Sat.May 21, 2022 - Fri.May 27, 2022

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The DataHour: Introduction to Blockchain

Analytics Vidhya

Dear Readers, When the entire world is so buzzed with the word ‘Blockchain’ How can we leave our readers behind? Some of us are already aware and part of the cryptocurrency world and most of us still have our apprehensions. So, let us join Valerii Babushkin who is head of Data Science at Blockchain and […]. The post The DataHour: Introduction to Blockchain appeared first on Analytics Vidhya.

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Data and Analytics Processes: Can We Get Personal?

David Menninger's Analyst Perspectives

There is a fundamental flaw in information technology, or at least in the way it is most commonly delivered. Most technology systems are developed under the assumption that all people will use the system primarily in the same way. Sure, there are some options built in — perhaps the same action can be initiated by either clicking on a button, selecting a menu item or invoking a keyboard short-cut.

Analytics 130
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The Definitive Guide To Switching Your Career Into Data Science

KDnuggets

Colossal amounts of data need to be dealt with by specialists. It’s no wonder then that the job prospects in this industry are expected to rise much faster than in other occupations.

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Making the most of MLOps

CIO Business Intelligence

When companies first start deploying artificial intelligence and building machine learning projects, the focus tends to be on theory. Is there a model that can provide the necessary results? How can it be built? How can it be trained? But the tools that data scientists use to create these proofs of concept often don’t translate well into production systems.

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State of AI in Sales & Marketing 2025

AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.

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Loan Prediction Problem From Scratch to End

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Loan Prediction Problem Welcome to this article on Loan Prediction Problem. Below is a brief introduction to this topic to get you acquainted with what you will be learning. The Objective of the Article This article is designed for people who […]. The post Loan Prediction Problem From Scratch to End appeared first on Analytics Vidhya.

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How AI Can Supercharge Your Ransomware Defense In 2022?

Smart Data Collective

Human-operated ransomware attacks have threat actors using certain methods to get into your devices. They depend on hands-on-keyboard activities to get into your network. AI can protect you in the event of these and other attacks. Since the decisions are data-driven, you have a lower likelihood of falling victim to attacks. The decisions are based on extensive experimentation and research to improve effectiveness without altering customer experience.

More Trending

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5 ways to reduce compliance costs with AI and automation

CIO Business Intelligence

While regulations are created to protect consumers and markets, they’re often complex, making them costly and challenging to adhere to. Highly regulated industries like Financial Services and Life Sciences have to absorb the most significant compliance costs. Deloitte estimates that compliance costs for banks have increased by 60% since the financial crisis of 2008, and the Risk Management Association found that 50% of financial institutions spend 6 to 10% of their revenues on compliance.

Risk 145
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The Tale of Kubernetes!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. [link] Introduction Kubernetes popularly known as (K8s) is a system for automating deployment, scaling, and managing containerized applications. An application’s containers are grouped into logical units, which can be easily managed and discovered. A key element of Kubernetes is 15 years’ experience running production […].

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How Smart Cities Can Leverage Data Technology to Improve Air Quality

Smart Data Collective

Big data has led to some very important changes in our lives. However, few people realize that data technology is helping solve environmental issues. One of the most stunning facts revealed by the new coronavirus pandemic (COVID-19) has been our acceptance of polluted air. Skies in the world’s largest cities turned a color that astonished many residents when personal vehicle miles plummeted dramatically.

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Machine Learning Is Not Like Your Brain Part Two: Perceptrons vs Neurons

KDnuggets

An ML system requiring thousands of tagged samples is fundamentally different from the mind of a child, which can learn from just a few experiences of untagged data.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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Coding leaders forge a new path for IT career advancement

CIO Business Intelligence

Many of the leaders in the software industry come up from the ranks of working developers. They often want to expand into management as their mastery of technology gives them the confidence, but they don’t want to abandon the practice that frankly brings them fulfillment. . Enter the coding leader. This new kind of leader is responsible for both strategy and being hands-on with the tech and walks in the worlds of business and technology with equal aptitude.

IT 145
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Building a 3D-CNN in TensorFlow

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on 3D-CNN The MNIST dataset classification is considered the hello world program in the domain of computer vision. The MNIST dataset helps beginners to understand the concept and the implementation of Convolutional Neural Networks. Many think of images as just a normal […].

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The Importance of Implementing a Sensible Data Collection Strategy

Smart Data Collective

Data has become one of the most valuable assets to modern organizations. Some companies are still in denial of its importance, but their hesitance to embrace it is subsiding. One poll found that 36% of companies rate big data as “crucial” to their success. However, many companies still struggle to formulate lasting data strategies. One of the biggest problems is that they don’t have reliable data collection approaches.

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Predicting Cryptocurrency Prices Using Regression Models

KDnuggets

In this article, we explore how to get started with the prediction of cryptocurrency prices using multiple linear regression. The factors investigated include predictions on various time intervals as well as the use of various features in the models such as opening price, high price, low price and volume.

Modeling 158
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Zero Trust Mandate: The Realities, Requirements and Roadmap

The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.

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Informatica’s new data management clouds target health, finance services

CIO Business Intelligence

Just after launching a focused data management platform for retail customers in March, enterprise data management vendor Informatica has now released two more industry-specific versions of its Intelligent Data Management Cloud (IDMC) — one for financial services, and the other for health and life sciences. The new, industry-targeted data management platforms — Intelligent Data Management Cloud for Health and Life Sciences and the Intelligent Data Management Cloud for Financial Services — were an

Finance 140
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Organised Preprocessing for Pandas Dataframe

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Preprocessing Preprocessing is an essential step in machine learning. We underestimate preprocessing but in reality, choosing the right preprocessing for our data is equally important as choosing the right model, if not more. Most of the time we go with some […].

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The Role of Blockchain When Buying Bitcoin in 2022

Smart Data Collective

Blockchain is one of the most disruptive technologies of the 21st Century. A growing number of industries are using blockchain to operate more efficiently or boost security. However, blockchain is still most important in the realm of cryptocurrencies. Bitcoin has become very popular since its inception in 2008 and that is largely due to the power of blockchain.

Risk 132
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3 Reasons Why Teamwork is an Essential Skill in Data Science

KDnuggets

This article will discuss 3 important reasons why teamwork is so crucial in real-world data science projects.

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Revolutionize QA: GAPs AI-Driven Accelerators for Smarter, Faster Testing

GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.

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Your New Cloud for AI May Be Inside a Colo

CIO Business Intelligence

Enterprises moving their artificial intelligence projects into full scale development are discovering escalating costs based on initial infrastructure choices. Many companies whose AI model training infrastructure is not proximal to their data lake incur steeper costs as the data sets grow larger and AI models become more complex. The reality is that the cloud is not a hammer that should be used to hit every AI nail.

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15 Most Common Data Science Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source – pinterest.com Introduction Job interviews are…well, hard! Some interviewers ask hard questions while others ask relatively easy questions. As an interviewee, it is your choice to go prepared. And when it comes to a domain like Machine Learning, preparations might fall short. […].

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4 Elements of Success for Companies that Develop Big Data Applications

Smart Data Collective

Big data technology is changing our lives in countless ways. Due to the many benefits that data provides, more companies are investing in it. Global companies are expected to spend over $234 billion by 2026. This is a great opportunity for companies that develop big data applications for customers and businesses alike. If you are interested in creating a successful big data application , then you could have a very profitable business model on your hands.

Big Data 131
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Data Science Projects That Will Land You The Job in 2022

KDnuggets

Project ideas and portfolio tips from a self-taught data scientist.

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The GTM Intelligence Era: ZoomInfo 2025 Customer Impact Report

ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!

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DataKitchen Named a Representative Vendor in the 2022 Gartner® Data and Analytics Essentials: #DataOps Report

DataKitchen

"The goal of DataOps is to enable predictable delivery and change management of data and all data-related artifacts such as data pipelines, data models and semantics". The post DataKitchen Named a Representative Vendor in the 2022 Gartner® Data and Analytics Essentials: #DataOps Report first appeared on DataKitchen.

Reporting 130
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Adding Explainability to Clustering

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The ability to explain decisions is increasingly becoming important across businesses. Explainable AI is no longer just an optional add-on when using ML algorithms for corporate decision making. While there are a lot of techniques that have been developed for supervised algorithms, […].

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How next-gen automation is helping recruiters to identify qualified talent at scale

CIO Business Intelligence

With the Great Resignation showing no signs of letting up, recruiters are looking for all the help they can get to replenish their headcounts with qualified talent. The human resource management (HRM) market – including talent acquisition software and services – is currently valued at nearly $20 billion. It is expected to grow at a rate of over 12% annually until 2028 on the back of continued digitization and automation of recruiting and HR operations.

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Weak Supervision Modeling, Explained

KDnuggets

This article dives into weak supervision modeling and truly understanding the label model.

Modeling 149
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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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What I Learned At Gartner Data & Analytics 2022

Timo Elliott

I was at the Gartner Data & Analytics conference in London a couple of weeks ago and I’d like to share some thoughts on what I think was interesting, and what I think I learned…. First, data is by default, and by definition, a liability , because it costs money and has risks associated with it. To turn data into an asset , you actually have to do something with it and drive the business.

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Comparison of the RMS Energy and the Amplitude Envelope

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Have you ever wondered what an audio’s Amplitude Envelope and RMS energy are? And, if you had to choose, which of these do you believe would be most resilient to outliers? If these questions pique your interest, then this article is for […]. The post Comparison of the RMS Energy and the Amplitude Envelope appeared first on Analytics Vidhya.

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Let’s meet! Virtually, in-person, or somewhere in between?

CIO Business Intelligence

The United States seem to have a love/hate relationship with video conferencing. Almost everyone has used it (or at least 81%, according to the Pew Research Center ) but few seem to relish the experience. Many formerly in-person events from team meetings to conferences transitioned to virtual events and many companies seem conflicted on if, when or how they can get everyone back to the office.

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Data Science, Statistics and Machine Learning Dictionary

KDnuggets

Check out this curated list of the most used data science terminology and get a leg up on your learning.

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15 Modern Use Cases for Enterprise Business Intelligence

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?