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Gartner’s report titled Gartner’s Top 10 Strategic Technology Trends for 2017 identifies technologies which are just beginning to break out of an emerging state and stand to have substantial disruptive potential across industries.

The strategic tech trends identified, which fall under groupings for Intelligent, Digital and Mesh, are:

Intelligent

AI & Advanced Machine Learning
Intelligent Apps
Intelligent Things

Digital

Virtual & Augmented Reality
Digital Twin
Blockchain

Mesh

Conversational Systems
Mesh App and Service Architecture
Digital Technology Platforms
Adaptive Security Architecture

The various trends are illuminating. Gartner states that the combination of extensive parallel processing power, advanced algorithms and massive data sets to feed the algorithms has unleashed the new era of advanced machine learning, in which systems that understand, learn, predict, adapt and potentially operate autonomously operate.

The banking industry is cited as an example where banks could use AI and machine-learning techniques to model current real-time transactions, as well as predictive models of transactions based on their likelihood of being fraudulent.

Intelligent apps too will infiltrate every existing software category, according to Gartner.

Intelligent apps too will infiltrate every existing software category, according to Gartner. Security tooling to enterprise applications such as marketing or ERP will be infused with AI enabled capabilities, and using AI, technology providers will focus on three areas — advanced analytics; AI-powered and increasingly autonomous business processes; and AI-powered immersive, conversational and continuous interfaces.

Trend number nine caught our eye as well. Gartner states that “Digital technology platforms are the building blocks for a digital business and are necessary to break into digital. Every organization will have some mix of five digital technology platforms: Information systems, customer experience, analytics and intelligence, the Internet of Things and business ecosystems. In particular, new platforms and services for IoT, AI and conversational systems will be a key focus through 2020.   Companies should identify how industry platforms will evolve and plan ways to evolve their platforms to meet the challenges of digital business.”

 

 

“Companies should identify how industry platforms will evolve and plan ways to evolve their platforms to meet the challenges of digital business.”

The above-mentioned trends relating to machine learning and digital technology platforms are directly applicable, we believe, to ChannelCenter. In creating a digital channel platform to radically simplify the channel and enable stakeholders throughout the channel to be more effective and competitive, ChannelCenter’s platform covers many of the digital technologies mentioned in the Gartner Report, including information systems, customer experience, analytics and intelligence, and business ecosystems.

We too, share Gartner’s sentiment in stating that “Companies should identify how industry platforms will evolve and plan ways to evolve their platforms to meet the challenges of digital business.” In the case of ChannelCenter however, we have a complete, comprehensive and packaged platform ready for the distributor to plug into and go to market with – no need for them to spend valuable time and money attempting to develop and evolve their own platform.

Gartner’s example regarding the predictive capabilities of machine learning on banking is relevant and comparable to ChannelCenter too. Gartner writes that “Banks could use AI and machine-learning techniques to model current real-time transactions, as well as predictive models of transactions based on their likelihood of being fraudulent.”

 

ChannelCenter’s platform has been designed from the outset to be fully digital, and to automate vital business processes with related cost and efficiency benefits.

In a similar manner, ChannelCenter’s digital platform applies machine learning and analytics technology to drive cross and up-sell for platform customers, utilizing the massive amount of transactional data being generated on the platform every day.

Users can see vital sales and operational statistics such as top transacting partners, highest selling products, recurring revenue sources and information on license renewals, which is summarized and presented along with predicted customer behavior and potential sales opportunities.


It’s great to see ChannelCenter align with some of Gartner’s technology trends for 2017. ChannelCenter’s platform has been designed from the outset to be fully digital, and to automate vital business processes with related cost and efficiency benefits. It was born in the cloud, and harnesses current technology to add value to vendors, distributors and resellers. It’s a forward-looking, customer-centric product designed for an increasingly dynamic IT channel environment.

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