Recently, I read why companies are failing in their efforts to become data-driven in the Harvard Business Review. It said that 72% of Chief Data Officers believe their organization doesn't have a data culture and 92.5% of them blame their people. But I think they’re wrong. The real issue is that people aren’t using the tools that their CDOs have bought for them. That means the problem isn’t with the users, it’s with the technology they’ve been given.
I recently had the pleasure of attending the Center for Business Analytics Career Panel event at Villanova University where myself and other analytics professionals sat on a panel to discuss the future of analytics with the students.
Back in the 60s Bod Dylan sang “The Times They Are a-Changin” which has become a famous and lasting anthem of change. Bowie wrote ‘Changes’ in the 70s but it’s the “Winds of Change” from the Scorpions that plays in my head when I hear the phrase - Change is the only constant, and nowhere is this truer than in the world of tech.
By now, you know that data is the lifeblood of digital transformation. But the true digital leaders have taken a step beyond by starting to understand the need to preserve this lifeblood with people, process and tools. That’s why data quality is so important in its ability to take control of the health of your data assets from diagnostic to treatment and monitoring with whistleblowers.
If you’re new to SEO, don’t get overwhelmed by long lists of Google’s ranking factors. Start small and make incremental changes using these experts’ tips.
Let me start by thanking all those who read the first part of our blog series on converting legacy ETL to modern ETL! Before I begin the second part of this three-blog series, let’s recap the three key aspects under consideration for converting from legacy ETL to modern ETL.
Self-driving vehicles, weather forecasting drones, fulfilment robots and robotic surgery are already transforming the lives of millions of people. It is deep learning computer vision (DL CV) — visual sensors coupled with the ability to make instantaneous, human-like sense out of streaming video — that make these applications possible. One might think that acute focus on DL CV applications would be sufficient to yield the necessary breakthroughs and successful industry applications.
