Forget quiet quitting - AI 'workslop' is the new office morale killer
发布日期:2025-09-24
Don't risk your professional reputation on this.
WhyLabs platform enables MLOps with model and data monitoring for efficient issue detection and prevention.
发布日期:2025-09-24
Don't risk your professional reputation on this.
发布日期:2025-09-23
As companies race to implement AI, many are finding that project success hinges directly on the quality of their data. This dependency is causing many ambitious initiatives to stall, never making it beyond the experimental proof-of-concept stage. So, what’s the secret to turning these experiments into real revenue generators? AI News caught up with Martin […] The post Martin Frederik, Snowflake: Data quality is key to AI-driven growth appeared first on AI News.
发布日期:2025-09-23
Nearly everything you've heard about AI and job cuts is just plain wrong - an analytics guru explains why.
发布日期:2025-09-22
This promise of deploying 10 gigawatts of NVIDIA-powered to OpenAI in the next decade dwarfs all of NVIDIA's previous AI software investments combined.
发布日期:2025-09-22
The debate around AI-generated music and who profits from it continues.
发布日期:2025-09-19
Dell Technologies is betting on AI as companies move from small pilots to full-scale deployments, with the focus now on how organisations can turn AI into measurable results. But scaling AI is not easy. It demands strong infrastructure, reliable data management, and the ability to deploy models quickly in different workflows. Dell has positioned itself […] The post Christian Spindeldreher, Dell Technologies: Powering AI at scale appeared first on AI News.
发布日期:2025-09-19
US President Donald Trump said on Thursday that AI was “taking over the world,” and joked that he hoped tech executives understood it better than he did. The comment came as Trump and UK Prime Minister Keir Starmer hosted a gathering of business and technology leaders in London during the president’s second state visit to […] The post Trump jokes about AI while US and UK sign new tech deal appeared first on AI News.
发布日期:2025-09-17
A new research report from technology advisory firm Information Services Group (ISG) has revealed AI threats and more stringent regulations are shifting the French cybersecurity landscape, resulting in businesses reassessing their security strategies. Increasing security budgets mean many French enterprises require fresh guidance and expertise to establish effective priorities and combat their security challenges. According […] The post AI-enabled threats and stricter regulation in France appeared first on AI News.
发布日期:2025-09-17
Fintech, regtech, and cybersecurity vendor, CSI has teamed with HuLoop, a provider of an AI-powered, no-code automation platform, to help banks improve efficiency. The partnership will present CSI’s NuPoint Core Banking System to financial institutions, and is designed to help companies manage accounts, transactions, and other banking operations. NuPoint customers will have access to HuLoop’s […] The post CSI and HuLoop deliver AI-driven efficiency to banks appeared first on AI News.
发布日期:2025-09-15
American maritime technology company Mythos AI has completed the installation of its Advanced Pilot Assistance System (APAS) aboard the vessel CB Pacific, a chemical cargo ship owned by CB Tankers. The APAS project is designed to manage navigation at sea. Unlike most traditional systems in this space that depend largely on machine vision, APAS uses […] The post Mythos AI and lomarlabs deploy sea-pilot AI assistance appeared first on AI News.
What is WhyLabs AI Observability Platform?
The WhyLabs AI Observability Platform is a cloud-agnostic solution that enables MLOps by providing model monitoring and data monitoring capabilities. It supports monitoring of any type of data at any scale. The platform helps detect data and machine learning (ML) issues faster, delivers continuous improvements, and prevents costly incidents.
How to use WhyLabs AI Observability Platform?
To use the WhyLabs AI Observability Platform, you need to integrate the purpose-built agents with your existing data pipelines and multi-cloud architectures. The platform provides secure integration with built-in agents that analyze raw data without moving or duplicating it, ensuring data privacy and security. You can then continuously monitor your predictive models, generative models, data pipelines, and feature stores using the integrated agents. The platform also supports monitoring of structured or unstructured data by running whylogs on your data and uploading the logs to the platform.
WhyLabs AI Observability Platform's Core Features
Model and data health monitoring
Continuous monitoring for model input and output drift
Identification of training-serving skew
Improvement of AI performance by identifying the best model candidate and reliable features
Traceability of cohorts that contribute to model performance and introduce bias
Proactive resolution of data quality issues in feature pipelines and feature stores
LLM (Language and Learning Models) security for self-hosted and proprietary LLM APIs
Inline actions to protect against prompts with malicious intent and abuse risk
Protection against OWASP Top 10 vulnerabilities, such as prompt injections and data leakage
Continuous evaluation of LLM prompts and responses to ensure a positive user experience
Enterprise-grade features, including RBAC, SAML SSO, API controls, and advanced trigger and notification configurations
Security compliance (SOC 2 Type 2)
Hybrid SaaS deployment model for highly confidential models
Root cause analysis tools for issue investigation
Powerful monitoring algorithms for intelligent baseline and seasonal monitors
Seamless integration with existing pipelines and tools
WhyLabs AI Observability Platform's Use Cases
#1
Financial Services: Safeguard financial services businesses from the risks of AI bias and opaqueness
#2
Logistics & Manufacturing: Ensure AI continuously delivers an advantage to logistics and manufacturing businesses
#3
Retail & E-commerce: Optimize retail business decisions and ensure accurate and reliable models
#4
Healthcare: Monitor AI systems used in healthcare to ensure reliability, compliance, and patient safety
FAQ from WhyLabs AI Observability Platform
What types of data can be monitored with the WhyLabs AI Observability Platform?
Is the WhyLabs AI Observability Platform compatible with multi-cloud architectures?
Does the WhyLabs AI Observability Platform support monitoring of language and learning models (LLMs)?
Is the WhyLabs AI Observability Platform compliant with security standards?
Can the WhyLabs AI Observability Platform handle large amounts of data?
WhyLabs AI Observability Platform Support Email & Customer service contact & Refund contact etc.
More Contact, visit
the contact us page(https://whylabs.ai/contact-us#form)
WhyLabs AI Observability Platform Company
WhyLabs AI Observability Platform Company name:
WhyLabs, Inc.
.
More about WhyLabs AI Observability Platform, Please visit
the about us page(https://whylabs.ai/about)
.
WhyLabs AI Observability Platform Login
WhyLabs AI Observability Platform Login Link:
https://hub.whylabsapp.com
WhyLabs AI Observability Platform Sign up
WhyLabs AI Observability Platform Sign up Link:
https://hub.whylabsapp.com/signup
WhyLabs AI Observability Platform Pricing
WhyLabs AI Observability Platform Pricing Link:
https://whylabs.ai/pricing
WhyLabs AI Observability Platform Youtube
WhyLabs AI Observability Platform Youtube Link:
https://www.youtube.com/channel/UC9lRj988vfMTuUryc0JMPvA
WhyLabs AI Observability Platform Linkedin
WhyLabs AI Observability Platform Linkedin Link:
https://www.linkedin.com/company/whylabsai
WhyLabs AI Observability Platform Twitter
WhyLabs AI Observability Platform Twitter Link:
https://twitter.com/whylabs
WhyLabs AI Observability Platform Github
WhyLabs AI Observability Platform Github Link:
https://github.com/whylabs