Edge Computing is necessary architecture to meet the requirements of 5G applications and allows service providers to address the needs of vertical markets. The implementation of Multi-access Edge Computing (MEC) has until now lacked a compelling business case but this could change soon as service providers develop their strategy on how to best address vertical markets. This paper provides a perspective on MEC outlining some of the key benefits and challenges facing the ecosystem that must be overcome for wider MEC adoption.
The rapid emergence of open source models in the design of telecom and network infrastructure systems is a trend that could drastically change the industry value chain and underlying competitive dynamics. Several strategic initiatives initiated by Cloud and Internet players, telecom operators, and disruptive startups portend a new paradigm reshaping this sector over the next few years. In this paper, we summarize our view on the potential of open source technologies and impact on business models in the telecom ecosystem. These views are based on our involvement in the development of telecom networks and Cloud infrastructure, which we intersect with the observations of leaders in these ecosystems.
vRAN is a disruptive technology that is rapidly becoming more feasible. Current architectures being pursued by the TEMs, will allow MNOs to improve the performance of HetNets specifically related to interference and mobility management, but will fall short of having a disruptive impact on the industry. Disruption will come from vRAN technologies when the fronthaul challenge is solved. This will alter the MNO-TEM relationship and market structure, and will allow new entrants into the market such as the fixed access service providers.
This paper outlines the main characteristics of the home automation market and expose trends are shaping the market, raising challenges, and creating new opportunities.
In this paper, we set out an ecosystem reference model for IoT and provide a brief overview of some key challenges, with special emphasis on the legal and regulatory aspects, how they are being addressed and how upcoming changes may impact in the future.
This white paper focuses on the different roles that International Carriers can play in IoT and what steps they need to take now to guarantee a future that is more than providing the bit pipe necessary to make things work under the covers.
Wide-area IoT connectivity is on the cusp of a major shakeup that will unfold over the next few years. While the wireless industry worked on retrofitting cellular technologies and service models designed for consumer broadband to running M2M/IoT networks, narrowband or LPWA have emerged to provide an optimized connectivity solution for IoT/M2M by addressing requirements for low-power, long range, scalability and longevity in the field. This paper provides an overview of emerging IoT connectivity protocols and identifies the threats and opportunities in these approaches where emerging dynamics are setting the boundaries for collaboration and competition to decide the winners in a market valued in the trillions of dollars.
This paper presents the views and takeaways of Xona Partners on the latest developments and future trends in the mobile industry that can be ascertained from the 2015 edition of MWC. We cover multiple functional areas and highlight potential disruptive technologies that will impact the telecom industry in the near future.
Investments are steadily flowing into the Internet of Things (IoT) ecosystem as investors attempt to match market analysts’ optimism about the sector. In this paper, we examine where different classes of investors are placing their money and the strategic reasons behind such investments.
The Internet of Things promises to unlock huge economic potential estimated in the trillions of dollars. Companies in different industries are jockeying for position in this field with many wondering what they’re strategy should be – where and how to play in IoT to best capitalize on this emerging opportunity. In this paper, we put forward a 5-layer model for the IoT ecosystem as part of a framework to gauge the evolution of IoT. We then put forward a few observations on key trends, including policy and regulatory constraints that play a pivotal role in shaping the development of the IoT.
This paper presents a comprehensive methodology for the design and implementation of cloud based IaaS/PaaS/SaaS and migrating applications to these environments. Along with this, an innovative cloud monitoring and optimization solution is introduced, with the aim of dynamically adapting cloud resources, based on the processing performance requirements. Specific case studies are described and learing from these deployments synthesized.
In this paper, we introduce a novel technology & strategy advisory model, based on a hands-on operational execution and a shared risk shared return model. It is based on a technology incubation approach, followed by a progressive spin-in into the client’s business, creating as such new revenue streams in adjacent businesses. Illustrative case studies implementing this model with leading technology clients are presented.
In this paper, we highlight our collective experience from working in the Banking and non-Bank lending ecosystem in the United States leveraging our experience in Data Science and Big Data Analysis technologies. We discuss the multiplying impact of such lending practices on the economy in emerging and fast developing economies due to increased access of credit to the innovation ecosystem and venture capital funded startups.
In this paper, we identify the trends that shape the market for RF distribution systems. We outline innovations in DAS design and project its future evolution within the context of technological and commercial market drivers. We argue that the business model and applications enabled by DAS and competing technologies, such as small cells and distributed radio systems, is key to shaping the outcome of the competitive landscape. Seen from this perspective, DAS has the advantage of allowing operators share a common infrastructure. The evolution of DAS provides for new applications and market opportunities.
In this paper we synthesize our experiences with experimentation around customizing and applying select advanced data science algorithms to a software assisted wealth management advisor (the hybrid “Robo-Human” advisor, or Robo-Advisors) capability. Specifically we address how data science can be used to segment customers’ wealth management requirements by needs and preferences and develop a semi-automated and customized advice offering.
The Mobile World Congress is the premier wireless industry event where new products are announced, ideas are shared and deals are made. This paper presents the views of Xona Partners on the latest developments and future trends in the mobile industry that can be ascertained from the 2014 edition of MWC.
Unlike many other data science articles that cover the basics and technological underpinnings, this paper takes a practitioner’s viewpoint. It identifies the use cases for Big Data science, its engineering components, and how Big Data science is integrated with business processes and systems. In doing so, it respects the large investments in data warehouse and business intelligence and shows both evolutionary and revolutionary — as well as hybrid — ways of moving forward to the brave new world of Big Data science.
We highlight Xona’s collective Silicon Valley experience in the various components of the innovation value chain, from technology ideas incubation, to venture capital funding, to growth into global markets, as well as successful business exits, to develop a Silicon Valley inspired technology and innovation ecosystem, and in allowing our clients to develop a low risk, insightful presence in the Valley and kick start an evolutionary innovation centric environment of their own.
We address the opportunities emerging for mobile network operators to take advantage of the evolution of health care, and describes a home based health care application use case designed and deployed to illustrate such opportunities. Specifically, it addresses the potential synergetic models developing between health care providers and mobile operators.
Building on our broad involvement in various strategy development initiatives around Asia, and working with the lead telecom operators, technology players and regulators, we provide a snapshot of the overall eco-system, across regions and industries, as well as a synthesis of the most disruptive trends we foresee in the near future, along with their potential impact on the various eco-systems in the mobile and telecom industry value chain.
Forward-looking access service providers have amassed considerable fiber optical assets complemented by Wi-Fi services. This paper discussed the synergy with Mobile Network Operators in light of ongoing business model and technology developments, with a focus on evolving network and spectrum sharing trends. It also addresses the direct impact on service providers’ business models, and concludes on the likely emergence of large-scale Internet and cloud-centric virtual operators.
In this paper, we synthesize our experience on the experimental front applying and customizing select advanced data science algorithms to a new set of financial services and technologies applications. Specifically, we address the problematic of risk management, fraud detection, financial customer characterization and framing of new financial services offers to various customer segments.
With data services here to stay, the question is then how can the mobile industry meet the long-term demand of subscribers? What are we to expect over the next 5 to 10 years, as far as mobile network evolution? We present in this whitepaper our vision of 5G and outline some of the key technologies that will shape future wireless networks including laying out fundamental architectural developments and mobile technology deployment models that one shall anticipate in the era of beyond 4G networks.
In the whitepaper, we review the opportunities that online advertising evolution, specifically the emergence of real time bidding (RTB), and growth of mobile advertising opens up to the various players in the online advertising value chain, including Ad Exchanges, DSPs, SSPs, and telecom and data center operators, in terms of business models and underlying solution development and deployment.
Unlike many other articles that cover the basics and technological underpinnings of Big Data Analytics, this paper takes a practitioner’s viewpoint. It identifies the use cases for Big Data Science, its engineering components, and how Big Data Science is integrated with business processes and systems. In doing so, it respects the large investments in Data Warehouse and Business Intelligence and shows both evolutionary and revolutionary— as well as hybrid— ways of moving forward to the brave new world of Big Data Science.
In this paper we describe and highlight some applications of Data Science to mobile networks as a way to demonstrate applicability and value of such techniques in the real world. We also address some of the upcoming challenges foreseen in the mobile eco-system from the perspective of data analytics; map them to revenue generating services, and present data science centric solutions to address them.
Do the network operators have it better than the OTT players? Do the OTT players have it better than the investors in network infrastructure? Are the equipment vendors hurting because network operators are squeezing their revenues? No certainties, but what is clear is that we are at some major industry inflection points, as far as business model change and underlying technology innovation is concerned.
This paper introduces highlights of specifications for a dynamic hosted networking ecosystem for bidding optimization, which provides direct benefits to DSPs, SSPs, DMPs, Ad Exchanges and the various players in the online advertising value chain, as well as new revenue generating services for data center hosting providers and telecom transit providers.
The recent string of technology IPOs highlights the evolution cycle of technologies. This paper presents a framework for the evolution of technologies with the aim to be able to predict the next disruptive technologies.
Small cells are one solution to ever increasing demand for mobile data. This paper presents a case study of an operator in Canada where we forecast traffic growth and map it against network capabilities to predict outdoor small cell deployment timelines and corresponding quantity.