Flipboard

JULY 3, 2023

While short-sighted companies may look to AI to cut jobs and costs, smart companies will use AI to increase productivity and agility. Just as they did with open source and cloud.

AI 149

AI AI Computer Science Computer Science 149

insideBIGDATA

JULY 2, 2023

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?

Artificial Intelligence 472

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Analytics Vidhya

JULY 2, 2023

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

Python 386

Python Analytics Analytics Data Analysis 386

Data Science Dojo

JULY 2, 2023

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.

Natural Language Processing 369

Natural Language Processing Deep Learning Deep Learning Predictive Analytics 369

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.

Analytics

KDnuggets

JULY 7, 2023

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.

Machine Learning 303

Machine Learning Machine Learning 303

insideBIGDATA

JULY 7, 2023

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.

Internet of Things 418

Internet of Things Big Data Big Data Analytics 418

databricks

JULY 6, 2023

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 263

Analytics Analytics AI AI 263

KDnuggets

JULY 1, 2023

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 294

Analytics Analytics Data Engineering Data Engineer 294

insideBIGDATA

JULY 7, 2023

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

Big Data Big Data Cloud Data Database 411

Analytics Vidhya

JULY 4, 2023

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

Analytics Analytics AI AI 364

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.

AI

Adrian Bridgwater for Forbes

JULY 6, 2023

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

Database Big Data Big Data 254

KDnuggets

JULY 5, 2023

Predicting Movie Status Based on Review Sentiment.

Data Science 285

Data Science Analytics Analytics Machine Learning 285

insideBIGDATA

JULY 6, 2023

Hello, and welcome to the “Power-to-the-Data Report” podcast where we cover timely topics of the day from throughout the Big Data ecosystem. I am your host Daniel Gutierrez from insideBIGDATA where I serve as Editor-in-Chief & Resident Data Scientist. Today’s topic is "AI Washing," an aspect of today's significant hype cycle surrounding artificial intelligence.

Artificial Intelligence 394

Artificial Intelligence Artificial Intelligence Data Scientist Big Data 394

Analytics Vidhya

JULY 7, 2023

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.

Data Analyst 361

Data Analyst Analytics Analytics Data Analysis 361

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

AI

databricks

JULY 5, 2023

Get started and build a credit data platform for your business by visiting the demo at dbdemos.ai. Introduction According to the World Bank's.

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KDnuggets

JULY 6, 2023

Techniques to address imbalanced data in the context of classification, while keeping the data distribution in mind.

Machine Learning 284

Machine Learning Machine Learning 284

insideBIGDATA

JULY 1, 2023

Responsible AI Institute (RAI Institute), a leading non-profit building AI Assessments and a Certification program dedicated to converting responsible AI principles into practice, announced the launch of the first Responsible AI Consortium in a series of consortia comprised of leading corporations, technology providers and experts from global universities.

AI 390

AI AI Big Data Big Data 390

Analytics Vidhya

JULY 4, 2023

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

Analytics Analytics Machine Learning Machine Learning 361

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.

AI

Adrian Bridgwater for Forbes

JULY 3, 2023

Database automation is a message set that we’ve heard Oracle expand and iterate upon in this era of autonomy. Driving data on a stick-shift transmission is getting old.

Database 244

Database Big Data Big Data 244

KDnuggets

JULY 6, 2023

Introducing a new tool that offers speed, efficiency, cross-platform compatibility, user-friendliness, and security for deep learning applications.

Deep Learning 280

Deep Learning Deep Learning Machine Learning Machine Learning 280

insideBIGDATA

JULY 5, 2023

Multi-layer Perceptrons (MLPs) are the most fundamental type of neural network, so they play an important role in many machine learning systems and are the most theoretically studied type of neural network. A new paper from researchers at ETH Zurich pushes the limits of pure MLPs, and shows that scaling them up allows much better performance than expected from MLPs in the past.

Deep Learning 378

Deep Learning Deep Learning Machine Learning Machine Learning 378

Analytics Vidhya

JULY 1, 2023

Among numerous available exciting career choices, Power BI developer is one of the intriguing career options among professionals. With data analysis, visualization, interpretation, and business intelligence skills, setting your foot and heading over others requires consistency, practice, and an innovative mindset. Multiple career growth options are available in the field with reasonably accurate salaries to […] The post How to Become a Power BI Developer?

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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?

databricks

JULY 5, 2023

This blog authored post by Jaison Dominic, Senior Manager, Information Systems at Amgen, and Lakhan Prajapati, Director of Architecture and Engineering at ZS.

Data Governance 238

Data Governance 238

KDnuggets

JULY 5, 2023

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

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insideBIGDATA

JULY 5, 2023

Generative AI is quickly becoming a top priority for any company’s digital transformation strategy. It is hijacking conversations everywhere, from the boardroom to the dining room – we’re even seeing accelerated M&A (ie. MosaicML) to help businesses build their own foundation models and generative AI tools. As business leaders assess how to be bullish on generative AI while mitigating risks such as bias, Domino Data Lab has announced findings from its second annual REVelate survey which exp

Data Science 368

Data Science AI AI Big Data 368

Analytics Vidhya

JULY 1, 2023

Introduction Whether you are a cybernaut or not, the chances are that you have heard the ‘jobs AI can’t replace’’ debate. About 85 million jobs globally are grappling with the risk of becoming obsolete at the hands of automation by 2025. Artificial intelligence is making such headlines by serving a new invention every now and […] The post Jobs That AI Can’t Replace appeared first on Analytics Vidhya.

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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

Adrian Bridgwater for Forbes

JULY 5, 2023

Because we run cloud in such a virtualized and abstracted space, the quest for system observability and monitoring is always on.

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KDnuggets

JULY 7, 2023

Want to keep up with the hype around ChatGPT? Want to be ahead of the game? Continue reading this blog to learn about 5 FREE courses on ChatGPT.

Artificial Intelligence 278

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insideBIGDATA

JULY 4, 2023

In this article, Ashutosh Kumar discusses the emergence of modern data solutions that have led to the development of ELT and ETL with unique features and advantages. ELT is more popular due to its ability to handle large and unstructured datasets like in data lakes. Traditional ETL has evolved into cloud-based ETL which allows rapid batch processing, scalability, savings, and simplicity while maintaining security, governance, and compliance.

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Analytics Vidhya

JULY 4, 2023

Introduction In the ever-evolving world of technology, we are witnessing a rapid surge in the development and deployment of AI products. Over the past six months, established tech giants and ambitious startups have made significant strides in artificial intelligence. While companies like Microsoft and OpenAI have garnered much attention, it’s essential to recognize that they […] The post Generative AI: Where Is the World Heading Towards?

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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!