1000x

•

1 gostou•832 visualizações

Qualcomm Research

Mobile data traffic is growing explosively and the industry is preparing for an astounding 1000x increase. Qualcomm is leading the charge through its compelling technologies and path breaking innovations in preparing the industry to meet this "1000x challenge." The solution to this formidable challenge is obviously is a combination of more resources such as more spectrum and more small cells, but also new ways of acquiring, deploying, operating and managing these resources. But it is not just about adding spectrum resources and small cells, the whole is much more than sum of its parts if can make all entities work efficiently together, to squeeze even more out of finite spectrum resources For more information on 1000x, please visit: www.qualcomm.com/1000x.

1000x

Mais conteúdo relacionado

Destaque

Portfolio 2016

Actividad 5.1

Курсовая работа (1 курс магистратуры)

Курсовая работа (1 курс магистратуры)

Курсовая работа (1 курс магистратуры)

Infertility flowchart

Infertility flowchart

Infertility flowchart

Kristin Lindquist

fgdfgdfg

Report on VLSI

Comercio exterior

Comercio exterior

Comercio exterior

Charityworks: Graduate Scheme 2015

Charityworks: Graduate Scheme 2015

Charityworks: Graduate Scheme 2015

University of Sussex, Careers & Employability Centre

Looking for Internships and Work Experience

Looking for Internships and Work Experience

Looking for Internships and Work Experience

University of Sussex, Careers & Employability Centre

Destaque (9)

Portfolio 2016

Actividad 5.1

Курсовая работа (1 курс магистратуры)

Курсовая работа (1 курс магистратуры)

Курсовая работа (1 курс магистратуры)

Infertility flowchart

Infertility flowchart

Infertility flowchart

fgdfgdfg

Report on VLSI

Comercio exterior

Comercio exterior

Comercio exterior

Charityworks: Graduate Scheme 2015

Charityworks: Graduate Scheme 2015

Charityworks: Graduate Scheme 2015

Looking for Internships and Work Experience

Looking for Internships and Work Experience

Looking for Internships and Work Experience

Mais de Qualcomm Research

Generative AI models, such as ChatGPT and Stable Diffusion, can create new and original content like text, images, video, audio, or other data from simple prompts, as well as handle complex dialogs and reason about problems with or without images. These models are disrupting traditional technologies, from search and content creation to automation and problem solving, and are fundamentally shaping the future user interface to computing devices. Generative AI can apply broadly across industries, providing significant enhancements for utility, productivity, and entertainment. As generative AI adoption grows at record-setting speeds and computing demands increase, on-device and hybrid processing are more important than ever. Just like traditional computing evolved from mainframes to today’s mix of cloud and edge devices, AI processing will be distributed between them for AI to scale and reach its full potential. In this presentation you’ll learn about: - Why on-device AI is key - Full-stack AI optimizations to make on-device AI possible and efficient - Advanced techniques like quantization, distillation, and speculative decoding - How generative AI models can be run on device and examples of some running now - Qualcomm Technologies’ role in scaling on-device generative AI

Generative AI at the edge.pdf

Generative AI at the edge.pdf

Generative AI at the edge.pdf

Qualcomm Research

As generative AI adoption grows at record-setting speeds and computing demands increase, hybrid processing is more important than ever. But just like traditional computing evolved from mainframes and thin clients to today’s mix of cloud and edge devices, AI processing must be distributed between the cloud and devices for AI to scale and reach its full potential. In this talk you’ll learn: • Why on-device AI is key • Which generative AI models can run on device • Why the future of AI is hybrid • Qualcomm Technologies’ role in making hybrid AI a reality

The future of AI is hybrid

The future of AI is hybrid

The future of AI is hybrid

Qualcomm Research

How do you find the best solution when faced with many choices? Combinatorial optimization is a field of mathematics that seeks to find the most optimal solutions for complex problems involving multiple variables. There are numerous business verticals that can benefit from combinatorial optimization, whether transport, supply chain, or the mobile industry. More recently, we’ve seen gains from AI for combinatorial optimization, leading to scalability of the method, as well as significant reductions in cost. This method replaces the manual tuning of traditional heuristic approaches with an AI agent that provides a fast metric estimation. In this presentation you will find out: Why AI is crucial in combinatorial optimization How it can be applied to two use cases: improving chip design and hardware-specific compilers The state-of-the-art results achieved by Qualcomm AI Research

Qualcomm Webinar: Solving Unsolvable Combinatorial Problems with AI

Qualcomm Webinar: Solving Unsolvable Combinatorial Problems with AI

Qualcomm Webinar: Solving Unsolvable Combinatorial Problems with AI

Qualcomm Research

- There is a rich roadmap of 5G technologies coming in the second half of the 5G decade with the 5G Advanced evolution - 6G will be the future innovation platform for 2030 and beyond building on the 5G Advanced foundation - 6G will be more than just a new radio design, expanding the role of AI, sensing and others in the connected intelligent edge - Qualcomm is leading cutting-edge wireless research across six key technology vectors on the path to 6G

Why and what you need to know about 6G in 2022

Why and what you need to know about 6G in 2022

Why and what you need to know about 6G in 2022

Qualcomm Research

3D perception is crucial for understanding the real world. It offers many benefits and new capabilities over 2D across diverse applications, from XR and autonomous driving to IOT, camera, and mobile. 3D perception with machine learning is creating the new state of the art (SOTA) in areas, such as depth estimation, object detection, and neural scene representation. Making these SOTA neural networks feasible for real-world deployment on mobile devices constrained by power, thermal, and performance has been a challenge. Qualcomm AI Research has developed not only novel AI techniques for 3D perception but also full-stack AI optimizations to enable real-world deployments and energy-efficient solutions. This presentation explores the latest research that is enabling efficient 3D perception while maintaining neural network model accuracy. You’ll learn about: - The advantages of 3D perception over 2D and the need for 3D perception across applications - Advancements in 3D perception research by Qualcomm AI Research - Our future 3D perception research directions

Understanding the world in 3D with AI.pdf

Understanding the world in 3D with AI.pdf

Understanding the world in 3D with AI.pdf

Qualcomm Research

5G is going mainstream across the globe, and this is an exciting time to harness the low latency and high capacity of 5G to enable the metaverse. A distributed-compute architecture across device and cloud can enable rich extended reality (XR) user experiences. Virtual reality (VR) and mixed reality (MR) are ready for deployment in private networks, while augmented reality (AR) for wide area networks can be enabled in the near term with Wi-Fi powered AR glasses paired with a 5G-enabled phone. Device APIs enabling application adaptation is critical for good user experience. 5G standards are evolving to support the deployment of AR glasses at a large scale and setting the stage for 6G-era with the merging of the physical, digital, and virtual worlds. Techniques like perception-enhanced wireless offer significant potential to improve user experience. Qualcomm Technologies is enabling the XR industry with platforms, developer SDKs, and reference designs. Check out this webinar to learn: • How 5G and distributed-compute architectures enable the metaverse • The latest results from our boundless XR 5G/6G testbed, including device APIs and perception-enhanced wireless • 5G standards evolution for enhancing XR applications and the road to 6G • How Qualcomm Technologies is enabling the industry with platforms, SDKs, and reference designs

Enabling the metaverse with 5G- web.pdf

Enabling the metaverse with 5G- web.pdf

Enabling the metaverse with 5G- web.pdf

Qualcomm Research

AI model efficiency is crucial for making AI ubiquitous, leading to smarter devices and enhanced lives. Besides the performance benefit, quantized neural networks also increase power efficiency for two reasons: reduced memory access costs and increased compute efficiency. The quantization work done by the Qualcomm AI Research team is crucial in implementing machine learning algorithms on low-power edge devices. In network quantization, we focus on both pushing the state-of-the-art (SOTA) in compression and making quantized inference as easy to access as possible. For example, our SOTA work on oscillations in quantization-aware training that push the boundaries of what is possible with INT4 quantization. Furthermore, for ease of deployment, the integer formats such as INT16 and INT8 give comparable performance to floating point, i.e., FP16 and FP8, but have significantly better performance-per-watt performance. Researchers and developers can make use of this quantization research to successfully optimize and deploy their models across devices with open-sourced tools like AI Model Efficiency Toolkit (AIMET). Presenters: Tijmen Blankevoort and Chirag Patel

Presentation - Model Efficiency for Edge AI

Presentation - Model Efficiency for Edge AI

Presentation - Model Efficiency for Edge AI

Qualcomm Research

AI for wireless is already here, with applications in areas such as mobility management, sensing and localization, smart signaling and interference management. Recently, Qualcomm Technologies has prototyped the AI-enabled air interface and launched the Qualcomm 5G AI Suite. These developments are possible thanks to expertise in both wireless and machine learning from over a decade of foundational research in these complementing fields. Our approach brings together the modeling flexibility and computational efficiency of machine learning and the out-of-domain generalization and interpretability of wireless domain expertise. In this webinar, Qualcomm AI Research presents an overview of state-of-the-art research at the intersection of the two fields and offers a glimpse into the future of the wireless industry. Qualcomm AI Research is an initiative of Qualcomm Technologies, Inc. Speakers: Arash Behboodi, Machine Learning Research Scientist (Senior Staff Engineer/Manager), Qualcomm AI Research Daniel Dijkman, Machine Learning Research Scientist (Principal Engineer), Qualcomm AI Research

Bringing AI research to wireless communication and sensing

Bringing AI research to wireless communication and sensing

Bringing AI research to wireless communication and sensing

Qualcomm Research

Today, the 5G system mainly operates on a network-to-device communication model, exemplified by enhanced mobile broadband use cases where all data transmissions are between the network (i.e., base station) and devices (e.g., smartphone). However, to fully deliver on the original 5G vision of supporting diverse devices, services, and deployment scenarios, we need to expand the 5G topology further to reach new levels of performance and efficiency. That is why sidelink communication was introduced in 3GPP standards, designed to facilitate direct communication between devices, independent of connectivity via the cellular infrastructure. Beyond automotive communication, it also benefits many other 5G use cases such as IoT, mobile broadband, and public safety.

How will sidelink bring a new level of 5G versatility.pdf

How will sidelink bring a new level of 5G versatility.pdf

How will sidelink bring a new level of 5G versatility.pdf

Qualcomm Research

5G is designed to serve an unprecedented range of capabilities with a single global standard. With enhanced mobile broadband (eMBB), massive IoT (mIoT), and mission-critical IoT, the three pillars of 5G represent extremes in performance and associated complexity. For IoT services, NB-IoT and eMTC devices prioritize low power consumption and the lowest complexity for wide-area deployments (LPWA), while enhanced ultra-reliable, low-latency communication (eURLLC), along with time-sensitive networking (TSN), delivers the most stringent use case requirements. But there exists an opportunity to more efficiently address a broad range of mid-tier applications with capabilities ranging between these extremes. In 5G NR Release 17, 3GPP introduced a new tier of reduced capability (RedCap) devices, also known as NR-Light. It is a new device platform that bridges the capability and complexity gap between the extremes in 5G today with an optimized design for mid-tier use cases. With the recent standards completion, NR-Light is set to efficiently expand the 5G universe to connect new frontiers. Download this presentation to learn: • What NR-Light is and why it can herald the next wave of 5G expansion • How NR-Light is accelerating the growth of the connected intelligent edge • Why NR-Light is a suitable 5G migration path for mid-tier LTE devices

Scaling 5G to new frontiers with NR-Light (RedCap)

Scaling 5G to new frontiers with NR-Light (RedCap)

Scaling 5G to new frontiers with NR-Light (RedCap)

Qualcomm Research

Manufacturers seeking better operational efficiencies, with reduced downtime and higher yield, are at the leading edge of the Industry 4.0 transformation. With mobile system components and reliable wireless connectivity between them, flexible manufacturing systems can be reconfigured quickly for new tasks, to troubleshoot issues, or in response to shifts in supply and demand. There is a long history of R&D collaboration between Bosch Rexroth and Qualcomm Technologies for the effective application of these 5G capabilities to industrial automation use cases. At the Robert Bosch Elektronik GmbH factory in Salzgitter, Germany, this collaboration has reached new heights. Download this deck to learn how: • Qualcomm Technologies and Bosch Rexroth are collaborating to accelerate the Industry 4.0 transformation • 5G technologies deliver key capabilities for mission-critical industrial automation • Distributed control solutions can work effectively across 5G TSN networks • A single 5G technology platform solves connectivity and positioning needs for flexible manufacturing

Realizing mission-critical industrial automation with 5G

Realizing mission-critical industrial automation with 5G

Realizing mission-critical industrial automation with 5G

Qualcomm Research

3GPP Release 17: Completing the first phase of 5G evolution

3GPP Release 17: Completing the first phase of 5G evolution

3GPP Release 17: Completing the first phase of 5G evolution

Qualcomm Research

AI has made tremendous progress over the past decade, with many advancements coming from fundamental research from many decades ago. Accelerating the pipeline from research to commercialization has been daunting since scaling technologies in the real world faces many challenges beyond the theoretical work done in the lab. Qualcomm AI Research has taken on the task of not only generating novel AI research but also being first to demonstrate proof-of-concepts on commercial devices, enabling technology to scale in the real world. This presentation covers: The challenges of deploying cutting-edge research on real-world mobile devices How Qualcomm AI Research is solving system and feasibility challenges with full-stack optimizations to quickly move from research to commercialization Examples where Qualcomm AI Research has had industrial or academic firsts

AI firsts: Leading from research to proof-of-concept

AI firsts: Leading from research to proof-of-concept

AI firsts: Leading from research to proof-of-concept

Qualcomm Research

In December 2021, 3GPP has reached a consensus on the scope of 5G NR Release 18. This is a significant milestone marking the beginning of 5G Advanced — the second wave of wireless innovations that will fulfill the 5G vision. Release 18 will build on the solid foundation set by Releases 15, 16, and 17, and it sets the longer-term evolution direction of 5G and beyond. This release will encompass a wide range of new and enhancement projects, ranging from improved MIMO and application of AI/ML-enabled air interface to extended reality optimizations and broader IoT support.

Setting off the 5G Advanced evolution with 3GPP Release 18

Setting off the 5G Advanced evolution with 3GPP Release 18

Setting off the 5G Advanced evolution with 3GPP Release 18

Qualcomm Research

Cellular networks have facilitated positioning in addition to voice or data communications from the beginning, since 2G, and we’ve since grown to rely on positioning technology to make our lives safer, simpler, more productive, and even fun. Cellular positioning complements other technologies to operate indoors and outdoors, including dense urban environments where tall buildings interfere with satellite positioning. It works whether we’re standing still, walking, or in a moving vehicle. With 5G, cellular positioning breaks new ground to bring robust precise positioning indoors and outdoors, to meet even the most demanding Industry 4.0 needs. As we look to the future, the Connected Intelligent Edge will bring a new dimension of positional insight to a broad range of devices, improving wireless use cases still under development. We’re already charting the course to 5G Advanced and beyond by working on the evolution of cellular positioning technology to include RF sensing for situational awareness. Download the deck to learn more.

5G positioning for the connected intelligent edge

5G positioning for the connected intelligent edge

5G positioning for the connected intelligent edge

Qualcomm Research

The need for intelligent, personalized experiences powered by AI is ever-growing. Our devices are producing more and more data that could help improve our AI experiences. How do we learn and efficiently process all this data from edge devices while maintaining privacy? On-device learning rather than cloud training can address these challenges. In this presentation, we’ll discuss: - Why on-device learning is crucial for providing intelligent, personalized experiences without sacrificing privacy - Our latest research in on-device learning, including few-shot learning, continuous learning, and federated learning - How we are solving system and feasibility challenges to move from research to commercialization

Enabling on-device learning at scale

Enabling on-device learning at scale

Enabling on-device learning at scale

Qualcomm Research

The essential role of AI in the 5G future

The essential role of AI in the 5G future

The essential role of AI in the 5G future

Qualcomm Research

Data compression has increased by leaps and bounds over the years due to technical innovation, enabling the proliferation of streamed digital multimedia and voice over IP. For example, a regular cadence of technical advancement in video codecs has led to massive reduction in file size – in fact, up to a 1000x reduction in file size when comparing a raw video file to a VVC encoded file. However, with the rise of machine learning techniques and diverse data types to compress, AI may be a compelling tool for next-generation compression, offering a variety of benefits over traditional techniques. In this presentation we discuss: - Why the demand for improved data compression is growing - Why AI is a compelling tool for compression in general - Qualcomm AI Research’s latest AI voice and video codec research - Our future AI codec research work and challenges

How AI research is enabling next-gen codecs

How AI research is enabling next-gen codecs

How AI research is enabling next-gen codecs

Qualcomm Research

Role of localization and environment perception in autonomous driving

Role of localization and environment perception in autonomous driving

Role of localization and environment perception in autonomous driving

Qualcomm Research

Pioneering 5G broadcast

Pioneering 5G broadcast

Pioneering 5G broadcast

Qualcomm Research

Mais de Qualcomm Research (20)

Generative AI at the edge.pdf

Generative AI at the edge.pdf

Generative AI at the edge.pdf

The future of AI is hybrid

The future of AI is hybrid

The future of AI is hybrid

Qualcomm Webinar: Solving Unsolvable Combinatorial Problems with AI

Qualcomm Webinar: Solving Unsolvable Combinatorial Problems with AI

Qualcomm Webinar: Solving Unsolvable Combinatorial Problems with AI

Why and what you need to know about 6G in 2022

Why and what you need to know about 6G in 2022

Why and what you need to know about 6G in 2022

Understanding the world in 3D with AI.pdf

Understanding the world in 3D with AI.pdf

Understanding the world in 3D with AI.pdf

Enabling the metaverse with 5G- web.pdf

Enabling the metaverse with 5G- web.pdf

Enabling the metaverse with 5G- web.pdf

Presentation - Model Efficiency for Edge AI

Presentation - Model Efficiency for Edge AI

Presentation - Model Efficiency for Edge AI

Bringing AI research to wireless communication and sensing

Bringing AI research to wireless communication and sensing

Bringing AI research to wireless communication and sensing

How will sidelink bring a new level of 5G versatility.pdf

How will sidelink bring a new level of 5G versatility.pdf

How will sidelink bring a new level of 5G versatility.pdf

Scaling 5G to new frontiers with NR-Light (RedCap)

Scaling 5G to new frontiers with NR-Light (RedCap)

Scaling 5G to new frontiers with NR-Light (RedCap)

Realizing mission-critical industrial automation with 5G

Realizing mission-critical industrial automation with 5G

Realizing mission-critical industrial automation with 5G

3GPP Release 17: Completing the first phase of 5G evolution

3GPP Release 17: Completing the first phase of 5G evolution

3GPP Release 17: Completing the first phase of 5G evolution

AI firsts: Leading from research to proof-of-concept

AI firsts: Leading from research to proof-of-concept

AI firsts: Leading from research to proof-of-concept

Setting off the 5G Advanced evolution with 3GPP Release 18

Setting off the 5G Advanced evolution with 3GPP Release 18

Setting off the 5G Advanced evolution with 3GPP Release 18

5G positioning for the connected intelligent edge

5G positioning for the connected intelligent edge

5G positioning for the connected intelligent edge

Enabling on-device learning at scale

Enabling on-device learning at scale

Enabling on-device learning at scale

The essential role of AI in the 5G future

The essential role of AI in the 5G future

The essential role of AI in the 5G future

How AI research is enabling next-gen codecs

How AI research is enabling next-gen codecs

How AI research is enabling next-gen codecs

Role of localization and environment perception in autonomous driving

Role of localization and environment perception in autonomous driving

Role of localization and environment perception in autonomous driving

Pioneering 5G broadcast

Pioneering 5G broadcast

Pioneering 5G broadcast

Último

Artificial Intelligence Chap.5 : Uncertainty

Artificial Intelligence Chap.5 : Uncertainty

Artificial Intelligence Chap.5 : Uncertainty

Khushali Kathiriya

Axa Assurance Maroc - Insurer Innovation Award 2024

Axa Assurance Maroc - Insurer Innovation Award 2024

Axa Assurance Maroc - Insurer Innovation Award 2024

The Digital Insurer

Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.

Why Teams call analytics are critical to your entire business

Why Teams call analytics are critical to your entire business

Why Teams call analytics are critical to your entire business

The Good, the Bad and the Governed - Why is governance a dirty word? David O'Neill, Chief Operating Officer - APIContext Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 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 New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...

Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...

Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...

Effective data discovery is crucial for maintaining compliance and mitigating risks in today's rapidly evolving privacy landscape. However, traditional manual approaches often struggle to keep pace with the growing volume and complexity of data. Join us for an insightful webinar where industry leaders from TrustArc and Privya will share their expertise on leveraging AI-powered solutions to revolutionize data discovery. You'll learn how to: - Effortlessly maintain a comprehensive, up-to-date data inventory - Harness code scanning insights to gain complete visibility into data flows leveraging the advantages of code scanning over DB scanning - Simplify compliance by leveraging Privya's integration with TrustArc - Implement proven strategies to mitigate third-party risks Our panel of experts will discuss real-world case studies and share practical strategies for overcoming common data discovery challenges. They'll also explore the latest trends and innovations in AI-driven data management, and how these technologies can help organizations stay ahead of the curve in an ever-changing privacy landscape.

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

Accelerating FinTech Innovation: Unleashing API Economy and GenAI Vasa Krishnan, Chief Technology Officer - FinResults Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 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 New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...

Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...

Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...

Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Real Time Object Detection Using Open CV

Real Time Object Detection Using Open CV

Real Time Object Detection Using Open CV

AWS Community Day CPH - Three problems of Terraform

AWS Community Day CPH - Three problems of Terraform

AWS Community Day CPH - Three problems of Terraform

Andrey Devyatkin

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...

Modernizing Securities Finance: The cloud-native prime brokerage platform transforming capital markets. Madhu Subbu, Managing Director, Head of Securities Finance Engineering 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 - Modernizing Securities Finance by Madhu Subbu

Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu

Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu

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

EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER

EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER

EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER

Scalable LLM APIs for AI and Generative AI Application Development Ettikan Karuppiah, Director/Technologist - NVIDIA 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 - Scalable LLM APIs for AI and Generative AI Applicati...

Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...

Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...

Manulife - Insurer Transformation Award 2024

Manulife - Insurer Transformation Award 2024

Manulife - Insurer Transformation Award 2024

The Digital Insurer

Boost Fertility New Invention Ups Success Rates.pdf

Boost Fertility New Invention Ups Success Rates.pdf

Boost Fertility New Invention Ups Success Rates.pdf

sudhanshuwaghmare1

MySQL Webinar, presented on the 25th of April, 2024. Summary: MySQL solutions enable the deployment of diverse Database Architectures tailored to specific needs, including High Availability, Disaster Recovery, and Read Scale-Out. With MySQL Shell's AdminAPI, administrators can seamlessly set up, manage, and monitor these solutions, ensuring efficiency and ease of use in their administration. MySQL Router, on the other hand, provides transparent routing from the application traffic to the backend servers in the architectures, requiring minimal configuration. Completely built in-house and supported by Oracle, these solutions have been adopted by enterprises of all sizes for their business-critical applications. In this presentation, we'll delve into various database architecture solutions to help you choose the right one based on your business requirements. Focusing on technical details and the latest features to maximize the potential of these solutions.

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

Strategies for Landing an Oracle DBA Job as a Fresher

Strategies for Landing an Oracle DBA Job as a Fresher

Strategies for Landing an Oracle DBA Job as a Fresher

Remote DBA Services

MINDCTI Revenue Release Quarter One 2024

MINDCTI Revenue Release Quarter One 2024

MINDCTI Revenue Release Quarter One 2024

FWD Group - Insurer Innovation Award 2024

FWD Group - Insurer Innovation Award 2024

FWD Group - Insurer Innovation Award 2024

The Digital Insurer

Último (20)

Artificial Intelligence Chap.5 : Uncertainty

Artificial Intelligence Chap.5 : Uncertainty

Artificial Intelligence Chap.5 : Uncertainty

Axa Assurance Maroc - Insurer Innovation Award 2024

Axa Assurance Maroc - Insurer Innovation Award 2024

Axa Assurance Maroc - Insurer Innovation Award 2024

Why Teams call analytics are critical to your entire business

Why Teams call analytics are critical to your entire business

Why Teams call analytics are critical to your entire business

Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...

Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...

Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...

Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...

Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Real Time Object Detection Using Open CV

Real Time Object Detection Using Open CV

Real Time Object Detection Using Open CV

AWS Community Day CPH - Three problems of Terraform

AWS Community Day CPH - Three problems of Terraform

AWS Community Day CPH - Three problems of Terraform

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...

Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu

Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu

Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu

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

EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER

EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER

EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER

Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...

Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...

Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...

Manulife - Insurer Transformation Award 2024

Manulife - Insurer Transformation Award 2024

Manulife - Insurer Transformation Award 2024

Boost Fertility New Invention Ups Success Rates.pdf

Boost Fertility New Invention Ups Success Rates.pdf

Boost Fertility New Invention Ups Success Rates.pdf

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

Strategies for Landing an Oracle DBA Job as a Fresher

Strategies for Landing an Oracle DBA Job as a Fresher

Strategies for Landing an Oracle DBA Job as a Fresher

MINDCTI Revenue Release Quarter One 2024

MINDCTI Revenue Release Quarter One 2024

MINDCTI Revenue Release Quarter One 2024

FWD Group - Insurer Innovation Award 2024

FWD Group - Insurer Innovation Award 2024

FWD Group - Insurer Innovation Award 2024