Sat.Jun 17, 2023 - Fri.Jun 23, 2023

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Why Data Security is Critical to Creating Effective AI Programs

ODSC - Open Data Science

Artificial intelligence (AI) programs have hogged headlines recently and the industry is set to grow exponentially over the next few years. As models such as the ones released by OpenAI grow and disrupt several business activities, data has become more important than ever. Observers typically associate data security with large enterprises and their networks.

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Book Review: The Kaggle Book/Workbook

insideBIGDATA

Kaggle is an incredible resource for all data scientists. I advise my Intro to Data Science students at UCLA to take advantage of Kaggle by first completing the venerable Titanic Getting Started Prediction Challenge, and then moving on to active challenges. Kaggle is a great way to gain valuable experience with data science and machine learning. Now, there are two excellent books to lead you through the Kaggle process.

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Crop Yield Prediction Using Machine Learning And Flask Deployment

Analytics Vidhya

Introduction Crop yield prediction is an essential predictive analytics technique in the agriculture industry. It is an agricultural practice that can help farmers and farming businesses predict crop yield in a particular season when to plant a crop, and when to harvest for better crop yield. Predictive analytics is a powerful tool that can help […] The post Crop Yield Prediction Using Machine Learning And Flask Deployment appeared first on Analytics Vidhya.

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Noteable Plugin: The ChatGPT Plugin That Automates Data Analysis

KDnuggets

Fast forward your EDA process using this ChatGPT plugin.

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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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Data-driven marketing in 2023: The science behind data analysis and effective campaigns

Data Science Dojo

Hello there, dear reader! It’s an absolute pleasure to have you here. Today, we’re embarking on a thrilling journey into the heart of data-driven marketing. Don’t worry, though; this isn’t your average marketing chat! We’re delving into the very science that makes marketing tick. So, grab a cup of tea, sit back, and let’s unravel the fascinating ties between marketing Trust me, it’s going to be a real hoot!

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Heard on the Street – 6/20/2023

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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More Trending

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Are Data Scientists Still Needed in the Age of Generative AI?

KDnuggets

The Rise of ChatGPT.

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How Databricks’ Lakehouse is helping to power a new era for TD Bank Group's Data Transformation

databricks

This blog is the first of a 3-part series chronicling TD Bank's Data Platform transformation and the enablement of their Data as a.

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Your Data Warehouse is Currently your Company’s Crown Jewels — and that’s a Problem

insideBIGDATA

In this contributed article, Jason Davis, Ph.D. ,CEO and co-founder of Simon Data, believes that when companies try to pull together all the data streams in a warehouse, they can run into several challenges that make it hard to get a comprehensive picture and create effective personalization. Here are a few ways to help you combat these problems and drive meaningful results using your cloud data warehouse.

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Google Cloud Helps Macquarie Bank Enhance AI-Banking Capabilities

Analytics Vidhya

Macquarie’s Banking and Financial Services Group has joined forces with Google Cloud to harness the power of artificial intelligence (AI) and machine learning (ML) in an exciting collaboration to revolutionize the banking industry. This partnership aims to enhance customer banking experiences by developing predictive analysis models and streamlining banking processes through automation.

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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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A Practical Guide to Transfer Learning using PyTorch

KDnuggets

In this article, we’ll learn to adapt pre-trained models to custom classification tasks using a technique called transfer learning. We will demonstrate it for an image classification task using PyTorch, and compare transfer learning on 3 pre-trained models, Vgg16, ResNet50, and ResNet152.

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Accelerating Innovation at JetBlue Using Databricks

databricks

This blog is authored by Sai Ravuru Senior Manager of Data Science & Analytics at JetBlue The role of data in the aviation.

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SaaS Security Requires Self-Supervised Learning with Context

insideBIGDATA

In this contributed article, Tal Shapira, Ph.D., co-founder and chief scientist at Reco, discusses the need for self-supervised learning to combat the growing attack surface that SaaS-based applications have opened up for organizations. SaaS tools and applications have revolutionized the workplace in many ways – and we certainly don’t want to put an end to that.

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How Google Rates Content: Latest Updates

Analytics Vidhya

Google, the world’s leading search engine, has made significant strides in understanding and adapting to artificial intelligence (AI) technology. At the recent Google Search Central Live Tokyo 2023 event, Gary Illyes and other experts shared valuable insights into Google’s approach to AI-generated content. In this article, we will delve into Google’s policy on AI content […] The post How Google Rates Content: Latest Updates appeared first on Analytics Vidhya.

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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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Closing the Gap Between Human Understanding and Machine Learning: Explainable AI as a Solution

KDnuggets

This article elaborates on the importance of Explainable AI (XAI), what the challenges in building interpretable AI models are, and some practical guidelines for companies to build XAI models.

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Databricks on AWS Guide to Data + AI Summit 2023 featuring Labcorp, Conde Nast, Grammarly, Vizio, NTT Data, Impetus, Amgen, and YipitData

databricks

This is a collaborative post from Databricks and Amazon Web Services (AWS). We thank Venkat Viswanathan, Data and Analytics Strategy Leader, Partner Solutions.

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Big Data Clusters: Building the Best Infrastructure Platform for Big Data Workloads

insideBIGDATA

Our friends over at Silicon Mechanics put together a guide for the Triton Big Data Cluster™ reference architecture that addresses many challenges and can be the big data analytics and DL training solution blueprint many organizations need to start their big data infrastructure journey. The guide is for a technical person, especially those who might be a system admin in government, research, financial services, life sciences, oil and gas, or a similarly compute-intensive field.

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SARIMA Model for Forecasting Currency Exchange Rates

Analytics Vidhya

Introduction Forecasting currency exchange rates is the practice of anticipating future changes in the value of one currency about another. Currency forecasting may assist people, corporations, and financial organizations make educated financial decisions. One of the forecasting techniques that can be used is SARIMA. SARIMA is an excellent time series forecasting technique for estimating time series […] The post SARIMA Model for Forecasting Currency Exchange Rates appeared first on Analyti

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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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Orca LLM: Simulating the Reasoning Processes of ChatGPT

KDnuggets

Orca is a 13B parameter model that learns to imitate the reasoning processes of LFMs. It uses progressive learning and teacher assistance from ChatGPT to overcome capacity gaps. By leveraging rich signals from GPT-4, Orca enhances its capabilities and improves imitation learning performance.

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Empowering All Teams with Data & AI: Announcing the Finalists for the 2023 Databricks Data Team Democratization Award

databricks

The annual Data Team Awards showcase how different enterprise data teams are delivering solutions to some of the world’s toughest problems. Nearly 300 n.

AI 246
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AWS Announces Generative AI Innovation Center with $100 million Investment

insideBIGDATA

Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), today announced the AWS Generative AI Innovation Center, a new program to help customers successfully build and deploy generative artificial intelligence (AI) solutions. AWS is investing $100 million in the program, which will connect AWS AI and machine learning (ML) experts with customers around the globe to help them envision, design, and launch new generative AI products, services, and processes.

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Power BI vs Tableau: Similarities and Differences

Analytics Vidhya

Efficient decision-making is the result of combining information, analysis, and effectiveness. That’s why businesses of all types and sizes are embracing data visualization, albeit often with a simplified approach. Power BI and Tableau, popular and user-friendly data visualization tools, help businesses organize large datasets. While both software are crucial for efficient data organization, comparing Power […] The post Power BI vs Tableau: Similarities and Differences appeared first

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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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Calculate Computational Efficiency of Deep Learning Models with FLOPs and MACs

KDnuggets

In this article we will learn about its definition, differences and how to calculate FLOPs and MACs using Python packages.

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Build governed pipelines with Delta Live Tables and Unity Catalog

databricks

We are excited to announce the public preview of Unity Catalog support for Delta Live Tables (DLT). With this preview, any data team.

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“Above the Trend Line” – Your Industry Rumor Central for 6/21/2023

insideBIGDATA

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

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Understanding Attention Mechanisms Using Multi-Head Attention

Analytics Vidhya

Introduction A good way to get in-depth knowledge about Transformer models is to learn about attention mechanisms. In this light, learning about multi-head attention in particular before learning other types of attention mechanisms is also a great choice. This is because the concept tends to be a bit easier to grasp. Attention mechanisms can be […] The post Understanding Attention Mechanisms Using Multi-Head Attention appeared first on Analytics Vidhya.

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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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Using RAPIDS cuDF to Leverage GPU in Feature Engineering

KDnuggets

Improving Performance by Replacing Pandas with cuDF in Creating Data Frames and Engineering Features and Integrating with Google Colab.

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Advancing Business with Data & AI: Announcing the Finalists for the 2023 Databricks Data Team Transformation Award

databricks

The annual Data Team Awards showcase how different enterprise data teams are delivering solutions to some of the world’s toughest problems. Nearly 300 n.

AI 246
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Luma AI: Turn smartphone captures into 3D models

Dataconomy

Meet Luma AI, a great tool known for creators to capture and transform real-world objects into photorealistic digital assets. As a powerful and accessible application, Luma AI grants users the ability to translate the intricacies of our physical world into immersive 3D models, all from the convenience of their smartphones. What is Luma AI? Luma AI is an innovative artificial intelligence tool that empowers users to produce incredibly realistic 3D visual assets with just a smartphone.

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How Does AI Medical Diagnosis Work?

Analytics Vidhya

In medicine, artificial intelligence (AI) is being used more and more regularly, particularly in diagnosis and treatment planning. AI and machine learning have become effective diagnostic tools in recent years. By offering more accurate diagnoses, this technology can potentially change healthcare. Artificial intelligence facilitates healthcare management, automation, administration, and workflows in medical diagnostics.

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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!