Thu.Oct 27, 2022

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End-to-end Guide Using Trader Joe: A Decentralized Application

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Decentralized services, such as swapping, farming, pooling, lending, borrowing, and many more, are offered by decentralized applications (dapps). Each decentralized application offers its own features. For example, you may use Aave for decentralized lending and borrowing, or maybe you may use QuickSwap for decentralized […].

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“Stick Little Thermometers in your Data Journeys”

DataKitchen

. Question: What is something the data industry is missing? I think it’s observability-led DataOps. I’ve come to believe that we, as an industry, will not change how people build things they’ve already made. They’re already being Heroes and have pain, unhappiness, and poor results. The first step to enlightenment. The first step in solving that pain is to observe what’s happening with your data and analytics ‘estate’ and stick little thermometers at va

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Analysis of Restaurants in the United States

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction After working for a long time in the office, suddenly, we felt a storm brewing in our stomach, saying Hey! I need food. Then you just come out on the road and start searching for a nearby restaurant – it can be […]. The post Analysis of Restaurants in the United States appeared first on Analytics Vidhya.

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5 top ERP trends for 2022 — and their implications for IT leaders

CIO Business Intelligence

It wouldn’t be far-fetched to call ERP (enterprise resource planning) the brain of an organization’s IT infrastructure. After all, an ERP system streamlines, standardizes, and integrates a wide range of vital business processes across diverse business functions. Implementing an ERP solution ranks among the most capex-intensive projects any IT leader will undertake.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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A Gentle Introduction to RoBERTa

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Canva Introduction In 2018 Google AI released a self-supervised learning model […]. The post A Gentle Introduction to RoBERTa appeared first on Analytics Vidhya.

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How To Keep Your Data Security Knowledge Up To Date?

Smart Data Collective

The fast-paced world of cybersecurity waits for none, and even seasoned professionals can find that years have passed them by if they take a short hiatus and stop staying up to date. Given the nature of this sector, it’s often compared with statecraft, with the constantly evolving threat matrix making it essential to stay on top of developments, and regularly upskill in order to better respond to challenges.

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Machine Learning on the Edge

KDnuggets

Edge ML involves putting ML models on consumer devices where they can independently run inferences without an internet connection, in real-time, and at no cost.

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Why Terminal Emulation is One of Your Business’s Most Critical Tools

CIO Business Intelligence

By Milan Shetti, CEO Rocket Software According to PwC , almost two-thirds (60%) of Chief Information Officers (CIOs) see digital transformation as one of the most important drivers of growth this year. The cloud has been a major part of most organizations’ IT investments and digital transformation journeys. In fact, Gartner forecasts worldwide public cloud end-user spending will reach nearly $500 billion in 2022.

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Graphs: The natural way to understand data

KDnuggets

Graph Algorithms for Data Science is a hands-on guide to working with graph-based data in applications like machine learning, fraud detection, and business data analysis. Filled with fascinating and fun projects, demonstrating the ins-and-outs of graphs.

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DataKitchen DataOps Observability Technical Product Overview

DataKitchen

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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In Data We Trust: Data Centric AI

KDnuggets

Learn how data-centric AI can improve your model's overall performance.

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Governance & Regulation: Navigating AI in an Increasingly Data Conscious World

Dataiku

Most data-conscious people know that building an AI-enabled data operation inside one’s company is a challenge with many obstacles. From upskilling data workers and business analysts, to defining objectives and processes, and to extracting value, the task is enormous and complex. At the same time, achieving Everyday AI is not a destination that is reached all at once , but a journey dotted with the milestones of incremental, meaningful victories.

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ServiceNow buoyant about growth despite economic headwinds

CIO Business Intelligence

Workflow automation provider ServiceNow on Wednesday said it remained optimistic about growth for the rest of the year, despite the uncertain macroeconomic environment, hoping the situation will in fact boost demand for its offerings. “As you know, they (enterprises) are either not hiring, they’re laying people off, and they have to do more with less.

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Zero-Copy Architectures Are the Future

Data Virtualization

Reading Time: 3 minutes In a previous post, I discussed the unbridled copying of data by IT and the new design principle called data minimization, and I said that it was time for data-on-demand architectures. In fact, the post was a plea for developing. The post Zero-Copy Architectures Are the Future appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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What costume should I wear for this year’s Halloween party?

Decision Management Solutions

What is a DMN decision model? A decision model is a visual representation of a decision – the precise specifications of decision making logic. Decision Model & Notation (DMN) is a powerful language used to build decision models. While it can model any decision, more often than not DMN is used to model operational decisions. What costume should I wear for this year’s Halloween party?

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How Alation’s Data Team Uses the Modern Data Stack to Power Insights

Alation

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. But what does this mean from a practitioner perspective? To answer this question, I sat down with members of the Alation Data & Analytics team, Bindu, Adrian, and Idris.

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Using Apache Solr REST API in CDP Public Cloud

Cloudera

Abstract. The Apache Solr cluster is available in CDP Public Cloud , using the “Data exploration and analytics” data hub template. In this article we will investigate how to connect to the Solr REST API running in the Public Cloud, and highlight the performance impact of session cookie configurations when Apache Knox Gateway is used to proxy the traffic to Solr servers.

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How Newcomp Analytics partners with IBM to advance clients’ supply chain insights

IBM Big Data Hub

When Newcomp Analytics started working with chocolatier Lindt Canada more than 15 years ago to support their supply chain, Lindt had no full-time IT personnel for analytics. Lindt now has a team of 10, including a business intelligence (BI) manager and BI developer analysts. Yet Newcomp continues to be an essential and trusted partner, helping the company keep up with the high volume of analytics solutions it needs to address.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Real-Time Drift Drill Down Simplifies Ad Hoc Drift Analysis

DataRobot Blog

Data drift is a phenomenon that reflects natural changes in the world around us, such as shifts in consumer demand, economic fluctuation, or a force majeure. While changes in new data can threaten the performance of production models, data drift can be a strategic opportunity for your AI solution to quickly adapt to new patterns and maintain competitive advantage over not-so-quick competitors.

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Pairing Angles for Deltek with Spreadsheet Server Produces Next-Level Operational Reporting

Jet Global

Finance teams are increasingly being asked for timely, recurring operational reports to support day-to-day decision making. Predictably, that responsibility often comes with its own set of challenges. The most common challenges your finance team probably faces are: lengthy report creation time, existing tool complexity, and the inability to drill into transactional data.