The technology industry is currently at the epicenter of the transformation of other industries, being central to the fourth industrial revolution, the source of major changes in the economic and social sphere. The exponential growth of technological capabilities and their lower cost, increased connectivity, universal access to information and the development of Artificial Intelligence, among other factors, have made technology the engine of profound changes. This is leading to the emergence of new business models that take better advantage of installed capacity, are more efficient and encourage open innovation.
The rapid evolution of technology is speeding up the digital transformation process, giving rise to new concepts such as “hyper-automation” (automation tools combined with Machine Learning), “multi-experience” (changed user experience based on augmented and mixed virtual reality), “data democratization” (expert system development and knowledge with professional support), “augmented human beings” (with devices that improve cognitive skills), the “ethical approach” to AI, “distributed cloud computing” (moving from a centralized cloud model to a geographically distributed one), “edge computing”( supporting data processing and content delivery near the data sources), “autonomous and collaborative objects ”(based on intensive use of AI or the consolidation of Blockchain as a platform for transaction optimization and asset tracking).
It is key that companies in the technology sector are able to adapt their organizations by directing talent management towards innovation and addressing the risks in the new landscape (e.g. improving cybersecurity), thus facilitating solutions that will make it possible for other industries to generate value through their own digital transformation.
Our practice
Management Solutions' value proposition, leveraged on expert knowledge of technology, adapts to the particularities of any sector. We help entities to adapt to the new digital ecosystem, using the cloud in order to capture efficiencies, supporting the innovation of their service offering, also improving their time to market, managing and mitigating technological risks, extracting value from the Big Data and adapting its processes by incorporating Artificial Intelligence.
