Welcome to the Complete Guide to Marketing Work Management (MWM)—a proven methodology for managing marketing and creative work. For the typical creative services team or in-house agency, chaos is the norm—constant work requests, interruptions, overflowing email inboxes, shifting client expectations, and long hours are often the rule rather than the exception. Work chaos is why nearly 60 percent of creative workers are either completely overwhelmed or barely meeting their deadlines1 and why only 14 percent of creative leaders say they are extremely satisfied with their current situation.
In this guide, you’ll learn more about the MWM methodology—why you need it, what it is, its guiding principles, and strategies you can implement throughout every phase of your team’s workflow to improve visibility and gain more time to focus on creative work. When you manage work the MWM way, you’ll be able to:
• Balance your workloads so they aren’t unbearable
• Justify your value to both clients and executives
• Prioritize work according to strategic value
• Gain better data and insights
• Optimize your resources
• Improve team communication and collaboration
• Accelerate the approval process
• Define and achieve successful outcomes
• Gain visibility into your entire workflow
IDC strongly believes that the days of homogeneous compute, in which a single architecture dominates all compute in the datacenter, are over. This truth has become increasingly evident as more and more businesses have started to launch artificial intelligence (AI) initiatives. Many of them are in an experimental stage with AI and a few have reached production readiness, but all of them are cycling unusually fast through infrastructure options to run their newly developed AI applications and services on.
The main reason for this constant ove ...
Clients can realize the full potential of artificial intelligence (AI) and analytics with IBM’s deep industry expertise, technology solutions and capabilities and start to infuse intelligence into virtually every business decision and process.
IBM’s AI & Analytics Services organization is helping enterprises get their data ready for AI and ultimately achieve stronger data-driven decisions; access deeper insights to provide improved customer care; and develop trust and confidence with AI-powered technologies focused on security, risk and ...
Le damos la bienvenida a la era de la inteligencia artificial (IA), donde los negocios se ven supeditados a tecnologías de uso intensivo de datos, como el aprendizaje automático y el aprendizaje profundo. Para aprovechar las ventajas de estas nuevas herramientas de IA, debe asegurarse de que el “hogar” en el que almacena los datos de su organización está ordenado.
A continuación dispone de una lista de comprobación para comenzar a limpiar los datos almacenados, que se desglosa en dos fases clave del proceso de limpieza: formación e inferenc ...
Benvenuti nell’era dell’intelligenza artificiale (AI), in cui l’operatività dell’azienda dipende dalle tecnologie ad alta intensità di dati, quali machine learning e deep learning. Per utilizzare al meglio questi nuovi strumenti di intelligenza artificiale, è necessario assicurarsi che il luogo in cui risiedono i dati dell’organizzazione sia in ordine.
Ecco una lista di controllo per iniziare il percorso che consentirà di mettere ordine nei dati, suddiviso in due fasi fondamentali: preparazione e inferenza.
Seguire questi passaggi per di ...
Welcome to the era of artificial intelligence (AI), where the way you do business is reliant on data-intensive technologies like machine learning and deep learning. To take advantage of these new AI tools, you need to make sure your organization’s data "house" is in order.
Here’s a checklist to get you started on your path towards a clean data house, broken down into the two key phases of housekeeping — training and inference.
Follow these steps to help you become an AI master. ...
Pressure Intensifies to Drive Digital Business in Europe. We are now in an era of multiplied...