CIO
NOVEMBER 22, 2024
Generative AI has the potential to redefine productivity, create novel applications, and reinvent customer experience. Their conversation started, like so many around generative AI, with an overview of especially high-impact use cases. The first implementation] has to generate real ROI,” Henderson said.
CIO
OCTOBER 17, 2024
Developers unimpressed by the early returns of generative AI for coding take note: Software development is headed toward a new era, when most code will be written by AI agents and reviewed by experienced developers, Gartner predicts. Gen AI tools are advancing quickly, he says.
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CIO
JANUARY 15, 2025
This allows for a more informed and precise approach to application development, ensuring that modernised applications are robust and aligned with business needs. 3] Looking ahead, GenAI promises a quantum leap in how we develop software, democratising development and bridging the skill gaps that hold back growth.
AWS Machine Learning - AI
NOVEMBER 6, 2024
The emergence of generative AI has ushered in a new era of possibilities, enabling the creation of human-like text, images, code, and more. However, as exciting as these advancements are, data scientists often face challenges when it comes to developing UIs and to prototyping and interacting with their business users.
Speaker: Yohan Lobo and Dennis Street
From automation to generative AI, learn how to optimize workflows, reclaim valuable time, and attract top-tier talent with cutting-edge technology. 🧠 The Role of Generative AI in Accounting: Discover how new technology can amplify staff effectiveness, support decision-making, and improve overall performance.
AWS Machine Learning - AI
MARCH 26, 2025
In the competitive world of game development, staying ahead of technological advancements is crucial. Generative AI has emerged as a game changer, offering unprecedented opportunities for game designers to push boundaries and create immersive virtual worlds. Large (SD3.5
AWS Machine Learning - AI
NOVEMBER 1, 2024
As enterprises increasingly embrace generative AI , they face challenges in managing the associated costs. With demand for generative AI applications surging across projects and multiple lines of business, accurately allocating and tracking spend becomes more complex.
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To better understand the factors behind the decision to build or buy analytics, insightsoftware partnered with Hanover Research to survey IT, software development, and analytics professionals on why they make the embedded analytics choices they do.
Speaker: Dr. Greg Loughnane and Chris Alexiuk
Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.
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In the rapidly evolving healthcare industry, delivering data insights to end users or customers can be a significant challenge for product managers, product owners, and application team developers. The complexity of healthcare data, the need for real-time analytics, and the demand for user-friendly interfaces can often seem overwhelming.
Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage
In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
Join Travis Addair, CTO of Predibase, and Shreya Rajpal, Co-Founder and CEO at Guardrails AI, in this exclusive webinar to learn: How guardrails can be used to mitigate risks and enhance the safety and efficiency of LLMs, delving into specific techniques and advanced control mechanisms that enable developers to optimize model performance effectively (..)
Speaker: Shyvee Shi - Product Lead and Learning Instructor at LinkedIn
In the rapidly evolving landscape of artificial intelligence, Generative AI products stand at the cutting edge. This presentation unveils a comprehensive 7-step framework designed to navigate the complexities of developing, launching, and scaling Generative AI products.
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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success?
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.
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