Attivio CEO Stephen Baker offers 4 bold predictions for the Big Data and BI market in 2017.

1. Big Data
Predictions
For 2017
By Stephen Baker, CEO

2. Searchas a Service
Fortune 500 Will Deliver
Search as a Service
At Scale
Employees are the most valuable asset in any organization, yet
nearly 40% say they still spend far too much time just
searching for information. In fact, many employees are still
searching for information one silo at a time.
The best performing companies will roll out targeted
search applications on a common platform in 2017.
Those applications are easily tailored to each functional area’s
unique requirements to provide users with search as a
service, thereby increasing the productivity of each employee.

3. Speed and Agility in Big Data
Analytics Will Create
Competitive Advantage
Hadoop is widespread, but most
organizations don’t have a full grasp of
what’s in their data lake.
Very few can easily find, understand,
and unify the data inside and outside of
the lake.
Leading companies start by cataloging the
contents of their data lakes to gain
immediate visibility into all information.
This fuels agility across the entire data
infrastructure. And nimbleness in the data
architecture powers better decision-
making in the line of business.

4. 1 | FORTUNE 500 WILL DELIVER SEARCH AS A SERVICE AT SCALE
Even the most data-driven companies are analyzing only
a small fraction of their information – typically, just some
of their structured data – which usually amounts to about
20% of their total information landscape.
This means that they are missing opportunities and
making decisions based on incomplete information.
Those that are quickest to learn how to democratize
their data will have a competitive advantage.
Analytics Will Begin to Get Amazing
As They Begin to Include
Unstructured Information

5. 1 | FORTUNE 500 WILL DELIVER SEARCH AS A SERVICE AT SCALE2017 Will See A Marked Rise of
Machine Learning,
Natural Language Processing,
Text Analytics
Organizations continued to blur the lines between search-based,
data-driven, and IoT solutions in 2016. In 2017, forward-looking
companies will recognize that modern, cognitive solutions rely on a
global, semantic understanding of the information. Under the hood,
this means:
 Machine Learning – Provide improved context for decisions
through continuous pattern matching
 Natural Language Processing – Increase efficiency by quickly
narrowing choices to the right information
 Text Analytics – Detect similarities and variants to ensure key
indicators are not missed
The bottom line? A single, semantic infrastructure to unify
structured data and unstructured information drives
productivity and innovation.