Digital Matters
Welcome to Digital Matters, the gravity9 podcast where we dive deep into the latest trends, insights, and innovations surrounding the digital evolution of your organisation. Join us as we explore captivating conversations with industry experts, thought leaders, and our own gravity9 visionaries, to provide you with invaluable insights and actionable strategies to thrive in today's fast-paced digital landscape.
Each episode gravity9 Founding Partner, Noel Ady talks with experts about application modernization, cutting-edge cloud, AI technologies and microservices architecture encompassing this with business strategy to streamline your operations and drive continuous innovation.
Digital Matters
The advancements and real life applications of Image processing and how industries can leverage these advancements
As we reach episode ten of gravity9’s Digital Matters podcast Andy Ross and Andy Newman talk with Dr Catarine Carvalho, Data Scientist at Data Science and AI consultancy Deeper insights. Catarina joins us to discuss the hot topic of image processing and recognition and how these capabilities are being leveraged by industries such as Amazon in their Fresh Store, driverless cars and even NASA, the issues surrounding data protection how we can apply the technology in our businesses.
- How the technology behind computer vision and imaging processing works and common applications in our everyday lives.
- The steps organisations need to take to utilise this technology to drive digital change and transformation within their business.
- The evolution of image recognition capabilities across industries from cashless retail and virtual changing room applications to saving lives in healthcare and the driving force behind these advancements.
- The privacy and ethical responsibilities of organisations using this technology and how data reduction can be used to only capture the information needed.
- Explaining Deepfakes, their impact on society and how this technology is being used in ever more dangerous ways.
- Combining multi-data models (movement, body language, face etc) and how different data sources are being combined across applications.
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