This will sound familiar to all business decision makers; constantly juggling tasks, deadlines, and strategic goals.
What if there was a powerful tool that can supercharge your productivity, enhance customer experiences, and secure your business’s future? Enter Generative AI—your secret weapon.
GenAI, short for Generative Artificial Intelligence, is a type of AI technology that can create new content, whether it’s text, images, or even music, based on the data it’s been trained on. It’s like having a digital artist at your fingertips; you give it a prompt or a theme, and it uses its learned patterns to generate something new and unique. It’s not just about copying what it’s seen before, but rather, mixing and matching different elements to produce something original.
The Journey So Far
Early Days (1950s-1970s)
In the 1950s, researchers laid the groundwork for AI. .
Chatbots like ELIZA emerged in the 1960s, sparking interest in human-computer interaction. .
The 1970s saw advancements in computer vision and early neural networks.
The AI Winter (1970s-1980s)
Unrealistic expectations led to the first AI winter—a period of disappointment and reduced funding. .
But the seeds were sown for what would come next.
Generative AI Today
Generative Adversarial Networks (GANs)
In 2014, GANs changed the game. .
GANs consist of a generator and a discriminator—they battle it out to create realistic data (images, videos, audio).
ChatGPT: Your AI Co-Pilot
ChatGPT is a shining star in Generative AI. .
It generates high-quality text, images, and more in seconds. .
Imagine having an AI co-pilot that drafts emails, crafts marketing copy, and answers queries instantly.
Claude and Gemini: Rising Stars
Claude 3 from Anthropic and Gemini (formerly known as Bard) from Google are making waves. .
Claude 3 excels in code generation, reasoning, and mathematics. .
Gemini offers formidable conversational AI and visual capabilities.
Real-World Business Benefits
Speed and Efficiency
ChatGPT turbocharges your workflow. .
Draft reports, create content, and make decisions faster. .
Imagine the time saved – hours become minutes.
Quality Content at Scale
Content creation is relentless. ChatGPT, Claude, and Gemini churn out blog posts, social media updates, and product descriptions. .
Consistent, high-quality content keeps your audience engaged.
Customer Delight
Personalisation matters. Chatbots powered by Generative AI provide instant, relevant responses. .
Imagine customers feeling heard and valued – loyalty follows.
Job Security
Adapt or get left behind. Generative AI is here to stay. .
By mastering ChatGPT, Claude, and Gemini, you future-proof your career. .
Employers value professionals who embrace innovation.
The Exciting Future
Generative AI will continue to evolve. .
Imagine AI-generated marketing campaigns, personalised recommendations, and automated processes. .
The future belongs to those who harness Gen AI.
Conclusion
Generative AI isn’t just a tool; it’s your ally. Embrace it, explore its capabilities, and watch your business thrive. Remember, simplicity and innovation go hand in hand. Get excited—Gen AI is your secret weapon!
Disclaimer: Use Generative AI responsibly and reap the rewards.
References:
McKinsey: Don’t Wait, Create with Generative AI
B12: How Can I Use Generative AI Tools in My Business?
iGenius: 4 Key Benefits of Generative AI for Your Business
Welcome to the world of data visualisation and analysis with Power BI! In this blog, we’ll dive into the heart of Power BI’s analytical capabilities: DAX measures.
DAX, or Data Analysis eXpressions, is a powerful formula language that enables users to define custom calculations in Power BI reports. Whether you’re a seasoned data analyst or just starting out, understanding DAX measures is key to unlocking insightful business intelligence.
So, let’s explore some of the most popular measures, array functions, and time-intelligence functions, and see how they can transform raw data into meaningful insights.
Calculate Measure
Some often-used Power BI DAX measures include:
SUM: calculates the sum of a selected column of data
AVERAGE: calculates the average of a selected column of data
COUNT: counts the number of rows in a selected column of data
MIN/MAX: calculates the minimum or maximum value in a selected column of data
DISTINCTCOUNT: counts the number of unique values in a selected column of data
CALCULATE: modifies the context within which a DAX formula is evaluated
FILTER: filters a table based on specific criteria
RANKX: ranks values in a selected column of data
YEAR/QUARTER/MONTH: extracts various time periods from a date column in a table
DAX measures allow users to perform complex calculations and analysis on their data quickly and effectively, providing valuable insights into trends and patterns in their data.
Array functions
Many measures in Power BI desktop need to be array measure, because of the data model structure in a Power BI model.
One of the powerful features in DAX is this ability to create array measures, which are measures that return an array of values instead of a single value. This can also be complicated for users, who haven’t been working with data cubs.
Here are some examples of DAX array measures:
1. DISTINCTCOUNT function:
DISTINCTCOUNT returns the number of distinct values in a column or expression. When used in an array formula, it returns a list of distinct counts for each value in another column.
For example, the following DAX formula returns an array of distinct count values for the “Product” column:
= DISTINCTCOUNT(Products[Product])
2. FILTER function:
FILTER returns a table that meets certain criteria specified in the expression. When used in an array formula, it returns a list of filtered tables for each value in another column.
For example, the following DAX formula returns an array of filtered tables for each value in the “Category” column:
VALUES returns a table of unique values in a column or expression. When used in an array formula, it returns a list of unique values for each value in another column.
For example, the following DAX formula returns an array of unique values for each value in the “Category” column:
= VALUES(Products[Category])
4. SUMX function:
SUMX returns the sum of an expression for each row of a table. When used in an array formula, it returns a list of sum values for each value in another column.
For example, the following DAX formula returns an array of sum values for each value in the “Product” column:
= SUMX(Products, Products[Price])
Array measures are a powerful way to analyse data and gain insights from multiple dimensions at once. With DAX, you can build complex array formulas that can handle large amounts of data and answer specific business questions.
This formula groups sales by customer ID and calculates the sum of sales amount for each customer. Then, it takes the average of all the customer sales.
This formula calculates the growth rate of sales from the previous month. It uses the DIVIDE function to divide the total sales amount by the total sales amount from the previous month. Then, it subtracts 1 to get the growth rate percentage.
5. Running Total of Sales by Month:
CALCULATE(
SUM(Sales[Amount]),
FILTER(
ALL(Sales),
Sales[Date] <= MAX(Sales[Date])
)
)
This formula calculates the running total of sales by month. It uses the CALCULATE function to add up the sales amount for all dates that are less than or equal to the maximum date in the current filter context. The FILTER function is used to remove any filters on the date column that might interfere with the running total calculation.
Time-intelligence functions
DAX (Data Analysis Expressions) Time-intelligence functions allow users to analyse data over time, providing insights into key trends and patterns.
Some common DAX Time-intelligence functions include:
TOTALYTD: This function returns the total value of a given measure from the beginning of the year up to the selected date.
TOTALQTD: This function returns the total value of a given measure from the beginning of the quarter up to the selected date.
TOTALMTD: This function returns the total value of a given measure from the beginning of the month up to the selected date.
SAMEPERIODLASTYEAR: This function returns the total value of a given measure for the same period last year.
DATESYTD: This function generates a table with all the dates within the current year up to the selected date.
DATEQTD: This function generates a table with all the dates within the current quarter up to the selected date.
DATEADD: This function adds a specified number of units to a given date.
Example: DATEADD Returns a table that contains a column of dates, shifted either forward or backward in time by the specified number of intervals from the dates, in the current context.
Syntax: =DATEADD(<Dates>,<Number of intervals>,<Interval>)
where the <Interval> can either be Year, Month, Quarter or Day
These functions can be used in combination with other DAX functions to create more complex analyses and visualisations.
Conclusion
As we wrap up our exploration of DAX measures in Power BI, it’s clear that these tools are indispensable for any data professional. From calculating simple sums to performing complex time-based analyses, DAX measures empower us to make data-driven decisions with confidence.
We encourage you to experiment with the examples provided and discover the full potential of DAX in your own business scenarios. Remember, the power of data is at your fingertips, and with Power BI and DAX, there’s no limit to the insights you can uncover!
