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How is IoT Changing the Future of Cruising?

In this special guest feature, Ian Richardson, CEO & Co-Founder, theICEway, discusses how as the world continues to open for travel, cruise industry leaders are looking to leverage the next wave of travel technology to improve the passenger experience.

More Than You Know: The Enterprise Worth of Natural Language Generation 

In this contributed article, editorial consultant Jelani Harper highlights how Natural Language Generation (NLG) is arguably the nexus point of natural language technologies. It utilizes Natural Language Processing (NLP), is a prerequisite for conversational AI, and largely requires Natural Language Understanding (NLU) for meaningful responses to interrogatives or commands.

Domino Data Lab Announces Hybrid MLOps Architecture to Future-Proof Model-Driven Business at Scale

Domino Data Lab, a leading Enterprise MLOps platform trusted by over 20 percent of the Fortune 100, announced its new Nexus hybrid Enterprise MLOps architecture that will allow companies to rapidly scale, control and orchestrate data science work across different compute clusters — in different geographic regions, on premises, and even across multiple clouds.

Streamlining Data Evolution in a Rapidly Changing World

In this contributed article, Adam Glaser from Appian believes that in a fast-changing, digital-driven world, having access to the right data at the right time is crucial. That is why, as data evolves, it must be brought together in a reliable and efficient way that creates a powerful asset, not a compliance challenge. 

Making a Case for the First Open Source Platform for Synthetic Data

In this special guest feature, Yashar Behzadi, Ph.D., CEO and Founder of Synthesis AI, discusses on the importance of a community like OpenSynthetics in developing more capable AI models.
OpenSynthetics, an open community for creating and using synthetic data in AI/ML and computer vision, is open to practitioners, researchers, academics, and the wider industry.

How to Overcome Patient Obstacles with Conversational Intelligence

In this special guest feature, Amy Brown, Founder and CEO of Authenticx, discusses speech analytics in healthcare. Organizations must listen and learn from patients’ voices to gather insights, customize their approach and facilitate change and growth.

Using Basic Data to Improve Public Services

In this contributed article, Prahlad Koti, a Partner at Netcompany, examines exactly what we mean when we talk about basic data, and how its digitization can assist the public and private sector. The digitization of public services is at the very top of government agendas across Europe, but the lack of accessible and reliable data, such as core information about individuals and businesses, creates challenges for digital administration.

Artificial Intelligence & Data Analytics in the Last Mile Logistics

In this special guest feature, Anar Mammadov, Founder of Senpex, highlights how delivery logistics companies have powerful artificial intelligence, data analysis tools at their disposal, and part of the innovation in this field has been ensuring that clients can access this data. An analytic dashboard allows clients to understand what is happening with their delivery orders and ensure that their precious business is in the right hands.

End-to-End Automation – The Key to Optimize and Transform IT

In the past several years, assisting new business models through use of advancing new technologies helped reveal IT as a strategic function in the enterprise as opposed to an ordinary operational area. This process, however, came at a distinct organizational cost – additional workload to existing IT teams. We’re seeing substantial increases in IT operational activities due to extra service requests, cyberattacks and demand for new digital services.

How to Navigate AI Change Management Like a Boss

In this contributed article, Katie Wrenn and Ernest Sohn from Booz Allen, discusses five key steps in getting a change management plan started for AI solutions in an enterprise. When your organization faces large-scale change, the only way forward is to manage it, and this is particularly true in an evolving and complex area like AI.