The introduction of RPA has been both a blessing and, in some instances, a potential curse to the workforce. A workforce that is both engaged and happy allows businesses to reap the benefits of the transformative potential of RPA. The study also revealed. On the plus side, RPA restructures and automates existing work, enabling employees to have more human interactions, and helps people focus on more meaningful, strategic tasks. However, badly managed RPA efforts add to existing fears in the workplace, stirring discontent and dissatisfaction that could negatively impact the bottom line.
Few organisations realise that almost 80% of what they store is 'dark data', or data they do not even know exists. Dark data is all of the information collected and stored by a digitalised organisation that is not maintained or monitored. To effectively manage and control data, organisations should set up a single location where all its data assets can be discovered, classified and categorised. This is all part of proper data management, which is not only important for compliance and security, it can also lead to better business decisions.
Data initiatives often take too long to get off the ground, which can cause businesses to give up or change tack. In addition, the promise of value of data warehousing projects is often lost due to other factors, including the fact that planning for the required hardware based on the estimated load and usage, is often a 'thumb-suck' exercise and requires a significant upfront capital investment. Finding and retaining the appropriate database administration skills to guarantee that data is readily available when needed, and indexed accordingly, is challenging and expensive.
Today’s IT landscape is dominated by cloud, edge computing, IoT, AI and other disruptive technologies, and the datacentre remains at the heart of the organisation. Its role is key to delivering IT services and providing storage and networking to an increasing number of networked devices, users, and business processes. The explosions of data, as well as businesses embracing digital transformation, are all factors that play a part in not only storage strategies, but also the evolution of the datacentre.
AI will make superhuman capabilities available that we will harness to take our understanding of the universe around us and the evolution of human society to the next level. Businesses that utilise AI will outperform others because they will be able to accomplish things that those without AI cannot. At a strategic level, businesses need AI to help make sense of this new world where the amount of data being generated is overwhelming and we don’t have the capabilities to process it manually.
Facial recognition isn’t as basic as taking two pictures and seeing if they match. Facial recognition algorithms create a mathematical representation of a human face called a face template by identifying landmarks on the face such as the nose and eyes and calculating the distance between those landmarks. It is, at its basic form, computing geometry. These equations represent the face which is then compared to other mathematical representations to find a match or a similarity score.