What does business excellence look like in 2024? What do organisations need to do to thrive? Gallup has defined it as the year of the “relationship reset” as both employers and employees are looking for better ways of doing business while putting people a ...
Is artificial intelligence (AI) changing the shape of the financial services sector, or is the financial services sector increasingly defining the shape of AI for business across all sectors? For the Harvard Business Review, many of the questions raised b ...
Microsoft 365 Copilot, powered by artificial intelligence (AI), represents the newest generation of intelligent productivity tools to enter our workplaces. Immersed within the Microsoft 365 ecosystem and designed to deliver what the CEO of Microsoft, Saty ...
Microsoft Copilot has slid seamlessly into multiple platforms and solutions across the Microsoft ecosystem since September 2023. Microsoft explains the technology as a combination of ‘large language models (LLMs) with your organisation’s data’ and it work ...
McKinsey captured the zeitgeist of the workplace perfectly in a paper entitled ‘If we’re all so busy, why isn’t anything getting done?’. Why indeed. McKinsey believes it is the endless meetings, emails, messages and groups that weigh people down with thei ...
We interact with different types of AI every day. And sometimes, we aren’t even aware that we’ve had these “robotic” encounters.
The starting point is always automating the things we currently know so that they can go faster. HR should be about spending time with people, not processes,”
Looking at adopting artificial intelligence into your business? We would love to help you unearth the possibilities and allow your business to grow, be more efficient, and ultimately, succeed.
It is now time to unleash the power of AI on customer data analytics to segment customers individually, objectively, and quantitatively on CLV to maximize profit.
Active learning enables production systems to keep getting better and more useful over time, without excessive effort by data scientists.
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