Business leaders recognise the increasing importance of LLM technologies, such as ChatGPT and GPT-4. The benefits AI can bring to businesses are immeasurable: increased efficiency, growth in revenue, and better-informed decision-making processes, to name a few.
Companies that do not utilise AI are at risk of falling behind. The leading experts in the industry agree that AI is the single most important technology in the years to come.
Your chance to seize the power of AI is now!
Businesses must use the power of AI and maximise the value of their data assets to stay competitive – here is where AI Strategy can help. We identify the people, processes, and technology initiatives enabling your business to become AI-driven.
Why have an AI strategy
If your company is undergoing digital transformation or digital optimisation journey, AI strategy is where you should start. Progressive companies must understand how to leverage AI to drive their business performance.
AI can help businesses in various ways, such as:
AI can process large amounts of data and provide insights that can help businesses make better decisions.
Key elements of an AI strategy
The key components of an AI strategy can vary depending on the specific needs and goals of the organisation. However, some common features are as follows:
Establishing ethical guidelines and governance frameworks to ensure that AI is used in a responsible and transparent manner. This is particularly critical given the impending EU AI Act.
If any of the above apply to your business – you need an AI Strategy:
Multiple analytics teams (often competing and / or with gaps between them)
Wasted investments in AI or analytics infrastructure, products or services
No clear data ownership leading to multiple versions of the truth
Different departments using different technologies, methodologies or suppliers
No long-term plan, therefore not keeping pace with competitors’ use of artificial intelligence
Missed opportunity to extract value from AI and your organisation's data
By incorporating AI technologies such as machine learning, natural language processing, and computer vision, companies can:
Investing in AI is not just an option but a necessity for companies looking to stay ahead.
Failing to invest in AI increases the risk of falling behind competitors and missing out on the transformative benefits of AI technology.
Often our customers ask us the same question – “We know we need to embrace new technology such as AI and machine learning – but how, and where do we start?”. Or:
"How do we capitalise on the potential of AI and use it, and our data assets, to improve our bottom line?"
"How do we use AI to service our customers better and cost-effectively?"
"We want to make data-driven decisions, but we don’t have access to real-time data, AI tools or skills."
"We have undergone the process of digital transformation but we have no AI strategy, where do we start?"
"We hear about the miracles AI can do for businesses, but we don’t have the understanding, the skills or the people to start our AI journey."
"Our data sources are disparate and lead to inaccurate insights. What tools and people do we need to become an AI-driven business?"
We provide our customers with clarity of vision. By empowering our customers with the ability to take advantage of the power of AI, we prepare their business and people to pivot to an AI-driven environment, along with arming them with the knowledge of how to use data as a critical business asset to remain competitive, improve bottom line and manage risk.
We work with senior management to understand where they want to take their company, what their current capabilities are, what data assets they have (or could have) and identify the correct technology infrastructure that will enable them to become an AI-driven organisation.
Create the culture to promote and enable specific AI and advanced analytics use-cases within the client vertical, and organisational readiness required to act on insights.
Provide the capability to use AI, advanced analytics and data to meet business objectives.
2. Short-listing of most beneficial use-cases that the organisation should pursue.
3. Identification of cultural and processes changes that need to be made to provide the foundations required to become an AI-driven organisation.
Explore what is possible with data relative to your organisation’s strategic objectives and goals.
Evaluate current systems and processes to identify gaps and pinpoint enabling actions required within people, processes, and technology, which will support the organisation's goals.
Deliver a roadmap of initiatives to formulate your AI Strategy.
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