• 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;

• 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.

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.

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

• 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.

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

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