By Kathryn Hume, Mar 15, 2018
In November, I gave the opening keynote at an event about the future of commerce at the Rotman School of Management in Toronto, where I shared four insights outlined in this blog and also heard a great anecdote from an audience member.
By Geoffrey Moore, Mar 13, 2018
Everyone gets that data is the new oil in the digital economy, but not everyone gets that there is a critical difference between data as records—data in databases—and data as signals—data from log files, sensors, social media posts, and the like. Let me explain.
By Bill Franks, Mar 08, 2018
Within a two- to three-year span, Artificial Intelligence (AI) has gone from relative obscurity to an extreme level of industry attention and media coverage. As a result, organizations that barely knew how to spell “Artificial Intelligence” a few years ago are now charging full steam ahead to pursue AI initiatives. A common question that is raised is, “Why is now the time for AI?” After all, there have been bursts of hype around AI multiple times over the last few decades. Is today different? And, if so, why?
By Peter Moore, Mar 06, 2018
Since 2000, over 50 percent of Fortune 500 companies have been acquired, merged or declared bankruptcy. Any company that cannot or will not transform itself into a digital enterprise faces an existential threat to its existence. To compete as a digital enterprise requires starting at the top with the CEO and Board agreeing on the right digital strategy for the company and a game plan to implement it.
By Thomas H. Davenport, Feb 27, 2018
One of the fastest-growing areas of artificial intelligence—at least if that term is defined broadly—is “robotic process automation,” a set of capabilities for the automation of digital tasks. RPA, as it is often called, has some valuable functions, but digital-centric companies may need more intelligence and process simplification to than RPA can currently provide.
By Bernie Smith, Feb 22, 2018
An unprecedented change is taking place with businesses facing a perfect storm of technologies (Artificial Intelligence, Internet of Things, Blockchain, behavioural / predictive techniques and digital applications), causing disruption to companies, employees and communities. The commercial and operational organisational cards seem stacked against bold innovation and change, but they don’t have to be. Five focused steps outlined in this blog can lead to a dramatic change.
By Pratap Khedkar, Feb 20, 2018
When it comes to cutting-edge analytics initiatives, you’re probably more inclined to think of companies like Amazon and Netflix, which have become synonymous with the savvy use of analytics to gauge customer affinity and deliver recommendations. But pharma companies are—or could be—well equipped to leverage data and analytics to deliver an even better informed and better targeted customer experience.
By Linda Burtch, Feb 15, 2018
Several years into the “Big Data” hype, analytics and data science professionals across the country are facing a changed landscape and wondering “what’s next?”
By Tanya Cashorali, Feb 13, 2018
In the startup world, “unicorn” is a term used to describe a startup that grows quickly to achieve a one billion dollar or greater valuation. In data science, the term means something else.
By Bill Franks, Feb 08, 2018
Certainly, it is important to have analytics available in the timeframe needed for making decisions. For many years, it was too difficult and expensive to execute analytics anywhere near real-time and so everything was done using infrequent batch processes. As processing power has increased exponentially and costs have dropped to unprecedented levels, it is feasible to perform a wide array of enterprise analytics on a near real-time basis. However, many organizations today are vastly over-utilizing real-time analytics and are paying a price for it that, unfortunately, isn’t always recognized.