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.
datapine
JULY 6, 2022
Table of Contents. 1) What Are Productivity Metrics? 2) How To Measure Productivity? 3) Productivity Metrics Examples. 4) The Value Of Workforce Productivity Metrics. For years, businesses have experimented and narrowed down the most effective measurements for productivity. Productivity can be measured in many different ways and at different levels, from the raw industrial output of an asset in a manufacturing facility to the specific individual sales performance of a vendor.
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
Analytics Vidhya
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.
CIO Business Intelligence
JULY 5, 2022
1. What is business analytics? Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. Research firm Gartner defines business analytics as “solutions used to build analysis models and simulations to create scenarios, understand realities, and predict future states.”.
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.
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.
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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?
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.
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 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.
CIO Business Intelligence
JULY 8, 2022
This article was co-authored by Duke Dyksterhouse , an Associate at Metis Strategy. After transforming their organization’s operating model, realigning teams to products rather than to projects , CIOs we consult arrive at an inevitable question: “What next?” Of the many possible answers, some of our clients elect to carry the transformation further by separating their employees into two groups: those responsible for operations and those responsible for innovation.
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📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.
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.
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 5, 2022
Leverage the powerful data wrangling tools in R’s dplyr to clean and prepare your data.
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.
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.
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 […].
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 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.
CIO Business Intelligence
JULY 7, 2022
By Aaron Ploetz, Developer Advocate. There are many statistics that link business success to application speed and responsiveness. Google tells us that a one-second delay in mobile load times can impact mobile conversions by up to 20%. And a 0.1 second improvement in load times improved retail customer engagement by 5.2%, according to a study by Deloitte.
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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.
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 […].
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 8, 2022
Learn essential DVC commands to version large datasets and track and manage the machine learning experiments.
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.
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.
Teradata
JULY 5, 2022
In the current age of AI, all digital transformations must be analytics-led. Learn the 7 steps needed to realize the promise of an analytics-led digital transformation.
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 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.
CIO Business Intelligence
JULY 5, 2022
The logical progression from the virtualization of servers and storage in VSANs was hyperconvergence. By abstracting the three elements of storage, compute, and networking, data centers were promised limitless infrastructure control. That promised ideal was in keeping with the aims of hyperscale operators needing to grow to meet increased demand and that had to modernize their infrastructure to stay agile.
Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network
In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.
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