- Mobile and Wireless Communications Research - Mobile and Wireless Communications Research Frost & Sullivan North American Mobile Enterprise Applications, 2018 A Survey of Customer Preferences, Plans and Impacts The future success of North American businesses rests in large part on their ability to truly mobilize their employees. Smartphones and tablets are not enough--It is the application software those devices enable that increasingly makes the difference between winners and losers in a high stakes economy driven by an ever more demanding customer base. This study examines the results of the Frost & Sullivan 2018 Mobile Enterprise Applications Survey of North American purchase decision-makers. As such, it: 1. Measures the current use of, and future decision-making behavior toward, mobile worker applications 2. Uncovers preferences and plans around a number of related mobility topics and issues in the workplace 3. Includes specific focus on three complex app categories: mobilized sales force automation, mobile workforce management (field service management), and mobile asset tracking The questions in this survey largely refer to internal mobile business applications, i.e., those software apps that are deployed to mobile workers. These are also called Business-to-Employee (B2E) software applications. Mobile worker apps allow employees real-time anywhere access to--and exchange of--information, collaboration and guidance. Companies justify their increasing investment in these software apps by pointing to the hard-dollar business impacts of increased efficiency and productivity and to enhanced customer engagement and employee satisfaction. As these survey results illustrate, mobile worker app needs are increasing in frequency and scope. This requires an app selection process that can encompass a widening range of variables, participants, and expectations that both app providers and app users should be aware of as development and purchase decisions are made. Major challenges for mobile worker app users and vendors include: 1) Neutralizing user concerns regarding data security, 2) Optimizing growth with the proper balance between app management and app usability, 3) Determining which new capabilities and technologies to incorporate and when to do so, 4) Choosing the right partners in order to improve capabilities and/or open up new markets, and 5) Making informed decisions when choosing between packaged vs. customized solutions.--BEGIN PROMO--

Key Issues Addressed

  • How pervasive are mobile worker apps in today's North American business sector? What are the near-term growth opportunities in the mobile worker applications market for today's providers?
  • What positive business impacts are users of mobile worker apps experiencing? What types of barriers prevent adoption of these solutions?
  • Which parties are typically involved in the application selection and deployment process? What types of external mobility partners—if any—are utilized in this process? What criteria are used to select these partners?
  • What criteria are most often used to select a specific mobile worker app? What is most popular—packaged third-party apps or fully customized solutions? Which delivery system is preferred—cloud or on-premise?
  • How do today's businesses characterize their current mobile worker app strategies—lagging, cutting-edge, or on par with their peers?
  • Is unauthorized mobile worker app use viewed as a problem? Which software application metrics are currently tracked by companies?
  • What is the level of interest in incorporating newer technologies such as wearables and artificial intelligence (AI)?
  • What are users reporting regarding more complex mobile worker apps (such as mobilized field service management and mobile sales force automation solutions)—in terms of customer satisfaction, expansion plans, business benefits, preferred mobile form factor, etc.?
Wed, 16 May 2018 00:00:00 +0100
Innovations and Initiatives in AI for the Pharmaceuticals Industry Artificial intelligence (AI) can be used to streamline drug discovery and drug repurposing processes, helping in reducing the time to market, and subsequently reducing the cost. Using AI, informed, critical decision based on logical reasoning can be made autonomously without human intervention, at a very high speed. AI helps in developing deep and complex correlations between disease and biomolecules. In drug discovery, AI is used in identifying disease marker and for predicting the mechanism of action. A deep neural network can help in discovering novel lead molecules with the desirable efficacy and safety profile. In clinical trials, AI can be used to automate the drug safety process, helping in pharmacovigilance. AI is relevant for all therapeutic indications. This digital technology is indication agnostic. This edition of the Future Tech TOE highlights the latest advancements in AI technology arena that are empowering the pharma industry to innovate across every level of the value chain. The TOE provides an overview of the key trends, drivers, and challenges pertaining to the adoption of AI in pharma, status of AI in the pharmaceutical industry, key industry initiatives and funding landscape, major partnerships in the space, key innovations related to drug repositioning, drug discovery and clinical trial management. The study also offers analysis of patenting trends revolving around various geographics under the technology and key spending of top Pharma companies toward AI projects. The Future Tech TechVision Opportunity Engine (TOE) captures emerging innovations in research and development, or profile existing technologies which have seen a resurgence in terms of new markets and applications. It usually provides a technology overview, drivers, challenges, research and development, analyst insights and key patent information. In some cases, technology convergence scenarios and future growth opportunities are outlined. It covers innovations and technologies in a variety of industry spaces including manufacturing, sensors, electronics, information and communications technologies, networks, lighting technologies, healthcare, medical devices, materials and coatings, and developments in the energy sector that contribute toward a sustainable and greener world. TechVision Information & Communication Technology cluster provides global industry analysis, technology competitive analysis, and insights into game-changing technologies in the wireless communication and computing space. Innovations in ICT have deeply permeated various applications and markets. These innovations have profound impact on a range of business functions for computing, communications, business intelligence, data processing, information security, workflow automation, quality of service (QoS) measurements, simulations, customer relationship management, knowledge management functions and many more. Our global teams of industry experts continuously monitor technology areas such as big data, cloud computing, communication services, mobile & wireless communication space, IT applications & services, network security, and unified communications markets. In addition, we also closely look at vertical markets and connected industries to provide a holistic view of the ICT Industry. Keywords: Artificial intelligence for pharmaceutical, drug discovery, drug repositioning, drug target identification, clinical trial management, medicinal chemistry, biostatistic, computational chemistry, patient recruitment, biomarker, pre-clinical, immuno-oncology, natural language processing, machine learning, deep learning, cognitive computing Fri, 4 May 2018 00:00:00 +0100 2018 Top Information and Communication Technologies The proliferation of digital technologies has remained substantial over the past two decades. With intelligence being seen as the next evolution post digitization, disruptive technology innovations in the ICT space are being developed around the world and have deeply permeated various applications and markets. The research service delves deeper into information and communication technologies from various technology and market attractiveness metrics such as innovation landscape, patent, funding, market potential, applications impact, regional adoption and disruptive potential. Technologies covered in this report include: Deep Learning, Blockchain, 5G, Cognitive Security, Haptic Reality, Conversational Computing, Small Data, Hyperimaging Analytics, XaaS (Everything-as-a-Service) and Edge Intelligence Mon, 30 Apr 2018 00:00:00 +0100 ICT Technologies Transfoming the Future of Automotive Sector ICT has led to transformational breakthroughs in the automotive landscape, enabling companies to gain a competitive advantage, creating new ways of generating revenue, and convergence of technologies that has disrupted the status quo. This report outlines the different types of information and communication technologies disrupting the automotive space, the factors driving their adoption, barriers to adoption, the use cases, emerging business models, and new revenue streams. This report covers disruptive Information and Communication Technologies disrupting the automotive sector, including - Machine Learning - Computer Vision - Cybersecurity - Blockchain - Advanced Analytics - Augmented Reality - Virtual Reality In brief, this research service provides the following: 1. A brief overview of ICT transforming the automotive sector 2. Technology overview and driver and challenges 3. An overview of how each technology impacts the automotive space 4. Who are the major players in each technology area? 5. Relevant use cases of industry players 6. Convergence Scenarios 7. Emerging business models 8. Key finding and analyst POV Fri, 27 Apr 2018 00:00:00 +0100 South Africa ICT Outlook, 2018 This study provides a 2018 outlook for the South African information and communication technologies (ICT) market. The research scope includes telecommunications, broadcasting, data centres, cloud, IT services, business process management (BPM) services, Internet of Things (IoT), and Artificial Intelligence (AI). Market trends that are examined include regulations/mandates, macroeconomic trends, technological developments, partnerships, acquisitions, and general trends in the country.--BEGIN PROMO--

Research Scope

The study explores growth opportunities that will be created by ICT service providers and identifies potential business models. It evaluates ICT service providers’ future focus on infrastructure, technologies, services, and business models, and includes a 2018 growth/market share analysis.

Analysis for 2017 and 2018 includes measurements for fixed-line, mobile, Internet/data, and broadband; 2017–2018 growth rates are provided. Insights about influential start-ups are discussed in detail.

Strategies, a competitive landscape, growth analysis, and future focus are discussed for telecommunications providers (e.g., Telkom, MTN, and Vodacom) and IT service providers (e.g., Dimension Data, IBM, and T-Systems) pertaining to 2017. The base year for the study is 2017, with 2018 as forecast period.

Key Issues Addressed

  • What are the top predictions and leading market trends that will drive the various sectors of the ICT market in 2018? What will be their impacts?
  • What is the role of technology startups and their impact? What are the key startups and which major industries will be disrupted by them?
  • What are the key growth opportunities and strategic imperatives for current and potential ICT market participants in 2018?
  • What is the total ICT market size in 2017? How is the market forecasted to grow in 2018?
  • What is the impact of the PESTLE (political, economic, social, technological, legal, and environmental) framework and trends on market growth?
  • What are the key emerging technologies that will disrupt the ICT industry in 2018? How will these technologies impact the ICT industry in 2018?
  • What are the potential business models and key Mega Trends that will transform the ICT market in 2018? What will be their impacts?
Tue, 17 Apr 2018 00:00:00 +0100
Huawei s 2018 5G Analyst Summit Tue, 3 Apr 2018 05:26:01 +0100