With artificial intelligence (AI), machines can learn from data and mimic cognitive human functions. The impact of this technology to the business is huge and AI is beginning to play a pivotal role in business transformations. However, many organizations often don’t know where to start, which capability has to be transformed first, is the most critical, is the best to beat the competition. They also don’t have a clear visibility into how a process or how the IT landscape should change to support artificial intelligence.
A year in, and the General Data Protection Regulation is really starting to gather some momentum, with British Airways and Marriott International on the receiving end of a combined £283m of fines for data breaches. On the one hand this is clearly good news for personal data privacy, but with costs likely to be passed on to the consumer in one way or another it should not be heralded as something to be celebrated. In addition, the fines will act as a reminder for other organisations keen not to suffer the same penalties.
Business architecture is generating a lot of interest and attention recently, and for good reason as it helps companies bridge the strategy through execution gap by creating concise views and definitions of the business. It also allows IT to focus on best practice technology without having to “guess” what the business means, thereby enabling the company to focus on driving transformational change.
Today there are many ways to harness the power of data. You may be hearing the terms: Big Data, IoT, Data Analytics, Data Science, Machine Learning, Artificial Intelligence, Data Mining, Data Management and think where do I start?