Data Con LA 2020
Description
More and more organizations are embracing AI technology by infusing it in their products and services to to differentiate themselves against their competitors. AI is being utilized in some sensitive areas of human life. In this session let's look at some of principles governing adoption of AI in a responsible manner. Why companies are accelerating adoption of AI?
Increasingly organization are accelerating adoption of AI to differentiate their product and services in the market. Outcomes of this digital transformation that we have seen in the areas of optimizing operations, engaging customers, empowering employees and transforming their products and services.
*List some of the sensitive use cases where AI is being applied
*Why governing AI is important and what are those principles?
*How Microsoft is approaching it?
Speaker
Suresh Paulraj, Microsoft, Principal Cloud Solution Architect Data & AI
Cognizant Making AI Real with MicrosoftSteve Lennon
1) The document discusses Howard Gardner's theory of multiple intelligences and how combining human and artificial intelligences could lead to "hyper-intelligences."
2) It examines challenges around developing general artificial intelligence and ensuring AI is developed and applied safely, ethically and for the benefit of humanity.
3) The document outlines a partnership between Cognizant and Microsoft to jointly develop and apply cognitive services and artificial intelligence.
In this deck from the HPC User Forum, Rick Stevens from Argonne presents: AI for Science.
"Artificial Intelligence (AI) is making strides in transforming how we live. From the tech industry embracing AI as the most important technology for the 21st century to governments around the world growing efforts in AI, initiatives are rapidly emerging in the space. In sync with these emerging initiatives including U.S. Department of Energy efforts, Argonne has launched an “AI for Science” initiative aimed at accelerating the development and adoption of AI approaches in scientific and engineering domains with the goal to accelerate research and development breakthroughs in energy, basic science, medicine, and national security, especially where we have significant volumes of data and relatively less developed theory. AI methods allow us to discover patterns in data that can lead to experimental hypotheses and thus link data driven methods to new experiments and new understanding."
Watch the video: https://wp.me/p3RLHQ-kQi
Learn more: https://www.anl.gov/topic/science-technology/artificial-intelligence
and
http://hpcuserforum.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
[DSC Europe 23] Tamara Stankovic - From Prompt To Product Microsoft 365 Copil...DataScienceConferenc1
Microsoft 365 Copilot is an AI assistant created by Microsoft to be helpful, harmless, and honest. It combines a large language model with data from Microsoft 365 services like Outlook, Teams, and the Microsoft Graph to provide contextual responses and suggestions. Copilot aims to unlock productivity and creativity within Microsoft 365 apps while prioritizing privacy, security, and responsible AI practices like interpretability and oversight.
Introduction to Artificial IntelligenceHassanBadawy1
Artificial intelligence (AI) involves techniques that enable computers to mimic human intelligence, with machine learning (ML) as a subset that uses statistical algorithms to learn without being programmed. Deep learning (DL) is a subset of ML that mimics the human brain's neural networks to adapt and learn from large amounts of data using artificial neural networks. Some applications of AI include medical diagnosis systems, self-driving cars, image classification through computer vision, personal assistants through natural language processing, and precision agriculture.
Data Con LA 2020
Description
More and more organizations are embracing AI technology by infusing it in their products and services to to differentiate themselves against their competitors. AI is being utilized in some sensitive areas of human life. In this session let's look at some of principles governing adoption of AI in a responsible manner. Why companies are accelerating adoption of AI?
Increasingly organization are accelerating adoption of AI to differentiate their product and services in the market. Outcomes of this digital transformation that we have seen in the areas of optimizing operations, engaging customers, empowering employees and transforming their products and services.
*List some of the sensitive use cases where AI is being applied
*Why governing AI is important and what are those principles?
*How Microsoft is approaching it?
Speaker
Suresh Paulraj, Microsoft, Principal Cloud Solution Architect Data & AI
Cognizant Making AI Real with MicrosoftSteve Lennon
1) The document discusses Howard Gardner's theory of multiple intelligences and how combining human and artificial intelligences could lead to "hyper-intelligences."
2) It examines challenges around developing general artificial intelligence and ensuring AI is developed and applied safely, ethically and for the benefit of humanity.
3) The document outlines a partnership between Cognizant and Microsoft to jointly develop and apply cognitive services and artificial intelligence.
In this deck from the HPC User Forum, Rick Stevens from Argonne presents: AI for Science.
"Artificial Intelligence (AI) is making strides in transforming how we live. From the tech industry embracing AI as the most important technology for the 21st century to governments around the world growing efforts in AI, initiatives are rapidly emerging in the space. In sync with these emerging initiatives including U.S. Department of Energy efforts, Argonne has launched an “AI for Science” initiative aimed at accelerating the development and adoption of AI approaches in scientific and engineering domains with the goal to accelerate research and development breakthroughs in energy, basic science, medicine, and national security, especially where we have significant volumes of data and relatively less developed theory. AI methods allow us to discover patterns in data that can lead to experimental hypotheses and thus link data driven methods to new experiments and new understanding."
Watch the video: https://wp.me/p3RLHQ-kQi
Learn more: https://www.anl.gov/topic/science-technology/artificial-intelligence
and
http://hpcuserforum.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
[DSC Europe 23] Tamara Stankovic - From Prompt To Product Microsoft 365 Copil...DataScienceConferenc1
Microsoft 365 Copilot is an AI assistant created by Microsoft to be helpful, harmless, and honest. It combines a large language model with data from Microsoft 365 services like Outlook, Teams, and the Microsoft Graph to provide contextual responses and suggestions. Copilot aims to unlock productivity and creativity within Microsoft 365 apps while prioritizing privacy, security, and responsible AI practices like interpretability and oversight.
Introduction to Artificial IntelligenceHassanBadawy1
Artificial intelligence (AI) involves techniques that enable computers to mimic human intelligence, with machine learning (ML) as a subset that uses statistical algorithms to learn without being programmed. Deep learning (DL) is a subset of ML that mimics the human brain's neural networks to adapt and learn from large amounts of data using artificial neural networks. Some applications of AI include medical diagnosis systems, self-driving cars, image classification through computer vision, personal assistants through natural language processing, and precision agriculture.
在 PIXNET 研究組裡,有許多數據和 AI 研究結果需要提供服務給公司使用,但是早期服務設計和部署需要後端和維運團隊介入。在深度結合 Google Cloud Platform 提供的各種服務後,現在系統開發和維運可以由研究團隊自主控制,並且結合 App Engine 導流功能開發各種 A/B Test 的可能性,達到 AI 服務的優化。
How Enterprises Leverage Data to Overcome Business Challenges During CoronavirusDenodo
Watch full webinar here: https://bit.ly/2Jgb1uc
Coronavirus is spreading all over the world and has big impact on all the industries. How to acquire latest virus information from different countries and regions in real time to help organizations strategically plan and take actions accordingly and timely becomes very important.
Attend this webinar to learn:
- How business department acquires trustworthy data, gain deeper insights and fasten decision making
- How IT easily supports dynamic business requirements in real time
在 PIXNET 研究組裡,有許多數據和 AI 研究結果需要提供服務給公司使用,但是早期服務設計和部署需要後端和維運團隊介入。在深度結合 Google Cloud Platform 提供的各種服務後,現在系統開發和維運可以由研究團隊自主控制,並且結合 App Engine 導流功能開發各種 A/B Test 的可能性,達到 AI 服務的優化。
How Enterprises Leverage Data to Overcome Business Challenges During CoronavirusDenodo
Watch full webinar here: https://bit.ly/2Jgb1uc
Coronavirus is spreading all over the world and has big impact on all the industries. How to acquire latest virus information from different countries and regions in real time to help organizations strategically plan and take actions accordingly and timely becomes very important.
Attend this webinar to learn:
- How business department acquires trustworthy data, gain deeper insights and fasten decision making
- How IT easily supports dynamic business requirements in real time
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選擇性作者自動加密
– 管理者設定加密保護功能,讓防制資料外洩機
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機密文件作者:自動加密
非機密文件作者:不自動加密
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