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Cognigy, a global leader in AI-powered customer service solutions, announced the launch of Agentic AI, a revolutionary addition to its proven Cognigy.AI platform, designed to redefine enterprise customer service.
A key idea in data science and statistics is the Bernoulli distribution, named for the Swiss mathematician Jacob Bernoulli. It is crucial to probability theory and a foundational element for more intricate statistical models, ranging from machine learning algorithms to customer behaviour prediction. In this article, we will discuss the Bernoulli distribution in detail.
Retrieval Augmented Generation (RAG) has become a crucial technique for improving the accuracy and relevance of AI-generated responses. The effectiveness of RAG heavily depends on the quality of context provided to the large language model (LLM), which is typically retrieved from vector stores based on user queries. The relevance of this context directly impacts the model’s ability to generate accurate and contextually appropriate responses.
Large Language Models like BERT, T5, BART, and DistilBERT are powerful tools in natural language processing where each is designed with unique strengths for specific tasks. Whether it’s summarization, question answering, or other NLP applications. These models vary in their architecture, performance, and efficiency. In our code we will compare these models across two tasks: […] The post Comparing LLMs for Text Summarization and Question Answering appeared first on Analytics Vidhya.
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
Schrödinger CEO Ramy Farid wants you to know that his company isn’t an AI company…but he’ll call it that if you want to. The company, founded in 1990, started out by making software that used the basic laws of physics to laboriously and exactly predict how molecules will interact with each other in space. Those calculations, rooted in the field of computational physics, needed lots of expensive and time-consuming computing power to run, and many people abandoned those t
In today’s data-intensive business landscape, organizations face the challenge of extracting valuable insights from diverse data sources scattered across their infrastructure. Whether it’s structured data in databases or unstructured content in document repositories, enterprises often struggle to efficiently query and use this wealth of information.
We are thrilled to unveil the finalists for the Databricks Generative AI Startup Challenge , a competition designed to spotlight innovative early-stage startups.
We are thrilled to unveil the finalists for the Databricks Generative AI Startup Challenge , a competition designed to spotlight innovative early-stage startups.
Data quality issues continue to plague financial services organizations, resulting in costly fines, operational inefficiencies, and damage to reputations. Even industry leaders like Charles Schwab and Citibank have been severely impacted by poor data management, revealing the urgent need for more effective data quality processes across the sector.
This post is co-written with Lawrence Zorio III from Mark43. Public safety organizations face the challenge of accessing and analyzing vast amounts of data quickly while maintaining strict security protocols. First responders need immediate access to relevant data across multiple systems, while command staff require rapid insights for operational decisions.
NVIDIA announced it is working with Google Quantum AI to accelerate the design of its next-generation quantum computing devices using simulations powered by the NVIDIA CUDA-Q™ platform.
Imagine you’re planting a garden with a variety of plants, each requiring a different amount of water. If you used the same amount of water on all of them every day, some plants would thrive, while others might get overwatered or dry out. In machine learning, a similar challenge exists with gradient descent, where using […] The post What is Adaptive Gradient(Adagrad) Optimizer?
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
We are excited to introduce the gated Public Preview of Predictive Optimization for statistics. Announced at the Data + AI Summit, Predictive Optimization.
Want to simplify the creation and management of AI workflows? CrewAI flows offer structured patterns for orchestrating AI agent interactions. They enable developers to effectively combine coding tasks and Crews, offering a powerful framework for developing AI automation. With Agentic Flows in CrewAI, you can design structured, event-driven workflows that streamline task coordination, manage state, […] The post What are Agentic Flows in CrewAI?
It is always good to remind yourself that you’re not immune to cyber threats. Nobody is unless they implement the right practices to ensure their safety.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
Lawyers for The New York Times and Daily News, which are suing OpenAI for allegedly scraping their works to train its AI models without permission, say OpenAI engineers accidentally deleted data potentially relevant to the case.
Undergraduates with family income below $200,000 can expect to attend MIT tuition-free starting next fall, thanks to newly expanded financial aid. Eighty percent of American households meet this income threshold.
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
Trying to avoid antitrust suits, Google systematically told employees to destroy messages, avoid certain words and copy the lawyers as often as possible.
When Satya Nadella took over as CEO, the company was lumbering and uncool. He cleaned up a toxic culture, crafted the deal of the decade, and put Microsoft back on top.
OpenAI envisions teachers using its AI-powered tools to create lesson plans and interactive tutorials for students. But some educators are wary of the technology — and its potential to go awry.
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
Barry Silbert will be the CEO of Yuma, a new DCG company focused on incubating and building new businesses within Bittensor’s decentralized AI ecosystem.
This week's Internet cable cuts in the Baltic sea have been widely reported, even as attempts to understand their cause and impact are ongoing. We turn to RIPE Atlas to provide a preliminary analysis of these events and examine to what extent the Internet in the region is resilient to these events.
In the accounting world, staying ahead means embracing the tools that allow you to work smarter, not harder. Outdated processes and disconnected systems can hold your organization back, but the right technologies can help you streamline operations, boost productivity, and improve client delivery. Dive into the strategies and innovations transforming accounting practices.
Nvidia raked in more than $19 billion in net income during the last quarter, the company reported on Wednesday, but that did little to assure investors that its rapid growth would continue.
Twine aims to assist with cybersecurity’s critical talent shortage by developing AI agents or “digital employees” to augment companies’ security teams.
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
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