure is critical for deploying broad AI initiatives more quickly, so that’s a key area where investments are being made this year. Fifty-two percent of organizations plan to increase or maintain their IT spending this year, according to Enterprise Strategy Group.

Budget 363

Budget Artificial Inteligence Technical Review VR 363

CIO

FEBRUARY 16, 2024

For most organizations, a shift to the cloud brings scalability, access to innovative tools, and the possibility of cost savings. For payroll services company ADP, it has paved the way to becoming a SaaS provider capable of taking on big names in enterprise software. An early partner of Amazon, the Roseburg, N.J.-based

Cloud 290

Cloud Generative AI AWS Azure 290

CIO

SEPTEMBER 18, 2023

For consumers and enterprises alike, 5G offers the tantalizing promise of faster speeds, lower latency, and greater possibilities for unlocking the power of edge computing — but only if your devices can connect. A less-automated approach lengthens the migration process and opens the door to ‘hiccups’ in functionality.”

Telecommunications 278

Telecommunications Network Systems Review Software Review 278

IDC

DECEMBER 2, 2019

This blog lists the top 10 worldwide predictions for enterprise infrastructure. These technology predictions are meant to help the enterprise with strategic planning within a typical five-year business planning cycle. Once a business has committed to digital transformation, they tend to follow a common path.

Infrastructure 52

Infrastructure Enterprise Artificial Inteligence Hardware 52

IDC

JUNE 24, 2019

While we’ve discussed the disruptive power that artificial intelligence (AI) applications bring to enterprise organizations, the truth is that AI adoption is still low for these businesses. Here are just three of the technical innovations that enterprises can use to better leverage the disruptive power of AI: 1. Embedded AI.

Artificial Inteligence 105

Artificial Inteligence Innovation Enterprise Machine Learning 105

CIO

MARCH 26, 2024

Enterprise CIOs have always been at a disadvantage competing with tech firms for skilled IT pros, but accelerated transformation efforts and an AI gold rush have significantly intensified the talent war, prompting CIOs to increasingly turn to outside firms for help. Last June, for example, Dun & Bradstreet launched D&B.AI

Technical Review 312

Technical Review Technical Advisors Development Team Review Artificial Inteligence 312

d2iq

JULY 8, 2021

To get you started on the right track, we compare Rancher and D2iQ Kubernetes Platform (DKP) across the top production-grade capabilities to consider while evaluating an enterprise Kubernetes solution. 4) Broad Workload Coverage Your Kubernetes platform should allow you to run complex, mission critical services and machine learning use cases.

Enterprise 69

Enterprise Open Source Machine Learning Artificial Inteligence 69

Datavail

APRIL 18, 2023

Furthermore, global cloud infrastructure expenditure is projected to exceed $118 billion by the year 2025. Therefore, as most businesses continue to migrate organisational workloads, data systems and infrastructure to the cloud, it is crucial to select the right cloud vendor to satisfy your business’s preferences and requirements.

Infrastructure 52

Infrastructure Performance Cloud Software Review 52

Exadel

DECEMBER 18, 2020

Many real-life Machine Learning (ML) use cases imply multi-tenant architecture and require training a model for every user. A common way to deploy Machine Learning models is to write a Flask service with a /predict endpoint and wrap it into a Docker container. Enterprise-level security, scalability, MLOps etc.

Machine Learning 52

Machine Learning Artificial Inteligence Storage Training 52

TechCrunch

OCTOBER 7, 2021

Data observability — necessary to keep tabs on infrastructure performing as it should; to see if apps are returning errors; and to ensure that critical business data is getting to where it needs to go — is becoming an evermore complicated task as organizations’ cloud-native data demands and data usage grow.

Cloud 209

Cloud Sport Open Source Machine Learning 209

O'Reilly Media - Data

OCTOBER 31, 2019

Theodore Summe offers a glimpse into how Twitter employs machine learning throughout its product. Megan Kacholia explains how Google’s latest innovations provide an ecosystem of tools for developers, enterprises, and researchers who want to build scalable ML-powered applications.

Machine Learning 198

Machine Learning Artificial Inteligence IoT Open Source 198

Datavail

AUGUST 1, 2023

Oracle Cloud Infrastructure (OCI) has emerged as a preferred choice for businesses seeking a robust and secure cloud platform. When it comes to migrating their critical enterprise resource planning (ERP) systems like PeopleSoft, organizations are turning to OCI to harness its unparalleled capabilities.

Infrastructure 52

Infrastructure Cloud Systems Review Storage 52

d2iq

JUNE 13, 2022

While organizations have been moving to modernize their IT infrastructures by adopting cloud-native Kubernetes technologies, the pandemic helped accelerate this movement. Organizations that fail to adopt cloud-native infrastructures that can accommodate AI risk falling dangerously behind their competitors.

Enterprise 81

Enterprise Cloud Artificial Inteligence Open Source 81

OTS Solutions

JULY 18, 2023

In today’s digital age, the success of any enterprise is increasingly dependent on its ability to deliver high-quality software products and services quickly and efficiently. To meet this demand, enterprises have turned to DevOps and digital engineering practices to streamline their software development and delivery processes.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

Newgen Software

JUNE 5, 2024

In today’s rapidly evolving business landscape, establishing robust GenAI and machine learning capabilities is of the utmost importance, especially for enterprises managing substantial data volumes. Enterprise-wide Collaboration Tereza collaborates with several stakeholders to build this solution.

Banking 52

Banking Machine Learning Artificial Inteligence Generative AI 52

TechCrunch

MAY 15, 2023

“ Together team is committed to creating a vibrant open ecosystem that allows anyone from individuals to enterprises to participate.” “As enterprises define their generative AI strategies, they’re looking for privacy, transparency, customization and ease of deployment. . Google Cloud, AWS, Azure).

Open Source 229

Open Source Generative AI ChatGPT Hardware 229

TechCrunch

MARCH 30, 2023

Called Fixie , the firm, founded by former engineering heads at Apple and Google, aims to connect text-generating models similar to OpenAI’s ChatGPT to an enterprise’s data, systems and workflows. “The core of Fixie is its LLM-powered agents that can be built by anyone and run anywhere.”

Artificial Inteligence 255

Artificial Inteligence ChatGPT Company Generative AI 255

Cloudera

JANUARY 30, 2019

Trusted by large data science teams across hundreds of enterprises —. Data scientists require on-demand access to data, powerful processing infrastructure, and multiple tools and libraries for development and experimentation. Beyond Notebooks — Secure and Scalable for Enterprise by Design. What is CDSW?

Machine Learning 76

Machine Learning Artificial Inteligence Data Open Source 76

CIO

MAY 12, 2023

The next move, Hannah says, is to delve deeper into how GDIT can evolve more corporate assets into cloud-native, virtualized applications that can be optimized for the scalability, flexibility, and cost savings of its 100% multicloud infrastructure.

Strategy 246

Strategy Disaster Recovery Weak Development Team Cloud 246

OTS Solutions

JULY 18, 2023

In today’s digital age, the success of any enterprise is increasingly dependent on its ability to deliver high-quality software products and services quickly and efficiently. To meet this demand, enterprises have turned to DevOps and digital engineering practices to streamline their software development and delivery processes.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

CIO

DECEMBER 11, 2023

™ , an AI-powered intelligent document processing solution for back-office operations that uses machine learning, natural language processing, and computer vision. These include our core solutions EXELIA.AI™ ™ an AI-based tool that delivers human-like customer engagement to improve call center operations; and XTRAKTO.AI™

Generative AI 189

Generative AI Artificial Inteligence Healthcare Artificial Intelligence 189

Palo Alto Networks

FEBRUARY 22, 2024

Kyndryl is the world’s largest infrastructure services provider, and Palo Alto Networks is the leading cybersecurity solutions provider. The good news is that private 5G networks allow companies to have full control over their network infrastructure, leading to better security, data privacy outcomes and flexibility, if implemented right.

Network 83

Network Industry Artificial Inteligence Artificial Intelligence 83

Prisma Clud

JUNE 13, 2024

From fostering a security-first culture to leveraging the scalability of the cloud, we examine the multifaceted approach required to safeguard your cloud ecosystem. Leveraging Cloud Scalability Cloud environments can scale resources up or down based on demand, which is crucial for maintaining performance without compromising security.

Cloud 52

Cloud Software Review Policies Systems Review 52

CIO

JUNE 7, 2023

This data in turn is used to train and serve machine learning models. Let’s take a look at why Cassandra is the database of choice for organizations building enterprise-scale, real-time AI applications. It’s time to reconsider your data infrastructure and invest in the right technology to fuel your growth.

Organization 130

Organization Artificial Inteligence Open Source Architecture 130

Datavail

JANUARY 11, 2024

However, as your business grows and demands more flexibility and scalability, you may consider migrating your Oracle EBS to the cloud. Amazon Web Services (AWS) is a notable cloud platform that can provide your business with various tools and services to help you host your enterprise applications, data, and overall infrastructure.

AWS 74

AWS Disaster Recovery Artificial Inteligence Scalability 74