Deloitte AI Institute ME

The Deloitte AI Institute, Deloitte’s global centre for AI research and applied AI innovation, recently worked with Arjuna Therapeutics to build an AI-driven research engine. Arjuna Therapeutics is an emerging biotechnology company developing an entirely novel class of small molecules, Therapeutic Molecular Clusters (TMCs), for the treatment of various cancers.

Find out why MLOps is the key to scaling AI and how can organisations realise their AI ambitions with MLOps. To understand the challenges, the barriers and the solutions available to any organization hoping to take advantage of the most sought-after AI algorithms, we have surveyed 621 key AI decision-makers in seven countries and across industries.

Generative AI models for businesses threaten to upend the world of content creation, with substantial impacts on marketing, software, design, entertainment, and interpersonal communications.

The AI complexity calculator is designed to help you measure the complexity of an AI project and determine the key requirements for success

In this talk, we will explore the role of Artificial Intelligence in significantly reducing carbon emissions

The AI complexity calculator is designed to help you measure the complexity of an AI project and determine the key requirements for success.

Deloitte interviewed women in AI leadership positions to unpack the root of gender bias and the need for diversity in AI for a better future.

Is AI the future? We explore its rapid evolution and discuss how AI is likely to change the way the world lives and works.

Find out why MLOps is the key to scaling AI and how can organisations realise their AI ambitions with MLOps. To understand the challenges, the barriers and the solutions available to any organization hoping to take advantage of the most sought-after AI algorithms, we have surveyed 621 key AI decision-makers in seven countries and across industries.

Deloitte today announced a new practice designed to help clients harness the power of Generative AI and Foundation Models to exponentially enhance productivity and accelerate the pace of business innovation.

.Over the past few months there has been extensive discussion across industry around the capabilities of generative AI technology and its potential to revolutionise the way we work. Whilst it is clear that these technologies will facilitate increased efficiencies, there are also some risks to consider.

In this article, we look at the benefits and limitations of Generative AI, introduce a method to qualify if, where and how these cognitive tools can be used.

Exploring risks & ethics of generative AI: Uncertainty, explainability, bias, & environmental impact.

Generative AI models for businesses threaten to upend the world of content creation, with substantial impacts on marketing, software, design, entertainment, and interpersonal communications. These models are able to produce text and images: blog posts, program code, poetry, and artwork. The software uses complex machine learning models to predict the next word based on previous word sequences, or the next image based on words describing previous images. Companies need to understand how these tools work, and how they can add value.

The Deloitte AI Institute was thrilled to have Aidan O’sullivan join us on November 3, 2022, 12:00 PM,BST, to discuss the role AI can play in tackling climate change.

2,620 global businesses leaders representing six industry areas and dozens of sectors were surveyed for Deloitte’s State of AI in the Enterprise, 5th Edition

Organizations can lead with data, leverage technology systems to drive decision-making, and derive benefit from the cloud to reduce their carbon emissions 

Explainable AI can help banks confront the black box nature of their machine learning models and provide the transparency and trust needed to integrate AI into business and operations

Explore the evolution of robotic process automation (RPA) and intelligent automation and how organizations are scaling RPA tools and intelligent automation.

As machine learning and AI continues to develop at a rapid pace, some of the most exciting progress is being made by researchers looking at NLP

Artificial Intelligence (AI) has yet to deliver on its full potential of driving cost efficiencies and improving the customer experience for regulated financial services firms. In this report, we discuss some of the key barriers to AI adoption and the pivotal role that effective risk management can play in enabling regulated firms to harness the power of AI with confidence.

Human beings are not exclusively thinking beings, they are also emotional. Emotions can drive human behaviour. During an interaction, another human can (relatively) easily understand how a person fells and adapt to their needs.

The Deloitte AI Institute, Deloitte’s global centre for AI research and applied AI innovation, recently worked with Arjuna Therapeutics to build an AI-driven research engine.

Digitisation offers an array of new opportunities for organisations and requires a fresh approach to conducting business and servicing customers. Amongst other goals, it enables a firm to be customer-centric at scale.

The Deloitte AI Institute, Deloitte’s global centre for AI research and applied AI innovation, recently worked with Arjuna Therapeutics to build an AI-driven research engine. Arjuna Therapeutics is an emerging biotechnology company developing an entirely novel class of small molecules, Therapeutic Molecular Clusters (TMCs), for the treatment of various cancers.