There’s a definite buzz around blockchain these days. The success of cryptocurrencies like bitcoin and experimentation with additional uses, such as providing assistance to Syrian refugees and preventing voter fraud, have made companies take note of the new technology. As they are assessing its potential uses within their own organizations, a lot of questions are arising. What’s the current state of blockchain, and what do we need to know right now?
The debate over digital transformation is really a battle of definitions. While both sides agree that going digital is critical to the survival of a business, there seems to be a difference of opinion of what “digital transformation” means. One side argues that it’s about advancing the customer experience with technology, while the other believes process automation is the key.
Businesses are running on such an infinite loop of evolution that it’s easy to forget that there are things that stand the test of time. Customers may adopt new ways to interact with brands, and employees may embrace the convenience and speed of digital technology in everyday work. But one thing that will never change is the fundamental need for understanding and connecting with customers.
Digital transformation. It’s at the top of every boardroom agenda, prompting much debate over data management, analytics-driven decision-making, personalized user experiences, and automation. Yet for most executives, the primary purpose and end goal of these initiatives remain, at best, fuzzy.
Technology innovation has been a source of inspired thinking for generations. From movie screens and books, to the innovator’s sketch pad, the dream of a life that’s automated, informed, and enjoyable has guided inventions throughout human history.
Digital transformation. It’s an interesting term that pops up in nearly every business conversation, but few people truly understand what it is. The literal definition of “digital transformation” implies a permanent shift from one state to another–an attainable, concrete, and final destination–achieved through the use of technology.
Just shy of 60 years old, machine learning has never looked so good. Exponential data growth, advanced algorithms, and powerful computer processing are enabling the technology to fulfill its ultimate destiny: Identifying profitable opportunities and avoiding unknown risks by evaluating massive volumes of complex data and delivering accurate results in real time.
However, during the Americas’ SAP Users’ Group (ASUG) webcast, “Guide to the Machine Learning Galaxy: How Your ERP Knowledge Enables Value-Driven Intelligent Processes,” Darwin Deano,..
Year after year, data breaches become messier, bigger, and more dangerous — and no business or person is immune from cybersecurity attacks. In fact, any form of cyber crime can impact over half of the world’s population. That’s roughly 3.8 billion people, up from 2 billion in 2015 — and that attack population will grow to 75 percent as another 2.2 billion people gain access to the internet by 2022.
Ill-considered technology investments are similar to a Trojan horse. New technology is integrated with the IT infrastructure with fanfare and welcomed adoption. Then, over time, that shiny beacon of business improvement and future success becomes a threat — or worse, an obstacle — to achieving the ultimate vision.
After the successful Biz.ONE Conference last week in southern California, I will be following up with a few posts on key takeaways from the event.
As you would expect, there were many of the senior folks from SAP in attendance and delivering sessions at the conference. Within these sessions and in conversations throughout the event, there were three core messages that I took away: