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Digitization

Optimization

Transformation

Digital transformation is leading organizations to leverage information technology to drive new business, and investigate how emerging technologies can transform their operations, innovate how they deliver products and services, reduce costs, as well as improve the way they interact with customers, potentially improving retention rates, up-sell, and customer satisfaction.

Emerging technologies are disrupting business models and unleashing new opportunities. They’re transforming how organizations interact with customers, manage employees, streamline workflows, and deliver products and services.

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Connected Business

Game Changers & Modern Best Practice Enablers

To make these transformations successful, you must decide which emerging technologies - the cloud, mobile, analytics, social, the Internet of Things, augmented and virtual reality, and big data - are most critical for your organization’s success. And you must be in a position to anticipate future disruptions in your organization and operations.

The emerging Apps and Platforms ecosystem

Gain insight into the new strategies and platforms companies need to capitalize on the emerging Apps and Platforms ecosystem, including how businesses and consumers are connecting to the digital world.

Smartphones, App Ecosystems, Chatbots, Messaging Apps, Voice Assistants, Augmented Reality, Virtual Reality, Smart Cities, Smart Homes, Cybersecurity, Industry 4.0, Advanced manufacturing, IoT Platforms, Robotics, Blockchain.

Major multinational corporations have realized the necessity of a Digital Transformation Accelerator to train staff in digital and manage the innovation and transformation process.

Modern Best Practice Enabler technologies and topics include:

  • Digital transformation strategies including drivers, digital strategies, technology investments, and how they ultimately measure success

  • Big Data Analytics

  • Artificial Intelligence and machine learning (natural language processing, business process automation, digital whiteboards, virtual personal assistants)

  • Internet of Things (IoT)

  • Blockchain

  • Cloud, Networking and DevOps

  • Digital Workplace Collaboration (team collaboration, digital whiteboards, next-generation videoconferencing)

  • Digital Customer Experience and Interaction applications (contact center, CRM.)

  • Next-generation endpoint computing

  • Cybersecurity

  • Technology and Provider Selection

  • Total Cost of Ownership and ROI

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Solutions That Drive Transformation

Enterprise technologists need to rethink their infrastructure strategies, making the move to cloud-based applications.

We help business leaders with actionable insights and visionary advisory for digital enterprise and business initiatives in terms of data management, tools and frameworks, in optimizing and transforming their business, while balancing risk and innovation.

DISRUPTIVE INNOVATION STRATEGY | Next generation digital transformation services & solutions

The rapid improvement in technologies especially in Social, Mobile, Analytics and Cloud (SMAC) have forced organizations to revisit their products, services and business models to stay relevant and stay ahead of upcoming competition.

Emerging Innovation

Tap into new data sources, gain new insights and improve operational efficiencies.

80% of leading companies say digital transformation has increased profitability.
Source: SAP and Oxford Economics
Research shows that emerging digital ecosystems could account for more than trillion in revenue by 2025 (or more than 30% of global corporate revenue), and yet only 3% of established companies have adopted an active platform strategy.



Digital transformation is picking up pace as smart devices, machine learning, Artificial intelligence, Internet of Things, Cognitive computing, Big data and Analytics, Blockchain, Augmented Reality, 3D Printing, SaaS, DevOps, and Cybersecurity are making new crossroads.

Such disruptive innovation can bring new a level of automation, monitoring, and sensor-enabled insight.

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Smart Connected Devices and Emerging Technologies

Research in the context of increasing connectivity and accelerating technology development.
Insights into the PC, tablet, mobile phone, connected devices, and AR/VR technologies.
The adoption of current and next-generation devices, and how mobility and connectivity advances drive the deployment of new devices supporting business transformation.

  • How are mobility and connectivity shape businesses' mobile computing strategies and which technologies are best positioned to support business transformation

  • Smart connected devices: PCs, tablets, hybrids, smartphones, wearables

  • Next-generation devices: AR/VR, robotic devices

  • User choices (product, accessories, branding and solutions)

  • Connected home - device penetration, emerging technologies, and usage patterns

  • Workplace transformation - device adoption and opportunities

  • Competitive landscape, business models, and strategies

  • Consumer and B2B device channels evolution

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Digital Business Models and Monetization

Insights into monetization models, - enabled by emerging technologies, such as IoT, Blockchain, Augmented and Virtual Reality, AI, and Data-as-a-Service (DaaS), - including subscription, usage, consumption, and outcomes-based pricing approaches, and subscription analytics to understand the best practices: People, process, and technology strategies for business model implementation success.

Technologies, emerging trends, and best practices needed to monetize the digital economy and profiles of vendor business models.

Digital Transformation Strategies & Innovation Acceleration Technologies

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Emerging Innovation

Foster a Data-Driven Culture in Your Organization

Your future success hinges on the data you hold and process, be it through analytics to build a single view of the customer, or use of machine learning and AI to optimise and transform key business and operational processes and to reimagine experiences.

Leverage Innovations to Boost your Business

We track growth indicators, market landscapes, strategic trends, technological adoption benchmarks and consumer sentiment and lifestyle trends to identify innovation opportunities and offer actionable insights into next-generation technologies, including data storage, data security, data analytics, DevOps, Mobile and AI, IoT.

Adopting Innovations

Companies must continually modernize apps and features to keep up with competitors, and development enabling dynamic software development play a critical role in determining how fast the innovations are adopted to drive the biggest benefits.

We analyze the business impact of emerging technologies

We address value-based considerations in workplace settings and information management applications, to help you understand when to use what, with what skills, at each stage of an organization’s journey to accelerate the growth of your business.
We explore security concerns and the techniques and technologies that allow deployment and use with a minimum of risk.

According to John Burke, Principal Analyst and CIO, Nemertes Research, IT infrastructure in 2025 will be more, seamlessly mingling on-premises and cloud resources and supporting everything from AI, Blockchain to IoT.

Our research analyzes next generation digital transformation themes.

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AI

AI systems use natural language processing and understanding, conversational technologies, deep learning, and machine learning to answer questions, provide recommendations and direction, and automatically adapt and learn.

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Insights about the AI business case development, pricing and packaging trends, regulatory and ethical considerations.

  • AI-enabled automation trends and growth rates | Market Trends, Forecasts, and Vendor Market Shares

  • Industry adoption, drivers, barriers, best practices and use cases

  • Market developments and trends, as well as the organizational structure needed to leverage AI capabilities

Operationalize AI

AI Data Platforms and advanced analytics provide greater customer insight supporting personalization and the ability to react to change faster.
AI technologies and platforms, and the use of software systems employing Artificial Intelligence (AI) and cognitive computing algorithms and techniques.

... Source: IBM
  • Cognitive Computing, Deep Learning, and Artificial Intelligence software and platforms;

  • Machine learning, neural networks and deep learning, transfer learning, and other AI algorithms and predictive analytics;

  • Intelligent RPA and Conversational interfaces, chatbots, and natural language processing;

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  • Content and text analytics for natural language processing, social media monitoring, reputation monitoring, and automatic translation and sentiment analysis;

  • Exploration, search, and discovery technologies including search engines, recommendation engines, and mobile search, auto-categorization, and information visualization;

  • Rich Media Analytics, including image and video analytics, exploration, and discovery technologies and applications including computer vision;

  • Audio, voice/speech recognition, and analytics.

Websites that offer recommendations that may be of interest based on recent purchases use machine learning in personalizing shopping experiences.

Machine learning is the science of getting computers to act without external programming.
With machine learning companies work more efficiently and outperform their competitors.

  • Financial Services: Banks use machine-learning technology to identify red flags and detect high-risk profiles and pinpoint fraud and identity theft;

  • Health Care Machine learning is widely used in the healthcare industry. Wearable devices and sensors use data to track a patient’s health in real time, leading to proper diagnosis and treatment. Wearable devices that report on patient metrics, helping clinicians improve a person’s health;

  • Manufacturing: Streams from shop floor machines combined with worker productivity measurements and production output data can deliver efficiencies such as predictive maintenance and improved job scheduling;

  • Agriculture: Intelligent field monitoring that receives data from weather, soil and seed sensors, helping farmers plant the right crops at the right time in the best location as to ensure the highest yield;

  • Transportation Data analysis and pattern recognition driven by machine learning are important tools for more efficient delivery and public transportation;

  • Distribution & Logistics: In optimising logistics, sensors correlate vehicle locations, pallets, goods and employees, boosting the efficiency of the logistics chain;

  • Travel: In optimising travel experience, sensors correlate flight data with luggage and passenger location, offering customer-centric services;

  • Oil and Gas Machine learning is increasing adoption in the oil and gas industry, by analyzing minerals, detecting refinery sensor failure and expediting oil discovery;

  • Public services: embedded road sensors that monitor traffic, air pollution and highway conditions;

  • Energy and environmental: Connected sensors and applications allow businesses to centrally control devices and the energy they consume for greater cost savings and enhanced sustainability;

  • Professional Services: Machine learning applications in automating payment matching in finance, intelligent job matching in HR through to gathering, analysing and responding to feedback in Customer Services. Marketing and Sales.

Websites that offer recommendations that may be of interest based on recent purchases use machine learning in personalizing shopping experiences.

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The Internet of Things (IoT) ecosystem

Companies are rapidly adopting smart devices that use internet and cloud-based connectivity to monitor and control systems, products, and services.
The number of smart devices is growing rapidly, producing large amounts of data. In order to collect this data in a centralized storage and derive actionable insights, there should be communication across devices, processes, networks, data centers and the controlling applications.
The Internet of Things (IoT) encompasses an ecosystem of technologies, ranging from the manufacturers of the sensors and microchips that drive connected devices to the wireless radio manufacturers that connect these devices to the internet, to the software services organizations that fuse everything together.

Some of the new digital opportunities for industries are:

  • Better insights and more customer engagement for financial industry

  • Customized shopping experience by e-commerce industries using real-time analytics and purchase patterns

  • Real-time location tracking, asset management for transport and logistic companies

  • Track machinery life-cycle and maintenance

We leverage industry best practices, tools and frameworks to develop and maintain custom software solutions.
We help migrate your solution to a secured cloud platform and also integrate your IoT based systems with data management services, infrastructure set up, and support & maintenance.

Tools and Technologies
  • RFID technology

  • NFC

  • Embedded Sensors

  • Bluetooth low energy (BLE)

  • Optical tags | QR codes

  • GPS location chips | Programmable Logic Chips (PLCs)

Insights into the Internet of Things, including sensors, gateways, connectivity, platforms, analytics, security.
The Internet of Things (IoT) emerging technologies are enabling the effective integration of the human-machine interface via voice, motion, and other approaches, and augmented reality delivering digital insight into real-world interactions.

  • Sensor & IoT networks

  • IoT analytics

  • IoT security

  • Wearables

  • Drones

  • The importance and evolution of platforms within the IoT ecosystem

  • The evolution of the IoT ecosystem for particular segments, such as Retail Optimization, Connected Home, Connected Vehicles, Healthcare and key industry sectors including Insurance, Manufacturing, Automotive, Government, Utilities.

  • Emerging IoT, such as Edge Computing, Data Monetization and New Business Models

  • IoT Channel and Partners Ecosystem

Insights on consumer attitudes toward and usage of internet-enabled products and services, such as home automation, monitoring, security, connected entertainment, health and wellness, transportation, retail, leisure and hospitality experiences.

  • Evolution of connectivity, standards, and issues with interoperability

  • Insight into vendor strategies, partnerships, channels, and future developments.

Research ranges from medical devices and commodity infotainment items like headphones and smart watches, fitness trackers, , smart clothing, smart eyewear (including AR and VR), and their application across industries such as, healthcare, fitness & wellness, professional sports, infotainment, military and fashion.

... Source: IDTechEx

Insights into infrastructure -networking, server, and storage- requirements -(Datacenters and storage platforms, Edge and IoT network connectivity, wireless access technologies, platforms, gateways, aggregation points, agents, and sensors) for IoT implementations across industries including healthcare, oil and gas, government, automotive, manufacturing, life sciences, and utilities.

IoT data capture, integration, cleansing, management, analytics, and presentation.

Insights into IoT access control, security and privacy consumer and corporate requirements across automotive electronics and technologies, medical devices, consumer technologies and wearables, and other emerging IoT technologies.

Insights into market trends and key challenges and opportunities as well as consumer and commercial attitudes about drone features and usage models, including the impact of AR/VR on the drone market.

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Industry 4.0: the digital upgrading and networking of the machines and products.

Industry 4.0 promises enormous potential. With the close connection of the physical and virtual world, companies want to further automate and accelerate their processes, with enhanced efficiency.

Robotic Process Automation

Harness the power of robotic process automation to increase process speed and accuracy and transform operations.
Robotic Process Automation (RPA) Intelligent machines and bots have grown into replacing inefficient and error-prone human activities by enabling intelligent automation.
High performing organizations are making the most of Robotic Process Automation to accelerate business transformation, driving productivity and customer experience.

The quest for productivity and efficiency gains, by automating many business processes that have historically been manually executed, has given rise to robotics automation.

Research into market trends and use cases in relation to the deployment of commercial service robots, including connectivity, sensors, and vision and motion control, as well as the use of AI to improve cognitive learning, and machine learning in advancing collaborative robotics, and enhancing human-robot interaction.

Market trends and key challenges and opportunities, as well as consumer attitudes about consumer robotics features, pricing and usage patterns.

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Augmented and Virtual Reality

What are the opportunities offered by the development of AR/VR technologies, drone and robotics in the consumer and business spaces.
Insights into the emerging market around augmented reality (AR) and virtual reality (VR) hardware, software, and services, as well as impact on bordering markets such as smartphones, tablets, PCs, game consoles, and wearables.
Insights on vendors, technology, market opportunity, and trend analysis.

Augmented Reality (AR) applications has increased in industries such as Retail, Travel and Fashion.

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  • Virtual reality configuration helps the product to be experienced on an emotional level and potential buyers to immerse themselves in a whole new world.

  • Digital signage Touch walls and Digital shops are innovative approaches where brand and product experiences, news and messages combined with special offers are displayed on large touchscreens, allowing viewers to become immersed.

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Blockchain

Blockchain technology will play a key role in reducing fraud and improving purchasing and operations across a wide range of sectors, including financial services, insurance, logistics and manufacturing supply chains through to block chains capable of.
Our research insights empower business executives in making informed decisions related to decentralized applications that utilize blockchain technology, tools and frameworks.

The Impact of Blockchain

Blockchain, or distributed ledger technology, has the potential to disrupt both business processes and key industries.

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Insights into the impact of blockchain, distributed ledger technology (DLT), and smart contract applications.

Our research will also help technology and service providers develop new solutions, sales messaging, and sales strategies to grow revenue and increase market share.

  • Potential use cases for blockchain

  • Which industries are adopting Blockchain faster

  • How will Blockchain disrupt existing approaches in the security, cloud and infrastructure markets

  • Blockchain platforms - Ethereum, Hyperledger, and R3

  • Tokenization and smart contracts to grow revenue, lower costs, and improve liquidity

  • Blockchain for supply chains and track and trace

  • Using distributed ledgers to improve the transfer of value and information

  • DLT in trade finance and supply chain financing

  • Blockchain as a service (BaaS)

  • Blockchain registries: Tracking ownership and identities

  • Regulation impact on Blockchain adoption

  • Regulatory and compliance implications of implementing Blockchain solutions - DLT and smart contract innovation

Blockchain solution implementation: Blockchain framework and tools integration - including Hyperledger, Ethereum, Ripple, Solidify and Chain - coding, testing, infrastructure setup, integration with other enterprise IT systems and support.

Our blockchain service offerings include:
  • Proof of concept

  • Solution build & implementation

  • Smart contracts & e-wallets

  • Integration services & Testing

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3D and Production Print | Imaging and Document Solutions

3D printing is driving R&D investment, by prototyping across a number of sectors where it can lower the cost of development.

Research covering key imaging and printing technologies, smart scan/print devices and managed workflow services to the impact and market opportunities of 3D printing - market trends, hardware, materials, and services providers.

  • 3D printing market trends, hardware, materials, and services providers

  • Top industries for success in 3D printing

  • The size and dynamics of 3D, Industrial and Production Print, Imaging and Document Solutions

  • The impact of 3D printers in core vertical markets such as manufacturing, healthcare, and education

  • Print Consumables - toner and ink cartridges

Print Production market segments with the greatest growth potential:

  • Cut-Sheet Production

  • Continuous Feed Printer Market

  • Textile and garment printing

  • Large Format printing

  • Label printing and packaging

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Cybersecurity

In today’s digital economy, it is essential that companies protect customer data and proprietary secrets. Failure to do so can damage a company’s brand, with adverse impact on revenues and profitability.
Cybersecurity has therefore become a critical business function, as the frequency of cyberattacks is to accelerate over the coming years, and therefore it is vital that senior executives have a thorough understanding of the inherent risks and implications, as well as being able to factor security considerations into any software selection decision.