AWS Machine Learning Blog
NOVEMBER 19, 2024
The excitement is building for the fourteenth edition of AWS re:Invent, and as always, Las Vegas is set to host this spectacular event. This year, generative AI and machine learning (ML) will again be in focus, with exciting keynote announcements and a variety of sessions showcasing insights from AWS experts, customer stories, and hands-on experiences with AWS services.
Dataconomy
NOVEMBER 19, 2024
At the last AI Conference, we had a chance to sit down with Roman Shaposhnik and Tanya Dadasheva, the co-founders of Ainekko/AIFoundry, and discuss with them an ambiguous topic of data value for enterprises in the times of AI. One of the key questions we started from was: are most companies running the same frontier AI models, is incorporating their data the only way they have a chance to differentiate?
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The Data Administration Newsletter
NOVEMBER 20, 2024
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.
Precisely
NOVEMBER 18, 2024
Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. A long-term approach to your data strategy is key to success as business environments and technologies continue to evolve. The rapid pace of technological change has made data-driven initiatives more crucial than ever within modern business strategies.
Speaker: Tamara Fingerlin, Developer Advocate
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.
AssemblyAI
NOVEMBER 19, 2024
In a world where data is a crucial asset for training AI models, we've seen firsthand at AssemblyAI how properly managing this vital resource is essential in making progress toward our goal of democratizing state-of-the-art Speech AI. In the course of developing our Conformer and Universal speech recognition models , we've had to navigate the complexities of handling massive amounts of audio data and metadata.
NOVEMBER 20, 2024
Let's take a look at how we can perform NER using that Swiss army knife of NLP and LLM libraries, Hugging Face's Transformers.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Precisely
NOVEMBER 18, 2024
Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. A long-term approach to your data strategy is key to success as business environments and technologies continue to evolve. The rapid pace of technological change has made data-driven initiatives more crucial than ever within modern business strategies.
Data Science Dojo
NOVEMBER 18, 2024
RESTful APIs (Application Programming Interfaces) are an integral part of modern web services, and yet as the popularity of large language models (LLMs) increases, we have not seen enough APIs being made accessible to users at the scale that LLMs can enable. Imagine verbally telling your computer, “Get me weather data for Seattle” and have it magically retrieve the correct and latest information from a trusted API.
Analytics Vidhya
NOVEMBER 20, 2024
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.
insideBIGDATA
NOVEMBER 16, 2024
Snowflake Intelligence is a groundbreaking platform that will empower business users to create data agents, so they can analyze, summarize, and take action from their enterprise data Snowflake (NYSE: SNOW), the AI Data Cloud company, announced Snowflake Intelligence (in private preview soon), a new platform that will enable enterprises to easily ask business questions across their enterprise […]
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.
Machine Learning Mastery
NOVEMBER 22, 2024
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.
Dataconomy
NOVEMBER 21, 2024
Nvidia anticipates higher sales of its Blackwell AI chips than previously expected, driven by demand from major clients like Microsoft and OpenAI. The company confirmed its production capabilities during a recent earnings call, maintaining an ongoing expansion in AI chip manufacturing. Nvidia expects stronger sales of Blackwell AI chips Nvidia’s new flagship Blackwell AI servers might be facing cooling issues , but the company sidestepped the topic during today’s call.
Analytics Vidhya
NOVEMBER 21, 2024
Image segmentation is another popular computer vision task that has applications with different models. Its usefulness across different industries and fields has allowed for more research and improvements. Maskformer is part of another revolution of image segmentation, using its mask attention mechanism to detect objects that overlap their bounding boxes.
insideBIGDATA
NOVEMBER 18, 2024
In this contributed article, Daniela De La Vega Smith, an accomplished legal and compliance professional, discusses how AI-driven contract analysis, workflow automation, and predictive insights are changing the game for legal operations. From optimizing contract reviews with natural language processing to enabling cross-departmental collaboration and proactive risk assessment, Daniela talks about how AI is transforming contract lifecycle management into a more efficient, accurate, and proactive
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
NOVEMBER 22, 2024
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.
Dataconomy
NOVEMBER 21, 2024
Pokémon Go players are unwittingly training an advanced AI system designed by Niantic to complete real-world locations. This initiative centers around a “Large Geospatial Model” (LGM), which relies on user-generated data to enhance augmented reality and robotics applications. Pokémon Go players trained advanced AI for real-world applications Niantic’s official blog outlines that the LGM functions similarly to a “Large Language Model,” like ChatGPT, but pertains specifical
Analytics Vidhya
NOVEMBER 21, 2024
Introducing Hunyuan3D-1.0, a game-changer in the world of 3D asset creation. Imagine generating high-quality 3D models in under 10 seconds—no more long waits or cumbersome processes. This innovative tool combines cutting-edge AI and a two-stage framework to create realistic, multi-view images before transforming them into precise, high-fidelity 3D assets.
insideBIGDATA
NOVEMBER 18, 2024
In this contributed article, Harikrishna Kundariya, co-founder, Director of eSparkBiz Technologies, discusses how generative AI is emerging as a revolutionary technology that is simplifying as well as reducing the cost of doing business across sectors. Generative AI is the new innovation after the Industrial Revolution that is going to bring remarkable changes in every aspect of the overall business environment.
Speaker: Frank Taliano
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.
NOVEMBER 19, 2024
Robert Califf has made no secret of the Food and Drug Administration’s struggles to regulate generative AI. Large language models and their application to health care “provide a massive example of a technology with novel needs,” FDA commissioner Califf said in an address earlier this year to the Coalition for Health AI. This week, the agency will turn toward that challenge, focusing the first-ever meeting of its Digital Health Advisory Committee on the question of whet
Dataconomy
NOVEMBER 21, 2024
Meta has introduced several upgrades to its Messenger app, including HD video calling, noise suppression, and AI-generated backgrounds. These features aim to improve user experience in video and audio calls, aligning Messenger more closely with competitors like Google Meet, Zoom, and FaceTime. Meta enhances Messenger with AI features for calls The HD video calling feature is now enabled by default on Wi-Fi connections.
Analytics Vidhya
NOVEMBER 22, 2024
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.
insideBIGDATA
NOVEMBER 18, 2024
Pure Storage® (NYSE: PSTG), the IT pioneer that delivers the world's most advanced data storage technology and services, today announced the expansion of its AI solutions with the new Pure Storage GenAI Pod, a full-stack solution providing turnkey designs built on the Pure Storage platform.
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?
NOVEMBER 20, 2024
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.
Machine Learning Mastery
NOVEMBER 18, 2024
A chatbot is a computer program that can talk to people. It can answer questions and help users anytime. You don’t need to know a lot about coding to make one. There are free tools that make it simple and fun. In this article, we will use a tool called ChatterBot.
Analytics Vidhya
NOVEMBER 18, 2024
In this tutorial, you will learn how to construct iterate update and train a CNN model using JAX, Flax, and Optax on the MNIST dataset. This tutorial starts from how to set up the environment and preprocess the data to how to define the CNN structure and the final step is to test the model. […] The post Image Classification with JAX, Flax, and Optax : A Step-by-Step Guide appeared first on Analytics Vidhya.
insideBIGDATA
NOVEMBER 22, 2024
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.
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
NOVEMBER 20, 2024
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
AWS Machine Learning Blog
NOVEMBER 19, 2024
As companies of all sizes continue to build generative AI applications, the need for robust governance and control mechanisms becomes crucial. With the growing complexity of generative AI models, organizations face challenges in maintaining compliance, mitigating risks, and upholding ethical standards. This is where the concept of guardrails comes into play, providing a comprehensive framework for implementing governance and control measures with safeguards customized to your application require
Analytics Vidhya
NOVEMBER 22, 2024
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
insideBIGDATA
NOVEMBER 22, 2024
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.
Speaker: Tamara Fingerlin, Developer Advocate
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
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