Search results for Digital Technologies

Found 273 documents, 5932 searched:

• 6 Data Science Technologies You Need to Build Your Supply Chain Pipeline

  Here are some of the data science technologies needed to build a comprehensive and smooth supply chain pipeline.

  https://www.kdnuggets.com/2022/01/6-data-science-technologies-need-build-supply-chain-pipeline.html

• AI Knowledge Map: How To Classify AI Technologies">AI Knowledge Map: How To Classify AI Technologies

  What follows is then an effort to draw an architecture to access knowledge on AI and follow emergent dynamics, a gateway of pre-existing knowledge on the topic that will allow you to scout around for additional information and eventually create new knowledge on AI.

  https://www.kdnuggets.com/2018/08/ai-knowledge-map-classify-ai-technologies.html

• Leveraging Agent-based Models (ABM) and Digital Twins to Prevent Injuries

  Both athletes and machines deal with inter-twined complex systems (where the interactions of one complex system can have a ripple effect on others) that can have significant impact on their operational effectiveness.

  https://www.kdnuggets.com/2018/08/leveraging-agent-based-models-digital-twins-prevent-injuries.html

• Why Every Company Needs a Digital Brain

  As emerging technologies like AI/machine learning are adopted across different parts of the business, enterprises require a “digital brain” to coordinate those efforts and generate systemic intelligence.

  https://www.kdnuggets.com/2017/07/why-every-company-needs-digital-brain.html

• AI: Large Language & Visual Models

  This article discusses the significance of large language and visual models in AI, their capabilities, potential synergies, challenges such as data bias, ethical considerations, and their impact on the market, highlighting their potential for advancing the field of artificial intelligence.

  https://www.kdnuggets.com/2023/06/ai-large-language-visual-models.html

• Women in the World of Data

  When it comes to Data Science, many people affiliate the career path as being ‘nerdy’. An industry for men, smart men; pushing women further and further away from the career. What can be done about this, and why is it important?

  https://www.kdnuggets.com/2022/03/women-world-data.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

• The 4 Hottest Trends in Data Science for 2020">The 4 Hottest Trends in Data Science for 2020

  The field of Data Science is growing with new capabilities and reach into every industry. With digital transformations occurring in organizations around the world, 2019 included trends of more companies leveraging more data to make better decisions. Check out these next trends in Data Science expected to take off in 2020.

  https://www.kdnuggets.com/2019/12/4-hottest-trends-data-science-2020.html

• Top 10 Technology Trends of 2019">Top 10 Technology Trends of 2019

  This article outlines 10 top trending technologies for 2019, a list which covers diverse topics such as security, IoT, reinforcement learning, energy sustainability, smart cities, and much more.

  https://www.kdnuggets.com/2019/02/top-10-technology-trends-2019.html

• KDnuggets™ News 14:n23, Sep 3

  Features | Software | News | Opinions | Interviews | Reports | Webcasts | Courses | Meetings | Jobs | Academic | Publications | Tweets Read more »

  https://www.kdnuggets.com/2014/n23.html

• The AI Transformation Strategy in the GenAI Era

  Similar to the iterative nature of AI projects, AI strategy also requires continuous adjustments to bring successful AI transformation.

  https://www.kdnuggets.com/the-ai-transformation-strategy-in-the-genai-era

• The 8 AI Search Engines That You Should Replace Google With

  GenAI has enabled new search engine platforms with unique features and advantages, challenging Google's dominance.

  https://www.kdnuggets.com/top-8-ai-search-engine-that-you-should-replace-with-google

• Navigating Today’s Data and AI Market Uncertainty

  It’s more important than ever to think long-term about the analytics partnerships you forge. Are you choosing technologies that will stand the test of time? Are you choosing companies with proven track records?

  https://www.kdnuggets.com/2024/02/altair-navigating-todays-data-ai-market-uncertainty

• 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

• Top 10 AI Startups to Work for in India

  Want to jumpstart your career in AI? Discover the top 10 trailblazing Indian startups that are reshaping industries with cutting-edge innovation and providing unparalleled opportunities to work on impactful projects.

  https://www.kdnuggets.com/top-10-ai-startups-to-work-for-in-india

• Introduction to Cloud Computing for Data Science

  And the Power Duo of Modern Tech.

  https://www.kdnuggets.com/introduction-to-cloud-computing-for-data-science

• 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

• 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

• Building a Formula 1 Streaming Data Pipeline With Kafka and Risingwave

  Build a streaming data pipeline using Formula 1 data, Python, Kafka, RisingWave as the streaming database, and visualize all the real-time data in Grafana.

  https://www.kdnuggets.com/building-a-formula-1-streaming-data-pipeline-with-kafka-and-risingwave

• KDnuggets 30th Anniversary Interview with Founder Gregory Piatetsky-Shapiro

  Gregory Piatetsky-Shapiro founded KDnuggets 30 years ago, after organizing early workshops on knowledge discovery. In this retrospective interview, he reflects on KDnuggets' growth, key innovations like deep learning, and concerns about AI's societal impact.

  https://www.kdnuggets.com/30th-anniversary-interview-with-founder-gregory-piatetsky-shapiro

• 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

• 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 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

• Whose Responsibility Is It To Get Generative AI Right?

  The limitless possibilities of the technology that transcends boundaries.

  https://www.kdnuggets.com/2023/08/whose-responsibility-get-generative-ai-right.html

• Will 300 million Jobs really be Exposed or Lost to AI Replacement?

  The authors of the Goldman Sachs report suggest that 300 million jobs might be affected by AI replacement. Here’s why reason to be both cautious and hopeful.

  https://www.kdnuggets.com/2023/07/300-million-jobs-really-exposed-lost-ai-replacement.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

• The Role of Open Source Tools in Accelerating Data Science Progress

  Open source tools have had a pivotal role in the evolution of data science, from providing the foundation for analysis, to fueling the innovation that shapes today's landscape. The open source impact on data science is demonstrated best by looking at the relationship's past, present, and future.

  https://www.kdnuggets.com/2023/05/role-open-source-tools-accelerating-data-science-progress.html

• Fighting AI with AI Fraud Monitoring for Deepfake Applications

  An overview of Deepfake, and how they are being used to perpetuate financial fraud.

  https://www.kdnuggets.com/2023/05/fighting-ai-ai-fraud-monitoring-deepfake-applications.html

• How to Get Hired as Data Scientist in the GPT-4 Era

  We will be focusing on statistics, core data science concepts, NLP, prompt engineering, data science portfolio, interview preparation, and AIOps.

  https://www.kdnuggets.com/2023/04/get-hired-data-scientist-gpt4-era.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

• 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 Data Science Can Transform Mobile App Development?

  Data science is an intelligent and powerful technology. By knowing how to use data science in mobile app development you can achieve great results.

  https://www.kdnuggets.com/2023/03/data-science-transform-mobile-app-development.html

• What Are The Downsides of AI Advancement?

  While AI has certainly several positive uses to offer the world, it’s also displaying harm when it comes to academics, cybersecurity, the environment, jobs, and privacy.

  https://www.kdnuggets.com/2023/03/downsides-ai-advancement.html

• Fast-track your next move with in-demand data skills

  DataCamp offers over 400 interactive courses, projects, and career tracks in the most popular data technologies such as Python, SQL, R, Power BI, and Tableau. Start today and save up to 67% on career-advancing learning.

  https://www.kdnuggets.com/2023/01/datacamp-fast-track-next-move-indemand-data-skills.html

• Key Data Science, Machine Learning, AI and Analytics Developments of 2022

  It's the end of the year, and so it's time for KDnuggets to assemble a team of experts and get to the bottom of what the most important data science, machine learning, AI and analytics developments of 2022 were.

  https://www.kdnuggets.com/2022/12/key-data-science-machine-learning-ai-analytics-developments-2022.html

• How To Find The Best Data Science Remote Jobs

  Learn Why, What, and How about the best data science remote jobs.

  https://www.kdnuggets.com/2022/12/find-best-data-science-remote-jobs.html

• What Can AI-Powered RPA and IA Mean For Businesses?

  RPA and IA have stunned the business world by availing impressive, intelligent automation capabilities for scales of businesses across industries, which we'll know in this blog.

  https://www.kdnuggets.com/2022/12/aipowered-rpa-ia-mean-businesses.html

• How Machine Learning Can Benefit Online Learning

  Personalized learning, smart grading, skill gap assessment, and better ROI: The importance of incorporating Machine Learning in Online Learning cannot be overstated.

  https://www.kdnuggets.com/2022/12/machine-learning-benefit-online-learning.html

• Top 10 Data Science Myths Busted

  The data science field is full of job opportunities, yet there is still a lot of confusion about what data scientists actually do. This confusion is largely due to the many myths that exist about the role of a data scientist. In this article, we will bust the top 10 myths about data science. By the end of this article, you will have a better understanding of the role of a data scientist and what it takes to be one.

  https://www.kdnuggets.com/2022/12/top-10-data-science-myths-busted.html

• 9 Skills You Need to Become a Data Engineer

  A data engineer is a fast-growing profession with amazing challenges and rewards. Which skills do you need to become a data engineer? In this post, we’ll take a look at both hard and soft skills.

  https://www.kdnuggets.com/2021/03/9-skills-become-data-engineer.html

• Top 10 MLOps Tools to Optimize & Manage Machine Learning Lifecycle

  As more businesses experiment with data, they realize that developing a machine learning (ML) model is only one of many steps in the ML lifecycle.

  https://www.kdnuggets.com/2022/10/top-10-mlops-tools-optimize-manage-machine-learning-lifecycle.html

• Is OLAP Dead?

  OLAP enables citizen analysts to quickly, efficiently, and cost-effectively uncover new business insights at a reduced time-to-value.

  https://www.kdnuggets.com/2022/10/olap-dead.html

• Key-Value Databases, Explained

  Among the four big NoSQL database types, key-value stores are probably the most popular ones due to their simplicity and fast performance. Let’s further explore how key-value stores work and what are their practical uses.

  https://www.kdnuggets.com/2021/04/nosql-explained-understanding-key-value-databases.html

• How to Better Leverage Data Science for Business Growth

  Is data science for you? And if it is, how can you use it to grow your business?

  https://www.kdnuggets.com/2022/08/better-leverage-data-science-business-growth.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

• Most In-demand Artificial Intelligence Skills To Learn In 2022

  Artificial Intelligence (AI) is the process of programming a computer that can reason and learn like a human being and make decisions for itself.

  https://www.kdnuggets.com/2022/08/indemand-artificial-intelligence-skills-learn-2022.html

• The AIoT Revolution: How AI and IoT Are Transforming Our World

  The AIoT has the potential to transform industries and society, and it is already starting to have an impact. This article will explore the principles of AIoT, its benefits, and its current use.

  https://www.kdnuggets.com/2022/07/aiot-revolution-ai-iot-transforming-world.html

• Benefits Of Becoming A Data-First Enterprise

  Data is everywhere but only data is not sufficient to reap the benefits that come with it. It needs to be organized to enable the organizations to make more informed business decisions. In this article, we will learn what are the various benefits of being a data-first enterprise and using the data in developing a business intelligence solution.

  https://www.kdnuggets.com/2022/07/benefits-becoming-datafirst-enterprise.html

• Why SQL Will Remain the Data Scientist’s Best Friend

  Machine learning, big data analytics or AI may steal the headlines, but if you want to hone a smart, strategic skill that can elevate your career, look no further than SQL.

  https://www.kdnuggets.com/2022/07/sql-remain-data-scientist-best-friend.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

• A Gentle Introduction to Natural Language Processing

  This gentle introduction to NLP covers the basics, and will help you move along to more advanced topics ASAP.

  https://www.kdnuggets.com/2022/06/gentle-introduction-natural-language-processing.html

• Prepare Your Data for Effective Tableau & Power BI Dashboards

  Although dashboards have become quite an integral part of performance tracking in organizations, implementing them can be tricky even for the most experienced analysts. This guide walks you through the steps that will allow you to create easily updatable, automated and scalable Power BI / Tableau dashboards.

  https://www.kdnuggets.com/2022/06/prepare-data-effective-tableau-power-bi-dashboards.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

• Database Key Terms, Explained

  Interested in a survey of important database concepts and terminology? This post concisely defines 16 essential database key terms.

  https://www.kdnuggets.com/2016/07/database-key-terms-explained.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

• Should The Data Warehouse Be Immutable?

  Is the data warehouse broken? Is the "immutable data warehouse" the right path for your data team? Learn more here.

  https://www.kdnuggets.com/2022/05/data-warehouse-immutable.html

• Data Mesh Architecture: Reimagining Data Management

  The objective of data mesh is to establish coherence between data coming from different domains across an enterprise. The domains are handled autonomously to eliminate the challenges of data availability and accessibility for cross-functional teams.

  https://www.kdnuggets.com/2022/05/data-mesh-architecture-reimagining-data-management.html

• Does AI Get its Own Batman?

  AI is sending up the Bat-signal and synthetic data is answering the call for more robust, powerful, and less-biased AI systems.

  https://www.kdnuggets.com/2022/05/ai-get-batman.html

• How to Build Strong Data Science Portfolio as a Beginner

  After learning the basics of data science, you can start to work on real-world problems. But how do you showcase your work? In this article, we are going to learn a unique way to create a data science portfolio.

  https://www.kdnuggets.com/2021/10/strong-data-science-portfolio-as-beginner.html

• A Community for Synthetic Data is Here and This is Why We Need It

  The first open-source platform for synthetic data is here to help educate the broader machine learning and computer vision communities on the emerging technology.

  https://www.kdnuggets.com/2022/04/community-synthetic-data-need.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 Ace Data Science Assessment Test by Using Automatic EDA Tools

  By using a few lines of code, you can understand key aspects of a given dataset. These tools have helped me answer business-related questions during the data assessment test by Alooba.

  https://www.kdnuggets.com/2022/04/ace-data-science-assessment-test-automatic-eda-tools.html

• AI-Generated Sports Highlights: Different Approaches

  Competition for viewers’ attention is not over after the players leave the field. Now, anyone who can put up a highlight compilation or a game summarization first gets the edge. So, let’s talk about how media companies do just that — with the help of Artificial Intelligence.

  https://www.kdnuggets.com/2022/03/aigenerated-sports-highlights-different-approaches.html

• Boost Your AI and ML Skills for Free at NVIDIA Conference

  Four-day conference offers hundreds of learning and development opportunities in AI, ML, DL, robotics, data science and high performance computing for developers at all levels.

  https://www.kdnuggets.com/2022/03/nvidia-fourday-conference-offers-hundreds-learning-development-opportunities.html

• 5 Applications of Computer Vision

  CV has the potential to transform industries and how they operate. Here are some of the most notable applications worth exploring.

  https://www.kdnuggets.com/2022/03/5-applications-computer-vision.html

• Essential Machine Learning Algorithms: A Beginner’s Guide

  Machine Learning as a technology, ensures that our current gadgets and their software get smarter by the day. Here are the algorithms that you ought to know about to understand Machine Learning’s varied and extensive functionalities and their effectiveness.

  https://www.kdnuggets.com/2021/05/essential-machine-learning-algorithms-beginners.html

• Data Mesh & Its Distributed Data Architecture

  Going forward, data professionals have found a new way to address the scalability of sources through data mesh.

  https://www.kdnuggets.com/2022/02/data-mesh-distributed-data-architecture.html

• Baidu Research Unveils Top 10 Tech Trends Forecast for 2022

  These are Baidu's top 10 tech trends for 2022, which center on three key pillars: AI core technologies, interdisciplinary & cross-domain research, and industrial & social values.

  https://www.kdnuggets.com/2022/02/baidu-research-unveils-top-10-tech-trends-forecast-2022.html

• How to Successfully Deploy Data Science Projects

  This guide will provide detailed insight into the steps you can take to successfully manage your data science projects.

  https://www.kdnuggets.com/2022/01/successfully-deploy-data-science-projects.html

• Top Programming Languages and Their Uses

  The landscape of programming languages is rich and expanding, which can make it tricky to focus on just one or another for your career. We highlight some of the most popular languages that are modern, widely used, and come with loads of packages or libraries that will help you be more productive and efficient in your work.

  https://www.kdnuggets.com/2021/05/top-programming-languages.html

• How AI/ML Technology Integration Will Help Business in Achieving Goals in 2022

  AI/ML systems have a wide range of applications in a variety of industries and sectors, and this article highlights the top ways AI/ML will impact your small business in 2022.

  https://www.kdnuggets.com/2021/12/aiml-technology-integration-help-business-achieving-goals-2022.html

• The Chatbot Transformation: From Failure to the Future

  The all-knowing chatbots we once thought to be the future have been replaced by specialized bots, and the results are outstanding.

  https://www.kdnuggets.com/2021/12/chatbot-transformation-failure-future.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

• Stop Learning Data Science to Find Purpose and Find Purpose to Learn Data Science">Stop Learning Data Science to Find Purpose and Find Purpose to Learn Data Science

  How I flipped the educational model to become a more effective data scientist.

  https://www.kdnuggets.com/2021/12/stop-learning-data-science-find-purpose.html

• Main 2021 Developments and Key 2022 Trends in AI, Data Science, Machine Learning Technology

  Our panel of leading experts reviews 2021 main developments and examines the key trends in AI, Data Science, Machine Learning, and Deep Learning Technology.

  https://www.kdnuggets.com/2021/12/trends-ai-data-science-ml-technology.html

• Building a solid data team">Building a solid data team

  How do you put together a solid data science team when it comes to developing data-driven products? A variety of roles are available to consider, so which ones do you need and which are most crucial?

  https://www.kdnuggets.com/2021/12/build-solid-data-team.html

• Inside recommendations: how a recommender system recommends

  We describe types of recommender systems, more specifically, algorithms and methods for content-based systems, collaborative filtering, and hybrid systems.

  https://www.kdnuggets.com/2021/11/recommendations-recommender-system.html

• The Case for a Global Responsible AI Framework

  Public and private organizations have come out with their own set of AI principles, focusing on AI-related risks from their perspective. However, it’s imperative d=to have a global consensus on Responsible AI – based on data governance, transparency and accountability – on how to utilize and benefit from AI in a way that is both consistent and ethical.

  https://www.kdnuggets.com/2021/10/responsible-ai-framework.html

• How to Build Data Frameworks with Open Source Tools to Enhance Agility and Security

  Let’s take a look at how to harness open source tools to build your data frameworks.

  https://www.kdnuggets.com/2021/10/build-data-frameworks-open-source-tools-agility-security.html

• How our Obsession with Algorithms Broke Computer Vision: And how Synthetic Computer Vision can fix it

  Deep Learning radically improved Machine Learning as a whole. The Data-Centric revolution is about to do the same. In this post, we’ll take a look at the pitfalls of mainstream Computer Vision (CV) and discuss why Synthetic Computer Vision (SCV) is the future.

  https://www.kdnuggets.com/2021/10/obsession-algorithms-broke-computer-vision.html

• Transform speech into knowledge with Huggingface/Facebook AI and expert.ai

  Speech2Data is a blend of open source and free-to-use AI models and technologies powered by Huggingface, Facebook AI and expert.ai. Learn more here.

  https://www.kdnuggets.com/2021/09/expert-ai-speech-huggingface-facebook.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

• Amazon Web Services Webinar: Accelerating clinical trial and biomedical development processes with healthcare data

  Join this webinar on August 27 to learn how to leverage external healthcare datasets to make faster decisions with greater accuracy – accelerating biomedical development and improving patient welfare.

  https://www.kdnuggets.com/2021/08/aws-webinar-clinical-trial-biomedical-development-healthcare.html

• What I Learned From “Women in Data Science” Conferences

  Read the author's perspective after attending 3 "Women in Data Science" conferences.

  https://www.kdnuggets.com/2021/08/learned-women-data-science-conferences.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

• Bootstrap a Modern Data Stack in 5 minutes with Terraform">Bootstrap a Modern Data Stack in 5 minutes with Terraform

  What is a Modern Data Stack and how do you deploy one? This guide will motivate you to start on this journey with setup instructions for Airbyte, BigQuery, dbt, Metabase, and everything else you need using Terraform.

  https://www.kdnuggets.com/2021/08/bootstrap-modern-data-stack-terraform.html

• Advice for Learning Data Science from Google’s Director of Research">Advice for Learning Data Science from Google’s Director of Research

  Surfing the professional career wave in data science is a hot prospect for many looking to get their start in the world. The digital revolution continues to create many exciting new opportunities. But, jumping in too fast without fully establishing your foundational skills can be detrimental to your success, as is suggested by this advice for data science newbies from Peter Norvig, the Director of Research at Google.

  https://www.kdnuggets.com/2021/07/google-advice-learning-data-science.html

• Become an Analytics Engineer in 90 Days">Become an Analytics Engineer in 90 Days

  A new role of the Analytics Engineer is an exciting opportunity that crosses the skill sets of a Data Analyst and Data Engineer. Here, we describe how this position can evolve at an organization, and recommend self-learning resources that can be used to prepare for the multifaceted responsibilities.

  https://www.kdnuggets.com/2021/07/become-analytics-engineer-90-days.html

• Computational Complexity of Deep Learning: Solution Approaches

  Why has deep learning been so successful? What is the fundamental reason that deep learning can learn from big data? Why cannot traditional ML learn from the large data sets that are now available for different tasks as efficiently as deep learning can?

  https://www.kdnuggets.com/2021/06/computational-complexity-deep-learning-solution-approaches.html

• 10 Mistakes You Should Avoid as a Data Science Beginner

  Read this article on how to gain a competitive advantage in the data science job market.

  https://www.kdnuggets.com/2021/06/10-mistakes-avoid-data-science-beginner.html

• The 7 Best Open Source AI Libraries You May Not Have Heard Of

  AI researchers today have many exciting options for working with specialized tools. Although starting original projects from scratch is often not necessary, knowing which existing library to leverage remains a challenge. This list of generally unknown yet awesome, open-source libraries offers an interesting collection to consider for state-of-the-art research that spans from automatic machine learning to differentiable quantum circuits.

  https://www.kdnuggets.com/2021/06/7-open-source-ai-libraries.html

• 6 Business Trends Benefiting Data Scientists

  Here are six business trends making data scientists even more in-demand.

  https://www.kdnuggets.com/2021/05/6-business-trends-data-scientists.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

• Machine Translation in a Nutshell

  Marketing scientist Kevin Gray asks Dr. Anna Farzindar of the University of Southern California for a snapshot of machine translation. Dr. Farzindar also provided the original art for this article.

  https://www.kdnuggets.com/2021/05/machine-translation-nutshell.html

• The NoSQL Know-It-All Compendium

  Are you a NoSQL beginner, but want to become a NoSQL Know-It-All? Well, this is the place for you. Get up to speed on NoSQL technologies from a beginner's point of view, with this collection of related progressive posts on the subject. NoSQL? No problem!

  https://www.kdnuggets.com/2021/05/nosql-know-it-all-compendium.html

• Baidu Research: 10 Technology Trends in 2021

  Understanding future technology trends may never have been as important as it is today. Check out the prediction of the 10 technology trends in 2021 from Baidu Research.

  https://www.kdnuggets.com/2021/01/top-10-technology-trends-2021.html

• Building a Deep Learning Based Reverse Image Search">Building a Deep Learning Based Reverse Image Search

  Following the journey from unstructured data to content based image retrieval.

  https://www.kdnuggets.com/2021/01/deep-learning-based-reverse-image-search.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

• Best Python IDEs and Code Editors You Should Know">Best Python IDEs and Code Editors You Should Know

  Developing machine learning algorithms requires implementing countless libraries and integrating many supporting tools and software packages. All this magic must be written by you in yet another tool -- the IDE -- that is fundamental to all your code work and can drive your productivity. These top Python IDEs and code editors are among the best tools available for you to consider, and are reviewed with their noteworthy features.

  https://www.kdnuggets.com/2021/01/best-python-ide-code-editors.html

• 11 Industrial AI Trends that will Dominate the World in 2021

  These trends broadly cover the three themes of: Where will businesses adopt AI in 2021? How will AI become more accessible? How will AI capabilities evolve?

  https://www.kdnuggets.com/2021/01/11-industrial-ai-trends-dominate-2021.html

• Industry 2021 Predictions for AI, Analytics, Data Science, Machine Learning

  We bring you industry predictions from 12 innovative companies - what key trends they expect in 2021 in AI, Analytics, Data Science, and Machine Learning?

  https://www.kdnuggets.com/2020/12/industry-2021-predictions-ai-data-science-machine-learning.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

• Main 2020 Developments and Key 2021 Trends in AI, Data Science, Machine Learning Technology">Main 2020 Developments and Key 2021 Trends in AI, Data Science, Machine Learning Technology

  Our panel of leading experts reviews 2020 main developments and examines the key trends in AI, Data Science, Machine Learning, and Deep Learning Technology.

  https://www.kdnuggets.com/2020/12/developments-trends-ai-data-science-machine-learning-technology.html

• AI registers: finally, a tool to increase transparency in AI/ML

  Transparency, explainability, and trust are pressing topics in AI/ML today. While much has been written about why they are important and what you need to do, no tools have existed until now.

  https://www.kdnuggets.com/2020/12/ai-registers-transparency-ml.html

• Data Science History and Overview

  In this era of big data that is only getting bigger, a huge amount of information from different fields is gathered and stored. Its analysis and extraction of value have become one of the most attractive tasks for companies and society in general, which is harnessed by the new professional role of the Data Scientist.

  https://www.kdnuggets.com/2020/11/data-science-history-overview.html

• Software 2.0 takes shape

  Software developers remain in very high demand as many organizations continue to experience workloads that far exceed available talent. AI-enhanced approaches that automate more areas of the software development lifecycle are in development with interesting potentials for how machine learning and natural language processing can significantly impact how software is designed, developed, tested, and deployed in the future.

  https://www.kdnuggets.com/2020/10/software-20-takes-shape.html

• Behavior Analysis with Machine Learning and R: The free eBook

  Check out this new free ebook to learn how to leverage the power of machine learning to analyze behavioral patterns from sensor data and electronic records using R.

  https://www.kdnuggets.com/2020/10/behavior-analysis-machine-learning-r-free-ebook.html

• The Ethics of AI

  Marketing scientist Kevin Gray asks Dr. Anna Farzindar of the University of Southern California about a very important subject - the ethics of AI.

  https://www.kdnuggets.com/2020/10/ethics-ai-qa-farzindar.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

• Strategies of Docker Images Optimization

  Large Docker images lengthen the time it takes to build and share images between clusters and cloud providers. When creating applications, it’s therefore worth optimizing Docker Images and Dockerfiles to help teams share smaller images, improve performance, and debug problems.

  https://www.kdnuggets.com/2020/10/strategies-docker-images-optimization.html

• Data Protection Techniques Needed to Guarantee Privacy

  This article takes a look at the concepts of data privacy and personal data. It presents several privacy protection techniques and explains how they contribute to preserving the privacy of individuals.

  https://www.kdnuggets.com/2020/10/data-protection-techniques-guarantee-privacy.html

• AI in Healthcare: A review of innovative startups

  The AI innovation in healthcare has been overwhelming with the Global Healthcare AI Market accounting for $0.95 billion in 2017, and is expected to reach $19.25 billion by 2026. What drives this vibrant growth?

  https://www.kdnuggets.com/2020/09/ai-healthcare-review-innovative-startups.html

• Online Certificates/Courses in AI, Data Science, Machine Learning from Top Universities">Online Certificates/Courses in AI, Data Science, Machine Learning from Top Universities

  We present the online courses and certificates in AI, Data Science, Machine Learning, and related topics from the top 20 universities in the world.

  https://www.kdnuggets.com/2020/09/online-certificates-ai-data-science-machine-learning-top.html

• A Curious Theory About the Consciousness Debate in AI

  Dr. Michio Kaku has formulated a very interesting theory of consciousness that applies to AI systems.

  https://www.kdnuggets.com/2020/08/curious-theory-consciousness-debate-ai.html

• How Data Science Is Keeping People Safe During COVID-19

  Data, and more importantly, the way people use it, is shaping and refining approaches to COVID-19 safety. Here's a closer look at how this is happening.

  https://www.kdnuggets.com/2020/08/data-science-keeping-people-safe-covid-19.html

• Implementing MLOps on an Edge Device

  This article introduces developers to MLOps and strategies for implementing MLOps on edge devices.

  https://www.kdnuggets.com/2020/08/implementing-mlops-edge-device.html

• Why would you put Scikit-learn in the browser?

  Honestly? I don’t know. But I do think WebAssembly is a good target for ML/AI deployment (in the browser and beyond).

  https://www.kdnuggets.com/2020/07/why-put-scikit-learn-browser.html

• A Layman’s Guide to Data Science. Part 3: Data Science Workflow">A Layman’s Guide to Data Science. Part 3: Data Science Workflow

  Learn and appreciate the typical workflow for a data science project, including data preparation (extraction, cleaning, and understanding), analysis (modeling), reflection (finding new paths), and communication of the results to others.

  https://www.kdnuggets.com/2020/07/laymans-guide-data-science-workflow.html

• Upcoming Webinars and Online Events in AI, Data Science, Machine Learning: June

  Here are some interesting upcoming webinar, online events and virtual conferences in in AI, Data Science, and Machine Learning.

  https://www.kdnuggets.com/2020/06/upcoming-webinars-online-events-june.html

• AI and Machine Learning for Healthcare">AI and Machine Learning for Healthcare

  Traditional business and technology sectors are not the only fields being impacted by AI. Healthcare is a field that is thought to be highly suitable for the applications of AI tools and techniques.

  https://www.kdnuggets.com/2020/05/ai-machine-learning-healthcare.html

• State of the Machine Learning and AI Industry

  Enterprises are struggling to launch machine learning models that encapsulate the optimization of business processes. These are now the essential components of data-driven applications and AI services that can improve legacy rule-based business processes, increase productivity, and deliver results. In the current state of the industry, many companies are turning to off-the-shelf platforms to increase expectations for success in applying machine learning.

  https://www.kdnuggets.com/2020/04/machine-learning-ai-industry.html

• A Layman’s Guide to Data Science. Part 2: How to Build a Data Project

  As Part 2 in a Guide to Data Science, we outline the steps to build your first Data Science project, including how to ask good questions to understand the data first, how to prepare the data, how to develop an MVP, reiterate to build a good product, and, finally, present your project.

  https://www.kdnuggets.com/2020/04/guide-data-science-build-data-project.html

• The 4 Best Jupyter Notebook Environments for Deep Learning

  Many cloud providers, and other third-party services, see the value of a Jupyter notebook environment which is why many companies now offer cloud hosted notebooks that are hosted on the cloud. Let's have a look at 3 such environments.

  https://www.kdnuggets.com/2020/03/4-best-jupyter-notebook-environments-deep-learning.html

• 21 Machine Learning Projects – Datasets Included

  Upgrading your machine learning, AI, and Data Science skills requires practice. To practice, you need to develop models with a large amount of data. Finding good datasets to work with can be challenging, so this article discusses more than 20 great datasets along with machine learning project ideas for you to tackle today.

  https://www.kdnuggets.com/2020/03/20-machine-learning-datasets-project-ideas.html

• Analyzing GDPR Fines – who are largest violators?

  Fines from the GDPR have been rolling in since its inception in 2018. This article investigates who are the largest penalty recipients by country, the amounts, and private individuals.

  https://www.kdnuggets.com/2020/03/analyzing-gdpr-fines.html

• Trends in Machine Learning in 2020

  Many industries realize the potential of Machine Learning and are incorporating it as a core technology. Progress and new applications of these tools are moving quickly in the field, and we discuss expected upcoming trends in Machine Learning for 2020.

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

• Can Edge Analytics Become a Game Changer?

  Edge analytics is considered to be the future of sensor handling, and this article discusses its benefits and architecture of modern edge devices, gateways, and sensors. Deep Learning for edge analytics is also considered along with a review of experiments in human and chess figure detection using edge devices.

  https://www.kdnuggets.com/2020/02/edge-analytics-game-changer.html

• Audio Data Analysis Using Deep Learning with Python (Part 1)">Audio Data Analysis Using Deep Learning with Python (Part 1)

  A brief introduction to audio data processing and genre classification using Neural Networks and python.

  https://www.kdnuggets.com/2020/02/audio-data-analysis-deep-learning-python-part-1.html

• Amazon Uses Self-Learning to Teach Alexa to Correct its Own Mistakes

  The digital assistant incorporates a reformulation engine that can learn to correct responses in real time based on customer interactions.

  https://www.kdnuggets.com/2020/02/amazon-uses-self-learning-teach-alexa-correct-mistakes.html