Albert Qian is a Product Marketing Manager focused on technology partnerships at SAS Institute, focusing on the value of integration for uncovering business insights and decision-making. Located in Silicon Valley, Albert has been around technology his entire life and enjoys telling the story of its transformative power in all aspects of life.
Making a big purchase, such as a car or home, can be stressful for everyone involved, from doing the due diligence to identifying a good lender. Everyone wants to make the process smooth while mitigating risks. Banks and lenders also have more data to work with when making a lending
Making informed decisions quickly is more critical than ever. As markets shift and customer expectations evolve, companies need tools to process vast data and turn insights into actionable strategies. That’s where SAS Decision Builder comes in, now available through Microsoft Fabric's public preview announced at Microsoft Ignite. With SAS Decision
You’ve collected your data, organized it, and created a model to help you understand what you’re working with. Now what? For many organizations, the next step isn’t so clear. Only 50% of models ever make it to production, which means many aren’t even realizing the value of their investment. One
SAS Decision Builder is a decision intelligence solution, which means that it uses machine learning and automation to augment human decision-making for better and faster insights that drive tactical and strategic business decisions. It’s a cousin to business intelligence and the next step after data engineering and model training, completing the analytics lifecycle to help achieve business goals.
Social benefits are crucial government services, especially during downturns, helping families navigate uncertainty and survive. Today, citizens interact with government services online, from applying for benefits to making appointments. This was particularly beneficial during the COVID-19 pandemic, allowing services to remain accessible while maintaining social distance. However, going digital also
Synthetic data generation has intrigued across industries for its many use cases, including fraud detection, clinical trials, worker safety and law enforcement. One of the main benefits is the low cost of creating synthetic data, which is often cheaper than collecting actual demographic, psychographic or behavior-based information. With such data,
Over the past year, business leaders and technical minds have delved into the potential of generative AI (GenAI) beyond creative tasks like writing fun poems or generating silly images. We’ve been part of these conversations, actively exploring how GenAI can be used to help organizations manage their data, derive insights
The ability of an organization to make informed decisions swiftly and accurately is crucial. Organizations across various industries rely heavily on advanced technologies to navigate complex data and enhance customer experiences. Decision trees and large language models (LLMs) are two technologies that play pivotal roles in empowering organizations to make
From the collapse of Silicon Valley Bank to sky-high interest rates, 2023 was a roller coaster year for financial services. In 2024, there’s hope for greater calm as leaders try to maintain customer satisfaction, industry trust and stability. Bringing about a sense of calm while maintaining business integrity requires a
The holiday season has arrived, culminating in celebrations across various cultures. It will be a time of creating a memorable feast that brings family and friends together at the dinner table. No matter what you’re celebrating this holiday season, food will be a part of the equation, including a complex
It’s easy to get overwhelmed by an onslaught of customer data. With so many data points, organizations need to find and effectively utilize the insights that help them better serve their customers. AI has only increased the stakes, creating more pressure to develop delightful customer experiences, build operational efficiencies and
With SAS® Viya® and Snowpark Container Services (launching in private preview), organizations can tap into the full potential of their data and use it to improve revenue, increase margins, operate more efficiently and exceed customer expectations.
Humanity collectively creates 2.5 quintillion bytes of data daily, presenting incredible opportunities for organizations—especially those who collect it in the cloud. Cloud-based data offers excellent insights for organizations, including a meaningful look at customer needs and operational improvements. However, these benefits come with risks, especially regarding security. According to IBM
