Plate/GCGC Weekly Newsletter - 12/5/22 - Information on Artificial Intelligence & how we fund A/I deals under mobile app developer funding.

Plate/GCGC Weekly Newsletter - 12/5/22 - Information on Artificial Intelligence & how we fund A/I deals under mobile app developer funding.

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According to WIKI: Artificial intelligence (AI) is intelligence—perceiving, synthesizing, and inferring information—demonstrated by machines, as opposed to intelligence displayed by animals and humans. Example tasks in which this is done include speech recognition, computer vision, translation between (natural) languages, as well as other mappings of inputs. The Oxford English Dictionary of Oxford University Press defines artificial intelligence as the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. AI applications include advanced web search engines (e.g., Google), recommendation systems (used by YouTube, Amazon and Netflix), understanding human speech (such as Siri and Alexa), self-driving cars (e.g., Tesla), automated decision-making and competing at the highest level in strategic game systems (such as chess and Go).As machines become increasingly capable, tasks considered to require "intelligence" are often removed from the definition of AI, a phenomenon known as the AI effect. For instance, optical character recognition is frequently excluded from things considered to be AI, having become a routine technology. Artificial intelligence was founded as an academic discipline in 1956, and in the years since has experienced several waves of optimism, followed by disappointment and the loss of funding (known as an "AI winter"), followed by new approaches, success and renewed funding. AI research has tried and discarded many different approaches since its founding, including simulating the brain, modeling human problem solving, formal logic, large databases of knowledge and imitating animal behavior. In the first decades of the 21st century, highly mathematical-statistical machine learning has dominated the field, and this technique has proved highly successful, helping to solve many challenging problems throughout industry and academia.The various sub-fields of AI research are centered around particular goals and the use of particular tools. The traditional goals of AI research include reasoning, knowledge representation, planning, learning, natural language processing, perception, and the ability to move and manipulate objects.[a] General intelligence (the ability to solve an arbitrary problem) is among the field's long-term goals.To solve these problems, AI researchers have adapted and integrated a wide range of problem-solving techniques – including search and mathematical optimization, formal logic, artificial neural networks, and methods based on statistics, probability and economics. AI also draws upon computer science, psychology, linguistics, philosophy, and many other fields. The field was founded on the assumption that human intelligence "can be so precisely described that a machine can be made to simulate it". This raised philosophical arguments about the mind and the ethical consequences of creating artificial beings endowed with human-like intelligence; these issues have previously been explored by myth, fiction and philosophy since antiquity. Computer scientists and philosophers have since suggested that AI may become an existential risk to humanity if its rational capacities are not steered towards beneficial goals.

https://en.wikipedia.org/wiki/Artificial_intelligence

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The banking and financial industries always strive to mitigate the challenges that prevent the growth of business. Plate Ltd. is right there among the best financial services companies on a global level and striving to help businesses grow around the world. Our financial services have the capability to deliver client satisfaction and reduce risks associated with financing your project.

Why are financiers and investors interested in mobile app development?

  • In 2018, global mobile app revenues amounted to over 365 billion U.S. dollars. In 2023, mobile apps are projected to generate more than 935 billion U.S. dollars in revenues via paid downloads and in-app advertising.
  • In 2018, 317,673 companies are active in the mobile app market in the United States. (Source – United States Federal Trade Commission)
  • The mobile app market created 5,744,481 jobs, including direct jobs and indirect jobs. (Source – United States Federal Trade Commission)

Initial Due Diligence by our company is as follows:

  • Estimated Monthly Downloads
  • Visibility Score
  • Barrier to Entry
  • User Reviews
  • Category Rankings
  • App Analytics
  • Keyword Rankings
  • Business and App Store Structure

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Currently I am looking to intake these types of projects listed below to fund from 10M USD to 100B USD: Crude Oil Refinery Projects () Oil & Gas Wells Projects () Offshore Oil Rigs () Pipeline Projects () Oil Storage Tanks Projects () Oil & Gas Terminal Projects () Gas Station & Petroleum Stations Projects () Renewable Energy Projects () Solar Power Plant Projects () Wind Power Plant Projects () Hydro Electric Power Projects () Nuclear Power Plant Projects () Mining Projects () Buying Aircraft's () Aviation Industry Projects () Aerospace Industry Projects () Airport Projects () Railway Transportation Projects () Road Projects () Commercial Building Projects () Housing Development Projects () Smart City Projects () Hotel Projects () Resorts Projects () Man-Made Islands () Healthcare Projects () Industrial Factories Projects () Water Park Projects () Sports Center Projects () Some acquisitions, refi - recap deals that are very strong and make sense() mobile app developer projects.

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