by Angela Guess

Leena Joshi, VP of Product Marketing at RedisLabs, recently shared her thoughts on what we can expect from smarter data in 2017. Her list begins, “The need for enterprises 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. 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. The enterprise will start to embrace bots – Just as enterprises have gotten the hang of multichannel social and customer engagement, bots up the ante for personalized interactions, requiring enterprises to quickly get their house in order.”

Her list continues, “The enterprise is bursting – Tiering data into ‘hot’, ‘warm’ and ‘cold’ categories ​will be a priority for organizations in the next year. Implementing high performance tiers for “hot” and ‘warm’ data will become the de-facto strategy for responsive and interactive applications. IOT grows up – The enterprise has paid attention to IOT for some time, though 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? And are they positioned with the right levels of expertise in IoT, machine learning, customer engagement and fraud detection to navigate it well?”

Learn more at RedisLabs.com.

Photo credit: RedisLabs