The document summarizes an adaptation of the TV show "Friends" into a feature film. The film would focus on the group after they have moved out of the city and started new lives. It would be a comedy/drama genre certified at 15 years old. The narrative involves the friends reuniting on vacation and having to work together after a helicopter crash strands them in the woods. The target audience would be original fans of the TV show aged 15-25 years old. Constraints include budget, while opportunities could involve capturing the sitcom feel with a lower budget.
This power point outlines both my ideas for my short films, they explain: what the genre is, what the storyline is and why I have to shoot my film is a certain style/form, it also includes much more detail
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
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
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).
Show drafts
volume_up
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.
2. What am I adapting?
• My adaptation is based on the Friends TV series and I
plan to adapt it into a film. I plan for the film to last
at least 90-100 minutes long. The film is going to
focus on the life’s of the group after they have
started their new life’s and are now living outside the
city. The film will have similar characteristics of the
original TV series so it will attract the original fan
base that the series had.
3. Genre
• The genre of this film is going to follow the TV series so it will
mostly be comedy with a little bit of drama because I want to
portray how they have grown up since they have split up and
started living there own life’s. However I still plan to keep the
comedy aspect so that the audience will be able to enjoy and
get a feel of the original TV series.
• The film will be certificated at 15. This will because it will
contain a lot of adult themes and sexual references. There will
be some mild language but noting too extreme. As I'm going
for a comedy/drama genre there won’t be any action.
4. Narrative
• Narrative- Monica and Chandler will be taking a vacation with their
adopted child when Monica surprises chandler by telling him that she's
invited the rest of the group. After everyone arrives we see joeys girlfriend
arrives which sparks an argument. We see the friends make up in a local
coffee shop and then plan to go on a helicopter trip. As the trip begins we
see a fault appear and the helicopter crash happens. This is when we see
the friends come together as they are stuck in the middle of the woods.
Here I will portray the friendship from the TV series as we see the group
work together to get back to the cabin.
5. Constraints and opportunities
• A typical constraint that will affect the adaptation and make it difficult to
produce and become a successful idea will be the budget. Because I'm
trying to adapt the idea from a sit com I'm going to need a better budget
because the equipment that is going to be used will be a lot more
advanced. Ethical issues might come into play as well as some of the jokes
that are made might offend some of the audience.
• Opportunities that could be in place for this adaptation will be that if the
budget isn't that great then it might lead the film to having more of a sit
com feel to it which will appeal to the original audience. The ethical issues
could also mean that the audience won’t react bad to the jokes and t
could improve the film.
6. Target audience
• The main target audience will be the original fan base of the
TV series so it will be roughly 15-25 year olds. This will be age
range because I think they will be able to relate a lot to the
film as well because it shows the change from early 20’s to
settling down towards their 30’s.
• The cast of the adaptation will be the cast that appeared
within the original series. This will mean that my audience will
also be familiar with the cast.
7. Cinematic ideas
• In the film the only CGI that will take place will be the
helicopter crash scene. But I'm trying not to use a lot
of CGI or special effects because I want to try and
keep the original sit com feel to it.