Fiddler AI

Join us tomorrow with Anyscale on #AIExplained to discuss reliability challenges, building the right AI infrastructure, and implementing the latest practices in productionizing GenAI at scale. Register now to get your questions answered: https://buff.ly/3S2mhOy — #AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #EthicalAI #AIObservability #AIinfrastructure #GenAI

Is #AIObservability the key to unlocking the full potential of #LLMs? Find out this Friday, July 26th where our co-founder and CEO, Krishna Gade, will present AIM Research #MachineConUSA! 

Ensuring ethical AI in #finance is crucial as the technology revolutionizes the industry. Citi's recent report emphasizes the importance of responsible AI adoption. 🔷 Bias and Discrimination: AI models can perpetuate biases, making it essential to implement robust checks to ensure fairness. 🔷 Transparency and Explicability: It's critical to make AI decision-making processes clear to maintain trust and accountability. 🔷 Data Security: Protecting sensitive financial data from breaches and misuse is paramount. 🔷 Ethical Governance: Establishing guidelines and ethics committees to oversee AI deployment helps prevent misuse and ensures responsible innovation. 🔷 Impact on Profits: AI could boost the global banking sector's profits by 9%, or $170 billion, by 2028. Ethical AI in finance ensures fair, transparent, and secure operations, protecting both institutions and clients. How can we further enhance AI ethics in the financial sector? Read the report: https://buff.ly/4cE0wgn — #AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #EthicalAI #AIObservability #Bias #Transparency

AI is changing how we detect media bias. #UPenn’s Computational Social Science Lab has created a #MediaBiasDetector. Here’s what it does: ✦ Uses AI to analyze and map bias in media ✦ Offers insights into information spread ✦ Helps create an informed public by identifying bias ✦ Aids researchers and journalists in balanced reporting Why does this matter? Understanding media bias helps us critically consume news and supports a healthier public discourse. Check out the Media Bias Detector: https://buff.ly/3zxRvGP — #AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #EthicalAI #AIObservability #Bias

Observability tools offer insights into the following five layers of "GenAI Application Stack" 1. Infrastructure Layer - Tracks GPU usage, memory consumption, and network throughput. 2. Data Storage/Vector Database Layer - Tracks data-related metrics 3. Model Layer - Tracks model performance, accuracy, inference, and output quality. 4. Orchestration Layer - Tracks throughput, latency, and error rates. 5. Application Performance Monitoring - Tracks response time, and user behavior and feedback. For more on GenAI Observability, read the complete report here: https://lnkd.in/g_RD4BZk #GenAIObervability #ObservabilityTools #VendorLandscape #LLMs Dynatrace TruEra Datadog Fiddler AI Arize AI AppDynamics

Scaling production #GenAI deployments can be challenging due to the need for evolving AI infrastructure, approaches, and processes that can support advanced GenAI use cases. Join us next week with Anyscale on #AIExplained to discuss these challenges and approaches. 📅 Register now: https://buff.ly/3S2mhOy — #AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #EthicalAI #AIObservability

We're excited to share that Fiddler is included on Lazard VGB AI Infra 40 list for #MLOps! Read on for the full list and to learn more about key market themes: https://buff.ly/3WodadE

The enterprise world witnessed the fastest tech adoption ever, spotlighting the undeniable potential of LLMs. At the heart of this widespread adoption is the #MOOD stack — Models, #Observability, Orchestration, and Data. This four-layered framework is becoming the backbone of all LLM-powered applications, drawing parallels with the revolutionary LAMP stack that powered the internet growth era. 📌 Models: The foundation, offering a variety of proprietary and open-source options. 📌 Observability: Ensuring governance, interpretability, and operational visibility. 📌 Orchestration: Integrating workflows across data, model, and business infrastructure. 📌 Data: The bedrock, focusing on efficient management and accessibility. As more enterprises move their LLM projects into production, the MOOD stack promises to streamline development, enhance operational efficiency, and foster innovation.  Read full blog 🔗: https://buff.ly/3YjPxo7 — #AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #EthicalAI #AIObservability

We recently announced our approach to high quality and highly accurate #LLMmonitoring that’s fast, safe, scalable and cost effective for #enterprises. 🔗 Read more: https://buff.ly/4cF1EjE — #AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #EthicalAI #AIObservability

Colorado has pioneered the nation's first comprehensive AI law aimed at ensuring fairness and preventing bias. This legislation addresses how AI influences decisions on insurance, employment, and access to essential services, providing transparency and recourse for those affected. ✨ The law requires disclosure when AI is used in decision-making processes. ✨ Affected individuals can correct data or file complaints if treated unfairly. ✨ Companies must identify potential discrimination in AI algorithms. ✨ The Attorney General's office can investigate and resolve AI-related disputes. ✨ This law sets a precedent, with other states considering similar regulations. Why this matters: Colorado's AI law is a significant step towards ensuring AI technologies benefit everyone and promote fairness, encouraging nationwide dialogue on responsible AI use.