SAS Innovate Unveils Advancements in Generative AI and Robust Data Platforms
In a significant stride toward enhanced data processing capabilities, SAS has recently amplified the power of their SAS® Viya® data and AI platform. This enhancement comes with the integration of large language models (LLMs), which has been designed to boost customer efficiency and productivity.
The year 2024 has been marked by the launch of SAS Data Maker, a tool developed by SAS to address critical challenges and ensure the protection of sensitive data. This latest offering is anticipated to bolster SAS’s presence in the generative AI (GenAI) space and pave the way for enduring innovation.
IDC’s senior market research analyst Wiktor Markiewicz has emphasized the essence of GenAI in the democratization of data analysis. He cited the significant role of GenAI in the widespread adoption and complex analysis throughout the data analysis lifecycle. Furthermore, reliable data and AI platforms are key to dispelling concerns and embarking on the GenAI exploration journey.
Leading manufacturers, including Georgia-Pacific and wienerberger, rely on the AI and GenAI capabilities of Viya. Roshan Shah, VP of the Collaboration and Support Center at Georgia-Pacific, shared that their best course of action when facing production issues is to utilize the GenAI-powered decision-making support provided by SAS Viya. This approach affords them the capability to make accurate, real-time decisions.
SAS’s Vice President and Chief Technology Officer Bryan Harris pointed out their deep industry expertise as one of their core strengths. This unique understanding allowed SAS to empower Georgia-Pacific’s workforce with the right GenAI strategies to resolve operational challenges swiftly.
Globally recognized brick manufacturer wienerberger has also utilized SAS’s AI support to reduce energy consumption and greenhouse gas emissions while enhancing product quality. Florian Zittmayr, the head of wienerberger’s data science team, reported success in connecting data flows and analyzing the entire production process with the aid of SAS Analytics.
In addition to manufacturers, a global consumer goods producer has leveraged Viya and its GenAI capabilities for optimizing warehouse space, efficiently allocating incoming goods, and assessing different ‘what-if’ scenarios according to product demand. By dynamically updating the SAS Visual Analytics dashboard, SAS aided the development of a digital tool based on LLMs. This tool allows the company’s supply chain team to save time and improve the utilization of warehouse space through in-depth data analysis.
As enterprises increasingly adopt GenAI, the industry is recognizing the gap between enthusiasm and readiness. SAS continues to bridge this gap by infusing GenAI capabilities into its leading products, including Viya and SAS Customer Intelligence 360, thereby ensuring data security and delivering trustworthy and interpretable results. SAS Innovate has been a crucial event spotlighting these breakthroughs, inviting business leaders, technologists, and SAS partners to experience the convergence of data and AI.
For comprehensive insights, follow @SASsoftwareNews on Twitter and stay updated on the latest from SAS, the global leader in AI and analytics solutions empowering businesses with the power to know.
Fact Additions Relevant to the Topic:
– The integration of Large Language Models (LLMs) within SAS Viya is a testament to the growing trend where analytics platforms are leveraging natural language processing (NLP) for improved user interaction and analytics automation.
– GenAI technology has seen broad applications across various sectors besides manufacturing, such as healthcare, finance, and retail, where it enables organizations to generate novel insights, automate complex data-driven processes, and create synthetic data for research and training purposes.
Key Questions and Answers:
1. What impact does the integration of LLMs into SAS Viya have on data analytics?
LLM integration allows users to interact with the analytics platform in natural language, simplifying complex queries and improving accessibility for non-technical users. It reduces the data analysis lifecycle and offers decision-making support in near real-time.
2. What type of GenAI capabilities does SAS Viya offer, and how do they assist businesses?
Viya’s GenAI capabilities include generating synthetic data, automating analytics processes, and providing real-time decision-making support, all of which can help businesses in optimizing operational efficiency, anticipating market trends, and solving complex problems.
3. How does SAS Viya ensure the protection of sensitive data?
SAS Viya incorporates advanced data governance and privacy measures to protect sensitive data. The newly launched SAS Data Maker tool specifically addresses data protection challenges by generating high-quality synthetic data that can be used for analytics without compromising privacy.
Key Challenges and Controversies:
One key challenge is ensuring data privacy and security, especially when synthesizing new datasets from sensitive information. Adequately addressing ethical concerns regarding the use of AI and GenAI techniques is also a challenge. Additionally, there is the challenge of integrating these advanced tools with existing IT infrastructure. A controversy in the field often revolves around the potential displacement of jobs due to increased automation and reliance on AI systems.
Advantages and Disadvantages:
Advantages:
– Improved efficiency and productivity in data analysis.
– Greater accessibility for a wider range of users, including those with little to no coding expertise.
– Enhanced decision-making support through the generation of synthetic data and advanced AI analytics.
– Ability to perform complex analysis and ‘what-if’ scenarios for better strategic planning.
Disadvantages:
– Potential for data privacy issues.
– The requirement for robust governance frameworks to ensure the ethical use of AI.
– The complexity of integrating AI and analytics into existing systems.
– Risk of over-reliance on AI, potentially leading to a skills gap in traditional data analysis.
Suggested Related Links:
– For more information on SAS Viya and its capabilities, visit SAS.
– To explore the current trends and discourse on AI and analytics, visit the official Twitter account @SASsoftwareNews.
The source of the article is from the blog lokale-komercyjne.pl