Albert Qian, Author at SAS Blogs

Albert QianJune 25, 2024 0

3 approaches to strengthening your social benefits program

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

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Government

Artificial Intelligence

Albert QianJune 4, 2024 0

3 benefits to creating synthetic data with SAS and Snowflake

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,

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Analytics | Innovation

Albert QianApril 17, 2024 0

3 ways you can use a copilot in SAS®

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

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Advanced Analytics | Customer Intelligence

Albert QianApril 8, 2024 0

How to become more operationally efficient with decision trees and large language models

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

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Risk Management

Albert QianFebruary 23, 2024 0

3 strategies for navigating financial turbulence in 2024

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

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Banking

Advanced Analytics

Albert QianDecember 14, 2023 0

3 reasons why Model Manager and Intelligent Decisioning are the perfect analytics pairing

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

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Analytics

Albert QianNovember 15, 2023 0

SAS Decision Builder integration with Microsoft Fabric opens a world of opportunities

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

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Data Management

Albert QianJune 27, 2023 0

3 ways organizations can use SAS® and Snowflake to do more with their data

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.

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Advanced Analytics | Analytics | Artificial Intelligence

Albert QianMay 23, 2023 0

How SAS and Microsoft are using the power of partners to protect data in the cloud

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

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