Tue.Jun 07, 2022

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Explaining Writing Dockerfile with Examples

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Dockerfile This article contains about Dockerfile that we are commonly using in DevOps Engineering. DevOps is nothing but it is a set of practices that ensures systems development life cycle and provides continuous delivery with high software quality, that combines software […].

Software 362
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Remove Your Rose Tinted Glasses: Data Visualizations Designed to Mislead

datapine

Table of Contents. 1) Misleading Data Visualization Examples. 2) How to Avoid Misleading Visuals. 3) The Impact Of Bad Data Visualizations. Nobody likes feeling manipulated in any way, shape, or form. But while that may be the case, people are duped by data visualizations every day. From political issues to sports statistics and the recent report you received on the ROI of your company blog, the internet as well as informational reports are flooded with examples of misleading data visualization.

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A Complete Guide to Data Warehousing in 2022

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Data Warehousing In today’s fast-moving business environment, organizations are turning to cloud-based technologies for simple data collection, reporting, and analysis. This is where Data Warehousing comes in as a key component of business intelligence that enables businesses to improve their performance.

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10 key roles for AI success

CIO Business Intelligence

More companies in every industry are adopting artificial intelligence to transform business processes. But the success of their AI initiatives depends on more than just data and technology — it’s also about having the right people on board. An effective enterprise AI team is a diverse group that encompasses far more than a handful of data scientists and engineers.

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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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Using Google Cloud Services in Django Web Application

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Django The GCP Console is a tool that allows you to manage your Google Cloud Platform, and it addresses your Google Cloud projects and provides a web-based graphical UI. Popular services of Google Cloud: 1. Compute Engine 2. Cloud Storage 3. BigQuery […]. The post Using Google Cloud Services in Django Web Application appeared first on Analytics Vidhya.

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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems.

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Top Posts May 30 – June 5: 21 Cheat Sheets for Data Science Interviews

KDnuggets

Also: Decision Tree Algorithm, Explained; How to Become a Machine Learning Engineer; The Complete Collection of Data Science Books – Part 2; 15 Python Coding Interview Questions You Must Know For Data Science.

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End-to-End Guide for Hosting a NodeJS App

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on NodeJS App Importance of Software Deployment Software Deployment is the process of running the application on the server. It is the most critical aspect of the software development process. Deployment exposes the applications to the real world and delivers them to the […].

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The Future Is Hybrid Data, Embrace It

Cloudera

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB. In fact, the total amount of data is expected to nearly triple by 2025.

IT 111
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4+1 Architectural Views of an Electronic Voting System

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction 4+1 architectural views represent the overall architecture of the software incentive system. It describes the system from different viewpoints like developers, engineers, project managers or stakeholders. These 4 views are logical, process, development and physical. The +1 view represents the scenarios view, which […].

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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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Prevent Ransomware with New Capabilities from Anomali

CIO Business Intelligence

In these uncertain times, ransomware attacks are only increasing. Anomali is highly focused on helping CIOs and CISOs of enterprise businesses across the globe, along with our federal government and other government agencies. This is an infinite journey against the bad guys, and we must all work together with all hands-on deck. Today, organizations employ defense-in-depth strategies to stop attacks.

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3 Ways Understanding Bayes Theorem Will Improve Your Data Science

KDnuggets

Mastery of this intuitive statistical concept will advance your credibility as a decision-maker.

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Why Financial Services Firms Need to Modernize Core Data Platforms

CIO Business Intelligence

By David Andrzejek, Head of Financial Services, DataStax. In construction, arguably the most important component to get right is the foundation. It supports every aspect of a building — rooms, floors, furnishings, inhabitants. The foundation must support both the “dead load” (the weight of the building itself) and the “live load” (the weight of the furniture and inhabitants placed upon it), without buckling or cracking.

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Data Science is Overrated, Here’s Why

KDnuggets

Think twice before jumping on the data science bandwagon.

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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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Why Financial Services Firms are Championing Natural Language Processing

CIO Business Intelligence

In business, when a trend is forecast to grow by more than 3000% and generate cost savings of $7.3 billion globally over a five-year period, it gets noticed. Those numbers represent the projected growth of chatbot interactions among banking customers between 2019 to 2023 and the cost savings from 862 hours less of work by support personnel, according to research by Juniper Research.

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An Introductory Guide to Feature Stores | Domino Data Lab

Domino Data Lab

Features are input for machine learning models. The most efficient way to use them across an organization is in a feature store that automates the data transformations, stores them and makes them available for training and inference.

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CIO exit interview: Michael Ciavarella, swimming against the tide

CIO Business Intelligence

There aren’t many technology leaders who can say they helped their country chalk up their most successful Olympic Games performances to date. But that’s what former Swimming Australia general manager technology, Michael Ciavarella, and his team managed to do in the two years preceding the delayed Tokyo Olympics held in 2021. Ciavarella, who reached No.8 in the 2021 CIO50, had what many would consider the unenviable task of bringing a federated, not-for-profit organisation—founded in 1909—into th

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Crossing the Talent Chasm and the Talent Management Macro Trend

Dataiku

Andy Grove was a co-founder and CEO of Intel. The company’s market capitalization grew 50x under his leadership, from $4 billion to $197 billion. During the early days of the PC revolution, an east coast business reporter flew out to Santa Clara to figure out what Intel did and was having a hard time with it. They made machines smaller than your fingernail out of sand?

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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Drones, AI, cloud key to transformation at South Africa’s Stefanutti Stocks

CIO Business Intelligence

The construction industry has been historically slow to embrace emerging technologies, thereby unable to fully tap into new opportunities borne from innovative solutions. And the overarching consensus is that the industry needs to embrace technology to remain relevant. In doing so, the entire construction lifecycle will be transformed, from design and development all the way to the final handover of a completed project.

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Data Modeling 201 for the cloud: designing databases for data warehouses

erwin

This blog is based upon webcast which can be watched here. Designing databases for data warehouses or data marts is intrinsically much different than designing for traditional OLTP systems. In fact, many commonly accepted best practices for designing OLTP databases could well be considered worst practices for these purely analytical systems. Accordingly, data modelers must embrace some new tricks when designing data warehouses and data marts.

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Click, ship, done: How a 150-year-old logistics company is delighting its customers

CIO Business Intelligence

From delivering heavy cargo through drones to automating repetitive processes, Shantanu Roy, CIO for the Indian subcontinent at global logistics firm DB Schenker, is balancing innovation with business continuity. In a free-wheeling discussion with CIO India, he throws light on the efficient use of digital technologies in the company and the emerging trends in the logistics industry.

IT 86
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Lasting communication instead of talk and forget

CONTACT Software

Today I had a task to complete that I had long postponed due to other pressing matters. The team urged me to finally finish my part so that we could complete the implementation of a function in the software. The logic to be clarified was rather demanding and I struggled to get back into it. … Continue reading "Lasting communication instead of talk and forget".

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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Automated governance and trustworthy AI

IBM Big Data Hub

Artificial intelligence is being infused slowly but surely into all aspects of our lives, and it will be ubiquitous in everyday life sooner than we might imagine. Governments and regulatory bodies around the world are working to establish safety standards. In the U.S., the Consumer Finance Protection Bureau (CFPB) recently outlined options to prevent algorithmic bias in home valuations for mortgage lenders.

Metrics 52
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Closer to AGI?

O'Reilly on Data

DeepMind’s new model, Gato, has sparked a debate on whether artificial general intelligence (AGI) is nearer–almost at hand–just a matter of scale. Gato is a model that can solve multiple unrelated problems: it can play a large number of different games, label images, chat, operate a robot, and more. Not so many years ago, one problem with AI was that AI systems were only good at one thing.

Modeling 363
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Simplifying Security for the Hybrid Working World

CIO Business Intelligence

Cybersecurity is at an inflection point. The move to remote working and the endpoint vulnerabilities that go with it are a permanent part of the new normal. There are multiple factors causing organizations to rethink their security strategies. For example, ransomware is now a successful business model for a new breed of smart, deep-pocketed bad actors.

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How Fifth Third Bank Democratizes Data Access via a Data Mesh with Alation and Snowflake

Alation

Today, moving money between accounts takes a minute of attention and a few swipes of the finger. iBanking has become so easy and advanced that we take it for granted. Yet we’re still in the very early days of digital banking — and what it can do. Fifth Third is helping redefine that future with a commitment to better understanding and serving their customers.

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.