Lithium, a critical component in electric vehicle batteries,  is in high demand.  The demand for lithium  has been rising, as the share of electric vehicles has been increasing.  In fact, major dominating technology companies in the last five years include those leveraging electric cars and new batteries. However, the market for battery-grade lithium is way larger, beyond Electric vehicles. In fact most of portable electronics, the laptops and tablets and smartphones depend lithium-ion batteries.  The key major player for Lithium production  is the African continent. Hence, the question iis whether Africans, especially leaders are ready?

As expected Apple held its 2023 annual Fall event on Tuesday, September 12, 2023, starting at 10:00 AM PT. During the event,  the new products long rumored were all confirmed,  including iPhone 15, Apple Watch Series 9, and some accessories such as iPhone Cases, Apple Watch bands , USB-C, AirPods Pro Case (see previous articles here:  AroniSmartIntelligence™ Technology: Ready for Apple's Wonderlust Event  and Apple's Fall 2023 Event: iPhone 15, Apple Watch 9, iOS17, iPadOS17, tvOS17, watchOS 10, and More).

Apple is expected to hold its 2023 annual Fall event on Tuesday, September 12, 2023. During the event, it has been  rumored that Apple will  announce new products including iPhone 15, Apple Watch Series 9, and some accessories such as iPhone Cases, Apple Watch bands , and USB-C AirPods Pro Case.  The event will build on the 2023 annual Worldwide Developers Conference (WWDC) launched on June 5, 2023.  WWDC 2023 focused on the future versions of iOS, iPadOS, macOS, watchOS, and tvOS, and a captivating new innovation, Vision Pro Headset, operated by visionOS.

Apple launched the 2023 annual Worldwide Developers Conference (WWDC) event on June 5, 2023 at 10:00 AM PCT.  Like in previous annual WWDC, and as reported in AroniSmart's previous coverages (Apple's WWDC 2022: EApple's WWDC 2022: MacOS Ventura, iOS16, iPadOS16, watchOS 9, M2 Chip, and More) ,  the event focused on the future versions of iOS, iPadOS, macOS, watchOS, and tvOS. But there was even a more captivating new innovation:   Vision Pro Headset operated by visionOS.  The major announcements included the new macOS 14, known as MacOS Sonoma, which is replacing macOS Ventura,  iOS 17, iPadOS 17, tvOS17, watchOS10, AirPods Pro and more.

Apple, Inc is ready for Artificial Intelligence.  Its technology focus has shifted from Machine Learning to  Generative Artificial Intelligence (AI). Apple's focus was uncovered when it announced the plan to hire engineers with a background or interest in Generative AI. Generative AI  will help Apple to shape its strategy, advance its plan,  achieve the goals, and reach the vision  in  AI.  The success in Generative AI will help Apple to deal with the "AI race"  on which other tech companies are competing on. 

But, what is  really Artificial Intelligence (AI)?  Let us look at its structure, types, functionalities, domains, focus, and stages,  below....
 

As expected Apple held  Far Out Event, the first Fall event, on Wednesday, September 7, 2022 starting at 10:00 a.m. Pacific time, at the Steve Jobs Theater on the Apple Park campus in Cupertino, California.   As  expected, and reported by AroniSmart (See Apple's Far Out Event: Apple Sends Invites for the Sep 2022 Far Out Event; New iPhone Models and Other Products Expected) the event  focused on new iPhone 14 models along with new redesigned Apple Watch Series 8 and AirPods Pro.  Meanwhile, the Apple stock (AAPL) has positively reacted to the event.

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. 

Stocks across  all sectors, especially in Tech, Healthcare, Financial Services,  Energy,  and Consumer  have been delivering differential returns over the last years including  in 2021, 2022, and Q1- early Q4 2024. Most stocks reached  heights in December 2021.  Then, in 2022 and up to mid-Q1 2023, the  stock growth became broadly negative across most sectors, except energy. The major stock market indices were also impacted.  Since then, many stocks across all sectors, along with the key  market indices have been on the rise, on a path to reaching the 2021 levels.  In a sample of key stocks to watch, as identified by AroniSmart™ team, leveraging the Machine Learning, Econometrics,  and NLP capabilities AroniSmartIntelligence™ and AroniSmartInvest™, most stocks have shown resilience and sometimes outperforming most of the other  stocks and the  key stock market indices.  As the end of Q4 2023 is reached , almost all the stocks, along with the key indices have reached  highs, even aiming at  their record highs.

 AroniSmart™ team, leveraging the Machine Learning Time Series capabilities, including Support Vector Machine,  and Dominance Analysis of AroniSmartIntelligence™ and AroniSmartInvest™,  has looked at the trends  of the stock prices of 21  selected  companies  between Q4 2021 and  Q4 2023 and came up with insights and  projections on the dynamics.   This is the Part 2 of the analysis. The findings captured in Part 1 may be seen here: AroniSmartIntelligence™ in Action: Stock Performance Analysis with Sentiment Analysis, Support Vector Machine and Dominance Analysis in Q4 2023 - Part 1.

Part 2 insights are presented below (for disclaimer and terms, check AroniSoft website).

Stocks across sectors, especially in Tech, Healthcare, Financial Services,  Energy,  and Consumer  have been delivering differential returns over the last years including in 2021, 2022, and Q1- early Q4 2024. Most stocks reached  their record highs in December 2021.  Then in 2022 and up to mid-Q1 2023,  stock growth has become broadly negative across most sectors, except energy. The major stock market indices  were also impacted.  Since then, many stocks across all sectors, along with the key  market indices have been on the rise, trying to reach the 2021 levels.  A sample of key stocks to watch, as identified by AroniSmart™ team, leveraging the Machine Learning  and NLP capabilities of AroniSmartIntelligence™ and AroniSmartInvest™,  have shown resilience and sometimes outperforming most of the stocks and the stock market indices.  

 The stock market lost momentum since December 2021 while the oil industry has gained  following the  increasing market volatility, inflation, interest rates, world events,  and other dynamics.  AroniSmart™ team, leveraging the Machine Learning Time Series capabilities, including Support Vector Machine, Econometrics,  and Dominance Analysis of AroniSmartIntelligence™ and AroniSmartInvest™,  has looked at the trends  of the stock prices of 21  selected  companies  between Q4 2021 and  Q4 2023 and came up with insights and  projections on the dynamics.   The insights are presented below (for disclaimer and terms, check AroniSoft website).

Stocks across industries have been experiencing an upward momentum since the beginning of Q3 2023.  Some stocks have completely recouped the losses  and reached  their high levels observed in 2022.  Technology, Beverages,  and Semi-conductors stocks including Apple Inc. (NYSE: AAPL), Meta (NYSE: META), Nvidia (NYSE: NVDA), Advanced Micro Devices(AMD), Tesla(NYSE :TSLA), The Home Depot (NYSE: HD),  Lowes (NYSE: LOW), Pepsi Cola (NYSE: PEP) and Exxon (NYSE: XOM) have been delivering  strong  returns in Q3 2023, similar to those in  the year 2021 and Q1 2022.  The oil industry has remained resilient during the period, with Crude Oil (CL=F) and Exxon Mobil Corporation (XOM) around the levels reached in late 2022.  Banking and Pharmaceuticals stocks  have remained almost flat or experienced some headwinds. The stock market indices have shown similar trends and patterns.  The stock market appears to face off  the  previous  increasing market volatility, inflation, world events,  and other dynamics since late Q2 2022.  AroniSmart™ team, leveraging the Machine Learning Time Series capabilities, including Support Vector Machine,  and Dominance Analysis of AroniSmartIntelligence™ and AroniSmartInvest™,  has looked at the trends of  the stock price of AAPL vs  the stock prices of 20  selected  companies  and market indices between Q4 2021 and  Q3 2023 and came up with insights and  projections on the dynamics.   The insights are presented below (for disclaimer and terms, check AroniSoft website).

On Tuesday January 31, 2023, AroniSmart™ team, leveraging the NLP, Text and Sentiment Analysis, Machine Learning  Econometrics and Time Series capabilities and Dominance Analysis of AroniSmartInvest ™ and AroniSmartIntelligence™, looked at the stock markets news and trends. Since the beginning of the year, the stock market has been volatile,  with seesaw movements driven by the news around the world, the fears of recession, the resilience or weaknesses of some sectors, the inflation worries,  Ukraine wars, Chinese companies, and economical forecasts. From the analysis, the team came up with insights and highlights on key stocks and market sentiments.

Year 2022 is ending. During the year, the stock market has  experienced major dynamics, mostly with historical randomness and a downtrend rollercoaster.  The major upbeats sentiments and performance observed in 2021 were almost washed out. The main drivers have been inflation, Federal Reserve interest rates actions, international politics, including the war in Ukraine and the dynamics in the Chinese economy and US economic policies.  In early Q4 2022, the stocks rose, in anticipation of a softening inflation following the rise in interest rates, some positive earnings ahead and softening worries of recession.  But the volatility has remained high,  driven by continued worries of recession and recent dynamics in tech companies, including layoffs, persistent inflation in some sectors, and slowing down growth in others. The S&P 500, DOW, NASDAQ, Russell 2000, Crude Oil,  Silver, Treasury Yield, Gold all have been impacted and went though major volatilities. Hence the picture of the year,  as the year is ending  has been historic: a widespread volatility and growing fears after a fueled momentum over 2021. As highlighted in several analyses, major questions coming from investors  and users leveraging AroniSmartIntelligence™ and AroniSmartInvest™ capabilities remain focused on the findings from analyzing the connection among the key Stock market indices, especially NASDAQ Dow Jones(DJI), S&P 500, Russell 2000, Gold,  Silver, Treasury Yield and Oil and some key stocks, generating some meaningful trends. Based on these questions,  AroniSmart™ team, has continued to leverage the advanced analytics tools to analyze the trends of the key market indices  and a few selected stocks across some sectors, such as Technology, Finance, Retail, Healthcare, and others  as the year 2022 ends.  The key findings are captured in this article.

On Tuesday May 30, 2023, AroniSmart™ team, leveraging the NLP, Text and Sentiment Analysis, Machine Learning  Econometrics and Time Series capabilities and Dominance Analysis of AroniSmartInvest ™ and AroniSmartIntelligence™, looked at the stock markets news and trends. Since the beginning of the year, the stock market has been volatile,  with seesaw movements driven by the news around the world, the fears of recession, the resilience or weaknesses of some sectors, the inflation worries,  Ukraine wars, Chinese companies, and economical forecasts. From the analysis, the team came up with insights and highlights on key stocks and market sentiments. Below are the key stocks highlighted and expected to weight heavily in investment decisions at the end of Q2 2023 and the associated sentiment analysis results.

AroniSmartIntelligence ™ is one of the most advanced analytics tools with Machine Leaning, Data Science, Statistics, Econometrics,  NLP Text and Sentiment analysis, Neural Network, and Support Vector Machine capabilities. To support NLP Text and Sentiment analysis, a new capability has been recently added: Speech-to-Text Transcription. Now the AroniSmartIntelligence version will also include a critical capability: Decision Trees, complementing the usual Bayesian Network  and Regression classification tools. 

Decision Trees will help solve the various problems related to classification built on big data and fuel data science insights. 

AroniSmartIntelligence ™ is one of the most advanced analytics tools with Machine Leaning, Data Science, Statistics, Econometrics,  NLP Text and Sentiment analysis, Neural Network, and Support Vector Machine capabilities. Many users have been asking questions on how to use the tool for some key modeling needs. One of the increasing predictive modeling needs focus Marketing Mix Analytics (MMx) and Multi Touch Attribution (MTA).

The following sections covers the approach to use AroniSmartIntelligence to build the two types of models:  MMx and MTA.

AroniSmartIntelligence ™ is one of the most advanced analytics tools with Machine Leaning, Data Science, Statistics, Econometrics,  NLP Text and Sentiment analysis, Neural Network, and Support Vector Machine capabilities. To support NLP Text and Sentiment analysis, a new capability has been added: Speech-to-Text Transcription.

AroniSmartIntelligence Speech Recognition and Transcription is being added to address key requirements and meet the needs for more advanced NLP Text and Sentiment analytics.

AroniSmartIntelligence ™ is one of the most advanced analytics tools with Machine Leaning, Data Science, Statistics, Econometrics,  NLP Text and Sentiment analysis, Neural Network, and Support Vector Machine capabilities.

AroniSmartIntelligence ™, available on Apple's App Store®,  is intended, very useful, and handy for experts, professionals,  and college and graduate students in Statistics, Machine Learning, Quantitative Business Analytics, Data Science, Econometrics, STEM, Operations Research, and other related fields. It includes a detailed Handbook and a well crafted and instructive User's manual. It is a cutting-edge analytical tool for advanced analytics and developing actionable insights without the hassle of coding.

Machine Learning and Data Science Models  are gradually and fastly improving and becoming the center of advanced analytics, business intelligence, decision making, management science, data science,  and other areas in which sound informed decisions are needed.  Yet, the area continues to be  both exciting and intriguing, while remaining the needed tool to generate valuable analytical insights to support decision making and advanced research. A critical area includes Marketing Mix predictive models, in which Multiplicative Models and LogLog Models, built on sound Data Scinece capabilities have been the major focus, as businesses try to grow by targeting the right customers and optimally allocating their marketing budget.  Given this increasing  importance of this foundation in the advanced analytics, machine learning and data science, AroniSmartIntelligence ™, one of the most advanced analytics tools with Big Data, Statistics, Econometrics, Machine Leaning, Text and Sentiment analysis, Neural Network, Support Vector Machine capabilities has continually  improved the key modules including  Neural Networks, Econometrics, Time Series, Bayesian Models,  Support Vector Machine, Big Data Analytics,  and Text Analytics. The latest improvements  are  in the new version AroniSmart 12.1.x, available on Apple's App Store®, starting today.