Sat.Aug 05, 2023 - Fri.Aug 11, 2023

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The Cool Kids Corner: Change Management for Data Literacy

Dataversity

Hello! I’m Mark Horseman, and welcome to The Cool Kids Corner. This is my monthly check-in to share with you the people and ideas I encounter as a data evangelist with DATAVERSITY. This month we’re talking data literacy and change management. What is data literacy? Why is it important? What are the barriers? How do […] The post The Cool Kids Corner: Change Management for Data Literacy appeared first on DATAVERSITY.

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The 40-hour LLM application roadmap: Learn to build your own LLM applications from scratch

Data Science Dojo

Large language models (LLMs) are one of the most exciting developments in artificial intelligence. They have the potential to revolutionize a wide range of industries, from healthcare to customer service to education. But in order to realize this potential, we need more people who know how to build and deploy LLM applications. That’s where this blog comes in.

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The Economic Impact of the AI-powered Developer Lifecycle and Lessons from GitHub Copilot

insideBIGDATA

GitHub released new research detailing the potential economic impact and productivity benefits of generative AI. The company partnered with Harvard Professor Marco Iansiti, who’s well-known in the field, to dig into the impacts of GitHub’s Copilot tool, and generative AI more broadly. The potential is massive – the study found that AI developer productivity benefits could boost global GDP by over $1.5 trillion by 2030.

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Google LLMs Can Master Tools by Just Reading Documentation

Analytics Vidhya

In the age of rapid technological advancement, Artificial Intelligence (AI) is making remarkable strides that sometimes seem almost human-like. Google’s researchers have unveiled a groundbreaking achievement – Large Language Models (LLMs) can now harness Machine Learning (ML) models and APIs with the mere aid of tool documentation. This revelation has sparked discussions about the convergence […] The post Google LLMs Can Master Tools by Just Reading Documentation appeared first

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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.

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Harnessing ChatGPT for Automated Data Cleaning and Preprocessing

KDnuggets

A guide to using ChatGPT for the tasks of data cleaning and preprocessing on a real-world dataset.

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What’s new with Databricks SQL?

databricks

At this year's Data+AI Summit, Databricks SQL continued to push the boundaries of what a data warehouse can be, leveraging AI across the.

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More Trending

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10 Remarkable Use Cases of AI in Manufacturing

Analytics Vidhya

Amid the rapid evolution of modern manufacturing, the infusion of artificial intelligence (AI) has ignited an unparalleled revolution. This article covers the impact of AI in manufacturing, spotlighting its exceptional use cases. From predictive maintenance thwarting costly breakdowns to personalized manufacturing tailored to individual needs, AI’s influence permeates production processes.

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Fundamentals Of Statistics For Data Scientists and Analysts

KDnuggets

Key statistical concepts for your data science or data analysis journey.

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How to execute your operating model for Data and AI

databricks

In Part 1 of this blog series, we discussed how Databricks enables organizations to develop, manage and operate processes that extract value from.

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Revolutionizing Supply Chain Management: The Power of AI in Strategic Sourcing and Inventory Optimization

insideBIGDATA

In this contributed article, Rudrendu Kumar Paul, AI Expert and Applied ML industry professional, explores the transformative role of AI in strategic sourcing, inventory management, and risk management within supply chain operations. The article highlights how AI can optimize these processes, leading to more efficient and effective operations. A focus is on AI's ability to analyze vast amounts of data and generate actionable insights; examples of its application in predicting supplier performanc

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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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Disney Controversy in Hollywood: AI Steps In, Writers and Actors Step Out!

Analytics Vidhya

In the heart of Hollywood, AI has become a polarizing force. Disney writers and actors, custodians of the industry’s creative essence, fear AI could threaten their livelihoods. Consequently, concerns about AI innovation have escalated into a full-blown strike. Powerful entities such as the Screen Actors Guild and the Writers Guild of America lead the negotiations. […] The post Disney Controversy in Hollywood: AI Steps In, Writers and Actors Step Out!

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Data Scientists Need to Specialize to Survive the Tech Winter

KDnuggets

In this article, I explore the benefits of specialization for data scientists. Drawing on my own experience as a data scientist, I argue that specializing in a specific area can help you stand out in a crowded job market and provide you with more fulfilling career opportunities.

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How Verana Health Uses the Databricks Lakehouse to Democratize Data and Deploy AI for Medical Innovation

databricks

Across industries, data scientists spend up to 80% of their time trying to properly prepare and cleanse datasets for data mining and artificial.

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How GitOps Helps Developers (And Others)

Adrian Bridgwater for Forbes

What is Git when applied to operations & what lessons could it teach non-IT laypersons about the collaborative nature of the way this platform enables people to work?

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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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10 Ways to Use ChatGPT for Finance

Analytics Vidhya

Introduction The advent of AI has sparked a transformative revolution across industries, from crafting visuals to shaping presentations. You might be living under a rock if you haven’t heard about ChatGPT, the leading AI chatbot transforming the world. As ChatGPT continues to redefine conventional practices, its integration into the finance sector underscores its invaluable role […] The post 10 Ways to Use ChatGPT for Finance appeared first on Analytics Vidhya.

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Overcoming Barriers in Multi-lingual Voice Technology: Top 5 Challenges and Innovative Solutions

KDnuggets

Voice assistants like Siri, Alexa and Google Assistant are household names, but they still don't do well in multilingual settings. This article first provides an overview of how voice assistants work, and then dives into the top 5 challenges for voice assistants when it comes to providing a superior multilingual user experience. It also provides strategies for mitigation of these challenges.

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A New Partnership with Redox and How We Unlock Healthcare Data to Drive Advanced Analytics

databricks

Healthcare is sitting on mountains of data Pop quiz: Which industry accounts for about 30% of newly created data around the world and.

Analytics 246
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10 steps to become a prompt engineer: A comprehensive guide

Data Science Dojo

Prompt engineering involves creating and refining input text or instructions to guide AI models like ChatGPT and DALLE-2 in generating specific outputs. It is a crucial process to ensure that AI models produce desired results aligned with certain criteria or parameters. Prompt engineering includes the task of fine-tuning the input data used to train AI models, where careful selection and structuring of data maximize its usefulness for training.

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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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Google Adds AI-Powered Grammar Checker Feature: Learn How to Activate It

Analytics Vidhya

In a move that’s sending ripples through the online world, Google has quietly unveiled a new tool that aims to refine your language game. Stepping into the arena ruled by Grammarly and its kind, Google Search now offers an AI-backed grammar checker. This tool detects and fixes grammar errors on the fly, ensuring your sentences […] The post Google Adds AI-Powered Grammar Checker Feature: Learn How to Activate It appeared first on Analytics Vidhya.

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A Comprehensive Guide to MLOps

KDnuggets

Machine Learning Operations (MLOps) is a relatively new discipline that provides the structure and support necessary for machine learning (ML) models to thrive in production environments.

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Multiple Stateful Operators in Structured Streaming

databricks

In the world of data engineering, there are operations that have been used since the birth of ETL. You filter. You join. You.

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Unlocking data science 101: The essential elements of statistics, Python, models, and more

Data Science Dojo

Throughout the course of history, the significance of creating and disseminating information has been immensely crucial. In contemporary times, data science has emerged as a substantial and progressively expanding domain that has an impact on virtually every sphere of human ingenuity: be it commerce, technology, healthcare, education, governance, and beyond.

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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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Nvidia Unleashes Game-Changing AI Chip to Turbocharge Generative AI Applications

Analytics Vidhya

In an era where technology continuously pushes boundaries, Nvidia has once again left its mark. The company has launched the GH200 Grace Hopper Superchip, an advanced AI chip tailored to amplify generative AI applications. This latest innovation promises to revolutionize AI, offering enhanced performance, memory, and capabilities to propel AI to heights.

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Unveiling StableCode: A New Horizon in AI-Assisted Coding

KDnuggets

This article explores StableCode, an innovative AI product by Stability AI, designed to enhance coding efficiency and accessibility. It delves into its unique features, underlying technology, and potential impact on the developer community.

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Heard on the Street – 8/11/2023

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.

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Empowering transformation: 8 dynamic ways robotics revolutionize security, entertainment, and beyond

Data Science Dojo

The progressive rise of innovative technologies such as collaborative robotics, AI, and machine vision now provides robots with the potential to do tasks that usually require the capabilities of humans, from discrimination to manipulation. What was once thought impossible is now achievable for these high-tech machines. Robotics applications are normally developed for activities that require delivering specific results without being interrupted.

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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

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Crisis at Stability AI – Key Players Quit Amidst CEO Controversies!

Analytics Vidhya

London-based startup Stability AI Ltd. once dazzled the tech world with its groundbreaking Stable Diffusion AI model. But recent events have cast shadows on the company’s success story. A series of executive departures and concerns over the CEO’s credibility have caused ripples of uncertainty in an industry driven by ambitious innovation.

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5 Python Packages For Geospatial Data Analysis

KDnuggets

This article discusses the importance of geospatial analysis and introduces five essential Python packages for effectively handling and visualizing valuable insights from geospatial data.

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Why Cross-Customer Learning is Essential for AI Training

insideBIGDATA

In this contributed article, Oleg Rogynskyy, CEO and founder of People.ai, discusses his perspectives on "cross-customer learning" - where AI is trained on all available data sets across customer organizations in a safe, and private way – being the future of enterprise AI. Oleg believes that as this trend emerges, enterprises that aren't open to “cross-customer learning” will begin losing.

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Content with AI: Revolutionizing content optimization for efficiency in 2023

Data Science Dojo

Content with AI: Where creativity meets efficiency, unlocking a world of endless possibilities. AI has brought along a revolution in the world of IT, no doubt. But it has also spawned and sparked different debates about its overall effectiveness and whether it should be relied on or not. One of the things that AI is currently helping a lot of people do is content optimization.

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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!