Governor Michael Dukakis Discusses Ethics in AI with Barry Nolan

whitePaper | January 12, 2020

“The services market for artificial intelligence technologies is rapidly maturing on the back of several years of learning and a realization—delivering AI is unlike delivering any other technology thus far. Delivering on the promise of AI calls for far more collaboration between service providers, tech vendors, and enterprise clients.” The biggest differentiator in enterprise AI services, as described by most of the customer leaders, is the quality of people—not just the quantity available for a specific skill. Domain understanding and data engineering capabilities are top priorities. A culture of innovation, experimentation, collaboration, and co creation with customers is the key winning formula here.”

whitePaper | November 29, 2022

Artificial intelligence has long since graduated from science fiction and speculative use cases to widespread and diverse development across fintech sectors. CB Insights reported that financings for AI startups showed continued robust activity through Q2 2022, despite changes in market sentiment from the exuberance of 2021.

whitePaper | January 11, 2023

Improving the trustworthiness of artificial intelligence (AI) systems is a shared priority for the private and public sectors, as indicated by prolific research and guidelines in recent years.

whitePaper | December 29, 2022

In our modern world, taking advantage of Artificial Intelligence (AI) to gain insights from data is becoming more prevalent day by day. Graphical Processing Unit (GPU) systems use multiple cores to perform parallel processing, running select workloads to decrease processing times. Compared to GPUs, Central Processing Units (CPUs) have fewer cores; previously, this resulted in less capacity for parallelized processing. To move beyond this limitation, Intel has released new hardware that runs typical AI mathematical computations more efficiently on the CPU, and has also released libraries with hardware optimizations that enable an additional increase in performance.

whitePaper | May 20, 2021

AI has become a strategic imperative. Early adopters are achieving massive returns, while others risk falling behind. Yet, with AI knowledge and resources scarce, most companies cannot copy the FAANG approach. Even if their vast resources were more readily available, it’s hard to reboot an organization without disrupting the bottom line. Most executives need to work with the resources available — their existing people, processes, and technology.

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.