5 Ways AI Can Transform Your SAS Viya Analytics

In today’s data-driven world, businesses are constantly bombarded with information. While SAS Viya provides a powerful platform for data analysis, extracting valuable insights can still be a time-consuming and resource-intensive task. This is whereArtificial Intelligence (AI) steps in, offering a transformative approach to your SAS Viya analytics.

Here at Woodpecker, we believe AI is the key to unlocking the full potential of your data. By integrating AI capabilities into SAS Viya, you can streamline workflows, automate tedious tasks, and gain deeper, more actionable insights from your data. Let’s explore five key ways AI can revolutionize your SAS Viya analytics:

Automated Data Exploration and Preparation:

Say goodbye to lengthy data cleaning and preparation processes. AI-powered tools can automate tasks like:

• Data Cleaning:Identifying and correcting inconsistencies, missing values, and outliers in your data sets.
• Feature Engineering:Automatically creating new features from existing data that can improve the accuracy of your models.
• Data Transformation:Transforming data into the format needed for specific analyses, saving you valuable time.

This automation frees your data scientists from repetitive tasks, allowing them to focus on more strategic initiatives.

Enhanced Pattern Recognition and Predictive Analytics:

AI algorithms excel at identifying complex patterns and relationships in your data that manual analysis might miss. This translates to:

• Improved Accuracy:AI-powered models can learn from vast datasets to deliver more accurate predictions and forecasts.
• Uncovering Hidden Insights:AI can identify subtle patterns that could lead to groundbreaking discoveries you might not have considered.
• Advanced Anomaly Detection:AI can detect anomalies in real-time, allowing you to proactively address potential issues.

By harnessing the power of AI, you can make more informed decisions based on data-driven insights, not just intuition.

Streamlined Model Building and Optimization:

Building and refining machine learning models can be an iterative process. AI can significantly improve this workflow by:

• Automated Feature Selection:AI can identify the most relevant features for your model, eliminating irrelevant data and reducing overfitting.
• Hyperparameter Tuning:AI algorithms can automatically optimize model parameters for best performance, saving you time and effort.
• Model Selection and Comparison:AI can suggest and compare different model types based on your data and objective, aiding in finding the optimal model.

With AI assistance, you can build robust and accurate models more efficiently, leading to faster and more reliable results.

Natural Language Processing (NLP) for Richer Data Analysis:

Textual data often holds valuable insights, but manual analysis can be cumbersome. NLP empowers AI to analyze unstructured data like:

• Customer Reviews:AI can extract sentiment and key topics from customer reviews to improve product offerings and customer satisfaction.
• Social Media Data:AI can analyze social media conversations to understand customer sentiment and brand perception.
• Internal Documents:AI can extract key information from internal documents to improve workflows and decision-making.

By incorporating NLP into SAS Viya analytics, you can unlock insights hidden within your unstructured data, leading to a more comprehensive understanding of your business landscape.

Generative AI: Unlocking Unforeseen Possibilities

Generative AI marks a significant leap forward in AI technology. It allows AI to create new data, like text, images, or code, based on existing data patterns. In the context of SAS Viya, this opens up exciting possibilities:

• Data Augmentation:Generative AI can create synthetic data sets to improve model training in cases where real data might be limited.
• Data Imputation:AI can generate realistic missing data points, improving the completeness and accuracy of your analyses.
• Scenario Planning:Generative AI can simulate different future scenarios based on existing data trends, allowing you to make data-driven decisions under uncertainty.

While Generative AI is still evolving, its potential to revolutionize SAS Viya analytics is undeniable.

Conclusion:

AI is no longer a futuristic concept – it’s a powerful tool ready to transform your SAS Viya analytics today. Woodpecker offers cutting-edge AI solutions seamlessly integrated with SAS Viya, empowering you to streamline workflows, unlock deeper insights, and make data-driven decisions with confidence. Let’s discuss how we can help you harness the power of AI for your business. Contact us at Woodpecker today and see the future of business analytics come alive.