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Unlocking Business Insights: Leveraging Data Analytics and AI

Updated: Aug 17, 2023


Unlocking Business Insights:  Leveraging Data Analytics and AI

Data analytics and AI are two of the most important technologies in the world today. They are both used to extract insights from data, but they do so in different ways.


Data analytics involves systematically gathering, refining, and examining data to uncover noteworthy patterns and insights. This systematic approach to data analysis is commonly employed to address specific issues and challenges.


AI, conversely, constitutes a field within computer science focused on developing intelligent entities called agents. These agents possess the capabilities of reasoning, learning, and independent decision-making. AI is frequently harnessed as a relatively modern technology to address intricate and challenging issues.


The combination of Data Analytics and AI is commonplace. AI serves the purpose of automating data analysis tasks and enhancing the creation of advanced models capable of generating insights that would be challenging or unattainable through conventional Data Analytics techniques.


Data Analytics and AI in Real-world Examples

Fraud detection: By analyzing financial data, AI can identify suspicious transactions, such as banks employing AI to monitor credit card activities for signs of fraud.


Risk assessment: AI is utilized to analyze data, evaluate risks, and make predictions, like insurance companies leveraging AI to assess the likelihood of a customer filing a claim. This data helps in setting premiums and determining coverage limits.

Product recommendations: AI employs past purchase history, browsing behaviour, and other factors to offer personalized product recommendations to customers. For instance, Netflix employs AI to suggest movies and TV shows to its users.

Healthcare: Data analytics and AI enable medical data analysis, identifying significant patterns and trends that aid doctors in more precise disease diagnosis. Moreover, AI's capabilities extend to developing novel treatments and therapies, ushering in advancements in medical care.


Why should Malaysian professionals be interested in learning about Data Analytics and AI?


As Malaysia has stepped into the industrial revolution 4.0, Data analytics and AI activity is highly demanded.

As per a recent report conducted by IDC for MDEC, the big data and analytics sector in Malaysia is expected to experience remarkable growth, rising from US$1.1 billion (RM4.5 billion) in 2021 to US$1.9 billion (RM7.9 billion) by 2025. With the increasing prevalence of AI, businesses, and professionals are anticipated to gain significant advantages, though certain challenges may also emerge.


Arulkumar Singaraveloo, co-founder & CEO of Malaysia HR Forum, emphasized the potential influence of AI on the job market and cautioned that some job roles might be automated or substantially altered. Nevertheless, he stressed that AI is more likely to enhance human capabilities rather than entirely replace human professionals. Therefore, there is necessary to focus on upskilling and reskilling the Malaysian workforce to adapt and stay significant in the AI-driven economy.


Upskilling and reskilling can be done by sending professionals to training and certification programs!


Analytics and Data Management


The benefits of Data Analytics and AI for businesses


  1. Enhanced decision-making: By providing valuable insights into data, Data analytics and AI enable businesses to make informed decisions, uncover opportunities, optimize efficiency, and reduce costs that might otherwise remain hidden.

  2. Increased operational efficiency: Through task automation, Data analytics and AI liberate employees to focus on strategic responsibilities, leading to heightened organisational efficiency and productivity.

  3. Facilitated new product development: By identifying emerging trends and customer demands, Data analytics and AI aid businesses in creating innovative products and services, position them ahead of competitors, and foster business growth.

  4. Improved customer service: Understanding customer behaviour and preferences with the help of Data analytics and AI empowers businesses to deliver superior customer service, allowing for swift and efficient issue resolution.

  5. Effective risk mitigation: Data analytics and AI play a crucial role in identifying potential problems before they manifest, empowering businesses to proactively address challenges and safeguard their reputation while avoiding costly mistakes.


How to get started with Data Analytics and AI


What are the different types of Data Analytics and AI tools available?


Data Visualization: These applications enable users to visually represent data understandably, aiding in identifying trends and patterns within the data. Well-known data visualization tools encompass Tableau, QlikView, and Power BI.

Machine learning tools: These software solutions permit users to train models capable of learning from data and making predictions. They are beneficial for fraud detection, customer segmentation, and product recommendations. Prominent machine learning tools include sci-kit-learn, TensorFlow, and Keras.


Natural language processing tools: These applications facilitate the analysis of text data, supporting tasks like sentiment analysis, customer feedback assessment, and text classification. Some widely used natural language processing tools comprise spaCy, Stanford CoreNLP, and NLTK.

Business intelligence (BI) tools: These comprehensive applications offer a range of functionalities for data collection, storage, analysis, and visualization. BI tools serve various purposes, including reporting, forecasting, and decision-making. Notable BI tools encompass Microsoft Power BI, Qlik Sense, and Tableau.


AI training and certification

How to choose the right tools for your business?


Making the right choice of Data analytics and AI tools for your business can be overwhelming due to the many options available. Defining your goals and what you wish to achieve with Data analytics and AI is a crucial starting point. Evaluating the type and quality of your data is essential as it will impact the tools you can utilize. Considering your budget, including implementation and training costs, is vital. Opt for user-friendly tools, even if you lack technical expertise. Ensure that the selected tool can scale with your business's growth. Reading reviews from other users can provide valuable insights into different tools.


How do you train your employees to use Data Analytics and AI tools?


Here are some guidelines for effectively training your employees in the utilization of Data analytics and AI tools:


Commence by assessing your employees' current skill set and knowledge to identify any existing gaps. This evaluation will enable you to tailor the training program to their needs and requirements.


Develop a personalized training plan encompassing the essential skills and knowledge your employees need to acquire. Consider the most suitable delivery methods, in-person, online, or a blend of both, and establish a clear timeline for the training sessions.


Ensure your employees have access to the appropriate resources, including the necessary tools and training materials, such as books, articles, and instructional videos, to support their learning journey.


Promote an engaging and interactive training environment to keep employees motivated and enhance the effectiveness of their learning experience.


Encourage practical application of acquired knowledge by providing opportunities for employees to practice what they have learned through assignments or projects.


Regularly evaluate the training's effectiveness to identify potential areas of improvement and refine the program accordingly. This iterative process will ensure continuous growth and development for your Data analytics and AI employees.



Best Data Analytics and AI Training.


Certified Data Science Practitioner

Certified Data Science Practitioner

Certified Data Science Practitioner (CDSP) training is a vendor-neutral, industry-standard program to validate data science skills. Its purpose is to equip individuals with the ability to extract vital insights from vast data sets and leverage them to enhance organizational performance.


Why should you send your employees to CDSP training?

  • Data science is becoming increasingly important for businesses of all sizes.

  • CDSP training will give your employees the skills they need to work with data science, which can help them solve business challenges, reduce costs, increase productivity, and build customer bases and profiles.

  • CDSP training is also a great way to show your employees you are committed to their professional development.

What will your employees learn in CDSP training?

  • How to extract key insights from large amounts of data

  • How to use data science concepts to drive organizational performance

  • How to lead knowledgeable data science professionals and onboard new team members

  • How to use open-source, off-the-shelf tools to develop, test, and deploy data science solutions



Microsoft Power BI Data Modeling with DAX

Microsoft Power BI Data Modeling with DAX

DAX is a programming language specifically designed to create Power BI calculations that expand the capabilities of your data model. It is crucial in building efficient data models, whether utilizing Power BI Desktop, Power Pivot in Excel, or Analysis Services.


Why should you send your employees to this training?

  • DAX is a powerful tool that can help your employees create more sophisticated and informative Power BI reports.

  • This training will teach your employees how to use DAX to:

  • Add calculated columns

  • Build measurements

  • Use DAX logical and filter functions

  • Apply recommended practices for data model construction and optimization


What will your employees learn in this training?

  • The fundamentals of DAX

  • How to use DAX to create calculated columns and measures

  • How to use DAX logical and filter functions

  • How to apply recommended practices for data model construction and optimization



CompTIA Data+

CompTIA Data+

CompTIA Data+ is a Data Analytics certification for early-career professionals that gives you the confidence to implement data analysis and create data-driven business decisions.


Why should you send your employees to CompTIA Data+ training?

  • Data analytics is becoming increasingly important, and more job categories are needed to provide context and better explain critical business insight. Data collection, analysis, and reporting can help your company set priorities and make better business decisions.

  • CompTIA Data+ training will teach your employees the skills they need to succeed in Data Analytics.


What will your employees learn in this training?

  • The fundamentals of Data Analytics

  • How to collect, analyze, and report on data

  • How to use data to make informed business decisions

  • How to adhere to governance and quality standards throughout the data lifecycle



Certified Artificial Intelligence Practitioner

Certified Artificial Intelligence Practitioner

Certified Artificial Intelligence Practitioner (CAIP) training is a vendor-neutral, industry-standard program that validates AI and ML skills. It helps you lead AI experts, verify team members' capabilities, and gain hands-on experience as a Machine Learning Practitioner.


Why should you send your employees to CAIP training?

  • AI and ML are becoming increasingly important for businesses of all sizes.

  • CAIP training will give your employees the skills they need to work with AI and ML, which can help them solve business challenges, automate processes, reduce costs, and drive down completion times.

  • CAIP training is also a great way to show your employees you are committed to their professional development.

What will your employees learn in CAIP training?

  • How to apply various approaches and algorithms to solve business problems through AI and ML

  • How to follow a systematic workflow to develop sound solutions

  • How to use open source, off-the-shelf tools to develop, test, and deploy those solutions

  • How to ensure that their solutions protect the privacy of users



Microsoft Azure AI Fundamentals

Microsoft Azure AI Fundamentals

AI-900T00 is a Microsoft Azure certification course that introduces fundamental concepts related to artificial intelligence (AI) and the services in Microsoft Azure that can be used to create AI solutions.


Why should companies send their employees to this training?

  • Artificial intelligence (AI) is becoming increasingly important, and businesses that want to stay ahead of the competition need employees with the skills to build AI solutions.

  • AI-900T00 is a valuable certification that can help your employees gain the skills they need to be successful in the AI field.

  • AI-900T00 training is a great way to improve your business's AI capabilities and build innovative solutions.


What will your employees learn in this training?

  • The fundamentals of AI

  • The different types of AI solutions

  • The services in Microsoft Azure that can be used to create AI solutions

  • How to build and deploy AI solutions on Azure

Artificial Intelligence, Data Science and Machine Learning with Python

https://www.gemrain.net/product-page/ptn-107-artificial-intelligence-data-science-and-machine-learning-with-python

The PTN-107: Artificial Intelligence, Data Science and Machine Learning with Python training program is a comprehensive course that covers the latest machine learning algorithms and their applications. The course is taught in Python, which is a popular programming language for machine learning.


Why should companies send their employees to this training?

  • Gain the skills they need to work in the growing field of machine learning and artificial intelligence.

  • Stay up-to-date on the latest machine learning algorithms and their applications.

  • Improve their Python coding skills.

What will your employees learn in this training?

  • The basics of machine learning, including supervised learning, unsupervised learning, and reinforcement learning.

  • The latest machine learning algorithms, such as deep learning, natural language processing, and computer vision.

  • How to use Python to implement machine learning algorithms.

  • How to apply machine learning to real-world problems.



Conclusion


Data Analytics and AI are essential for Malaysian businesses to succeed in the digital age. Embracing these technologies will lead to valuable insights, increased efficiency, and data-driven decisions. To thrive, I encourage readers to undergo Data analytics and AI training and certification, empowering themselves for a prosperous future. Let's seize these technologies' opportunities and drive our businesses to new heights.



FAQ

How can Data Analytics and AI certifications help Malaysian professionals stay relevant in the job market?

By acquiring certifications in these cutting-edge technologies, Malaysian professionals can stay ahead of the competition, adapt to the demands of the fourth industrial revolution, and secure career advancement opportunities.

How can businesses benefit from encouraging their employees to pursue Data Analytics and AI certifications?

Are there any prerequisites for enrolling in Data Analytics and AI certification courses?











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