Skip to main content

Gartner's Predictions for the Year Ahead

Here are my selection of key predictions from Gartner that will impact front-line business process optimization, and customer care evolution in the coming year.

CRM Marketing Strategies and Technologies Mature
In 2006, marketing will be a major area for organizational investment in customer relationship management (CRM). Marketing applications will continue to mature, offering greater functionality, improved analytics, more deployment options and the emergence of service-oriented components.

Renewed Interest in Selling Technology
The ripple effect of Oracle's acquisition of Siebel Systems, continued on-demand user adoption and a renewed emphasis on e-commerce will be the biggest drivers for sales organizations during the next few years.

CSS Will Require Increasingly Close Coordination With IT
Investment in business process improvement, wireless-enabled workers and customers, and integrated communications infrastructure will be more critical to customer service and support than packaged applications. Close cooperation between the CSS and IT organizations will be more important than ever.

E-Learning Will Become Intrinsic to Your Business Process
Successful e-learning implementations require strategy and technology, supported by appropriate stakeholders. In 2006, governance and management will be the key themes for e-learning to address.

Emerging Trends Drive New Opportunities
Opportunities for process and business improvements will derive from a "real-world Web" of smart objects and ambient intelligence, and from consumer-oriented trends such as Web business platforms, aesthetic design and mobile robots as they move into the business world.

Popular posts from this blog

Frontier AI Peaked. Here's What Comes Next

The prevailing narrative around artificial intelligence (AI) has been one of relentless scale. Bigger models, bigger clusters, bigger budgets. The assumption, largely unchallenged until recently, was that raw parameter count translated directly into competitive advantage. New research from Omdia suggests it's time to retire that assumption. According to the latest market study by Omdia, parameter growth in frontier AI models has slowed to around 5 percent annually since 2021, a stark contrast to the more than hundredfold expansion seen between 2019 and 2021. Enterprise AI Market Development For executives who have been making infrastructure and investment decisions based on the assumption that AI would keep demanding ever-larger, ever-more-expensive hardware, this finding deserves serious attention. The race to the top of the model size leaderboard has, at least for now, plateaued. Crucially, Omdia's analysts are not reading this as an AI winter. Alexander Harrowell, senior pri...