The Promises and Challenges of Generative Artificial Intelligence

The Promises and Challenges of Generative Artificial Intelligence

Artificial Intelligence (AI) has been used in some form for several years. Typical applications of AI include advanced-analytics and machine learning algorithms used to perform numerical and optimization tasks like predictive modeling. Generative AI, in contrast, has matured quickly due to enormous financial investment. According to a recent article by McKinsey and Company, generative AI has the potential to change how people create and the very anatomy of work. Read on to learn more about the potential and challenges of this new form of artificial intelligence.    The Potential of Generative Artificial Intelligence What Generative AI is and Why it Matters   In the article, generative artificial intelligence is defined as AI that is typically built using foundation models and having capabilities that earlier artificial intelligence lacked. Generative AI can generate content, which earlier AI couldn’t do. A foundational model is based on deep learning, akin to the neural layers in the human brain. The foundational model uses (is trained) on vast amounts of unstructured and unlabeled data to perform tasks immediately, or that data can be refined to accomplish specific tasks. Generative AI has the potential to add value and increase revenue in businesses across all sectors; when applied across industries, the use cases for generative AI could deliver a total value of $2.6 to $4.4 trillion of economic benefits per year.    Generative AI could change the anatomy of work altogether, eliminating certain mundane tasks that take up a good part of each workday. It was forecast that AI might automate 50% of tasks between 2035 and 2070; the estimate has since been adjusted to nearly a...
Make Cloud Work for Your Business

Make Cloud Work for Your Business

Cloud computing, with its many “as a service” offerings, is an option for replacing outdated on-premise infrastructure with a flexible, pay-as-you-go, Internet-based form of computing. Read on to learn about saving costs and supporting business innovation with Cloud computing   Cloud Helps Convert Capital Expense to Operating Expense   Cloud has helped many businesses, especially small to medium-sized businesses, move their computing from possibly aging on-premise infrastructure to a cloud service provider’s (CSP) infrastructure. Thus, the CSP handles the operation and maintenance of servers, hardware and software. Small to medium-sized businesses can switch from capital expenses (including the depreciation of equipment) to a flexible subscription-based computing model that allows the company to scale provision up and down as needed. Organizations can respond easily to  demand fluctuations and use the cloud to  support business innovation. Companies are able to monitor their usage, learning the compute cost for each of customers and adjust usage as needed.    “Everything as a Service”  Can Help Streamline Costs   Infrastructure as a Service (IaaS),  Platform as a Service (PaaS) and Software as a Service(SaaS) are three primary cloud service offerings, and the range of new ones has grown over the years.  “As a Service” offerings have grown, and are expected to continue growing, over the next few years. In 2022, Gartner predicted that IT spending would exceed $1.3 trillion, and expand to $1.8 trillion by 2025. Everything as a Service (XaaS) brings together multiple offerings into one package, and investment in XaaS is slated to be the top category. In addition to the most common offerings listed above, XaaS can include Database as a...
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