Digital Transformation | Kisaco Research

Digital Transformation

Digital Transformation is about how technology changes the conditions under which business is done, in ways that change the expectations of customers, partners and employees.

The Digital Transformation series unites enterprise and technology, business and IT, for frank and pragmatic discussions of best practices for change management, governance and technology implementation. The digital future is unchartered territory for everyone, with no clearly defined endgames, nor universal metrics for success, but having a network of peers to build understanding and help shine a light on the path forward is going to be critical for success.

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17-18 Sep 2019
COMPUTER HISTORY MUSEUM, MOUNTAIN VIEW, CA
Take advantage of over 9 hours of dedicated networking time to meet key industry leaders, whilst also exploring:  Luminary Keynotes: Unique perspectives from industry luminaries in hardware (John Hennessy), AI (TBC) and investment (Lip-Bu Tan).Innovations and Optimizations of Silicon & Systems for AI Training & Inference: Presentations and product launches from C-level executives from AI chip start ups, semiconductor companies and systems OEMs.Training & Inference at Hyperscale & AI Accelerators in the Data Center Hardware Environment: Deployment & maintenance of AI infrastructure in data centers, hardware requirements for training & inference at scale.Inference in Client (Edge) Computing: Applications for AI accelerators in cameras, consumer electronics, autonomous vehicles etc.Beyond Compute: AI’s Impact on Memory, Storage & Networking: Innovations in HBM, on-chip memory and NVM, I/O bottlenecks, data transfer & high-speed interconnects.The Impact of Future ML Models on Hardware Design: Machine Learning co-design, robustness & reprogrammability, model standardization & interoperability.AI Chip Design & Commercialization: Design, testing & manufacturing, form factors & routes-to-market.Financial & Industrial Analysis: Market growth and maturity, VC investment trends & dynamics, the commoditization of the inference market, benchmarking & metrics.“Two overarching efforts are indispensable in this AI chip development frenzy: objectively evaluating and comparing different chips (benchmarking), and reliably projecting the growth paths of AI chips (road mapping).” White Paper on AI Chip Technologies: Tsing Hua University & Beijing Innovation Center for Future Chips, December 2018.
 
Drone Disruption Summit
15 Oct 2019
London, UK
The drone industry is booming with a forecasted 218% increase in sales between 2016 and 2020. With the increased number of drones, comes the increased potential for their misuse, pilot reports of drone encounters have increased 1,220% since 2013 in the U.S.The two-day shutdown at Gatwick Airport on the 19th December 2018 cost airlines $64 million. Since the initial shutdown, there have been several well-publicized similar events in Dubai, Milan, Frankfurt, and Newark showing the drone attacks in December were not a one-off occurrence.The drone threat has prompted Gatwick to invest in technology worth $6.5 million in the 2 weeks the attack. MPs have since stated that the government is legislating for the purchase of drone detection technologies. International aviation organizations have not yet widely adopted counter-drone technology, leaving airports vulnerable to drone threats and incursions.These events have raised the profile of the disruptive powers of drones, and airport management teams and governments are aware that they need to step in.
 
Edge AI Summit 2019
19-20 Nov 2019
Silicon Valley, USA
Data has gravity.It is well known that the network edge, in the Internet of Things, is where the critical mass of digital data resides, and where it is collected. Scalability bottlenecks to ubiquitous AI, such as power consumption, bandwidth, latency, connectivity and security have led to recent innovations in on-device processing and edge infrastructure such as micro-data centers and distributed computing architecture.The Edge Computing market will reach $34 billion by 2023, growing at 35% annually, unleashing a wave of services and applications at the network edge that can be optimized with artificial intelligence. As a recent explosion in hardware innovation provides the necessary compute to migrate diverse AI workloads to the Edge, a new generation of edge-native and edge-enhanced software applications is emerging.The Edge AI Summit will bring together 200+ key thought-leaders and industrial practitioners to discuss the challenges and opportunities of decentralized, distributed intelligence. Join us to examine use cases of edge-based artificial intelligence applications and explore this new computing paradigm that promises to accelerate and democratize AI adoption across the globe. This event is intended for Senior Director/VP-level attendees and above, and is a high-level networking and business development meeting, with content tracks focusing on both business and technology.
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4-5 Jun 2019
HILTON BEIJING CAPITAL AIRPORT, BEIJING, 100621
The AI Hardware Summit is the first and only conference dedicated solely to the ecosystem developing hardware accelerators for neural networks and computer vision.Join 200+ senior technology leaders from AI chip start-ups, semiconductor companies, system vendors/OEMs, data centers, end users, financial services, investors and fund managers, to build a comprehensive architectural roadmap of the emerging AI chip market.Take advantage of unique networking opportunities to meet key industry leaders 1-2-1, whilst also exploring:  Innovations and Optimizations of High-Performance Chip Architectures: GPUs, ASICs & TPUs, FPGAs…Alternative Approaches: hybrid digital/analog computing, neuromorphics & neuromemristive systems, quantum computing.The Role of Software: assistance software, software frameworks, ecosystems, and applications. Generating user-friendly native code and linking open source machine learning frameworks like TensorFlow & Caffe.Industry Developments: Start-up & Corporate R&D, Venture Capital and Corporate Venture Capital investment trends, strategic acquisitions & partnerships.Forecasts predict that the AI (chipsets) market is expected to grow from USD 7.06 Billion in 2018 to USD 59.26 Billion by 2025, at a CAGR of 35.5% from 2018 to 2025 (Business Wire, 2018), the chip market is no longer standing still. As we approach a paradigm shift in computing, there is little doubt that a combination of the processing units currently in development will accelerate AI research and development, far beyond the capabilities of current platforms.  There is need for sharing knowledge on the best way to turn this shift into an opportunity and roadmap the future ahead.
 
AI Hardware Summit Asia - Mandarin
4-5 Jun 2019
HILTON BEIJING CAPITAL AIRPORT, BEIJING, 100621
人工智能硬件峰会是第一个也是唯一一个专门探讨开发用于神经网络与计算机视觉的硬件加速器这一生态系统的行业峰会。参加峰会,与200多位来自人工智能芯片领域的新创企业、半导体公司的资深技术领导、系统供应商/原始设备制造商、数据中心、终端用户、金融服务机构、投资人及基金公司汇聚一堂,共同构建新兴人工智能芯片市场的总体综合路线图。利用独特的交流机会,与主要行业领袖进行1-2-1单独接触,就以下继分领域进行深度交流: 高性能芯片架构的创新与优化:GPU(图形处理器)、 ASIC(专用集成电路)& TPU、FPGA(…替代性方案:复合数字/模拟计算、神经形态学和神经忆阻系统(neuromemristive systems)与量子计算。软件的作用:辅助软件、软件框架、生态系统和应用。生成用户友好的原代码,并将TensorFlow&Caffe等开源机器学习框架链接起来。行业发展:创业与企业研发、风险资本与企业风险投资的投资趋势、战略性并购与合作。  各项预测预言,人工智能(芯片组)市场有望从2018年的70.6亿美元增长到2025年的592.6亿美元, 期间年复合增长率达到35.5%(Business Wire,2018)。因此,芯片市场将迎来停滞不前。我们正处于计算范式的转变期,毋庸置疑的是,目前正在开发的处理单元的结合将加快人工智能的研究与开发,而人工智能的性能将远远超过现有平台。。因此,对如何将这一趋势转化为机遇,如何规划未来,需要我们分享我们的认识与见解。您现在可以查看议程并在微信上付款 
 
Strategic Cloud Migration Summit
14 May 2019
London, United Kingdom
The cloud has rapidly grown from being a market disrupter to an essential IT strategy for enterprise.  77% of businesses have at least one application or portion of their enterprise IT infrastructure in the cloud.  Migrating to the cloud is tough. Whether you are fully cloud-native, in a hybrid cloud environment or just taking the first steps, The Cloud Migration Summit will debunk migration myths and help IT Strategists and I&O leaders properly foster a corporate cloud culture and avoid migration pitfalls that might ramp up expenses bureaucracy and hamper digital transformation efforts. Discover how the cloud front runners and industry leaders accelerated their digital transformations through a series of dedicated case studies, panel discussions and round tables.83% of IT workloads will be in the cloud by 2020. Don't get left behind the curve.
 
Autonomous Vehicle Hardware Summit
27 Mar 2019
Silicon Valley, CA
The Autonomous Vehicle Hardware Summit is the first and only conference focusing solely on architectural and engineering challenges for silicon, sensors and systems in autonomous vehicles. The automotive electronics industry will grow to $280 billion by 2020, and will likely look very different, as new entrants such as NVIDIA enter the space with new autonomous driving solutions and advanced-node AI accelerators. Many new entrants have little to no experience of the automotive industry’s stringent functional safety requirements, while testing and simulation methodologies for semiconductor products are meeting with skepticism from auto OEMs and their suppliers.To control the automated driving value chain a knowledge of hardware is crucial – the hardware architectures of Level 3, 4 & 5 AVs, often termed ‘super computers on wheels’, will be fundamental to the ultimate effectiveness and cost of the vehicle, and the overall quality of the user experience. The AV Hardware Summit will bring together 150+ tech and auto leaders to help overcome these challenges and pave the way for the next generation of driverless cars.
 
Edge AI Summit
11 Dec 2018
San Francisco, USA
Data has gravity.It is well known that the network edge, in the Internet of Things, is where the critical mass of digital data resides, and where it is collected. Scalability bottlenecks to ubiquitous AI, such as power consumption, bandwidth, latency, connectivity and security have led to recent innovations in on-device processing and edge infrastructure such as micro-data centers and distributed computing architecture.The Edge Computing market will reach $34 billion by 2023, growing at 35% annually, unleashing a wave of services and applications at the network edge that can be optimized with artificial intelligence. As a recent explosion in hardware innovation provides the necessary compute to migrate diverse AI workloads to the Edge, a new generation of edge-native and edge-enhanced software applications is emerging.The Edge AI Summit will bring together 200+ key thought-leaders and industrial practitioners to discuss the challenges and opportunities of decentralized, distributed intelligence. Join us to examine use cases of edge-based artificial intelligence applications and explore this new computing paradigm that promises to accelerate and democratize AI adoption across the globe. This event is intended for Senior Director/VP-level attendees and above, and is a high-level networking and business development meeting, with content tracks focusing on both business and technology.
 
AI Hardware Summit 2018
18-19 Sep 2018
Computer History Museum, Mountain View, CA
The AI Hardware Summit is the first and only conference dedicated solely to the ecosystem developing hardware accelerators for neural networks and computer vision.Join 250+ senior technology leaders from AI chip start-ups, semiconductor companies, system vendors/OEMs, data centers, end users, financial services, investors and fund managers, to build a comprehensive architectural roadmap of the emerging AI chip market.Take advantage of unique networking opportunities to meet key industry leaders 1-2-1, whilst also exploring:  Innovations and Optimizations of High-Performance Chip Architectures: GPUs, ASICs & TPUs, FPGAs…Alternative Approaches: hybrid digital/analog computing, neuromorphics & neuromemristive systems, quantum computing.The Role of Software: assistance software, software frameworks, ecosystems, and applications. Generating user-friendly native code and linking open source machine learning frameworks like TensorFlow & Caffe.Industry Developments: Start-up & Corporate R&D, Venture Capital and Corporate Venture Capital investment trends, strategic acquisitions & partnerships.Forecasts predict that the AI (chipsets) market is expected to grow from USD 7.06 Billion in 2018 to USD 59.26 Billion by 2025, at a CAGR of 35.5% from 2018 to 2025 (Business Wire, 2018), the chip market is no longer standing still. As we approach a paradigm shift in computing, there is little doubt that a combination of the processing units currently in development will accelerate AI research and development, far beyond the capabilities of current platforms.  There is need for sharing knowledge on the best way to turn this shift into an opportunity and roadmap the future ahead.
 
Artificial Intelligence: Transforming Pharma
21-22 Feb 2018
Boston, USA
The Artificial Intelligence: Transforming Pharma Congress will discuss AI's potential for more efficiently discovering medical trends and efficacious therapeutics and also for streamlining the development phase. We'll be sharing case studies and analysis into current AI partnerships and collaborations.
 
RPA & Cognitive Congress Dallas
17-18 Jan 2018
Dallas, TX, USA
RPA & Cognitive Congress Dallas is assembling leading service delivery and automation professionals for frank and pragmatic discussion about RPA, the benefits and opportunities of this technology, and the real-world challenges they’re facing in implementation.
 
12-13 Dec 2017
Bengaluru, India
The RPA and Cognitive Congress is India’s first deep-dive RPA and Cognitive automation conference. This event follows on from two successful events earlier this year in London and Orlando, attracting 120+ leading executives in service delivery.
 
Nordic RPA and Cognitive Congress
10-11 Oct 2017
Stockholm, Sweden
The Nordic Robotic Process Automation & Cognitive Congress will examine RPA’s transformational impact as a digital tool for back office processing. The content of our two-day congress details case studies from leading organizations globally and addresses how these businesses have effectively utilized RPA as a means to improve service delivery, enhance productivity and reduce costs.

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