If you were unable to attend GTC 2019 or couldn't make it to all of the sessions you had on your list, check out the top four DGX POD sessions from the conference on-demand.
In this special edition of "This week in Data Science," we focus on the top 5 sessions for data scientists from GTC 2019, with links to the free sessions available on demand.
NVIDIA CEO Jensen Huang's keynote address at the GPU Technology Conference 2019 (#GTC19) in Silicon Valley, where he introduced breakthroughs in pro graphics with NVIDIA Omniverse; in data science with NVIDIA-powered Data Science Workstations; in inference and enterprise computing with NVIDIA T4 GPU-powered servers; in autonomous machines with NVIDIA Jetson Nano and the NVIDIA Isaac SDK; in autonomous vehicles with NVIDIA Safety Force Field and DRIVE Constellation; and much more.
Seven Ways to Boost Artificial Intelligence ResearchNVIDIA
The document outlines 7 ways to boost AI research including streamlining workflow productivity through container technology on NVIDIA's NGC container registry, accessing hundreds of optimized applications through NVIDIA's GPU applications catalog, iterating large datasets faster through discounted NVIDIA TITAN RTX GPUs, solving real-world problems through NVIDIA's deep learning institute courses, gaining insights from industry leaders through talks at the GPU technology conference, acquiring high quality research data through open databases, and learning more about NVIDIA's solutions for higher education and research.
This Week in Data Science - Top 5 News - April 26, 2019NVIDIA
What's new in data science? Flip through this week's Top 5 to read a report on the most coveted skills for data scientists, top universities building AI labs, data science workstations for AI deployment, and more.
Key Healthcare Takeaways from GTC in OctoberNVIDIA
Three NVIDIA GTC conferences held in Europe, Israel, and Washington D.C. saw record-breaking attendance and brought together healthcare leaders to discuss medical innovations using AI. Key announcements included King's College London adopting NVIDIA's AI platform for radiology and pathology, Oxford Nanopore's real-time DNA sequencing powered by NVIDIA, and a new partnership between NVIDIA and Scripps Research to accelerate disease prediction using genomics and health sensors. Startups in areas like 3D medical printing, eye disease prevention, and assisting pathologists were recognized at the events.
The Best of AI and HPC in Healthcare and Life SciencesNVIDIA
Trends. Success stories. Training. Networking.
The GPU Technology Conference brings this all to one place. Meet the people pioneering the future of healthcare and life sciences and learn how to apply the latest AI and HPC tools to your research.
If you were unable to attend GTC 2019 or couldn't make it to all of the sessions you had on your list, check out the top four DGX POD sessions from the conference on-demand.
In this special edition of "This week in Data Science," we focus on the top 5 sessions for data scientists from GTC 2019, with links to the free sessions available on demand.
NVIDIA CEO Jensen Huang's keynote address at the GPU Technology Conference 2019 (#GTC19) in Silicon Valley, where he introduced breakthroughs in pro graphics with NVIDIA Omniverse; in data science with NVIDIA-powered Data Science Workstations; in inference and enterprise computing with NVIDIA T4 GPU-powered servers; in autonomous machines with NVIDIA Jetson Nano and the NVIDIA Isaac SDK; in autonomous vehicles with NVIDIA Safety Force Field and DRIVE Constellation; and much more.
Seven Ways to Boost Artificial Intelligence ResearchNVIDIA
The document outlines 7 ways to boost AI research including streamlining workflow productivity through container technology on NVIDIA's NGC container registry, accessing hundreds of optimized applications through NVIDIA's GPU applications catalog, iterating large datasets faster through discounted NVIDIA TITAN RTX GPUs, solving real-world problems through NVIDIA's deep learning institute courses, gaining insights from industry leaders through talks at the GPU technology conference, acquiring high quality research data through open databases, and learning more about NVIDIA's solutions for higher education and research.
This Week in Data Science - Top 5 News - April 26, 2019NVIDIA
What's new in data science? Flip through this week's Top 5 to read a report on the most coveted skills for data scientists, top universities building AI labs, data science workstations for AI deployment, and more.
Key Healthcare Takeaways from GTC in OctoberNVIDIA
Three NVIDIA GTC conferences held in Europe, Israel, and Washington D.C. saw record-breaking attendance and brought together healthcare leaders to discuss medical innovations using AI. Key announcements included King's College London adopting NVIDIA's AI platform for radiology and pathology, Oxford Nanopore's real-time DNA sequencing powered by NVIDIA, and a new partnership between NVIDIA and Scripps Research to accelerate disease prediction using genomics and health sensors. Startups in areas like 3D medical printing, eye disease prevention, and assisting pathologists were recognized at the events.
The Best of AI and HPC in Healthcare and Life SciencesNVIDIA
Trends. Success stories. Training. Networking.
The GPU Technology Conference brings this all to one place. Meet the people pioneering the future of healthcare and life sciences and learn how to apply the latest AI and HPC tools to your research.
The annual GPU Technology Conference focused on the promising field of deep learning in 2015. And we made four major announcements that will fuel its advancement: Titan X, the world's fastest GPU; DIGITS DevBox, GPU deep learning platform; Pascal GPU architecture; NVIDIA DRIVE PX, deep learning platform for self-driving cars. The press responded to these announcements with quotes, featured in this presentation, including ones from Mashable, Forbes, re/code, and The Wall Street Journal. The week-long event was shared in astounding numbers with many blog posts and streaming keynotes.
The AI Opportunity in Federal - Key Highlights from GTC DC 2018NVIDIA
Every industry will be empowered by AI from autonomous vehicles and robotics to healthcare and agriculture. The computational power that AI can provide will streamline workflows, maximize efficiencies, and open doors to new discoveries.
NVIDIA Testimony at Senate Commerce, Science, and Transportation Committee He...NVIDIA
Rob Csongor, VP and General Manager of NVIDIA's automotive business, provides his testimony on the important subject of self-driving vehicle technology.
Building a Stronger Future for Radiology: Takeaways from RSNA 2017NVIDIA
The 103rd annual RSNA conference brought over 55,000 radiologists and medical physicists together. NVIDIA announced partnerships with GE Healthcare and Nuance to bring AI to medical imaging devices and platforms. AI and machine learning were major topics, with demos of segmentation, visualization and image reconstruction using deep learning. Over 1,000 people received deep learning training in the inaugural Deep Learning Classroom. The future of AI in medical imaging looks promising, with algorithms extracting new information from images and potentially changing imaging device design.
At the 2018 GPU Technology Conference in Silicon Valley, NVIDIA CEO Jensen Huang announced the new "double-sized" 32GB Volta GPU; unveiled the NVIDIA DGX-2, the power of 300 servers in a box; showed an expanded inference platform with TensorRT 4 and Kubernetes on NVIDIA GPU; and revealed the NVIDIA GPU Cloud registry with 30 GPU-optimized containers and made it available from more cloud service providers. GTC attendees also got a sneak peek of the latest NVIDIA DRIVE software stack and the next DRIVE AI car computer, "Orin," along with developments in the NVIDIA Isaac platform for robotics and Project Clara, NVIDIA's medical imaging supercomputer.
This deck summarizes NetApp Insights 2018 joint ONTAP AI activities with NVIDIA and NetApp. List of activities includes Women In Tech Panel, Fireside chat, Spotlight sessions, the Cube live interview, and Partner Success video.
Nvidia was founded in 1993 by three co-founders with $20 million in initial funding. It designs graphics processing units for gaming and professional markets as well as system on chip units for mobile computing and automotive uses. Nvidia has grown from a three person startup to a global company with four product brands - Tegra for mobile devices, GeForce for gaming, Quadro for professional graphics, and Tesla for accelerating science applications. It has a large research and development budget that it invests over 20% of its revenue into to continue developing new technologies.
Fueling the Next Wave of AI Discovery - CVPR 2018NVIDIA
The CVPR annual conference showcases the most important advances in computer vision, pattern recognition, machine learning and artificial intelligence. Catch up on the top 5 announcements that came out of CVPR 2018.
NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.
Accelerated Analytics with Kinetica and NVIDIA GPU CloudNVIDIA
In this era of extreme data, companies need to address massive sets of complex data at unparalleled speed, with streaming data analysis, visual foresight and streamlined machine learning. With the Kinetica insight engine available in a ready-to-run software container from NVIDIA GPU Cloud, enterprises now have a “push button” method to quickly operationalize extreme analytics, machine learning and data visualization with the power of GPU computing across cloud, on-premises or hybrid deployment models.
Check out these DLI training courses at GTC 2019 designed for developers, data scientists & researchers looking to solve the world’s most challenging problems with accelerated computing.
Learn about the benefits of joining the NVIDIA Developer Program and the resources available to you as a registered developer. This slideshare also provides the steps of getting started in the program as well as an overview of the developer engagement platforms at your disposal. developer.nvidia.com/join
A Year of Innovation Using the DGX-1 AI SupercomputerNVIDIA
As one of TechCrunch's top AI stories, the NVIDIA DGX-1 has pioneered advancements in healthcare, data analytics, and robotic solutions with leading researchers and enterprises around the world.
Top 5 AI and Deep Learning Stories - August 3, 2018NVIDIA
The document discusses the top 5 deep learning stories from August 3, 2018. It summarizes each story in 1-2 paragraphs. Story 1 is about Google making NVIDIA GPUs available on their cloud to accelerate AI projects. Story 2 describes NetApp's new AI data platform called Ontap AI that helps organizations manage their AI data. Story 3 discusses how machine learning is being used in healthcare to better monitor patients. Story 4 talks about how the Swiss Federal Railway is using deep learning with cameras and sensors to improve passenger safety. Story 5 is about an AI system that taught itself to solve a Rubik's Cube in 44 hours without human help.
Top 5 Stories in Design and Visualization - Nov. 20, 2017NVIDIA
NVIDIA’s Design and Visualization platform gives artists, designers, engineers and developers the power to realize their vision. From innovative product development to immersive story-telling to reimagining the cities of the future, NVIDIA works with you to do it better and faster.
Stay up-to-date on the latest news, events and resources for the OpenACC community. This month’s highlights covers the upcoming NVIDIA GTC 2019, complete schedule of GPU hackathons and more!
This document discusses running containerized applications at scale on AWS. It begins by explaining why containers are used and the challenges of scaling container workloads, such as resource and state management, monitoring, service discovery, and deployment. It then provides an overview of Amazon ECS concepts like clusters, tasks, and services. The rest of the document discusses how to address the scaling challenges with services like Application Auto Scaling, service discovery options, monitoring with CloudWatch, logging with CloudWatch Logs, task scheduling and placement strategies, IAM roles, and demoing an application on ECS.
This document provides information about advertising video on Twitter. It notes that 90% of Twitter's video views occur on mobile devices, allowing advertisers to reach a large, engaged mobile audience. All video views on Twitter are considered viewable as they require 3 seconds of play or a user expanding and unmuting a video. Advertisers can also leverage Twitter's targeting capabilities to distribute videos to specific audiences based on keywords, interests, and TV conversations. The document highlights data showing large growth in video consumption and engagement on Twitter from Q4 2014 to Q1 2015.
The annual GPU Technology Conference focused on the promising field of deep learning in 2015. And we made four major announcements that will fuel its advancement: Titan X, the world's fastest GPU; DIGITS DevBox, GPU deep learning platform; Pascal GPU architecture; NVIDIA DRIVE PX, deep learning platform for self-driving cars. The press responded to these announcements with quotes, featured in this presentation, including ones from Mashable, Forbes, re/code, and The Wall Street Journal. The week-long event was shared in astounding numbers with many blog posts and streaming keynotes.
The AI Opportunity in Federal - Key Highlights from GTC DC 2018NVIDIA
Every industry will be empowered by AI from autonomous vehicles and robotics to healthcare and agriculture. The computational power that AI can provide will streamline workflows, maximize efficiencies, and open doors to new discoveries.
NVIDIA Testimony at Senate Commerce, Science, and Transportation Committee He...NVIDIA
Rob Csongor, VP and General Manager of NVIDIA's automotive business, provides his testimony on the important subject of self-driving vehicle technology.
Building a Stronger Future for Radiology: Takeaways from RSNA 2017NVIDIA
The 103rd annual RSNA conference brought over 55,000 radiologists and medical physicists together. NVIDIA announced partnerships with GE Healthcare and Nuance to bring AI to medical imaging devices and platforms. AI and machine learning were major topics, with demos of segmentation, visualization and image reconstruction using deep learning. Over 1,000 people received deep learning training in the inaugural Deep Learning Classroom. The future of AI in medical imaging looks promising, with algorithms extracting new information from images and potentially changing imaging device design.
At the 2018 GPU Technology Conference in Silicon Valley, NVIDIA CEO Jensen Huang announced the new "double-sized" 32GB Volta GPU; unveiled the NVIDIA DGX-2, the power of 300 servers in a box; showed an expanded inference platform with TensorRT 4 and Kubernetes on NVIDIA GPU; and revealed the NVIDIA GPU Cloud registry with 30 GPU-optimized containers and made it available from more cloud service providers. GTC attendees also got a sneak peek of the latest NVIDIA DRIVE software stack and the next DRIVE AI car computer, "Orin," along with developments in the NVIDIA Isaac platform for robotics and Project Clara, NVIDIA's medical imaging supercomputer.
This deck summarizes NetApp Insights 2018 joint ONTAP AI activities with NVIDIA and NetApp. List of activities includes Women In Tech Panel, Fireside chat, Spotlight sessions, the Cube live interview, and Partner Success video.
Nvidia was founded in 1993 by three co-founders with $20 million in initial funding. It designs graphics processing units for gaming and professional markets as well as system on chip units for mobile computing and automotive uses. Nvidia has grown from a three person startup to a global company with four product brands - Tegra for mobile devices, GeForce for gaming, Quadro for professional graphics, and Tesla for accelerating science applications. It has a large research and development budget that it invests over 20% of its revenue into to continue developing new technologies.
Fueling the Next Wave of AI Discovery - CVPR 2018NVIDIA
The CVPR annual conference showcases the most important advances in computer vision, pattern recognition, machine learning and artificial intelligence. Catch up on the top 5 announcements that came out of CVPR 2018.
NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.
Accelerated Analytics with Kinetica and NVIDIA GPU CloudNVIDIA
In this era of extreme data, companies need to address massive sets of complex data at unparalleled speed, with streaming data analysis, visual foresight and streamlined machine learning. With the Kinetica insight engine available in a ready-to-run software container from NVIDIA GPU Cloud, enterprises now have a “push button” method to quickly operationalize extreme analytics, machine learning and data visualization with the power of GPU computing across cloud, on-premises or hybrid deployment models.
Check out these DLI training courses at GTC 2019 designed for developers, data scientists & researchers looking to solve the world’s most challenging problems with accelerated computing.
Learn about the benefits of joining the NVIDIA Developer Program and the resources available to you as a registered developer. This slideshare also provides the steps of getting started in the program as well as an overview of the developer engagement platforms at your disposal. developer.nvidia.com/join
A Year of Innovation Using the DGX-1 AI SupercomputerNVIDIA
As one of TechCrunch's top AI stories, the NVIDIA DGX-1 has pioneered advancements in healthcare, data analytics, and robotic solutions with leading researchers and enterprises around the world.
Top 5 AI and Deep Learning Stories - August 3, 2018NVIDIA
The document discusses the top 5 deep learning stories from August 3, 2018. It summarizes each story in 1-2 paragraphs. Story 1 is about Google making NVIDIA GPUs available on their cloud to accelerate AI projects. Story 2 describes NetApp's new AI data platform called Ontap AI that helps organizations manage their AI data. Story 3 discusses how machine learning is being used in healthcare to better monitor patients. Story 4 talks about how the Swiss Federal Railway is using deep learning with cameras and sensors to improve passenger safety. Story 5 is about an AI system that taught itself to solve a Rubik's Cube in 44 hours without human help.
Top 5 Stories in Design and Visualization - Nov. 20, 2017NVIDIA
NVIDIA’s Design and Visualization platform gives artists, designers, engineers and developers the power to realize their vision. From innovative product development to immersive story-telling to reimagining the cities of the future, NVIDIA works with you to do it better and faster.
Stay up-to-date on the latest news, events and resources for the OpenACC community. This month’s highlights covers the upcoming NVIDIA GTC 2019, complete schedule of GPU hackathons and more!
This document discusses running containerized applications at scale on AWS. It begins by explaining why containers are used and the challenges of scaling container workloads, such as resource and state management, monitoring, service discovery, and deployment. It then provides an overview of Amazon ECS concepts like clusters, tasks, and services. The rest of the document discusses how to address the scaling challenges with services like Application Auto Scaling, service discovery options, monitoring with CloudWatch, logging with CloudWatch Logs, task scheduling and placement strategies, IAM roles, and demoing an application on ECS.
This document provides information about advertising video on Twitter. It notes that 90% of Twitter's video views occur on mobile devices, allowing advertisers to reach a large, engaged mobile audience. All video views on Twitter are considered viewable as they require 3 seconds of play or a user expanding and unmuting a video. Advertisers can also leverage Twitter's targeting capabilities to distribute videos to specific audiences based on keywords, interests, and TV conversations. The document highlights data showing large growth in video consumption and engagement on Twitter from Q4 2014 to Q1 2015.
At CES 2016, we made a series of announcements highlighting our work to advance the biggest trends in the industry — self-driving cars, artificial intelligence and
virtual reality. The focus of our news was NVIDIA DRIVE, an end-to-end deep learning platform for self-driving cars.
Compare Streaming Media Players With NVIDIA SHIELDNVIDIA
If you’re thinking about buying a next-gen smart TV console after hearing about the new Apple TV, we have good news: You’ve got options.
We introduced our own next-gen smart TV console — NVIDIA SHIELD Android TV — back in May. And it offers extraordinary capabilities.
SHIELD offers 3x more performance, plus more features and more ways to game. It’s still the only smart TV console that can stream 4K content. And — thanks to its support for Chromecast — it connects your mobile devices directly to your living room display.
Managing Container Images with Amazon ECR - AWS Online Tech TalksAmazon Web Services
The document discusses Amazon EC2 Container Registry (ECR), which is a fully managed Docker container registry that makes it easy for developers to store, manage, and deploy Docker container images. It provides details on what ECR is, how it integrates with other AWS services like ECS, its access control and encryption features, and demos of common user workflows like creating a registry, pushing images, and using images in tasks.
This PPT is about AI 100 Startups all over the world based on "The AI 100 -CB insights".
In this research paper, you can find each capital, scale, general info(ref: CB Insights), and features.
Working with Amazon Lex Chatbots in Amazon Connect - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn how to setup Amazon Connect
- Learn the value of Amazon Connect and virtual assistants
- Learn how to use Amazon Lex chatbots in Amazon Lex
1. The document discusses five top stories highlighting what's hot in high performance computing (HPC) and artificial intelligence (AI).
2. The first story is about using HPC and AI to accelerate quantum chemistry simulations for faster drug discovery.
3. The second story discusses SAP using NVIDIA's Volta computing platform to power its machine learning applications, becoming the first enterprise offering to use this platform.
As artificial intelligence sweeps across the technology landscape, NVIDIA unveiled today at its annual GPU Technology Conference a series of new products and technologies focused on deep learning, virtual reality and self-driving cars.
Revolutionizing Radiology with Deep Learning: The Road to RSNA 2017NVIDIA
The document discusses how deep learning is revolutionizing radiology and some of the developments that will be showcased at the upcoming RSNA conference in Chicago. It summarizes that machine learning and AI startups in healthcare are booming, with the number growing over 160% in the last five years. It also mentions that the largest medical imaging competition hosted at RSNA each year was won by 16bit.ai for their pediatric bone age challenge algorithms powered by GPUs. Finally, it states that findings from the Center for Clinical Data Science using NVIDIA's DGX-1 supercomputer to power medical imaging research are already being applied in doctors' clinics.
Top 5 Deep Learning and AI Stories - November 3, 2017NVIDIA
The document discusses insights into deep learning and artificial intelligence. It provides the top 5 headlines: 1) Pentagon official discusses how AI and machine learning will revolutionize the US intelligence community. 2) Startup is working on an AI system to detect lung cancer earlier from chest X-rays to save lives. 3) NVIDIA's GPU Cloud gives developers access to optimized deep learning tools in the cloud. 4) Non-profit AI4ALL partners with NVIDIA to increase students' access to AI resources and careers. 5) NVIDIA expands its Deep Learning Institute to address the growing need for AI experts.
WKS401 Deploy a Deep Learning Framework on Amazon ECS and EC2 Spot InstancesAmazon Web Services
This document provides an overview and agenda for a workshop on deploying a deep learning framework on Amazon ECS and EC2 Spot Instances. The workshop will:
- Introduce MXNet, an open-source deep learning framework.
- Provide an overview of containers, Amazon ECS, Amazon ECR, AWS CloudFormation, and EC2 Spot Instances.
- Guide participants through hands-on labs to build an MXNet Docker image, deploy an MXNet container with ECS, run an image classification demo, and wrap the demo in an ECS task.
Sentiment Analysis Using Apache MXNet and Gluon - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn how to easily get started with Deep Learning on AWS using the AWS Deep Learning AMI
- Learning how to use Apache MXNet and Gluon to start and scale deep learning projects
- Learn how to build an LSTM network for sentiment analysis
Building Serverless Websites with Lambda@Edge - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Understand how to take advantage of Lambda@Edge and Amazon CloudFront
- Response generation with Lambda@Edge
- How to optimize Lambda@Edge responses with CloudFront cache usage
Top 5 Deep Learning and AI Stories - October 6, 2017NVIDIA
Read this week's top 5 news updates in deep learning and AI: Gartner predicts top 10 strategic technology trends for 2018; Oracle adds GPU Accelerated Computing to Oracle Cloud Infrastructure; chemistry and physics Nobel Prizes are awarded to teams supported by GPUs; MIT uses deep learning to help guide decisions in ICU; and portfolio management firms are using AI to seek alpha.
AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017Carol Smith
What is machine learning? Is UX relevant in the age of artificial intelligence (AI)? How can I take advantage of cognitive computing? Get answers to these questions and learn about the implications for your work in this session. Carol will help you understand at a basic level how these systems are built and what is required to get insights from them. Carol will present examples of how machine learning is already being used and explore the ethical challenges inherent in creating AI. You will walk away with an awareness of the weaknesses of AI and the knowledge of how these systems work.
Le système d'innovations ouvert pour transformer les services et les produits, de facon agile rapide et sécurisée. La plateforme accélératrice des changements de business modèles
Group C6 consists of 6 students: Anand P, Irshad Anwar, Mohamed Anas, Prabhu P, Ram Kumar V, and Shyam Prasath B.
SAP is a German multinational software corporation that makes enterprise software to manage business operations and customer relations. It is the largest business software company in the world. To foster innovation, SAP adopted new strategies like establishing co-CEOs, acquiring companies, developing products faster, and simplifying processes using Lean principles. These changes helped SAP adapt to new technologies and business models to remain competitive.
Our Journey to 100% Agile and a BizDevOps Product Portfolio - Dr. Frank Ramsa...Marilyne Huret
Our Journey to 100% Agile and a BizDevOps Product Portfolio - BMW - DOES19 Las Vegas —
This talk will describe the "why" and the "way" to 100% Agile @ BMW Group IT - a holistic approach with 4 focus areas: Process, Structure, Technology and People&Culture. Ralf will give a deep dive into the transformation from "Projects" to "Products" defined last year.
Our Journey to 100% Agile and a BizDevOps Product Portfolio - Dr. Frank Ramsak and Ralf Waltram
Dr. Frank Ramsak, IT Governance, BMW Group
Ralf Waltram, Head of IT Systems Research & Development, BMW Group
Frank Ramsak started his career within the BMW Group in 2003 and is presently responsible for Architecture, Innovation and Technology in the BMW Group IT Governance. With his team and the community of architects, he defines and drives the innovative, competitive IT solution space for the feature teams.
Before his time in the IT-Governance, he managed international IT projects and was responsible for enterprise architecture management for the R&D, quality and production areas.
Frank st
udied computer science at the Technical University of Munich (TUM) and the University of Illinois at
Urbana-Champaign. He received his PhD from TUM for his work on multi-dimensional indexing in database systems.
Ralf Waltram has been with the BMW Group since 1996 and is responsible for IT systems in vehicle development since 2015. He and his team focus on the possibilities of digitalization in the R&D process, with an agile collaboration model and a focus on a BizDevOps structure. Prior to this, he managed international IT projects, e.g. in China, in the area of R&D, sales and marketing and was responsible in different line functions. Ralf Waltram studied computer science at the Munich University of Applied Sciences, specializing in computer vision and neural networks.
This document discusses SAP's digital innovation system called SAP Leonardo. It provides an overview of SAP Leonardo's capabilities in areas like machine learning, IoT, big data and analytics. It describes how SAP Leonardo helps customers innovate with a focus on business processes and integrating new technologies. It also outlines SAP's approach to digital transformation and SAP Leonardo's services that help move ideas from concept to prototype to implementation quickly.
This document provides an overview and agenda for SAP's Visualization solutions. It discusses global trends like increasing information growth that create demand for visualization. Research shows visualization improves learning, understanding and efficiency. The document outlines how leaders perform better than laggards in key metrics by using visualization. Examples of ROI from visualization implementations are provided. SAP's visualization products and roadmap are presented, showing how the solutions integrate business data and processes across functions like R&D, manufacturing, sales and service. Business scenarios for using visualization in each function are described, with an example for discrete manufacturing. The conclusion highlights results customers have achieved, such as reduced time to market and publishing time through use of visualization.
Imaginea believes the right people in the right environment are key to innovation and design. They focus on design-driven development and hire for attitude. Imaginea offers product development capabilities, a blended management style, and access to talented engineers in India. They aim to enable customers to provide better service through consistent and predictable delivery of high quality code.
The document discusses SAP's Next Generation Business Suite called SAP S/4HANA. It describes SAP S/4HANA as providing simplification to help drive digital transformation. It is built on the SAP HANA in-memory platform and is designed to simplify business processes, decisions, models, and the user experience. SAP S/4HANA aims to help businesses run simple in today's complex digital economy. The document provides information on the value SAP S/4HANA can provide for businesses, users, and IT.
Espedia is an Italian SAP consulting firm that specializes in product lifecycle management (PLM) and integrating CAD systems with SAP ERP. Their vision is to become a leader in digital engineering and improving connections between engineering and manufacturing. They help clients with innovation management, integrated product development, and visual support across the entire product lifecycle from idea to performance on the market. Espedia uses the SAP PLM, PPM, and other solutions on the SAP technology platform to provide these services.
Check out key sessions happening on Day 2 of the Mobile World Congress. Sessions at the SAP theater (Hall 3, 3N31). Lots of interesting sessions lined up especially ' Why iOS for Business? ' and 'Digital Transformation with SAP Cloud Platform'. Also dont forget to check out the Space App Camp 2017 start-up pitches and the award ceremony at the end of the day.
The Digital Imperative >> Keynote MasteringSAP Analytics Joburg, ZAWaldemar Adams
The Digital Imperative Keynote at MasteringSAP Analytics event Johannesburg, ZA March 14th 2016
http://www.masteringsap.co.za/ba/agenda
The Eventful Group
The agenda includes presentations on using EC2 for business applications, a panel discussion on why the cloud benefits enterprises, and a networking reception. Steve Lucas from SAP will discuss how enterprises are adopting cloud computing and SAP's strategy involving on-premise, on-demand, and on-device deployment. There will be demonstrations of integrating SAP BusinessObjects BI with enterprise applications running on EC2, and how BI can accelerate applications. Kogent will demonstrate industry-specific analytics running on EC2 integrated with SAP BI.
ASUG SAPPHIRENOW 2017 - SAP Leonardo Internet of Things - Briefing BookPushkar Ranjan
SAPPHIRENOW 2017 – ASUG Preconference – Connecting Things, People, and Processes for Live Business with Solutions for the Internet of Things – BEFORE YOU GO!
For over 40 years, SAP has been helping customers map their journey through digital transformation. No one has more knowledge and experience in business processes while giving our customers a 360° view of their entire business operation. IoT has the potential to drive the largest segment of growth in new business value with the right solution infrastructure. SAP can help you know where opportunities and risk exist, evolve your business processes to act upon the potential opportunity or risk to create new business value and ecosystem advantages.
This document discusses developing extensions for SAP Business ByDesign. It provides an overview of SAP Business ByDesign, including its functional scope and target users. Extensions can be built without coding by using features like field extensions and reports, or by using the development environment and programming languages like BODL and ABSL. Reasons to develop extensions include the growing customer base and opportunities to improve the young solution. The presentation demonstrates building a "Good Deed Challenge" extension and discusses resources like the community and books.
Innovationen bei SAP Education - KI, VR, Machine LearningThomas Jenewein
Foliensatz zu den Präsentationen von S. Hänisch & Thomas Jenewein -
SAP Education Innovations-Updates
Wie künstliche Intelligenz, virtuelle Realität und weitere Technologien das Lernen in der Zukunft prägen
SAP TechEd -dCode - OEM Innovation Agenda for Partners - Las VegasSAP OEM
Discover SAP TechEd && dcode. Check out the premier SAP tech conference created expressly for developers, engineers, and technologists. There’s a lot to choose from we’ve put together an agenda that’s designed to meet your needs as an OEM Partner so you can tailor your experience
Case Study on Big Data Service for Manufacturing - Silver Touch TechnologiesSilver Touch Technologies
This case study by Silver Touch Technologies showcases how a Big Data Service for Manufacturing helped address pain areas, our solutions, benefits, and key features of the project. Check it out now.
SAP d-code 2014, Overview Track Stories, v1.02Tammy Powlas
The document describes the track structure and topics for SAP d-code 2014. It is divided into 10 tracks such as Technology, Strategy, and Innovations, Development and Extension Platform for SAP HANA and Cloud, User Experience and User Interface Development, and Mobile Solution Development. Each track has sub-tracks and focuses on technical areas and hot topics like Big Data, Cloud, Analytics, and Mobile. The document provides details on each track's title, description, leads, and sub-tracks.
This document outlines an agenda for a panel discussion on implementing two-speed IT in enterprises. The panelists are introduced, including Neil Drennan from BBC Worldwide, Greg Larson from Target, Daniel Lahl from SAP, and David Allen from Apigee. Two-speed IT is defined as having both digital systems that are customer-focused and agile, as well as traditional line-of-business systems that focus on stability. The panel will discuss challenges in coordinating these two speeds, as well as opportunities for new revenue, expanded ecosystems, and avoiding obsolescence through two-speed IT.
How to Become a Product Manager by NVIDIA Senior Product ManagerProduct School
In this presentation, Nithya Natesan discusses:
-How to transition into a Product Management role from technical positions
-Traits for a successful Product Manager
-Tips to tackle challenges and road blocks in a Product Management role
Similar to NVIDIA SAP Sapphire 2017 Show Guide (20)
We pioneered accelerated computing to tackle challenges no one else can solve. Now, the AI moment has arrived. Discover how our work in AI and the metaverse is profoundly impacting society and transforming the world’s largest industries.
Promising to transform trillion-dollar industries and address the “grand challenges” of our time, NVIDIA founder and CEO Jensen Huang shared a vision of an era where intelligence is created on an industrial scale and woven into real and virtual worlds at GTC 2022.
NVIDIA pioneered accelerated computing and GPUs for AI. It has reinvented itself through innovations like RTX ray tracing and Omniverse simulation. NVIDIA now powers the world's top supercomputers, data centers, industries and is a leader in autonomous vehicles and healthcare with its AI platforms.
Outlining a sweeping vision for the “age of AI,” NVIDIA CEO Jensen Huang Monday kicked off the GPU Technology Conference.
Huang made major announcements in data centers, edge AI, collaboration tools and healthcare in a talk simultaneously released in nine episodes, each under 10 minutes.
“AI requires a whole reinvention of computing – full-stack rethinking – from chips, to systems, algorithms, tools, the ecosystem,” Huang said, standing in front of the stove of his Silicon Valley home.
Behind a series of announcements touching on everything from healthcare to robotics to videoconferencing, Huang’s underlying story was simple: AI is changing everything, which has put NVIDIA at the intersection of changes that touch every facet of modern life.
More and more of those changes can be seen, first, in Huang’s kitchen, with its playful bouquet of colorful spatulas, that has served as the increasingly familiar backdrop for announcements throughout the COVID-19 pandemic.
“NVIDIA is a full stack computing company – we love working on extremely hard computing problems that have great impact on the world – this is right in our wheelhouse,” Huang said. “We are all-in, to advance and democratize this new form of computing – for the age of AI.”
This GTC is one of the biggest yet. It features more than 1,000 sessions—400 more than the last GTC—in 40 topic areas. And it’s the first to run across the world’s time zones, with sessions in English, Chinese, Korean, Japanese, and Hebrew.
NVIDIA CEO Jensen Huang Presentation at Supercomputing 2019NVIDIA
Broadening support for GPU-accelerated supercomputing to a fast-growing new platform, NVIDIA founder and CEO Jensen Huang introduced a reference design for building GPU-accelerated Arm servers, with wide industry backing.
NVIDIA BioBert, an optimized version of BioBert was created specifically for biomedical and clinical domains, providing this community easy access to state-of-the-art NLP models.
Top 5 Deep Learning and AI Stories - August 30, 2019NVIDIA
Read the top five news stories in artificial intelligence and learn how innovations in AI are transforming business across industries like healthcare and finance and how your business can derive tangible benefits by implementing AI the right way.
Transforming Healthcare at GTC Silicon ValleyNVIDIA
The GPU Technology Conference (GTC) brings together the leading minds in AI and healthcare that are driving advances in the industry - from top radiology departments and medical research institutions to the hottest startups from around the world. Can't miss panels and trainings at GTC Silicon Valley
The promise of AI to provide better patient care through accelerated workflows and increased diagnostic capabilities was in full display at RSNA. Catch up with all the news and highlights from the event.
Top 5 Deep Learning and AI Stories - November 30, 2018NVIDIA
Read this week's top 5 news updates in deep learning and AI: 75 healthcare companies partner with NVIDIA to power the future of radiology, NeurIPS conference showcases the latest in AI research, NVIDIA's new research lab pushes machine learning boundaries, Israeli AI startup restores speech abilities to stroke victims and others with impaired language, and radiologists can detect anomalies in medical images with deep learning.
Top 5 AI and Deep Learning Stories - November 9, 2018NVIDIA
Read this week's top 5 news updates in deep learning and AI: DGX-2 supercomputers arrive fueling scientific discovery; AI pioneer talks about the future of AI; radiology poised for transformation with AI; the rise of AI developers in India; discover AI in federal government.
Top 5 AI and Deep Learning Stories - October 26, 2018NVIDIA
Read this week's top 5 news updates in deep learning and AI: NVIDIA and Carnegie Mellon announce a partnership to help disaster relief; NVIDIA and Scripps Research partner to advance AI for disease prediction; learn how GPUs will help your deep learning platform; MIT research showcases AI and human collaboration; NVIDIA publishes first-ever self-driving safety report.
Top 5 Deep Learning and AI Stories - September 28, 2018NVIDIA
Read this week's top 5 news updates in deep learning and AI: Automakers look to virtual training to simulate billions of miles in driving, five Gordon Bell prize finalists leveraged Summit, the world's fastest supercomputer, Toronto celebrates NVIDIA's new Toronto AI lab and Canada's top researchers, scientists turn to simulated health data to train AI and preserve patient privacy, and two researchers leverage deep learning to create new levels for DOOM.
Celebrating and Supporting the Medical Imaging CommunityNVIDIA
This year’s MICCAI conference had record-breaking attendance. If you missed it, view this SlideShare to catch up on all the highlights and NVIDIA news.
Top 5 Deep Learning and AI Stories - September 14, 2018NVIDIA
Read this week's top 5 news updates in deep learning and AI: NVIDIA’s Clara Smartens up medical instruments, Fujifilm and NVIDIA bring radiology AI to Japan, Cisco boosts its deep learning capabilities, "I am AI" docuseries episode 8: Taking AI to new heights and How a Stanford PhD student is using deep learning to create “dank memes”.
Adani Group Requests For Additional Land For Its Dharavi Redevelopment Projec...Adani case
It will bring about growth and development not only in Maharashtra but also in our country as a whole, which will experience prosperity. The project will also give the Adani Group an opportunity to rise above the controversies that have been ongoing since the Adani CBI Investigation.
NewBase 20 June 2024 Energy News issue - 1731 by Khaled Al Awadi_compressed.pdfKhaled Al Awadi
Greetings,
Hawk Energy is pleased to present you with the latest energy news
NewBase 20 June 2024 Energy News issue - 1731 by Khaled Al Awadi
Regards.
Founder & S.Editor - NewBase Energy
Khaled M Al Awadi, Energy Consultant
MS & BS Mechanical Engineering (HON), USAGreetings,
Hawk Energy is pleased to present you with the latest energy news
NewBase 20 June 2024 Energy News issue - 1731 by Khaled Al Awadi
Regards.
Founder & S.Editor - NewBase Energy
Khaled M Al Awadi, Energy Consultant
MS & BS Mechanical Engineering (HON), USAGreetings,
Hawk Energy is pleased to present you with the latest energy news
NewBase 20 June 2024 Energy News issue - 1731 by Khaled Al Awadi
Regards.
Founder & S.Editor - NewBase Energy
Khaled M Al Awadi, Energy Consultant
MS & BS Mechanical Engineering (HON), USAGreetings,
Hawk Energy is pleased to present you with the latest energy news
NewBase 20 June 2024 Energy News issue - 1731 by Khaled Al Awadi
Regards.
Founder & S.Editor - NewBase Energy
Khaled M Al Awadi, Energy Consultant
MS & BS Mechanical Engineering (HON), USAGreetings,
Hawk Energy is pleased to present you with the latest energy news
NewBase 20 June 2024 Energy News issue - 1731 by Khaled Al Awadi
Regards.
Founder & S.Editor - NewBase Energy
Khaled M Al Awadi, Energy Consultant
MS & BS Mechanical Engineering (HON), USAGreetings,
Hawk Energy is pleased to present you with the latest energy news
NewBase 20 June 2024 Energy News issue - 1731 by Khaled Al Awadi
Regards.
Founder & S.Editor - NewBase Energy
Khaled M Al Awadi, Energy Consultant
MS & BS Mechanical Engineering (HON), USA
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Vision and Goals: The primary aim of the 1st Defence Tech Meetup is to create a Defence Tech cluster in Portugal, bringing together key technology and defence players, accelerating Defence Tech startups, and making Portugal an attractive hub for innovation in this sector.
Historical Context and Industry Evolution: The presentation provides an overview of the evolution of the Portuguese military industry from the 1970s to the present, highlighting significant shifts such as the privatisation of military capabilities and Portugal's integration into international defence and space programs.
Innovation and Defence Linkage: Emphasis on the historical linkage between innovation and defence, citing examples like the military genesis of Silicon Valley and the Cold War's technological dividends that fueled the digital economy, highlighting the potential for similar growth in Portugal.
Proposals for Growth: Recommendations include promoting dual-use technologies and open innovation, streamlining procurement processes, supporting and financing new ICT/BTID companies, and creating a Defence Startup Accelerator to spur innovation and economic growth.
Current and Future Technologies: Discussion on emerging defence technologies such as drone warfare, advancements in AI, and new military applications, along with the importance of integrating these innovations to enhance Portugal's defence capabilities and economic resilience.
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It takes all kinds of AI and Humans to make Good Business DecisionDenis Gagné
In today’s rapidly evolving markets, the integration of human insight with advanced AI technologies is crucial for making sophisticated, timely decisions. This presentation delves into how businesses in regulated industries such as finance, healthcare, and government can leverage AI to balance mission-critical risks with profitability, ensure compliance, and maintain necessary transparency. We'll explore strategic, tactical, and operational decisions across various scenarios, demonstrating the power of AI to augment human decision-making processes, thus optimizing outcomes. Whether you are looking to enhance your existing protocols or build new frameworks, this webinar will equip you with the insights and tools to advance your decision-making capabilities.
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Kanban Coaching Exchange with Dave White - Example SDR Report
NVIDIA SAP Sapphire 2017 Show Guide
1. AI FOR ENTERPRISEEnterprise Applications Powered by NVIDIA Deep Learning Platform
Deep learning is transforming digital business. NVIDIA and SAP are creating a new wave of AI
business applications, powered by NVIDIA Deep Learning, to deliver the “intelligent enterprise.”
@NVIDIAAI
www.nvidia.com/ai
sales @nvidia.com
Monday, May 5/15
15:00-15:30 in Hilton Orlando
SAP Machine Learning Partner
Program: Techhnology
Partnerships
Google, SAP and NVIDIA discuss deep learning
application development on TensorFlow and
NVIDIA DGX-1.
Andrew Cresci, General Manager
for Industrial IoT, NVIDIA
Monday, May 5/15
13:30-14:15 in Hilton Orlando
Partner Summit Panel: Everything
Intelligent Machine Learning, Bots
and Blockchain
Learn how your business could change, what your
customers will face, and how SAP Leonardo
based services can help SAP and our partners
deliver intelligent solutions across the enterprise.
Jason Wolf, GM Global Technology Partners, SAP
Jim McHugh, VP and GM, NVIDIA
Markus Noga, VP ML Incubation, SAP
Joe Fox, Senior Vice President, SAP Ariba
Bhrighu Sareen, GM / Partner GPM, Microsoft
SAPPHIRE HIGHLIGHTS
Wednesday, 5/17
14:30-15:00 in Live Business Theater
Keynote Spotligt Session: SAP and
NVIDIA Bringing Machine learning
to the Enterprise
SAP is ushering in the era of the intelligent
enterprise by running machine and deep
learning models on NVIDIA GPU Platform.
Jim McHugh, VP and GM, NVIDIA
Jeurgen Mueller, Chief Innovation Officer
2. 11:00-11:30 AM EST DEEP LEARNING FOR IOT
Andrew Cresci, General Manager for Industrial IoT,
DEEP LEARNING FOR IOT
Andrew Cresci, General Manager for Industrial IoT,
NVIDIA
NVIDIA
11:30AM-12:00 PM EST
11:30AM-12:00 PM EST
DEEP LEARNING FUNDAMENTALS
SAP BRAND IMPACT ON NVIDIA DEEP
LEARNING PLATFORM
Ryan Olson, Solutions Architect, NVIDIA
DEEP LEARNING FUNDAMENTALS
Ryan Olson, Solutions Architect, NVIDIA
Renee Yao, Product Marketing Manager, NVIDIA
SAP BRAND IMPACT FOR VIDEO ANALYTICS
Michael Kemelmakher, VP, Head of SAP Innovation
Center Israel
SAP BRAND IMPACT FOR VIDEO ANALYTICS
Michael Kemelmakher, VP, Head of SAP Innovation
Center Israel
DGX STATION BRINGS AI COMPUTING TO
YOUR DESKSIDE
Markus Weber, Senior Product Manager, NVIDIA
DGX STATION BRINGS AI COMPUTING TO
YOUR DESKSIDE
Markus Weber, Senior Product Manager, NVIDIA
SAP ACCOUNTS PAYABLE ON NVIDIA DEEP
LEARNING PLATFORM
Renee Yao, Product Marketing Manager, NVIDIA
SAP CASH APPLICATION ON NVIDIA
DEEP LEARNING PLATFORM
Renee Yao, Product Marketing Manager, NVIDIA
Renee Yao, Product Marketing Manager, NVIDIA
SPEED DIGITAL TRASNFORMATION BY BRINGING
DEEP LERANING TO THE ENTERPRISE
SAP SERVICE TICKETING
Daniel Dahlmeier, Head of Machine Learning, Sales and
Service, SAP
12:00-12:30 PM EST
12:30-1:00 PM EST
1:00 - 1:30 PM EST
1:30 - 2:00 PM EST
2:00 - 2:30 PM EST
2:30 - 3:00 PM EST
2:30 - 3:00 PM EST
3:00 - 3:30 PM EST
12:00-12:30 PM EST
12:30-1:00 PM EST
1:00 - 1:30 PM EST
1:30 - 2:00 PM EST
2:00 - 2:30 PM EST
AI: TECHNOLOGY IS CHANGING, HOW WILL
YOU ADAPT
Ryan Olson, Solutions Architect, NVIDIA
AI: TECHNOLOGY IS CHANGING, HOW WILL
YOU ADAPT
Ryan Olson, Solutions Architect, NVIDIA
3:00 - 3:30 PM EST
SAP CASH APPLICATION
Kevin Lee, ML Business Development Lead, SAP
DELIVERING DEEP LEARNING WORKFLOW
SPEED, EFFICIENCY, AND PERFORMANCE
Tony Paikeday, Director of Product Marketing, NVIDIA
DELIVERING DEEP LEARNING WORKFLOW
SPEED, EFFICIENCY, AND PERFORMANCE
Tony Paikeday, Director of Product Marketing, NVIDIA
3:30 - 4:00 PM EST
3:30 - 4:00 PM EST
AI FOR THE PUBLIC GOOD
Mike Beaumont, Sr. Marketing Manager, NVIDIA
AI FOR THE PUBLIC GOOD
Mike Beaumont, Sr. Marketing Manager, NVIDIA
AI FOR THE PUBLIC GOOD
Mike Beaumont, Sr. Marketing Manager, NVIDIA
11:00 - 11:30 AM EST
11:00-11:30 AM EST DEEP LEARNING FUNDAMENTALS
Ryan Olson, Solutions Architect, NVIDIA
SAP SERVICE TICKETING ON NVIDIA DEEP
LEARNING PLATFORM
Renee Yao, Product Marketing Manager, NVIDIA
SAP RESUME MATCHING
Madhur Mayank Sharma, Head of Machine Learning,
HR LoB Product, SAP
DGX STATION BRINGS AI COMPUTING TO
YOUR DESKSIDE
Markus Weber, Senior Product Manager, NVIDIA
SAP RESUME MATCHING ON NVIDIA DEEP
LEARNING PLATFORM
Renee Yao, Product Marketing Manager, NVIDIA
12:00-12:30 PM EST
12:00-12:30 PM EST
11:30 AM-12:00 PM EST
1:00-1:30 PM EST
1:30 - 2:00 PM EST
2:00 - 2:30 PM EST
AI: TECHNOLOGY IS CHANGING, HOW WILL
YOU ADAPT
Ryan Olson, Solutions Architect, NVIDIA
SAP CUSTOMER RETENTION
Glenn Neuber, Business Development Lead, SAP
2:30 - 3:00 PM EST
TUESDAY, 5/16
WEDNESDAY, 5/17
THURSDAY, 5/18
IN-BOOTH HANGOUT SCHEDULE - NVIDIA BOOTH #1701
@NVIDIAAI
www.nvidia.com/ai
sales @nvidia.com