Search results for Technology Risk Management

Found 191 documents, 5922 searched:

• The Top 8 Cloud Container Management Solutions of 2024

  As enterprises rapidly adopt cloud-native technologies, managing containerized applications has become crucial, so this article provides practical insights on the leading container management solutions to help organizations choose the right one for their needs.

  https://www.kdnuggets.com/the-top-8-cloud-container-management-solutions-of-2024

• 2024 Data Management Crystal Ball: Top 4 Emerging Trends

  These are my predictions based on my personal experiences, recent research and reports from leading platforms.

  https://www.kdnuggets.com/2023/08/2024-data-management-crystal-ball-top-4-emerging-trends.html

• 5 Data Management Challenges with Solutions

  This report provides an overview of the challenges that arise in data management and the solutions that can help overcome these challenges.

  https://www.kdnuggets.com/2023/04/5-data-management-challenges-solutions.html

• How Watermarking Can Help Mitigate The Potential Risks Of LLMs?

  Adding embedding signals into generated text can help mitigate potential risks of plagiarism, misinformation, and abuse in large language models.

  https://www.kdnuggets.com/2023/03/watermarking-help-mitigate-potential-risks-llms.html

• Risk Management Framework for AI/ML Models

  How sound risk management acts as a catalyst to building successful AI/ML models.

  https://www.kdnuggets.com/2022/03/risk-management-framework-aiml-models.html

• AI, Analytics, Machine Learning, Data Science, Deep Learning Technology Main Developments in 2019 and Key Trends for 2020">AI, Analytics, Machine Learning, Data Science, Deep Learning Technology Main Developments in 2019 and Key Trends for 2020

  We asked leading experts - what are the most important developments of 2019 and 2020 key trends in AI, Analytics, Machine Learning, Data Science, and Deep Learning? This blog focuses mainly on technology and deployment.

  https://www.kdnuggets.com/2019/12/predictions-ai-machine-learning-data-science-technology.html

• Optimization with Python: How to make the most amount of money with the least amount of risk?

  Learn how to apply Python data science libraries to develop a simple optimization problem based on a Nobel-prize winning economic theory for maximizing investment profits while minimizing risk.

  https://www.kdnuggets.com/2019/06/optimization-python-money-risk.html

• Top 10 Technology Trends of 2018">Top 10 Technology Trends of 2018

  In this article, we will focus on the modern trends that took off well on the market by the end of 2017 and discuss the major breakthroughs expected in 2018.

  https://www.kdnuggets.com/2018/04/top-10-technology-trends-2018.html

• New Book: Credit risk analytics, The R Companion

  Credit risk analytics in R will enable you to build credit risk models from start to finish, with access to real credit data on accompanying website, you will master a wide range of applications.

  https://www.kdnuggets.com/2018/03/baesens-book-credit-risk-analytics-r.html

• Advantages and Risks of Self-Service Analytics

  Self-service analytics is likely to spread in all the business layers, and with proper care to avoid certain risks, the culture of self-service analytics will help all organizations.

  https://www.kdnuggets.com/2016/04/advantages-risks-self-service-analytics.html

• Risk Analysis and Credit Scoring

  Algolytics, offers analytical solutions for financial institutions, including Credit Scoring, Fraud Detection, and Survival Time Analysis. ArrowModel, an integrated scoring environment, which combines powerful statistical Read more »

  https://www.kdnuggets.com/solutions/risk-analysis-credit-scoring.html

• Natural Language Processing: Bridging Human Communication with AI

  The post highlights real-world examples of NLP use cases across industries. It also covers NLP's objectives, challenges, and latest research developments.

  https://www.kdnuggets.com/natural-language-processing-bridging-human-communication-with-ai

• Job Trends in Data Analytics: Part 2

  Check out these skillsets in demand for the data analytics job market.

  https://www.kdnuggets.com/job-trends-in-data-analytics-part-2

• Top Companies in India to Consider for Employment

  If you’re looking for a job, want to shift careers, or start a new chapter and currently reside in India. Check out these top 7 companies to consider for employment in India for 2023/24.

  https://www.kdnuggets.com/top-companies-in-india-to-consider-for-employment

• Data Science Methods Drive Business Success

  Northwestern University's MSDS students seeking technology leadership and management positions can build not only high-level statistical and analytical expertise, but also the broad organizational skills needed to implement reliable, data-driven decisions.

  https://www.kdnuggets.com/2023/10/nwu-data-science-methods-drive-business-success

• 40% of Labour Force Will be Affected by AI in 3 Years

  What should we expect in the next 3 years due to the generative AI boom?

  https://www.kdnuggets.com/40-of-labour-force-will-be-affected-by-ai-in-3-years

• Data Visualization: Presenting Complex Information Effectively

  Learn how to present complex information effectively with data visualization.

  https://www.kdnuggets.com/data-visualization-presenting-complex-information-effectively

• Investing In AI? Here Is What To Consider

  Everything you need to know about investing in AI initiatives.

  https://www.kdnuggets.com/investing-in-ai-here-is-what-to-consider

• The Data Maturity Pyramid: From Reporting to a Proactive Intelligent Data Platform

  This article describes the data maturity pyramid and its various levels, from simple reporting to AI-ready data platforms. It emphasizes the importance of data for business and illustrates how data platforms serve as the driving force behind AI.

  https://www.kdnuggets.com/the-data-maturity-pyramid-from-reporting-to-a-proactive-intelligent-data-platform

• Gartner Hype Cycle for AI in 2023

  Let’s dive into how the AI landscape has rapidly evolved with the advent of new Generative AI technologies.

  https://www.kdnuggets.com/gartner-hype-cycle-for-ai-in-2023

• 5 Portfolio Projects for Final Year Data Science Students

  From cleaning data to wowing recruiters - this blog shares 5 killer data science projects to launch your data science career and get hired!

  https://www.kdnuggets.com/5-portfolio-projects-for-final-year-data-science-students

• Who Will Make Money from the Generative AI Gold Rush?

  Buckle up for the Generative AI gold rush! Will BigTech rule with its picks and shovels? Which startups will strike it rich? Will “copilot for X” be the business strategy to hit pay dirt? How can startups dig moats to keep out other prospectors? And will the US once again have the richest gold seams?

  https://www.kdnuggets.com/2023/08/make-money-generative-ai-gold-rush.html

• 5 Skills All Marketing Analytics and Data Science Pros Need Today

  Join us at the MADS conference in Washington, D.C., from Sept. 26 to 28, 2023. Learn more below and register with code KDN100 for $100 off your conference pass.

  https://www.kdnuggets.com/2023/08/mads-5-skills-marketing-analytics-data-science-pros-need-today.html

• Things You Should Know When Scaling Your Web Data-Driven Product

  Scaling your data-driven product helps grow your business, but it requires certain expertise. In this article, you will learn how scaling works and what to keep in mind while doing it.

  https://www.kdnuggets.com/2023/08/things-know-scaling-web-datadriven-product.html

• Python Vector Databases and Vector Indexes: Architecting LLM Apps

  Vector databases enable fast similarity search and scale across data points. For LLM apps, vector indexes can simplify architecture over full vector databases by attaching vectors to existing storage. Choosing indexes vs databases depends on specialized needs, existing infrastructure, and broader enterprise requirements.

  https://www.kdnuggets.com/2023/08/python-vector-databases-vector-indexes-architecting-llm-apps.html

• A Comprehensive Guide to MLOps

  Machine Learning Operations (MLOps) is a relatively new discipline that provides the structure and support necessary for machine learning (ML) models to thrive in production environments.

  https://www.kdnuggets.com/2023/08/comprehensive-guide-mlops.html

• Introduction to Data Science: A Beginner’s Guide

  This article is a guide for new data scientists, and it's designed to help you get started quickly. It's meant to be a starting point, but if you're already in the market for a new job, you may want to read this article more.

  https://www.kdnuggets.com/2023/07/introduction-data-science-beginner-guide.html

• What is Superalignment & Why It is Important?

  Addressing the potential risks associated with superintelligence systems.

  https://www.kdnuggets.com/2023/07/superalignment-important.html

• ChatGPT Dethroned: How Claude Became the New AI Leader

  Putting the world to shame.

  https://www.kdnuggets.com/2023/07/chatgpt-dethroned-claude-became-new-ai-leader.html

• Evolution of the Data Landscape

  The article follows the story of evolution in the data space through the lens of evolutionary patterns. It talks of the state of significant milestones in the evolutionary journey, their achievements, challenges, and the next milestone that solved those challenges. The article comes from both a business and technical perspective, owing to the persona of the authors.

  https://www.kdnuggets.com/2023/06/evolution-data-landscape.html

• 7 Ways ChatGPT Makes You Code Better and Faster

  From project planning to producing production-ready code, ChatGPT is your trusty companion throughout the entire development process, offering valuable assistance every step of the way.

  https://www.kdnuggets.com/2023/06/7-ways-chatgpt-makes-code-better-faster.html

• Breaking Down AutoGPT

  AutoGPT has taken the world by storm and has even surpassed ChatGPT itself. So, get ready to dive into the exciting world of Auto-GPT.

  https://www.kdnuggets.com/2023/05/breaking-autogpt.html

• Data Masking: The Core of Ensuring GDPR and other Regulatory Compliance Strategies

  This article has provided an overview of data masking and its importance in ensuring compliance with GDPR and other global regulations.

  https://www.kdnuggets.com/2023/05/data-masking-core-ensuring-gdpr-regulatory-compliance-strategies.html

• Data Analytics: The Four Approaches to Analyzing Data and How To Use Them Effectively

  You will learn about descriptive analytics, data warehousing, machine learning, and big data.

  https://www.kdnuggets.com/2023/04/data-analytics-four-approaches-analyzing-data-effectively.html

• 11 Best Practices of Cloud and Data Migration to AWS Cloud

  list of Best Practices compiled from our learnings during our migration journey to the AWS cloud.

  https://www.kdnuggets.com/2023/04/11-best-practices-cloud-data-migration-aws-cloud.html

• Post GPT-4: Answering Most Asked Questions About AI

  Is AI overhyped, or is there a valid reason to be afraid?

  https://www.kdnuggets.com/2023/04/post-gpt4-answering-asked-questions-ai.html

• Master the Power of Data Analytics: The Four Approaches to Analyzing Data

  Learn about descriptive analytics, data warehousing, machine learning, and big data.

  https://www.kdnuggets.com/2023/03/master-power-data-analytics-four-approaches-analyzing-data.html

• Why TinyML Cases Are Becoming Popular?

  This article will provide an overview of what TinyML is, its use cases, and why it is becoming more popular.

  https://www.kdnuggets.com/2022/10/tinyml-cases-becoming-popular.html

• The Machine Learning Lifecycle

  Learn about the standard process for building sustainable machine learning applications.

  https://www.kdnuggets.com/2022/06/making-sense-crispmlq-machine-learning-lifecycle-process.html

• 7 Machine Learning Portfolio Projects to Boost the Resume

  Work on machine learning and deep learning portfolio projects to learn new skills and improve your chance of getting hired.

  https://www.kdnuggets.com/2022/09/7-machine-learning-portfolio-projects-boost-resume.html

• Machine Learning in the Enterprise: Use Cases & Challenges

  This article provides insights into how leading data scientists are embracing machine learning in their organizations and covers some of the major ML challenges and trends in the enterprise.

  https://www.kdnuggets.com/2022/08/dss-machine-learning-enterprise-cases-challenges.html

• How to Package and Distribute Machine Learning Models with MLFlow

  MLFlow is a tool to manage the end-to-end lifecycle of a Machine Learning model. Likewise, the installation and configuration of an MLFlow service is addressed and examples are added on how to generate and share projects with MLFlow.

  https://www.kdnuggets.com/2022/08/package-distribute-machine-learning-models-mlflow.html

• 6 Ways Businesses Can Benefit From Machine Learning

  Machine learning is gaining popularity rapidly in the business world. Discover the ways that your business can benefit from machine learning.

  https://www.kdnuggets.com/2022/08/6-ways-businesses-benefit-machine-learning.html

• Where Does Data Come From?

  In this article, we will go over the top five ways to collect or receive data, whether to help optimize an AI-driven machine or simply forecast future consumer demand.

  https://www.kdnuggets.com/2022/08/data-come.html

• Full Stack Everything? Organizational Intersections Between Data Science, Dev & Tech

  Breakthrough value is found when teams collaborate at their intersections to come up with innovative solutions.

  https://www.kdnuggets.com/2022/08/full-stack-everything-organizational-intersections-data-science-dev-tech.html

• How ML Model Explainability Accelerates the AI Adoption Journey for Financial Services

  Explainability and good model governance reduce risk and create the framework for ethical and transparent AI in financial services that eliminates bias.

  https://www.kdnuggets.com/2022/07/ml-model-explainability-accelerates-ai-adoption-journey-financial-services.html

• MLOps: The Key To Pushing AI Into The Mainstream

  In this blog, we will aim at discussing the reasons that make MLOps an essential aspect of pushing AI mainstream. Besides, we will highlight the capabilities of MLOps as a catalyst for AI implementation.

  https://www.kdnuggets.com/2022/07/mlops-key-pushing-ai-mainstream.html

• The Complete Collection of Data Science Interviews – Part 2

  The second part covers the list of Data Management, Data Engineering, Machine Learning, Deep Learning, Natural Language Processing, MLOps, Cloud Computing, and AI Manager interview questions.

  https://www.kdnuggets.com/2022/06/complete-collection-data-science-interviews-part-2.html

• Top 15 Books to Master Data Strategy

  In this article, we outline 15 books on topics ranging from the technical to the non-technical, to help you improve your understanding of end-to-end best practices related to data.

  https://www.kdnuggets.com/2022/06/top-15-books-master-data-strategy.html

• How is Data Mining Different from Machine Learning?

  How about we take a closer look at data mining and machine learning so we know how to catch their different ends?

  https://www.kdnuggets.com/2022/06/data-mining-different-machine-learning.html

• Top Industries and Employers Hiring Data Scientists in 2022

  This article presents the top industries and companies that are currently actively hiring data scientists.

  https://www.kdnuggets.com/2022/06/top-industries-employers-hiring-data-scientists-2022.html

• The Complete Collection of Data Science Books – Part 2

  Read the best books on Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, MLOps, Robotics, IoT, AI Products Management, and Data Science for Executives.

  https://www.kdnuggets.com/2022/05/complete-collection-data-science-books-part-2.html

• 5 Key Components of a Data Sharing Platform

  Read this article for an overview of what the components of a data-sharing platform are.

  https://www.kdnuggets.com/2022/05/5-key-components-data-sharing-platform.html

• How Has the Adoption of AI in Algorithmic Trading Affected the Finance Industry?

  Algorithmic trading is the execution of trading operations according to a given algorithm. Read on to find out more.

  https://www.kdnuggets.com/2022/04/adoption-ai-algorithmic-trading-affected-finance-industry.html

• How to Generate Synthetic Tabular Dataset

  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.

  https://www.kdnuggets.com/2022/03/generate-tabular-synthetic-dataset.html

• How To Use Synthetic Data To Overcome Data Shortages For Machine Learning Model Training

  It takes time and considerable resources to collect, document, and clean data before it can be used. But there is a way to address this challenge – by using synthetic data.

  https://www.kdnuggets.com/2022/03/synthetic-data-overcome-data-shortages-machine-learning-model-training.html

• Data-Centric AI: The Latest Research You Need to Know

  While a vast majority of research efforts today are preoccupied solely with ML models and algorithms, the data itself tends to be secondary and is treated as fixed. This claim is potentially detrimental.

  https://www.kdnuggets.com/2022/02/datacentric-ai-latest-research-need-know.html

• Data Quality: The Good, The Bad, and The Ugly

  Incorrect or unclean data leads to false conclusions. The time you take to understand and clean the data is vital to the outcome and quality of the results. Data Quality always takes the win against complex fancy algorithms.

  https://www.kdnuggets.com/2022/01/data-quality-good-bad-ugly.html

• 10 Key AI & Data Analytics Trends for 2022 and Beyond

  What AI and data analytics trends are taking the industry by storm this year? This comprehensive review highlights upcoming directions in AI to carefully watch and consider implementing in your personal work or organization.

  https://www.kdnuggets.com/2021/12/10-key-ai-trends-for-2022.html

• Data Science & Analytics Industry Main Developments in 2021 and Key Trends for 2022

  We have solicited insights from experts at industry-leading companies, asking: "What were the main AI, Data Science, Machine Learning Developments in 2021 and what key trends do you expect in 2022?" Read their opinions here.

  https://www.kdnuggets.com/2021/12/developments-predictions-data-science-analytics-industry.html

• Machine Learning Model Development and Model Operations: Principles and Practices">Machine Learning Model Development and Model Operations: Principles and Practices

  The ML model management and the delivery of highly performing model is as important as the initial build of the model by choosing right dataset. The concepts around model retraining, model versioning, model deployment and model monitoring are the basis for machine learning operations (MLOps) that helps the data science teams deliver highly performing models.

  https://www.kdnuggets.com/2021/10/machine-learning-model-development-operations-principles-practice.html

• Choose The Right Job in Data: 5 Signs To Look For In An Engineering Culture

  Software engineers seeking jobs at data companies face a new problem: choosing the right job out of all the options. Learn the 5 signs that signal an agile and innovative engineering culture.

  https://www.kdnuggets.com/2021/10/choose-right-job-data-signs-engineering-culture.html

• Building and Operationalizing Machine Learning Models: Three tips for success

  With more enterprises implementing machine learning to improve revenue and operations, properly operationalizing the ML lifecycle in a holistic way is crucial for data teams to make their projects efficient and effective.

  https://www.kdnuggets.com/2021/10/building-operationalizing-machine-learning-models.html

• Computer Vision in Agriculture

  Deep learning isn’t just for placing ads or identifying cats anymore. Instead, a slew of young startups have started to incorporate the advances in computer vision made possible through larger and larger neural networks to real working robots in the fields.

  https://www.kdnuggets.com/2021/09/computer-vision-agriculture.html

• Django’s 9 Most Common Applications">Django’s 9 Most Common Applications

  Django is a Python web application framework enjoying widespread adoption in the data science community. But what else can you use Django for? Read this article for 9 use cases where you can put Django to work.

  https://www.kdnuggets.com/2021/08/django-9-common-applications.html

• Including ModelOps in your AI strategy

  The strategic power of AI has been established thoroughly across many industries and companies, leading to surges in model creation. Investments in the people, processes, and tools for operationalizing models, referred to as ModelOps, lag. This function of operationalizing, integrating, and deploying AI models in line with businesses value expectations is growing into a core business capability as global use of AI matures.

  https://www.kdnuggets.com/2021/08/modelops-ai-strategy.html

• MLOps Best Practices

  Many technical challenges must be overcome to achieve successful delivery of machine learning solutions at scale. This article shares best practices we encountered while architecting and applying a model deployment platform within a large organization, including required functionality, the recommendation for a scalable deployment pattern, and techniques for testing and performance tuning models to maximize platform throughput.

  https://www.kdnuggets.com/2021/07/mlops-best-practices.html

• AWS Webinar: How are data-driven companies using ESG and sustainability data to make actionable decisions?

  In this virtual session, on Jul 29 @ 11AM PT, 2PM ET, our panel of experts will uncover how companies across several verticals use ESG data to move beyond the reporting benchmark, deepen business insights, and create competitive differentiation.

  https://www.kdnuggets.com/2021/07/roidna-aws-webinar-data-driven-esg-sustainability-decisions.html

• Predict Customer Churn (the right way) using PyCaret

  A step-by-step guide on how to predict customer churn the right way using PyCaret that actually optimizes the business objective and improves ROI.

  https://www.kdnuggets.com/2021/07/pycaret-predict-customer-churn-right-way.html

• Unleashing the Power of MLOps and DataOps in Data Science

  Organizations trying to move forward with analytics and data science initiatives -- while floating in an ocean of data -- must enhance their overall approach and culture to embrace a foundation on DataOps and MLOps. Leveraging these operational frameworks are necessary to enable the data to generate real business value.

  https://www.kdnuggets.com/2021/06/power-mlops-dataops-data-science.html

• Five types of thinking for a high performing data scientist"> Five types of thinking for a high performing data scientist

  The way you think about a problem and the conceptual process you go through to find a solution may be guided by your personal skills or the type of problem at hand. Many mental models exist representing a variety of thinking patterns -- and as a Data Scientist, appreciating different approaches can help you more effectively model data in the business world and communicate your results to the decision-makers.

  https://www.kdnuggets.com/2021/06/five-types-thinking-data-scientist.html

• Data Validation in Machine Learning is Imperative, Not Optional

  Before we reach model training in the pipeline, there are various components like data ingestion, data versioning, data validation, and data pre-processing that need to be executed. In this article, we will discuss data validation, why it is important, its challenges, and more.

  https://www.kdnuggets.com/2021/05/data-validation-machine-learning-imperative.html

• Awesome list of datasets in 100+ categories

  With an estimated 44 zettabytes of data in existence in our digital world today and approximately 2.5 quintillion bytes of new data generated daily, there is a lot of data out there you could tap into for your data science projects. It's pretty hard to curate through such a massive universe of data, but this collection is a great start. Here, you can find data from cancer genomes to UFO reports, as well as years of air quality data to 200,000 jokes. Dive into this ocean of data to explore as you learn how to apply data science techniques or leverage your expertise to discover something new.

  https://www.kdnuggets.com/2021/05/awesome-list-datasets.html

• ETL in the Cloud: Transforming Big Data Analytics with Data Warehouse Automation

  Today, organizations are increasingly implementing cloud ETL tools to handle large data sets. With data sets becoming larger by the day, unified ETL tools have become crucial for data integration needs of enterprises.

  https://www.kdnuggets.com/2021/04/etl-cloud-transforming-big-data-analytics-data-warehouse-automation.html

• How to Begin Your NLP Journey

  In this blog post, learn how to process text using Python.

  https://www.kdnuggets.com/2021/03/begin-nlp-journey.html

• Kedro-Airflow: Orchestrating Kedro Pipelines with Airflow

  The Kedro team and Astronomer have released Kedro-Airflow 0.4.0 to help you develop modular, maintainable & reproducible code with orchestration superpowers!

  https://www.kdnuggets.com/2021/03/kedro-airflow-orchestrating-pipelines.html

• Cloud Data Warehouse is The Future of Data Storage

  Today, cloud data storage accounts for 45% of all enterprise data and by Q2 2021, that number could grow to 53%. Now is the time to embrace cloud than now.

  https://www.kdnuggets.com/2021/01/cloud-data-warehouse-future-data-storage.html

• 5 Tools for Effortless Data Science

  The sixth tool is coffee.

  https://www.kdnuggets.com/2021/01/5-tools-effortless-data-science.html

• Applications of Data Science and Business Analytics

  In recent times, a large number of businesses have begun realising the potential of Data Science. Business analytics and data science applications are far and wide. So let us have a look at them in detail.

  https://www.kdnuggets.com/2020/12/greatlearning-applications-data-science-business-analytics.html

• Artificial Intelligence in Modern Learning System : E-Learning

  There has been a considerable shortage in the supply and demand of AI professionals. If you are looking to learn AI or learn machine learning, you can opt for free online courses offered by Great Learning.

  https://www.kdnuggets.com/2020/12/greatlearning-ai-modern-learning.html

• The Future of Fake News

  Let's talk about misleading communications in the digital era.

  https://www.kdnuggets.com/2020/10/future-fake-news.html

• 5 Best Practices for Putting Machine Learning Models Into Production

  Our focus for this piece is to establish the best practices that make an ML project successful.

  https://www.kdnuggets.com/2020/10/5-best-practices-machine-learning-models-production.html

• 5 Challenges to Scaling Machine Learning Models

  ML models are hard to be translated into active business gains. In order to understand the common pitfalls in productionizing ML models, let’s dive into the top 5 challenges that organizations face.

  https://www.kdnuggets.com/2020/10/5-challenges-scaling-machine-learning-models.html

• Your Guide to Linear Regression Models

  This article explains linear regression and how to program linear regression models in Python.

  https://www.kdnuggets.com/2020/10/guide-linear-regression-models.html

• Artificial Intelligence for Precision Medicine and Better Healthcare

  In this article, we will focus on various machine learning, deep learning models, and applications of AI which can pave the way for a new data-centric era of discovery in healthcare.

  https://www.kdnuggets.com/2020/09/artificial-intelligence-precision-medicine-better-healthcare.html

• 10 Steps for Tackling Data Privacy and Security Laws in 2020

  Data privacy laws, such as the CCPA, GDPR, and HIPAA, are here to stay and significantly impact everyone in the digital era. These steps will guide organizations to prepare for compliance and ensure they support the fundamental privacy rights of their customers and users.

  https://www.kdnuggets.com/2020/07/10-steps-data-privacy-security-laws.html

• Before Probability Distributions

  Why do we use probability distributions, and why do they matter?

  https://www.kdnuggets.com/2020/07/before-probability-distributions.html

• Scope and Impact of AI in Agriculture

  The major advantage of focusing on AI-based methods is that they tackle each of the challenges faced by farmers from seed sowing to harvesting of crops separately and rather than generalising, provide customised solutions to a specific problem.

  https://www.kdnuggets.com/2020/07/scope-impact-ai-agriculture.html

• Exploratory Data Analysis on Steroids">Exploratory Data Analysis on Steroids

  This is a central aspect of Data Science, which sometimes gets overlooked. The first step of anything you do should be to know your data: understand it, get familiar with it. This concept gets even more important as you increase your data volume: imagine trying to parse through thousands or millions of registers and make sense out of them.

  https://www.kdnuggets.com/2020/07/exploratory-data-analysis-steroids.html

• How to Prepare Your Data

  This is an overview of structuring, cleaning, and enriching raw data.

  https://www.kdnuggets.com/2020/06/how-prepare-your-data.html

• Time Complexity: How to measure the efficiency of algorithms

  When we consider the complexity of an algorithm, we shouldn’t really care about the exact number of operations that are performed; instead, we should care about how the number of operations relates to the problem size.

  https://www.kdnuggets.com/2020/06/time-complexity-measure-efficiency-algorithms.html

• What is emotion AI and why should you care?

  What is emotion AI, why is it relevant, and what do you need to know about it?

  https://www.kdnuggets.com/2020/06/emotion-ai.html

• 4 Realistic Career Options for Data Scientists

  It’s almost 10 years since "Data Science" became mainstream. We ask less about how to get into Data Science, but wonder "what’s next?" This article includes insights on four non-trivial, but practical, options and their pitfalls.

  https://www.kdnuggets.com/2020/04/4-career-options-data-scientists.html

• Top Process Mining Software Companies, Updated

  Understanding the real business processes of a company through analysis of its information systems can guide digital transformations. Here, the top 10 process mining software companies are reviewed that can assist businesses in process optimizations through unique insights of business systems.

  https://www.kdnuggets.com/2020/04/process-mining-software-companies.html

• Building a Mature Machine Learning Team

  After spending a lot of time thinking about the paths that software companies take toward ML maturity, this framework was created to follow as you adopt ML and then mature as an organization. The framework covers every aspect of building a team including product, process, technical, and organizational readiness, as well as recognizes the importance of cross-functional expertise and process improvements for bringing AI-driven products to market.

  https://www.kdnuggets.com/2020/03/mature-machine-learning-team.html

• 50 Must-Read Free Books For Every Data Scientist in 2020">50 Must-Read Free Books For Every Data Scientist in 2020

  In this article, we are listing down some excellent data science books which cover the wide variety of topics under Data Science.

  https://www.kdnuggets.com/2020/03/50-must-read-free-books-every-data-scientist-2020.html

• How Bad Data is Affecting Your Organization’s Operational Efficiency

  Despite recognizing the importance of data quality, many companies still fail to implement a data quality framework that could protect them from making costly mistakes. Poor data does not just cause revenue loss – it’s the reason your company could lose employees, customers and reputation!

  https://www.kdnuggets.com/2020/03/bad-data-affecting-organizations-operational-efficiency.html

• Ontotext Platform 3.0 for Enterprise Knowledge Graphs Released

  Ontotext Platform 3.0 features significant technology improvements to enable simpler and faster graph navigation, including GraphQL interfaces to make it easier for application developers to access knowledge graphs without tedious development of back-end APIs or complex SPARQL.

  https://www.kdnuggets.com/2019/12/ontotext-platform-enterprise-knowledge-graphs.html

• Artificial Friend or Virtual Foe

  Is AI making more good than harm?

  https://www.kdnuggets.com/2019/12/artificial-friend-virtual-foe.html

• Top 7 Data Science Use Cases in Trust and Security

  What are trust and safety? What is the role of trust and security in the modern world? Read this overview of 7 data science application use cases in the realm of trust and security.

  https://www.kdnuggets.com/2019/12/top-7-data-science-use-cases-trust-security.html

• How AI will transform healthcare (and can it fix the US healthcare system?)">How AI will transform healthcare (and can it fix the US healthcare system?)

  This thorough review focuses on the impact of AI, 5G, and edge computing on the healthcare sector in the 2020s as well as a look at quantum computing's potential impact on AI, healthcare, and financial services.

  https://www.kdnuggets.com/2019/09/ai-transform-healthcare.html

• The Future of Analytics and Data Science">The Future of Analytics and Data Science

  Learn about the current and future issues of data science and possible solutions from this interview with IADSS Co-founder, Dr. Usama Fayyad following his keynote speech at ODSC Boston 2019.

  https://www.kdnuggets.com/2019/09/future-analytics-data-science.html

• Data Driven Government – Speakers Highlights

  The lineup of experienced, thought-leading speakers at Data Driven Government, Sep 25 in Washington, DC, will explain how to use data and analytics to more effectively accomplish your mission, increase efficiency, and improve evidence-based policymaking.

  https://www.kdnuggets.com/2019/08/paw-data-driven-government-speakers-highlights.html

• The Death of Big Data and the Emergence of the Multi-Cloud Era">The Death of Big Data and the Emergence of the Multi-Cloud Era

  The Era of Big Data is coming to an end as the focus shifts from how we collect data to processing that data in real-time. Big Data is now a business asset supporting the next eras of multi-cloud support, machine learning, and real-time analytics.

  https://www.kdnuggets.com/2019/07/death-big-data-multi-cloud-era.html

• Machine Learning and Deep Link Graph Analytics: A Powerful Combination

  We investigate how graphs can help machine learning and how they are related to deep link graph analytics for Big Data.

  https://www.kdnuggets.com/2019/04/machine-learning-graph-analytics.html

• How AI can help solve some of humanity’s greatest challenges – and why we might fail

  AI represents a step change in humanity’s ability to rise to its greatest challenges. We explore three areas in which AI can contribute to the UN’s Global Goals - and why we could fall short.

  https://www.kdnuggets.com/2019/02/ai-help-solve-humanity-challenges.html

• Five Ways Your Safety Depends on Machine Learning

  Eric Siegel tells you about five ways your safety depends on machine learning, which actively protects you from all sorts of dangers, including fires, explosions, collapses, crashes, workplace accidents, restaurant E. coli, and crime.

  https://www.kdnuggets.com/2019/02/dr-data-five-ways-safety-depends-machine-learning.html

• Top Active Blogs on AI, Analytics, Big Data, Data Science, Machine Learning – updated

  Stay up-to-date with the latest technological advancements using our extensive list of active blogs; this is a list of 100 recently active blogs on Big Data, Data Science, Data Mining, Machine Learning, and Artificial intelligence.

  https://www.kdnuggets.com/2019/01/active-blogs-ai-analytics-data-science.html

• How will automation tools change data science?

  This article provides an overview of recent trends in machine learning and data science automation tools and addresses how those tools will change data science.

  https://www.kdnuggets.com/2018/12/automation-data-science.html

• Four Approaches to Explaining AI and Machine Learning

  We discuss several explainability techniques being championed today, including LOCO (leave one column out), permutation impact, and LIME (local interpretable model-agnostic explanations).

  https://www.kdnuggets.com/2018/12/four-approaches-ai-machine-learning.html

• AI, Data Science, Analytics Main Developments in 2018 and Key Trends for 2019">AI, Data Science, Analytics Main Developments in 2018 and Key Trends for 2019

  Review of 2018 and Predictions for 2019 from our panel of experts, including Meta Brown, Tom Davenport, Carla Gentry, Bob E Hayes, Cassie Kozyrkov, Doug Laney, Bill Schmarzo, Kate Strachnyi, Ronald van Loon, Favio Vazquez, and Jen Underwood.

  https://www.kdnuggets.com/2018/12/predictions-data-science-analytics-2019.html

• Top 5 domains Big Data analytics helps to transform

  Big data analytics gives a competitive advantage to companies across many industries, especially, financial services, e-commerce, aviation, transportation, logistics, and energy. It enables to reduce downtime, mitigate risks, cut costs, and improve performance.

  https://www.kdnuggets.com/2018/11/top-5-domains-big-data-analytics.html

• Modern Graph Query Language – GSQL

  This post introduces the prospect of fulfilling the need for a modern graph query language with GSQL

  https://www.kdnuggets.com/2018/06/modern-graph-query-language-gsql.html

• Advice For Applying To Data Science Jobs

  A comprehensive guide to applying for a job in data science, covering the application, interview and offer stage.

  https://www.kdnuggets.com/2018/06/advice-applying-data-science-jobs.html

• Top 7 Data Science Use Cases in Finance

  We have prepared a list of data science use cases that have the highest impact on the finance sector. They cover very diverse business aspects from data management to trading strategies, but the common thing for them is the huge prospects to enhance financial solutions.

  https://www.kdnuggets.com/2018/05/top-7-data-science-use-cases-finance.html

• Role of IoT in Education

  In this article, I will discuss the significance of IoT and gain insights on why this technology is becoming an integral part of the daily learning and teaching methodologies.

  https://www.kdnuggets.com/2018/04/role-iot-education.html

• Descriptive Statistics: The Mighty Dwarf of Data Science – Crest Factor

  No other mean of data description is more comprehensive than Descriptive Statistics and with the ever increasing volumes of data and the era of low latency decision making needs, its relevance will only continue to increase.

  https://www.kdnuggets.com/2018/04/descriptive-statistics-mighty-dwarf-data-science-crest-factor.html

• Graph Databases Burst into the Mainstream

  What do Amazon, Facebook, Google, IBM, Microsoft and Twitter have in common? They're all adopters of graph databases - a hot technology that continues to evolve.

  https://www.kdnuggets.com/2018/02/graph-databases-burst-into-the-mainstream.html

• Interview: Bill Moreau, USOC on Empowering World’s Best Athletes through Analytics.

  CNBC recently quoted this KDnuggets interview which discussed how United States Olympic Committee uses Big Data, how athletes respond to Analytical insights, integration of sports medicine into sports performance and sports injury.

  https://www.kdnuggets.com/2018/02/interview-bill-moreau-usoc.html

• Democratizing Artificial Intelligence, Deep Learning, Machine Learning with Dell EMC Ready Solutions

  Democratization is defined as the action/development of making something accessible to everyone, to the “common masses.” AI | ML | DL technology stacks are complicated systems to tune and maintain, expertise is limited, and one minimal change of the stack can lead to failure.

  https://www.kdnuggets.com/2018/01/democratizing-ai-deep-learning-machine-learning-dell-emc.html

• How to build a Successful Advanced Analytics Department">How to build a Successful Advanced Analytics Department

  This article presents our opinions and suggestions on how an Advanced Analytics department should operate. We hope this will be useful for those who want to implement analytics work in their company, as well as for existing departments.

  https://www.kdnuggets.com/2018/01/build-successful-advanced-analytics-department.html

• Data Science, Machine Learning: Main Developments in 2017 and Key Trends in 2018">Data Science, Machine Learning: Main Developments in 2017 and Key Trends in 2018

  The leading experts in the field on the main Data Science, Machine Learning, Predictive Analytics developments in 2017 and key trends in 2018.

  https://www.kdnuggets.com/2017/12/data-science-machine-learning-main-developments-trends.html

• Big Data: Main Developments in 2017 and Key Trends in 2018">Big Data: Main Developments in 2017 and Key Trends in 2018

  As we bid farewell to one year and look to ring in another, KDnuggets has solicited opinions from numerous Big Data experts as to the most important developments of 2017 and their 2018 key trend predictions.

  https://www.kdnuggets.com/2017/12/big-data-main-developments-2017-key-trends-2018.html

• Best Online Masters in Data Science and Analytics – a comprehensive, unbiased survey">Best Online Masters in Data Science and Analytics – a comprehensive, unbiased survey

  The first comprehensive and objective survey of online Masters in Analytics / Data Science, including rankings, tuition, and duration of the education program.

  https://www.kdnuggets.com/2017/11/best-online-masters-analytics-data-science.html

• The Qualitative Side of Quantitative Research

  Kevin and Koen may buy the same brand for the same reasons. On the other hand, they may buy the same brand for different reasons, or buy different brands for the same reasons, or even different brands for different reasons. The brands they purchase and the reasons why may vary by occasion, too.

  https://www.kdnuggets.com/2017/11/qualitative-side-quantitative-research.html

• Want to Become a Data Scientist? Read This Interview First">Want to Become a Data Scientist? Read This Interview First

  There’s been a lot of hype about Data Science... and probably just as much confusion about it.
   
   

  https://www.kdnuggets.com/2017/10/become-data-scientist-read-interview-first.html

• A Guide For Time Series Prediction Using Recurrent Neural Networks (LSTMs)

  Looking at the strengths of a neural network, especially a recurrent neural network, I came up with the idea of predicting the exchange rate between the USD and the INR.

  https://www.kdnuggets.com/2017/10/guide-time-series-prediction-recurrent-neural-networks-lstms.html

• Top 10 Active Big Data, Data Science, Machine Learning Influencers on LinkedIn, Updated">Top 10 Active Big Data, Data Science, Machine Learning Influencers on LinkedIn, Updated

  Looking for advice? Guidance? Stories? We’ve put a list of the top ten LinkedIn influencers of the last three months, follow them and stay up-to-date with the latest news in Big Data, Data Science, Analytics, Machine Learning and AI.

  https://www.kdnuggets.com/2017/09/top-10-big-data-science-machine-learning-influencers-linkedin-updated.html

• Are Data Lakes Fake News?">Are Data Lakes Fake News?

  The quick answer is yes, and the biggest problem is that the term “Data Lakes” has been overloaded by vendors and analysts with different meanings, resulting in an ill-defined and blurry concept.

  https://www.kdnuggets.com/2017/09/data-lakes-fake-news.html

• Are physicians worried about computers machine learning their jobs?

  We review JAMA article on “Unintended Consequences of Machine Learning in Medicine” and argue that a number of alarming opinions in this pieces are not supported by evidence.

  https://www.kdnuggets.com/2017/08/are-physicians-worried-about-computers-machine-learning-their-jobs.html