1) The music video for Beyoncé's song "If I Were a Boy" depicts a failing relationship between a heterosexual couple through role reversal.
2) In the first half, the couple's gender roles are swapped, with the wife behaving selfishly and the husband loyally. However, it is then revealed the husband was actually the one flirting.
3) This role reversal causes viewers to reconsider gender stereotypes and how infidelity is more accepted from men, reinforcing Beyoncé's message of female independence.
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.
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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.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
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.
1. A2 Media Studies: Advanced Portfolio
The music video for ‘If I were a boy’ filmed in New York in 2009 is taken from Beyoncé’s
album ‘I am... Sasha Fierce’. The video is created in black and white and the narrative
follows an elliptical/enigmatic structure with themes of gender representation and role
reversal. The videos storyline depicts a failing relationship between a heterosexual couple
and for the first half of the video shows their roles in the relationship swapped which
creates confusion for the audience. The female character is played by Beyoncé, at the
beginning of the video she portrayed as being confident and ungrateful of her partner when
she skips breakfast made by her husband, flirts with a colleague and subsequently gets
caught dancing with him at a party. Her husband is represented as loyal and loving when he
buys his wife presents and refuses to flirt with an attractive girl from work. When the wife is
caught cheatingthe non-diegetic sound stops and dialogue is used, as this happen the
couples roles are reversed to how they should be and we realise that it was in fact the
husband who was flirting with his colleague and his wife who was being faithful. The
audience originally find the idea of the female character cheating quite abnormal however
when they realise it’s the husband it becomes the all too familiar stereotypical image of a
loyal wife and ungrateful husband who’s taken her for granted. This then causes the
consumer to consider how their opinions change and how it has become more acceptable
for men to cheat in a relationship. This role
reversal idea was used by Beyoncé to reinforce her idea of independent women and creates
the idea that she feels women are vulnerable in relationships.
In terms of Binary opposites, the video has been filmed in black and white creating the idea
of good vs evil. The colour black usually gives negative connotations of death and mystery of
the unknown whereas white has connotations of goodness, purity and innocence. This idea
can be reflected in the characters views towards their relationship;the husband is behaving
in a way that is considered wrong whereas his wife is being loyal to him. Strauss theory of
Binary Opposition can also be seen in the attitudes they have towards other colleagues and
also their difference in job, the wife has a stereotypical slightly dull office job whereas her
husband has an exciting fast-paced job as a police officer, this shows that their lives away
from each other couldn’t be more different. Iconographydepicting a failing relationship is
used in the music video when the husband tries to ring his wife and we see her look at
2. herphone and ignore it while she is in a bar with colleagues. This scenario seems slightly
abnormal for a woman to be doing this however when the roles are reversed it becomes the
conventional image of a man ignoring his partners phone calls. Iconography has been used
in the video to make it relatable for Beyoncé demographic of females aged 16-30 as they
may have experienced a similar situation in their relationships. This idea of independent
women that Beyoncé creates in this video and has done throughout her career will then
empower her female audience.
In terms of mise-en-scene the video is set in several different conventional pop video
locations, the first is in the couple’surban style apartment, which is used to juxtapose the
characters roles. This is done by similar shots being used of each character so that the
audience are able to compare their roles, it also allows them to see how different genders
are represented.Other settings such as a bar, an office and a party are seen ion the music
video, these ordinary locations are used so that familiar to its audience and therefore will
suggest that this is a common situation that they can relate to therefore making them feel
more sympathy for the singer. It will also make them questions why it is viewed in the
media for it to be more acceptable for men to behave unfaithful in relationships, which will
in turn reinforce Beyoncé’s theme of independent women.
Close up shots are frequently used on the husband in the first half of the video and when
the roles are reversed in the second half close ups are then used on the female character
when we realise she is the one who has in fact been hurt. This shot is successful in
enablingthe consumer to see her pain therefore making the video more emotional and
appear more intimate;subsequently this makes the audience feel empathy towards her. In
the latter half of the video another setting is introduced and it is the first time we see
Beyoncé use performance elements in the video.