Sat.Apr 02, 2022 - Fri.Apr 08, 2022

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Innovative Applications of Machine Learning in Healthcare Domain

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Nowadays, Machine learning is being used in various areas in the health business, including the development of improved medical processes, the management of patient records and data, and the treatment of chronic diseases. Healthcare firms may use machine learning to meet rising demand, […].

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‘The key is the cloud’: How to keep up with the speed of innovation

CIO Business Intelligence

At DISH Network , cloud-adoption strategies vary by when the parts of its business started – from those born in the cloud to legacy sectors deploying cloud on an opportunistic basis. But one thing is clear to Atilla Tinic, the company’s EVP and CIO: “I do think the key is the cloud.” He added: “The strategy around cloud is not ROI on a case-by-case basis.

B2B 131
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Naïve Bayes Algorithm: Everything You Need to Know

KDnuggets

Naïve Bayes is a probabilistic machine learning algorithm based on the Bayes Theorem, used in a wide variety of classification tasks. In this article, we will understand the Naïve Bayes algorithm and all essential concepts so that there is no room for doubts in understanding.

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10 Important Ways Data Visualization Can Benefit Your Content Strategy

Smart Data Collective

Data visualization has become a major part of life for those looking to make use of the large swathes of data available in the modern world. As important as this data is, understanding and making use of that data is even more important. That’s where data visualization comes in. Data visualization is, to put it simply, converting hard data and lists of numbers or facts, into an easier to comprehend form.

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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?

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Building Vehicle Counter System Using OpenCV

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we are going to build a vehicle counter system using OpenCV in Python using the concept of Euclidean distance tracking and contours. In the last article, we talked about object detection in OpenCV using haar cascades, if you haven’t […]. The post Building Vehicle Counter System Using OpenCV appeared first on Analytics Vidhya.

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AI takes aim at employee turnover

CIO Business Intelligence

Employees are quitting jobs at record rates and companies are having a hard time luring them back. Exacerbating the problem is the fact that employees are now frequently working from home, making it harder for managers to identify employees who are unhappy. Plus, getting new hires up to speed is more challenging when they can’t attend in-person training sessions or shadow experienced employees.

More Trending

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The 7 Myths of MLOps

Dataiku

MLOps is a term that is gaining a lot of traction, but definitions of the concept remain blurry and many misleading myths are circulating. In “The 7 Myths of MLOps,” a recent Dataiku Product Days session, we have aimed to set the record straight with some reality checks and myth-busting. This blog recaps the useful information revealed in the session.

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Population Health Analytics with AWS HealthLake and QuickSight

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Healthcare Data using AI Medical Interoperability and machine learning (ML) are two remarkable innovations that are disrupting the healthcare industry. Medical Interoperability is the ability to integrate and share secure healthcare information promptly across multiple systems. Medical Interoperability along with AI & Machine Learning […].

Analytics 385
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Supply chain woes? Analytics may be the answer

CIO Business Intelligence

Supply chain woes continue to plague organizations around the world and in virtually all sectors. For some, leveraging data and analytics tools is proving to be an effective way to address the challenges. Disruptions to global supply chains due to the COVID-19 pandemic have been significant. As consulting firm Deloitte notes, the free movement and operation of people, raw materials, finished goods, and factory operations have been stymied.

Analytics 145
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4 Factors to Identify Machine Learning Solvable Problems

KDnuggets

The near future holds incredible possibility for machine learning to solve real world problems. But we need to be be able to determine which problems are solvable by ML and which are not.

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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What Are the Best Methods To Keep Online Data Safe?

Smart Data Collective

Although we’re only a few months into 2022, this year has already seen massive cyberattacks, huge ransomware payouts, and data breaches never witnessed before. On average, damages due to cyberattacks are growing by 15% per year, with a predicted total value of $10.5 trillion lost each year by 2025. Across the different formats of cybercrime, one continual contender is data breaches, with 60% of businesses that experience any form of data breach going out of business in the following six months.

Testing 129
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Understand the Workings of Power BI

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction BI tools, including software services, apps, and data connectors, make up the Microsoft Power BI portfolio. Data from many sources are combined into a single dataset in this cloud-based platform. These data sets create shareable reports, dashboards, and apps for data visualization, evaluation, […].

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Web accessibility emerges as a top CIO priority

CIO Business Intelligence

The list of tasks facing enterprise CIOs today is so long that it can be tempting to overlook the little things—like making sure the alt text on your website works correctly. But CIOs increasingly ignore such details at their peril: 11 lawsuits are filed every day in U.S. courts over website inaccessibility. And 412 of the top 500 internet retailers have been party to at least one lawsuit over the last four years alleging that their websites discriminate against users with disabilities.

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Data Science Interview Guide – Part 1: The Structure

KDnuggets

According to one source, the types of questions that will generally be asked in data scientist interviews can be broken down into five categories. Let's take a closer look.

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Marketing Operations in 2025: A New Framework for Success

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.

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Search Engine Marketers Without Data Analytics Knowledge Are Obsolete

Smart Data Collective

Data analytics has led to a huge shift in the marketing profession. A large part of this is due to advances in digital marketing. Digital marketers have an easier time compiling data on customer engagements, because most behavior and variables can be easily tracked. This is particularly true for search engine marketers. Earlier this year, VentureBeat published an article titled How data science can boost SEO strategy.

Marketing 128
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Data Science Blogathon 19th Edition

Analytics Vidhya

“The World is One Big Data Problem” – Andrew McAfee. Analytics Vidhya is back with its 19th Edition of the Data Science Blogathon which is live from TODAY! So the wait is over, click here to Register Now! Introduction The Data Science Blogathon by Analytics Vidhya began with a simple mission: To bring together […]. The post Data Science Blogathon 19th Edition appeared first on Analytics Vidhya.

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IBM’s z16 mainframe boasts on-chip AI acceleration

CIO Business Intelligence

IBM is refreshing its mainframe range, putting an AI accelerator on the processor and surrounding it with new cryptographic features the company says will help protect today’s data against the quantum computing attacks of the future. Slated to be available May 31, 2022, the IBM z16 will offer CIOs a way to deploy AI inferencing in the same secure environment, and at the same speed, as their transaction processing.

Insurance 134
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The Complete Collection Of Data Repositories – Part 1

KDnuggets

Check out the collection of the best data repositories on agriculture, audio, biology, climate, computer vision, economics, education, energy, finance, and government.

Finance 156
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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.

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5 Hardware Accelerators Every Data Scientist Should Leverage

Smart Data Collective

The data science profession has become highly complex in recent years. Data science companies are taking new initiatives to streamline many of their core functions and minimize some of the more common issues that they face. They are using tools like Amazon SageMaker to take advantage of more powerful machine learning capabilities. Amazon SageMaker is a hardware accelerator platform that uses cloud-based machine learning technology.

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Recurrent Neural Networks: Digging a bit deeper

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In the former article, we looked at how RNNs are different from standard NN and what was the reason behind using this algorithm. In this article we will dig a bit deeper into RNN, we will see the mathematical details and try to […]. The post Recurrent Neural Networks: Digging a bit deeper appeared first on Analytics Vidhya.

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The pandemic pivot: 5 key leadership lessons that will last

CIO Business Intelligence

Two years after a global pandemic first shut down the world — and IT departments took a leading role in maintaining businesses’ survival — the IT function has been changed forever. As the dust has settled, many tech leaders have found that changes they were forced to make to their work strategies, leadership styles, and team structures have turned out to be team-transforming epiphanies that will endure going forward.

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Data Ingestion with Pandas: A Beginner Tutorial

KDnuggets

Learn tricks on importing various data formats using Pandas with a few lines of code. We will be learning to import SQL databases, Excel sheets, HTML tables, CSV, and JSON files with examples.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

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.

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What Data Methods Can Businesses Invest In to Get Better Consumer Results?

Smart Data Collective

There is no doubt that big data is important in many organizations. Over 65% of large companies invested over $50 million in big data in 2020. That figure is growing faster in recent years. Data. The word gets used so often that it’s become vague. You are talking about data, sure, but what kind of data ? Finding the right data sets and knowing how to use them is key to any data implementation strategy.

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Exploratory Data Analysis (EDA) in Python

Analytics Vidhya

Introduction Exploratory Data Analysis is a method of evaluating or comprehending data in order to derive insights or key characteristics. EDA can be divided into two categories: graphical analysis and non-graphical analysis. EDA is a critical component of any data science or machine learning process. You must explore the data, understand the relationships between variables, […].

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7 tips for leading productive remote teams

CIO Business Intelligence

The COVID-19 pandemic has caused a massive diaspora from the office, at least for knowledge workers. According to a recent study, a quarter of all high-paying jobs will be remote in the next 12 months. This has the potential to create massive change not only to society, real estate markets, and urban centers but also to the way you manage a team. Keeping a remote — or hybrid — IT team productive is very different from managing a team that shows up to the office every day.

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Neural Network Optimization with AIMET

KDnuggets

Using AIMET, developers can incorporate advanced model compression and quantization algorithms into their PyTorch and TensorFlow model-building pipelines for automated post-training optimization, as well as for model fine-tuning.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

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.

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AI Technology is Essential for Online Fraud Prevention

Smart Data Collective

Online fraud is growing at a frightening pace. Many cybercriminals believe they can con eCommerce stores out of their cash and never be caught because they are operating over the internet. One particular scam called fraudulent Buy Online Return In-Store (BORIS) is thought to have cost retailers a staggering $1.6 billion last year. However, new advances in AI are changing this situation.

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An Introduction to Creating Stylized Sketches of Faces using JojoGAN

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Style transfer is a developing field in neural networks and it is a very useful feature that can be integrated into social media and AI apps. Several neural networks can map and transfer image styles to an input image as per the training […]. The post An Introduction to Creating Stylized Sketches of Faces using JojoGAN appeared first on Analytics Vidhya.

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The CIO’s missing priority

CIO Business Intelligence

Want to survive as CIO? You need the right priorities. And for most CIOs, at this precise moment, your average CIO’s top 5 priorities are: Security. Security. Security. Security. Not to mention security. Notice what’s missing? If your answer is “everything is missing,” go to the head of the class. Security is, for today’s CIO, a two-edged blade. One sharp edge is underinvesting in security.

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DBSCAN Clustering Algorithm in Machine Learning

KDnuggets

An introduction to the DBSCAN algorithm and its implementation in Python.

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Data Modeling for Direct Mail: Boosting Multi-Channel Reach and Response

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.