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 348
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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 245
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The Definitive Entity Resolution Buyer’s Guide

Are you thinking of adding enhanced data matching and relationship detection to your product or service? Do you need to know more about what to look for when assessing your options? Our Entity Resolution Buyer’s Guide gives you step-by-step details about everything you should consider when evaluating entity resolution technologies. We discuss use cases, technology, and deployment options, top ten evaluation criteria and more.

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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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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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5 key mistakes IT leaders make at board meetings

CIO Business Intelligence

It’s not uncommon for CIOs, CISOs, and sometimes their direct reports to be called on to participate in board meetings or to present IT strategies and plans to their boards of directors. If you don’t join board meetings often, preparation is paramount, starting with learning about the directors’ backgrounds and reviewing minutes from previous meetings.

IT 116
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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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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 331
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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.

Software 250
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How Intent Data Helps Marketers Convert A-List Accounts

One of the biggest challenges for any B2B marketer is understanding your prospects’ next move — who is most likely to buy and when. Without these insights, marketing campaigns can feel more like guesswork, with high investment and little return. We’re here to tell you there’s a better way. By tracking buyers’ digital footprints and online activity, such as website visits, product reviews, and spikes in content consumption, you can engage prospects with a message that really resonates.

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Laminar Adds Support for SaaS and BigQuery Data Protection

Laminar Security

Laminar Launches Two New Solutions to Become First Full Data Security Platform for Multi-Cloud and SaaS Environments In today’s data-driven world, cloud computing has become the backbone of innovation and growth for enterprises across all industries. With an overwhelming majority of organizations utilizing cloud services and applications, data security has emerged as a critical concern by more than 93% of organizations.

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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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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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Volunteer Spotlight: Big Day in the UK!

Cloudera

It was a busy day for Cloudera Cares in the UK on June 21, 2023. Not only did we deliver the EMEA Evolve Flagship event with a first of its kind, volunteer component, we also flew the Cloudera flag at a Cloudera Cares event with Mission Motorsport. Hear from Clouderan, Paul Wooding about his day volunteering at two of Cloudera’s impactful UK-based events.

IT 86
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The Essential Guide to Analytic Applications

Embedding dashboards, reports and analytics in your application presents unique opportunities and poses unique challenges. We interviewed 16 experts across business intelligence, UI/UX, security and more to find out what it takes to build an application with analytics at its core. No matter where you are in your analytics journey, you will learn about emerging trends and gather best practices from product experts.

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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 319
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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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Laminar Broadens Data Security for Multi-Cloud

Laminar Security

Launches Full Data Security Platform with Enhanced DAG and DDR Capabilities Laminar has unveiled groundbreaking advancements to its agile data security platform for multi-cloud. The introduction of new data access governance (DAG) and data detection and response (DDR) functionalities positions Laminar as the first solution on the market to offer comprehensive identification, protection, detection, and response capabilities for multi-cloud and SaaS data security.

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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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Why Modern Data Challenges Require a New Approach to Governance

A healthy data-driven culture minimizes knowledge debt while maximizing analytics productivity. Agile Data Governance is the process of creating and improving data assets by iteratively capturing knowledge as data producers and consumers work together so that everyone can benefit. It adapts the deeply proven best practices of Agile and Open software development to data and analytics.

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Making intelligent automation work at scale

CIO Business Intelligence

Organizations can reap a range of benefits from deploying automation tools such as robotic process automation (RPA). But adding artificial intelligence (AI) to the mix is where an even bigger payoff can come. “Organizations have been combining automation and AI technologies for a few years now to improve their business processes,” says Maureen Fleming, program vice president at research firm IDC.

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Revolutionizing Procurement: The Power of AI in Vendor Management Systems

Smart Data Collective

Vendor Management Systems (VMS) have become an indispensable tool for streamlining procurement and fostering strong vendor relationships. With the advent of the Fourth Industrial Revolution, where the lines between physical, digital, and biological spheres are increasingly blurred, a new transformational player has emerged on the VMS scene: Artificial Intelligence (AI).

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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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Orca Security’s journey to a petabyte-scale data lake with Apache Iceberg and AWS Analytics

AWS Big Data

This post is co-written with Eliad Gat and Oded Lifshiz from Orca Security. With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. One key component that plays a central role in modern data architectures is the data lake, which allows organizations to store and analyze large amounts of data in a cost-effective manner and run advanced analytics and machine learning (ML) at scale.

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Value-Driven AI: Applying Lessons Learned from Predictive AI to Generative

Speaker: Data Robot

Enterprise AI maturity has evolved dramatically over the past 5 years. Most enterprises have now experienced their first successes with predictive AI, but the pace and scale of impact have too often been underwhelming. Now generative AI has emerged and captivated the minds and imaginations of leaders and innovators everywhere. Join our DataRobot experts to reflect on lessons learned from helping hundreds of enterprises grow their AI maturity over the past 5 years.

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Black Hat USA 2023: The Ultimate Survival Guide

Laminar Security

Can you believe it? Black Hat USA is back for its 26th year, bringing together hackers, security researchers, and cybersecurity enthusiasts under the neon glow of the Vegas lights with a mischievous twinkle in their eyes. This crew gathers each year to attend a conference like no other, as it is THE spot for hackers, security researchers and industry experts to come together to network and learn new ways of staying ahead of threats in today’s ever-evolving threat landscape.

Risk 92
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Unraveling the Power of Chain-of-Thought Prompting in Large Language Models

KDnuggets

This article delves into the concept of Chain-of-Thought (CoT) prompting, a technique that enhances the reasoning capabilities of large language models (LLMs). It discusses the principles behind CoT prompting, its application, and its impact on the performance of LLMs.

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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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eCommerce Brands Use Big Data for Logistics and Fulfillment Warehouses Protection

Smart Data Collective

Big data has driven major changes in the e-commerce sector in recent years. E-commerce brands spent over $16 billion on analytics in 2022 and are projected to spend over $38 billion by 2028. One of the biggest benefits of data analytics is that it can help e-commerce brands optimize their logistics and fulfillment processes. Keep reading to learn more.

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From Complexity to Clarity: Strategies for Effective Compliance and Security Measures

Speaker: Erika R. Bales, Esq.

When we talk about “compliance and security," most companies want to ensure that steps are being taken to protect what they value most – people, data, real or personal property, intellectual property, digital assets, or any other number of other things - and it’s more important than ever that safeguards are in place. Let’s step back and focus on the idea that no matter how complicated the compliance and security regime, it should be able to be distilled down to a checklist.

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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 315
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For a short time only: Time-based restrictions for enhanced cloud security

IBM Big Data Hub

If you read some of my earlier blog posts , you know that I automated the setup (onboarding) for workshops and hackathons. Thus far, running my Terraform scripts to deploy resources and privileges meant allowing access to them. Thanks to a (relatively) new IBM Cloud security feature called time-based restrictions , I can decouple the deployment process from when access is possible.

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Implement tag-based access control for your data lake and Amazon Redshift data sharing with AWS Lake Formation

AWS Big Data

Data-driven organizations treat data as an asset and use it across different lines of business (LOBs) to drive timely insights and better business decisions. Many organizations have a distributed tools and infrastructure across various business units. This leads to having data across many instances of data warehouses and data lakes using a modern data architecture in separate AWS accounts.

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8 Programming Languages For Data Science to Learn in 2023

KDnuggets

Are you interested in Data Science? This blog will help you kickstart or advance your data science career. You'll learn about the most popular programming languages data scientists use to clean, analyze, visualize, and model data.

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From Hadoop to Data Lakehouse

Getting off of Hadoop is a critical objective for organizations, with data executives well aware of the significant benefits of doing so. The problem is, there are few options available that minimize the risk to the business during the migration process and that’s one of the reasons why many organizations are still using Hadoop today. By migrating to the data lakehouse, you can get immediate benefits from day one using Dremio’s phased migration approach.