6 Trends for Cognitive and Artificial Intelligence
January 10, 2017 6:30 AM
6 Trends for Cognitive and Artificial Intelligence
In 2017, a new generation of intelligent software tools and applications will automate some decision making and business processes, and augment the human work involved. Heres a look at what to expect.
The need for the enterprise to learn at speed.
"Intelligence will become the focus for next generation applications in 2017, as the race to provide the best user experience by anticipating and predicting user behavior intensifies, predicts Leena Joshi, vice president of product marketing at Redis Labs. Enterprise applications that learn quickly and customize user experiences will be the new norm for success.
Machine learning will change the fabric of the enterprise.
Machine learning will enable the adaptive enterprise, one that aligns business outcomes and customer needs in new and different ways, Joshi says.
The enterprise will start to embrace bots.
Just as enterprises have gotten the hang of multichannel social and customer engagement, bots will up the ante for personalized interactions, requiring enterprises to quickly get their house in order, Joshi believes.
The enterprise is bursting.
Tiering data into hot, warm and cold categories will be a priority for organizations in the next year, Joshi predicts. Implementing high performance tiers for hot and warm data will become the de-facto strategy for responsive and interactive applications.
The Internet-of-Things grows up.
The enterprise has paid attention to IOT for some time, Joshi notes. This year will be the year we move past the wow phase and into the how do we do we securely and effectively bring IOT to the enterprise, how do we handle the high speed data ingest, and how do we optimize analytics and decisions based on IOT data? Those will be the questions enterprises will need to solve in 2017.
Frictionless ecommerce becomes a reality.
Amazon Go is just the beginning, but are retailers equipped with the systems, tools, etc. to introduce this experience at scale to customers, Joshi asks. And are they positioned with the right levels of expertise in IoT, machine learning, customer engagement and fraud detection to navigate it well?
