July, 2023

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A Guide to Data Science Project Management Methodologies

KDnuggets

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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6 business execs you’ll meet in hell — and how to deal with them

CIO Business Intelligence

Everyone, at some point in their career, has endured a bad boss or bad business colleague. Someone further up the chain or a lateral colleague who lacks basic interpersonal skills, demands the impossible, flies off the handle at the slightest provocation, or throws you under the bus the moment a project goes south. Aside from causing personal angst, executives run amok can also wreak lasting damage to the organizations they work for by driving away talent and squandering business opportunities.

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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

Analytics 386
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The Inner Workings of LLMs: A Deep Dive into Language Model Architecture

Analytics Vidhya

Introduction Language Models based on Large- scale pre- training LLMs have revolutionized the field of natural language processing. Thus, enabling machines to comprehend and generate human-like text with remarkable accuracy. To truly appreciate the capabilities of LLMs, it is essential to take a deep dive into their inner workings and understand the intricacies of their […] The post The Inner Workings of LLMs: A Deep Dive into Language Model Architecture appeared first on Analytics Vidhya.

Modeling 270
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Activating Intent Data for Sales and Marketing

Sales and marketing leaders have reached a tipping point when it comes to using intent data — and they’re not looking back. More than half of all B2B marketers are already using intent data to increase sales, and Gartner predicts this figure will grow to 70 percent. The reason is clear: intent can provide you with massive amounts of data that reveal sales opportunities earlier than ever before.

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Real-Real-World Programming with ChatGPT

O'Reilly on Data

If you’re reading this, chances are you’ve played around with using AI tools like ChatGPT or GitHub Copilot to write code for you. Or even if you haven’t yet, then you’ve at least heard about these tools in your newsfeed over the past year. So far I’ve read a gazillion blog posts about people’s experiences with these AI coding assistance tools. These posts often recount someone trying ChatGPT or Copilot for the first time with a few simple prompts, seeing how it does for some small self-containe

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Delivering Low-latency Analytics Products for Business Success

Rocket-Powered Data Science

On-prem data sources have the powerful advantage (for design, development, and deployment of enterprise analytics applications) of low-latency data delivery. Low-latency data delivery is a system level requirement that is tied to a critical business user requirement: low-latency analytics product delivery ! You cannot have the second without the first.

Analytics 198

More Trending

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Digital Transformation Delivers Business Benefits

CIO Business Intelligence

Virtually every organization worth its salt is involved in digital transformation, and those efforts are starting to pay dividends, according to F5’s 2023 State of Application Strategy Report. When respondents to F5’s survey of more than 1,000 IT leaders were asked to list the benefits of digital transformation, IT operational efficiency topped the list (cited by 66% of respondents), followed by business operational efficiency (49%), better alignment of IT with business outcomes (47%), employee

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Extract time series from satellite weather data with AWS Lambda

AWS Big Data

Extracting time series on given geographical coordinates from satellite or Numerical Weather Prediction data can be challenging because of the volume of data and of its multidimensional nature (time, latitude, longitude, height, multiple parameters). This type of processing can be found in weather and climate research, but also in applications like photovoltaic and wind power.

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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.

Modeling 371
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Fearing the Wrong Thing

O'Reilly on Data

There’s a lot of angst about software developers “losing their jobs” to AI, being replaced by a more intelligent version of ChatGPT, GitHub’s Copilot, Google’s Codey, or something similar. Matt Welsh has been talking and writing about the end of programming as such. He’s asking whether large language models eliminate programming as we know it, and he’s excited that the answer is “yes”: eventually, if not in the immediate future.

Testing 252
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Revolutionize QA: GAPs AI-Driven Accelerators for Smarter, Faster Testing

GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.

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Three Emerging Analytics Products Derived from Value-driven Data Innovation and Insights Discovery in the Enterprise

Rocket-Powered Data Science

I recently saw an informal online survey that asked users which types of data (tabular, text, images, or “other”) are being used in their organization’s analytics applications. This was not a scientific or statistically robust survey, so the results are not necessarily reliable, but they are interesting and provocative. The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data.

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The Syntax, Semantics, and Pragmatics Gap in Data Quality Validation Testing 

DataKitchen

The Syntax, Semantics, and Pragmatics Gap in Data Quality Validate Testing Data Teams often have too many things on their ‘to-do’ list. Customers are asking for new data, people need questions answered, and the tech stack is barely running – data engineers don’t have time to create tests. They have a backlog full of new customer features or data requests, and they go to work every day knowing that they won’t and can’t meet customer expectations.

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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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4 tips to improve employee experiences while maintaining security and governance

CIO Business Intelligence

Improving employee productivity and collaboration is a top business objective, according to the 2023 Foundry Digital Business Study. But delivering these productive employee experiences can be challenging, especially with an increasingly distributed workforce. As more individuals use browser-based apps to get their work done, IT leaders need to provide seamless access to corporate apps and tools while minimizing security risks.

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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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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.

Modeling 364
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Large Language Models and Data Management

Ontotext

I did some research because I wanted to create a basic framework on the intersection between large language models (LLM) and data management. I will start by saying that I believe LLM holds great promise. But there are also a host of other issues (and cautions) to take into consideration. The technology is very new and not well understood. Most applications are still exploratory.

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Top 9 Considerations for Enterprise AI

Rocket-Powered Data Science

Artificial intelligence (AI) is top of mind for executives, business leaders, investors, and most workplace employees everywhere. The impacts are expected to be large, deep, and wide across the enterprise, to have both short-term and long-term effects, to have significant potential to be a force both for good and for bad, and to be a continuing concern for all conscientious workers.

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Data Journey First DataOps

DataKitchen

Data Journey First DataOps Putting Problems in Your Data Estate at the Forefront Welcome to the high-octane world of DataOps, a powerhouse that turbocharges data analytics development and management. This innovative approach merges the agility of Agile Development, the stability of DevOps, and the meticulousness of Statistical Process Controls, orchestrating a dynamic, enriched, and nimble data ecosystem that is truly remarkable.

Testing 130
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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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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 118
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3 tough decisions for IT leaders to achieve a successful digital transformation

CIO Business Intelligence

The digital transformation journey for any enterprise is protracted and complex. Technology leaders often underestimate the complications associated with it. For such initiatives to conclude successfully, enterprise technology decision makers must overcome inertia, build momentum, and bring about changes across their large organizations. To bring about enterprise-wide changes, CIOs at times need to take tough decisions that may not go down well with employees.

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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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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.

Modeling 361
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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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OpenAI Provides Access For GPT-4

Analytics Vidhya

Today, GPT-4, OpenAI’s cutting-edge text-generating model, was made generally available, according to an excited release from the company. Through its API, the business is providing developers with access to this ground-breaking technology. Access to GPT-4 will be opened up to new developers by the end of the month, but existing OpenAI API developers with a […] The post OpenAI Provides Access For GPT-4 appeared first on Analytics Vidhya.

Modeling 357
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How to Become a Power BI Developer?

Analytics Vidhya

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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Artificial Intelligence vs. Human Intelligence: Top 7 Differences

Analytics Vidhya

Introduction Artificial intelligence has come a long way from the fictional AI character JARVIS to real-life ChatGPT. However, human intelligence is an attribute that supports individuals in learning, comprehending, and coming up with innovative solutions to challenges, versus artificial intelligence, which imitates humans based on provided data. Since AI has become so prevalent today, a […] The post Artificial Intelligence vs.

Analytics 334
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Jobs That AI Can’t Replace

Analytics Vidhya

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.

Risk 328
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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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Generative AI: Where Is the World Heading Towards?

Analytics Vidhya

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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Building LLM-Powered Applications with LangChain

Analytics Vidhya

Introduction Welcome to the future of language processing! In a world where language is the bridge connecting people and technology, advancements in Natural Language Processing (NLP) have opened up incredible opportunities. Among these advancements is the revolutionary Language Model, known as the LLM (Large Language Model), which has completely transformed the way we interact with […] The post Building LLM-Powered Applications with LangChain appeared first on Analytics Vidhya.

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Introducing PandasAI: A GenAI-powered Data Analysis Library

Analytics Vidhya

Introduction There have been recent surges and breakthroughs in the field of Generative artificial Intelligence causing disruptions in the data field. Companies are trying to see how to make the most of these innovations, such as ChatGPT. This will help any business take a competitive advantage. A new cutting-edge innovation is introducing a GenAI-powered data analysis […] The post Introducing PandasAI: A GenAI-powered Data Analysis Library appeared first on Analytics Vidhya.

Analytics 316
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OpenAI and Meta Sued for Copyright Infringement

Analytics Vidhya

In a stunning legal development, renowned comedian Sarah Silverman and acclaimed authors Christopher Golden and Richard Kadrey have filed lawsuits against OpenAI and Meta. These lawsuits, alleging copyright infringement, have thrust the use of AI models into the spotlight. The authors claim that OpenAI and Meta trained their ChatGPT and LLaMA models, respectively, on illicitly-acquired […] The post OpenAI and Meta Sued for Copyright Infringement appeared first on Analytics Vidhya.

Modeling 306
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Predicting the Future of Sales: How AI and Automation Will Revolutionize Strategies

In this exploration, we're diving into predictions about the future of sales. We're talking about a complete shake-up powered by automation and artificial intelligence (AI). These aren't just fancy tools — they're real game-changers. Automation and AI are here to redefine every interaction, making them smarter, faster, and more meaningful. From personalized customer journeys to streamlined sales processes, the goal is to make every moment count, enhancing both efficiency and connection.