Sat.Jul 29, 2023 - Fri.Aug 04, 2023

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AI-Ready Data Centers Are Poised for Fast Growth

Flipboard

Companies’ insatiable appetite for artificial intelligence is driving a fast-emerging market for data centers purpose built to handle compute-intensive AI applications.

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Interview: John Shaw, CEO, Add Value Machine, Inc.

insideBIGDATA

In this exclusive feature, we're thrilled to introduce John Shaw, CEO of Add Value Machine (shortly AVM). As a seasoned tech entrepreneur and AI visionary, John is at the helm of AVM's mission to revolutionize the way businesses utilize Generative AI. The company is dedicated to developing a secure and compliant platform, addressing a critical need for enterprises and accelerating the adoption of AI to drive substantial business value.

AI 370
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OpenAI Unveils 6 Exciting ChatGPT Features to Revolutionize User Experience

Analytics Vidhya

OpenAI, the pioneering company behind ChatGPT, continues to innovate and elevate the user experience with six exciting new features. These enhancements, set to launch in the coming week, aim to make interactions with ChatGPT more engaging, efficient, and productive. From prompt examples to keyboard shortcuts, let’s explore how these updates transform the way users interact […] The post OpenAI Unveils 6 Exciting ChatGPT Features to Revolutionize User Experience appeared first on Analy

Analytics 271
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Forget ChatGPT, This New AI Assistant Is Leagues Ahead and Will Change the Way You Work Forever

KDnuggets

I bet you are unfamiliar with this fast AI application, which provides flexibility, ease of use, and accurate results.

AI 271
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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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Smooth Sailing Ahead

databricks

The Databricks Container Infra team builds cloud-agnostic infrastructure and tooling for building, storing and distributing container images. Recently, the team worked on scaling.

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Marie Kondo, Zen and the Art of Enterprise Software – and Why You Need to Care

insideBIGDATA

In this contributed article, Joe McCunney, CEO & President, Scalar Labs, suggests that in its simplest terms, a Zen practice is the living embodiment of the phrase, “Less is more.” This article explains how embracing Zen principles – including concepts from master organizer Marie Kondo – and supportive tools can provide a consistent, simplified data management and validation framework in place.

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Multivariate Time-Series Prediction with BQML

KDnuggets

Google's BQML can be used to make time series models, and recently it was updated to create multivariate time series models. With the simple code, this article shows how to use it to predict multivariate time series and it can be more powerful than a univariate time series model in this article.

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AI and the future of work: What stays 100% human?

Cassie Kozyrkov

The bright side and the dark side of automation Continue reading on Medium »

AI 246
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Be Wary of Bias: Avoiding Data Bias in Artificial Intelligence

insideBIGDATA

In this contributed article, Philip Miller, a Customer Success Manager for Progress, discusses the emergence of data bias in AI and what steps business leaders and IT teams can take to avoid it. Specifically, Philip discusses the ways in which data bias arises due to lackluster datasets and how human oversight paired with proper data entry can better improve your AI performance.

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Exploring Multithreading: Concurrency and Parallel Execution in Python

Analytics Vidhya

Introduction Concurrency is a key component of computer programming that helps enhance applications’ speed and responsiveness. Multithreading is a potent method for creating concurrency in Python. Multiple threads can run concurrently within a single process using multithreading, enabling parallel execution and effective use of system resources.

Python 271
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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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Using SHAP Values for Model Interpretability in Machine Learning

KDnuggets

Discover how SHAP can help you understand the impact of model features on predictions.

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Announcing Databricks Belgrade Development Center

databricks

We are thrilled to announce the opening of Databricks’ latest development center in Belgrade, Serbia. This addition joins our existing R&D centers in A.

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Heard on the Street – 8/3/2023

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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A Comprehensive Guide to Fine-Tuning Large Language Models

Analytics Vidhya

Introduction Over the past few years, the landscape of natural language processing (NLP) has undergone a remarkable transformation, all thanks to the advent of large language models. These sophisticated models have opened the doors to a wide array of applications, ranging from language translation to sentiment analysis and even the creation of intelligent chatbots.

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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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KDnuggets News, August 2: ChatGPT Code Interpreter: Fast Data Science • Can’t Keep Up? Catch up on This Week in AI

KDnuggets

ChatGPT Code Interpreter: Do Data Science in Minutes • This Week in AI • Introduction to Statistical Learning, Python Edition: Free Book • 8 Programming Languages For Data Science to Learn in 2023 • Mastering GPUs: A Beginner's Guide to GPU-Accelerated DataFrames in Python

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Introducing Databricks Assistant, a context-aware AI assistant

databricks

Today, we are excited to announce the public preview of Databricks Assistant, a context-aware AI assistant, available natively in Databricks Notebooks, SQL editor.

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GitLab Developer Lead: Why Process And Simplicity Makes Better Software

Adrian Bridgwater for Forbes

Solid processes underpin the techniques used by IT teams to create functional enterprise software - and in fact, we might just discover that simple is often best.

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Adapting BERT Through Fine-tuning For Downstream Tasks

Analytics Vidhya

Introduction Adapting BERT for downstream tasks entails utilizing the pre-trained BERT model and customizing it for a particular task by adding a layer on top and training it on the target task. This technique allows the model to learn dependent on the task details from the data used for training while drawing on the knowledge of […] The post Adapting BERT Through Fine-tuning For Downstream Tasks appeared first on Analytics Vidhya.

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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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Mastering Regular Expressions with Python

KDnuggets

This article dives deep into the world of regular expressions with Python, providing a comprehensive guide for anyone looking to master this complex yet powerful tool, with detailed explanations and code examples.

Python 266
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Databricks and Technology Partners: Personalized Medicine with a Tailored Approach

databricks

In the ever-evolving realm of healthcare, two powerful trends have emerged: The rise of personalized medicine and the increasing emphasis on patient involvement.

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New Vectors For AI Data, Any Source Is The Special Sauce

Adrian Bridgwater for Forbes

We no longer just have database specialists – today we also have data movement specialists. Airbyte is one such firm.

Database 246
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Must Know 10 Common Bad Data Cases and Their Solutions

Analytics Vidhya

Introduction In the data-driven era, the significance of high-quality data cannot be overstated. The accuracy and reliability of data play a pivotal role in shaping crucial business decisions, impacting an organization’s reputation and long-term success. However, bad or poor-quality data can lead to disastrous outcomes. To safeguard against such pitfalls, organizations must be vigilant in […] The post Must Know 10 Common Bad Data Cases and Their Solutions appeared first on Analytics

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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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I Created An AI App In 3 Days

KDnuggets

After being impressed by ChatGPT, I created an innovative AI cover letter generator that matches user skills to job requirements to automate customized and relevant application letters.

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Design Patterns for LLM Systems & Products

Eugene Yan

Evals, RAG, fine-tuning, caching, guardrails, defensive UX, and collecting user feedback.

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Protecting Your Compute Resources From Bitcoin Miners With a Data Lakehouse

databricks

As cryptocurrencies, particularly Bitcoin, have grown in popularity, so has the phenomenon of Bitcoin mining. While normal mining operations are critical for blockchain.

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Codey: Google’s Generative AI for Coding Tasks

Analytics Vidhya

Introduction Since its introduction, OpenAI has released countless Generative AI and Large Language Models built on top of their top-tier GPT frameworks, including ChatGPT, their Generative Conversational AI. After the successful creation of conversational language models, developers are constantly trying to create Large Language Models that can either develop or assist developers in coding applications. […] The post Codey: Google’s Generative AI for Coding Tasks appeared first on Analytic

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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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LGBMClassifier: A Getting Started Guide

KDnuggets

This tutorial explores the LightGBM library in Python to build a classification model using the LGBMClassifier class.

Python 265
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AWS Strengthens SaaS Spanners For Cloud-Native Development

Adrian Bridgwater for Forbes

The major Cloud Service Provider (CSP) hyperscalers have established themselves pretty much from the outset as essentially Software-as-a-Service (SaaS) entities that s.

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Announcing new security controls and compliance certifications for Azure Databricks and AWS Databricks SQL Serverless

databricks

We're excited to share a new set of security controls and compliance certifications that can help with regulatory compliance on Azure Databricks and.

Azure 245
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Indian Student at MIT Creates Voice-Free Conversational Device

Analytics Vidhya

In a fascinating development, a student from the prestigious Massachusetts Institute of Technology (MIT) introduced AlterEgo, an innovative AI-enabled device. AlterEgo allows users to engage in natural language conversations with machines, AI assistants, services, and even other individuals without speaking a word aloud. Instead, users can articulate words internally, making communication seamless and discreet.

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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!