Quang-Do Pham, who participated in two international conferences, Google DevFest Paris and Microsoft AI Tour Paris, says that the main point of the future of AI development and implementation is the democratization of AI through generative AI.
AI Is Becoming More and More Accessible
“It's making AI accessible to a wider audience, particularly developers, who can now leverage these tools and technologies to build AI applications more efficiently and cost-effectively than ever before. This will accelerate adoption and integration of AI across industries and domains“, – says Quang-Do Pham.
Talking about groundbreaking advancements or innovations in AI technologies discussed during the conferences, Adroiti specialist emphasizes Generative AI, particularly Large Language Models like GPT, which has been a groundbreaking advancement in AI: "Its mainstream introduction, late 2022, has opened up a plethora of possibilities, not just in consumer-facing applications like ChatGPT, Google Gemini, or Microsoft Copilot, but also in developer tools and AI application development.
The events underscored the expanding potential of AI applications, which are continually pushing the boundaries of innovation. The Microsoft AI Tour, in particular, emphasized the importance of responsible AI adoption in business settings, a perspective that was not as prominent at the Google DevFest. This focus on responsible adoption should reassure business leaders about the potential risks and opportunities in this rapidly evolving field, which could significantly change the landscape in the coming weeks, months, and years.
Generative AI is poised for significant expansion in the near future, potentially transforming the way we learn and work. It is set to become a crucial component of business operations, fostering creativity and improving decision-making, while also automating or enhancing work processes. This technology will enable industries to harness their proprietary data for customized applications, pushing boundaries in areas such as design, development, and customer service. As industry-specific and task-tailored applications emerge, the accessibility of Generative AI will only continue to grow, offering a promising outlook for the future of AI technology." – Quang-Do Pham, discussing the future trends“, – says Quang-Do Pham, talking about the future trends.
The Latest AI Trends
According to quang-Do Pham, a renowned AI expert, the events delved into emerging technologies, particularly software applications built with generative AI. These applications offered more than simple prompting, pushing the boundaries of what AI can do.
"These technologies enable generative AI to operate on an organization's proprietary data rather than relying solely on publicly available internet data. Key emerging tools include vector stores and embedding, fine-tuning, Retrieval Augmented Generation or RAG, and agents. It is essential to feel the pulse of the technology world. By aligning expertise with emerging trends, we can maintain a competitive edge. Adroiti understands and embraces this imperative as a tech organisation and encourages its teams to stay up-to-date with new technologies."
Talking about the practical IT scenarios where the insights from the conferences might be applied, Quang-Do Pham says that generative AI, like electricity or the internet, is a foundational technology with broad applications across business contexts: "Those familiar with Large Language Models, or LLMs, understand how generative AI can enhance tasks such as writing, reading, and chatting. At the same time, these tasks are often used, for now, on web-based platforms like ChatGPT, with known limitations and risks. However, organizations can also leverage generative AI in customized software applications to maximise their proprietary data, enabling automation or augmentation tailored to their specific business processes ".
AI Conferences: Similarities and Differences
This year, Google DevFest focused on AI for developers, emphasizing advancements in generative AI and security. Developers could meet in person, share insights, and keep up with the latest technology trends. The Microsoft AI Tour meanwhile focused on advancements in generative AI, targeting not only developers but also business stakeholders and decision-makers.
Google DevFest Paris. The talks and workshops approached generative AI from a developer's perspective, emphasizing practical applications and building applications with LLMs. Tools like Google's Vertex AI platform and open-source frameworks like LangChain were highlighted. Some sessions provided deeper dives into specific components, such as vector databases and search techniques, offering a comprehensive look at the evolving tech landscape.
Microsoft AI Tour Paris. The spotlight was on Microsoft's suite of Copilots (Microsoft 365 Copilot, GitHub Copilot, and custom Copilots) and AI technologies in Azure. Featured partners, such as Nvidia, and AI technologies were also highlighted during the event.
Talking about the main differences between the AI approaches presented by Google and Microsoft at their conferences, Quang-Do Pham says that both events emphasized advancements in generative AI: "Google DevFest highlighted practical AI applications using not only Google technologies but also open-source tools. Microsoft, however, leaned into their suite of Copilots and AI technologies integrated into Azure, showcasing how organizations can use AI to transform their business".
For Quang-Do Pham, tech sessions and workshops on building AI applications were especially valuable beyond just prompting: "The Google DevFest showcased cutting-edge development tools, blending theoretical insights into topics like embeddings, vector stores, and retrieval methods with practical applications. Meanwhile, the Microsoft AI Tour presented a broader range of topics, addressing real-world use cases from the insurance and banking industries to the healthcare and retail sectors, but primarily centred on Microsoft's technology offerings, highlighting the various Copilots and Azure AI."
Pushing the Boundaries of Innovation
Delving into the challenges in AI development, Quang-Do Pham points out that the specific technical limitations of generative models, though not explicitly highlighted during the Google DevFest and Microsoft AI Tour, are widely recognized. These models are computationally intensive, necessitating powerful hardware, significant time, and substantial financial resources for training. The complexity of these models adds another layer of difficulty, making them intricate to interpret and control. Furthermore, the knowledge cutoff inherent in these models is a significant and well-known limitation.
"Continuous learning is vital in rapidly evolving fields like AI, enabling individuals and organizations to keep up with fast-paced technological advancements and adapt to shifting skill demands. By aligning expertise with emerging trends, we can maintain a competitive edge", says Quang-Do Pham, mentioning that Adroiti promotes self-learning by empowering teams to attend tech events hosted by industry-leading companies like Google and Microsoft, enhancing their skills and ensuring a competitive advantage for the company.
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