This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Lets be real: building LLM applications today feels like purgatory. Someone hacks together a quick demo with ChatGPT and LlamaIndex. Leadership gets excited. We can answer any question about our docs! But then reality hits. The system is inconsistent, slow, hallucinatingand that amazing demo starts collecting digital dust. We call this POC Purgatorythat frustrating limbo where you’ve built something cool but can’t quite turn it into something real.
CIOs perennially deal with technical debts risks, costs, and complexities. While the impacts of legacy systems can be quantified, technical debt is also often embedded in subtler ways across the IT ecosystem, making it hard to account for the full list of issues and risks. Forrester reports that 30% of IT leaders struggle with high or critical debt, while 49% more face moderate levels.
Youve built applications with LLMs. Youve played with agents. Maybe youve even worked with LangChain, AutoGen, or OpenAIs Assistants API. Isnt it impressive how much these models can reason, understand, and generate? But the moment your agent needs to do something real, like check a database, read from a CRM, or fetch a Google Doc; […] The post How to Use MCP: Model Context Protocol appeared first on Analytics Vidhya.
AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
Resilience has always been a top priority for customers running mission-critical Apache Kafka applications. Amazon Managed Streaming for Apache Kafka (Amazon MSK) is deployed across multiple Availability Zones and provides resilience within an AWS Region. However, mission-critical Kafka deployments require cross-Region resilience to minimize downtime during service impairment in a Region.
The proof of concept (POC) has become a key facet of CIOs AI strategies, providing a low-stakes way to test AI use cases without full commitment. But as enterprises increasingly experience pilot fatigue and pivot toward seeking practical results from their efforts , learnings from these experiments wont be enough the process itself may need to produce more targeted success rates.
Learn model serving, CI/CD, ML orchestration, model deployment, local AI, and Docker to streamline ML workflows, automate pipelines, and deploy scalable, portable AI solutions effectively.
Learn model serving, CI/CD, ML orchestration, model deployment, local AI, and Docker to streamline ML workflows, automate pipelines, and deploy scalable, portable AI solutions effectively.
As AI models advance, their programming and software development capabilities have become key benchmarks. Two leading contenders in the coding scene are DeepSeek V3 and Claude 3.7. DeepSeek V3-0324, the latest from DeepSeek AI, comes with promising benchmark results on coding tasks. Meanwhile, Anthropics newest model, Claude 3.7, is a stronger generalist AI with superior […] The post DeepSeek V3-0324 vs Claude 3.7: Which is the Better Coder?
La prueba de concepto (POC) se ha convertido en una faceta clave de las estrategias de inteligencia artificial (IA) de los CIO , ya que proporciona una forma de bajo riesgo de probar casos de uso de IA sin un compromiso total. Pero a medida que las empresas experimentan cada vez ms fatiga piloto y se vuelcan en la bsqueda de resultados prcticos de sus esfuerzos , los aprendizajes de estos experimentos no sern suficientes; es posible que el proceso en s mismo deba producir tasas de xito ms especf
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
How can you ensure your machine learning models get the high-quality data they need to thrive? In todays machine learning landscape, handling data well is as important as building strong models. Feeding high-quality, well-structured data into your models can significantly impact performance and training speed. The TensorFlow Dataset API simplifies this process by offering set […] The post Building TensorFlow Pipelines with Vertex AI appeared first on Analytics Vidhya.
With the Digital Agenda , the European Union is creating clear and uniform rules for the responsible use of data and artificial intelligence. In addition to the General Data Protection Regulation which went into effect in May 2018 its current focus is on the EU AI Act and the EU Data Act. The EU AI Act will be implemented in stages over the next two years, starting in February 2025, and the EU Data Act will be implemented in stages starting in fall 2025.
The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
OpenAIs Agent SDK has taken things up a notch with the release of its Voice Agent feature, enabling you to create intelligent, real-time, speech-driven applications. Whether you’re building a language tutor, a virtual assistant, or a support bot, this new capability brings in a whole new level of interactionnatural, dynamic, and human-like. Lets break it […] The post How to Build Multilingual Voice Agent Using OpenAI Agent SDK?
As the world becomes increasingly globalized, businesses need to adapt which is why language translation has never been more important. Whether translating content to reach global audiences, adapting product manuals for user safety and compliance, or facilitating seamless communication through real-time speech translation in customer support or business meetings, the ability to translate with accuracy, context, and speed is vital.
GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.
Google has introduced the Google Gen AI Toolbox for Databases, an open-source Python library designed to simplify database interaction with GenAI. By converting natural language queries into optimized SQL commands, the toolbox eliminates the complexities of SQL, making data retrieval more intuitive and accessible for both developers and non-technical users.
This article was written by Mark Palmer, host of Executive Programs for Dataiku. Mark is a data and AI industry analyst for Warburg Pincus and a board member for six AI, data management, and data science companies. Time Magazine named him A Tech Pioneer Who Will Change Your Life. Mark is a LinkedIn Top Voice in Data Analytics.
In a landmark move, the Abu Dhabi Government, Microsoft, and Core42 was made in the presence ofH.H. Sheikh Tahnoon bin Zayed Al Nahyan, Deputy Ruler of Abu Dhabi and Chairman of theArtificial Intelligence and Advanced Technology Council, and Khaldoon Al Mubarak, Chairman of theExecutive Affairs Authorityand member of the Artificial Intelligence and Advanced Technology Council will create a unified, high-performance sovereign cloud computing environment capable of processing over 11 million daily
This guide provides a detailed, step-by-step explanation of how to connect ChatGPT with Google Sheets, along with practical examples and advanced features to make the most of this integration.
Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
How do we keep AI safe and helpful as it grows more central to our digital lives? Large language models (LLMs) have become incredibly advanced and widely used, powering everything from chatbots to content creation. With this rise, the need for reliable evaluation metrics has never been greater. One critical measure is toxicityassessing whether AI […] The post Evaluating Toxicity in Large Language Models appeared first on Analytics Vidhya.
As IT leaders integrate LLM-powered agentic applications into their enterprise stack, performance measurement becomes critical. Unlike traditional applications, these systems can take on open-ended questions and generate novel responses, making quality assessment more complex than conventional software performance monitoring.
Heineken ha anunciado en sociedad su primer laboratorio global de inteligencia artificial (IA) generativa en Singapur. Una iniciativa que nace con la misin de impulsar el valor comercial de la marca y acelerar el viaje de transformacin digital de la cervecera. Con esta maniobra la organizacin busca mejorar a partir de la IA generativa el crecimiento, la productividad y la interaccin con los clientes en las operaciones globales de la empresa.
ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!
The race for dominance in code-focused language models is heating up, and Hugging Face has entered the arena with a strong contender: OlympicCoder-7B, a part of its Open-R1 initiative. Designed to excel at competitive programming, the model is fine-tuned using a Chain-of-Thought-enhanced Codeforces dataset. Remarkably, it has already shown impressive results, outperforming Claude 3.7 Sonnet […] The post Does Hugging Face’s 7B Model Beat Claude 3.7?
In an era where AI is redefining business norms, the stakes for corporate leadership have never been higher. According to The Global AI Confessions Report: CEO Edition, a Harris Poll survey conducted on behalf of Dataiku, CEOs worldwide are grappling with the urgent mandate to turn AI ambition into real business outcomes. Whats at stake? Only corporate survival.
Cleveland Clinic and G42 have entered into a strategic collaboration to advance the adoption ofartificial intelligence (AI) in healthcare, marking yet another major step in realizing AIs potential in medicine. The partnership will create a joint task forceto assess, prioritize, and expedite AI-powered efforts to enhance patient care, medical research, and operational efficiency.
Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
We organize all of the trending information in your field so you don't have to. Join 42,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content