Strategic advice to leverage new technologies
Technology is at the heart of nearly every enterprise, enabling new business models and strategies, and serving as the catalyst to industry convergence. Leveraging the right technology can improve business outcomes, providing intelligence and insights that help you make more informed and accurate decisions. From finding patterns in data through data science, to curating relevant insights with data analytics, to the predictive abilities and innumerable applications of AI, to solving challenging business problems with ML, NLP, and knowledge graphs, technology has brought decision-making to a more intelligent level. Keep pace with the technology trends, opportunities, applications, and real-world use cases that will move your organization closer to its transformation and business goals.
Insight
In my last Advisor ("Predictability, Reliability, Serendipity"), I highlighted the role of serendipity in value realization, as follows:
Advisor
CEP at a Glance
Real-time Complex Event Processing (CEP) has been around for more than a decade. Traditional (legacy) CEP systems were constrained in scalability and performance and lacked real-time ability. Today, the business case for CEP is becoming more evident due to the real-time impact of various social channels, capital market volatility, increased threat through network attacks, and the emergence of decision making "on the fly" based on raw business intelligence.
I recently had the opportunity to hear Dr. Paul Roehrig, assistant VP of corporate strategy for the 140,000-person consulting firm Cognizant, talk about the coming changes in the workforce. Underpinning these changes, importantly, are high and, in parts of Europe, alarmingly high levels of unemployment.
In my recent Advisor, "Process as a Service," I described the agile process as a reliable process all too often subject to unrealistic expectation of predictability, as follows:
A friend whose company provides data recovery services mentioned to me that his firm had been hired by a company to delete proprietary information from the mobile phone of an employee it had recently fired. In other words, he was going to have to go through and remove company information from the employee's personal device.
