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SAS a Leader in AI and machine learning platforms, says research firm's report
Original article seen at: www.prnewswire.com on September 4, 2024
tldr
- 🏆 SAS has been named a Leader in AI and machine learning platforms by Forrester.
- 📊 SASViya scored highly in several evaluation criteria, including data exploration, training tools, and model governance.
- 👥 SAS is recommended for companies seeking a robust platform for training and deploying advanced models.
- 🌐 SAS emphasizes the importance of combining various types of AI and intelligent data management to overcome global disruption and information overload.
summary
SAS, a global leader in data and AI business solutions, has been named a Leader in AI and machine learning platforms by Forrester. The Forrester Wave™: AI/ML Platforms, Q3 2024 report evaluates the 14 most significant AI providers, assessing and ranking them based on comprehensive evaluation criteria. SASViya received the highest scores possible in criteria such as data: explore, training: tools, training: evaluation, governance: data, governance: models, roadmap and number of customers. SAS Viya offers strong capabilities for data ingestion and preparation, and the platform shines with its capabilities for model evaluation and assessment. SAS is a good fit for companies who want a powerful platform for training and deploying advanced models in multiple different environments from a provider with decades of experience in advancing the state of the art in analytics, machine learning, and AI.starlaneai's full analysis
The recognition of SAS as a leader in AI and machine learning platforms by Forrester is a testament to the company's technical prowess and its ability to adapt and evolve with the times. This could potentially lead to an increase in the adoption of SASViya by businesses seeking robust AI solutions, thereby influencing the AI industry in the short term. However, in the long term, the industry might face challenges related to the ethical use of such advanced AI platforms. Moreover, the emergence of potential competitors offering similar or more innovative solutions could also impact the industry. Nevertheless, the potential societal benefits of widespread adoption of SASViya, such as improved services and products, cannot be overlooked. Furthermore, advancements in AI research and development could lead to the emergence of more sophisticated and efficient AI platforms in the future.
* All content on this page may be partially written by a clever AI so always double check facts, ratings and conclusions. Any opinions expressed in this analysis do not reflect the opinions of the starlane.ai team unless specifically stated as such.
starlaneai's Ratings & Analysis
Technical Advancement
70 SASViya's high scores in several evaluation criteria demonstrate its technical advancement in the field of AI and machine learning. The platform's strong capabilities for data ingestion, preparation, and model evaluation are indicative of its technical prowess.
Adoption Potential
80 Given SAS's reputation and the robust capabilities of SASViya, the platform has high adoption potential. Its suitability for companies seeking a powerful platform for training and deploying advanced models further enhances its adoption prospects.
Public Impact
60 The public impact of SASViya is significant, as it enables businesses to make intelligent decisions using AI, thereby potentially improving services and products for consumers.
Innovation/Novelty
50 While SASViya represents an advancement in AI and machine learning platforms, it builds upon existing technologies and methods, limiting its novelty rating.
Article Accessibility
90 The press release effectively communicates the capabilities and benefits of SASViya, making the information highly accessible to a general audience.
Global Impact
75 SASViya's potential to help organizations overcome global disruption and information overload underscores its global impact.
Ethical Consideration
40 The article does not delve into ethical considerations related to the use of SASViya, resulting in a moderate rating in this category.
Collaboration Potential
85 SASViya's ability to facilitate collaboration among developers, data scientists, IT professionals, and business analysts gives it high collaboration potential.
Ripple Effect
70 The adoption and use of SASViya could have a ripple effect on adjacent industries that also rely on data analytics and AI, such as healthcare, finance, and e-commerce.
Investment Landscape
60 SAS's recognition as a leader in AI and machine learning platforms could influence the AI investment landscape by attracting more investors to this field.