During the recent SAS Innovate on Tour event in Amsterdam, we had the opportunity to speak with Gavin Day, Executive Vice President at SAS, about the future direction and key areas of focus for their platform. SAS offers a wide range of technologies to support the AI and analytics lifecycle, but what are their strategic priorities moving forward?
Gavin Day shed light on SAS’s vision for further developing their platform. He emphasized that their primary goal is to empower organizations to leverage AI and analytics effectively to derive valuable insights and make informed decisions. To achieve this, SAS is committed to providing a comprehensive suite of tools and capabilities that cover the entire lifecycle of AI and analytics projects.
A key area of focus for SAS is democratizing AI and analytics. They aim to make these advanced technologies accessible to users with varying levels of technical expertise. This involves simplifying complex processes and workflows, enabling business users to harness the power of AI without relying solely on data scientists or IT specialists. By democratizing AI and analytics, SAS aims to foster a culture of data-driven decision-making across organizations.
Another crucial aspect highlighted by Day is the need to ensure trust and transparency in AI. As AI applications become more prevalent in various domains, it becomes essential to address concerns related to bias, fairness, and ethical considerations. SAS places great emphasis on building trustworthy AI models and algorithms that can be audited, interpreted, and explained. They understand the importance of accountability and are actively working on solutions that promote responsible AI usage.
In line with industry trends, SAS recognizes the significance of cloud-native technologies. They are investing heavily in cloud capabilities to provide scalable and flexible solutions for their customers. By leveraging the cloud, organizations can unlock the full potential of AI and analytics, accessing vast computing resources and benefiting from seamless integration with other cloud-based services.
Furthermore, SAS acknowledges the growing importance of automation and intelligence within analytics workflows. Their focus on augmented analytics aims to augment human capabilities with machine intelligence, enabling users to uncover deeper insights and accelerate decision-making processes. Through the integration of automation and AI-driven techniques, SAS aims to streamline repetitive tasks and allow analysts to focus on high-value activities.
Lastly, SAS prioritizes collaboration and ecosystem expansion. They recognize that successful analytics initiatives often require a diverse range of expertise and data sources. To facilitate collaboration, SAS is actively working on strengthening partnerships and integrations with other leading technology providers. By fostering an open and interconnected ecosystem, they aim to provide customers with seamless access to a wide array of tools and data, ultimately driving innovation and value creation.
In conclusion, SAS is committed to empowering organizations with advanced AI and analytics capabilities. Their strategic priorities revolve around democratizing AI, ensuring trust and transparency, embracing cloud-native technologies, promoting augmented analytics, and fostering collaboration within an expanding ecosystem. By focusing on these key areas, SAS aims to equip businesses with the necessary tools and resources to succeed in an increasingly data-driven world.
