As business journey toward digital transformation (DT), adapting digital ops to streamline digital business, from leverage robotic process automation (RPA) to machine learning (ML) and artificial intelligence (AI) – have impacted the way that companies do business. As a digital-era executive and management, understanding of these capabilities is no longer an option. Since it impacts on the new way for working (eliminate traditional work and invent new class of work), new way for how market is working (from manufacturer, channel, competition to buyer).
In this post we focus on three major areas will Impact of DigitalOps for digital business transformation.
Data: The influx of data and the ability to process, analyze, and mobilize that information will transform enterprise operations. The increase in data comes from a variety of areas, including customer relationship management (CRM) and the Internet of Things (IoT). Using this information, operations will better understand and be able to predict customer behaviors. With the massive amounts of data can be handled by modern big data generation of technology, artificial intelligence (AI) like deep learning (DL) contribute for the better business intelligence (BI) and better educate decision making for what to do next. It just like how the Google Maps alike and navigation data and route recommendations, it eliminates the need for experience drivers and make ordinary driver can drive into their destination effortlessly. The same kind of transformation will be applied to the CRM and customer data x buying data.
Cloud: In partnership with processing all of this data is the accessibility of the cloud. Public cloud providers are driving down cloud costs, making cloud services accessible to any size business for any task. The customer experience is more fully optimized when companies can offer the latest updates in technology. New generation of cloud computing, from public, private or hybrid, hyperconverged infrastructure (HCI) – virtualized computing- virtual SAN, virtualized networking and technology alike make endpoint and edge computing processing can be further moving toward cloud backend, for allow employees across global team-working with just a web browser – access from any place, any time. Global company can be further distributed employee across global region more efficiency (and eliminate duplicate facility and manpower across region or country).
Artificial intelligence (AI): AI serves to analyze processes and make recommendations about what can be automated. That automation, taken over by AI processors, will free up employees for more complex tasks and a focus on the future vision for their roles and departments. The modern AI with the big data fuel the machine learning (ML), deep learning (DL) and transfer learning help eliminate traditional work and job, empower modern knowledge worker to make the digital transformation (DT) initiative and directives that assist in modern enterprise digital business transformation.
E-SPIN in the business of enterprise technology consultancy, from provision, implementing to maintenance for enterprise and government clients. Feel free to contact E-SPIN for any project and operation requirement for your digital transformation initiative and directives.