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Generative AI

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Generative AI

Generative AI is here to stay. Leverage it correctly and it will deliver results immediately. But getting caught up in the hype can cause more headaches than it’s worth. Our experts will help you demystify generative AI, unlocking new value for your people, customers and shareholders in near real-time.

What is generative AI? What types of content can be generated using it?

You’ve probably heard of generative AI thanks to the prolific adoption of ChatGPT and related chatbots like Claude from Anthropic and Bard from Google. It’s probably also in most of the tools you use daily, for example, autocomplete in your email.

We asked ChatGPT to explain generative AI and here’s what it said:

Generative AI is a branch of artificial intelligence that uses machine learning models to generate new content. This can be anything – text, images, music, video, and more.

This is achieved through a type of model called a generative model. A generative model learns patterns in the data it’s trained on and then uses this learning to create or “generate” new data that resembles the training data.

One of the key techniques used in generative AI is called a GAN, or Generative Adversarial Network. It’s kind of like a contest between two AI models – one tries to create realistic data (the “generator”), and the other tries to tell if the data is real or fake (the “discriminator”). They keep challenging each other until the generator gets really good at making data that the discriminator can’t tell is fake.

However, it’s important to remember that while generative AI can create incredibly realistic outputs, it doesn’t truly “understand” the content it’s generating – it’s simply predicting what comes next based on patterns it’s seen in its training data.”

We help companies select and implement the best generative AI approach for their business, processes, and data. Some challenges might be best solved with a Large Language Model (LLM) like GPT-4, while others could benefit from an image-based model like Stable Diffusion.

Whatever your business challenge, we help you apply this technology so you can better manage risk, increase productivity, generate revenue, and save money, without sacrificing on security, compliance or privacy. Scroll to find out how.

How can generative AI transform your business?

What can generative AI do for your business? Generative AI offers a whole host of opportunities to transform your business across all facets of your organisation, whatever the approach. Be that developing a custom LLM, fine-tuning an existing model with your proprietary data, deploying custom expert agents, deploying a customer-friendly chatbot or creating something completely bespoke, we’ll determine what generative AI strategy works best for your business. And the results? From streamlining and eliminating repetitive workflows and operations to scaling manual processes inside existing tools, analysing and organising structured and unstructured data, cleaning and filling data gaps, identifying areas of risk and managing compliance, and automating and simplifying complex processes and tasks, generative AI drives growth across the board.

What are the business cases of generative AI?

Our team can support you across your generative AI journey end-to-end. Whether you’re a bank looking to streamline risk identification and fraud detection, an insurer wanting to optimise underwriting, or a retailer looking to automate processes to increase the efficiency of your sales team, the use cases for generative AI application are endless.

The first step in the process is to identify workflows and processes that tend to take lots of time and require data spread across multiple systems. Another great starting point is daily tasks that are repetitive. Once you research and assess each use case, you can score them based on the impact to the business and the complexity of the solution needed.

This is where we excel.

What advancements in generative AI are expected?

The future of generative AI is evolving rapidly. Each week new models are released, new use cases are identified, and last week’s challenges have been solved.

We’ve never seen a technology move this quickly and have such a profound impact.

With the technology constantly evolving and learning, the possibilities for advancement with generative AI are endless. It’s our mission to ensure your business is a part of this. By partnering with us and implementing the technology today, we’ll shape the future of your business and industry with the proper generative AI business application.

What are the risks of using generative AI technology?

We help companies navigate this question daily. The most common risks we explore are related to security, privacy, bias and ethics. Taking the time to create your unique guidelines and policies for selecting, implementing and using generative AI is critical.

Whilst this technology is still emerging, another way of looking at it is with regard to the risk of not investing in this technology. From efficiency to new product innovation, there are myriad opportunities to transform your business. For example – with a 95% reduction in time spent on manual processes, what could you achieve? We used generative AI to help a leading asset manager do just that. It’s only a matter of time before generative AI will have advanced your competitors, so ensure you’re ahead of the game, using the technology in impactful ways.

Let us show you how to put generative AI into action and see the value.

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Unleash the power of AI for your business

Our new generative AI tool is designed to redefine how your team approaches document and report analysis – cutting it by 95%. We can empower your business to revolutionise workflows and achieve unparalleled productivity gains, leading to a new performance potential.

How we can help

Whatever the challenge, our team of experts have the tools to build you bespoke, sustainable and market-leading solutions that’ll allow you to stay ahead of the game. Take a look at some of the ways we can help you.

Strategy & discovery
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We work with your leadership teams to understand the overarching vision for your business and where generative can help reveal greater potential. We’ll then test this proposed strategy through proof-of-concepts and proof-of-values.

Business analysis
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We analyse your business and spend time understanding your stakeholders to ensure a user-centric strategy that meets needs and solves pain-points business-wide, from your people to your end customers.

Process design
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We then apply insights from across the business to create a tangible process or tool, like a generative AI agent, that will truly transform your organisation and current ways of working.

Testing & QA
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Testing is one of the most important steps – we’re passionate about continuous testing and iterating to deliver the most value, at pace.

Machine learning development
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In order for you to bring about AI-led change at pace, we’ll design, build and manage your
ML frameworks.

Post go-live support
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We’ll support your project by providing full go-live support and management of AI & ML systems, chatbots and frameworks to ensure they’re optimised and delivering maximum value.

Managed services
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Technology is constantly evolving, so we’ll help ensure your AI/ML models are always up to date to keep business performance optimised.

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We understand how to make the most of your data. Connect with our experts to find out how we can use this to create a market-leading strategy.

Steve Steinberg

Steve Steinberg

Partner