IS THE AI HYPE PUTTING BUSINESSES AT RISK?

whitePaper | September 28, 2022

Your customers need more than dashboards. They need instant, actionable insights and analytics. And you need to offer more than basic analytics to futureproof your application. Learn how embedding AI-powered analytics gives you a sustainable competitive advantage. Download the complete guide today.

whitePaper | July 20, 2022

The growing diversity of actors and circumstances involved in AI/ML deployment makes establishing a set of ethical participatory practices especially difficult for this field. Even among practitioners working at the same organization, there can be substantial differences in both their knowledge about how AI/ML systems were created or will be used and their ability to incorporate inclusive practices. Additionally, the greater availability of AI development platforms, including “no-code” platforms, means that algorithmic models can be deployed without having deep expertise, expanding the number of circumstances automated systems are deployed in. This means many more instances where automated systems are being deployed without consideration of how the algorithms were developed, the provenance of the datasets and nature of the bias on which they were trained and tested, and the ethical implications of their development and deployment.

whitePaper | November 25, 2019

In 2020, artificial intelligence will no longer be a vision of the future, but a tangible reality: language agents such as Siri, Cortana or Alexa are already pervading our everyday lives. The smart assistants play our favorite music, make restaurant suggestions, recommend films, identify the fastest route to our destination and steer our car better into the parking lot than we could. We use artificially intelligent systems that are becoming more and more a matter of course both at home and at work. AI systems have slipped into our everyday lives and they are here to stay.

whitePaper | September 19, 2022

The field of artificial intelligence (AI) traces back to the 1950s. More recently, the increased availability of both data and computing power has bolstered rapid adoption of AI and machine learning (ML) solutions (collectively, AI/ML)

whitePaper | April 14, 2021

While the new era of remote work has provided some businesses with surprising productivity boosts as high as 13%, many are still struggling to secure their suddenly expanded network of remote endpoints and IT resources against a growing onslaught of cyberthreats.

whitePaper | October 19, 2022

The present White Paper provides information to concerned stakeholders, including SMEs, Industry, Academia, Government Regulation Agencies and others, on the current implementation status of standards potentially suitable for ensuring compliance to the original draft of the AI Act, from an ETSI perspective. The overall set-up within ETSI is discussed and most relevant Technical Committees and Industry Specification Groups and related available deliverables and plans are identified.