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The gap is widening between those with a handle on their AI strategy and those only scratching the surface of its potential.

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Is there an artificial intelligence reproducibility crisis: What does it mean for business?

The widespread use of artificial intelligence (AI) is one of the most important scientific and technological developments of our time. In the business world, AI adoption is growing at a rapid pace, as a growing number of organisations deploy AI to add value, automate processes and solve specific problems. Unsurprisingly, the use of AI in standard business processes has increased by nearly 25% year-over-year. By 2030, AI is projected to add up to $13 trillion of value to the global economy. 

How to decide on your business’ first AI project: 5 steps

Scientists and their discoveries have led to great revelations throughout history and, in recent years, none have proven more impactful than the discovery and development of artificial intelligence (AI). First coined by John McCarthy as early as 1955, delivering on the promise of AI has been a goal of scientists ever since.

AI in-house talent vs consultancies: what's right for your business?

Businesses across sectors are scrambling to capitalise on the value of AI right now, with usage growing by as much as 270% in the last four years alone. Despite this influx, it can be hard to get started here, or to know which of the many arising AI implementations is best. Still, with predictions widely pointing to the fact that 80% of technologies will have AI foundations by next year, getting your head around the issue should be a primary concern. 

6 examples of Artificial Intelligence changing business

At the start of 2020, an impressive 37% of organisations were already utilising AI systems in some form. That’s a 270% increase in the last four years alone, and it’s hardly surprising considering available worldwide big data is set to grow by as much as 61% by 2025. In other words, as the need for unique data handling and simplified processes comes to the fore, companies who don’t get on top with AI soon stand to drown in the influx.

AI in programmatic advertising: a 2020 update

To quote William Gibson: “The future is already here — it's just not evenly distributed”. 2020 is the year that the impact of artificial intelligence (AI) and machine learning in programmatic advertising systems becomes more noticeable. 

Artificial intelligence vs machine learning: there is a difference

We are in the midst of the AI revolution. A recent report by PwC and another by McKinsey both place AI as the biggest commercial opportunity for “companies and nations” over the coming decades. 30% of businesses are already conducting AI pilots, and nearly half are using AI capabilities within at least one standard business process — up from 20% in 2017.   

5 ways telecoms are using AI in 2020

Artificial intelligence (AI) adoption in business has tripled across the board in the last twelve months, with an impressive 80% of business leaders claiming that integration can both boost productivity and create jobs. Unsurprisingly, countless industries are looking towards adoption in 2020, and the telecommunications industry is no exception. 

What is machine learning-as-a-service (MLaaS)?

Cloud-based service provisioning has entered the machine learning ecosystem, and the outcome is MLaaS. The long and the short of it is that machine learning-as-a-service is exactly what it sounds like — it's the delivery of accessible, hosted and subscription-based machine learning tools that are ‘ready-to-go’. But is MLaaS right for you? And is there more to understanding the nuance of MLaaS? 

6 artificial intelligence business opportunities in 2020

Most business owners and decision-makers already understand the growing value of artificial intelligence (AI). AI helps brands keep up with the competition, improve business processes and deliver more value to customers. A recent global study found that while the majority of companies are still in the early stages of adopting AI, most have begun fast-tracking AI business applications. 

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