January, 2023

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The Anatomy of a Data Scientist – Know What Goes Behind the Scene

DataFloq

A quick look around the internet shows that people are donning a lot of different hats.

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CIOs sharpen tech strategies to support hybrid work

CIO

A significant number of organizations are operating in a hybrid model — and expect to continue with that hybrid environment for the foreseeable future.

Strategy 279
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How is TinyML Used for Embedding Smaller Systems?

Analytics Vidhya

Introduction There are many emerging trends in the tech world, and Machine Learning is one of them. Machine Learning is a subset of Artificial Intelligence where a computer learns from data and analyses its patterns to predict an outcome.

Analytics 232
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Prevedere Provides Predictive Insights with Analytics and Planning

David Menninger's Analyst Perspectives

Markets have been more volatile than ever. It creates a need for decision makers to utilize technologies such as artificial intelligence and machine learning (AI/ML) to better understand the external factors that impact their business.

Analytics 130
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Subsurface: The Ultimate Data Lakehouse Conference

Speaker: Panel Speakers

We’ve just opened registration for Subsurface LIVE 2023! Learn how to innovate with open source technologies such as Apache Arrow, Delta Lake, and more. Register now to secure your spot at Subsurface LIVE being held March 1-2, 2023.

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Central Data all in on Phocas partnership

Phocas

Central Data has annually been recognized as one of Infor’s top distribution partners, being named North American Partner of the Year in 2020. The company’s consistency is a hallmark of its success and is a key reason for its longevity. It will celebrate its 50th anniversary in January 2023.

IT 130
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From Data Collection to Model Deployment: 6 Stages of a Data Science Project

Flipboard

Here are 6 stages of a novel Data Science Project; From Data Collection to Model in Production, backed by research and examples. KDnuggets Evergreen KDnuggets Originals Data Science

More Trending

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6 tips for making the most of a tight IT budget

CIO

IT leaders seeking to drive enterprise growth through technology investments are often saddled with budgets that make their tasks of increasing the top and bottom lines challenging. The year 2023 seems to be no different. Despite an estimated increase to IT budgets of 5.1%

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What is Data Quality in Machine Learning?

Analytics Vidhya

Introduction Machine learning has become an essential tool for organizations of all sizes to gain insights and make data-driven decisions. However, the success of ML projects is heavily dependent on the quality of data used to train models.

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The 2023 Market Agenda for Analytics: Empowering Workforces to Engage

David Menninger's Analyst Perspectives

Ventana Research recently announced its 2023 Market Agenda for Analytics , continuing the guidance we have offered for nearly two decades to help organizations derive optimal value from technology investments to improve business outcomes.

Marketing 130
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ChatGPT as a Python Programming Assistant

KDnuggets

Is ChatGPT useful for Python programmers, specifically those of us who use Python for data processing, data cleaning, and building machine learning models? Let's give it a try and find out. KDnuggets Originals Python

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4 Key Steps to Data Transformation Success with Data Mesh

It’s tougher than ever to give your clients the data and insight they need, when they need it (and how they want it) – while addressing issues like security. Find out how data mesh architectures can help you meet these challenges and more.

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Top 8 Data Science Slack Communities to Join in 2023

Flipboard

Take your Data Science journey to the next level by joining these Slack communities in 2023. KDnuggets Originals Data Science

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How AI is Changing Recruitment

DataFloq

AI is already having an impact on the recruitment industry by automating and streamlining key parts of the hiring process.

Risk 238
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The 7 new rules of IT leadership

CIO

The CIO role continues to evolve, changing as dramatically as the technology it manages and maintains. Moreover, the pace of the chief IT position’s transformation seems to be accelerating — likewise mirroring the speed of change in the tech stack.

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Roadmap to Adopting and Implementing MLOps in Organizations

Analytics Vidhya

Introduction Welcome to the world of MLOps, or Machine Learning Operations! If you’re an industry specialist looking to understand MLOps and how it can benefit your organization, then you’re at the right place.

Analytics 251
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5 Powerful Prescriptive Analytics Examples in Supply Chain

Prescriptive analytics is a type of advanced analytics that optimizes decision-making by providing a recommended action. Supply chain, with its complex planning questions, is typically an area where optimization technology is required. Read about 5 use cases.

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2023 Digital Technology Market Agenda: Innovation for Digital Agility

David Menninger's Analyst Perspectives

I’m proud to share Ventana Research’s 2023 Market Agenda for Digital Technology.

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Where Collaboration Fails Around Data (And 4 Tips for Fixing It)

KDnuggets

Data-driven organizations require complex collaboration between data teams and business stakeholders. Here are 4 proactive tips for reducing information asymmetries and achieving better collaboration. KDnuggets Originals Data Engineering

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Top Posts January 16-22: ChatGPT as a Python Programming Assistant

Flipboard

ChatGPT as a Python Programming Assistant • ChatGPT: Everything You Need to Know • Explainable AI: 10 Python Libraries for Demystifying Your Model’s … ChatGPT Generative AI OpenAI Artificial Intelligence Machine Learning

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How Synthetic Biology Will Define Humanity

DataFloq

Synthetic biology is a rapidly growing field that attempts to build synthetic organisms and systems using engineering principles. The goal of this field is to create new living things and organisms that do not exist in nature or copy existing biological systems for human applications.

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Getting Started With Scenario Modeling in Supply Chain Network Design

To build your supply chain’s agility and responsiveness, you need to look at scenarios more frequently instead of relying on a single plan. Let’s explore how you can apply scenario modeling in supply chain network design.

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8 ‘future of work’ mistakes IT leaders must avoid

CIO

CIOs supporting a hybrid mix of in-office and remote workers, and those who float between, need to implement new tools and strategies to get it right.

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Machine Learning Solution Predicting Road Accident Severity

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction This is a multiclass classification project to classify the severity of road accidents into three categories. This project is based on real-world data, and the dataset is also highly imbalanced.

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Use this Strategic Approach to Maximize Your Data’s Value

Smart Data Collective

In today’s world, data is more widely available to businesses than ever before.

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3 Things I Wish I Knew When I Started Data Science

KDnuggets

Looking back and realizing how I was wrong about the data science career. KDnuggets Evergreen KDnuggets Originals Career Advice

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Data Value Scorecard Report

This report examines the quantitative research of data leaders on data value and return on investment.

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Plumbing Wisdom for Data Pipelines

DataKitchen

While you’re admiring the latest cloud tech, don’t forget that humans have been debugging pipelines, at least since the Romans built the aqueducts.

Testing 130
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How to Create an Ethical Technology Start-up

DataFloq

The below is a summary of the full article here. The tech industry has a responsibility to use technology for good and create products that are used responsibly.

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7 tell-tale signs of fake DevOps

CIO

There’s no doubt that DevOps has helped many IT organizations achieve their goal of delivering applications and services faster and better than traditional software development processes.

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Introduction to Redis OM in Python

Analytics Vidhya

Introduction Redis OM is a widely used in-memory database deployed as a cache or database and message broker. It is well-suited for high-performance, real-time applications that need low-latency data access. Redis supports several data types, including strings, lists, sets, and hyperloglogs.

Analytics 211
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Best Practices to Model Carbon Costs in Supply Chain Network Design

How to model carbon costs in your supply chain design? Make conscious choices by comparing scenarios indicating at which points in the supply chain carbon emissions occur and achieve the right balance between sustainability and cost.

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How Useful is ChatGPT for Data Visualisation Work?

The Data Visualisation Catalogue

So I finally got around to looking into ChatGPT and while I may be a month or so behind, it has allowed me to see what others are saying on this topic before I write about it.

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The ChatGPT Cheat Sheet

KDnuggets

Impress your friends and loved ones by perfecting your ChatGPT prompt engineering game with this incredibly useful resource. KDnuggets Evergreen KDnuggets Originals Natural Language Processing

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6 Tips for Using Data Analytics for Product Page SEO

Smart Data Collective

Data analytics technology is becoming more important for marketing than ever before. Companies are projected to spend over $27 billion on marketing analytics by 2031. One of the many ways that marketers are leveraging data analytics is SEO.

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Why is Manufacturing Business Intelligence Important?

DataFloq

Business intelligence is now the ultimate solution for almost any business line and every industry. According to a recent report by Techjury , as much as 33% of top-market enterprises worldwide will practice data-driven decision-making baked by business intelligence.

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TCO Considerations of Using a Cloud Data Warehouse for BI and Analytics

Enterprises poured $73 billion into data management software in 2020 – but are seeing very little return on their data investments. 22% of data leaders surveyed have fully realized ROI in the past two years, with 56% having no consistent way of measuring it.