Big Data Day LA 2015 - Deep Learning Human Vocalized Animal Sounds by Sabri Sansoy of Deustch Advertising
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Investigated a couple audio based, deep learning strategies for identifying human vocalized car sounds. In one case Mel Frequency Cepstral Coefficients, MFCCs, were used as inputs into a supervised, logistic regression neural network. In a separate case, Short Term Fourier Transforms ,STFT, were used to generate PCA whitened spectograms, which were used as inputs into a supervised, convolutional neural network. The MFCC method trained quickly on a relative small dataset of 4 sounds. The STFT method resulted in a much larger input matrix, resulting in much longer times for converging onto a solution
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For modern data teams, lineage is a critical component of the data pipeline root cause and impact analysis workflow, as well as a means of ensuring that data, models, and other data assets are healthy and reliable. That being said, the complexity of SQL queries can make it challenging to build lineage manually, particularly at the field level. Xuanzi Han, a member of Monte Carlo's data and product teams, tackled this challenge head-on by leveraging some of the most popular tools in the modern data stack, including dbt, Airflow, Snowflake, and ANother Tool for Language Recognition (ANTLR). In this talk, they share how they designed the data model, query parser, and larger database design for field-level lineage, highlighting learnings, wrong turns, and best practices developed along the way.
Data Con LA 2022 - Finding true purpose after falling to addiction, and inspi...
David Sarabia, Founder/ CEO at inRecovery & Sig Narvaez, Executive Solution Architect at MongoDB
As a bullied kid, I found refuge in computers and taught myself to code at 8. By 26, I had two successful tech exits and moved to NYC. A weekend party habit led to daily drug use and a spiral to heroin and homelessness. In 2016, after a friend�s overdose woke me up. I checked myself into rehab and quickly realized I was there for a bigger purpose.
Healthcare is very broken. From legacy systems, inefficiencies, and poor customer experience. What if we could dramatically improve care models by leveraging data, personalizing treatment, and creating beautiful patient experiences?
Ever worked in an industry that felt antiquated? Learn how we use MongoDB to transform addiction care and help people thrive in life!
Data Con LA 2022 - Supercharge your Snowflake Data Cloud from a Snowflake Dat...
Frank Bell, Data Thought Leader and Snowflake SME at Accenture - CEO at ITS
We will cover all aspects of optimizing your Snowflake Data Cloud including:
*Dive deep into how Snowflake pay as you go costs work and how by utilizing our proven optimization tools - Snoptimizer SaaS Snowflake Optimizer - https://snoptimizer.com/
, scripts, and architecture techniques you typically can save 10-40++% on your existing Snowflake Account costs.
*Explain how Snowflake Compute works and proven techniques on how to architect warehouses for both cost and performance efficiency. We cover in depth how snowflake scales BOTH out and in as well as up and down with compute resources.
*Explain how Snowflake data storage works with Replication, Time-Travel, and Cloning. We explain these awesome features as well as their downsides if they are used and configured wrongly.
*Cover Snowflake cloud services costs and features that have costs related to them, including Snowpipe, Search Optimization, Materialized Views, Auto-clustering, and other recent new cost based features that provide value at a cost.
*Finally, we will discuss how you can ensure your Snowflake Account(s) are fully optimized not just for cost but also for security and performance on Snowflake. We will show you security and performance best practices as well as pitfalls to avoid.
Data Con LA 2022 - The Evolution of AI in Cybersecurity
Michael Melore, Senior Cybersecurity Advisor, IBM
The session will include views from the panel (and myself) * Review the current challenges, volumes of events, staffing shortages, expertise deficiencies, siloed security controls, * Provide statistics from recent Ponemon Institute reports including the recent Cost of a Data Breach 2021 Report's findings in attack vectors, response/organizational impact and costs attributed to remote workforces, * Provide The impact in cost and response times of AI/Machine Learning etc. * Share the way's AI is used in law enforcement and critical infrastructure protection, * Discuss AI bias and evolving Trust and Validation requirements in AI systems, the necessity and value of AI insight to security and where the industry is moving in AI for security.
Data Con LA 2022 - Who Owns That Yacht? How Graphs Are Used to Identify Asset...
Mark Quinsland, Sr. Field Engineer at Neo4j
Luxury yachts, football teams, and mansions are no longer safe havens for the illicit profits of Russian Oligarchs with ties to Putin. Assets are being identified and seized with benefits flowing to causes in Ukraine. This presentation covers:
- How are friends and relatives of Putin sheltering immense profits
- Graphs and other tools being used to identify sources & destinations of illicit wealth
- Latest asset seizures
- New regulations to expose hidden investors
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Data Con LA 2022 - Real world consumer segmentation
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Data Con LA 2022 - Collaborative Data Exploration using Conversational AI
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Data Con LA 2022 - How are NFTs and DeFi Changing Entertainment
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Data Con LA 2022-Perfect Viral Ad prediction of Superbowl 2022 using Tease, T...
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Data Con LA 2022- Embedding medical journeys with machine learning to improve...
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Data Con LA 2022 - Building Field-level Lineage from Scratch for Modern Data ...
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Data Con LA 2022 - Finding true purpose after falling to addiction, and inspi...
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Data Con LA 2022 - Supercharge your Snowflake Data Cloud from a Snowflake Dat...
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Data Con LA 2022 - The Evolution of AI in Cybersecurity
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