CIO

DECEMBER 20, 2024

AI and machine learning models. According to data platform Acceldata , there are three core principles of data architecture: Scalability. Modern data architectures must be scalable to handle growing data volumes without compromising performance. Scalable data pipelines. Application programming interfaces.

Architecture 183

Architecture Data Fractional CTO Technical Review 183

CIO

DECEMBER 30, 2024

AI and machine learning are poised to drive innovation across multiple sectors, particularly government, healthcare, and finance. AI and machine learning evolution Lalchandani anticipates a significant evolution in AI and machine learning by 2025, with these technologies becoming increasingly embedded across various sectors.

Trends 158

Trends Innovation IoT Disaster Recovery 158

CIO

OCTOBER 24, 2024

TRECIG, a cybersecurity and IT consulting firm, will spend more on IT in 2025 as it invests more in advanced technologies such as artificial intelligence, machine learning, and cloud computing, says Roy Rucker Sr., We’re consistently evaluating our technology needs to ensure our platforms are efficient, secure, and scalable,” he says.

Data Center 200

Data Center Artificial Inteligence Generative AI Artificial Intelligence 200

CIO

APRIL 16, 2025

to identify opportunities for optimizations that reduce cost, improve efficiency and ensure scalability. Software architecture: Designing applications and services that integrate seamlessly with other systems, ensuring they are scalable, maintainable and secure and leveraging the established and emerging patterns, libraries and languages.

Technical Review 172

Technical Review Enterprise Strategy Innovation 172

CIO

JANUARY 5, 2025

By leveraging AI technologies such as generative AI, machine learning (ML), natural language processing (NLP), and computer vision in combination with robotic process automation (RPA), process and task mining, low/no-code development, and process orchestration, organizations can create smarter and more efficient workflows.

Enterprise 187

Enterprise Generative AI Weak Development Team Technical Review 187

CIO

NOVEMBER 12, 2024

The hunch was that there were a lot of Singaporeans out there learning about data science, AI, machine learning and Python on their own. Because a lot of Singaporeans and locals have been learning AI, machine learning, and Python on their own. I needed the ratio to be the other way around! And why that role?

Artificial Inteligence 174

Artificial Inteligence Weak Development Team Training Artificial Intelligence 174

TechCrunch

NOVEMBER 16, 2020

Arrikto , a startup that wants to speed up the machine learning development lifecycle by allowing engineers and data scientists to treat data like code, is coming out of stealth today and announcing a $10 million Series A round. “We make it super easy to set up end-to-end machine learning pipelines. .

Artificial Inteligence 280

Artificial Inteligence Machine Learning Open Source Software Development 280

Dzone - DevOps

DECEMBER 31, 2024

MLOps, or Machine Learning Operations, is a set of practices that combine machine learning (ML), data engineering, and DevOps to streamline and automate the end-to-end ML model lifecycle. MLOps is an essential aspect of the current data science workflows.

Artificial Inteligence 96

Artificial Inteligence Machine Learning Scalability Data Engineering 96

Xebia

APRIL 17, 2025

Native Multi-Agent Architecture: Build scalable applications by composing specialized agents in a hierarchy. BigFrames provides a Pythonic DataFrame and machine learning (ML) API powered by the BigQuery engine. offers a scikit-learn-like API for ML. BigFrames 2.0

Google Cloud 130

Google Cloud Artificial Inteligence Cloud Video 130

AWS Machine Learning - AI

DECEMBER 4, 2024

Scalable infrastructure – Bedrock Marketplace offers configurable scalability through managed endpoints, allowing organizations to select their desired number of instances, choose appropriate instance types, define custom auto scaling policies that dynamically adjust to workload demands, and optimize costs while maintaining performance.

Artificial Inteligence 88

Artificial Inteligence Microservices Generative AI AWS 88

CIO

MARCH 20, 2025

AI practitioners and industry leaders discussed these trends, shared best practices, and provided real-world use cases during EXLs recent virtual event, AI in Action: Driving the Shift to Scalable AI. And its modular architecture distributes tasks across multiple agents in parallel, increasing the speed and scalability of migrations.

Artificial Inteligence 139

Artificial Inteligence Enterprise Insurance Artificial Intelligence 139

TechCrunch

MAY 24, 2022

Called Hugging Face Endpoints on Azure, Hugging Face co-founder and CEO Clément Delangue described it as a way to turn Hugging Face-developed AI models into “scalable production solutions.” ” “The mission of Hugging Face is to democratize good machine learning,” Delangue said in a press release.

Azure 246

Azure Artificial Inteligence Machine Learning Off-The-Shelf 246

CIO

JANUARY 14, 2025

The gap between emerging technological capabilities and workforce skills is widening, and traditional approaches such as hiring specialized professionals or offering occasional training are no longer sufficient as they often lack the scalability and adaptability needed for long-term success.

Technical Advisors 187

Technical Advisors Strategy Training Survey 187

Dzone - DevOps

APRIL 9, 2025

When combined with the transformative capabilities of artificial intelligence (AI) and machine learning (ML), serverless architectures become a powerhouse for creating intelligent, scalable, and cost-efficient solutions. By abstracting the complexities of infrastructure, AWS enables teams to focus on innovation.

Serverless 52

Serverless Artificial Inteligence Scalability AWS 52

Crunchbase News

OCTOBER 17, 2024

The startup uses light to link chips together and to do calculations for the deep learning necessary for AI. The Columbus, Ohio-based company currently has two robotic welding products in the market, both leveraging vision systems, artificial intelligence and machine learning to autonomously weld steel parts.

Data Center 121

Data Center Artificial Inteligence Data Energy 121

CIO

DECEMBER 5, 2024

The ideal solution should be scalable and flexible, capable of evolving alongside your organization’s needs. Opt for platforms that can be deployed within a few months, with easily integrated AI and machine learning capabilities.

Enterprise 158

Enterprise Data Insurance Business Intelligence 158

CIO

NOVEMBER 1, 2024

The team opted to build out its platform on Databricks for analytics, machine learning (ML), and AI, running it on both AWS and Azure. I want to provide an easy and secure outlet that’s genuinely production-ready and scalable. The biggest challenge is data. Marsh McLennan created an AI Academy for training all employees.

Generative AI 183

Generative AI Technical Advisors Insurance Weak Development Team 183

Xebia

OCTOBER 24, 2024

Better Accuracy Through Advanced Machine Learning One key limitation of standard demand forecasting tools is that they generally use predefined algorithms or models that are not optimized for every business. Long-Term Scalability One significant advantage of a custom-built solution is that it scales with your business.

Retail 130

Retail Artificial Inteligence Machine Learning Scalability 130

AWS Machine Learning - AI

OCTOBER 29, 2024

This engine uses artificial intelligence (AI) and machine learning (ML) services and generative AI on AWS to extract transcripts, produce a summary, and provide a sentiment for the call. Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability.

Generative AI 98

Generative AI Video Engineering Artificial Inteligence 98

AWS Machine Learning - AI

NOVEMBER 6, 2024

Traditionally, building frontend and backend applications has required knowledge of web development frameworks and infrastructure management, which can be daunting for those with expertise primarily in data science and machine learning. The full code of the demo is available in the GitHub repository.

Generative AI 108

Generative AI AWS Artificial Inteligence Applications 108

AWS Machine Learning - AI

DECEMBER 2, 2024

Finally, we delve into the supported frameworks, with a focus on LMI, PyTorch, Hugging Face TGI, and NVIDIA Triton, and conclude by discussing how this feature fits into our broader efforts to enhance machine learning (ML) workloads on AWS. This feature is only supported when using inference components. gpu-py311-cu124-ubuntu22.04-sagemaker",

Generative AI 86

Generative AI Artificial Inteligence Machine Learning AWS 86

Xebia

FEBRUARY 23, 2025

By boosting productivity and fostering innovation, human-AI collaboration will reshape workplaces, making operations more efficient, scalable, and adaptable. We observe that the skills, responsibilities, and tasks of data scientists and machine learning engineers are increasingly overlapping.

Trends 130

Trends Data Artificial Inteligence Weak Development Team 130

AWS Machine Learning - AI

NOVEMBER 15, 2024

The flexible, scalable nature of AWS services makes it straightforward to continually refine the platform through improvements to the machine learning models and addition of new features. All AWS services are high-performing, secure, scalable, and purpose-built.

Generative AI 111

Generative AI AWS Groups Artificial Inteligence 111

CIO

NOVEMBER 1, 2024

The team opted to build out its platform on Databricks for analytics, machine learning (ML), and AI, running it on both AWS and Azure. I want to provide an easy and secure outlet that’s genuinely production-ready and scalable. The biggest challenge is data. Marsh McLellan created an AI Academy for training all employees.

Generative AI 158

Generative AI Technical Advisors Insurance Weak Development Team 158

Apiumhub

DECEMBER 9, 2024

Also combines data integration with machine learning. Spark Pools for Big Data Processing Synapse integrates with Apache Spark, enabling distributed processing for large datasets and allowing machine learning and data transformation tasks within the same platform. When Should You Use Azure Synapse Analytics?

Azure 91

Azure Analytics Storage Artificial Inteligence 91

AWS Machine Learning - AI

MARCH 26, 2025

She helps AWS Enterprise customers grow by understanding their goals and challenges, and guiding them on how they can architect their applications in a cloud-native manner while making sure they are resilient and scalable. Shes passionate about machine learning technologies and environmental sustainability.

Generative AI 95

Generative AI Games Development AWS 95

AWS Machine Learning - AI

NOVEMBER 7, 2024

SageMaker JumpStart is a machine learning (ML) hub that provides a wide range of publicly available and proprietary FMs from providers such as AI21 Labs, Cohere, Hugging Face, Meta, and Stability AI, which you can deploy to SageMaker endpoints in your own AWS account. It’s serverless so you don’t have to manage the infrastructure.

Generative AI 99

Generative AI AWS Artificial Inteligence Enterprise 99

The Crazy Programmer

MARCH 15, 2021

It is a very versatile, platform independent and scalable language because of which it can be used across various platforms. It is frequently used in developing web applications, data science, machine learning, quality assurance, cyber security and devops. It is highly scalable and easy to learn.

Programming 317

Programming Open Source Trends Quality Assurance 317

AWS Machine Learning - AI

NOVEMBER 1, 2024

Without a scalable approach to controlling costs, organizations risk unbudgeted usage and cost overruns. This scalable, programmatic approach eliminates inefficient manual processes, reduces the risk of excess spending, and ensures that critical applications receive priority. However, there are considerations to keep in mind.

Generative AI 126

Generative AI AWS Artificial Inteligence Budget 126

CIO

NOVEMBER 4, 2024

Consistent data access, quality, and scalability are essential for AI, emphasizing the need to protect and secure data in any AI initiative. AI applications rely heavily on secure data, models, and infrastructure. Data governance is also critical, with AI pushing it from an afterthought to a primary focus.

Infrastructure 193

Infrastructure Marketing Data Artificial Inteligence 193

CIO

MARCH 14, 2025

With generative AI on the rise and modalities such as machine learning being integrated at a rapid pace, it was only a matter of time before a position responsible for its deployment and governance became widespread. In many companies, they overlap with the functions of the CIO, the CDO, the CTO, and even the CISO.

Artificial Inteligence 194

Artificial Inteligence Artificial Intelligence Government Generative AI 194

Perficient

NOVEMBER 17, 2024

It enables seamless and scalable access to SAP and non-SAP data with its business context, logic, and semantic relationships preserved. A data lakehouse is a unified platform that combines the scalability and flexibility of a data lake with the structure and performance of a data warehouse. What is SAP Datasphere?

Artificial Inteligence 59

Artificial Inteligence Machine Learning Architecture Analytics 59

Xebia

DECEMBER 23, 2024

Scalability and Flexibility: The Double-Edged Sword of Pay-As-You-Go Models Pay-as-you-go pricing models are a game-changer for businesses. In these scenarios, the very scalability that makes pay-as-you-go models attractive can undermine an organization’s return on investment.

Data 130

Data Storage Culture Resources 130

Xebia

DECEMBER 23, 2024

Scalability and Flexibility: The Double-Edged Sword of Pay-As-You-Go Models Pay-as-you-go pricing models are a game-changer for businesses. In these scenarios, the very scalability that makes pay-as-you-go models attractive can undermine an organization’s return on investment.

Data 130

Data Storage Culture Resources 130

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

Palo Alto Networks

OCTOBER 21, 2024

Powered by Precision AI™ – our proprietary AI system – this solution combines machine learning, deep learning and generative AI to deliver advanced, real-time protection. Machine learning analyzes historical data for accurate threat detection, while deep learning builds predictive models that detect security issues in real time.

Compliance 109

Compliance Virtualization Conference Generative AI 109

TechCrunch

MARCH 23, 2022

With offices in Tel Aviv and New York, Datagen “is creating a complete CV stack that will propel advancements in AI by simulating real world environments to rapidly train machine learning models at a fraction of the cost,” Vitus said. ” Investors that had backed Datagen’s $18.5

Automotive 242

Automotive Artificial Inteligence Machine Learning VR 242