Analytics Vidhya
JULY 5, 2022
This article was published as a part of the Data Science Blogathon. Introduction Datasets are to machine learning models what experiences are to human beings. Have you ever witnessed a strange occurrence? What exactly do you consider to be strange? What constitutes an odd event? Is it based on comparisons with uncommon circumstances or things that […].
KDnuggets
JULY 4, 2022
Learn about the data science VSCode extensions for super productivity and better user experience.
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David Menninger's Analyst Perspectives
JULY 7, 2022
Organizations are continuously increasing the use of analytics and business intelligence to turn data into meaningful and actionable insights. Our Analytics and Data Benchmark Research shows some of the benefits of using analytics: Improved efficiency in business processes, improved communication and gaining a competitive edge in the market top the list.
Smart Data Collective
JULY 7, 2022
We have previously talked about the reasons that data analytics technology is changing the financial industry. One of the most significant changes has been in the field of stock market investing. Analytics Insight has touched on some of the benefits of using data analytics to make better stock market trades. They point out that value investors are using machine learning technology to anticipate future stock prices.
Speaker: Jason Tanner
While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.
Analytics Vidhya
JULY 5, 2022
This article was published as a part of the Data Science Blogathon. Introduction MapReduce is part of the Apache Hadoop ecosystem, a framework that develops large-scale data processing. Other components of Apache Hadoop include Hadoop Distributed File System (HDFS), Yarn, and Apache Pig. This component develops large-scale data processing using scattered and compatible algorithms in the […].
KDnuggets
JULY 8, 2022
The combination of several machine learning algorithms is referred to as ensemble learning. There are several ensemble learning techniques. In this article, we will focus on boosting.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Smart Data Collective
JULY 4, 2022
Big data has led to some major changes in the field of education. We have covered some of these trends in the past, but new changes are still emerging each year. You should pay close attention to developments in big data in academia. Keep reading to learn more. How is Big Data Affecting the State of Education? The e-Learning industry is currently undergoing a revolution due to recent technological breakthroughs.
Analytics Vidhya
JULY 6, 2022
This article was published as a part of the Data Science Blogathon. Introduction Nowadays, people around the world think about drones?—?and not just how fun they are to fly, but how much drones have improved our modern life. Source: [link] From delivering packages on demand to surveying disaster zones, drones are crucial to many businesses and […].
Dataiku
JULY 8, 2022
In a recent Dataiku Product Days session, Krishna Vadakattu, Senior Product Manager at Dataiku, interviewed Sulabh Soral, Chief AI Officer Deloitte Consulting, U.K. This blog summarizes and shares Soral’s perspective on the risk, roles, and realities of AI Governance from the session.
Depict Data Studio
JULY 4, 2022
I work as a program analyst for a government agency, and it is my job to find ways to improve the efficiency of day-to-day program operations. An important part of my job is identifying and creating the appropriate communication products for each program, such as standard operating procedures, desk guides, fact sheets, and dashboards. When I first joined the team, we had no style guide to dictate what fonts, colors, or design to use for our signature products.
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Stuck with stalled AI projects? Data silos and fragmented processes are likely culprits. This IDC report unveils Data Products as the secret weapon. By treating data as a product, organizations can overcome these challenges and unlock the true potential of AI. Learn how a unified data control plane empowers Data Products to deliver trusted, high-quality data for faster insights and improved decision-making.
CIO Business Intelligence
JULY 7, 2022
CIOs are no strangers to lengthy, convoluted approvals processes. Every time they want to bring on a new IT vendor, they must go through multiple levels of approval: procurement, legal, compliance, and more. It might take anywhere from three to six months to onboard a new IT vendor, and during that time, the clock is ticking. Whatever problem the vendor is being brought on to solve is only getting worse.
Analytics Vidhya
JULY 6, 2022
This article was published as a part of the Data Science Blogathon. Introduction PCA, or Principal Component Analysis, is a term that is well-known to everyone. Notably employed for Curse of Dimensionality issues. In addition to this fundamental issue, there are other significant issues that we tackle in the PCA article. So, let’s start with […].
KDnuggets
JULY 7, 2022
We've been long working on improving the user experience in UGC products with machine learning. Following this article's advice, you will avoid a lot of mistakes when creating a recommendation system, and it will help to build a really good product.
Smart Data Collective
JULY 7, 2022
Artificial intelligence has been a disruptive force in the financial sector for the past decade. We have discussed some of the benefits of AI technology in mainstream financial sectors like banking. However, there are less conventional corners of the financial sector that are also changing in light of developments in AI. The cryptocurrency sector is being shaped by changes in AI technology.
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While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.
CIO Business Intelligence
JULY 6, 2022
Skills shortages continue to plague the IT sector, causing UK technology job vacancies to shoot up by almost 200% since 2020, according to BCS. Not having the right skills or team is the third biggest worry among senior IT decision-makers in the UK, with two-thirds of technology executives (66%) highlighting that their organisation’s digital transformation projects are being stalled due to struggles in recruiting IT professionals with the skills they need.
Analytics Vidhya
JULY 7, 2022
The wait is now over! Here is your chance to share your knowledge with the world! After successful and insightful 21 Blogathons, Analytics Vidhya is back with yet another Data Science Blogathon with its 22nd edition that goes live from today! Introduction The Blogathon by Analytics Vidhya is organized with a simple mission to share […]. The post Data Science Blogathon 22nd Edition appeared first on Analytics Vidhya.
KDnuggets
JULY 5, 2022
Leverage the powerful data wrangling tools in R’s dplyr to clean and prepare your data.
DataRobot Blog
JULY 5, 2022
Real world problems are multidimensional and multifaceted. Location data is a key dimension whose volume and availability has grown exponentially in the last decade. At the confluence of cloud computing, geospatial data analytics, and machine learning we are able to unlock new patterns and meaning within geospatial data structures that help improve business decision-making, performance, and operational efficiency.
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
CIO Business Intelligence
JULY 8, 2022
TOGAF is a longstanding, popular, open-source enterprise architecture framework that is widely used by large businesses, government agencies, non-government public organizations, and defense agencies. Offered by The Open Group, TOGAF advises enterprises on how best to implement, deploy, manage, and maintain enterprise architecture. The Open Group offers several options for those who want to be certified in the TOGAF 9.
Analytics Vidhya
JULY 4, 2022
This article was published as a part of the Data Science Blogathon. Introduction Academia is the integral coaching zone for humanity’s future talent and the development of new approaches toward our survival as human species in terms of task execution and thinking. The academic score is an indicator used for performance assessment and management by […].
KDnuggets
JULY 6, 2022
12 Essential VSCode Extensions for Data Science; Statistics and Probability for Data Science; Free Python Crash Course; Linear Machine Learning Algorithms: An Overview; 7 Steps to Mastering Python for Data Science.
TDAN
JULY 5, 2022
Bounded Contexts / Ubiquitous Language My new book, Data Model Storytelling,[i] contains a section describing some of the most significant challenges data modelers and other Data professionals face. One of these challenges is the increasing popularity of an approach to application development called Domain-Driven Development (DDD). Like most of its predecessors, including Agile development and […].
Speaker: John Mansour
If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.
CIO Business Intelligence
JULY 8, 2022
To help meet demand from enterprises that are shifting asset management methods from legacy applications to cloud-based technology, ERP provider IFS has signed an agreement to acquire Netherlands-based enterprise asset management (EAM) software firm Ultimo. IFS, which is based in Sweden and has customers globally, says that it is acquiring Ultimo because it believes that the company’s SaaS offering can provide high levels of flexibility and configurability for customers.
Analytics Vidhya
JULY 5, 2022
This article was published as a part of the Data Science Blogathon. Introduction This article shows how you can create and manage a Cloud SQL Database on Google Cloud Platform and further connect that database to any web application. This tutorial shows how you can join that database with a Django Application. By the end […]. The post Managing SQL Database on Google Cloud appeared first on Analytics Vidhya.
KDnuggets
JULY 4, 2022
Also: Decision Tree Algorithm, Explained; 20 Basic Linux Commands for Data Science Beginners; 15 Python Coding Interview Questions You Must Know For Data Science; Naïve Bayes Algorithm: Everything You Need to Know.
TDAN
JULY 5, 2022
As an IT professional, you’re probably used to the constant treadmill of new ideas, technologies, and concepts that you need to know to stay on top of your game. In that vein, allow us to flag for you an important new way to think about keeping IT systems secure: Decentralized Cybersecurity. Read on for a […].
Speaker: Kevin Kai Wong, President of Emergent Energy Solutions
In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. ♻️ Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets. 📊 Join us for a practical webinar hosted by Kevin Kai Wong of Emergent Ene
CIO Business Intelligence
JULY 5, 2022
When Marcus Ericsson, driving for Chip Ganassi Racing, won the Indianapolis 500 in May, it was in a car equipped with more than 140 sensors streaming data and predictive analytic insights, not only to the racing team but to fans at the Brickyard and around the world. NTT, which partners with Penske Entertainment for the NTT Indycar Series, including the Indy 500 race, collected an estimated 8 billion data points through the sensors on Ericsson’s car and that of his 32 competitors.
Analytics Vidhya
JULY 5, 2022
This article was published as a part of the Data Science Blogathon. Introduction An important application of deep learning and artificial intelligence is image classification. Image classification is the process of labeling images based on specific characteristics or features that they contain. The algorithm recognizes these qualities and utilizes them to distinguish between images and assign […].
KDnuggets
JULY 7, 2022
Coming to think of technical debt in ML systems leads to the additional overhead of ML-related issues on top of typical software engineering issues.
IBM Big Data Hub
JULY 5, 2022
In today’s world of complex data architectures and emerging technologies, databases can sometimes be undervalued and unrecognized. The fact is that databases are truly the engine driving better outcomes for businesses — they’re running your cloud-native apps, generating returns on your investments in AI, and the backbone supporting your data fabric strategy.
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In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities? Imagine having an AI tool that answers your user’s questions with a deep understanding of the context in their business and applications, nuances of their industry, and unique challenges they face.
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