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Key Trends that Accelerate the Pace of Digital Transformation
Analytics has revolutionized decision-making by offering data and insights that assist firms in identifying challenges, opportunities, and solutions. The tremendous amount of data accessible for analysis, especially real-time data, means organizations which does not make use of it are at a major disadvantage.
FREMONT, CA: As businesses strive to adjust to the new normal, many will turn to technology for assistance. Digital transformation can provide businesses with a competitive advantage, but investing intelligently requires staying on top of advances and trends. To assist, here are some of the key digital transformation trends that are keeping boardrooms energized.
Analytics has revolutionized decision-making by offering data and insights that assist firms in identifying challenges, opportunities, and solutions. The tremendous amount of data accessible for analysis, especially real-time data, means organizations which does not make use of it are at a major disadvantage. It has applications in all business sectors, including procurement, operations, logistics, marketing, security, communications, finance, and human resources. It is growing increasingly popular as sophisticated analytics tools become more easily deployable on the cloud.
While most consumers think of 5G as a way to better smartphone connections and speed up downloads, the rollout of the 5G infrastructure will have a much broader impact that many organizations will benefit from. It will speed the development of IoT infrastructures such as smart cities, intelligent transportation networks, smart vehicles, and smart industry, for example. Simultaneously, one will see a broader range of linked devices, making it easier for businesses to capitalize on the IoT and the valuable data it creates.
AI and Machine Learning
AI and machine learning are great data analytics partners, allowing businesses to do much more with their data. They accelerate analysis, automate large-scale processing in the cloud, and eliminate the bottleneck created by human analysts. They also learn and adapt from past analyses, presenting data in user-friendly, easily digestible graphical interfaces that non-IT personnel can understand.
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