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Data-Driven Pitch Deck Examples for Inspiring the Next Big Screenwriter

Smart Data Collective

Fast Company wrote about this back in 2013 when they said that Big Data is Rewriting Hollywood Scripts. You need to step up your presentation by using these investor pitch deck examples ! If you can write your ideas and script on a piece of paper, then you can use big data and AI technology to create visuals for the presentation.

Big Data 291
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7 Advantages of Using Encryption Technology for Data Protection

Smart Data Collective

That same year, as well as in 2013, there were two separate instances of more data loss via misplaced USB drives. A 2019 study presented by Ponemon Institute found that, during the fiscal year 2018, 45% of the companies polled reported having an overall encryption strategy applied consistently across their organizations.

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How The NBA Data And Analytics Revolution Has Changed The Game

Smart Data Collective

Fast forward to the present day, and data science and data analytics are being used in virtually every single sport. It wasn’t until the 2013-2014 season that the NBA gave SportsVu (the brand name of the video tracking tool) to every NBA arena. In the early stages of basketball, there was very little use for data and analytics.

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A CMO’s Response to the 2013 Data-Driven Marketing Survey

Domo

When I got the results of Domo’s 2013 Data-Driven Marketing Survey, I wanted to be shocked. As a CMO, I know that I need more information than what comes in static reports through email, presentations or spreadsheets. The disparity between what marketers need and what they have is as wide as ever. It’s the 21 st century!

Digital 52
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The Past, Present, and Future of Scrum

Netmind

Scrum’s long history began 25 years ago when the Scrum framework was officially presented at OOSPLA 1995. The Scrum Guide editions: since 2010 there have been seven editions of the Scrum Guide (2010, July 2011, October 2011, 2013, 2016, 2017, and 2020). The Present. Since then, Scrum has evolved – a lot. See our Scrum Catalog.

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Overcoming Common Challenges in Natural Language Processing

Sisense

In NLP, tokenization is important as the essence of a text can be easily interpreted by analysis of tokens present in it. While training a model for NLP, words not present in the training data commonly appear in the test data. Semantic meaning of words. Another common challenge is the semantic meaning of words.

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Celebrating Women in Data Visualization

Juice Analytics

Lea Pica: Lea Pica is known worldwide as a data presentation guru, or as she describes herself, “Let me be your Slide Sherpa. Your guide on the exciting road to presentation enlightenment.” She became a self-taught visualization expert and now, she’s among the ‘leading ladies’ of the data visualization and presentation world!