By 2024 AI services will be deeply engrained in key business processes. As we increasingly rely on AI for essential services, organisations will need to take a holistic view to ensure they design, build and operate high quality AI solutions. That holistic view needs to take into account the social and ethical elements that we now face with AI.

Today, we witness the emergence of new forms of computing, such as Edge and Fog, which make compute resources break the barriers of the data centre, and which bring computing and data resources down to earth, in locations spread together with the IoT installations. These are already recognized as beneficial to avoid drawbacks of large data movements, latency aspects privacy data regulations. These new Cloud forms provide better performance in IoT scenarios and enable wider diversity of application and services. There remains in the market significant uncertainty with regards to what is Edge computing and specifically which are the features and capabilities it offers.

Enterprises are beginning to recognise the role of trust and are becoming inherently more open to collaborating and creating touch points with not only their own personal value chains, but their end-consumers, regulators and even their own competitors. This trend is positioned to steadily increase over the coming decade with 18 percent of organizations already participating in a consortium, 45 percent considering or positioning themselves to join one, and 14 percent examining forming one. These consortiums will look to address the current state and roadmap for trust landscapes across distrustful parties.

As we move towards 2024 cyber theft, sabotage or espionage will continue to be in the top five risks on businesses and governments, according to today’s analysis topped only by environmental risks, such as extreme weather and natural disasters. Assuming that AI will have the outlined effect on cyber security, there will be a drastic change in cyber risk with new and unforeseen threats emerging, affecting both the impact and likelihood of successful attacks. Therefore, this will require changes in strategy, skills, resources, processes and technology for cyber defence with a strong focus on defending against AI based attacks.

In the future we will have a hybrid landscape in computing, where quantum and classical computers will interact seamlessly. This is necessary because real-world applications require a combination of classical and quantum hardware, appropriately combined in a single platform. The challenge of integrating our classical computing legacy into this new hybrid computing world should not be underestimated. These challenges will be partially resolved by smart, hybrid (cloud based) platforms, but we will need to avoid being limited by traditional ways of thinking about computing.

Robotics is a vast technology domain with a long history, mainly related to factory automation. Nevertheless, it has gained incredible momentum over recent years, catalyzed in part by disruptive innovations within many other related hardware and software technologies. More efficient compute power, ubiquitous connectivity, smarter / more precise sensors, and smart materials, combined with evolving AI and machine learning techniques, are all helping to bring robotics to a whole new level.

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