The document discusses various technologies the author learned to use while constructing a blog and magazine for a class project. The author learned how to use Blogger to create and organize blog posts, Photoshop to edit photos, Publisher to layout pages, and Slideshare and Prezi to embed presentations. Additional programs learned include Dafont for fonts, cameras for photos, and YouTube for embedding videos. The biggest challenges were learning complicated software like Photoshop within deadlines and figuring out how to embed items into the blog.
Advertising and Communication Strategy for Indian Women to generate desire to buy Chevrolet Volt. Presentation discusses the target audience, mood board and communication strategy.
A practical 2-day management communication training seminar for second-languge English speaking executives who wish to show their intellect, knowledge, educational level and professional status when emailing.
Slide share social media introduction by oliver de leeuw and salmaan (for dow...Oliver de Leeuw
For the training agency DownSideUp, we created an introduction training in 3 most used social media: LinkedIn, Facebook and Twitter. These are some of the supporting slides we used. Do contact us for more info!
Korte inleiding op PentaPolitica.nl, gemaakt voor developers bijeenkomst van het PoliticalMashup project (politicalmashup.nl) gehouden op 19 oktober 2010.
Beschrijving van de momenteel beschikbare data, ’current work’ en plannen voor de toekomst.
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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.
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.
Question Six - What have you learned about technologies from the process of constructing this product?
1. {
What have you learned about
technologies from the process of
constructing this product?
Evaluation Question Six – Kate Garner
2. For this project, I had to set up a blog to
accompany my work on a website called
Blogger which I had never used before.
Throughout the process, I have learnt
how to make and design a blog, post on
it, organise my posts into different labels
(research & planning, production,
evaluation), add videos, embed
presentations, add pictures and
overcome issues with Blogger. For
example, Blogger does not perform well
with internet explorer which was a
problem I had to discover and overcome
through trial and error as well as
internet research, and found that it
performs much better using Firefox.
BLOGGER
3. One of the biggest lessons I had to learn
during this project was to work out how
to use Photoshop effectively. I had
minimal experience of using this
software before the project and it is very
complicated. A lot of what I had to do
came from trial and error or trying to
find tutorials on the internet.
Considering that there were deadlines
for this work, having minimal
knowledge of Photoshop was a huge
disadvantage as trying things, getting
them wrong and doing them again ate
into the time I had available. A positive
was that I accidently stumbled across
some techniques that I didn’t intend to
do but ended up liking. I learnt how to
do a lot of things, but probably the most
important one was editing the
hue/saturation levels on my photos or
using the healing brush tool on close
ups of my models.
PHOTOSHOP
4. I used Publisher to design and layout
my double page spread. This was
probably the technology that I was
most familiar with before the project. I
still learnt new things and encountered
difficulties using this however as I had
never designed an article before. I
learnt how to use the gridlines to fit my
text efficiently and successfully, as well
as the overflow bucket tool so I knew
how much text was missing out and
could easily fill columns with the
overflow text. One of the biggest
difficulties was trying to get all of my
text to fit along with pictures and also
trying to decide which bits of my text
needed to be cut in order to fit without
compromising anything important
from the interview.
PUBLISHER
5. Slideshare was something I had
never used before this project
but it helped me to meet the
brief and keep my blog lively
and varied in terms of
technology and the way I
presented things. It allowed me
to upload PowerPoint
presentations to my blog, which
was very useful. I had never
used the technology before so I
had to learn how to use it but
this wasn’t too hard. The most
difficult thing to learn on
Slideshare was how to embed, as
I had never done this before and
didn’t know where to look for
the embed code.
SLIDESHARE
6. Prezi is another piece of technology I
had never used before prior to this
project. It allowed me to create a
different form of Powerpoint online
that was animated in order to make my
blog diverse and standout. Learning to
use it was quite tricky at times but,
again, the most difficult part was
embedding it into my blog.
PREZI
7. Dafont was a website I used to download
fonts to use on my magazine. I had never
used it before and I learnt how to look for,
preview, download and use fonts. The
hardest part was figuring out how to
preview fonts and also how to download
them so that they could be used on
Photoshop and Publisher.
DAFONT
8. I used a Nikon DSLR camera to take
my pictures in a professional studio
with lighting. I had to learn how to
use the camera and set it up in
accordance with the lighting, which
was difficult. The hardest part of this
was trying to alter the lights in order
to get the best shots and learning
how to do different techniques with
the camera. I also used my phone to
film different videos for my blog and
learnt how to upload videos to
YouTube and embed them into my
blog.
CAMERAS
9. Overall, I feel that I have learnt a lot about technology and how to
use it efficiently and correctly during this project. Technology is
definitely useful when making a magazine, especially Photoshop,
in order to get the product to be the most successful and
professional looking as possible.
CONCLUSION