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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Trending Sources

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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 357
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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 217
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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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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

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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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The Ten Standard Tools To Develop Data Pipelines In Microsoft Azure

DataKitchen

The Ten Standard Tools To Develop Data Pipelines In Microsoft Azure. While working in Azure with our customers, we have noticed several standard Azure tools people use to develop data pipelines and ETL or ELT processes. We counted ten ‘standard’ ways to transform and set up batch data pipelines in Microsoft Azure. Is it overkill? Don’t they all do the same thing?

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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 361
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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 250
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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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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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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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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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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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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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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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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.

Modeling 106
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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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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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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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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 314
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Backtesting index rebalancing arbitrage with Amazon EMR and Apache Iceberg

AWS Big Data

Backtesting is a process used in quantitative finance to evaluate trading strategies using historical data. This helps traders determine the potential profitability of a strategy and identify any risks associated with it, enabling them to optimize it for better performance. Index rebalancing arbitrage takes advantage of short-term price discrepancies resulting from ETF managers’ efforts to minimize index tracking error.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Solving the Data Daze – Analytics at the Speed of Business Questions

Rocket-Powered Data Science

Data is more than just another digital asset of the modern enterprise. It is an essential asset. And it is now a fundamental feature of any successful organization. Beyond the early days of data collection, where data was acquired primarily to measure what had happened (descriptive) or why something is happening (diagnostic), data collection now drives predictive models (forecasting the future) and prescriptive models (optimizing for “a better future”).

Analytics 167
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Introduction to Statistical Learning, Python Edition: Free Book

KDnuggets

The highly anticipated Python edition of Introduction to Statistical Learning is here. And you can read it for free! Here’s everything you need to know about the book.

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Key skills tech leaders need to secure a board seat

CIO Business Intelligence

Rona Bunn is CIO for the National Association of Corporate Directors (NACD), where she facilitates digital orchestration and leads information technology, data, and digital experience. A two-time Technology All-Star award recipient from Women of Color in STEM, Bunn previously served as CIO at the US Department of Commerce, International Trade Administration.

Risk 116
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Power of ETL: Transforming Business Decision Making with Data Insights

Smart Data Collective

ETL (Extract, Transform, Load) is a crucial process in the world of data analytics and business intelligence. In this article, we will explore the significance of ETL and how it plays a vital role in enabling effective decision making within businesses. By understanding the power of ETL, organisations can harness the potential of their data and gain valuable insights that drive informed choices.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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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 310
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How AWS helped Altron Group accelerate their vision for optimized customer engagement

AWS Big Data

This is a guest post co-authored by Jacques Steyn, Senior Manager Professional Services at Altron Group. Altron is a pioneer of providing data-driven solutions for their customers by combining technical expertise with in-depth customer understanding to provide highly differentiated technology solutions. Alongside their partner AWS, they participated in AWS Data-Driven Everything (D2E) workshops and a bespoke AWS Immersion Day workshop that catered to their needs to improve their engagement with

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Delivering Low-latency Analytics Products for Business Success

Rocket-Powered Data Science

I recently saw an informal online survey that asked users what 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.

Analytics 166
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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 101
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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.