December, 2024

article thumbnail

2024’s Biggest Moments in AI

KDnuggets

2024 has been yet another groundbreaking year for AI, with major breakthroughs, industry shifts, and ethical challenges shaping its future. Let's uncover together the key moments that defined AI this year about to finalize.

AI 360
article thumbnail

7 Projects to Master Data Engineering

KDnuggets

Learn to build, run, and manage data engineering pipelines both locally and in the cloud using popular tools.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

NetApp’s 2024 Data Complexity Report Reveals AI’s Make or Break Year Ahead

insideBIGDATA

NetApp(NASDAQ: NTAP), the intelligent data infrastructure company, released its second annualData Complexity Report, which examines how global organizations are navigating the increasing complexity of managing their data for AI.

AI 500
article thumbnail

10 Python Libraries Every Developer Should Know

KDnuggets

In this article, we’ll go over Python libraries for tasks like logging, unit testing, data handling, and more — each with features that can simplify your application development.

Python 343
article thumbnail

Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

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.

article thumbnail

The Name That Broke ChatGPT: Who is David Mayer?

Cassie Kozyrkov

AI, privacy, human bias, prompting, the future of content, and how to hack a chatbot Continue reading on Towards Data Science »

article thumbnail

AI in Construction: Tackling Fragmented Data with Intelligent Solutions

insideBIGDATA

In this contributed article, Omar Zhandarbekuly, co-founder at Surfaice.pro, explores how AI particularly knowledge graphs, generative AI, and agentic AIcan bridge these gaps, transforming construction processes into streamlined, intelligent standalone systems.

AI 367

More Trending

article thumbnail

Data Augmentation: A Comprehensive Guide

Data Science Dojo

Let’s suppose youre training a machine learning model to detect diseases from X-rays. Your dataset contains only 1,000 imagesa number too small to capture the diversity of real-world cases. Limited data often leads to underperforming models that overfit and fail to generalize well. It seems like an obstacle – until you discover data augmentation.

article thumbnail

Top 13 AI Conferences to Attend in 2025

Data Science Dojo

In the ever-evolving world of data science , staying ahead of the curve is crucial. Attending AI conferences is one of the best ways to gain insights into the latest trends, network with industry leaders, and enhance your skills. As we look forward to 2025, several AI conferences promise to deliver cutting-edge knowledge and unparalleled networking opportunities.

AI 370
article thumbnail

Andrej Karpathy Praises DeepSeek V3’s Frontier LLM, Trained on a $6M Budget

Analytics Vidhya

Last year, the DeepSeek LLM made waves with its impressive 67 billion parameters, meticulously trained on an expansive dataset of 2 trillion tokens in English and Chinese comprehension. Setting new benchmarks for research collaboration, DeepSeek ingrained the AI community by open-sourcing both its 7B/67B Base and Chat models. Now, what if I tell you there […] The post Andrej Karpathy Praises DeepSeek V3s Frontier LLM, Trained on a $6M Budget appeared first on Analytics Vidhya.

Analytics 367
article thumbnail

The startups Nvidia thinks are the future of AI

Dataconomy

Nvidia has expanded its influence in the artificial intelligence (AI) sector by investing in six emerging AI companies. The tech behemoth, valued at $3.3 trillion, aims to leverage innovation across various industries while navigating the complexities of these investments. Nvidia builds AI portfolio with investments in six startups Nvidia’s investments include Applied Digital Corp , Arm Holdings , Nano-X Imaging , Recursion Pharmaceuticals , Serve Robotics , and SoundHound AI.

AI 208
article thumbnail

Agent Tooling: Connecting AI to Your Tools, Systems & Data

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.

article thumbnail

Crusoe Closes $600M in Series D Round at $2.8 Billion Valuation to Power AI

insideBIGDATA

Crusoe, the vertically integrated AI infrastructure provider, announced it has closed a $600 million Series D funding round. The investment was led by Founders Fund, with participation from new and existing investors, including Fidelity, Long Journey Ventures, Mubadala, NVIDIA, Ribbit Capital, and Valor Equity Partners.

AI 396
article thumbnail

The Top 8 Computing Stories of 2024

Flipboard

This year, IEEE Spectrum readers had a keen interest in all things software: Whats going on in the tumultuous world of open-source, why the sheer size of code is causing security vulnerabilities, and how we need to take seriously the energy costs of inefficient code. The ever-growing presence of artificial intelligence also made itself known in the computing world, by introducing an LLM-powered Internet search tool, finding ways around AIs voracious data appetite in scientific applications, and

article thumbnail

AI Ethics in Data Preparation: A Responsibility We Can’t Ignore!

Data Science Blog

Data is the lifeblood of modern decision-making, and AI systems rely heavily on it. However, the quality and ethical implications of this data are paramount. The Importance of Ethical Data Preparation Ethical data preparation is fundamental to the success of AI systems. It’s like ensuring the bricks and mortar used in building a house are sound.

article thumbnail

LLM Benchmarks for Comprehensive Model Evaluation 

Data Science Dojo

In the rapidly evolving world of artificial intelligence, Large Language Models (LLMs) have become pivotal in transforming how machines understand and generate human language. To ensure these models are both effective and responsible, LLM benchmarks play a crucial role in evaluating their capabilities and limitations. This blog delves into the significance of popular benchmarks for LLM and explores some of the most influential LLM benchmarks shaping the future of AI.

AI 418
article thumbnail

How to Modernize Manufacturing Without Losing Control

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

article thumbnail

Top 50 Python Libraries to Know in 2025

Analytics Vidhya

Python’s versatility and readability have solidified its position as the go-to language for data science, machine learning, and AI. With a rich ecosystem of libraries, Python empowers developers to tackle complex tasks with ease. In this comprehensive guide, we’ll explore the top 50 Python libraries that will shape the future of technology.

Python 288
article thumbnail

AWS takes on Nvidia and Amazon shares are loving it

Dataconomy

Amazon Web Services (AWS) announced the launch of a new AI supercomputer, Project Rainier, constructed from its proprietary Trainium chips, aiming to rival Nvidia’s dominance in the AI chip market. This supercomputer, which will be finalized by 2025, is poised to be one of the largest ever used for training AI models. Following this revelation, Amazon’s stock price increased by over 1%, reaching nearly $213.

AWS 203
article thumbnail

How the Age of Generative AI is Changing a CISOs Approach to Security

insideBIGDATA

In this contributed article, Chris Peake, Chief Information Security Officer (CISO) and Senior Vice President of Security at Smartsheet, explores how the role of CISOs is evolving to address new security challenges posed by generative AI. The article underscores the importance of collaboration and adaptability to keep organizations secure as AI is expected to continue to reshape cybersecurity in 2025.

AI 435
article thumbnail

Perplexity acquires Carbon, a Seattle startup that helps developers connect data sources to LLMs

Flipboard

Carbon CEO Derek Tu. (LinkedIn Photo) Perplexity , an OpenAI rival valued at $9 billion, acquired Carbon , a Seattle startup that helps companies connect external data sources to their large language models. Founded in 2022, Carbon streamlines the way LLMs access unstructured data from third-party applications such as Google Drive and SharePoint. The company’s four employees will join San Francisco-based Perplexity, which offers AI search products and has seen its valuation skyrocket this

article thumbnail

Automation, Evolved: Your New Playbook for Smarter Knowledge Work

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.

article thumbnail

Using transcription confidence scores to improve slot filling in Amazon Lex

AWS Machine Learning Blog

When building voice-enabled chatbots with Amazon Lex , one of the biggest challenges is accurately capturing user speech input for slot values. For example, when a user needs to provide their account number or confirmation code, speech recognition accuracy becomes crucial. This is where transcription confidence scores come in to help ensure reliable slot filling.

AWS 118
article thumbnail

What is Overparameterization in LLMs? From Overfitting Myths to Power Laws!

Data Science Dojo

What is similar between a child learning to speak and an LLM learning the human language? They both learn from examples and available information to understand and communicate. For instance, if a child hears the word ‘apple’ while holding one, they slowly associate the word with the object. Repetition and context will refine their understanding over time, enabling them to use the word correctly.

AI 397
article thumbnail

Marco-o1 vs Llama 3.2: Which is Better?

Analytics Vidhya

OpenAI’s o1 model has generated considerable excitement in the field of large reasoning models (LRMs) due to its advanced capabilities in tackling complex problems. Building on this foundation, Marco-o1 emerges as a new LRM that not only emphasizes traditional disciplines such as mathematics and coding but also prioritizes open-ended problem-solving across a variety of domains.

Analytics 290
article thumbnail

How Quantum Computing stock (QUBT) jumped 300%

Dataconomy

The stock price of Quantum Computing Inc. (NASDAQ: QUBT) surged 300% over the past month despite a significant 40% drop on December 19. This volatility highlights the speculative nature of quantum computing stocks, driven by recent advancements and government funding. QUBT specializes in affordable quantum computers that operate at room temperature, focusing on high-performance computing, cybersecurity, imaging, and sensing.

215
215
article thumbnail

The 2nd Generation of Innovation Management: A Survival Guide

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?

article thumbnail

KNIME Releases AI Companion to Drive Smarter Collaboration with AI

insideBIGDATA

KNIME, the open source data analytics and AI company, announced the launch of its AI companion K-AI to all users. With K-AI, users can co-create powerful data workflows with AI. K-AI will answer questions, make recommendations, and extend or build whole data workflows based on user prompts.

AI 388
article thumbnail

STAT+: Generative AI is transforming radiology, and it’s only the beginning

Flipboard

By 2030, agreed a roomful of radiologists in Chicago this week, generative AI will be ubiquitous in their written work.  Medical imaging already leads the way in the clinical application of artificial intelligence: Algorithms that help to analyze CT scans, MRIs, and X-rays account for more than three-quarters of AI-based devices authorized by the Food and Drug Administration.

article thumbnail

Job Hunting in 2025: What You Need to Know

KDnuggets

This is a quick shortlist to make sure youre ticking off the essentials for your job hunt in 2025.

337
337
article thumbnail

Data Augmentation: A Comprehensive Guide

Data Science Dojo

Let’s suppose youre training a machine learning model to detect diseases from X-rays. Your dataset contains only 1,000 imagesa number too small to capture the diversity of real-world cases. Limited data often leads to underperforming models that overfit and fail to generalize well. It seems like an obstacle – until you discover data augmentation.

article thumbnail

Optimizing The Modern Developer Experience with Coder

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.

article thumbnail

5 Top Paper of NeurIPS 2024 that you Must Read

Analytics Vidhya

The NeurIPS 2024 Best Paper Awards were announced, spotlighting exceptional contributions to the field of Machine Learning. This year, 15,671 papers were submitted, of which 4,037 were accepted, representing an acceptance rate of 25.76%. These prestigious awards are the result of rigorous evaluation by specialized committees, comprising prominent researchers with diverse expertise, nominated and approved […] The post 5 Top Paper of NeurIPS 2024 that you Must Read appeared first on Analytic

article thumbnail

What’s next for Broadcom stock after a 240% three-year climb?

Dataconomy

Broadcom’s impressive rise in the semiconductor market reflects significant revenue growth, driven largely by its custom AI solutions and recent VMware integration. The company’s shares have surged approximately 240% over the past three years, considerably outperforming the PHLX Semiconductor Sector index, which observed a 27% increase during the same period.

article thumbnail

Capital One Survey Around AI Readiness

insideBIGDATA

A new Capital Onesurvey"AI readiness survey: Are companies ready for AI adoption?" found that 87% of business leaders see their data ecosystem as ready to build and deploy AI at scale, yet 70% of technical practitioners spend hours daily fixing data issues.

AI 397
article thumbnail

Syngenta develops a generative AI assistant to support sales representatives using Amazon Bedrock Agents

Flipboard

This post was written with Zach Marston and Serg Masis from Syngenta. Syngenta and AWS collaborated to develop Cropwise AI , an innovative solution powered by Amazon Bedrock Agents , to accelerate their sales reps’ ability to place Syngenta seed products with growers across North America. Cropwise AI harnesses the power of generative AI using AWS to enhance Syngenta’s seed selection tools and streamline the decision-making process for farmers and sales representatives.

AWS 150
article thumbnail

Apache Airflow® Best Practices: DAG Writing

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!