November, 2023

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The 6 next big things in AI and data for 2023

Flipboard

These innovations are putting AI to work right now, in areas ranging from customer service to video production to software engineering. One year ago, the appearance of OpenAI’s ChatGPT set off an AI arms race among Big Tech companies.

AI 181
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ChatGPT generates fake data set to support scientific hypothesis

Hacker News

Researchers say that the model behind the chatbot fabricated a convincing bogus database, but a forensic examination shows it doesn’t pass for authentic. Researchers say that the model behind the chatbot fabricated a convincing bogus database, but a forensic examination shows it doesn’t pass for authentic.

Database 182
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OpenAI's Chaos Linked to Super Powerful New AI It Secretly Built

Flipboard

OpenAI's latest AI could represent a "tremendous leap" forward.

AI 181
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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
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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.

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Heard on the Street – 11/15/2023

insideBIGDATA

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

Big Data 493
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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

More Trending

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Pika 1.0: A New AI Model for Video Creation

Analytics Vidhya

In a world captivated by generative AI, Pika, a startup specializing in AI-powered video creation, has secured a staggering $55 million in a recent funding round led by Lightspeed Venture Partners. This influx of capital aligns with the launch of Pika 1.0, a groundbreaking suite of videography tools designed to transform the landscape of video […] The post Pika 1.0: A New AI Model for Video Creation appeared first on Analytics Vidhya.

AI 349
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Is The Cloud Down, Or Just Disconnected?

Adrian Bridgwater for Forbes

Is the cloud down? Maybe not, the hyperscalers are good at cleaning & balancing SaaS delivery pipes. There may be ghosts in any machine, it’s worth looking inside first.

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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
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Happy Birthday ChatGPT!

insideBIGDATA

Today, November 30, 2023, mark’s the first anniversary of OpenAI’s ChatGPT. In the last year, the AI chatbot has secured support from major Silicon Valley companies and seen integration across various fields including academia, the arts, marketing, medicine, gaming, and government. These are exciting times, so we decided to put together this round-up of commentaries from around the big data ecosystem.

Big Data 468
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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.

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SQL for Data Visualization: How to Prepare Data for Charts and Graphs

KDnuggets

Unlock the Power of SQL in Data Visualization: Master the Art of Preparing Data for Impactful Charts and Graphs.

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Creating a bespoke LLM for AI-generated documentation

databricks

We recently announced our AI-generated documentation feature, which uses large language models (LLMs) to automatically generate documentation for tables and columns in Unity.

AI 363
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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

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NTT Beats New Drum To Bring Photonics-Powered AI To Industry

Adrian Bridgwater for Forbes

Light-based photonics rather than silicon & electricity, photonics can give us 125 times more transmission capacity than silicon and it is 100x more power efficient

AI 303
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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

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Evaluating large language models (LLMs) – Insights about transforming trends

Data Science Dojo

In the dynamic landscape of artificial intelligence, the emergence of Large Language Models (LLMs) has propelled the field of natural language processing into uncharted territories. As these models, exemplified by giants like GPT-3 and BERT, continue to evolve and scale in complexity, the need for robust evaluation methods becomes increasingly paramount.

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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
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How To Write Efficient Python Code: A Tutorial for Beginners

KDnuggets

Are you a programmer looking to get better at Python? Learn some of Python’s features that’ll help you write more elegant and Pythonic code.

Python 368
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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.

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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.

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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.

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AWS Technology VP: What Cloud Does Next

Adrian Bridgwater for Forbes

Mai-Lan Tomsen Bukovec, vice president of technology at Amazon Web Services, Inc. (AWS) explains where cloud is now. and what comes next.

AWS 297
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A leap towards artificial general intelligence AGI – The mystery of Q*

Data Science Dojo

In the ever-evolving landscape of AI, a mysterious breakthrough known as Q* has surfaced, capturing the imagination of researchers and enthusiasts alike. This enigmatic creation by OpenAI is believed to represent a significant stride towards achieving Artificial General Intelligence (AGI), promising advancements that could reshape the capabilities of AI models.

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2023 ML Pulse Report: The Latest Trends and Challenges in Machine Learning

insideBIGDATA

Our friends over at Sama recently published a comprehensive report on the potential and challenges of AI as reported by Machine Learning professionals.

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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?

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Building Data Pipelines to Create Apps with Large Language Models

KDnuggets

For production grade LLM apps, you need a robust data pipeline. This article talks about the different stages of building a Gen AI data pipeline and what is included in these stages.

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Enhancing your team’s performance by building a data culture

databricks

Defining what a data culture is can vary by organization. A data culture is the shared values, attitudes, and behaviors that enable organizations.

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Enhancing Podcast Accessibility: A Guide to LLM Text Highlighting

Analytics Vidhya

Introduction Imagine loving a podcast and wishing to remember the best bits, but it’s all sound, no text. What do you do? That’s where cool tools like LLMs and Audio-to-Text translators step in. They magically turn spoken words into written notes, letting you easily pick out the gems and create handy bullet points. So, your […] The post Enhancing Podcast Accessibility: A Guide to LLM Text Highlighting appeared first on Analytics Vidhya.

Analytics 337
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Open data using AI for climate action

DrivenData Labs

This is a follow-on post to a previous summary of the ways that organizations are using AI for climate action. It consolidates a range of real-world datasets from DrivenData challenges for anyone looking to get hands-on experience. Climate change poses a massive challenge, with far-reaching impacts. Many data scientists and developers are aware of the need for action and are interested in finding problems to take on.

AI 292
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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.

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Best practices to overcome the risks of large language models LLMs 

Data Science Dojo

Large language models hold the promise of transforming multiple industries, but they come with a set of potential risks. These risks of large language models include subjectivity, bias, prompt vulnerabilities, and more. In this blog, we’ll explore these challenges and present best practices to mitigate them, covering the use of guardrails, defensive UX design, LLM caching, user feedback, and data selection for fair and equitable results.

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What is a RAG? 

insideBIGDATA

In this contributed article, Magnus Revang, Chief Product Officer of Openstream.ai, points out that In the Large Language Model space, one acronym is frequently put forward as the solution to all the weaknesses. Hallucinations? RAG. Privacy? RAG. Confidentiality? RAG. Unfortunately, when asked to define RAG, the definitions are all over the place.

Big Data 433
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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.

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To Tailgate or Not? How Databricks + AccuWeather used ML to answer every football fan's burning question

databricks

Whether you’re an NFL fanatic, an alumnus rooting for your alma mater or a super fan just trying to catch a glimpse of T.

ML 328
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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!