Cognitive Computing

Cognitive Computing

1. Introduction: -

Cognitive computing is the simulation of human thoughts processes in a computerized model. Cognitive computing involves a self learning system that uses data mining, pattern recognition and natural language processing to mimic the way human brain works and helps to improve decision-making. Cognitive computing systems learn and interact naturally with people to extend what either humans or machine could do on their own. They help human experts make better decisions by penetrating the complexity of Big Data.

Cognitive also describe the platform that broadly speaking on the scientific discipline of artificial intelligence and signal processing. These platform encompasses machine learning, reasoning, natural processing, speech and vision, human-computer, dialog and narrative generation.

This cognitive computing works by having more focused goal towards making more accurate model of how human brain senses, reason and responds to stimulus.

Some features that cognitive systems may express are:

·         Adaptive: - They may learn as information changes and as goals and requirements evolve. They may resolve ambiguity and tolerate unpredictability. They may be engineered to feed on dynamic data in real time, or near real time.

·         Interactive: - They may interact easily with users so that those users can define their needs comfortably. They may also interact with other processors, devices, and Cloud services, as well as with people.

·         Iterative and stateful: - They may aid in defining a problem by asking questions or finding additional source input if a problem statement is ambiguous or incomplete. They may “remember” previous interactions in a process and return information that is suitable for the specific application at that point in time.

·         Contextual: -They may understand, identify, and extract contextual elements such as meaning, syntax, time, location, appropriate domain, regulations, user’s profile, process, task and goal. They may draw on multiple sources of information, including both structured and unstructured digital information, as well as sensory inputs (visual, gestural, auditory, or sensor-provided).

2. Challenges Faced by the oil and gas Industries: -

1.      Oil and gas companies are not able to fully utilize available data for innovation because of poor quality, inconsistency across data bases and incompleteness

2.      Oil and gas companies struggle to maintain the right pool of talent due to the highly technical and complex nature of job, ageing workforce, downsizing and safety concerns

3.      Oil and gas companies demanding new skills areas such as data scientists, geologists etc.

4.      Oil and gas companies lack advanced analytical tools and technologies that can guide them on critical decisions such as acquisitions and selection of major capital project investments

5.     Oil and companies maintain huge volumes of business and technical data but constrains of traditional systems, human capabilities, and poor quality of data do not allow the full value of the information to be exploited.

3.Limitations in Human and Machine: -

HUMANS	MACHINE
Human brain can consume and process only limited amount of information	Traditional technology cannot handle ambiguity.
Human brain can consume and process only limited amount of information	Traditional paradigm of computing is pre-programmed and rigid; it cannot learn, reason, or relate
Human workers and experts can make mistakes and have biases	Machines do not interact in natural language.

 4.How Cognitive Computing can enhance human performance?

1.      Enhance: - Enhances the cognitive process of professionals to strengthen decision making in the moment.

2.      Scale: - Scales expertise by elevating the consistency and objectivity of decision making across an organization.

3.      Accelerate: - Captures the expertise of the top performance and accelerates the development of expertise in others.

5.How Cognitive computing can help the industry to transform.

Discover	Decide
Helps people discover insights that perhaps could not be done by even the most brilliant human beings	Helps in making bias free evidence based decision
Finds insights and connections, understands the vast amounts of information available	Evolves continuously towards more accuracy based on new informations  outcomes and actions
Visualizes possibilities and validates theories like experts	Provides traceability to audit why a particular decision is made

6.Cognitive computing is already helping oil and gas organizations, and will drive an even more profound transformation in the near future and now.

NOW	FUTURE
Woodside uses cognitive collective intelligence to improve decision making	Capital equipment and assets management will be made more effective through cognitive, and complexity associated with equipment selection will be reduced making the exploration process simple and cost effective
Repsol uses cognitive technologies in taking critical business decisions such as optimization of oil production and acquisitions of oil fields	Field operations will exploit cognitive to improve production and operational efficiency and to improve the fundamental understanding of producing fields
Statoil makes use of cognitive computing in prospect valuations	Business development initiatives can be made far more efficient and effective with the help of cognitive computing
An oil and gas giant explores cognitive computing to improve the quality and speed of crude trade decisions	Non technical risks related to HSSE – SR can be managed effectively with cognitive computing
An oil and gas company uses cognitive computing to discover best ways to improve HSSE response and effectiveness

                                                                                                                  By:-

Anmol Saxena
Robin Mittal