Big Data & Machine Learning for Small Business

12/29/2024

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08/26/2024

FOR IMMEDIATE RELEASE

The IDF's Overreliance on Technology: A Critical Examination

Munich, August 26, 2024 — A recent analysis published by American Affairs Journal critically examines the October 7, 2023, security disaster, highlighting the Israeli Defense Forces' (IDF) overreliance on technology. The article, "The IDF’s Cult of Technology: The Roots of the October 7 Security Disaster," explores how this dependence weakened Israel's strategic capabilities, leading to vulnerabilities exploited during the Hamas attack. The piece argues for a more balanced military approach, integrating human judgment with technological advances.

Read the full article here.

06/25/2024

As a marketing professional with a strong background in data engineering, I've watched Artificial Intelligence (AI) and robotics transform industries. Today, I'll share how these technologies have impacted my business and how you, too, can leverage them for innovation. Let's dive into how AI tools like ChatGPT and other generative AI solutions can make our jobs easier, especially in the data-driven investment landscape.

Firstly, AI in marketing has been a game changer. We live in an era where data is gold, and effectively mining that data can give us a competitive edge. For instance, I use ChatGPT to draft compelling content, respond to customer inquiries, and even generate creative ideas. The time saved here is significant, allowing me to focus on strategy and deeper analytical tasks. What's more, with a robust data engineering background, automating these processes becomes seamless.

One of the most impactful benefits has been automating our excel reports. Before AI, I would spend hours poring over spreadsheets, trying to derive insights. Now, I use Python scripts to automate data extraction, transformation, and loading (ETL). Combined with AI tools, I can quickly generate insightful reports. These reports guide our investment decisions, giving us a clear picture backed by data. My colleagues have also begun to take advantage of these scripts, reducing their workload and increasing efficiency.

AI's analytical capabilities also shine when it comes to market research. Traditional methods are time-consuming and often incomplete. Now, I can program AI to analyze vast amounts of unstructured data—think social media postings, product reviews, and news articles. These insights are incredibly valuable for identifying trends and informing our marketing strategies. It's like having an extra pair of analytical eyes that never tire.

ChatGPT, in particular, has elevated our email campaigns. I program it to craft personalized messages based on customer data. These tailored emails have higher open rates and engagement, driving better results. And when it comes to copywriting, ChatGPT accelerates the process without compromising quality. I simply feed it the necessary parameters and watch it work its magic.

Robotics, too, plays a pivotal role in our business operations. For example, I've integrated robotic process automation (RPA) to handle repetitive tasks like data entry and report generation. These bots work around the clock, providing accurate outputs and freeing up valuable time for our team.

In the realm of data-driven investing, AI has allowed us to stay ahead of the curve. Predictive analytics models, built from historical data, guide our investment choices. They help us understand market fluctuations, consumer behavior, and emerging opportunities. This data-driven approach not only mitigates risks but also maximizes returns.

To my fellow marketing professionals, embracing AI and robotics can revolutionize your workflow. Start small—perhaps automating excel scripts or using ChatGPT for content creation. With each step, you'll realize the immense potential of these technologies.

In conclusion, AI and robotics are not just buzzwords; they're powerful tools that can drive innovation in your business. By leveraging them wisely, I've transformed my marketing strategies, improved efficiency, and made data-driven decisions effortlessly. And so can you. Let's innovate together, one AI-assisted task at a time.

Read writing from Keith Whitson on Medium. I am a data expert that likes to use those skills to help both regular people and big businesses. Every day, Keith Whitson and thousands of other voices read, write, and share important stories on Medium.

06/24/2024

As a marketing professional rooted in data engineering, I’ve always seen immense potential in integrating data-driven techniques into various fields. Today, I'll share how my contributions in advancing robotics through data engineering can inspire fellow marketers to adopt similar methodologies, leveraging tools like ChatGPT and other generative AI to ease their tasks.

Robotics is fascinating because it melds the physical and digital worlds. In my work, I focused on optimizing robotic systems through sophisticated data pipelines and analytics. By collecting and processing vast amounts of sensory data, I enhanced the decision-making capabilities of robots. This data-centric approach made robots smarter and more efficient.

For marketers, the same principle applies. Data is the backbone of strategic decision-making. Here's how you can harness data engineering and generative AI tools to revolutionize your marketing endeavors.

# # # Automating Data Analysis
I used data pipelines to streamline the data ingestion and processing in robotics. For marketing, tools like Python scripts can automate data extraction from customer databases, social media analytics, and ad campaigns. Imagine eliminating the hours spent manually compiling this data. Instead, you initiate a script and get a clear, actionable report.

# # # Utilizing Generative AI
Generative AI tools like ChatGPT can be a game-changer in content creation. I write content for various marketing campaigns, and it’s time-consuming. By feeding a brief to ChatGPT, I generate initial drafts, social media posts, and even ad copy in minutes. This not only saves time but also frees creative energy for strategy development.

# # # Predictive Analytics in Campaigns
In robotics, predictive models forecast system failures or performance bottlenecks. In marketing, predictive analytics can foresee customer behaviors and campaign outcomes. By building models to analyze historical campaign data, you can predict which strategies will likely succeed. This predictive edge ensures better ROI on marketing investments.

# # # Automating Routine Tasks
My love for automation extends to mundane tasks like manipulating Excel sheets. Scripts can automate repetitive tasks, such as updating performance metrics or managing inventories, ensuring that these essential yet tedious activities don't consume valuable time.

# # # Data-Driven Investment Strategies
My background in data-driven investing has always reinforced the importance of data. Marketing strategies should similarly be data-driven. Use AI tools to track investment performance, and leverage insights to adjust your marketing budget dynamically, ensuring every dollar is optimized.

In conclusion, data engineering and AI are not confined to technical fields like robotics. They offer vast potential for marketing professionals. By automating tasks, utilizing predictive analytics, and making data-driven decisions, you can unlock new efficiencies and creative potentials. Let’s embrace these tools and leverage data to drive our marketing success.

Feel free to connect if you'd like to learn more about integrating these technologies into your workflow. Let's advance together, using data and AI as our guiding stars.

Read writing from Keith Whitson on Medium. I am a data expert that likes to use those skills to help both regular people and big businesses. Every day, Keith Whitson and thousands of other voices read, write, and share important stories on Medium.

06/23/2024

Investing in AI-Driven Robotics: Opportunities and Challenges

As a marketing professional with a deep passion for data-driven investment and robust programming skills, I've found the intersection of AI and robotics brimming with potential. The blend of these technologies promises innovation but also brings challenges that we must navigate carefully.

AI-driven robotics is revolutionizing various sectors, from healthcare to manufacturing. The allure is clear: increased efficiency and reduced human error. For us in marketing, harnessing AI can mean personalizing campaigns to an uncanny degree. Imagine predicting customer behavior with near-perfect accuracy. That's a game-changer.

However, diving into AI-driven robotics isn't just about the glitz and glamor. The technical side requires a solid understanding of data engineering principles. We need to process massive datasets to train these robotic systems. This means cleaning data, dealing with inconsistencies, and ensuring real-time data updating. As a data engineer by training, I know the importance of setting up a robust data pipeline at the core of any AI project.

For marketing professionals, embracing AI tools like ChatGPT can streamline many tasks. Before using AI, I spent endless hours crafting personalized messages. Now, I can generate tailored content in minutes. This has freed up my time to focus on strategy and creativity. If you haven't yet, I urge you to integrate these AI tools into your workflow.

Here's a practical example: I automated data analysis reports using Python scripts. What used to take hours now takes minutes, giving me more time to interpret the data and craft compelling stories around it. Automation doesn't replace our roles; it amplifies our capabilities.

AI also helps in dynamic pricing, optimizing ad spend, and A/B testing. These are crucial for maximizing ROI. ChatGPT, for instance, can simulate different scenarios and suggest the best investment strategies based on data. This makes decision-making less about guesswork and more about informed choices.

But let's not overlook the challenges. Investing in AI and robotics demands significant upfront costs. Training AI models requires time and computational power. We also need to stay updated with the latest advancements. Otherwise, we risk falling behind.

Data security and privacy concerns are another hurdle. As marketers, we handle sensitive data. Ensuring this data doesn't get misused or leaked is paramount. Implementing robust security measures is non-negotiable.

To sum up, the opportunities in AI-driven robotics are vast, but they come with their set of challenges. Embracing these technologies can catapult our marketing efforts to new heights. By leveraging tools like ChatGPT and investing in automation, we can make our jobs easier, more efficient, and significantly more impactful.

As we move forward, let's combine our marketing expertise with data-driven strategies to unlock the full potential of AI. This journey will be demanding, but the rewards are unparalleled. Let's step into the future, armed with data and driven by innovation.

Read writing from Keith Whitson on Medium. I am a data expert that likes to use those skills to help both regular people and big businesses. Every day, Keith Whitson and thousands of other voices read, write, and share important stories on Medium.

06/22/2024

# Automation in Supply Chain Management: My Implementation Experience

As a marketing professional specializing in data-driven investments, I've always been passionate about leveraging technology to optimize operations. Recently, I embarked on a project to automate our supply chain management using various generative AI tools, including ChatGPT. This experience has not only increased efficiency but has also opened my eyes to the potential of these tools to revolutionize other areas of marketing.

# # # Setting the Stage

Our supply chain was plagued by manual processes that led to delays, errors, and inefficiencies. Given my background in data engineering, I took it upon myself to streamline these processes. I started by identifying the most repetitive tasks that consumed significant time and were prone to human error.

# # # Identifying the Right Tools

Leveraging my programming skills, I wrote scripts to automate mundane tasks like data entry, report generation, and inventory tracking. But the real game-changer came when I incorporated AI tools like ChatGPT. For instance, I used ChatGPT to automatically draft supplier communication, reducing the time spent on email correspondence by 50%.

# # # The Implementation Process

1. **Data Extraction and Cleaning:**
- I used Python scripts to extract data from various internal systems and APIs.
- Pandas and NumPy libraries helped cleanse and preprocess the data.

2. **Automating Repetitive Tasks:**
- Excel scripts automated routine calculations and data updates.
- ChatGPT generated initial drafts for reports and supplier communication.

3. **Decision Support:**
- Machine learning models predicted inventory needs and optimized stock levels.
- ChatGPT provided insights into market trends to guide procurement strategies.

# # # Overcoming Challenges

Integrating these tools wasn't without its challenges. Initially, there were issues with data inconsistency and API limitations. I tackled these by implementing data validation checks and using more robust APIs.

However, the most significant challenge was ensuring that the automation didn't compromise the personal touch in supplier communication. To address this, I used ChatGPT-generated drafts as a starting point and added personalized touches before sending. This balanced efficiency with relationship management.

# # # Extending Automation to Marketing

This experience taught me that the principles of automation and generative AI could be applied to many facets of marketing. For example:

- **Content Creation:**
- Use ChatGPT to draft blog posts, social media updates, and ad copy.

- **Customer Insights:**
- Implement AI tools to analyze customer data and generate actionable insights.

- **Campaign Management:**
- Automate data extraction and cleaning tasks to focus on strategy and creativity.

# # # Tying It Back to Investments

Streamlining supply chain management can significantly impact the bottom line, making a company more attractive to investors focused on operational efficiency. Moreover, using data-driven insights to guide procurement and marketing strategies can drive profitability, further appealing to data-centric investment professionals.

# # # Conclusion

Automating our supply chain with generative AI tools like ChatGPT has been a transformative experience. It saved countless hours, reduced errors, and enhanced decision-making. I encourage other marketing professionals to explore the potential of these tools. Not only can they ease your workload, but they can also provide insights that can drive smarter, data-driven decisions in all aspects of your operations.

By embracing automation, we can focus on what we do best: crafting compelling narratives, building strong relationships, and driving growth. So why not give it a try? Your future self might just thank you.

Read writing from Keith Whitson on Medium. I am a data expert that likes to use those skills to help both regular people and big businesses. Every day, Keith Whitson and thousands of other voices read, write, and share important stories on Medium.

06/21/2024

When I first ventured into data-driven investing, I couldn't help but notice the vast potential APIs held for revolutionizing business automation. These are "Application Programming Interfaces" – powerful tools that allow different software systems to communicate. By leveraging APIs in my projects, I managed to automate menial tasks and bring forth efficiencies that were not only impactful but transformative.

As someone with a background in data engineering, I saw how APIs could enhance data retrieval, processing, and integration. For instance, one of my recent projects involved gathering real-time financial data for analysis. Instead of manually pulling data from numerous websites, I used financial APIs to automate the collection process. This not only saved considerable time but also improved accuracy and data consistency—a win-win for any data-driven decision-making.

Given my marketing role, I started applying the same principles to automate marketing tasks. Let me share some practical applications from my projects that you, too, can implement to make your job easier:

1. **Automating Data Collection:** I used APIs from social media platforms to gather engagement metrics automatically. This allowed me to monitor campaign performance in real-time without being glued to dashboards all day long.

2. **Integrating ChatGPT for Content Creation:** ChatGPT can automate the creation of blog posts, emails, or even social media updates. By leveraging its API, I set up a system where I input key topics and guidelines, and the tool generates relevant content. This saved me hours and ensured a consistent publishing schedule.

3. **Personalized Customer Engagement:** Integrating customer relationship management (CRM) systems with email marketing tools through APIs allowed for personalized email campaigns based on user behavior. For example, when analyzing investment portfolios, targeted advice could be sent, enhancing client engagement and trust.

4. **Script Automation in Excel:** Being a data enthusiast, I often use Excel for various analyses. By writing scripts—using Microsoft Excel’s API—I automated repetitive tasks like data cleaning, report generation, and even simple predictive analyses. It meant less time crunching numbers and more time focusing on strategic insights.

5. **Streamlining Lead Management:** By connecting forms on our website directly to our CRM system through an API, I automated the lead capture and follow-up processes. This ensured no lead fell through the cracks and allowed prompt follow-ups—critical in the fast-paced world of investments.

Incorporating generative AI tools like ChatGPT and automating tasks using APIs can drastically change how marketing professionals work. Not only does it add layers of efficiency, but it also allows you to focus on more strategic aspects of your job.

In data-driven investing, where time and accuracy are paramount, these automations have proven invaluable. I advocate for fellow marketers to embrace these tools and explore how they can streamline your workflows. With every mundane task automated, you'll find more time to delve into data insights and drive impactful strategies.

Read writing from Keith Whitson on Medium. I am a data expert that likes to use those skills to help both regular people and big businesses. Every day, Keith Whitson and thousands of other voices read, write, and share important stories on Medium.

06/20/2024

Robotic Process Automation: Transforming My Business Efficiency

When I first heard about Robotic Process Automation (RPA), I was skeptical. As a marketing professional in the data-driven investment sector, I deal with substantial amounts of data daily. I constantly seek smarter, more efficient ways to manage it, but RPA seemed too good to be true. Today, I’d like to share how RPA effectively transformed my business efficiency and how you, as a fellow marketing professional, can leverage it — along with tools like ChatGPT — to simplify your work.

At its core, RPA automates repetitive and mundane tasks that drain our time. This technology uses software "robots" to mimic human actions, seamlessly performing tasks across various applications. From data entry to report generation, RPA handles it all. Initially, I started with automating routine data extraction tasks.

One of my primary responsibilities is managing large datasets from different investment platforms. Before RPA, converting this data into insightful reports consumed much of my day. Now, with a few lines of code, my RPA script extracts and compiles the data within minutes. As a data engineering enthusiast, this was an exciting way to apply my programming skills. The upfront effort of writing these scripts paid off massively in saved time and reduced errors.

But RPA isn’t just for data geeks. With platforms offering user-friendly interfaces, you don't need to write a single line of code to leverage RPA’s power. For those less comfortable with programming, these tools offer drag-and-drop functionality to design your automation processes.

Moreover, RPA's benefits extend beyond data handling. For instance, integrating ChatGPT into our marketing workflow revolutionized our customer interaction strategy. ChatGPT generates personalized email drafts, freeing up my team to focus on creative and strategic tasks. By implementing a simple script to link our CRM with ChatGPT, we automated email responses based on common queries and previous interactions, ensuring prompt and accurate communication.

Additionally, in the realm of data-driven investing, RPA shines by automating the collection and analysis of investment data. With consistent, error-free data at my disposal, I can make faster and more informed investment decisions. This efficiency directly translates to better-performing portfolios and ultimately, higher client satisfaction.

If you’re new to RPA, start small. Pick a redundant task that eats up your time and see how RPA handles it. From experience, I'd recommend automating data extraction or routine report generation first. Utilize simple tools like Excel scripts to ease into the automation mindset. Also, don't shy away from leveraging AI. Tools like ChatGPT can significantly enhance your productivity by taking over time-consuming content generation tasks.

In conclusion, embracing RPA and generative AI tools doesn't just streamline tasks — it empowers you to focus on strategic, value-added activities. Dive into this new era of efficiency. Bring technology to the forefront of your marketing efforts, and witness the transformation firsthand. Trust me, the future of marketing efficiency is here, and it starts with automation.

Read writing from Keith Whitson on Medium. I am a data expert that likes to use those skills to help both regular people and big businesses. Every day, Keith Whitson and thousands of other voices read, write, and share important stories on Medium.

06/19/2024

As a marketing professional in the data-driven investment field, I have always been fascinated by the power of automation and data analysis. My background in data engineering has taught me the importance of leveraging technological tools to streamline tasks and make more informed decisions. Today, I want to share my methods for synergizing VBA (Visual Basic for Applications) and Python for financial analysis, and how you can use ChatGPT and other generative AI tools to make your marketing job easier.

First, let's talk about why VBA and Python. VBA is a programming language for Excel and other Microsoft Office applications. It allows you to automate repetitive tasks, manipulate data, and create custom functions. On the other hand, Python is a powerful, versatile language popular for its simplicity and its vast ecosystem of libraries like Pandas, NumPy, and Matplotlib, which are incredibly useful for data analysis.

In my financial analysis workflows, I often start with Excel because of its ease of use and accessibility. However, Excel alone can become cumbersome for complex analyses. That's where VBA comes in. With VBA, I can automate tasks such as data cleaning, formatting, and basic computations. For example, I have a VBA script that automatically compiles monthly financial reports from raw data, saving me hours of manual work each month.

While VBA is great for automation within Excel, Python helps me take my analysis to the next level. After automating initial tasks with VBA, I use Python for more sophisticated data manipulation and visualization. I have integrated Python scripts within my Excel VBA projects to seamlessly transition data between Excel and Python. This synergy allows me to leverage the strengths of both languages.

Now, let's discuss how ChatGPT and generative AI tools can make your life easier. These AI tools can assist you in creating VBA and Python scripts even if you're not a programmer. Imagine using ChatGPT to generate a VBA script for cleaning data or a Python script for performing statistical analysis. You provide a simple description of your task, and the AI generates the code for you.

I have used ChatGPT to generate Python scripts for complex data manipulation tasks that I would otherwise spend hours coding myself. This not only speeds up my workflow but also allows me to focus on strategic decisions rather than getting bogged down in code. Using generative AI, I can quickly prototype solutions and iterate on my financial models, making my analyses more robust and timely.

In the data-driven investing space, speed and accuracy are crucial. By combining VBA, Python, and generative AI tools, I can automate repetitive tasks, perform deep analyses, and make data-driven decisions faster. This synergy enhances my productivity and allows me to uncover insights that drive investment strategies.

I encourage you to explore these technologies and see how they can transform your work. You don’t have to be an expert coder to benefit from these tools— think of them as your digital assistants, helping you unlock the full potential of your data.

Remember, the future of marketing in the financial sector lies in leveraging technology to enhance efficiency and decision-making. Embrace these tools and watch your productivity soar.

Read writing from Keith Whitson on Medium. I am a data expert that likes to use those skills to help both regular people and big businesses. Every day, Keith Whitson and thousands of other voices read, write, and share important stories on Medium.

06/18/2024

# Exploring AI and Machine Learning Investments: My Perspective

As a marketing professional with a passion for data-driven investing and a strong background in programming and data engineering, I've found that AI and Machine Learning (ML) are revolutionizing our industry. My experience shows how generative AI tools like ChatGPT can make our jobs easier and more efficient. Today, I want to share some insights into leveraging these technologies in the marketing and investment domains.

# # Understanding the Power of AI in Marketing

AI is no longer just a buzzword; it's a game-changer. I use ChatGPT to generate engaging content quickly. For example, crafting eye-catching product descriptions or blog posts becomes a breeze. The tool can also assist in creating targeted email campaigns by personalizing content based on customer data.

# # Data-Driven Decisions in Investing

I rely heavily on data-driven decisions in the world of investments. Utilizing AI and ML allows me to analyze massive amounts of data faster than any human could. Predictive analytics, for example, help forecast market trends and guide investment strategies. By integrating AI into our workflows, we can make more informed and precise financial decisions.

# # Automating Tedious Tasks

One aspect I love about programming is automating repetitive tasks. Writing scripts for Excel or other spreadsheet software saves hours of manual work. For example, I've automated data cleaning and preprocessing, making it easier to prepare datasets for analysis. This automation frees up time for more strategic activities.

# # Enhancing Customer Insights

Generative AI tools provide deeper insights into customer behavior. By analyzing data from various sources—social media, CRM systems, and transaction histories—I can get a comprehensive view of customer preferences. These insights enable more precise targeting and personalized marketing efforts, ultimately driving better ROI.

# # Practical Applications of ChatGPT

Here are some practical ways to use ChatGPT in our field:
- **Content Creation**: Quickly produce high-quality articles, social media posts, and email drafts.
- **Market Analysis**: Summarize complex financial reports and market trends.
- **Customer Support**: Develop automated responses for FAQs or complex queries.

# # Investing in AI and ML

From a data-driven investment perspective, I can't emphasize enough the potential of AI and ML. Companies that leverage these technologies are likely to outperform their peers. Investing in AI-focused businesses, therefore, seems prudent. Additionally, applying these technologies within our own organizations not only improves efficiency but also positions us at the forefront of innovation.

# # Conclusion

Embracing AI and ML as a marketing professional has been transformative. These technologies streamline our tasks, enhance customer insights, and support data-driven investment decisions. By incorporating tools like ChatGPT into our workflows and automating routine processes, we can focus on what truly matters: crafting strategies that drive growth and profitability.

AI and ML are here to stay, and I encourage everyone in the marketing and investment fields to explore their potential. Start small, experiment, and gradually integrate these tools to revolutionize your approach.

I hope you find these insights helpful. Let's embrace the AI revolution together and make our jobs smarter, not harder.

Read writing from Keith Whitson on Medium. I am a data expert that likes to use those skills to help both regular people and big businesses. Every day, Keith Whitson and thousands of other voices read, write, and share important stories on Medium.

06/17/2024

From Data to Insights: Python Techniques I Use in Robotics

As a marketing professional with a background in data engineering, I’ve found Python indispensable in my work within the investment space, especially when it comes to robotics. By leveraging Python’s robust libraries and tools, I not only gather and process data efficiently but also derive actionable insights that can shape strategic decisions.

One area where I consistently use Python is in automating tedious tasks. With libraries like Pandas and openpyxl, I can manipulate large datasets and automate repetitive tasks in Excel. For example, I’ve written scripts that clean, structure, and analyze investment data pulled directly from APIs or CSV files. This saves hours of manual work and reduces the risk of errors, giving me more time to focus on strategy and creative tasks.

When handling data from robotic sensors or machine logs, Python’s NumPy and SciPy libraries are incredibly beneficial. They help me perform complex numerical computations quickly. Through these computations, I can identify trends and anomalies that point to potential investment opportunities or risks. For instance, analyzing performance data from robotics companies allows me to forecast future growth and make data-driven investment decisions.

To visualize the data, I rely heavily on Matplotlib and Seaborn. These libraries enable me to create compelling charts and graphs that communicate insights clearly to stakeholders. Visualizing data patterns and trends helps in presenting a strong investment case or identifying market gaps that can be capitalized on.

Generative AI tools like ChatGPT have also found a place in my toolkit. Crafting marketing campaigns becomes seamless when I use ChatGPT to draft emails, social media posts, and ad copy. The AI takes care of initial drafts, allowing me to fine-tune the messaging without wasting time on the blank-page syndrome. It’s like having an assistant who understands the nuances of marketing and data-driven insights.

For more sophisticated analysis, such as predictive modeling, I turn to machine learning libraries like Scikit-Learn and TensorFlow. These tools can help in building models that predict market movements or assess the potential of a robotics investment. By training these models on historical data, I can offer more accurate forecasts and strengthen my investment recommendations.

In essence, Python bridges the gap between raw data and actionable insights. It empowers me to make informed decisions quickly and accurately. Moreover, combining it with generative AI tools like ChatGPT augments my productivity, making complex tasks more manageable and less time-consuming.

If you’re a marketing professional in the investment sector, leveraging Python and generative AI can revolutionize your approach. Automate routine tasks, delve deeper into data analysis, and transform insights into compelling narratives. By doing so, you’ll not only enhance your efficiency but also drive better investment outcomes.

Stay curious, keep experimenting, and let data guide you to smarter decisions. Happy coding!

Read writing from Keith Whitson on Medium. I am a data expert that likes to use those skills to help both regular people and big businesses. Every day, Keith Whitson and thousands of other voices read, write, and share important stories on Medium.