🧑🏾💻| Tech
Evolution of Cloud Computing Through AI Integration
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Aug 23, 2023 06:51 PM
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Evolution-of-Cloud-Computing
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📱| Technology
🤖| AI/ML
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The integration of artificial intelligence (AI) into cloud computing is transforming the technological landscape. AI enhances cloud services by analyzing large amounts of data quickly and enabling smarter decision-making. Case studies of AI-driven transformation in cloud computing include IBM's Watson, Veritone's cognitive computing platform, Quantifi's AI analytics software, and the collaboration between AWS and GE Healthcare. The future holds even more potential for AI and cloud computing to further improve efficiency, flexibility, and intelligence.
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🧑🏾💻| Tech
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Oct 21, 2023 10:39 PM
The Evolution of Cloud Computing Through AI IntegrationAI and Cloud: A Symbiotic RelationshipCase Studies of AI-Driven Transformation in Cloud Computing1. IBM's Watson2. Veritone3. Quantifi4. AWS and GE HealthcareConcrete OpinionReferencesDownload the full article here
The Evolution of Cloud Computing Through AI Integration
The interconnection between cloud computing and artificial intelligence (AI) is significantly transforming the technological landscape. The fusion has brought unprecedented improvements, pushing the envelope for digital evolution. This comprehensive report presents how AI is reshaping the constitution of cloud computing providers, driven by its potential to analyze vast amounts of data swiftly and facilitate quicker, smarter decision-making.
AI and Cloud: A Symbiotic Relationship
Cloud computing and AI are intertwined in a symbiotic relationship, each amplifying the capabilities of the other. Cloud computing offers the infrastructure and computational capacity necessary to handle voluminous datasets usually associated with AI. In contrast, AI brings sophisticated data analysis, insights discovery, and automation - thus improving cloud services' operational efficiency, reliability, and user experience.
The distinction within AI - machine learning (ML), deep learning, natural language processing, predictive analytics, among others - has broadened the spectrum of possibilities in the cloud space. From healthcare to retail, the influence of AI-enabled cloud services is quite profound.
Case Studies of AI-Driven Transformation in Cloud Computing
Several leading tech companies have been at the forefront of integrating AI into their cloud services, to impressive results. Herein are four notable cases:
1. IBM's Watson
Watson, IBM's AI system, exploits the power of cloud storage for data-driven insights, which aids in resolving complex issues. The system was revolutionary when applied in healthcare, helping doctors make immediate and safer decisions through treatment recommendations. Watson has capabilities such as analyzing DNA in cancer patients, thus optimizing the individual treatment approach [^1^] and cognitive retail capabilities.
2. Veritone
California-based software company Veritone has designed an AI-fueled operating system employing cloud-based cognitive computing to process large-scale datasets from diverse sources. This innovative platform paves the way for intellectual cloud platforms to become accessible to every user and organization. Veritone notes that 80% of all data remains underexplored, and AI can unlock valuable insights from this abundance of information [^2^].
3. Quantifi
As a testament to AI's impact on advertising, Quantifi's AI and ML analytics software enhance digital ad placements. The AI-empowered cloud computing system can swiftly analyze vast datasets and achieve smart, fast results. Quantifi accentuates its AI and cloud blend's "test and learn" qualities, allowing the system to continuously learn and improve.
4. AWS and GE Healthcare
In collaboration, AWS and GE healthcare utilized Amazon SageMaker, AI and ML platform, to detect critical health conditions. The 'GE Health Cloud' uses half a million imaging devices connected to analyze data and formulate deep-learning algorithms for smart care strategies [^3^].
Concrete Opinion
While it is evident that AI has marked profound changes in cloud computing services, I argue that we are only beginning to scratch the surface of what AI and cloud computing combined could offer. The future will likely see increasingly sophisticated AI models that will make cloud services even more efficient, flexible, and intelligent.
In conclusion, AI's role in evolving cloud computing is undeniable. It is an enabler of efficiency, enhancing system processing, decision making, and storage of information. As more studies and innovations point towards the impactful transformation spurred by AI within cloud computing, stakeholders should harness this revolutionary trend.
References
[^1^]: Information gathered from url "https://seas.harvard.edu/news/2021/10/present-and-future-ai"
[^2^]: Information gathered from url "https://www.linkedin.com/pulse/fusion-cloud-computing-ai-rousing-case-studies-anuj-kumar"
[^3^]: Information gathered from url "https://www2.deloitte.com/us/en/insights/industry/technology/technology-media-and-telecom-predictions/cloud-based-artificial-intelligence.html"
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