Web 3.0 is accelerating the workforce in automation and streamlining workflows to boost productivity, allowing more focus on high value output and less on manual input–it is a new phase of the internet that aims to make the web more intelligent, decentralized, and connected through new technologies and standards. With targeted training on tools of the future, executive assistants can help lead their offices into the digital world.
While there is a small number of natural language processing [NLP] technologies created in 2023, there will be a rise in different models as the technology advances. AI and immersive technologies allow the workforce to automate routine tasks, leading to the assumption that jobs will be lost. However, by understanding how to leverage AI, the technology is more likely to assist the executive assistant rather than replace the role entirely. For example, AI can help executive assistants to prioritize tasks, provide insights into emails, dining reservations, travel planning and more–allowing focussed time on higher-level tasks that require human skills that NLP’s can’t replace such as issue resolution and executive decision-making. Here’s a list of the popular and influential AI models to start learning:
- Generative Pre-trained Transformer 3: Developed by OpenAI, GPT-3 is a state-of-the-art language processing model that can generate human-like text, complete tasks like translation and summarization, and even answer questions.
- Bidirectional Encoder Representations from Transformers: BERT is a language processing model developed by Google that can be used for a variety of natural language processing tasks, such as sentiment analysis and question answering.
- Residual Network: ResNet is a deep learning model developed by Microsoft that has achieved excellent performance in image recognition tasks.
- Transformer: The Transformer model is a neural network architecture that has been widely used in natural language processing and can be used for machine translation and text summarization.
- You Only Look Once: YOLO is a real-time object detection system that uses deep learning algorithms to detect objects in images and videos.
Other Web 3.0 technologies to add to the learning list include blockchain, virtual reality, and augmented reality technologies. Augmented Reality [AR] technologies refer to the use of computer-generated images, sounds, and other sensory inputs to enhance the real-world environment, allowing users to interact with digital content in a more immersive way. Some examples of augmented reality technology include:
- AR apps that allow users to point their smartphone or tablet at an object and see additional information or animations overlaid on top of it.
- AR games that overlay digital characters or objects onto the real-world environment, allowing players to interact with them in real-time.
- AR glasses or headsets that provide a more immersive experience by overlaying digital content directly onto the user’s field of vision.
- AR marketing campaigns that use augmented reality to create interactive experiences for customers, such as virtual try-ons or product demos.
In addition to the above technologies, the executive assistant should keep pace with the trends as they unfold in the wearable device advancements. This article published by HBR, shares research on neuro tech and wearable devices that measure electrical activity in the brain or at muscle junctions throughout the body. Can’t help but wonder in the not too distant future if neural interfaces will eventually replace peripheral devices.
Keeping pace with the advances in technology paves the way for new capabilities and tools to be introduced and will allow for greater autonomy in the workforce. By taking steps to be ready and understand how these new tools can optimize business operations, the executive assistant will become future-ready in the Web 3.0 immersive world.
