Sat.Nov 04, 2023 - Fri.Nov 10, 2023

article thumbnail

5 Step Blueprint to Your Next Data Science Problem

KDnuggets

Ever sat there and thought about what steps you need to take to tackle your data science problem?

article thumbnail

Generative AI in marketing: 2024 key trends of digital marketing

Data Science Dojo

In today’s digital marketing world, things are changing fast. And AI in marketing is a big part of that. Artificial intelligence (AI) is rapidly transforming the marketing landscape, making it increasingly important for marketers to integrate AI into their work. How marketers can leverage AI AI can provide marketers with a number of benefits, including: Increased efficiency and productivity: AI can automate many time-consuming tasks, such as data analysis, content creation, and ad targeti

AI 528
professionals

Sign Up for our Newsletter

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

article thumbnail

New Study Reveals Organizations Embrace Generative AI and Human-in-the-Loop Automation Amidst Rising Costs and Frequency of Service Incidents

insideBIGDATA

Transposit, the AI-powered incident management company, today announced results from its third annual State of DevOps Automation and AI research study about the intricate challenges faced by organizations in managing incidents effectively.

AI 459
article thumbnail

Databricks + Arcion: Real-time enterprise data replication to the Lakehouse

databricks

We are excited to announce that we have completed our acquisition of Arcion, a leading provider for real-time data replication technologies. Arcion’s capabilities w.

348
348
article thumbnail

What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

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

5 Free University Courses on Data Analytics

KDnuggets

Thinking about getting into the data analytical world but do not know where to start? Have a look at these 5 FREE university courses on data analytics.

Analytics 386
article thumbnail

Python libraries for generative AI 

Data Science Dojo

Generative AI is a branch of artificial intelligence that focuses on the creation of new content, such as text, images, music, and code. This is done by training machine learning models on large datasets of existing content, which the model then uses to generate new and original content. Want to build a custom large language model ? Check out our in-person LLM bootcamp.

Python 524

More Trending

article thumbnail

This move by OpenAI will pave the way for AGI

Analytics Vidhya

In a groundbreaking move towards advancing artificial intelligence (AI) capabilities, OpenAI has unveiled its Data Partnerships initiative. This program invites collaboration with organizations worldwide to collectively build comprehensive public and private datasets aimed at enhancing AI model training and paving way toward AGI. The Need for Diverse Training Datasets The foundation of modern AI lies […] The post This move by OpenAI will pave the way for AGI appeared first on Analytics Vid

article thumbnail

Back to Basics Week 1: Python Programming & Data Science Foundations

KDnuggets

Cultivate your data science expertise with KDnuggets' Back to Basics pathway, which includes Python, data manipulation, and visualization.

article thumbnail

How ChatGPT can improve your data science skills

Data Science Dojo

With the advent of language models like ChatGPT , improving your data science skills has never been easier. Data science has become an increasingly important field in recent years, as the amount of data generated by businesses, organizations, and individuals has grown exponentially. With the help of artificial intelligence (AI) and machine learning (ML), data scientists are able to extract valuable insights from this data to inform decision-making and drive business success.

article thumbnail

Report Highlights Policy Changes to Manage AI Displacement

insideBIGDATA

The Global Partnership on Artificial Intelligence (GPAI) has just released a new report, "Generative AI, Jobs, and Policy Response," focused on the biggest pain points regarding GenAI, specifically how it will impact the workforce.

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

Monitoring Data Quality for Your Big Data Pipelines Made Easy

Analytics Vidhya

Introduction Imagine yourself in command of a sizable cargo ship sailing through hazardous waters. It is your responsibility to deliver precious cargo to its destination safely. Determine success by the precision of your charts, the equipment’s dependability, and your crew’s expertise. A single mistake, glitch, or slip-up could endanger the trip. In the data-driven world […] The post Monitoring Data Quality for Your Big Data Pipelines Made Easy appeared first on Analytics Vidhya.

article thumbnail

Introduction to Giskard: Open-Source Quality Management for AI Models

KDnuggets

To solve the conundrum of ensuring the quality of AI models in production — especially given the emergence of LLMs — we are thrilled to announce the official launch of Giskard, the premier open-source AI quality management system.

AI 363
article thumbnail

Introducing Python User-Defined Table Functions (UDTFs)

databricks

Apache Spark™ 3.5 and Databricks Runtime 14.0 have brought an exciting feature to the table: Python user-defined table functions (UDTFs). In this blog p.

Python 312
article thumbnail

IBM Launches $500 Million Enterprise AI Venture Fund

insideBIGDATA

IBM (NYSE: IBM) today announced that it is launching a $500 million venture fund to invest in a range of AI companies - from early-stage to hyper-growth startups - focused on accelerating generative AI technology and research for the enterprise.

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

A New Era of Text Generation: RAG, LangChain, and Vector Databases

Analytics Vidhya

Introduction Innovative techniques continually reshape how machines understand and generate human language in the rapidly evolving landscape of natural language processing. One such groundbreaking approach is Retrieval Augmented Generation (RAG), which combines the power of generative models like GPT (Generative Pretrained Transformer) with the efficiency of vector databases and langchain.

Database 336
article thumbnail

Using ChatGPT to Help Land a Data Science Job

KDnuggets

Use the power of LLM to help you achieve your dream career.

article thumbnail

Image Feature Extraction in OpenCV: Edges and Corners

Machine Learning Mastery

In the world of computer vision and image processing, the ability to extract meaningful features from images is important. These features serve as vital inputs for various downstream tasks, such as object detection and classification. There are multiple ways to find these features. The naive way is to count the pixels. But in OpenCV, there […] The post Image Feature Extraction in OpenCV: Edges and Corners appeared first on MachineLearningMastery.com.

article thumbnail

Video Highlights: PyTorch 2.0 on the ROCm Platform

insideBIGDATA

From the recent PyTorch Conference we present a Lightning Talk: PyTorch 2.0 on the ROCm Platform by Douglas Lehr, Principal Engineer at AMD. Douglas talks about the current state of PyTorch on the ROCm platform including efforts to achieve day 0 support for Triton on Pytorch 2.0 as well as performance improvements, efforts with Huggingface, and other areas.

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

Top 50+ Geospatial Python Libraries

Analytics Vidhya

Introduction Geospatial analysis, the process of examining and interpreting data within a geographic or spatial context, is a crucial component of various fields, from urban planning and environmental science to logistics and disaster management. From data access and manipulation to advanced machine learning techniques and seamless integration with Geographic Information System (GIS) software, Python is […] The post Top 50+ Geospatial Python Libraries appeared first on Analytics Vidhya.

Python 333
article thumbnail

AI + No-Code: The Viral Combo Redefining Developer Innovation

KDnuggets

Time is the one thing developers can never get back. The author, discusses the value of low code/no code platforms backed by AI in promoting faster development times and increased business agility.

AI 355
article thumbnail

Arrow-optimized Python UDFs in Apache Spark™ 3.5

databricks

In Apache Spark™, Python User-Defined Functions (UDFs) are among the most popular features. They empower users to craft custom code tailored to their u.

Python 290
article thumbnail

Why Enterprises Should Run, Not Walk, to Combine AI & AR

insideBIGDATA

In this contributed article, Kelly Peng, CEO and chief technology officer of Kura, discusses how marriage of AI and AR can combine to give us a world where we can do everything from communicate across language barriers to collaborate with remote employees like never before.

AI 363
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

What are Association Rules in Data Mining?

Analytics Vidhya

Introduction The evolution of humans from coal mining to data mining holds immense contributions to human growth and technological development. Changing the extent of physical work involved, the weight has now shifted towards mental exertion to perform this new type of mining. The data mining process includes multiple aspects, including the Association rule, which is […] The post What are Association Rules in Data Mining?

article thumbnail

365 Data Science Offers Free Course Access Until Nov. 20

KDnuggets

From November 6 (07:00 PST) to November 20 (07:00 PST), enjoy free unlimited access to 365 Data Science's comprehensive curriculum, interactive courses, practical data projects, and earn industry-recognized certificates—all at no charge.

article thumbnail

FinOps Counts, But We’re Not Cashing In Yet

Adrian Bridgwater for Forbes

FinOps counts. There can be no simpler sentence in cloud computing, even ‘cloud is flexible’ takes three words.

article thumbnail

IBM’s Groundbreaking Analog AI Chip: Ushers New Era  of Efficiency and Accuracy  

insideBIGDATA

In this contributed article blogger Justin Varghise discusses the ground breaking advancement for AI that IBM has unveiled - a cutting edge analog AI chip that promises and has potential to redefine the landscape of deep neural networks (DNNs). This chip is 100 times more energy-efficient and up to 10 times faster than traditional digital AI chips for performing deep neural network (DNN) computations.

AI 284
article thumbnail

How to Achieve High-Accuracy Results When Using LLMs

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

article thumbnail

KOSMOS-2: A Multimodal Large Language Model by Microsoft

Analytics Vidhya

Introduction 2023 has been an AI year, from language models to stable diffusion models. One of the new players that has taken center stage is the KOSMOS-2, developed by Microsoft. It is a multimodal large language model (MLLM) making waves with groundbreaking capabilities in understanding text and images. Developing a language model is one thing, […] The post KOSMOS-2: A Multimodal Large Language Model by Microsoft appeared first on Analytics Vidhya.

Analytics 329
article thumbnail

Learn How to Design & Deploy Responsible AI Systems

KDnuggets

Learn how to design & deploy responsible AI systems with this white paper from Teradata.

AI 338
article thumbnail

Supply Chain Disruption and ESG Risk Management Powered by Bloomberg Data in the Databricks Lakehouse Platform

databricks

This blog is the first of a series of blog posts highlighting industry-leading data providers we collaborate with and Marketplace data providers. Special.

279
279
article thumbnail

Qualys Expands IT Control Posture To ‘De-Risk’ Business

Adrian Bridgwater for Forbes

Enterprise software systems & stacks are endemically typified by their diversity, which is great for functionality, but creates wider business risk responsibility.

278
278
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!