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Generative AI (GenAI) is rapidly transforming the tech landscape, empowering the creation of entirely new content formats from text, code and images. For technologists, this presents both exciting opportunities and challenges. This article dives deep into how you, as a tech professional, can navigate the world of GenAI, covering aspects like prompts, staying updated, model selection, skill development, internal implementation and communication with non-technical stakeholders.

Generative AI has captured the imagination of many, promising to revolutionize various industries through its ability to create new content, data, and even generate realistic images. However, despite the hype surrounding its disruptive potential, most enterprise businesses are cautiously treading the waters, considering the technology's risks to outweigh its immediate benefits. Read article to learn more. 

Is the drive among enterprises across all regions and industry sectors to adopt generative AI solutions at scale living up to the hype or is the process moving at a slower and steadier pace?

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The barriers to entry for using this exciting technology have come down - so how ARE you going to use it to full advantage?

Generative Artificial Intelligence (GenAI) has stepped out of the realms of theory and computer labs to become available to businesses and individuals almost overnight. It is not just that the technology has evolved, it is the speed at which it has become accessible to anybody who is curious to use it. Learn more.

Generative AI has advanced rapidly in recent years, enabling exciting and diverse developments and applications across various industries. The last year especially has seen a big leap in the AI hype curve. From marketing, finance and education, to gaming, social media and even space travel, the possibilities of generative AI seem endless. Here, we explore some of the best publicly available use cases for generative AI, showcasing how the technology is transforming many different services and sectors.

Generative AI Week saw 300+ industry leaders descend on Atlanta to discuss what this new tech means for the future of the enterprise as the event provided practical steps for implementing and scaling generative AI. Let us show you the benefits of showcase your companies' solutions in this space and download the Post Show Report here >>>

What are the Possibilities for Large Language Models (LLMs), Smaller Language Models (SLMs) and emerging Multimodal Language Models (MLMs)?

Ahead of Generative AI Week 2024, we've partnered with Raconteur & The Times to produce the 2024 AI In Business Report. Download your complimentary copy now:

When we consider that some forecasts indicate that generative AI could reach a value of $909 billion by 2030, it is no surprise that the disruptive technology is a key focus area for business leaders.

Business leaders in various sectors are reaping substantial rewards from cutting-edge Generative AI advancements. However, amidst the dynamic technological landscape, there are hurdles to overcome, including the imperative of upskilling the workforce, adhering to regulatory frameworks and maintaining a harmonious integration of innovative AI solutions alongside human capabilities. 

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Produced in partnership with PEX Network, this report features insights from PEX Network’s advisory board members and senior business leaders at Maersk, the LEGO Group, Heineken, and more. Download the report >>

Booking.com are an example of a business that have already rolled out a customer facing product with Generative AI at its core, the AI Trip Planner. The planner incorporates the benefits of LLM’s with the value of their internal data, to deliver a differentiated product in the travel market. Read interview here.

Projects still in there pilot phase, discover the ins and out of pilot production and move towards a successful implementation. Download your complimentary copy of this How-To Guide now >>>

Given the legal challenges that have already arisen as companies dispute both copyright and legal ownership of the output of Generative AI models, this session will cover:

• The existing legal framework and its limitations when addressing Generative AI
• Copyright risks – what are the current risks and how can they be mitigated
• Understanding ownership – who ultimately owns the output from Generative AI

Watch back Matt Hervey, Head of Artificial Intelligence Law Gowling WLG video presentation here >>> 

Chris’ role at NatWest involves him leveraging Machine Learning to improve the effectiveness of their conversational AI agent ‘Cora’ which currently involves investigating how to integrate the benefits of LLMs (Large Language Models) like ChatGPT without any of the downside risk. 

In this session, Chris cover:

• Assessing the ability of LLMs to generate more human sounding output due to the sheer size of the dataset they have been trained on
• Understanding the limitations of LLMs for the enterprise applications due to the risks associated with incorrect or misleading answers
• Blending LLMs with additional architecture, such as knowledge graphs, to extract the benefits while minimising the risks

Watch Chris,Product Owner - Machine learning and Insights at NatWest presentation here >>>

Generative AI represents a significant advancement in the field of Artificial Intelligence, offering new opportunities for creating content and data, improving decision-making, and automating tasks. This presentation will explore how it can change the way we interact with technology. 

Watch Nina, author and Generative AI expert presentation here >>>