Sat.Sep 10, 2022 - Fri.Sep 16, 2022

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Blockchain Technology and its Types

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Blockchain technology is a decentralized, distributed ledger that keeps a record of ownership of digital assets. Any data stored on the blockchain cannot be modified, making the technology a legitimate disruptor for payments, cybersecurity, and healthcare industries. Blockchain is a system of registering […].

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Augmented Intelligence Reduces Dependency on AI/ML Skill Sets

David Menninger's Analyst Perspectives

Business intelligence has evolved. It now includes a spectrum of analytics , one of the most promising of which has been described as augmented intelligence. Some organizations have used the term to describe the practical reality that artificial intelligence with machine learning is not replacing human intelligence, but augmenting it. The term also represents the application of AI/ML to make business intelligence and analytics tools more powerful and easier to use.

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Top tips: The most common dashboard pitfalls

Data Insight

Dashboards save time, improve business processes and enable you to spot gaps or issues – but only when designed well and used correctly. A poorly designed dashboard that’s used improperly – or not at all – has limited effectiveness, and can be a waste of digital space.

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5 Data Science Skills That Pay & 5 That Don’t

KDnuggets

This article will go over the top 5 data science skills that pay you and 5 that don’t.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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Hindi Character Recognition on Android using TensorFlow Lite

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction If you ever wanted to build an image classifier for text recognition, I’m assuming you probably must have implemented the classic Handwritten Digit Recognition application from TensorFlow’s official examples. Often referred to as the ‘Hello World’ of Computer Vision, it’s a great starting […].

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American Airlines takes flight with analytics transformation

CIO Business Intelligence

In the wake of the COVID-19 pandemic, airlines have struggled with bad weather, fewer air traffic controllers, and a shortage of pilots, all leading to an unprecedented number of cancelations in 2022. According to Reuters , more than 100,000 flights in the US were canceled between January and July, up 11% from pre-pandemic levels. American Airlines, the world’s largest airline, is turning to data and analytics to minimize disruptions and streamline operations with the aim of giving travelers a s

Analytics 145

More Trending

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5 Concepts You Should Know About Gradient Descent and Cost Function

KDnuggets

Why is Gradient Descent so important in Machine Learning? Learn more about this iterative optimization algorithm and how it is used to minimize a loss function.

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Upcoming DataHour Sessions: Book your Calendars!

Analytics Vidhya

Introduction Data science is a practical subject that the experts can best explain in the field. To provide our community with a better understanding of how different elements of the subject are used in different domains, Analytics Vidhya has launched our DataHour sessions. These sessions will enhance your domain knowledge and help you learn new […].

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How to create a culture of innovation

CIO Business Intelligence

So much has changed since the early days of 2020 when the COVID-19 pandemic forced organizations to rethink where and how people work. What didn’t change was the need for organizations to continue to move forward with digital initiatives. For CIOs and IT leaders, that meant adopting a sink-or-swim mentality, and accelerating initiatives even as they transitioned to remote work.

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AI Technology and Creativity Are Intertwined in Marketing

Smart Data Collective

Big data technology has helped many companies improve efficiency and address some of the top challenges they have encountered in recent years. A growing number of businesses have invested in AI to improve their business models. As a result, the market for AI technology is projected to be worth over $420 billion by 2028. Surveys have shown that 90% of the top businesses use AI , even though only 37% of companies use it at all.

Marketing 125
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Top Open Source Large Language Models

KDnuggets

In this article, we will discuss the importance of large language models and suggest some of the top open source models and the NLP tasks they can be used for.

Modeling 138
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Understanding Word Embeddings and Building your First RNN Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Deep learning is one of the hottest fields in the past decade, with applications in industry and research. However, even though it’s easy to delve into the topic, many people are confused by the terminology and end up only implementing neural network […]. The post Understanding Word Embeddings and Building your First RNN Model appeared first on Analytics Vidhya.

Modeling 381
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9 most in-demand IT jobs in manufacturing

CIO Business Intelligence

The manufacturing industry is experiencing its “fourth industrial revolution,” with manufacturers focused on leveraging IT to stay competitive and meet the demand for digital services that can enhance their physical wares. Sensors, AI, and robotics are key Manufacturing 4.0 technologies that fueled data strategies aimed at identifying inefficiencies, streamlining processes, and improving the ability to forecast and predict industry trends.

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Benefits of High-Resolution Lidar Data for Data-Driven Companies

Smart Data Collective

A growing number of organizations are resorting to the use of big data. They have found that big data technology offers a number of benefits. Companies that leverage it effectively increase their profitability by 60%. However, utilizing big data is more difficult than it might seem. Companies must be aware of the different ways that data can be collected, aggregated and applied.

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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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Removing Outliers Using Standard Deviation in Python

KDnuggets

Standard Deviation is one of the most underrated statistical tools out there. It’s an extremely useful metric that most people know how to calculate but very few know how to use effectively.

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How to Deploy a Machine learning model on AWS EC2

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction AWS is a cloud computing service that provides on-demand computing resources for storage, networking, Machine learning, etc on a pay-as-you-go pricing model. AWS is a premier cloud computing platform around the globe, and most organization uses AWS for global networking and data […].

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NJ Transit creates ‘data engine’ to fuel transformation

CIO Business Intelligence

NJ Transit’s digital infrastructure has come a long way since Lookman Fazal took the top tech post more than three years ago. The chief information and digital officer for the transportation agency moved the stack in his data centers to a best-of-breed multicloud platform approach and has been on a mission to squeeze as much data out of that platform as possible to create the best possible business outcomes.

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Leading Trends of Fintech Development Services in 2022

Smart Data Collective

The fintech sector is growing at a shocking rate. The market was worth over $112 billion last year. By 2028, it should be worth over $332 billion. Some entrepreneurs might think this is the best time ever to invest in fintech. While the market is growing and creating more opportunities for fintech entrepreneurs, the stakes are also higher than ever.

Finance 113
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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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Simplifying Decision Tree Interpretability with Python & Scikit-learn

KDnuggets

This post will look at a few different ways of attempting to simplify decision tree representation and, ultimately, interpretability. All code is in Python, with Scikit-learn being used for the decision tree modeling.

Modeling 110
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How to Use Data to Drive Your Marketing Strategy

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In the era of big data, it’s no surprise that more and more marketers are using data science in marketing to better position their brands, products, and services in today’s hyper-competitive marketplace. Source: [link] Four points that you need to take into your […].

Marketing 373
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7 tell-tale signs of fake agile

CIO Business Intelligence

If it looks like a duck, swims like a duck, and quacks like a duck, then it’s probably a duck. The same is not true, sadly, for many agile project management and development initiatives. Too often, an organization may launch something that looks like an agile program, calls itself an agile program, claims to operate like an agile program, yet really isn’t an agile program in the least.

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Big Data Helps Drive the Future of Virtual Healthcare

Smart Data Collective

Big data technology is shaping the future of healthcare. Global healthcare companies are projected to spend over $105 billion on big data by 2030. One of the biggest benefits of big data in healthcare has been in the field of virtual healthcare. Demand for virtual healthcare services exploded during the pandemic. Big data technology is helping make this new field even more promising.

Big Data 107
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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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An Intuitive Explanation of Collaborative Filtering

KDnuggets

The post introduces one of the most popular recommendation algorithms, i.e., collaborative filtering. It focuses on building an intuitive understanding of the algorithm illustrated with the help of an example.

IT 110
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All you Need to Know About AutoEncoders in 2022

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction As the world develops rapidly with advances in machine learning and artificial intelligence, we will soon face a situation of uncontrollable data augmentation. GPUs, TPUs, and other faster storage and processing mechanisms have so far successfully processed vast amounts of data in […].

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The RACI matrix: Your blueprint for project success

CIO Business Intelligence

Having managed and rescued dozens of projects, and helped others do so, I’ve noted that there is always one critical success factor (CSF) that has either been effectively addressed or missed/messed up: clarity around the roles and responsibilities for each project participant and key stakeholder. No matter how detailed and complete a project plan may be for any project, confusion or omission of participant roles and responsibilities will cause major problems.

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How to Decide Whether a SaaS Tool is Worth Purchasing?

Smart Data Collective

In today’s more competitive, technology-driven corporate environment, all firms seeking to increase activity and productivity are reaping the benefits of the software world. The software industry is quite diverse, with solutions that may fulfill practically any potential business requirement, whether it be increased cloud computing capabilities, artificial intelligence-based automation tools, or merchant processing choices.

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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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Top Posts August 29 – September 11: Free Python for Data Science Course

KDnuggets

Free Python for Data Science Course • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • Everything You've Ever Wanted to Know About Machine Learning • 7 Tips for Python Beginners • 5 Tricky SQL Queries Solved.

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Implementing Count Vectorizer and TF-IDF in NLP using PySpark

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Natural language processing is one of the most widely used skills at the enterprise level as it can deal with non-numeric data. As we know machines communicate in either 0 or 1. Still, we as humans communicate in our native languages (English as a […]. The post Implementing Count Vectorizer and TF-IDF in NLP using PySpark appeared first on Analytics Vidhya.

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USPTO takes human-first approach to AI innovation

CIO Business Intelligence

Like many insights-driven organizations, the United States Patent and Trademark Office (USPTO) leverages data analytics and technologies such as AI and machine learning (ML) to increase the efficiency and performance of its operations and to improve the quality of systems and processes. While AI and ML algorithms are critical to the agency’s endeavors, the government agency’s guiding principle is to take a human-first approach in developing and using these technologies to refine and scale its in

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Machine Learning Leads to Huge Breakthroughs in Trading

Smart Data Collective

Machine learning technology has been the basis for some of the biggest changes taking place in the financial sector. The securities markets are some of the biggest examples. A growing number of people are using machine learning to perfect their stock trading strategies. Machine learning technology helps them forecast changes in asset prices based on various factors that have been proven to be correlated with financial market activity.

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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.