Watson Super Computer Project

The Watson Super Computer project developed by IBM is the latest technology used by international organisations as the ISS as well as the US military forces. Is one of the best developed IT technology. Quantum Computer technology is often used as a decryption solution for several secret services all around the world, since the quantum technology is capable to crack every password within milliseconds due to its architecture. The QBits are capable to have 3 conditions (0,1, 0AND1). Thus, they are faster than every normal computer on earth a very useful for complex learning algorithms behind Big Data as neural networks and learning.

Type of content: Assets
Type of asset:
Use case
Big data potential
Yes
Policy domains: Foreign Affairs and Defence
Phase in the policy cycle:
Policy Implementation
Open license availability
No
SWOT Analysis for
Watson Super Computer Project
Helpful Harmful
Internal
Strengths• Powered by the latest innovations in machine learning: Has the capability of understanding natural language and the ability to learn through repeated use. It literally “gets smarter” through tracking feedback from its users, learning from its successes and failures, and being presented new information.
• Learn more with less data.
• Integrate AI into your most important business processes: Reimagines your workflows. Your business processes get smarter with Watson. It embeds into your workflows to provide AI when you need it, where you need it.
• IBM’S Reputation: Rich industry expertise. -build models from scratch or leverage APIs and pre-trained business solutions.
• Data ownership: When you train with Watson, your insights belong to you. As your models gain value, you maintain ownership of your data.
• Accelerate research and discovery
• Enrich your interactions: Reduce response times, increase the number of transactions, and make every interaction meaningful and productive.
• Anticipate and pre-empt disruptions: Use AI to constantly monitor the condition of systems that power your business to ensure problems don’t disrupt your work.
• Recommend with confidence
• Scale expertise and learning
Weaknesses• Low ease of use
• High implementation/ customization cost
• Available Only in English (Limits areas of use)
• Seen as disruptive technology
• Maintenance
• Doesn't process structured data directly
• Increasing rate of data
• High switching costs
• Takes time to integrate Watson and its services into a company
• Targeting towards bigger organizations that can afford Watson
• Takes time and effort to learn Watson in order to use it to its full potential
External
Opportunities• The volume of unstructured data is growing at a significant rate
• Cognitive computer systems
• Creating a more natural relationship between humans and computers: Watson has the capability of understanding natural language and the ability to learn through repeated use. It literally “gets smarter” through tracking feedback from its users, learning from its successes and failures, and being presented new information.
• Applications for Watson's underlying cognitive computing technology are almost endless. Because the device can perform text mining and complex analytics on huge volumes of unstructured data, it can support a search engine or an expert system with capabilities far superior to any previously existing.
Threats• Competition
• Available Only in English (Limits areas of use)
• Seen as disruptive technology
• Maintenance
• Doesn't process structured data directly
• Increasing rate of data, with limited resources
• High switching costs
• Takes time to integrate Watson and its services into a company
• Targeting towards bigger organizations that can afford Watson
• Takes time and effort to learn Watson, in order to use it to its full potential
• Government regulations

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