Thu.Sep 14, 2023

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Fibonacci Series in Python | Code, Algorithm & More

Analytics Vidhya

Introduction The Fibonacci series in python is a mathematical sequence that starts with 0 and 1, with each subsequent number being the sum of the two preceding ones. In Python, generating the Fibonacci series is not only a classic programming exercise but also a great way to explore recursion and iterative solutions. What is the […] The post Fibonacci Series in Python | Code, Algorithm & More appeared first on Analytics Vidhya.

Analytics 310
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What is a data engineer? An analytics role in high demand

CIO Business Intelligence

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers. Their primary responsibility is to make data available, accessible, and secure to stakeholders.

Analytics 126
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Unveiling the Future of AI with GPT-4 and Explainable AI (XAI)

Analytics Vidhya

Introduction In the ever-evolving Artificial Intelligence (AI) world, GPT-4 is a marvel of human-like text generation. It’s like having a chat with a machine that speaks your language. But here’s the twist: AI needs more than fancy words. We must understand how it thinks and decide if we can trust it. That’s where Explainable AI […] The post Unveiling the Future of AI with GPT-4 and Explainable AI (XAI) appeared first on Analytics Vidhya.

Analytics 287
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Microsoft, Oracle deliver direct access to Oracle database services on Azure

CIO Business Intelligence

Looking ahead to a future in which customers will move their entire data center workloads to the cloud, Microsoft and Oracle on Thursday expanded their partnership. Oracle is collocating its Oracle database hardware (including Oracle Exadata) and software in Microsoft Azure data centers, giving customers direct access to Oracle database services running on Oracle Cloud Infrastructure (OCI) via Azure.

Modeling 106
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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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Data Science vs Software Engineer: Which is a Better Career?

Analytics Vidhya

Introduction In today’s tech-driven world, two professions have been making significant strides: Data Science and Software Engineering. While both play pivotal technological roles, they have distinct focuses, goals, and skill sets. This article will delve into the nuances that differentiate Data Science vs Software Engineering, shedding light on their fundamental differences, similarities, challenges, and future […] The post Data Science vs Software Engineer: Which is a Better Career

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The 5 Best AI Tools For Maximizing Productivity

KDnuggets

KDnuggets reviews a diverse set of 5 AI tools to help maximize your productivity. Have a look and see what our recommendations include.

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How an architecture-led transformation puts the customer first

CIO Business Intelligence

At Discover® Financial Services, our customers and their trust are key drivers of our technological decisions. With this in mind, we embarked on a digital transformation that enables us to better meet customer needs now and in the future by adopting a lightweight, microservices architecture. A key aspect of our digital transformation was to lead with design.

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Optimize checkpointing in your Amazon Managed Service for Apache Flink applications with buffer debloating and unaligned checkpoints – Part 2

AWS Big Data

This post is a continuation of a two-part series. In the first part , we delved into Apache Flink ‘s internal mechanisms for checkpointing, in-flight data buffering, and handling backpressure. We covered these concepts in order to understand how buffer debloating and unaligned checkpoints allow us to enhance performance for specific conditions in Apache Flink applications.

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Inside Nasdaq’s AI-fueled pivot to SaaS provider

CIO Business Intelligence

No doubt, Nasdaq is bullish on generative AI. Brad Peterson, the company’s CIO and CTO, has been implementing AI for more than a decade and is all in on the promised innovation afforded by generative AI. “We are committed to enhancing the liquidity, transparency, and integrity of the world’s economy and AI will continue to support our ability to deliver on this mission,” Peterson said in a recent interview with CIO.com in Boston.

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Pursue A Master’s In Data Science With The 3rd Best Online Program

KDnuggets

Flexible schedules designed for working professionals. Enrolling now for October 2023 and March 2024.

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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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CIO Brett Lansing’s five-point approach to building followership

CIO Business Intelligence

Your strategy’s only as strong as it is implemented well. And you can implement it well only to the extent that your followership is strong. Your followership is the most potent circle of your professional network, and it, perhaps more than anything else, empowers you to influence and implement, with or without authority. Brett Lansing, CIO of multibillion-dollar home healthcare provider AccentCare, has written the playbook on building followership.

ROI 83
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Linear Regression from Scratch with NumPy

KDnuggets

Mastering the Basics of Linear Regression and Fundamentals of Gradient Descent and Loss Minimization.

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Optimize checkpointing in your Amazon Managed Service for Apache Flink applications with buffer debloating and unaligned checkpoints – Part 1

AWS Big Data

This post is the first of a two-part series regarding checkpointing mechanisms and in-flight data buffering. In this first part, we explain some of the fundamental Apache Flink internals and cover the buffer debloating feature. In the second part , we focus on unaligned checkpoints. Apache Flink is an open-source distributed engine for stateful processing over unbounded datasets (streams) and bounded datasets (batches).

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From Simple to Sophisticated: 4 Levels of LLM Customization With Dataiku

Dataiku

The versatility of large language models (or LLMs for short) gives them the potential to revolutionize the way you do business, but to fully capitalize on their value you need to know how to adapt generic LLMs to your domain & use case, as well as effectively combine them with other purpose-built models and tools. In this blog, we’ll cover some important considerations and provide a framework with four levels of increasing complexity for customizing an LLM’s behavior.

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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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VMware Cross-Cloud Managed Services Unleash Partner Capabilities to Help Customers Become Cloud Smart

CIO Business Intelligence

In a rapidly evolving business landscape, where innovation and cost efficiency are paramount, the launch of VMware Cross-Cloud managed services at VMware Explore 2023 Las Vegas is a pivotal moment. Announced in April at VMware’s Partner Leadership Summit, VMware Cross-Cloud managed services redefine the way organizations address the complexities of multi-cloud, offering unparalleled flexibility, scalability and efficiency, all with the invaluable support of specialized VMware managed services pa

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Multicloud connectivity for regulated industry workloads on IBM Cloud

IBM Big Data Hub

Figure 1: IBM Cloud connected to other clouds and enterprise networks. As enterprises modernize and migrate workloads to IBM Cloud, they often run into requirements that certain components of their application workloads to run on other cloud service provider networks. These requirements create a technical challenge for enterprises—especially in regulated industries (e.g., insurance, banking, healthcare, etc.)—to establish secure and reliable connectivity between the multicloud applic

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The big speed bump on the road to GenAI

CIO Business Intelligence

It seems that every event I moderate, regardless of the topic, will devolve into a discussion of generative AI and the excitement of intelligent systems. The enthusiasm for this innovative technology is irrepressible. Ideas fly around, grandiose plans are discussed, and everyone can’t wait to get going. However, as the discussion moves back to more thoughtful interaction, it soon becomes clear that the “Highway to AI” has one very large speed bump in the road.

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Football and Data Models: How Teams Collaborate for a Common Goal

erwin

How uniting a football team around a common goal is like uniting IT and business users collaborating over a data model Football is back, baby! As the crisp fall air starts to roll into all our lives with the aroma of pumpkin spice wafting towards us from a nearby Starbucks and hoodies coming out of the back of our closets, excitement is in the air if you are anything like me.

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Solving the Biggest Tech Challenges in RevOps

In this eBook, we’ll run through real-world examples that show how RevOps teams can benefit from modern solutions for the access, management, and activation of their GTM data. Whether you need to improve lead response times, boost adoption of core tools, improve lead qualification, or target and automate your GTM motions, you’ll find examples of how revenue teams are solving some of the toughest problems in modern business.

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Hypothesis Testing and A/B Testing

KDnuggets

The pillars of data-driven decisions.

Testing 103