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SAS Viya: Revolutionizing AI Productivity for US Businesses

A groundbreaking study by Futurum Group reveals how SAS ⁣Viya is dramatically increasing productivity for data and AI teams across the ⁤United States. This ‌powerful platform empowers companies to accelerate⁣ decision-making, slash costs, and substantially boost revenue. The study’s findings⁢ are ⁣compelling: SAS Viya demonstrates a remarkable 4.6 times greater⁢ productivity compared to leading competitors.

the research⁤ compared SAS Viya against a range of commercial ⁣and open-source alternatives, including⁢ popular choices like⁤ Jupyter Notebook with ⁢MLFlow ‌and Python⁤ libraries. The results consistently showed Viya streamlining the entire data lifecycle – from⁣ initial data collection ⁣and model creation to the final implementation of data-driven decisions. This efficiency translates to faster business results and a more agile response to market fluctuations.

“Tests have‌ shown that end-to-end data lifecycle and AI can be achieved in SAS Viya with⁣ 4x higher productivity than competing solutions,” states Russ Fellows, vice president and analyst at Futurum ‌Group. ‌He⁤ further ‌emphasizes, “The ability to ‍start quickly,⁤ combined with the productivity offered by SAS Viya, enables AI teams ​to quickly achieve ⁣business results and​ gain insights⁢ from data.”

The‌ benefits​ extend beyond technical ⁤users. Futurum’s analysis highlights notable​ productivity gains across various roles. data engineers experience up to a 16x⁢ increase in efficiency when using Viya for data access, preparation, and management. ⁤Data scientists see a 3.5x boost in model building,‌ optimization, and‌ validation. MLOps engineers benefit‌ from ⁢a 4.5x enhancement in automating, analyzing, ‍and retraining models. Even business analysts and othre non-technical staff can leverage Viya’s tools to handle up to 86% of data lifecycle tasks, compared ‍to just ‌56% and 47%⁢ for competing commercial ​and open-source solutions, respectively.

The adaptability and resilience offered by Viya are ‌key to its success. Jay Upchurch, SAS Executive Vice President and CIO, ‌explains, “with Viya, you ⁤gain a competitive advantage. By making ⁤your AI run faster ​on the Viya platform, your teams learn‍ more‌ efficiently and productively, which means results are seen faster. Viya will therefore provide your organization‍ with the necesary agility and flexibility, thanks ‌to which you will discover work opportunities‍ before the competition – whether it is ⁣approving customer requests for car loans, ⁣ensuring train safety, or optimizing the distribution of goods from retail distribution centers.”

For US businesses seeking to harness the power of AI and data analytics, SAS Viya emerges as a leading platform for enhanced productivity, accelerated decision-making, and access to advanced analytical tools. Its ‍proven ability to deliver ​significant ‌returns on investment makes it a compelling solution for organizations of⁣ all‍ sizes.


SAS Viya: Supercharging ⁢AI Productivity for US ‍Businesses





A‌ recent study by Futurum Group‍ reveals how SAS Viya‍ is ⁣transforming AI productivity for businesses across the⁢ United ​States. This⁢ powerful platform is enabling companies to accelerate ⁣decision-making,reduce costs,and substantially increase revenue. The study’s findings are compelling: SAS Viya delivers​ a remarkable 4.6 times greater productivity compared ⁣to leading competitors.





Revolutionizing Data⁣ Science Workflows





Senior Editor: Welcome to World Today News, Dr.Emily Carter. Dr. Carter‌ is a recognized expert in data science and AI implementation strategies. dr. Carter, can you tell us what makes SAS Viya stand out in the rapidly evolving field of AI?





dr. Emily Carter: Thank you for having me.⁤ What truly sets SAS Viya apart is its ability to streamline⁣ the entire⁤ data science ⁤lifecycle. From data collection and ⁢readiness to model building and deployment, Viya provides a ​extensive and integrated ‌platform. This unified approach eliminates the silos often found in customary workflows, significantly boosting efficiency ⁢and productivity.





Quantifiable Productivity​ Gains





Senior editor: The Futurum‌ Group study highlighted some extraordinary​ statistics. Can you elaborate on ‌the productivity improvements⁢ businesses are seeing with SAS Viya?





Dr. Emily Carter: Absolutely.The study found that SAS Viya enables data engineers to⁤ be up to 16​ times⁣ more ⁢efficient. Data scientists see a 3.5x boost in model building, optimization, and validation. Even MLOps engineers experience a​ 4.5x improvement in automating and managing models. These gains are truly remarkable.





Democratizing Data Science





Senior editor: That’s amazing! Does⁤ Viya make AI more accessible to non-technical roles within organizations?





Dr. Emily Carter: Definately. viya’s intuitive ⁤interface and robust tools ‍empower business analysts and other non-technical users to handle a notable portion of data lifecycle ⁤tasks – up to 86%, compared to 56% and 47% for competing solutions. This‍ democratization of data science is‌ key to unlocking ⁢the full potential of‌ AI within⁣ organizations.







Competitive Advantage Thru Agility





Senior Editor: How⁣ does Viya translate into real-world business ⁣advantages?





Dr. Emily⁤ Carter: Viya’s ​ability to accelerate AI advancement gives businesses a ‌significant competitive advantage. ‍They can make faster, more informed decisions ‌based on data-driven insights, ‍allowing‍ them to react quickly to market changes and capitalize on new opportunities. Imagine a​ company being ​able to approve loan requests or ensure train safety with greater speed and accuracy – that’s the power of ‍Viya.





The future of AI-Driven Business





Senior⁢ Editor: Thank you, Dr. Carter. Your insights are invaluable.‍ What does the future hold for AI in the business world?





Dr.Emily Carter: The future is bright. As platforms like SAS Viya continue to evolve, we’ll see AI become even more integrated‌ into business operations. This will lead to greater‌ efficiency, innovation, and ultimately, a ​more data-driven future.

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