The Secrets of Successful GenAI Services
The word is out – turning GenAI Proof of Concepts (PoCs) into enterprise services is harder that most expected. In fact, IDC believes 88% of PoCs will fail. Those scaling GenAI projects face many challenges – cybersecurity and cloud policies must be reviewed, infrastructure modernized, and data siloes overcome.
Your route to operationalizing AI: Battling the headwinds facing those scaling POCs into enterprise-grade GenAI Services
Business leaders are waiting impatiently for GenAI to deliver on its potential. With two thirds of CEOS ambivalent or dissatisfied with the progress their organizations have made with GenAI, now is time to understand the key challenges you face in scaling PoCs into enterprise-wide services
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Addressing the Perils and Promise of GenAI – A Manifesto
An Economist Impact Report found that only 37% of executives believe their GenAI applications are production-ready, a figure that falls to just 29% among practitioners. That is because scaling a PoC into a robust production-grade service is hugely challenging.
This manifesto looks at the four pillars of GenAI operationalization:
- A reliable low-latency digital infrastructure
- Gathering and cleaning structured and unstructured data
- The role of governance in setting out clear data ownership and processing guidelines that ensure compliance, and
- Upgraded cybersecurity policies and practices that ensure bad actors cannot exploit the increased attack surface created as GenAI data moves across the network.
It sets out the capabilities you must acquire if you are to generate value from your GenAI services.
A Hungry Mouth to Feed: Addressing the skyrocketing costs of AI services
GenAI survey conducted for Orange Business by GlobalData found that, for many companies, their cloud costs were ‘skyrocketing’ as they started to scale PoCs into production grade services.
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Is your organisation ready for GenAI ?
GenAI services demand a high-performance, low-latency network able to deliver a great experience to your users and the right ROI to your business. How sure are you that your digital infrastructure is up to that task ?
Based on a global survey of over 400 companies in all sectors, we have developed a GenAI assessment tool that:
- Ranks your infrastructure readiness
- Identifies the highest-value use cases
- Assesses your GenAI maturity and identifies your operationalisation priorities
- Provides insights into GenAI’s on your infrastructure and strategies for addressing them.
Armed with this information, your organization can better prepare for the challenges and opportunities presented by GenAI and help to maximize the benefits of this disruptive technology.
The Orange Business AI Reports. The impact of AI on digital infrastructure
A GlobalData survey commissioned by Orange Business investigated the GenAI challenges of 400 large companies worldwide. The core takeaway was that many companies are struggling to operationalise PoCs into enterprise-wide services.
DownloadBlogs with value
The overarching considerations relating to the operationalization of Gen AI services are discussed in the main sections of this site: the blogs on this page provides insights into some of the finer points of this process.
Safe Building Strong Foundations for Your AI Services: How digital infrastructure can enable your data strategy
The power of AI is only truly unleashed when it becomes part of the bloodstream of your company. But is your network infrastructure sufficiently robust that you are comfortable exposing the core of your company’s Intellectual Property via an AI service? For many, the answer is ‘Not yet’. This blog explores different ways of working towards the fulfilment of your AI vision – even if all that you dream of is not yet possible – and ensuring that your infrastructure enables your data strategy rather than containing it.
AI On the Edge? Finding the perfect balance between cloud and on-premise hosting for your AI services
There are three variables that will determine whether your GenAI use case is more suited to the cloud on on-premise deployment – the volume of data involved, the capabilities of your infrastructure and the need for real-time data. This blog looks at the pros and cons of the two hosting strategies and discusses the choices available to you in implementing a hybrid model that will optimize cost and performance.
People, Process and Technology – the Three Pillars of GenAI Security Success
As a rule of thumb, at least half of all IT security projects will fail to fulfil their objectives. Why? Because all too often, organizations impose technology upon end users without giving them a say in how the solution will be structured. Orange Business recommends that Technology is considered alongside Process and People to ensure the solution ‘lands’ properly in the organization. In this blog, we also apply this three-pillared approach to a key challenge facing security leaders seeking to operationalize GenAI projects – data leakage.
Six steps you can take to contain ballooning GenAI costs
There is no ‘silver bullet’ that will slash your GenAI expenditures, but this White Paper sets out six key steps that will help you rein in the costs of operationalization:
- Applying GenAI to the right use cases
- Selecting the correct hosting strategy.
- Using the appropriate Language Model
- Appling Document Governance
- Creating Prompt Libraries
- Leveraging FinOps
Each step will help you optimize your costs and deliver maximum value from your GenAI services.