Analytics Vidhya
MARCH 14, 2022
This article was published as a part of the Data Science Blogathon. Here we’re going to summarize a convolutional-network architecture called densely-connected-convolutional networks or DenseNet. So the problem that they’re trying to solve with the density of architecture is to increase the depth of the convolutional neural network. Source Wikipedia Here we first learn about what […].
David Menninger's Analyst Perspectives
MARCH 17, 2022
Organizations face various challenges with analytics and business intelligence processes, including data curation and modeling across disparate sources and data warehouses, maintaining data quality and ensuring security and governance. Traditional processes are slow when transforming large and diverse datasets into something which is easily consumable in BI.
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CIO Business Intelligence
MARCH 15, 2022
Synthetic data defined. Synthetic data is artificially generated information that can be used in place of real historic data to train AI models when actual data sets are lacking in quality, volume, or variety. Synthetic data can also be a vital tool for enterprise AI efforts when available data doesn’t meet business needs or could create privacy issues if used to train machine learning models, test software, or the like.
KDnuggets
MARCH 15, 2022
This article discusses and demonstrates how to quickly engineer some common date features using Python.
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.
Analytics Vidhya
MARCH 17, 2022
This article was published as a part of the Data Science Blogathon. Photo by Kanchanara on Unsplash Table of Contents Introduction Gentle Overview What is Time Series Analysis? Types of analysis ARIMA Moving Average Exponential Smoothing Heard of DogeCoin? Implementation of Dogecoin price prediction Conclusion Introduction Machine learning will automate jobs that most people thought could […].
Smart Data Collective
MARCH 14, 2022
Big data is a tool typically talked about in the context of the benefits it provides for larger organizations, and yet it is also within reach of small businesses as well. A wealth of tools and solutions that bring big data to up-and-coming companies are available, so let’s go over the most impactful and practical applications these can achieve. Delivery Route Planning for Teams Of Drivers.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
KDnuggets
MARCH 14, 2022
In this article, we will be going through the algorithms that can be used for classification tasks.
Analytics Vidhya
MARCH 14, 2022
This article was published as a part of the Data Science Blogathon. Introduction Python is an excellent programming language to automate stuff. It has many libraries that can be used to create awesome reusable codes. One such library is python-Docx. The library can be used extensively for document processing like – 1. Adding heading 2. Reading […].
TDAN
MARCH 15, 2022
This isn’t the column I was intending to write for TDAN.com. I had something else nearly ready that was expanding on the broad questions of ethics in information and data management I discussed last time, drawing on some work I’m doing with an international client and a recent roundtable discussion I had with some regulators […].
CIO Business Intelligence
MARCH 17, 2022
Data analytics is a domain in constant motion. Early in 2020, it seemed clear that organizations would continue to invest heavily in analytics to support their digital transformations. The COVID-19 pandemic emerged as a major disruptor. Early in the pandemic, it seemed organizations might waylay data and analytics advancements to retrench and focused on other pressing priorities like enabling a remote workforce.
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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?
KDnuggets
MARCH 15, 2022
Also: Decision Tree Algorithm, Explained; The Complete Collection of Data Science Cheat Sheets – Part 2; Top Programming Languages and Their Uses; The Complete Collection of Data Science Cheat Sheets – Part 1.
Analytics Vidhya
MARCH 15, 2022
This article was published as a part of the Data Science Blogathon. Overview In this article, we will be making an application that will remove or replace the background of the image with another image. For that, we will be using the media pipe library for segmenting the person from the background and cv2 for performing […]. The post Background Removal in the Image using the Mediapipe Library appeared first on Analytics Vidhya.
Smart Data Collective
MARCH 16, 2022
Did you know that 42% of businesses were affected by cyberattacks in 2020 ? That figure is going to rise as cybercriminals use AI to attack businesses more efficiently. Artificial intelligence technology has led to some tremendous advances that have changed the state of cybersecurity. Cybersecurity professionals are leveraging AI technology to fight hackers.
CIO Business Intelligence
MARCH 14, 2022
IT retention in healthcare has long been full of aches and pains because of the deep skillset required, but David Reis has been lucky. Reis, CIO at the University of Miami Health System and Miller School of Medicine, has been able to grow his head count during both the pandemic and the Great Resignation, a feat he attributes to the fact that people who work in healthcare tend to be mission-driven.
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📌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.
KDnuggets
MARCH 16, 2022
The best knowledge is still placed in the libraries; within books. In this article, discover some of the top recommended Data Science books catering to beginners.
Analytics Vidhya
MARCH 15, 2022
This article was published as a part of the Data Science Blogathon. Prelude People like being people. They don’t care what content they are producing. So there can be abusive, illegal, sensitive, and scam content too which is highly dangerous to society and can have an adverse effect. Thus platforms such as youtube, Meta, Twitter spend […].
Smart Data Collective
MARCH 14, 2022
Blockchain technology has had a huge impact on the financial sector. Although many traditional financial institutions like Bank of America use blockchain , it is still mostly used for cryptocurrency transactions. The benefits of the blockchain network are soon going to be put to the test. There are indicators that Russia is going to start moving towards cryptocurrencies in response to recent sanctions.
CIO Business Intelligence
MARCH 15, 2022
IT leaders have a unique vantage point. They are the only business function that sees the entire organization at a process, data, and transaction level. This cross-functional and multi-dimensional view provides IT with the opportunity to identify cross-departmental process and technology synergies, use internal technologies designed for one part of the organization in other areas with similar operational needs, and assess newly released software and hardware products for applicability across th
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.
KDnuggets
MARCH 18, 2022
Real-time AI/ML is on the rise and feature stores are key to successfully deploying them. Read on to see how the choice of online store and the feature store architecture play important roles in determining its performance and cost.
Analytics Vidhya
MARCH 16, 2022
This article was published as a part of the Data Science Blogathon. A Deep Belief Network (DBN) is a sophisticated generative model that employs a deep architecture. In this article, we are going to learn all about it. After reading this article, you will have a better understanding of what a Deep Belief Network is, how […]. The post An Overview of Deep Belief Network (DBN) in Deep Learning appeared first on Analytics Vidhya.
Smart Data Collective
MARCH 16, 2022
Have you ever heard of blockchain? It is the ledger and authentication system behind the bitcoin network. Blockchain is the reason that bitcoin become a sustainable digital coin, unlike many of the other digital coins that came before it. Many companies have used the blockchain system to create tertiary services, such as bitcoin wallets. Bitcoin wallets are essentially blockchain wallets that are capable of holding digital coins.
CIO Business Intelligence
MARCH 16, 2022
The days of one-off change management initiatives are over. Rather than tackle organizational change management with an end in mind, IT leaders and their organizations must now exist in an environment of persistent flux. . “In this era of continuous disruption, the goal should not be to build an organization that reacts quickly to change. Nor should it only be to build an organization that is almost impervious to disruption,” says Kevin Martin, chief research officer at the Institute for Corpora
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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.
KDnuggets
MARCH 17, 2022
Check out this article on using CTGANs to create synthetic datasets for reducing privacy risks, training and testing machine learning models, and developing data-centric AI products.
Analytics Vidhya
MARCH 15, 2022
This article was published as a part of the Data Science Blogathon. Overview 1. Introduction 2. What are recommendation engines? 3. Types of recommendation systems a. Content-Based filtering b. Collaborative filtering c. Hybrid filtering 4. Why content-based filtering is not used on a large scale? 5. Recommendation engine algorithms 6. How to solve recommender system problems?
Smart Data Collective
MARCH 16, 2022
Last year, in an article that talked about the impact big data has on finance, we said that location data sets can make investing easier. Companies spent nearly $11 billion on financial analytics in 2020. A large portion of this market is driven by investment companies and mutual funds. This is because accurate data about consumer movement can help you know about consumer trends and corresponding market movements.
CIO Business Intelligence
MARCH 18, 2022
The move to the cloud has forced many CIOs to change how they think about security. Since much of the responsibility to secure infrastructure is now outsourced to cloud providers, CIOs need to focus higher in the stack to ensure that configurations are correct and data is not inadvertently exposed. As you assess your operations for vulnerabilities, there are three factors that can increase the chances of employees inadvertently leaving the front door of your infrastructure open: 1.
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
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.
KDnuggets
MARCH 17, 2022
How will AI and data science impact the world of business in the next decade? Find out what trends to look out for in 2022 and beyond at NVIDIA GTC.
Analytics Vidhya
MARCH 16, 2022
This article was published as a part of the Data Science Blogathon. Hello all, welcome to a wonderful article where we will be exploring learnings for audio and sound classification using Machine learning and deep learning. It is amazing and interesting to know-how machines are capable to understand human language, and responding in the same human […].
Smart Data Collective
MARCH 14, 2022
Data analytics technology is becoming a more important aspect of business models in all industries. SaaS companies are no exception. They need to leverage analytics strategically to maximize their revenue. Data Analytics is an Invaluable Part of SaaS Revenue Optimization. The importance of customer loyalty and customer service has become increasingly well-known and companies have needed to adapt their business models accordingly to gain a competitive edge.
CIO Business Intelligence
MARCH 16, 2022
There are signs of a growing divide between business leaders and workers on the issue of hybrid and remote work, according to a new study commissioned by Microsoft — and the onus could fall on CIOs to help deliver communication tools that give remote workers an in-office experience, and a digital workplace that makes the commute worth it. “Employees all around the world are redefining what we’re calling their ‘worth it’ equation; that is, what they want from work and what they’re willing to give
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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