Sat.Apr 16, 2022 - Fri.Apr 22, 2022

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From the Ground Up: The Truth About Data Innovation

Cloudera

Data holds incredible untapped potential for Australian organisations across industries, regardless of individual business goals, and all organisations are at different points in their data transformation journey with some achieving success faster than others. . To be successful, the use of data insights must become a central lifeforce throughout an organisation and not just reside within the confines of the IT team.

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7 secrets of successful digital transformations

CIO Business Intelligence

Organizations that continued full speed ahead with their digital transformation initiatives during the COVID-19 pandemic are able to ruminate on what went right and what they would have done differently, with the benefit of hindsight. Some of what they’ve gleaned comes as no surprise: A successful digital transformation requires executive buy-in, constant communication with business units, and of course, financial commitment.

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What to Do After Deploying Your Model to Production?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Congratulations, you have deployed a model to production; it is an achievement for you and your team! In a normal software engineering development cycle, you would now sit back and relax; however, in the machine learning development cycle, deployment to production is just about […].

Modeling 398
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A Complete Guide To Driving Digital Transformation In Marketing

datapine

Digital transformation is a broad term that is difficult to define precisely. Think of digital transformation as a way to future-proof a business. But, you can consider it a change in the business activities to prioritize your business’s digital presence. Various industries and departments use this phrase in different ways. For instance, when it comes to Human Resources, a digital transformation entails streamlining operations and digitizing personnel data.

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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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The 8 Basic Statistics Concepts for Data Science

KDnuggets

Understanding the fundamentals of statistics is a core capability for becoming a Data Scientist. Review these essential ideas that will be pervasive in your work and raise your expertise in the field.

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Top 8 customer data platforms

CIO Business Intelligence

The world of marketing is awash in data. The solution? Embrace a customer data platform. Or at least some companies say. A customer data platform (CDP) is a software system that pulls together data from a wide array of sources — such as websites, ecommerce and ad platforms, social media applications, retail software, and more — to create a centralized customer database, as well as detailed profiles of each customer.

Sales 145

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Telco 5G Returns Will Come from Enterprise Data Solutions

Cloudera

This blog post was written by Dean Bubley , industry analyst, as a guest author for Cloudera. . Communications service providers (CSPs) are rethinking their approach to enterprise services in the era of advanced wireless connectivity and 5G networks, as well as with the continuing maturity of fibre and Software-Defined Wide Area Network (SD-WAN) portfolios. .

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How to Determine the Best Fitting Data Distribution Using Python

KDnuggets

Approaches to data sampling, modeling, and analysis can vary based on the distribution of your data, and so determining the best fit theoretical distribution can be an essential step in your data exploration process.

Modeling 157
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Secrets of future-ready tech leaders

CIO Business Intelligence

Every successful executive operates from their own leadership playbook: the lessons, philosophies and experiences that have shaped their careers and continue to guide their decisions and actions. These are the elements that remain rock-solid and foundational to their success—even in the face of unanticipated events and massive disruption. But business-driven technology leaders also recognize that what got them and their companies where they are today won’t win the day going forward.

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Determining the Market Price of Old Vehicles Using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Selling old stuff had always been a hassle in earlier times. No matter how good an item might have been, finding a buyer and getting the appropriate Market price was always a challenge. One was only able to sell items within a […]. The post Determining the Market Price of Old Vehicles Using Python appeared first on Analytics Vidhya.

Marketing 341
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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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7 Data Lineage Tool Tips For Preventing Human Error in Data Processing

Smart Data Collective

Errors in data entry might have serious effects if they are not discovered quickly. Human mistake is the most common cause of data entry errors. Since typical data entry errors may be minimized with the right steps, there are numerous data lineage tool strategies that a corporation can follow. The steps organizations can take to reduce mistakes in their firm for a smooth process of business activities will be discussed in this blog.

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Top YouTube Channels for Learning Data Science

KDnuggets

YouTube has become an important element in people's self-development and increase of knowledge. Check out this list of YouTube channels that offer Data Science learning.

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Change at the Speed of Innovation

CIO Business Intelligence

Successful companies today are lean, agile organizations with executives who have a vision and a mindset that empowers collaboration so employees can achieve that vision. Rapidly responding to dynamic market demands without compromising quality is required for survival. Achieving business transformation and agility requires commitment from leadership at the very top of an organization, including C-suite, business and technology leaders.

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Predicting SONAR Rocks Against Mines with ML

Analytics Vidhya

This article was published as a part of the Machine Learning. Introduction This article is about predicting SONAR rocks against Mines with the help of Machine Learning. SONAR is an abbreviated form of Sound Navigation and Ranging. It uses sound waves to detect objects underwater. Machine learning-based tactics, and deep learning-based approaches have applications in […].

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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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The Next Wave of ‘Ops’ Advances on the Data Center

DataKitchen

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A Brief Introduction to Papers With Code

KDnuggets

One-stop shop to learn about state-of-the-art research papers with access to open-source resources including machine learning models, datasets, methods, evaluation tables, and code.

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What is data science? Transforming data into value

CIO Business Intelligence

What is data science? Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. For most organizations, it is employed to transform data into value in the form of improved revenue, reduced costs, business agility, improved customer experience, the development of new products, and the like.

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The DataHour: Artificial Intelligence in Retail

Analytics Vidhya

Dear Readers, We are back with another episode of our flagship learning series on data analytics, “The DataHour”. In this edition, Dr. Shantha Mohan, Mentor and Project Guide at Carnegie Mellon University’s Integrated Innovation Institute, will guide you through “Artificial Intelligence in Retail” applications. Machine learning plays a vital role in Retail Management, primarily due […].

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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.

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5 Great Tips for Using Data Analytics for Website UX

Smart Data Collective

We have pointed out in the past that big data offers a number of benefits for online commerce. One of the most important benefits of data analytics pertains to optimizing websites for a good user experience. User experience optimization (UX) is becoming more important than ever. One study found that the ROI of UX strategies is 9,900%. As more companies realize the importance of offering a stellar web experience, they will invest in big data as part of their UX strategies.

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Deploy a Machine Learning Web App with Heroku

KDnuggets

In this article, you will learn to deploy a fully functional ML web application in under 3 minutes.

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11 ways to kill your IT career (without knowing it)

CIO Business Intelligence

Crafting a successful IT career that keeps you engaged, satisfied, and growing is a balancing act. Stay too long with one technology — or one job — and the industry may shift without you realizing it. Take on too much and your team and your own well-being will suffer. So what’s the best way to lay a foundation for a career that’s challenging and rewarding, amid the day-to-day project demands and workplace stress?

IT 137
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What is MySQL Partitions and its Types?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In today’s data-driven world, organisations work with massive datasets and leverage some aspects of this data for their day-to-day operations. Data professionals in such companies prefer to have small partitions of data as it allows them to analyse and manipulate information without any hassle. […].

IT 315
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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

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Preserving Data Quality is Critical for Leveraging Analytics with Amazon PPC

Smart Data Collective

Amazon is without a doubt the largest retailer in the world. More businesses than ever are turning to Amazon to expand their reach. Unfortunately, the Amazon marketplace has become extraordinarily competitive in recent years. Companies that utilize data analytics to make the most of their business model will have an easier time succeeding with Amazon.

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A Community for Synthetic Data is Here and This is Why We Need It

KDnuggets

The first open-source platform for synthetic data is here to help educate the broader machine learning and computer vision communities on the emerging technology.

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Key Considerations When Managing a Multivendor IT Environment

CIO Business Intelligence

Multivendor enterprise IT environments don’t spring up overnight. They tend to evolve over time. Organizations cobble them together by combining sequences of usually unrelated events – everything from acquisitions to investments in best-of-breed components to leadership changes that shift tactics regarding vendor preferences. Where does this leave IT leaders?

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An Overview of HDFS: NameNodes and DataNodes

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Modern applications and products deal with large amounts of data. The quantity of data being processed and utilised in modern times is enormous. So, the question arises? How to manage large files and data. Data size soon outgrows a machine’s storage limit […].

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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VPNs Are Essential Data Protection Tools for Home Offices

Smart Data Collective

Data protection is becoming more important than ever. The risk of cyberattacks has risen sharply, as more people are working from home even as the pandemic subsides. A recent report showed data breaches jumped 68% in 2021 to the highest level ever. That figure is likely to rise even more in the coming months. One of the most unusual consequences of the war in Ukraine is the increased cybersecurity risk, with one report suggesting that Russia is preparing to launch destructive attacks on the US a

Risk 110
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Machine Learning Books You Need To Read In 2022

KDnuggets

I have a list of Machine Learning books you need to read in 2022; beginner, intermediate, expert, and for everybody.

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At a loss for data project ROI? Evaluate it like a product

CIO Business Intelligence

In 2006, British mathematician Clive Humby proclaimed, “Data is the new oil.”. Humby had bona fides to make that claim. He and his wife, Edwinna Dunn, own Dunnhumby, a global customer data science company that helped Tesco create its Clubcard, the world’s first supermarket loyalty card. The program gave the British retailer unprecedented insight into its customers and their buying habits.

ROI 116
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Getting Started with PySpark Using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be getting our hands dirty with PySpark using Python and understand how to get started with data preprocessing using PySpark. This particular article’s whole attention is to get to know how PySpark can help in the data cleaning process […].

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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role. We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond.