Megan Kurka, H2O.ai - AutoDoc with H2O Driverless AI - H2O World 2019 NYC

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This talk was recorded in NYC on October 22nd, 2019 and can be viewed here: https://youtu.be/aJJsrQHqsGg AutoDoc with H2O Driverless AI Driverless AI with Auto Doc is the next logical step of the data science workflow by taking the final step of automatically documenting and explaining the processes used by the platform. Auto Doc frees up the user from the time consuming task of documenting and summarizing their workflow while building machine learning models. The resulting documentation provides users with insight into machine learning workflow created by Driverless AI including details about the data used, the validation schema selected, model and feature tuning, and the final model created. With this capability in Driverless AI, users can focus on model insights and results. Bio: Megan is a Customer Data Scientist at H2O. Prior to working at H2O, she worked as a Data Scientist building products driven by machine learning for B2B customers. She has experience working with customers across multiple industries, identifying common problems, and designing robust and automated solutions.

Driverless AI AutoDoc
Megan Kurka
Senior Data Scientist
H2O.ai

Driverless AI

Driverless AI AutoDoc

Experiment Overview

Data Overview

Methodology

Model Tuning
All Models More Details

Features

Final Model

Customization
Model Diagnostics Model Interpretability
• Additional Performance Metrics
• Population Stability Index
• Prediction Statistics per Quantile
• Actual vs Predicted Plots
• GINI Plot
• Diagnostics on New Datasets
• Perform Model Diagnostics on a list of new datasets
• Partial Dependence Plots
• Generate partial dependence plots on the n most
important features
• Includes histogram with frequency of each feature
• Individual Conditional Expectation Plot
• Add partial dependence plot for specific records
only
• Variable Importance
• Calculate variable importance on original features
using Permutation Importance
• Filter variables to top relative importance or top n
features

Population Stability Index
# Calculate PSI
config_overrides += "nautodoc_population_stability_index=true"

Prediction Statistics per Quantile
# Enable the Prediction Statistics for each dataset split
config_overrides += "nautodoc_prediction_stats=true"

Variable Importance
# Enable the permutation feature importance table and plot
config_overrides += "nautodoc_include_permutation_feature_importance=true"

Partial Dependence Plots

Partial Dependence Plots with ICE

Response Rate Plots (Binary Use Cases Only)
# Enable the response rate plot for each dataset split
config_overrides += "nautodoc_response_rate=true"

GINI Plot (Binary Use Cases Only)
# Show the Gini Plot
config_overrides += "nautodoc_gini_plot=true"

Thank You

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Part2 Best Practices for Managing Optimizer Statistics

Part2 Best Practices for Managing Optimizer Statistics

Part2 Best Practices for Managing Optimizer Statistics

Automating end-to-end tests is a tricky business. Many leading practitioners over the years have advised against doing ANY end-to-end test automation. As a result of this, we often see a test automation triangle that recommends a 70/20/10% split between unit, integration, and end-to-end tests to mitigate the traditional associations of the cost of troubleshooting test failures and feedback cycles at each level. But it’s 2019… many of those risks don’t really exist anymore, and the complete end-to-end is the only thing that brings together all components of your app while focusing on the true end-user functionality and experience. The test automation triangle is changing shape. Learning outcomes: - Key pain points of end-to-end test automation and the modern technologies that have eliminated those pains - The unique benefits of end-to-end test automation - Tips to bring home for getting started with end-to-end test automation

StarWest 2019 - End to end testing: Stupid or Legit?

StarWest 2019 - End to end testing: Stupid or Legit?

StarWest 2019 - End to end testing: Stupid or Legit?

IPC Data Analysis and Extraction

IPC Data Analysis and Extraction

IPC Data Analysis and Extraction

Since its beginning, the Performance Advisory Council aims to promote engagement between various experts from around the world, to create relevant, value-added content sharing between members. For Neotys, to strengthen our position as a thought leader in load & performance testing. During this event, 12 participants convened in Chamonix (France) exploring several topics on the minds of today’s performance tester such as DevOps, Shift Left/Right, Test Automation, Blockchain and Artificial Intelligence.

Jonathon Wright - Intelligent Performance Cognitive Learning (AIOps)

Jonathon Wright - Intelligent Performance Cognitive Learning (AIOps)

Jonathon Wright - Intelligent Performance Cognitive Learning (AIOps)

Girish Juneja - Intel Big Data & Cloud Summit 2013

Girish Juneja - Intel Big Data & Cloud Summit 2013

Girish Juneja - Intel Big Data & Cloud Summit 2013

Hercules

Lorenzo Paoliani

Slides by Anton Hristov, Product Manager of mabl. Watch the accompanying webinar: https://www.mabl.com/blog/end-to-end-automation-at-scale Testing end-to-end user scenarios is challenging, yet more important than ever due to increased complexity, variety and importance of user interfaces. Delivering a quality user experience requires taking a holistic view of the end-to-end user journey, which can span across applications, browsers, devices and different modes of interaction such as touch and voice. In this webinar, we will explore different ways mabl can help you create intelligent end-to-end tests that focus on the user journey and run at scale across browsers. No scripting necessary. Learning outcomes: Why we need to shift from quality assurance to quality intelligence How to create intelligent tests quickly to increase coverage What diagnostics information is available for root-cause analysis When and how to reuse a set of steps across multiple tests When and how to apply data-driven (parameterized) testing approach

End to-end test automation at scale

End to-end test automation at scale

End to-end test automation at scale

Advanced analytics integration with python

Advanced analytics integration with python

Advanced analytics integration with python

Paul Van Siclen

Big Data Berlin v8.0 Stream Processing with Apache Apex

Big Data Berlin v8.0 Stream Processing with Apache Apex

Big Data Berlin v8.0 Stream Processing with Apache Apex

Thomas Weise, Apache Apex PMC Member and Architect/Co-Founder, DataTorrent - ...

Thomas Weise, Apache Apex PMC Member and Architect/Co-Founder, DataTorrent - ...

Thomas Weise, Apache Apex PMC Member and Architect/Co-Founder, DataTorrent - ...

Dataconomy Media

Product Overview: An Analytics Primer

Product Overview: An Analytics Primer

Product Overview: An Analytics Primer

GE Digital is undertaking a journey to optimize the reliability, availability, and efficiency of assets in the industrial sector and converge IT and OT. To do so, GE Digital is building cloud-based products that enable customers to analyze the asset data, detect anomalies, and provide recommendations for operating plants efficiently while increasing productivity. In a energy sector such as oil and gas, power, or renewables, a single plant comprises multiple complex assets, such as steam turbines, gas turbines, and compressors, to generate power. Each system contains various sensors to detect the operating conditions of the assets, generating large volumes of variety of data. A highly scalable distributed environment is required to analyze such a large volume of data and provide operating insights in near real time. In this session I will share the challenges encountered when analyzing the large volumes of data, in-stream data analysis and how we standardized the industrial data based on data frames, and performance tuning.

Optimizing industrial operations using the big data ecosystem

Optimizing industrial operations using the big data ecosystem

Optimizing industrial operations using the big data ecosystem

DataWorks Summit

Feature drift monitoring as a service for machine learning models at scale

Feature drift monitoring as a service for machine learning models at scale

Feature drift monitoring as a service for machine learning models at scale

Noriaki Tatsumi

Netvu test slideshow

Netvu test slideshow

Netvu test slideshow

The PAC aims to promote engagement between various experts from around the world, to create relevant, value-added content sharing between members. For Neotys, to strengthen our position as a thought leader in load & performance testing. Since its beginning, the PAC is designed to connect performance experts during a single event. In June, during 24 hours, 20 participants convened exploring several topics on the minds of today’s performance tester such as DevOps, Shift Left/Right, Test Automation, Blockchain and Artificial Intelligence.

Neotys PAC 2018 - Bruno Da Silva

Neotys PAC 2018 - Bruno Da Silva

Neotys PAC 2018 - Bruno Da Silva

Semelhante a Megan Kurka, H2O.ai - AutoDoc with H2O Driverless AI - H2O World 2019 NYC (20)

IBM SPSS Statistics Subscription (월 구독) 제품 구성

IBM SPSS Statistics Subscription (월 구독) 제품 구성

IBM SPSS Statistics Subscription (월 구독) 제품 구성

laptop price prediction presentation

laptop price prediction presentation

laptop price prediction presentation

GridPIQ_Webinar_2018_08_28.pptx

GridPIQ_Webinar_2018_08_28.pptx

GridPIQ_Webinar_2018_08_28.pptx

Week 12 Dimensionality Reduction Bagian 1

Week 12 Dimensionality Reduction Bagian 1

Week 12 Dimensionality Reduction Bagian 1

How to Automate your Enterprise Application / ERP Testing

How to Automate your Enterprise Application / ERP Testing

How to Automate your Enterprise Application / ERP Testing

Part2 Best Practices for Managing Optimizer Statistics

Part2 Best Practices for Managing Optimizer Statistics

Part2 Best Practices for Managing Optimizer Statistics

StarWest 2019 - End to end testing: Stupid or Legit?

StarWest 2019 - End to end testing: Stupid or Legit?

StarWest 2019 - End to end testing: Stupid or Legit?

IPC Data Analysis and Extraction

IPC Data Analysis and Extraction

IPC Data Analysis and Extraction

Jonathon Wright - Intelligent Performance Cognitive Learning (AIOps)

Jonathon Wright - Intelligent Performance Cognitive Learning (AIOps)

Jonathon Wright - Intelligent Performance Cognitive Learning (AIOps)

Girish Juneja - Intel Big Data & Cloud Summit 2013

Girish Juneja - Intel Big Data & Cloud Summit 2013

Girish Juneja - Intel Big Data & Cloud Summit 2013

Hercules

End to-end test automation at scale

End to-end test automation at scale

End to-end test automation at scale

Advanced analytics integration with python

Advanced analytics integration with python

Advanced analytics integration with python

Big Data Berlin v8.0 Stream Processing with Apache Apex

Big Data Berlin v8.0 Stream Processing with Apache Apex

Big Data Berlin v8.0 Stream Processing with Apache Apex

Thomas Weise, Apache Apex PMC Member and Architect/Co-Founder, DataTorrent - ...

Thomas Weise, Apache Apex PMC Member and Architect/Co-Founder, DataTorrent - ...

Thomas Weise, Apache Apex PMC Member and Architect/Co-Founder, DataTorrent - ...

Product Overview: An Analytics Primer

Product Overview: An Analytics Primer

Product Overview: An Analytics Primer

Optimizing industrial operations using the big data ecosystem

Optimizing industrial operations using the big data ecosystem

Optimizing industrial operations using the big data ecosystem

Feature drift monitoring as a service for machine learning models at scale

Feature drift monitoring as a service for machine learning models at scale

Feature drift monitoring as a service for machine learning models at scale

Netvu test slideshow

Netvu test slideshow

Netvu test slideshow

Neotys PAC 2018 - Bruno Da Silva

Neotys PAC 2018 - Bruno Da Silva

Neotys PAC 2018 - Bruno Da Silva

Mais de Sri Ambati

H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day

H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day

H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day

Generative AI Masterclass - Model Risk Management.pptx

Generative AI Masterclass - Model Risk Management.pptx

Generative AI Masterclass - Model Risk Management.pptx

AI and the Future of Software Development: A Sneak Peek

AI and the Future of Software Development: A Sneak Peek

AI and the Future of Software Development: A Sneak Peek

LLMOps: Match report from the top of the 5th

LLMOps: Match report from the top of the 5th

LLMOps: Match report from the top of the 5th

Building, Evaluating, and Optimizing your RAG App for Production

Building, Evaluating, and Optimizing your RAG App for Production

Building, Evaluating, and Optimizing your RAG App for Production

Sandeep Singh, Head of Applied AI Computer Vision, Beans.ai H2O Open Source GenAI World SF 2023 In the modern era of machine learning, leveraging both open-source and closed-source solutions has become paramount for achieving cutting-edge results. This talk delves into the intricacies of seamlessly integrating open-source Large Language Model (LLM) solutions like Vicuna, Falcon, and Llama with industry giants such as ChatGPT and Google's Palm. As the demand for fine-tuned and specialized datasets grows, it is imperative to understand the synergy between these tools. Attendees will gain insights into best practices for building and enriching datasets tailored for fine-tuning tasks, ensuring that their LLM projects are both robust and efficient. Through real-world examples and hands-on demonstrations, this talk will equip attendees with the knowledge to harness the power of both open and closed-source tools in a coherent and effective manner.

Building LLM Solutions using Open Source and Closed Source Solutions in Coher...

Building LLM Solutions using Open Source and Closed Source Solutions in Coher...

Building LLM Solutions using Open Source and Closed Source Solutions in Coher...

Patrick Hall, Professor, AI Risk Management, The George Washington University H2O Open Source GenAI World SF 2023 Language models are incredible engineering breakthroughs but require auditing and risk management before productization. These systems raise concerns about toxicity, transparency and reproducibility, intellectual property licensing and ownership, disinformation and misinformation, supply chains, and more. How can your organization leverage these new tools without taking on undue or unknown risks? While language models and associated risk management are in their infancy, a small number of best practices in governance and risk are starting to emerge. If you have a language model use case in mind, want to understand your risks, and do something about them, this presentation is for you!

Risk Management for LLMs

Risk Management for LLMs

Risk Management for LLMs

Dr. Alexy Khrabrov, Open Source Science Community Director, IBM H2O Open Source GenAI World SF 2023 In this talk, Dr. Alexy Khrabrov, recently elected Chair of the new Generative AI Commons at Linux Foundation for AI & Data, outlines the OSS AI landscape, challenges, and opportunities. With new models and frameworks being unveiled weekly, one thing remains constant: community building and validation of all aspects of AI is key to reliable and responsible AI we can use for business and society needs. Industrial AI is one key area where such community validation can prove invaluable.

Open-Source AI: Community is the Way

Open-Source AI: Community is the Way

Open-Source AI: Community is the Way

Building Custom GenAI Apps at H2O

Building Custom GenAI Apps at H2O

Building Custom GenAI Apps at H2O

Megan Kurka, Vice President, Customer Data Scientist, H2O.ai H2O Open Source GenAI World SF 2023 Discover the transformative power of Applied Gen AI. Learn how the H2O team builds customized applications and workflows that integrate capabilities of Gen AI and AutoML specifically designed to address and enhance financial use cases. Explore real world examples, learn best practices, and witness firsthand how our innovative solutions are reshaping the landscape of finance technology.

Applied Gen AI for the Finance Vertical

Applied Gen AI for the Finance Vertical

Applied Gen AI for the Finance Vertical

Cutting Edge Tricks from LLM Papers

Cutting Edge Tricks from LLM Papers

Cutting Edge Tricks from LLM Papers

Pascal Pfeiffer, Principal Data Scientist, H2O.ai H2O Open Source GenAI World SF 2023 This talk dives into the expansive ecosystem of Large Language Models (LLMs), offering practitioners an insightful guide to various relevant applications, from natural language understanding to creative content generation. While exploring use cases across different industries, it also honestly addresses the current limitations of LLMs and anticipates future advancements.

Practitioner's Guide to LLMs: Exploring Use Cases and a Glimpse Beyond Curren...

Practitioner's Guide to LLMs: Exploring Use Cases and a Glimpse Beyond Curren...

Practitioner's Guide to LLMs: Exploring Use Cases and a Glimpse Beyond Curren...

Open Source h2oGPT with Retrieval Augmented Generation (RAG), Web Search, and...

Open Source h2oGPT with Retrieval Augmented Generation (RAG), Web Search, and...

Open Source h2oGPT with Retrieval Augmented Generation (RAG), Web Search, and...

KGM Mastering Classification and Regression with LLMs: Insights from Kaggle C...

KGM Mastering Classification and Regression with LLMs: Insights from Kaggle C...

KGM Mastering Classification and Regression with LLMs: Insights from Kaggle C...

LLM Interpretability

LLM Interpretability

LLM Interpretability

Never Reply to an Email Again

Never Reply to an Email Again

Never Reply to an Email Again

Introducción al Aprendizaje Automatico con H2O-3 (1)

Introducción al Aprendizaje Automatico con H2O-3 (1)

Introducción al Aprendizaje Automatico con H2O-3 (1)

Numerai is an open, crowd-sourced hedge fund powered by predictions from data scientists around the world. In return, participants are rewarded with weekly payouts in crypto. In this talk, Joe will give an overview of the Numerai tournament based on his own experience. He will then explain how he automates the time-consuming tasks such as testing different modelling strategies, scoring new datasets, submitting predictions to Numerai as well as monitoring model performance with H2O Driverless AI and R.

From Rapid Prototypes to an end-to-end Model Deployment: an AI Hedge Fund Use...

From Rapid Prototypes to an end-to-end Model Deployment: an AI Hedge Fund Use...

From Rapid Prototypes to an end-to-end Model Deployment: an AI Hedge Fund Use...

In this session, you will learn about what you should do after you’ve taken an AI transformation baseline. Over the span of this session, we will discuss the next steps in moving toward AI readiness through alignment of talent and tools to drive successful adoption and continuous use within an organization. To find additional videos on AI courses, earn badges, join the courses at H2O.ai Learning Center: https://training.h2o.ai/products/ai-foundations-course To find the Youtube video about this presentation: https://youtu.be/K1Cl3x3rd8g Speaker: Chemere Davis (H2O.ai - Senior Data Scientist Training Specialist)

AI Foundations Course Module 1 - Shifting to the Next Step in Your AI Transfo...

AI Foundations Course Module 1 - Shifting to the Next Step in Your AI Transfo...

AI Foundations Course Module 1 - Shifting to the Next Step in Your AI Transfo...

The chances of successfully implementing AI strategies within an organization significantly improve when you can recognize where your organization is on the maturity scale. Over this course, you will learn the keys to unlocking value with AI which include asking the right questions about the problems you are solving and ensuring you have the right cross-section of talent, tools, and resources. By the end of this module, you should be able to recognize where your organization is on the AI transformation spectrum and identify some strategies that can get you to the next stage in your journey. To find additional videos on AI courses, earn badges, join the courses at H2O.ai Learning Center: https://training.h2o.ai/products/ai-foundations-course To find the Youtube video about this presentation: https://youtu.be/PJgr2epM6qs Speakers: Chemere Davis (H2O.ai - Senior Data Scientist Training Specialist) Ingrid Burton (H2O.ai - CMO)

AI Foundations Course Module 1 - An AI Transformation Journey

AI Foundations Course Module 1 - An AI Transformation Journey

AI Foundations Course Module 1 - An AI Transformation Journey

Mais de Sri Ambati (20)

H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day

H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day

H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day

Generative AI Masterclass - Model Risk Management.pptx

Generative AI Masterclass - Model Risk Management.pptx

Generative AI Masterclass - Model Risk Management.pptx

AI and the Future of Software Development: A Sneak Peek

AI and the Future of Software Development: A Sneak Peek

AI and the Future of Software Development: A Sneak Peek

LLMOps: Match report from the top of the 5th

LLMOps: Match report from the top of the 5th

LLMOps: Match report from the top of the 5th

Building, Evaluating, and Optimizing your RAG App for Production

Building, Evaluating, and Optimizing your RAG App for Production

Building, Evaluating, and Optimizing your RAG App for Production

Building LLM Solutions using Open Source and Closed Source Solutions in Coher...

Building LLM Solutions using Open Source and Closed Source Solutions in Coher...

Building LLM Solutions using Open Source and Closed Source Solutions in Coher...

Risk Management for LLMs

Risk Management for LLMs

Risk Management for LLMs

Open-Source AI: Community is the Way

Open-Source AI: Community is the Way

Open-Source AI: Community is the Way

Building Custom GenAI Apps at H2O

Building Custom GenAI Apps at H2O

Building Custom GenAI Apps at H2O

Applied Gen AI for the Finance Vertical

Applied Gen AI for the Finance Vertical

Applied Gen AI for the Finance Vertical

Cutting Edge Tricks from LLM Papers

Cutting Edge Tricks from LLM Papers

Cutting Edge Tricks from LLM Papers

Practitioner's Guide to LLMs: Exploring Use Cases and a Glimpse Beyond Curren...

Practitioner's Guide to LLMs: Exploring Use Cases and a Glimpse Beyond Curren...

Practitioner's Guide to LLMs: Exploring Use Cases and a Glimpse Beyond Curren...

Open Source h2oGPT with Retrieval Augmented Generation (RAG), Web Search, and...

Open Source h2oGPT with Retrieval Augmented Generation (RAG), Web Search, and...

Open Source h2oGPT with Retrieval Augmented Generation (RAG), Web Search, and...

KGM Mastering Classification and Regression with LLMs: Insights from Kaggle C...

KGM Mastering Classification and Regression with LLMs: Insights from Kaggle C...

KGM Mastering Classification and Regression with LLMs: Insights from Kaggle C...

LLM Interpretability

LLM Interpretability

LLM Interpretability

Never Reply to an Email Again

Never Reply to an Email Again

Never Reply to an Email Again

Introducción al Aprendizaje Automatico con H2O-3 (1)

Introducción al Aprendizaje Automatico con H2O-3 (1)

Introducción al Aprendizaje Automatico con H2O-3 (1)

From Rapid Prototypes to an end-to-end Model Deployment: an AI Hedge Fund Use...

From Rapid Prototypes to an end-to-end Model Deployment: an AI Hedge Fund Use...

From Rapid Prototypes to an end-to-end Model Deployment: an AI Hedge Fund Use...

AI Foundations Course Module 1 - Shifting to the Next Step in Your AI Transfo...

AI Foundations Course Module 1 - Shifting to the Next Step in Your AI Transfo...

AI Foundations Course Module 1 - Shifting to the Next Step in Your AI Transfo...

AI Foundations Course Module 1 - An AI Transformation Journey

AI Foundations Course Module 1 - An AI Transformation Journey

AI Foundations Course Module 1 - An AI Transformation Journey

Último

Tata AIG General Insurance Company - Insurer Innovation Award 2024

Tata AIG General Insurance Company - Insurer Innovation Award 2024

Tata AIG General Insurance Company - Insurer Innovation Award 2024

The Digital Insurer

What are drone anti-jamming systems? The drone anti-jamming systems and anti-spoof technology protect against interference, jamming, and spoofing of the UAVs. To protect their security, countries are beginning to research drone anti-jamming systems, also known as drone strike weapons. The anti-jam and anti-spoof technology protects against interference, jamming and spoofing. A drone strike weapon is a drone attack weapon that can attack and destroy enemy drones. So what is so unique about this amazing system?

What Are The Drone Anti-jamming Systems Technology?

What Are The Drone Anti-jamming Systems Technology?

What Are The Drone Anti-jamming Systems Technology?

Antenna Manufacturer Coco

This presentations targets students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many developer tools, platforms & APIs? This comprehensive yet still high-level overview outlines the most impactful tools for where to run your code, store & analyze your data. It will also inspire you as to what's possible. This talk is 50 minutes in length.

Powerful Google developer tools for immediate impact! (2023-24 C)

Powerful Google developer tools for immediate impact! (2023-24 C)

Powerful Google developer tools for immediate impact! (2023-24 C)

Discord is a free app offering voice, video, and text chat functionalities, primarily catering to the gaming community. It serves as a hub for users to create and join servers tailored to their interests. Discord’s ecosystem comprises servers, each functioning as a distinct online community with its own channels dedicated to specific topics or activities. Users can engage in text-based discussions, voice calls, or video chats within these channels. Understanding Discord Servers Discord servers are virtual spaces where users congregate to interact, share content, and build communities. Servers may revolve around gaming, hobbies, interests, or fandoms, providing a platform for like-minded individuals to connect. Communication Features Discord offers a range of communication tools, including text channels for messaging, voice channels for real-time audio conversations, and video channels for face-to-face interactions. These features facilitate seamless communication and collaboration. What Does NSFW Mean? The acronym NSFW stands for “Not Safe For Work,” indicating content that may be inappropriate for professional or public settings. NSFW Content NSFW content encompasses material that is sexually explicit, violent, or otherwise graphic in nature. It often includes nudity, profanity, or depictions of sensitive topics.

Understanding Discord NSFW Servers A Guide for Responsible Users.pdf

Understanding Discord NSFW Servers A Guide for Responsible Users.pdf

Understanding Discord NSFW Servers A Guide for Responsible Users.pdf

Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.

Exploring the Future Potential of AI-Enabled Smartphone Processors

Exploring the Future Potential of AI-Enabled Smartphone Processors

Exploring the Future Potential of AI-Enabled Smartphone Processors

The 7 Things I Know About Cyber Security After 25 Years | April 2024

The 7 Things I Know About Cyber Security After 25 Years | April 2024

The 7 Things I Know About Cyber Security After 25 Years | April 2024

Microsoft's Threat Matrix for Kubernetes helps organizations understand the attack surface a Kubernetes deployment introduces to their environments. This ensures that adequate detections and mitigations are in place. By covering over 40 different attacker techniques, defenders can learn about Kubernetes-specific mitigations and controls to deploy to their environments. In this session, we will explore the MS-TA9013 Host Path Mount technique, which is commonly used by attackers to perform privilege escalation in a Kubernetes cluster. Attendees will learn how attackers and defenders can: * Escape the container's host volume mount to gain persistence on an underlying node * Move laterally from the underlying node into the customer's cloud environment * Analyze Kubernetes audit logs to detect pods deployed with a hostPath mount * Deploy an admission controller that prevents new pods from using a hostPath mount

Breaking the Kubernetes Kill Chain: Host Path Mount

Breaking the Kubernetes Kill Chain: Host Path Mount

Breaking the Kubernetes Kill Chain: Host Path Mount

Puma Security, LLC

Enterprise Knowledge’s Urmi Majumder, Principal Data Architecture Consultant, and Fernando Aguilar Islas, Senior Data Science Consultant, presented "Driving Behavioral Change for Information Management through Data-Driven Green Strategy" on March 27, 2024 at Enterprise Data World (EDW) in Orlando, Florida. In this presentation, Urmi and Fernando discussed a case study describing how the information management division in a large supply chain organization drove user behavior change through awareness of the carbon footprint of their duplicated and near-duplicated content, identified via advanced data analytics. Check out their presentation to gain valuable perspectives on utilizing data-driven strategies to influence positive behavioral shifts and support sustainability initiatives within your organization. In this session, participants gained answers to the following questions: - What is a Green Information Management (IM) Strategy, and why should you have one? - How can Artificial Intelligence (AI) and Machine Learning (ML) support your Green IM Strategy through content deduplication? - How can an organization use insights into their data to influence employee behavior for IM? - How can you reap additional benefits from content reduction that go beyond Green IM?

Driving Behavioral Change for Information Management through Data-Driven Gree...

Driving Behavioral Change for Information Management through Data-Driven Gree...

Driving Behavioral Change for Information Management through Data-Driven Gree...

Enterprise Knowledge

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How to convert PDF to text with Nanonets

How to convert PDF to text with Nanonets

How to convert PDF to text with Nanonets

Building Digital Trust in a Digital Economy Veronica Tan, Director - Cyber Security Agency of Singapore Apidays Singapore 2024: Connecting Customers, Business and Technology (April 17 & 18, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

Axa Assurance Maroc - Insurer Innovation Award 2024

Axa Assurance Maroc - Insurer Innovation Award 2024

Axa Assurance Maroc - Insurer Innovation Award 2024

The Digital Insurer

Automating Google Workspace (GWS) & more with Apps Script

Automating Google Workspace (GWS) & more with Apps Script

Automating Google Workspace (GWS) & more with Apps Script

Presentation on how to chat with PDF using ChatGPT code interpreter

Presentation on how to chat with PDF using ChatGPT code interpreter

Presentation on how to chat with PDF using ChatGPT code interpreter

How to Troubleshoot Apps for the Modern Connected Worker

How to Troubleshoot Apps for the Modern Connected Worker

How to Troubleshoot Apps for the Modern Connected Worker

2024: Domino Containers - The Next Step. News from the Domino Container commu...

2024: Domino Containers - The Next Step. News from the Domino Container commu...

2024: Domino Containers - The Next Step. News from the Domino Container commu...

Martijn de Jong

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[2024]Digital Global Overview Report 2024 Meltwater.pdf

[2024]Digital Global Overview Report 2024 Meltwater.pdf

[2024]Digital Global Overview Report 2024 Meltwater.pdf

In an era where artificial intelligence (AI) stands at the forefront of business innovation, Information Architecture (IA) is at the core of functionality. See “There’s No AI Without IA” – (from 2016 but even more relevant today) Understanding and leveraging how Information Architecture (IA) supports AI synergies between knowledge engineering and prompt engineering is critical for senior leaders looking to successfully deploy AI for internal and externally facing knowledge processes. This webinar be a high-level overview of the methodologies that can elevate AI-driven knowledge processes supporting both employees and customers. Core Insights Include: Strategic Knowledge Engineering: Delve into how structuring AI's knowledge base is required to prevent hallucinations, enable contextual retrieval of accurate information. This will include discussion of gold standard libraries of use cases support testing various LLMs and structures and configurations of knowledge base. Precision in Prompt Engineering: Learn the art of crafting prompts that direct AI to deliver targeted, relevant responses, thereby optimizing customer experiences and business outcomes. Unified Approach for Enhanced AI Performance: Explore the intersection of knowledge and prompt engineering to develop AI systems that are not only more responsive but also aligned with overarching business strategies. Guiding Principles for Implementation: Equip yourself with best practices, ethical guidelines, and strategic considerations for embedding these technologies into your business ecosystem effectively. This webinar is designed to empower business and technology leaders with the knowledge to harness the full potential of AI, ensuring their organizations not only keep pace with digital transformation but lead the charge. Join us to map a roadmap to fully leverage Information Architecture (IA) and AI chart a course towards a future where AI is a key pillar of strategic innovation and business success.

EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx

EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx

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Earley Information Science

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EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx

EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx

EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx

Handwritten Text Recognition for manuscripts and early printed texts

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Megan Kurka, H2O.ai - AutoDoc with H2O Driverless AI - H2O World 2019 NYC

1. Driverless AI AutoDoc Megan Kurka Senior Data Scientist H2O.ai

2. Driverless AI

3. Driverless AI AutoDoc

4. Experiment Overview

5. Data Overview

7. Model Tuning All Models More Details

10. Customization Model Diagnostics Model Interpretability • Additional Performance Metrics • Population Stability Index • Prediction Statistics per Quantile • Actual vs Predicted Plots • GINI Plot • Diagnostics on New Datasets • Perform Model Diagnostics on a list of new datasets • Partial Dependence Plots • Generate partial dependence plots on the n most important features • Includes histogram with frequency of each feature • Individual Conditional Expectation Plot • Add partial dependence plot for specific records only • Variable Importance • Calculate variable importance on original features using Permutation Importance • Filter variables to top relative importance or top n features

11. Population Stability Index # Calculate PSI config_overrides += "nautodoc_population_stability_index=true"

12. Prediction Statistics per Quantile # Enable the Prediction Statistics for each dataset split config_overrides += "nautodoc_prediction_stats=true"

13. Variable Importance # Enable the permutation feature importance table and plot config_overrides += "nautodoc_include_permutation_feature_importance=true"

14. Partial Dependence Plots

15. Partial Dependence Plots with ICE

16. Response Rate Plots (Binary Use Cases Only) # Enable the response rate plot for each dataset split config_overrides += "nautodoc_response_rate=true"

17. GINI Plot (Binary Use Cases Only) # Show the Gini Plot config_overrides += "nautodoc_gini_plot=true"