More than 80 percent of high-growth sales organizations use five or more sales technologies, suggests a recent online survey of 400 companies. Velocify and the American Association of Inside Sales Professionals partnered on the research and released their findings on Tuesday. The average number of sales technologies in use was 10, based on the participants’ reports.
While sitting in the audience at Zuora’s recent Subscribed event, I couldn’t help contemplate the meaning and progress of what was once a set of words that didn’t roll off the tongue. I am talking about the “subscription economy” — and it’s really something. The data coming in from a variety of sources shows how rapidly subscriptions have become a big part of our lives, and why not?
Just when PCs looked to be dying a slow, painful death, they became interesting again. As expected, this week’s news coming from Computex is flush with new PCs and PC technologies, but is it enough to reinvigorate a market that has faced declining sales since 2011? The market peaked at just over 365 million units annually, and fell to 269 million units last year. So, why all the excitement?
What we can learn about keeping businesses healthy from the industry responsible for keeping us healthy: healthcare
The convergence of algorithmic advances in multilayer neural networks, the evolution of PC graphics processing units as massively parallel processing accelerators, and the availability of massive data sets fueled by the Internet and widely deployed sensors — big data — has enabled a renaissance in software neural network modeling techniques commonly referred to as “deep learning,” or “DL.”
It gives some measure of the importance we give to AI that I went to two conferences last week and sat through two panel sessions on the subject. At CRM Evolution, I was part of the discussion in a breakfast session. At the Oracle CX show, executives involved in the adaptive intelligent applications product line tried to define the basics in a session for analysts and reporters.
They say it can take a product idea 10 years to go from concept to mass-market appeal but that might be only an optimist’s viewpoint. Some of the best ideas in CRM right now have been marinating for at least that long — and some for much longer. Two great examples are analytics and CPQ, which companies like Oracle, Salesforce and others have embraced with passion.
Although nearly every research study and industry survey suggests the Internet of Things market is growing rapidly, plenty of companies are holding back from pursuing IoT opportunities, for a variety of reasons. Ironically, the possibility of a long-overdue financial downturn in the next few years could force executives to put aside their apprehensions and finally launch new IoT initiatives.
Most people think they know what the term “artificial intelligence” means, based on the results of a survey Pegasystems released Tuesday. However, their responses suggested that they probably don’t fully understand how it’s being used today, including in the customer service realm. Researchers polled 6,000 adult consumers in the United States, the UK, the Netherlands, France and Germany.
Eighty-three percent of U.S. broadband households, or more than 250 million consumers, own and use a smartphone. A recent beneficiary to this mass adoption has been the sharing economy phenomenon, which includes sharing apps such as Uber, Lyft and Airbnb. These business models are augmented by real-time data including location, instant gratification, on-demand pricing, and easy payment options.
As the tug of war between humans and machines escalates, we’ve become witnesses on nearly a daily basis to events that suggest there won’t be an ultimate winner or loser in this existential battle for survival and supremacy. Just take two little human mistakes that recently received worldwide attention because of the power of today’s technology to magnify their impacts on a global scale.
We are just at the start of an enterprise renaissance where companies (and people) are hungry for a simple way to do work.