July, 2023

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A Guide to Data Science Project Management Methodologies

Flipboard

Project management can be one of the biggest challenges in data science projects. Learn how you can ensure your project management methods are down-packed and effective.

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Why Claude AI is your new go-to for complex tasks

Dataconomy

Enter Claude AI – a trailblazing innovation from Anthropic , the renowned artificial intelligence company. Here’s everything you need to know about this sophisticated AI and how it can transform your digital conversations. Anthropic, the renowned artificial intelligence firm established by former OpenAI employees, has recently made waves with the introduction of their AI chatbot, Claude.

AI 195
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ParDo and DoFn Implementation in Apache Beam in Details

Towards AI

Last Updated on August 1, 2023 by Editorial Team Author(s): Rashida Nasrin Sucky Originally published on Towards AI. Conclusion Photo by ODISSEI on Unsplash This member-only story is on us. Upgrade to access all of Medium. Detail Explanation of Code For Beginners I wrote a tutorial on some common transform functions in Apache Beam in a previous tutorial that covered map, filter, and combinePerKey().

AI 98
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Code Interpreter comes to all ChatGPT Plus users — ‘anyone can be a data analyst now’

Flipboard

OpenAI first announced third-party software application plug-ins for its hit service ChatGPT back in March, allowing users to extend its functionality to doing things like reading full PDFs.

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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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Artificial Intelligence: Real Estate Revolution or Evolution?

insideBIGDATA

Artificial Intelligence (AI) is increasingly becoming the most important topic of the year. From data centers to financial services to technology, every real estate sector is involved in AI in one way or another, as it can help improve real estate outcomes for both investors and tenants. Commercial real estate leader JLL’s recently published whitepaper "Artificial Intelligence: Real Estate Revolution or Evolution?

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Empowering Real-Time Insights with Website Monitoring Using Python

Analytics Vidhya

Introduction The purpose of this project is to develop a Python program that automates the process of monitoring and tracking changes across multiple websites. We aim to streamline the meticulous task of detecting and documenting modifications in web-based content by utilizing Python. This capability is invaluable for real-time news tracking, immediate product updates, and conducting […] The post Empowering Real-Time Insights with Website Monitoring Using Python appeared first on Analytics

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Reinforcement Learning: Teaching Computers to Make Optimal Decisions

KDnuggets

Reinforcement learning basics to get your feet wet. Learn the components and key concepts in the reinforcement loading framework: from agents and rewards to value functions, policy, and more.

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The Executive’s Guide to Data, Analytics and AI Transformation, Part 6: Allocate, monitor and optimize costs

databricks

This is part six of a multi-part series to share key insights and tactics with Senior Executives leading data and AI transformation initiatives.

Analytics 257
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Why Our Databases Are Changing

Adrian Bridgwater for Forbes

As the rise of modern, cloud-native distributed relational databases from cloud providers or independents continues to grow, what can we expect next?

Database 254
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Why You Need a Plan for Ongoing Unstructured Data Mobility

insideBIGDATA

In this contributed article, Krishna Subramanian, COO, president, and co-founder of Komprise, highlights that In the hybrid cloud, AI-enhanced enterprise, unstructured data is everywhere. and growing exponentially. Unstructured data mobility is not a one-time event, but an opportunity to continually right place data to meet organizational needs.

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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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Falcon AI: The New Open Source Large Language Model

Analytics Vidhya

Introduction Ever since the launch of GPT (Generative Pre Trained) by Open AI, the world has been taken by storm by Generative AI. From that period on, many Generative Models have come into the picture. With each release of new Generative Large Language Models, AI kept on coming closer to Human Intelligence. However, the Open […] The post Falcon AI: The New Open Source Large Language Model appeared first on Analytics Vidhya.

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Transforming finance: The power of Large Language Models in the financial industry

Data Science Dojo

Over the past few years, a shift has shifted from Natural Language Processing (NLP) to the emergence of Large Language Models (LLMs). This evolution is fueled by the exponential expansion of available data and the successful implementation of the Transformer architecture. Transformers, a type of Deep Learning model, have played a crucial role in the rise of LLMs.

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How to Build a Streaming Semi-structured Analytics Platform on Snowflake

KDnuggets

Building a datalake for semi-structured data or json has always been challenging. Imagine if the json documents are streaming or continuously flowing from healthcare vendors then we need a robust modern architecture that can deal with such a high volume. At the same time analytics layer also needs to be created so as to generate value from it.

Analytics 281
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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.

SQL 246
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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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Manual Overdrive: When - And When Not To Use Software Automation

Adrian Bridgwater for Forbes

Software systems are moving to some degree of automation, but we still need to be in the driving seat, or at the very least in control of the sat-nav and radio controls.

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Heard on the Street – 7/12/2023

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 418
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Beginner’s Guide to Build Your Own Large Language Models from Scratch

Analytics Vidhya

Introduction Be it twitter or Linkedin, I encounter numerous posts about Large Language Models(LLMs) each day. Perhaps I wondered why there’s such an incredible amount of research and development dedicated to these intriguing models. From ChatGPT to BARD, Falcon, and countless others, their names swirl around, leaving me eager to uncover their true nature.

Analytics 364
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How to build and deploy custom LLM applications for your business

Data Science Dojo

A custom large language model (LLM) application is a software application that is built using a custom LLM. Custom LLMs are trained on a specific dataset of text and code, which allows them to be more accurate and relevant to the specific needs of the application. Common LLM applications There are many different ways to use custom LLM applications. Some common applications include: Chatbots and virtual assistants: Custom LLMs can be used to create chatbots and virtual assistants that can unders

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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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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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Best Practices and Guidance for Cloud Engineers to Deploy Databricks on AWS: Part 3

databricks

For the final part of our Best Practices and Guidance for Cloud Engineers to Deploy Databricks on AWS series, we'll cover an important.

AWS 246
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Data Mesh Architecture on Cloud for BI, Data Science and Process Mining

Data Science Blog

Companies use Business Intelligence (BI), Data Science , and Process Mining to leverage data for better decision-making, improve operational efficiency, and gain a competitive edge. BI provides real-time data analysis and performance monitoring, while Data Science enables a deep dive into dependencies in data with data mining and automates decision making with predictive analytics and personalized customer experiences.

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Addressing the Challenges of Real-Time Data Sharing in IoT

insideBIGDATA

In this contributed article, Jeff Tao, Founder, CEO, and Core Developer of TDengine, discusses how the Internet of Things (IoT) has revolutionized how we live, work and share information. While IoT has made accessing data easier, real-time data sharing - which requires seamless and secure data transfer from connected devices in real-time - comes with its own challenges and concerns.

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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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How to Become a Data Analyst With No Experience?

Analytics Vidhya

Introduction Did you know that entry-level data analysts can earn up to $49,092 annually? In today’s data-driven world, data analytics careers span diverse industries, offering numerous pathways to enter this rapidly-growing field. Data is the primary decision-making tool for every organization. Analytics is an essential aspect of strategic planning across all sectors.

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Why We Need Software Monitoring

Adrian Bridgwater for Forbes

We have cloud observability specialists, we have application performance specialists & we have cloud-native security specialists - and then we have monitoring purists.

Big Data 246
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5 Highest-paid Languages to Learn This Year

KDnuggets

Level up your coding skills by learning the hottest programming languages to boost your career and fatten your paycheck!

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Patient Disease Risk Prediction with Lakehouse

databricks

All healthcare is personal. Individuals have different underlying genetic predispositions, environmental exposures, and past medical histories, not to mention different propensities to engage.

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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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MOSTLY AI: The most accurate synthetic data generator

Machine Learning Mastery

Last Updated on July 27, 2023 Sponsored Post By Georgios Loizou, AI & Machine Learning Product Owner at MOSTLY AI As businesses attempt to extract relevant insights and build powerful machine-learning models, the need for high-quality, accurate, synthetic data generators has grown. In our pursuit of excellence, we at MOSTLY AI, the […] The post MOSTLY AI: The most accurate synthetic data generator appeared first on MachineLearningMastery.com.

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TOP 10 insideBIGDATA Articles for June 2023

insideBIGDATA

In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels.

Big Data 411
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Unveiling Denoising Autoencoders

Analytics Vidhya

Introduction Denoising Autoencoders are neural network models that remove noise from corrupted or noisy data by learning to reconstruct the initial data from its noisy counterpart. We train the model to minimize the disparity between the original and reconstructed data. We can stack these autoencoders together to form deep networks, increasing their performance.

Analytics 361
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When Good Data Analytics Is Bad (And How To Stop It)

Adrian Bridgwater for Forbes

Although we might argue that every form of data analytics is basically good, the way we use the insights from AI information analytics actions can be both good & bad.

Analytics 246
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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!