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Endava a leading tech services provider, launched its latest research report with IDC titled, "The Next Wave of Digital Transformation in the Era of the AI-Powered Digital Shift.
Unity makes strength. This well-known motto perfectly captures the essence of ensemble methods: one of the most powerful machine learning (ML) approaches -with permission from deep neural networks- to effectively address complex problems predicated on complex data, by combining multiple models for addressing one predictive task.
In the era of big data and rapid technological advancement, the ability to analyze and interpret data effectively has become a cornerstone of decision-making and innovation. Python, renowned for its simplicity and versatility, has emerged as the leading programming language for data analysis. Its extensive library ecosystem enables users to seamlessly handle diverse tasks, from […] The post Top 10 Python Libraries for Data Analysis appeared first on Analytics Vidhya.
Denodo, a leader in data management, announced the launch of Denodo Platform 9.1, adding new AI capabilities and tools to Denodo Platform 9, released in June. Denodo Platform 9 brought intelligent data delivery to data management, with AI-driven support for natural-language queries and support for retrieval-augmented generation (RAG), so organizations can gain trusted, insightful results from their generative AI (GenAI) applications.
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.
Language models have transformed how we interact with data, enabling applications like chatbots, sentiment analysis, and even automated content generation. However, most discussions revolve around large-scale models like GPT-3 or GPT-4, which require significant computational resources and vast datasets. While these models are powerful, they are not always practical for domain-specific tasks or deployment in […] The post Small Language Models, Big Impact: Fine-Tuning DistilGPT-2 for Medica
Today, we are excited to announce the general availability of Amazon Bedrock Flows (previously known as Prompt Flows). With Bedrock Flows, you can quickly build and execute complex generative AI workflows without writing code. Key benefits include: Simplified generative AI workflow development with an intuitive visual interface. Seamless integration of latest foundation models (FMs), Prompts, Agents, Knowledge Bases, Guardrails, and other AWS services.
Imagine a software engineer creating marketing strategies or a program manager designing tech apps—sounds unconventional, right? This is the new reality of the modern workspace, where multitasking is revolutionized with AI agents! Powered by advanced large language models (LLMs), AI agents are evolving from simple assistants to autonomous contributors.
Imagine a software engineer creating marketing strategies or a program manager designing tech apps—sounds unconventional, right? This is the new reality of the modern workspace, where multitasking is revolutionized with AI agents! Powered by advanced large language models (LLMs), AI agents are evolving from simple assistants to autonomous contributors.
Leaders and companies everywhere recognize the transformative potential that AI holds for their business — but very few of them have a systematic plan for how to experiment with and adopt AI at scale. In this article, John Winsor offers one, based on the successful work that he and Jin Paik have done in recent years helping companies experiment with and adopt digital-talent platforms at scale.
In this contributed article, Sarah Schinckel, director of emerging technologies in the Intelligent Solutions Group (ISG) at John Deere, discusses how AI is being harnessed in agriculture. The piece also offers considerations for leaders as AI is integrated across industries.
This post is part of an ongoing series about governing the machine learning (ML) lifecycle at scale. To view this series from the beginning, start with Part 1. This post dives deep into how to set up data governance at scale using Amazon DataZone for the data mesh. The data mesh is a modern approach to data management that decentralizes data ownership and treats data as a product.
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.
With the announcement of the Amplify AI kit, we learned how to build custom UI components, conversation history and add external data to the conversation flow. In this blog post, we will learn how to build a travel planner application using React Native.
Meta has undertaken significant measures to combat “pig butchering” scams, having removed over 2 million accounts linked to these fraudulent schemes in 2023. These scams, which deceive victims through online friendships or romantic relationships, result in substantial financial losses, primarily centered around fake cryptocurrency investments. Victims often invest their life savings before realizing it is a scam.
Whether you have to do with data in form of CSV, JSON or a full-blooded programming language like C, JavaScript, Scala, or maybe a query language like SQL, you always transform some sequence of characters (or binary values) into a structured representation. Whatever youâll do with that representation depends on your domain and business goals, and is quite often the core value of whatever you are doing.
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
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. With Amazon Bedrock, you can experiment with and evaluate top FMs for your use case, privately customize them with your data using techniques such as
The United States continues to dominate global AI innovation, surpassing China and other nations in key metrics such as research output, private investment, and responsible AI development, according to the latest Stanford University AI Index report on Global AI Innovation Rankings. Released by Stanford’s Institute for Human-Centered AI, the Global AI Innovation Rankings report measures the “ vibrancy ” of AI industries worldwide.
Companies across all industries are harnessing the power of generative AI to address various use cases. Cloud providers have recognized the need to offer model inference through an API call, significantly streamlining the implementation of AI within applications. Although a single API call can address simple use cases, more complex ones may necessitate the use of multiple calls and integrations with other services.
Scientific research traditionally requires institutional affiliations and formal commitments. However, CDS Research Scientist Ravid Shwartz-Ziv is experimenting with a different approach, coordinating multiple research projects through a Discord server where anyone interested can contribute to exploring connections between large language models and information theory.
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.
In this post, we demonstrate the potential of large language model (LLM) debates using a supervised dataset with ground truth. In this LLM debate, we have two debater LLMs, each one taking one side of an argument and defending it based on the previous arguments for N(=3) rounds. The arguments are saved for a judge LLM to review. After N(=3) rounds, the same judge LLM with no access to original dataset but only with the LLM arguments decides which side is correct.
OpenAI is exploring the development of a web browser that integrates ChatGPT, alongside partnerships for search capabilities, The Information reports. Discussions have taken place with app developers like Conde Nast, Redfin, Eventbrite, and Priceline. This development may position OpenAI to compete directly with Google in the search engine market, where Google’s Chrome browser dominates.
Companies across various scales and industries are using large language models (LLMs) to develop generative AI applications that provide innovative experiences for customers and employees. However, building or fine-tuning these pre-trained LLMs on extensive datasets demands substantial computational resources and engineering effort. With the increase in sizes of these pre-trained LLMs, the model customization process becomes complex, time-consuming, and often prohibitively expensive for most org
Nvidia has announced a potential shortage of gaming GPUs for the upcoming quarter due to production shifts and increased demand. The warning comes amidst the company’s record third-quarter revenue , which surged 94% year-over-year, totaling $35 billion. CFO Colette Kress indicated in the earnings call that supply constraints would likely lead to a sequential revenue decline in the fourth quarter.
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
As the demand for generative AI continues to grow, developers and enterprises seek more flexible, cost-effective, and powerful accelerators to meet their needs. Today, we are thrilled to announce the availability of G6e instances powered by NVIDIA’s L40S Tensor Core GPUs on Amazon SageMaker. You will have the option to provision nodes with 1, 4, and 8 L40S GPU instances, with each GPU providing 48 GB of high bandwidth memory (HBM).
KEY TAKEAWAYS Russian APT GruesomeLarch deployed a new attack technique leveraging Wi-Fi networks in close proximity to the intended target. The threat actor primarily leveraged living-off-the-land techniques. A zero-day privilege escalation was used to further gain access. Ukrainian-related work and projects were targeted in this attack, just ahead of Russian Invasion of Ukraine.
Amazon on Friday announced it would invest an additional $4 billion in Anthropic, the artificial intelligence startup founded by ex-OpenAI research executives.
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.
Anthropic, OpenAI’s close rival, has raised an additional $4 billion from Amazon, and has agreed to make Amazon Web Services (AWS), Amazon’s cloud computing division, the primary place it’ll train its flagship generative AI models.
Nvidia is working as fast it can to certify Samsung’s AI memory chips, CEO Jensen Huang tells Bloomberg TV on the sideline of an event at the Hong Kong University of Science and Technology.
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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