Analytics Vidhya

JANUARY 21, 2023

Introduction Data science is a rapidly growing field with many career opportunities. Data scientists are at the forefront of solving complex problems using data-driven approaches, from predicting market trends to developing personalized recommendations. To succeed in this field, you’ll need a strong foundation in mathematics, statistics, and computer science and the ability to work with […] The post The Ultimate Guide to Choosing the Best Data Science Course to Boost Your Career in 2

Data Science 314

Data Science Statistics Data-driven Marketing 314

CIO Business Intelligence

JANUARY 24, 2023

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

Strategy Consulting Technology Software 142

David Menninger's Analyst Perspectives

JANUARY 24, 2023

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. By identifying these factors, organizations can better plan for changing market environments and seize market opportunities.

Forecasting 130

Forecasting Analytics Machine Learning Testing 130

KDnuggets

JANUARY 24, 2023

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.

Machine Learning 158

Machine Learning Modeling 158

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

Analytics Vidhya

JANUARY 25, 2023

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 352

Analytics IT Management 352

CIO Business Intelligence

JANUARY 23, 2023

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.

Digital Transformation 145

Digital Transformation Technology Management Insurance 145

KDnuggets

JANUARY 23, 2023

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

Data Collection 158

Data Collection Data Science Modeling 158

Analytics Vidhya

JANUARY 27, 2023

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. Usually, Machine Learning models are trained on big chunks of data to analyze the patterns where […] The post How is TinyML Used for Embedding Smaller Systems?

Machine Learning 337

Machine Learning Modeling Analytics IT 337

CIO Business Intelligence

JANUARY 26, 2023

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% on average for 2023, research firm Gartner points to a projected 6.5% global inflation rate, an ongoing talent squeeze, and persistent supply issues as a triple threat to CIOs’ ability to realize time to value for their tech i

IT 138

IT Cost-Benefit Finance Consulting 138

The Data Visualisation Catalogue

JANUARY 24, 2023

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.

Visualization 111

Visualization Interactive Data-driven Testing 111

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Data-driven

KDnuggets

JANUARY 26, 2023

Impress your friends and loved ones by perfecting your ChatGPT prompt engineering game with this incredibly useful resource.

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Analytics Vidhya

JANUARY 23, 2023

Introduction The sigmoid function is a fundamental component of artificial neural networks and is crucial in many machine-learning applications. This blog post will dive deep into the sigmoid function and explore its properties, applications, and implementation in code. Source: Pixabay First, let’s start with the basics. The sigmoid function is a mathematical function that maps […] The post Why is Sigmoid Function Important in Artificial Neural Networks?

Machine Learning 337

Machine Learning Analytics IT Deep Learning 337

CIO Business Intelligence

JANUARY 23, 2023

OpenAI has landed billions of dollars more funding from Microsoft to continue its development of generative artificial intelligence tools such as Dall-E 2 and ChatGPT. A move that is likely to unlock similar investments from competitors — Google in particular — and open the way for new or improved software tools for enterprises large and small. Microsoft stands to benefit from its investment in three ways.

Enterprise 131

Enterprise Deep Learning Recreation/Entertainment Interactive 131

AWS Big Data

JANUARY 26, 2023

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 113

Data Lake Big Data Software Interactive 113

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

Marketing

KDnuggets

JANUARY 23, 2023

Get your hands on these gems to learn Python, data analytics, machine learning, and deep learning.

Data Science 158

Data Science Deep Learning Machine Learning Data Analytics 158

Analytics Vidhya

JANUARY 21, 2023

Introduction Hi everyone! I hope by now you are familiar with linear and logistic regression. In those algorithms, the major disadvantage is that it has to be linear, and the data needs to follow some assumption. For example, 1. Homoscedasticity 2. multicollinearity 3. No auto-correlation and so on. But, In the Decision tree, we don‘t […] The post Step-by-Step Working of Decision Tree Algorithm appeared first on Analytics Vidhya.

Analytics 336

Analytics IT Machine Learning 336

CIO Business Intelligence

JANUARY 25, 2023

As CIO of United Airlines, Jason Birnbaum is laser focused on using technology and data to enable the company’s 86,000 employees to create as seamless a customer travel experience as possible. “Our goal is to improve the entire travel process from when you plan a trip to when you plan the next trip,” says Birnbaum, who joined the airline in 2015 and became CIO last July.

Digital Transformation 128

Digital Transformation Data-driven Technology Modeling 128

Dataiku

JANUARY 25, 2023

If there’s one thing we’ve learned at Dataiku after talking to thousands of prospects and customers about their data architecture it’s that architecture frameworks tend to be more aspirational than realistic because, at the enterprise level, data architecture is both complex and constantly changing. But the importance of data architecture in the success of AI initiatives at an organization also cannot be understated.

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Data Architecture Enterprise 98

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

KDnuggets

JANUARY 24, 2023

This article explores the knapsack problem. We will discuss why it is difficult to solve traditionally and how genetic programming can help find a "good enough" solution. We will then look at a Python implementation of this solution to test out for ourselves.

Testing 112

Testing IT Machine Learning 112

Analytics Vidhya

JANUARY 27, 2023

Introduction Effective data management is crucial for organizations of all sizes and in all industries because it helps ensure the accuracy, security, and accessibility of data, which is essential for making good decisions and operating efficiently. Properly organizing and maintaining your data can help ensure that it is accurate and up to date. This is important […] The post How is AI Improving the Data Management Systems?

Management 325

Management Analytics IT Business Analytics 325

CIO Business Intelligence

JANUARY 26, 2023

It feels like just yesterday that we were promised that cloud servers cost just pennies. You could rent a rack with the spare change behind the sofa cushions and have money left for an ice cream sandwich. Those days are long gone. When the monthly cloud bill arrives, CFOs are hitting the roof. Developer teams are learning that the pennies add up, sometimes faster than expected, and it’s time for some discipline.

Management 116

Management Forecasting Dashboards Optimization 116

Smart Data Collective

JANUARY 25, 2023

Analytics technology is changing the state of many different industries. The construction sector is no exception. Construction companies are projected to spend nearly $19.7 billion on analytics technology by 2027. While a growing number of construction companies are starting to appreciate the importance of analytics technology, some are still unaware of the benefits.

Management 99

Management Analytics Cost-Benefit Analytics Technologies 99

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

Data-driven

KDnuggets

JANUARY 23, 2023

JupyterHub is a multi-user, container-friendly version of the Jupyter Notebook. However, it can be difficult to setup. This blog post will make you less likely to run into issues in this 15+ step process.

IT 112

IT 112

Analytics Vidhya

JANUARY 25, 2023

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.

Machine Learning 328

Machine Learning Modeling Analytics Data Science 328

CIO Business Intelligence

JANUARY 25, 2023

Based in Pittsburgh and privately owned, grocery chain Giant Eagle, with 34,000 employees across 570 locations, raced to deliver new digital experiences and buying capabilities for their customers during those intensely challenging early months of the pandemic. And it’s during that time when Ball joined, in June 2020. “The pandemic certainly accelerated the growth and adoption of buying online, and that certainly caused us to accelerate the landscape and breadth of the offering we have,” he says

Strategy 113

Strategy Interactive Digital Transformation Technology 113

Smart Data Collective

JANUARY 25, 2023

The biggest threat to digital security is weaponized artificial intelligence (AI) , which is ubiquitous and damaging. AI is neither good nor bad, but the people behind it can distinguish between AI being an asset or a threat. Cyber-attacks have grown in frequency and sophistication and have become more difficult to detect and stop. The profitability of hacking into data systems in the black market has propelled this threat, causing security experts to lag.

Enterprise 98

Enterprise Data Processing Measurement IT 98

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

Sales

KDnuggets

JANUARY 23, 2023

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

Machine Learning 119

Machine Learning 119

Analytics Vidhya

JANUARY 24, 2023

Introduction Statistical models are significant for understanding and predicting complex data. You can see patterns and relationships and make accurate predictions about future values. A viable area for statistical modeling is time-series analysis. Time series data are collected over time and can be found in various fields such as finance, economics, and technology.

Statistics 321

Statistics Modeling Finance Technology 321

CIO Business Intelligence

JANUARY 23, 2023

The pandemic has led many organizations in the Middle East to shift towards a digital-first strategy. According to IDC’s group vice president and regional managing director for the Middle East, Turkey, and Africa, Jyoti Lalchandani: “This means choosing digitalization options over non-digital options as a rule while implementing or enhancing new products, services, channels, customer/employee experiences, or operational processes.

IoT 111

IoT Strategy Cost-Benefit Digital Transformation 111

DataKitchen

JANUARY 26, 2023

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

Testing 100

Testing 100

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.

Modeling