2023

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What Is MLOps and Why Is It Important?

DataFloq

With the maturing of technologies such as Artificial Intelligence (AI), organizations have begun to understand the plethora of opportunities and challenges it offers.

IT 260
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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 234
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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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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

More Trending

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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 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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AI Trends Are Shaping Sales

The Data Administration Newsletter

The sales industry has been witnessing the rise of AI and automation over many years and 2023 will not be an exception.

Sales 83
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Scaling AI/ML Success: Key Components of a Future-Proof Platform

Dataiku

Not long ago, just having a data science team allowed executives to say they were "doing AI," but that has changed.

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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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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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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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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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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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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

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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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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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ON-DEMAND WEBINAR: Managing Stress in Data Engineering: Data Quality and Testing Techniques for Data Observability

DataKitchen

Why do 78% of data engineers wish their job came with a therapist to help manage work-related stress? THEY DO NOT TEST. The post ON-DEMAND WEBINAR: Managing Stress in Data Engineering: Data Quality and Testing Techniques for Data Observability first appeared on DataKitchen.

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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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Top 10 Charts in 2022

The Data Visualisation Catalogue

As per tradition, the website stats on the most popular chart reference pages for the past year are made public for all readers of this website to explore.

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Challenges of Working with Big Data

The Data Administration Newsletter

Ours truly is the information age. Now more than ever, companies live and die not only on the strength of their data, but also on its application.

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How Did Our ML Model Rank #1 in Dataiku's 2022 FIFA World Cup Betting Contest?

Dataiku

The FIFA World Cup ended nearly a month ago, and we can now bring down the curtain on a memorable season with its fair share of emotions and surprises. Sadly, our favorite team didn’t win, but it’s not a big deal since the model we created to predict World Cup game outcomes performed very well!

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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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Data Value Scorecard Report

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

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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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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 252
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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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Smart approaches to allocations in enterprise financial and operational planning

IBM Journey to AI blog

An allocation is the process of shifting overhead costs throughout an organization. One company might want to distribute costs across business units or departments. Another might want to assign costs to individual products or projects.

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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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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 Visualization Boosts Business Scalability with Sales Mapping

Smart Data Collective

Data visualization tools have become very useful for many businesses. Companies use data visualization for trend mapping, data contextualization and various forms of business optimization. Therefore, it should come as no surprise that global companies are projected to spend over $10.2

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United Bank Limited optimizes its data analytics with the Cloudera Data Platform (CDP)

Cloudera

United Bank Limited (UBL), a Pakistani banking and financial services leader, serves over 11 million customers nationwide and operates 1,338 branches and 1,445 ATMs, along with its branchless banking proposition (combination ATM and online banking).

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Podcast: Discovering Data: Build a little, test a little, learn a lot

DataKitchen

The post Podcast: Discovering Data: Build a little, test a little, learn a lot first appeared on DataKitchen. Podcast Uncategorized Webinar / Podcast

Testing 100
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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.