This document provides information on the target audiences, publishers, and focuses of various music magazines, including Q, NME, Mojo, Kerrang!, Top of the Pops, Uncut, We Love Pop, Classic Rock, Mixmag, and Metal Hammer. It outlines the intended readers and goals of each publication, such as Q's focus on interviews and lists for males aged 15-44, NME's association with rock/indie music for males 25-40, and Mixmag's coverage of electronic dance/club music for 26 year old males. The majority of magazines profiled aim their content at either male or female readers between the ages of 15-45.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
tapal brand analysis PPT slide for comptetive data
Research
1.
2. • NME
• Publisher - IPC Media
• It is largely associated with rock,
alternative and indie music.
• Target audience - Males 25-40
• NRS Social grade of reader: 65%
ABC1
3. • Mojo
• Publisher – Bauer Media Group
• Target audience - Mainly 16 – 24 year olds
• It would cater for the burgeoning interest in
classic rock music. It has in-depth coverage of
both popular and cult acts, it acted as the
inspiration for Blender and Uncut.
• NRS social grade of reader: 67.3% ABC1
4. • Q
• Publisher - Bauer Media Group
• Much of the magazine is devoted to
interviews with popular musical
artists. It is well known for compiling
lists. It has created many, ranging from
"The 100 Greatest albums" to the
"100 Greatest '100 Greatest' Lists".
• Target audience – very wide 15-44
years of age.
• NRS Social grade of reader: 70% ABC1
5. • Kerrang!
• Publisher - Bauer Media Group
• UK-based magazine devoted to rock music.
• Target audience - Males in their late teens.
• NRS Social grade of reader: 49.8% ABC1
6. • Top of the Pops
• Publisher - Immediate Media
Company
• It features chart information, star
gossip, fashion and beauty advice,
quizzes, song lyrics and posters.
• Target audience – 87% female aged
11-15
7. • Uncut
• Publisher - IPC Media
• Target audience -25 to 45 year-old men
• Uncut's contents include lengthy
features on old albums, interviews with
film directors, music and film news, and
reviews of all major new album, film and
DVD releases. Its music features tend to
focus on genres such as Americana rock
and alternative country.
• NRS Social grade of reader: 77% ABC1
8. • We Love Pop
• Publisher - Egmont UK Ltd
• Features interviews with pop stars,
behind-the-scenes exclusives,
photos and a "high-end cover gift"
designed to appeal to a savvy teen
audience.
• Target audience – teenage girls aged
11-15.
9. • Classic Rock
• Publisher – TeamRock
• Target Audience - 16-25 year olds
• It includes articles and reviews of
contemporary and upcoming artists it
deems worthy of note.
• NRS Social grade of reader: 53% ABC1
10. • Mixmag
• Publisher - DMC Publishing
• Target audience - 26 year old, 72%
male and 28% female.
• Mixmag is a British electronic dance
and clubbing magazine, published in
London, England. Launched in 1982,
the magazine covers dance events,
and reviews music and club nights.
• NRS Social grade of reader: 78%
ABC1
11. • Metal Hammer
• Publisher – TeamRock
• Target audience -20 to 25 year old
males.
• Metal Hammer articles feature both
mainstream bands and more unusual
acts from the whole spectrum of
heavy metal music.
• NRS Social grade of reader: 51%
ABC1
