Why is computational design important? It lets you proceduralize and automate what can be a tedious task to repeat over and over — and it doesn’t mean you have to code. If you can think computationally, that’s where you want to start. You need to know how to speak machine at least a little, or […]
At Publicis Sapient we have been helping businesses to become digitally enabled for almost thirty years. While primarily a technology company, we’ve also believed profoundly in the power of human creativity since our inception in the 90s when we merged with Studio Archetype — founded by Apple creative legend Clement Mok. So our culture of […]
There are regular analyst “report cards” for consulting companies, and shortly after I joined Publicis Sapient I had the opportunity to work on one of them.
I’ve been browsing a variety of future-watching reports out there to consider a chain of events that start with virtual machines at scale. In the end, I centered around Gartner’s interpretations because it was v CIO-y.
At the Forrester CX Forum I had the opportunity to share what we’ve been cooking over here at Publicis Sapient. It’s called LEAD: Light, Ethical, Accessible, Dataful. We’re delighted to see how it’s being adopted internally, so we thought to share it with the general CX community in true open-source format. Watch to learn more […]
Jared Spool has a popular list of 5 things that execs care about. They are: ↑ REVENUE: Increasing revenues ↓ COSTS: Decreasing costs ↑ NEW: Increasing new business/marketshare ↑ EXISTING: Increasing revenue from existing customers ↑ VALUE: Increasing shareholder value
The Iceberg Canvas is a conscious design framework for re-evaluating value propositions. It departs from standard applications of design thinking in that it takes into consideration ‘below the iceberg’ ramifications – i.e. the forces at play below the polished surface of the products and services we use and experience today.
Consciously mapping the consequences of the proposition before beginning to develop it earnest should help surface possible ethical issues and this helps to mitigate them — creating propositions that meet genuine needs but are less likely to damage the world and the company’s reputation in the process.
nearly all organizations expect to accelerate their AI and ML efforts in the coming years, with the most advanced organizations anticipating the deployment of as many as 35 projects by 2022. An exciting prospect, to be sure. But without a concerted effort to integrate those programs into a single strategy, many organizations may fail to generate the full benefits of their investments. For many retailers, there will be truth in the age-old adage: quality over quantity.
I think everyone wants to unravel the big tech companies. Are they “mind casinos” that can control our emotions? If you look at it that way, there is a definite problem, and the problem has to get addressed somehow. Is Facebook the only problem? I don’t think so.