Big Tech Companies have been engaged on the road to Artificial Intelligence. The technology focus have been shifting from Machine Learning to Generative Artificial Intelligence (AI). Some technology companies have been publicly announcing their plans, including hiring engineers, statisticians, mathematicians, designers, and others with a background or interest in Machine Learning but pushing further to Generative AI. The move to Generative AI is a major step in AI itself. As they shape its strategy, advance their plans, achieve their goals, and reach their vision in AI, the expected windfalls are humongous . Already, some companies like META, Apples, and most recently NVIDIA have started to harvest the results.
The success in Generative AI will help many tech companies to deal with the "AI race" on which other tech companies are competing on. But, many common people and the stock markets continue to wonder on what really Artificial Intelligence (AI) is and how to approach it. Let us look at its structure, types, functionalities, domains, focus, and stages, below.
AroniSmart Team has been developing and using tools with AI capabilities. These tools, available on Apple's App Store, are AroniSmartIntelligence (aka AroniSmartLytics) and AroniSmartInvest.
Nvidia (NVDA) stock Price Fueled by AI Expectations
Nvidia (NVDA) stock has been on a high rise. The stock has gained more than 270% over the past year. The performance has been attributed to successful artificial intelligence (AI) projects. Nvidia revenues, fueled by AI, including machine learning and other key areas of AI, such as Generative AI, have increased by 400% to $18.4 billion in Q4 2023.
Many following the market performance view NVIDIA through its AI chips offerings. However, behind are even more important AI products and services. These products and services include softwares, data, and machine learning tools. During the latest NVIDIA earning calls, these AI products and services have been highlighted as being the main drivers of revenues and part of the vision and key business strategy.
NVIDIA CEO Jensen Huang confirmed the strategy regarding the software and services as the main drivers and "a very significant business over time."
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It is well agreed that the strengths of NVIDIA’s AI have fueled other businesses including Alphabet (GOOGL), Microsoft Meta, and Amazon. NVIDIA is also strengthening the momentum of the competitors, such as other chip makers like AMD and Intel that, reportedly, have been working hard to release cutting edge AI chips, with more efficiency and power.
With the latest market performance, Nvidia hit a $2 trillion market capitalization, scoring a record among the chipmakers and being the third US company to reach over a $2 trillion market valuation. The two other companies companies are Apple (AAPL) with $2.83 trillion and META Microsoft, with $3.06 trillion. It has outpaced both Amazon(AMZN) with $1.818 trillion and Alphabet (GOOGL) with $1.797 trillion in just one year.
However, Artificial intelligence remains a little bit not well understood by many. Let us revisit the concept and the areas behind AI.
Artificial Intelligence is More than Machine Learning.
Artificial Intelligence (AI) is a broad concept of using a Machine to carry on tasks that would be considered "Smart". From a general belief, AI is hence the process of building intelligent machines from large volumes of data, usually Big Data, with the systems continually learning from past learnings, and knowledge and experiences and consequently, being able to perform humanlike tasks or even, in the future, to outperform humans.
Using the big data, AI leverages complex algorithms and methods, to support decision making or develop systems and machines that can make decisions on their own, like humans. But to achieve that, services, technology and softwares are needed.
However, Artificial Intelligence is more than that.
Hence, AroniSmart™ Team has put together a visual summary of what AI is looking at various dimensions, including Functionalities, Types of Learning Branches, Domains and Focus.
The summary is in the concept map below.
Figure - AroniSmart Artificial Intelligence Concept Map: structure, types, functionalities, domains, focus, and stages.
So far, the AroniSoft™ tools developed by AroniSmart™ team have focused on Predictive AI.
In fact, AroniSmart™ team, leveraging Machine Learning, Natural Language Processing (NLP), Applied Parametrics and Non-Parametric Statistics, Decision Trees, Data Science, Text and Sentiment Analysis, Neural Networks, Econometrics and Time Series capabilities and Dominance Analysis of AroniSmartInvest ™ and AroniSmartIntelligence™, has been publishing insights from analytics.
What is the next steps for AroniSmart on its AI journey? More to come...
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