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July 07.2025
3 Minutes Read

Discover Top AI Influencers: Join the Conversation for AI Learning

Futuristic digital binary code representing AI learning with bokeh effect.

Unveiling the Faces of AI Innovation

In an era where artificial intelligence (AI) is transforming industries at an unprecedented pace, understanding the influencers shaping this technology is crucial for anyone interested in AI learning. Recently, Iain Brown, the Head of Data Science for Northern Europe at SAS, was celebrated for his contributions to this field, being recognized as one of the top 100 AI influencers on X/Twitter. His ranking at number 36 is a testament to his expertise, but he represents just a fraction of the talent available in the SAS community.

This article highlights a selection of remarkable professionals whose insights can facilitate deeper understanding in the realm of AI. By engaging with these leaders, individuals keen on an AI learning path can gain invaluable perspectives and expand their knowledge base.

Meet the Influencers Changing the AI Landscape

Among the featured experts is Bryan Harris, Chief Technology Officer, who helps drive strategic technology initiatives at SAS. His work focuses on harnessing AI's capabilities to enhance business operations. Jared Peterson, Senior Vice President of Platform Engineering, contributes critical insights into the development of AI-driven platforms that empower users to leverage data in new ways.

Marinela Profi, the Global AI & Generative AI Market Strategy Lead, is another voice worth noting. Her strategies shape how businesses can utilize generative AI to foster creativity and innovation. Udo Sglavo, Vice President of Applied AI & Modeling R&D, combines research with real-world applications, illustrating AI's potential. Experts like Kimberly Nevala and Reggie Townsend contribute to critical discussions around AI ethics and governance, ensuring that developments in AI technology are both responsible and beneficial to society. Nevala, the host of the Pondering AI podcast, shares insightful conversations addressing the multifaceted implications of AI advancements.

The Value of Engaging with AI Experts

Joining the conversation with these influencers not only enriches one's understanding of AI but also fosters connections within the tech community. Through social platforms and blogs, individuals can access a wealth of information that demystifies AI science, making complex concepts more digestible. This access is essential for anyone considering an AI learning path or seeking to integrate AI solutions within their organizations.

Current Trends Shaping AI Discussions

Understanding prevailing trends in AI is vital for informed engagement. One such trend is the rise of generative AI, which is enabling businesses to create dynamic content and harness AI’s potential for problem-solving in creative ways. As reported, the landscape of AI is evolving rapidly, and staying ahead requires continuous learning and adaptability.

Moreover, ethical considerations around AI deployment are becoming increasingly prominent. Influencers like Steven Tiell and Josefin Rosen emphasize the importance of trust and governance in AI applications, ensuring that systems built on AI are used ethically and transparently.

Future Prospects in AI Learning

As AI continues to develop, it's essential for individuals and businesses alike to keep an eye on emerging technologies and innovations. Engagement with these AI influencers can illuminate new learning opportunities, projects to follow, and strategies for success in incorporating AI into various sectors.

Call to Action: Join the AI Learning Community

If you’re passionate about understanding the future of AI, now is the perfect time to dive into the insights provided by these thought leaders. Engage with their content, attend AI discussions, and immerse yourself in this rapidly evolving field. The journey of AI learning awaits!

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08.21.2025

Unlock AI Success: Four Essential Components for Decision-Making

Update Understanding Decision-Making in the Age of AI In a world overflowing with data, organizations are tasked with one significant challenge: not merely gathering data, but operationalizing it effectively to enhance decision-making processes. Whether in retail, finance, or manufacturing, the crux of success in analytics lies in the ability to convert insights into actionable strategies. While platforms like SAS® Viya® facilitate this transition, organizations must grasp the four essential components that together form the backbone of decision-making frameworks. Data: The Bedrock of Effective Decisions Any informed decision begins with robust data. However, it’s crucial to understand that raw data alone won’t suffice. Organizations must establish clean, governed, and readily accessible data pathways that can effectively support the decisioning process. Reliable data ensures actionable insights, accurate models, and appropriate governance. The challenge of data management is to guarantee that the right information reaches the right people at the right time. This is the primary hurdle for many companies, which often struggle in the initial steps of data governance, confusion in data sources, and reliance on outdated information. Models: Turning Data into Intelligence Once clean data is in hand, organizations must leverage analytic models to derive valuable insights. Predictive analytics can illuminate patterns, forecast outcomes, and allow for the exploration of alternatives prior to resource commitment. Yet, the effectiveness of these models depends on ongoing monitoring and alignment with business goals. Companies often face challenges in ensuring their models remain fair, accurate, and relevant. A continuous review process is essential to adapt to shifts in business objectives and external market factors. The Importance of Governance in AI Fast decisions can be beneficial, but the accuracy of those decisions is paramount. Governance lays the groundwork for responsible AI deployment, ensuring that decisions are made transparently and in compliance with organizational strategies. By establishing a framework of policies, processes, and controls, organizations can safeguard against faulty actions. Good governance supports thorough documentation and validation processes, allowing organizations to uphold ethical standards and avoid decision-making pitfalls. Governance provides not just a structure but also the peace of mind that comes with knowing decisions have been vetted against crucial metrics. Business Rules: The Logic Underpinning Actions The real-time decisions made by organizations are guided by business rules — the critical logic that supports action. These rules can range from straightforward directives (like approving a transaction) to more complex processes aligned with specific business realities. Establishing clear business rules helps ensure that decisions are coherent, contextually relevant, and properly executed. However, organizations often overlook the need to update these rules consistently, which can lead to outdated practices that don't reflect current business needs or market conditions. Bridging Insights to Action: Operationalizing Analytics While technologies such as SAS® Viya® offer substantial advantages in operationalizing analytics, the focus should not solely be on tools but rather on the holistic integration of data, models, governance, and business rules. It’s the harmonious connection between these elements that empowers organizations to make agile, insightful decisions at scale. As businesses continue to evolve in their approach to AI and data analytics, understanding these components will be key to unlocking the full potential of information at their disposal. To move forward effectively, businesses must not only invest in technology but also cultivate a culture that embraces analytics as a core component of decision-making. Emphasizing the relevance of data governance, model adaptation, and sustainable business rules will create a sturdy infrastructure capable of sustaining smart, quick decisions.

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Unlocking AI Learning Paths: Key Insights from SAS Innovate on Tour 2025

Update The Unfolding AI Revolution: Insights from SAS Innovate on Tour 2025 On July 24, 2025, the SAS Innovate on Tour Tokyo 2025 concluded with considerable success, as highlighted by the company’s representative, Chikara Tejima. This year marked a significant milestone as SAS Japan celebrated its 40th anniversary, allowing the event to showcase the growing importance of AI and data analytics in today's business landscape. Data-Driven Decision Making: The Heart of Innovation SAS believes firmly that data alone does not generate value; rather, the power of decision-making fuels that value. By linking data to actionable insights, businesses can unleash innovative potentials. This year’s event emphasized “human-centered innovation,” where executives and front-line workers alike explored how AI can enhance organizational responsiveness and decision-making processes. Panel Discussions: Leaders Share Clear Insights The event featured a series of impactful panel discussions with key figures from major companies such as Sony Bank, Chugoku Bank, and Tokio Marine Holdings. These leaders focused on the massive volumes of data being generated and how companies need to embrace data literacy and empower their teams. The conversation underscored the idea that while technology drives data generation, it is people who ultimately create value through their scenarios and judgments. For instance, the revolutionary idea of embedding "emotional value" into financial products illustrates how empathy can be integrated into analytics, transforming mere functional value into meaningful experiences for customers. The Future of AI Learning Paths: Navigating New Trends As AI technology continues to evolve, so too does the path towards mastering it. Organizations looking to harness AI capabilities must invest in comprehensive AI learning paths. This involves not just technical training but also fostering a culture of continuous learning that engages employees at all levels. Providing resources that promote understanding and application of AI science can play a pivotal role in shaping a workforce capable of navigating the complexities of modern technologies. Actions to Take: Drive Your AI Strategy Forward To stay ahead, businesses need to prioritize the establishment of strong data pipelines. These pipelines should be driven by insightful questions and knowledge from decision-makers, rather than just a technology-first approach. By focusing on the actual needs of businesses, companies can build relevant data infrastructures that empower their teams. Conclusion: Embrace the Change and Lead with Data The SAS Innovate on Tour Tokyo 2025 served as a reminder that embracing AI and data analytics is key to future success. Companies that understand and implement strategic decision-making processes, backed by robust data solutions, will not only survive but thrive. If you’re keen to delve deeper into the world of AI technology and elevate your organizational strategies, now is the time to take action. Start exploring how you can leverage AI in your organization today!

08.20.2025

The Future of AI Learning: How Actionable Analytics Drives Student Growth

Update Unlocking Student Potential with Actionable Analytics In today's rapidly evolving educational landscape, districts seeking to enhance student outcomes are turning to actionable analytics as a means to identify and foster academic growth. The Center Point-Urbana Community School District in Iowa exemplifies this trend, as it partnered with SAS® Education Visualization and Analytics Solution (EVAAS) to reimagine its support for student learning. Transformative Insights for Educators Prior to implementing EVAAS, Center Point-Urbana struggled with limited data sources that failed to provide timely insights necessary for intervention. Acknowledging the need for a solution, Melissa Hocking, the Director of School Improvement and Special Services, expressed the district's quest for usable data: "We were really looking at something that would give us information about student growth in a usable way. And, finally, here it was.” The Power of Early Identification One of the most significant benefits of EVAAS is its ability to identify students needing support at an early stage. The district can leverage detailed student projection reports to pinpoint individuals who have less than a 50% chance of achieving proficiency. This proactive approach enables educators to design targeted interventions, ensuring that no student falls behind before critical gaps in learning develop. Utilizing Data to Enhance Curriculum EVAAS offers a comprehensive analytic framework that empowers teachers to refine instruction and evaluate core practices regularly. For instance, data highlighted high school mathematics as a priority area for intervention, allowing district leadership to focus on improving instructional strategies. Improvements in instructional delivery via data-driven decisions have led to notable gains in student math scores, suggesting a promising rise in proficiency levels on state examinations. Collaboration Through Data-Driven Professional Learning The integration of EVAAS has transformed the Professional Learning Communities (PLCs) within the district, fostering a collaborative environment among educators. Weekly meetings are now centered around measurable improvements in teaching practices based on actual student outcomes, creating a holistic approach to academic growth that resonates across all grade levels. Fostering Growth Among High Achievers The analytics provided by EVAAS are not limited to supporting struggling students. The data also assists in recognizing high-achieving students whose growth may plateau. By identifying these patterns, teachers can provide tailored challenges to maximize student potential, ensuring that every learner is continually engaged and progressing. The Future of AI in Education As AI technology continues to advance and permeate various aspects of our lives, its role in education is becoming increasingly crucial. Understanding how to harness actionable insights from data analytics will be essential for schools aiming for improved student outcomes. EVAAS serves as a model for how educational institutions can leverage AI-driven analysis not only to react to student needs but to anticipate and prevent them proactively. The emphasis on actionable analytics through tools like EVAAS signifies a progressive shift in how schools approach student growth. This case study of the Center Point-Urbana Community School District illustrates the transformative potential of technology in education, providing a roadmap for districts aiming toward data-informed excellence. By prioritizing actionable insights and fostering collaboration among educators, districts can create a learning environment that not only supports struggling students but also challenges high achievers. The future is bright for schools embracing the power of AI technology and actionable analytics to motivate and uplift every student.

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