Solving real-world problems with AI and ML
AI has been a strong ally to a wide range of industry practices and its subsets are going a step further in helping solve real-world problems from natural disasters to healthcare challenges
AI governance: Ensuring safe adoption of AI technologies
Understanding the risks associated with AI and the need for secure, ethical and compliant AI implementations
Regulation needed to keep Generative AI tools in check
Vulnerabilities attached to machine learning need to be kept in mind by policymakers before deploying AI-enabled systems
Building trust in AI to ensure widespread adoption
In this Q&A, Ashish K. Gupta, Chief Growth Officer, Europe and Africa at HCLTech, speaks about the guardrails needed to ensure responsible use of AI
Ensuring safety and innovation while integrating AI into medical devices
As the healthcare industry increasingly embraces AI, organizations need to be prepared to address the emerging regulatory challenges
Generative AI: Reimagining human-machine innovation
Generative AI has the potential to transform a range of industries, from healthcare to banking and even photography
Data analytics and AI among tools the UK government uses to hunt down fraudsters
Recently, the Sunak government also launched a new program that aims to radically upskill civil servants in data science and analysis
From algorithms to action: AI's impact on customer experience
In Australia, organizations are turning to artificial intelligence and its subset, GenAI, to improve customer experience across a wide range of industries, including healthcare and financial services
Leveraging AI to combat money laundering
As technology evolves, AI will undoubtedly remain a pivotal ally in the ongoing fight against financial crime, safeguarding the integrity of the global financial services industry.
Integrating AI with Life Sciences data
AI is transforming the life sciences industry by enhancing data integration, addressing ethical concerns, and ensuring secure, compliant AI applications across the pharma value chain.
Private AI for Enterprises
Explore the rise of GenAI, its ethical dilemmas, and why enterprises are adopting private AI for better data security, control and compliance in hybrid cloud environments.