Tech of the Week: Chatbots & Conversational Marketing
AI-Powered Chatbots for Messenger, Whatsapp & Instagram. Reduce the strain on your workforce while increasing your sales & improving your customer experience through the development, management and ongoing optimisation of AI-powered Chatbots for Facebook Messenger, Instagram & Whatsapp.
Tech of the Week: AI for large-volume nutritional value label recognition
Robotic Process Automation (RPA) involves the building, deployment, and management of software robots with the aim of emulating human interactions with software and digital systems. Such robots can perform a variety of defined actions such as completing the correct keystrokes, understanding screen elements, and more. The biggest benefit of RPA is that, unlike human beings, software robots do not need breaks, which results in increased efficiency and productivity.
The rapid development of Web 3.0
The recent developments of web 3.0 have highlighted its various benefits. Web 3.0 calls for a decentralised version of the web. With web 3.0’s rapid advancements, business strategies will likewise need to shift and evolve.
Federated Learning is necessary to avoid bias in Generative AI
As artificial intelligence becomes more integrated into our daily lives, it's important to consider the impact it has on our society. To avoid discrimination and bias, the most promising solution is federated learning, which uses a decentralized network of devices to process data, rather than relying on a central database, data warehouse or data lake. This approach helps to reduce the risk of biased results and makes it possible for a diverse group of people to contribute and help address potential biases. Join us in exploring this exciting area and how it can help shape a better future for all of us.
Leveraging digital to drive business value
The state of productivity in this digital era has been the subject of numerous discussions in recent years. But can technology provide the boost in productivity and economic growth?
The impact of STEM education on society
To drive innovation in STEM education, a multi-faceted approach involving educators and students is necessary from an early age. This includes hands-on learning experiences, active learning opportunities, and fostering a growth mindset to effectively teach STEM subjects.
Making neural networks available for energy consumption prediction
We created LSTEnergy, a Long-Term-Short-Memory energy forecasting model built using Blossom Sky and real-world smart meter data acquired in 2020. It is a time-series forecasting model that predicts future events using time-based previous data and is typically performed once every week per smart meter. It works by training it on a collection of past data and then attempting to predict future values using the 'smartmeter' dataset. The model is trained to learn a function that transfers a series of prior observations as input to an output observation, and is used to optimize particular processes with AI. Long Short-Term Memory (LSTM) is a form of recurrent neural network (RNN) that can learn long-term dependencies.