Has Cognitive Computing Arrived?

Has Cognitive Computing Arrived?

Has Cognitive Computing Arrived?

As businesses continue seeking new ways to monetize data, cognitive computing will play an increasingly important role. Cognitive computing has the potential to transform the way we view data analytics. Cognitive computing is a blend of artificial intelligence (AI), neuro-linguistic programming (NLP), machine-learning algorithms, ontology, data ingestion and data lakes.

To a data management practitioner, cognitive computing is about gaining insights from data-centric platforms and applications, and blending them with artificial intelligence, which effectively mirrors a human’s ability to identify trends and draw powerful insights.

With today’s powerful processors, storage capacity and the increasing sophistication of artificial intelligence technologies, cognitive computing is poised to revolutionize data analytics.

To better understand cognitive computing and its potential impact on data analytics, it is first important to acknowledge the drivers of cognitive computing, applications necessary to be successful and, ultimately, the biggest challenges to developing these applications.

There are four drivers leading the way for cognitive computing. The first is the volume and growth of web pages and applications. In 2016 alone, hundreds of thousands of web pages and applications were developed and that number is growing daily.

Read Also:
The Most Important Skill in Data Science: Mining and Visualizing your Data

The second driver is data that has been derived from intelligence devices, which is then used in the development of cognitive computing applications.

The third driver is cognitive computing’s appeal for analytics because data is growing more complex by the second.

Lastly, the final driver of cognitive computing is evolving industries like healthcare and life sciences. Experts in these fields are pushing for cognitive computing solutions that can help them better understand complex medical diagnoses.

 



Chief Analytics Officer Europe

25
Apr
2017
Chief Analytics Officer Europe

15% off with code 7WDCAO17

Read Also:
Getting into Data Science: A Guide for Students and Parents

Chief Analytics Officer Spring 2017

2
May
2017
Chief Analytics Officer Spring 2017

15% off with code MP15

Read Also:
Building a Real-Time Recommendation Engine With Data Science

Big Data and Analytics for Healthcare Philadelphia

17
May
2017
Big Data and Analytics for Healthcare Philadelphia

$200 off with code DATA200

Read Also:
Five reasons industrial IoT demands the edge
Read Also:
How to Build a Data Strategy Pt. II

SMX London

23
May
2017
SMX London

10% off with code 7WDATASMX

Read Also:
What does IoT mean for utilities?

Data Science Congress 2017

5
Jun
2017
Data Science Congress 2017

20% off with code 7wdata_DSC2017

Read Also:
How data science is changing the energy industry

Leave a Reply

Your email address will not be published. Required fields are marked *