KDnuggets
JULY 22, 2022
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.
Analytics Vidhya
JULY 21, 2022
This article was published as a part of the Data Science Blogathon. Introduction Over the past few years, advancements in Deep Learning coupled with data availability have led to massive progress in dealing with Natural Language. Though it can seem quite diverse, NLP is restricted – when it comes to the ‘Natural Languages’ it can […].
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Dataconomy
JULY 21, 2022
What programming language for artificial intelligence is suitable for you? It is a crucial question for your company’s future. Every major tech business and even startups are working on artificial intelligence (AI), which has emerged as one of the hottest issues and largest study disciplines. It’s a tremendously broad topic.
Smart Data Collective
JULY 20, 2022
Artificial intelligence is one of the most disruptive forms of technology shaping the marketing profession since the dawn of the Internet. Here are some statistics on the importance of AI in marketing : 48% of marketers feel AI makes a greater difference than anything else in affecting their relationship with customers 51% of e-commerce companies use AI to improve the customer experience 64% of B2B marketers use AI to guide their strategy.
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.
KDnuggets
JULY 20, 2022
14 Essential Git Commands for Data Scientists • Statistics and Probability for Data Science • 20 Basic Linux Commands for Data Science Beginners • 3 Ways Understanding Bayes Theorem Will Improve Your Data Science • Learn MLOps with This Free Course • Primary Supervised Learning Algorithms Used in Machine Learning • Data Preparation with SQL Cheatsheet.
Analytics Vidhya
JULY 20, 2022
This article was published as a part of the Data Science Blogathon. Introduction Dapps are decentralized – applications that allow one to communicate to the blockchain and perform specific actions. These have become an integral part of Web 3.0 due to their security, transparency, and ease of use. The fact that makes Dapps more interesting […].
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Smart Data Collective
JULY 21, 2022
Data analytics is incredibly valuable for helping people. learn. More institutions are recognizing this, so the market for data analytics in education is projected to be worth over $57 billion by 2030. We have previously talked about the many ways that big data is disrupting education. Big data isn’t just helping with education in the field of academia.
KDnuggets
JULY 21, 2022
Hill climbing is basically a search technique or informed search technique having different weights based on real numbers assigned to different nodes, branches, and goals in a path.
Analytics Vidhya
JULY 21, 2022
Introduction Eduardo Xamena is hosting a DataHour with us. He works as a Scientific Researcher at National Scientific and Technical Council, developing methods and architectures for information extraction and retrieval from enormous amounts of text. The history of the Argentinian Revolution and the number of complaints received by the Public Ministry of Salta are two […].
Dataconomy
JULY 19, 2022
Data science techniques, applications, and tools allow organizations to extract valuable insights from data. The evolution of data science and advanced forms of analytics has created significant change for companies. The conditions were created for the emergence of various applications that provide deeper insights and business value. While data science.
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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?
Smart Data Collective
JULY 19, 2022
AI technology has become incredibly helpful for companies trying to boost productivity. There are a lot of invaluable applications that use AI to bolster efficiency, lower costs and help companies improve the quality of their products and services. According to research from Oberlo, 91% of businesses have invested in AI technology to achieve these benefits.
KDnuggets
JULY 19, 2022
The skills you have need maintenance and occasional updates. Doing an interesting data science project is what will keep you from getting rusty.
Analytics Vidhya
JULY 18, 2022
Have you ever wondered if it is possible to get access to your dream data science job like a piece of cake? Life would be far easier if you didn’t have to scroll through job sites and referral sites to find and apply for the data science jobs you wanted. The ideal scenario each aspiring […]. The post Analytics Vidhya Presents JOB-A-THON – Look No Further for Your Dream Data Science Job appeared first on Analytics Vidhya.
Dataconomy
JULY 20, 2022
A modern corporation needs to be concerned about things like climate change, supply chain risk, and competition intelligence. Signal AI’s External Intelligence Graph maps these relationships and shows how an organization is “associated” with these crucial issues. This brand-new type of data, which makes sense of the massive amounts of.
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.
Smart Data Collective
JULY 20, 2022
Data-driven decision-making has become a major element of modern business. A growing number of businesses use big data technology to optimize efficiency. However, companies that have a formal data strategy are still in the minority. Only 32% of executives have officially laid out a data strategy to drive their organization. Furthermore, only 13% of companies are actually delivering on their data strategy.
KDnuggets
JULY 22, 2022
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.
Analytics Vidhya
JULY 20, 2022
This article was published as a part of the Data Science Blogathon. Introduction Conversational AI tech has significantly evolved in the last decade, allowing many businesses to use virtual assistants, aka bots in the chat & voice mediums, to resolve customer queries. Several bot provider companies take many approaches to deploy & optimize virtual assistants […].
Dataconomy
JULY 18, 2022
More and more businesses are moving into an era wherein artificial intelligence (AI) is a component of every new initiative. One such tool called emotion AI analyzes facial expressions based on a person’s faceprint to find their goals, attitudes, and interior emotions.
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
FlowingData
JULY 19, 2022
There’s a database of feathers called Featherbase , because of course there is: Featherbase is a working group of German feather scientists and other collectors worldwide who came together with their personal collections and created the biggest and most comprehensive online feather library in the world. Using our website, it is possible to identify feathers from hundreds of different species, compare similarities between them, work out gender or age-specific characteristics and look at the
KDnuggets
JULY 18, 2022
The simple but tricky data science questions that most people struggle to answer.
Analytics Vidhya
JULY 20, 2022
This article was published as a part of the Data Science Blogathon. Introduction Image classification is the process of classifying and recognizing groups of pixels inside an image in line with pre-established principles. Using one or more spectral or text qualities is feasible while creating the classification regulations. Two popular types of categorization techniques are […].
Dataconomy
JULY 21, 2022
The latest study showed expanding data sets with “fake data” offered at least 40% increase in the performance of robots. A new method widens training data sets for robots that operate with soft things like ropes and fabrics, or in congested situations, taking a step toward creating robots that can.
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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.
Smart Data Collective
JULY 19, 2022
Are you concerned about your data privacy? You are going to want to invest in a VPN. Few other safeguards will be equally effective. Keep reading to learn why this is so important. A VPN is Going to Be Necessary for Data Privacy – Even if Data Protection Laws Are Passed. Data privacy is becoming a greater concern than ever. One poll from 2021 showed that 83% of Americans supported legislation to protect their data privacy.
KDnuggets
JULY 20, 2022
Language is now less of a barrier than it was in earlier days and the concept of real-time translation is no longer a fantasy with AI. Learn more!
Analytics Vidhya
JULY 22, 2022
This article was published as a part of the Data Science Blogathon. Introduction Machine Learning pipelines are always about learning and best accuracy achievement. And every Data Scientist wants to progress as fast as possible, so time-saving tips & tricks are a big deal as well. That’s why low-code tools are adopted among data scientists.
Dataconomy
JULY 18, 2022
Zscaler, the market leader in security services edge (SSE), unveiled a number of new features in its security platform that are intended for businesses who wish to implement zero trust in the cloud and manage risk from cyberthreats. The announcement coincides with Zscaler’s expansion of its partnership with Amazon Web.
Speaker: Nikhil Joshi, Founder & President of Snic Solutions
Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.
FlowingData
JULY 21, 2022
Welcome to issue #198 of The Process , the newsletter for FlowingData members that looks closer at how the charts get made. I’m Nathan Yau, and I want chart labels with clear units of measurement. Become a member for access to this — plus tutorials, courses, and guides.
KDnuggets
JULY 20, 2022
In this article, we discuss the importance of calculus in data science and machine learning.
Analytics Vidhya
JULY 20, 2022
This article was published as a part of the Data Science Blogathon. Introduction Data acclimates to countless shapes and sizes to complete its journey from a source to a destination. Be it a streaming job or a batch job, ETL and ELT are irreplaceable. Before designing an ETL job, choosing optimal, performant, and cost-efficient tools […]. The post Developing an End-to-End Automated Data Pipeline appeared first on Analytics Vidhya.
Dataconomy
JULY 19, 2022
The following article explains how data scientists can access datasets distributed through Web 3.0 technology, earning bounties of up to $25,000 USD for data science work. Engage with a global data science community to explore blockchain data exchange, solve data challenges, and learn how to become part of a Web.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.
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