This article was written by Ton Dobbe – Chief Inspiration Officer, Value Inspiration, following an interview with Dr. Cindy Gordon, Founder & CEO of SalesChoice.
Every week I interview entrepreneurs and experts from around the world to share their big idea about new forms of value creation and the potential we can unlock when technology augments the unique strengths of people to deliver remarkable impact.
Pre-Book Launch Review by Dr. Cindy Gordon, CEO SalesChoice – November 2nd, 2017
I was thrilled to receive a pre-launch copy of Donal Daly’s new Book, Digital Sales Transformation in a Customer First World. As I dug in to read Donal’s seventeen thought-provoking chapters, it was very obvious that he had successfully painted a clear picture of the digital sales transformation market dynamics, and the impact this is having on sales transformation. Speed of information and big data is simply our new reality. The Rise of the Digital Transformation is put in context with his opening chapter’s words:
“In the two minutes, it has taken you to read to this point in this introduction, the world sent 300 million emails, watched 15 million videos on YouTube, and searched 8 million times on Google. Salesforce customers processed 6 million transactions in that time, and together we managed to send 10 million emoji’s! The world is truly moving at Internet speed and it is only getting faster.”
September 26 2017 | Toronto, ON – New York-based Enterprise Sales Forum will be celebrating October as a Women in Sales Month across all its chapters globally, with the Toronto edition holding a celebratory event on October 4 with a focus on Women in STEM.
THE HISTORY AND ROOTS OF PREDICTIVE ANALYTICS
Blog #1 discussed the history of predictive analytics going back to 1689 with Lloyds of London, insurance company. Predictive approaches, irrespective of the computing science and machine learning underpinnings, have been here for over 337 years. Blog #2 will define predictive analytics methods in more detail and in particular, I will explore the relevance and history of artificial intelligence.