{"id":8562,"date":"2024-04-24T13:16:12","date_gmt":"2024-04-24T13:16:12","guid":{"rendered":"https:\/\/popularreads.co\/expanded-sas-viya-uses-generative-ai-to-accelerate-customer-productivity\/"},"modified":"2024-04-24T13:16:12","modified_gmt":"2024-04-24T13:16:12","slug":"expanded-sas-viya-uses-generative-ai-to-accelerate-customer-productivity","status":"publish","type":"post","link":"https:\/\/popularreads.co\/?p=8562","title":{"rendered":"Expanded SAS Viya uses generative AI to accelerate customer productivity"},"content":{"rendered":"
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\n \t<\/i> Read Time:<\/span>5 Minute, 27 Second <\/div>\n\n <\/div>

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Leading data and AI platform helps explain and integrate large language models to augment existing processes; SAS Data Maker will address critical challenges without compromising sensitive data<\/span><\/span><\/p>\n

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Mumbai, April 24, 2024\u00a0<\/span><\/i>– So many organizations have jumped on the\u00a0<\/span><\/span>generative AI<\/u><\/strong><\/span><\/span><\/a>\u00a0(GenAI) bandwagon in the last year, but are those efforts delivering results yet? If the organization uses the SAS\u00ae Viya\u00ae data and AI platform, the answer is a resounding yes. Infused with large language model (LLM) orchestration strength, SAS Viya is already helping customers accelerate efficiency and productivity. Throughout 2024, SAS will continue delivering innovation by broadening its trustworthy GenAI footprint with the introduction of its own synthetic data generator \u2013 SAS Data Maker \u2013 and by offering industry-specific GenAI assistants.\u00a0<\/span><\/span><\/p>\n

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\u201cSAS\u2019 guiding principle is everyone should be able to query data and perform complex analytical operations in every phase of the data and analytics life cycle, and generative AI is crucial in this democratization journey,\u201d said Wiktor Markiewicz, Senior Market Research Analyst at IDC. \u201cBut most leaders don\u2019t understand AI technology and how they can apply it meaningfully. Having an already trusted data and AI platform available removes the guesswork and kickstarts the generative AI journey.\u201d\u00a0\u00a0<\/span><\/span><\/p>\n

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Georgia-Pacific and wienerberger rely on SAS Viya for AI and GenAI capabilities<\/strong><\/span><\/span><\/p>\n

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Manufacturer Georgia-Pacific is a SAS customer using Viya. \u201cWhen challenges emerge with our manufacturing equipment or process, we leverage sensor data, business rules, recommender systems and generative AI to suggest the appropriate next best action and resolve the problem,\u201d said Roshan Shah, Vice President, Collaboration & Support Center, Georgia-Pacific. \u201cStreaming analytics and intelligent decision management support from SAS Viya helps us capture immediate value by making the right decisions as events occur.\u201d\u00a0<\/span><\/span><\/p>\n

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About Georgia-Pacific, SAS Executive Vice President and CTO Bryan Harris said, \u201cOne of SAS\u2019 core strengths is our deep bench of industry knowledge. We understand manufacturing, and we understand Georgia-Pacific\u2019s unique challenges. We help them appropriately scale LLM orchestration and manufacturing-specific GenAI assistant strategies so their employees can use those cutting-edge applications to troubleshoot real-time operational issues.\u201d<\/span><\/span><\/p>\n

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Global brick manufacturer wienerberger also uses SAS for AI support. The company reduces energy consumption, cuts greenhouse gas emissions and improves product quality using SAS on Microsoft Azure. “We use AI and IoT analytics from SAS to connect all our data streams and analyze the entire production process,”\u00a0says Florian Zittmayr, Team Lead for Data Science at wienerberger. “SAS Analytics brings intelligence to the kiln by helping our engineers and employees to gain valuable information about each step and identify specific target values to make the drying and firing of bricks more economical.”\u00a0<\/span><\/span><\/p>\n

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And a global consumer goods manufacturer uses Viya and its GenAI capabilities to optimize warehouse space, allocate inbound shipments and compare \u201cwhat-if\u201d scenarios based on product demand. SAS helped develop an LLM-based digital assistant by dynamically updating SAS Visual Analytics dashboards so the company\u2019s supply chain teams can easily save time and improve warehouse space usage with in-depth analytics. This conversational assistant allows both technical and business users to generate fast and accurate results and improve decision making using SAS\u2019 trustworthy, explainable analytics.\u00a0<\/span><\/span><\/p>\n

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Organizations are enthusiastic about adopting and deploying GenAI, but there\u2019s often a gap between preparedness and execution. Learn more by reading the US Executive<\/span><\/span> Summary\u00a0<\/span><\/span>from a new study:\u00a0<\/span><\/span>Generative AI Challenges and Potential Unveiled: How to Achieve a Competitive Advantage<\/strong><\/span><\/i><\/span><\/a>.<\/span><\/span><\/p>\n

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SAS Viya stands out in the GenAI crowd because of pragmatic, industry-driven applications<\/strong><\/span><\/span><\/p>\n

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As organizations explore GenAI, SAS prioritizes identifying industry-driven and ethically applied use cases. SAS enables secure adoption and fosters accelerated productivity and trusted results across diverse industries and regulatory landscapes. SAS\u2019 GenAI functionality lives in leading products like Viya and SAS Customer Intelligence 360:\u00a0<\/span><\/span><\/p>\n

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