The gap is widening between those with a handle on their AI strategy and those only scratching the surface of its potential.
Google’s Privacy Sandbox looks like it might be the end of programmatic advertising as we know it, with third-party cookies largely set to become a thing of the past, and reliable automated data collation at risk along with them. The only way to prevent this from significantly unravelling online marketing efforts is to focus on shifting data landscapes, sources, and handling on a business-wide scale.
AI adoption is on the rise at a rate of around 25% year-on-year. That’s an increase of approximately 270% in the last four years alone, and it’s a figure that set to continue rising as big data and tech potential continue to grow hand in hand. Still, despite this popularity, AI is far from a panacea for everything, as is evidenced by the fact that only 23% of businesses report using such solutions regularly. More disturbingly, a reported 85% if AI projects fail to deliver on their intended goals.
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.
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.
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.
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.
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 (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.
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.