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CAIL Innovation Blog

Strategic Technologies  – to meaningfully improve outcomes

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To expand business opportunities, increase relevance and revenue, make innovation more rewarding, disrupt traditional business models, prudently manage the risks associated with change, and address other important challenges facing enterprise, the top strategic technologies are –

1.  Agentic AI

Agentic AI systems autonomously plan and take actions to meet user-defined goals. Agentic AI offers the promise of a virtual workforce that can offload and augment human work that by 2028, it is estimated at least 15 % of day-to-day work decisions will be made autonomously through agentic AI – up from 0 % in 2024. The goal-driven capabilities of this technology will deliver more adaptable software systems, capable of completing a wide variety of tasks. Agentic AI has the potential to meaningfully increase productivity across the organization, make innovation more rewarding, etc.

2.  Spatial Computing

Spatial computing eXtends Reality (XR) by digitally enhancing the physical world with technologies such as Augmented Reality (AR) and Virtual Reality (VR). This is the next level of interaction between physical and virtual experiences. The use of spatial computing will increase organizations’ effectiveness with immersive experiences that dramatically improve and expedite learning, training, workflows, enhanced collaboration, etc.  Because of the significant benefits, it is expected that Spatial Computing will grow from $110 billion in 2023. to $1.7 trillion in 2033.

3.  Hybrid Computing

New computing paradigms keep popping up including central processing units, graphic processing units, edge, application-specific integrated circuits, neuromorphic, and classical quantum, optical computing paradigms. Hybrid computing combines different compute, storage and network mechanisms to solve computational problems. This form of computing better enables organizations to explore and solve problems with the technology most suited to the business needs or technical considerations – such as AI, Spatial Computing, etc. Fundamentally, Hybrid Computing will be used to create highly efficient transformative innovation environments that perform more effectively and efficiently than conventional environments.

4.  AI Governance Platforms

AI governance platforms that enable organizations to manage the legal, ethical and operational performance of their AI systems. These technology solutions have the capability to create, manage and enforce policies for responsible AI use, explain how AI systems work and provide transparency to build trust and accountability. The prediction is that by 2028, organizations that implement comprehensive AI governance platforms will experience 40 % fewer AI-related ethical incidents compared to those without such systems.

5.  Disinformation Security

Disinformation security is an emerging category of technology that systematically discerns trust and aims to provide methodological systems for ensuring integrity, assessing authenticity, preventing impersonation and tracking the spread of harmful information. By 2028, it is estimated that 50 % of enterprises will begin adopting products, services or features designed specifically to address disinformation security use cases –  up from less than 5 % today. This growth in demand is due to the need to address increasing compliance requirements, provide more trusted systems,  the availability of advanced AI and machine learning tools, to avoid issues caused by nefarious entities that target enterprises with inappropriate or disinformation resulting issues with Customers, brand damage, etc.

6.  Postquantum Cryptography

Postquantum cryptography provides data protection that is resistant to quantum computing decryption risks. As quantum computing developments have progressed over the last several years, it is expected there will be an end to several types of conventional cryptography that is widely used today. It is not easy to switch cryptography methods so organizations must have a longer lead time to ready themselves for robust protection of anything sensitive or confidential. By 2029 it is expected that advances in quantum computing will make most of the current, conventional asymmetric cryptography will be ineffective or unsafe to use.

7.  Ambient Invisible Intelligence

Ambient invisible intelligence is enabled by ultra-low cost, small smart tags and sensors which will deliver large-scale affordable tracking and sensing. In the long term, ambient invisible intelligence will enable a deeper integration of sensing and intelligence into everyday life. Through 2027, early examples of ambient invisible intelligence will focus on solving immediate problems, such as retail stock checking or perishable goods logistics, by enabling low-cost, real-time tracking and sensing of items to improve visibility and efficiency.

8.  Energy-Efficient Computing

IT impacts sustainability in many ways – with the need to reduce the carbon footprint of computing – especially for compute-intensive applications such as AI training, simulation, optimization and media rendering, etc. that consume the most energy.   It is expected that starting in the late 2020s, several new compute technologies including optical, neuromorphic and novel accelerators, will emerge for special purpose tasks, such as AI and optimization –  which will use significantly less energy.

9.  Polyfunctional Robots

Polyfunctional Robots have the capability to do more than one task and are replacing task-specific robots that are custom designed to repeatedly perform a single task. The functionality of these new robots improve efficiency and provide a faster ROI since Polyfunctional Robots are designed to operate in a world with humans – which will make for fast deployment and easy scalability.  Because of this, it is expected that by 2030, 80 % of humans will engage with smart robots on a daily basis, up from less than 10 % today.

10.  Neurological Enhancement

Neurological Enhancement improves human cognitive abilities using technologies that read and decode brain activity. This technology reads a person’s brain by using unidirectional brain-machine interfaces or Bidirectional Brain-Machine Interfaces (BBMIs). This has huge potential in three main areas – human upskilling as well as next-generation marketing and performance. An example of these products enhancing cognitive abilities is enabling brands to know what consumers are thinking and feeling – and enhance human neural capabilities to optimize outcomes. By 2030, it is estimated that 30 % of knowledge workers will be enhanced by, and dependent on, technologies such as BBMIs (both employer-and-self-funded) to stay relevant with the rise of AI in the workplace – up from less than 1% in 2024.

Oct 29, 2024    – Gartner / CAIL  Innovation commentary      info@cail.com      www.cail.com      905-940-900

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