Has Cognitive Computing Arrived?

As businesses continue seeking new ways to monetise data, cognitive computing will play an increasingly important role. 

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.

What drives cognitive computing 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.

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. Rather than trying to keep up with all the published articles and research studies, researchers need to be able to make decisions quickly based on data analytics solutions.

What are the challenges facing the development of cognitive computing?

In the development of cognitive computing applications, it is inevitable there will be a learning curve. The biggest challenge facing cognitive computing will be training the applications or systems to look at unclear, raw data elements and identify relationships among them. Recognising these data trends is an essential step to create useful, actionable insights.

What do cognitive computing applications need to be successful?

For the development of cognitive computing applications to be effective, there are four primary elements that will lead to success.

1) The first and most important element is to have a full understanding of the problem we are trying to solve.

2) Next, it is essential to fight the tendency to jump into big data and data lakes. We must define a domain-specific problem, formulate a hypothesis and analyze a small amount of data that is specific to the problem we initially identified.

3) Third, we must utilise consistently reliable data to analyse patterns. As with any data analytics project, the reliability and quality of the data used is key to success.

4) Last but not least, it is important to understand the connections between data elements of data-centric applications, as well as the volume and variety of data being used.

While we are still in the early stages of developing cognitive computing applications to help monetise data, it is important remember the core elements needed to succeed in any technical endeavor: Finding a specific domain, centering on a specific focus, and establishing specific goals. 

Unless we identify the problem we are trying to solve, the best technology in the world will not lead us to a solution.

Informaton Management:         Cognitive Computing is Advancing (£):
 

 

« Facebook Will Double UK Employees
Google Technology To Treat UK Health Service Patients »

CyberSecurity Jobsite
Perimeter 81

Directory of Suppliers

IT Governance

IT Governance

IT Governance is a leading global provider of information security solutions. Download our free guide and find out how ISO 27001 can help protect your organisation's information.

Perimeter 81 / How to Select the Right ZTNA Solution

Perimeter 81 / How to Select the Right ZTNA Solution

Gartner insights into How to Select the Right ZTNA offering. Download this FREE report for a limited time only.

Clayden Law

Clayden Law

Clayden Law advise global businesses that buy and sell technology products and services. We are experts in information technology, data privacy and cybersecurity law.

MIRACL

MIRACL

MIRACL provides the world’s only single step Multi-Factor Authentication (MFA) which can replace passwords on 100% of mobiles, desktops or even Smart TVs.

The PC Support Group

The PC Support Group

A partnership with The PC Support Group delivers improved productivity, reduced costs and protects your business through exceptional IT, telecoms and cybersecurity services.

Centre for Secure Information Technologies (CSIT)

Centre for Secure Information Technologies (CSIT)

CSIT is a UK Innovation and Knowledge Centre (IKC) for secure information technologies. Our vision is to be a global innovation hub for cyber security.

SAMATE

SAMATE

The Software Assurance Metrics And Tool Evaluation project is an inter-agency project between the US Department of Homeland Security and NIST.

Research Institute in Science of Cyber Security (RISCS)

Research Institute in Science of Cyber Security (RISCS)

RISCS is focused on giving organisations more evidence, to allow them to make better decisions, aiding to the development of cybersecurity as a science.

Magic Software Enterprises

Magic Software Enterprises

Magic provide Mobile Device Management (MDM) for Secure Enterprise Mobility. Magic MDM overcomes the challenges of mobile device management security by protecting all of your devices, data and content

AET Europe

AET Europe

AET Europe is specialised in creating technological solutions for user identification and authentication.

SCADAfence

SCADAfence

SCADAfence offers cutting edge cybersecurity solutions designed to ensure the operational continuity of industrial (ICS/SCADA) networks.

Sysmosoft

Sysmosoft

Sysmosoft specializes in providing highly secured telecommunication solutions for mobile devices for companies requiring protected access to sensitive data remotely.

Circadence

Circadence

Circadence offer the only fully immersive, AI-powered, patent-pending, proprietary cybersecurity training platform in the market today.

SK IT Cyber Security

SK IT Cyber Security

SK IT provide services and solutions for cybersecurity and advanced information system engineering.

OISTE Foundation

OISTE Foundation

OISTE foundation allows users to control their digital identities using well-understood and secure algorithms that ensure the continued validity of an identity and its claims.

Turnkey Consulting

Turnkey Consulting

Turnkey Consulting is a leading provider of Integrated Risk Management (IRM), Identity Access Management (IAM), and Cyber and Application Security.

FortifyIQ

FortifyIQ

FortifyIQ's mission is to advance maximum security against side-channel attacks across the entire computing spectrum.

OpenAVN (DefenseArk)

OpenAVN (DefenseArk)

Defending your life online, keeping your data safe and private. We detect digital threats magnitudes faster than the leading antivirus software.

Information Services Group (ISG)

Information Services Group (ISG)

As a leading global research and advisory firm, ISG partners with our clients to determine a future vision, lead rapid change and realize the value of your digital investments at scale.

Protexxa

Protexxa

Protexxa is a B2B SaaS cybersecurity platform that leverages Artificial Intelligence to rapidly identify, evaluate, predict, and resolve cyber issues for employees.

DeviQA

DeviQA

DeviQA provide best-in-class quality assurance services to companies of all sizes.