January, 2023

article thumbnail

CIOs sharpen tech strategies to support hybrid work

CIO Business Intelligence

A significant number of organizations are operating in a hybrid model — and expect to continue with that hybrid environment for the foreseeable future. Global analytics and advice firm Gallup has found that the percentage of remote-capable workers working in a hybrid environment increased in 2022 , moving from 42% in February to 49% in June. Gallup also found that only 20% of remote-capable employees were working fully on-site while 30% were fully remote in 2022.

Strategy 142
article thumbnail

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. Poor data quality can lead to inaccurate predictions and poor model performance. Understanding the importance of data […] The post What is Data Quality in Machine Learning?

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Free Data Management with Data Science Learning with CS639

KDnuggets

Learn Data Management with Data Science for FREE with CS639.

article thumbnail

What is business intelligence? Transforming data into business insights

CIO Business Intelligence

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions. BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business.

article thumbnail

The Definitive Entity Resolution Buyer’s Guide

Are you thinking of adding enhanced data matching and relationship detection to your product or service? Do you need to know more about what to look for when assessing your options? Our Entity Resolution Buyer’s Guide gives you step-by-step details about everything you should consider when evaluating entity resolution technologies. We discuss use cases, technology, and deployment options, top ten evaluation criteria and more.

article thumbnail

7 tell-tale signs of fake DevOps

CIO Business Intelligence

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. Unfortunately, while some IT leaders do a fine job of trumpeting DevOps’ benefits, their teams are headed in the wrong direction , embracing half-baked or completely wrong tools and practices.

Software 145
article thumbnail

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

KDnuggets

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

More Trending

article thumbnail

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. MLOps, or Machine Learning Operations, is a set of practices and techniques that enables an organization to effectively build, deploy, and manage […].

article thumbnail

Automating the Automators: Shift Change in the Robot Factory

O'Reilly on Data

What would you say is the job of a software developer? A layperson, an entry-level developer, or even someone who hires developers will tell you that job is to … well … write software. Pretty simple. An experienced practitioner will tell you something very different. They’d say that the job involves writing some software, sure. But deep down it’s about the purpose of software.

article thumbnail

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. Whether it’s data about customer demographics , product colors that tend to sell better, or which cold email scripts are the most effective, organizations have the power to utilize data to help them inform their decision-making process in a variety of ways. However, while the immense amount of data available to organizations unlocks new possibilities — it can also make cleaning organizing, interpreting, and analyzing

article thumbnail

CIOs step up to fill plus-size leadership roles

CIO Business Intelligence

With a career path that wound through R&D, product development, advanced supply chain, and technology, Praveen Jonnala is well positioned to lead a global IT organization as well as take the reins of operations and other core business functions. Jonnala stepped in as CIO at network infrastructure provider CommScope two years ago after more than a dozen years spent at the company in various roles leading business and technology transformation.

article thumbnail

How Intent Data Helps Marketers Convert A-List Accounts

One of the biggest challenges for any B2B marketer is understanding your prospects’ next move — who is most likely to buy and when. Without these insights, marketing campaigns can feel more like guesswork, with high investment and little return. We’re here to tell you there’s a better way. By tracking buyers’ digital footprints and online activity, such as website visits, product reviews, and spikes in content consumption, you can engage prospects with a message that really resonates.

article thumbnail

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. There’s been a lot of buzz on ChatGPT since December, not just from developers and copywriters, but also even people discussing the wider philosophical implications of tools like it.

article thumbnail

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.

article thumbnail

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. There are three types of injuries in a target variable: minor, severe, […].

article thumbnail

Digesting 2022

O'Reilly on Data

The holidays are over, and it’s time to digest. Although I don’t subscribe to the idea that history or technology moves in jerky one-year increments, it’s still valuable to take stock, look at what’s happened, and decide what was important and what isn’t. We started the year with many people talking about an “AI winter.” A quick Google search will show that anxiety about an end to AI funding has continued through the year.

Modeling 259
article thumbnail

The Essential Guide to Analytic Applications

Embedding dashboards, reports and analytics in your application presents unique opportunities and poses unique challenges. We interviewed 16 experts across business intelligence, UI/UX, security and more to find out what it takes to build an application with analytics at its core. No matter where you are in your analytics journey, you will learn about emerging trends and gather best practices from product experts.

article thumbnail

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. Data-driven SEO can be very beneficial for any company trying to boost organic search traffic to their product pages.

article thumbnail

Top automation pitfalls and how to avoid them

CIO Business Intelligence

First Tech Credit Union is a San Jose-based financial institution with more than $16 billion in assets. As the eighth largest in the country, it primarily serves tech companies and their employees, but still has a lot of manual processes in place. “We’re very early in our automation journey,” says Mike Upton, the organization’s digital and technology officer.

article thumbnail

Introducing native support for Apache Hudi, Delta Lake, and Apache Iceberg on AWS Glue for Apache Spark, Part 1: Getting Started

AWS Big Data

AWS Glue is a serverless, scalable data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources. AWS Glue provides an extensible architecture that enables users with different data processing use cases. A common use case is building data lakes on Amazon Simple Storage Service (Amazon S3) using AWS Glue extract, transform, and load (ETL) jobs.

Data Lake 107
article thumbnail

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.

article thumbnail

Why Modern Data Challenges Require a New Approach to Governance

A healthy data-driven culture minimizes knowledge debt while maximizing analytics productivity. Agile Data Governance is the process of creating and improving data assets by iteratively capturing knowledge as data producers and consumers work together so that everyone can benefit. It adapts the deeply proven best practices of Agile and Open software development to data and analytics.

article thumbnail

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. Redis-py is one of the most used Redis Clients for python to access the Redis […] The post Introduction to Redis OM in Python appeared first on Analytics Vidhya.

Analytics 299
article thumbnail

Machine Learning to Improve SEO Performance

TDAN

For the larger part of my SEO career, I was leading a team of a dozen marketing specialists working on multiple SaaS or affiliate projects. At one point, I asked myself whether I could utilize my data science expertise to get better marketing results.

article thumbnail

7 Mistakes to Avoid When Using Machine Learning for SEO

Smart Data Collective

Companies around the world are projected to spend over $300 billion on machine learning technology by 2030. There are a growing number of reasons that companies are investing in machine learning, but digital marketing is at the top of the list. SEO, in particular, relies more heavily on machine learning these days. More Companies Are Discovering the Benefits of Using Machine Learning for SEO A few years ago, we wrote an article pointing out that machine learning is rewriting the rules of SEO.

article thumbnail

Top 9 challenges IT leaders will face in 2023

CIO Business Intelligence

Three years ago, IT leaders were squarely focused on how to adopt fledgling AI techniques and approaches into their business models in service of digital transformations that included plans for shifting some workloads to the cloud. But then the pandemic hit, requiring a historic pivot that set some best-laid plans aside and accelerated others. Now that organizations have returned to a new (somewhat) normal, CIOs appear to be focused on getting back to basics — and untangling tech debt incurred i

IT 145
article thumbnail

Value-Driven AI: Applying Lessons Learned from Predictive AI to Generative

Speaker: Data Robot

Enterprise AI maturity has evolved dramatically over the past 5 years. Most enterprises have now experienced their first successes with predictive AI, but the pace and scale of impact have too often been underwhelming. Now generative AI has emerged and captivated the minds and imaginations of leaders and innovators everywhere. Join our DataRobot experts to reflect on lessons learned from helping hundreds of enterprises grow their AI maturity over the past 5 years.

article thumbnail

Amazon OpenSearch Serverless is now generally available!

AWS Big Data

We ended 2022 on a high note with the preview release of Amazon OpenSearch Serverless at re:Invent. Today, we are happy to announce the general availability of Amazon OpenSearch Serverless , the serverless option for Amazon OpenSearch Service that makes it easier to run search and analytics workloads without even having to think about infrastructure management.

Analytics 106
article thumbnail

Python Matplotlib Cheat Sheets

KDnuggets

Matplotlib is the most famous and commonly used plotting library in Python. It allows you to create clear and interactive visualizations that make your data easier to understand and your results more concrete.

article thumbnail

The Future of Machine Learning: AutoML

Analytics Vidhya

Introduction Source – mccinnovations.com Do you ever wonder how companies develop and train machine learning models without experts? Well, the secret is in the field of Automated Machine Learning (AutoML). AutoML simplifies the process of building and tuning machine learning models for organizations to harness the power of […] The post The Future of Machine Learning: AutoML appeared first on Analytics Vidhya.

article thumbnail

A Step Ahead: Federated Data Stores

TDAN

Government systems produce and store a large amount of data daily. Government leaders want to utilize this data to make decisions faster and more efficiently. It is nearly impossible to make well-informed decisions if that data is not visible, accessible, organized, and cannot be seamlessly discovered across the enterprise.

article thumbnail

From Complexity to Clarity: Strategies for Effective Compliance and Security Measures

Speaker: Erika R. Bales, Esq.

When we talk about “compliance and security," most companies want to ensure that steps are being taken to protect what they value most – people, data, real or personal property, intellectual property, digital assets, or any other number of other things - and it’s more important than ever that safeguards are in place. Let’s step back and focus on the idea that no matter how complicated the compliance and security regime, it should be able to be distilled down to a checklist.

article thumbnail

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 billion on data visualization technology within the next three years.

article thumbnail

8 top priorities for CIOs in 2023

CIO Business Intelligence

Welcome to 2023. As the new year arrives, CIOs are facing a challenging to-do list as they strive to maximize IT productivity and efficiency in increasingly unpredictable times. As technology projects, budgets, and staffing grew over the past few years, the focus was on speed to market to maximize opportunity, says Troy Gibson, CIO services leader at business and IT advisory firm Centric Consulting.

article thumbnail

Serverless logging with Amazon OpenSearch Serverless and Amazon Kinesis Data Firehose

AWS Big Data

In this post, you will learn how you can use Amazon Kinesis Data Firehose to build a log ingestion pipeline to send VPC flow logs to Amazon OpenSearch Serverless. First, you create the OpenSearch Serverless collection you use to store VPC flow logs, then you create a Kinesis Data Firehose delivery pipeline that forwards the flow logs to OpenSearch Serverless.

article thumbnail

5 Ways to Deal with the Lack of Data in Machine Learning

KDnuggets

Effective solutions exist when you don't have enough data for your models. While there is no perfect approach, five proven ways will get your model to production.

article thumbnail

From Hadoop to Data Lakehouse

Getting off of Hadoop is a critical objective for organizations, with data executives well aware of the significant benefits of doing so. The problem is, there are few options available that minimize the risk to the business during the migration process and that’s one of the reasons why many organizations are still using Hadoop today. By migrating to the data lakehouse, you can get immediate benefits from day one using Dremio’s phased migration approach.