CIO

JANUARY 30, 2025

Augmented data management with AI/ML Artificial Intelligence and Machine Learning transform traditional data management paradigms by automating labour-intensive processes and enabling smarter decision-making. With machine learning, these processes can be refined over time and anomalies can be predicted before they arise.

Scalability 169

Scalability Government Trends Artificial Inteligence 169

CIO

NOVEMBER 5, 2024

Leveraging machine learning and AI, the system can accurately predict, in many cases, customer issues and effectively routes cases to the right support agent, eliminating costly, time-consuming manual routing and reducing resolution time to one day, on average. Is AI a problem-solver?

Artificial Inteligence 198

Artificial Inteligence Artificial Intelligence Machine Learning B2B 198

The Crazy Programmer

DECEMBER 25, 2021

Artificial Intelligence is a science of making intelligent and smarter human-like machines that have sparked a debate on Human Intelligence Vs Artificial Intelligence. There is no doubt that Machine Learning and Deep Learning algorithms are made to make these machines learn on their own and able to make decisions like humans.

Artificial Inteligence 336

Artificial Inteligence Artificial Intelligence Machine Learning VR 336

CIO

DECEMBER 20, 2024

Invest in core functions that perform data curation such as modeling important relationships, cleansing raw data, and curating key dimensions and measures. AI and machine learning models. Modern data architectures must be scalable to handle growing data volumes without compromising performance. Curate the data.

Architecture 183

Architecture Data Fractional CTO Technical Review 183

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

CIO

JANUARY 8, 2025

The reasons include higher than expected costs, but also performance and latency issues; security, data privacy, and compliance concerns; and regional digital sovereignty regulations that affect where data can be located, transported, and processed. That said, 2025 is not just about repatriation. Judes Research Hospital St.

Cloud 209

Cloud Technical Review Systems Review Budget 209

AWS Machine Learning - AI

DECEMBER 2, 2024

For generative AI models requiring multiple instances to handle high-throughput inference requests, this added significant overhead to the total scaling time, potentially impacting application performance during traffic spikes. We ran 5+ scaling simulations and observed consistent performance with low variations across trials.

Generative AI 93

Generative AI Artificial Inteligence Machine Learning AWS 93

CIO

JANUARY 5, 2025

SS&C Blue Prism argues that combining AI tools with automation is essential to transforming operations and redefining how work is performed.

Enterprise 187

Enterprise Generative AI Weak Development Team Technical Review 187

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 95

Artificial Inteligence Microservices Generative AI AWS 95

TechCrunch

AUGUST 7, 2022

Fed enough data, the conventional thinking goes, a machine learning algorithm can predict just about anything — for example, which word will appear next in a sentence. AI’s strength lies in its predictive prowess.

Tools 296

Tools Artificial Inteligence Machine Learning Study 296

TechCrunch

MAY 27, 2022

In 2015, the launch of YOLO — a high-performing computer vision model that could produce predictions for real-time object detection — started an avalanche of progress that sped up computer vision’s jump from research to market. Perform a thorough risk assessment. He holds an S.M. in Electrical Engineering and a B.S.

Artificial Inteligence 338

Artificial Inteligence Machine Learning Construction Research 338

InnovationM

MARCH 18, 2025

As training progresses, we gradually decrease the learning rate to fine-tune the models performance. By dynamically adjusting the learning rate over the epochs, we ensure that our models make significant progress in the initial stages and fine-tune their weights in later stages. Early stopping is a safeguard against overfitting.

Performance 64

Performance Training Artificial Inteligence Artificial Intelligence 64

CIO

DECEMBER 12, 2024

Successful pilot projects or well-performing algorithms may give business leaders false hope, he says. In some use cases, older AI technologies, such as machine learning or neural networks, may be more appropriate, and a lot cheaper, for the envisioned purpose. The bigger picture can tell a different story, he adds.

Data 201

Data Survey Artificial Inteligence Education 201

TechCrunch

NOVEMBER 18, 2021

Today, enterprises are in a similar phase of trying out and accepting machine learning (ML) in their production environments, and one of the accelerating factors behind this change is MLOps. Similar to cloud-native startups, many startups today are ML native and offer differentiated products to their customers.

Enterprise 344

Enterprise Artificial Inteligence Data Engineering Data Center 344

AWS Machine Learning - AI

APRIL 10, 2025

In this post, we demonstrate how to effectively perform model customization and RAG with Amazon Nova models as a baseline. Fine-tuning is one such technique, which helps in injecting task-specific or domain-specific knowledge for improving model performance.

Case Study 108

Case Study Artificial Inteligence Study Generative AI 108

TechCrunch

JANUARY 5, 2022

However, today’s startups need to reconsider the MVP model as artificial intelligence (AI) and machine learning (ML) become ubiquitous in tech products and the market grows increasingly conscious of the ethical implications of AI augmenting or replacing humans in the decision-making process.

Artificial Inteligence 354

Artificial Inteligence Minimum Viable Product Agile Artificial Intelligence 354

CIO

JANUARY 9, 2025

Before LLMs and diffusion models, organizations had to invest a significant amount of time, effort, and resources into developing custom machine-learning models to solve difficult problems. In many cases, this eliminates the need for specialized teams, extensive data labeling, and complex machine-learning pipelines.

Artificial Inteligence 192

Artificial Inteligence Software Review Software Enterprise 192

AWS Machine Learning - AI

NOVEMBER 1, 2024

This process involves updating the model’s weights to improve its performance on targeted applications. The result is a significant improvement in task-specific performance, while potentially reducing costs and latency. However, achieving optimal performance with fine-tuning requires effort and adherence to best practices.

Artificial Inteligence 91

Artificial Inteligence Generative AI Training Metrics 91

CIO

APRIL 23, 2025

Delta Lake: Fueling insurance AI Centralizing data and creating a Delta Lakehouse architecture significantly enhances AI model training and performance, yielding more accurate insights and predictive capabilities. A critical consideration emerges regarding enterprise AI platform implementation.

Insurance 158

Insurance Artificial Inteligence Data Architecture 158

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 106

Generative AI AWS Enterprise Artificial Inteligence 106

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.

Generative AI 115

Generative AI AWS Artificial Inteligence Applications 115

AWS Machine Learning - AI

OCTOBER 17, 2024

With the advent of generative AI and machine learning, new opportunities for enhancement became available for different industries and processes. Personalized care : Using machine learning, clinicians can tailor their care to individual patients by analyzing the specific needs and concerns of each patient.

AWS 103

AWS Artificial Inteligence Generative AI Machine Learning 103

AWS Machine Learning - AI

APRIL 9, 2025

Although an individual LLM can be highly capable, it might not optimally address a wide range of use cases or meet diverse performance requirements. In contrast, more complex questions might require the application to summarize a lengthy dissertation by performing deeper analysis, comparison, and evaluation of the research results.

Artificial Inteligence 117

Artificial Inteligence Generative AI AWS Applications 117

CIO

APRIL 16, 2025

enterprise architects ensure systems are performing at their best, with mechanisms (e.g. Cross-cutting perspectives The enterprise architect must also address and trade-off on: Performance: Ensuring that systems perform efficiently and meet business expectations.

Technical Review 172

Technical Review Enterprise Strategy Innovation 172

CIO

MARCH 18, 2025

Post-training is a set of processes and techniques for refining and optimizing a machine learning model after its initial training on a dataset. It is intended to improve a models performance and efficiency and sometimes includes fine-tuning a model on a smaller, more specific dataset.

Artificial Inteligence 139

Artificial Inteligence Microservices Data Center Azure 139

Xebia

APRIL 17, 2025

Built-in Evaluation: Systematically assess agent performance. BigFrames provides a Pythonic DataFrame and machine learning (ML) API powered by the BigQuery engine. offers a scikit-learn-like API for ML. ADK powers the newly announced Agentspace, Google’s research agent and Google customer support agents.

Google Cloud 147

Google Cloud Artificial Inteligence Cloud Video 147

AWS Machine Learning - AI

OCTOBER 29, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

Generative AI 104

Generative AI Applications AWS Knowledge Base 104

AWS Machine Learning - AI

NOVEMBER 14, 2024

If an image is uploaded, it is stored in Amazon Simple Storage Service (Amazon S3) , and a custom AWS Lambda function will use a machine learning model deployed on Amazon SageMaker to analyze the image to extract a list of place names and the similarity score of each place name.

Artificial Inteligence 104

Artificial Inteligence Generative AI Travel AWS 104

Cloudera

NOVEMBER 13, 2024

Several LLMs are publicly available through APIs from OpenAI , Anthropic , AWS , and others, which give developers instant access to industry-leading models that are capable of performing most generalized tasks. Users can compare the performance of different prompts on different models. Evaluate the performance of trained LLMs.

Artificial Inteligence 87

Artificial Inteligence Training Machine Learning Performance 87

AWS Machine Learning - AI

APRIL 10, 2025

This means users can build resilient clusters for machine learning (ML) workloads and develop or fine-tune state-of-the-art frontier models, as demonstrated by organizations such as Luma Labs and Perplexity AI. Frontier model builders can further enhance model performance using built-in ML tools within SageMaker HyperPod.

Training 101

Training Artificial Inteligence Hardware Systems Review 101

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 105

Generative AI Video Engineering Artificial Inteligence 105

AWS Machine Learning - AI

NOVEMBER 15, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Generative AI 113

Generative AI AWS Groups Artificial Inteligence 113

AWS Machine Learning - AI

MARCH 26, 2025

The model demonstrates improved performance in image quality, typography, and complex prompt understanding. Shes passionate about machine learning technologies and environmental sustainability. He focuses on machine learning, environmental sustainability, and application modernization.

Generative AI 103

Generative AI Games Development AWS 103

AWS Machine Learning - AI

NOVEMBER 27, 2024

To maximize performance and optimize training, organizations frequently need to employ advanced distributed training strategies. For attention computation, an AllGather operation is performed for K and V across the context parallel ranks belonging to GPU 0 and GPU 1.

Training 101

Training Artificial Inteligence AWS Machine Learning 101

CIO

NOVEMBER 27, 2024

Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.

Data 211

Data Enterprise Weak Development Team Software Review 211