This document provides guidance for filming in the post-apocalyptic genre. It recommends using long shots to capture drastically different scenery and close-up shots to tell the narrative. Sets and props should look worn and unmaintained to convey an apocalyptic feel. Black and white or color filters can be used for flashbacks or to age the location. The soundtrack should include old, pre-catastrophe music and more tense music for action scenes. Narration by the protagonist can explain what happened while the plot establishes daily life and a late disturbance, like finding an injured survivor or bandit attack. Stereotypically, the protagonist is a white male with diverse support characters.
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.
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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.
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.
2. What's unique to the genre
• Camera work- Plenty of longshots to take in the drastically
different scenery (thus the filming location must be chosen
carefully), still needs other, closer shots to tell narretive
• Mise-en-Scene – everything is ment to look as if an apocalypse
happened, this means clothing and props must look worn out
and unmaintained, while the setting should either be the most
run-down area of the town that I can find, or wilderness (either
way trying to avoid a busy street in order to give the scene the
Post-Apocalyptic feeling)
• Editing- if flashbacks are used (in my case, I’m considering it)
black and white filters are recommended. Filters could also be
used to give the filming location a more worn-out colouring.
3. • Sound- Post-Apocalyptic films usually feature old-fashioned music
that was popular before the catastrophic event, as well as some
slightly more tense music when a action scene is taking place. In my
case I will need to find some royalty-free music then select something
I will find appropriate for my production.
• Narrative- For this, I will need to introduce a protagonist, as well as
some way to deliver an explanation of what exactly happened to the
world. I am thinking of having the protagonist / protagonist’s (voice)
actor to be the one doing the narration of events. As for the plot, I am
to establish an equilibrium and hint at the change, thus I plan to focus
on the protagonist’s daily routine of scavenging and patrol, then near
the end, have some sort of disturbance such as finding a wounded
survivor or being attacked by bandits.
• Stereotyping-not much uniqueness can be found in stereotyping in
this genre. However there is a tendency to have the protagonist be a
white male, with support characters being either female, different
ethnic background, or just different personality/apearence.
