A1-1. The winning formula for AI productivity involves conquering challenges on three fronts: (1) Talent, (2) Process and Tools, (3) Regulations. Unlocking AI's full potential demands a strategic blend of expertise, efficient workflows, and compliance. #Productivity #eWEEKchat

A1-2. Thriving in the AI era isn't just about skills; it's also about diversity. Did you know that only 22% of AI professionals worldwide are women? According to World Economic Forum, bridging this gender gap will take a century. Let's champion #WomenInDataScience and reshape the future of AI

A1-3. Navigating the complex landscape of AI regulatory fragmentation can be a challenge for businesses worldwide. The absence of unified standards poses hurdles to innovation. It's time for collaborative efforts to create a cohesive regulatory framework that fosters responsible

#eweekchat A3-1. Generative AI research is advancing at an incredible pace. While the Cloud serves as the central hub for many applications, local machines remain integral. The key lies in finding a balance and embracing flexibility. Today, compact generative AI models excel on

#eWEEKchat A3-2. Empowering Generative AI accessibility: The rise of smaller models signifies a democratization of technology. These compact yet powerful models make AI more accessible, bringing innovation to a broader audience. Whether on the Cloud for scalability or on premise

#eWEEKchat James Maguire A4. Balancing the scales of AI in my daily life is a constant internal debate. As a tech professional, I marvel at the transformative power of #GenerativeAI to effortlessly solve everyday challenges. Yet, as a parent, I am concerned about its impact on

A5-1. Here's my AI productivity mantra: Learn 🔖, Adapt 🦾, Collaborate 👐and Ethically Innovate 🫶. Embrace AI tools by staying on the cutting edge, tailoring them to your needs, collaborate across disciplines. Emphasize the importance of ethical considerations in your journey

A5-2. Stay updated, experiment with new tools, and break down silos with cross-functional collaboration. Today, Generative AI goes beyond expectations – writing code, crafting synthetic data, summarizing lengthy documents, and more. It's not just a tool; it's an innovation

A6-1. GPUs and NPUs offer promise of faster AI computations, superior model training, and seamless integrations. The key lies in #GenAI providers facilitating flexibility in choosing the right chip or processor for specific tasks. The future belongs to those who seamlessly

#eWEEKchat A6-2. Amidst the GPU and NPU hype, let's not forget the power of efficient software optimization. While hardware evolution is crucial, the real magic often lies in fine-tuning algorithms and maximizing software potential. A balanced approach ensures optimal

#eWEEKchat A7-1. Loving the AI enabled automatic park assist feature in cars - a remarkable stride towards achieving full autonomy on the roads. It's been a game-changer for me, preventing mishaps and ensuring a smoother parking experience. #AIDriving #InnovationOnWheels

#eWEEKchat A7-2. In navigating the no-go zone, it's not just about avoiding tools - it's about aligning choices with specific needs and goals. Functionality, compatibility, efficiency, and privacy - all matter when selecting the tool of choice and environment to operate in for

#eWEEKchat A7-3. My other favorite tools are a diverse mix. Copilots for everyday tasks and boosting productivity (including ChatGPT), configured AI models using Jupyter notebook, Anaconda, and SAS Viya. And Quillbot and researchrabbit for helping me summarize complex papers and

#eWEEKchat A8-1. AI perils in recently in the spotlight: Air Canada loses in court over chatbot lies, AI crafts fake Taylor Swift images, Cruise recalls autonomous vehicles post-crash, and Turnitin flags innocent students for AI plagiarism. These incidents underscore the

#eWEEKchat A8-2. Intent matters when using AI ! My concerns center around #GenerativeAI's impact on bias and misinformation. Education is key. We must discern between authentic and AI-generated content. Let's advocate for responsible AI practices and knowledge dissemination.

A9-1. Democratizing AI is not just about accessibility, but also about simplicity and familiarity. Today, generative AI copilots can seamlessly run on personal machines, backed by cloud infrastructures. Making AI as casual as chatting with a friend, personal machines with

A9-1. Personal machines play a crucial role in widening AI access. The shift to running AI models on the edge removes barriers, making AI accessible to all. As personal machines become the hub for AI models on the edge, we break free from centralized server dependencies. This

#eWEEKchat A10. A final nugget of wisdom: Culture of curiosity, collaboration, and ethical innovation is critical to unleash the true potential of AI. It's not just about the tech, it's about the human touch that elevates AI from a tool to a transformative force. Embrace AI as a

Nobody knows applied #AI and data-driven decision-making better than Cassie Kozyrkov, CEO at Data Scientific, and Google’s former Chief Decision Scientist. Don't miss Cassie at #SASInnovate, April 16-19 Register to join us in Las Vegas: 2.sas.com/6010wtQ0Q

#SASViya gets big love from customer testimonials on the #SASInnovate main stage! It is clear that the main driver for end-users is IMPROVING PRODUCTIVITY!🚀 = You still have time to register—watch live now or on-demand later: sas.com/gms/redirect.j… — SAS Software #SASVisionary