No matter what and/or who you employ to help protect your organization and it’s data from the pirates you have to do something. Otherwise the odds are against your companies survival. It’s that important. By Dell Technologies – The Dell Technologies … Continue reading →
By Pascal Bornet – Applications of computer vision in a physical environment include robots recognizing objects and self-driving cars interpreting signs and road markings. In a digital environment, computer vision is used for intelligent character recognition (ICR), which can digitize … Continue reading →
While there’s nothing wrong with being strategic, thinking on too large of a scale is a common pitfall of overly ambitious automation projects. Taking on too much strategic work too early runs a high risk that the organization doesn’t see … Continue reading →
According to Gartner Research, Robotic process automation (RPA) has become one of the fastest growing segments of the software industry as a result of the technology’s ability to mimic tasks humans would normally be required to perform. Modern RPA applications … Continue reading →
In my experience one of key factors in a successful implementation is to roll out in phases. Your shiny, new ECM system has the potential to change many parts of your business in dramatic ways. Everyone understands the benefits. It … Continue reading →
Microsoft is set to be the only firm among the enterprise tech giants investing in robotic process automation (RPA) tools to make a significant impact, a report from Forrester claims. The RPA market is set to be worth $2.9bn by … Continue reading →
AI as a Service (AAAS), in some ways the RPA unattended bots are already there aren’t they? By Bhaskar Chakravorti – Google CEO Sundar Pichai has suggested—more than once—that artificial intelligence (AI) will affect humanity’s development more profoundly than humanity’s harnessing of … Continue reading →
User involvement in any project that will directly affect them is critical and too often overlooked. This limited or complete lack of involvement leads to poor user adoption and almost always project failure. By Anirudh Menon – Agile business intelligence … Continue reading →
Artificial intelligence (AI) use has blossomed. The AI market was valued at $27.3 billion in 2019 and is projected to grow to $266.92 billion by 2026. Associated AI applications have also grown. For example, the market for facial recognition technology, much of … Continue reading →