As the adoption of digital twin increases, the management of several devices and their business owners will only going to rise. This is why a future-ready digital twin strategy is necessary.
Employing deep learning in manufacturing enables companies to reduce costs incurred on hardware and software, optimize manufacturing machines, and accurately predict sales statistics based on previous company records.
The new made-for-each-other couple - chatbots and blockchain - help organizations by assessing whether their bot-to-bot interactions are legit and flagging those conversations that aren’t.
The Internet of Things (IoT) is an ecosystem of ever-increasing complexity; it’s the next wave of innovation that will humanize every object in our life. IoT is bringing more and more devices (things) into the digital fold every day, which will likely make IoT a multi-trillion dollars’ industry in the near future. To understand the scale of interest in the internet of things (IoT) just check how many conferences, articles, and studies conducted about IoT recently, including a recent well written article about IoT future by SAP listing 21 experts insights about IoT future. This interest has hit fever pitch point last year as many companies see big opportunity and believe that IoT holds the promise to expand and improve businesses processes and accelerate growth.
IoT-connected devices generate a vast amount of data. The biggest impact of the internet of things (IoT) for businesses in the future will be how to manage big data. The future will see companies being forced to upgrade their processes, technologies, and security to align with this need.
Blockchain, the "distributed ledger" technology, has emerged as an object of intense interest in the tech industry and beyond. Blockchain technology offers a way of recording transactions or any digital interaction in a way that is designed to be secure, transparent, highly resistant to outages, auditable, and efficient; as such, it carries the possibility of disrupting industries and enabling new business models. The technology is young and changing very rapidly; widespread commercialization is still a few years off. Nonetheless, to avoid disruptive surprises or missed opportunities, strategists, planners, and decision makers across industries and business functions should pay heed now and begin to investigate applications of the technology.
Despite the promise of a perfect lifestyle, ‘smart’ cities will end up becoming a sci-fi fantasy if the challenges are not resolved at the earliest.