AI as a service to solve your business problems? Guess again

AI as a Service

Industries of all types are embracing off-the-shelf AI solutions. According to industry experts, global AI software revenue — most of it online artificial intelligence as a service software (AIaaS) — is set to grow by an astounding annual rate of 34.9%, with the market reaching over $100 billion by 2025. It sounds like a great idea, but there is a caveat — “one-size-fits-all” syndrome.

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Companies betting on data must value people as much as AI

AI scalability

The Pareto principle, also known as the 80-20 rule, asserts that 80% of consequences come from 20% of causes, rendering the remainder way less impactful. Those working with data may have heard a different rendition of the 80-20 rule: A data scientist spends 80% of their time at work cleaning up messy data as opposed to doing actual analysis or generating insights. Imagine a 30-minute drive expanded to two-and-a-half hours by traffic jams, and you’ll get the picture.

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Achieving digital transformation through RPA and process mining

Finger key

Alp Uguray is an award-winning technologist, adviser and investor with 2x UiPath (MVP) Most Valuable Professional Award and is a globally recognized expert on intelligent automation, AI (artificial intelligence), RPA, process mining and enterprise digital transformation.

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European AI needs strategic leadership, not overregulation

Arrows and shapes

The EU Commission recently proposed a new set of stringent rules to regulate AI, citing an urgent need. With the global race to regulate AI officially on, the EU published a detailed proposal on how AI should be regulated, explicitly banning some uses and defining those it considers “high-risk,” planning to ban the use of AI that threatens people’s rights and safety.

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As M&A accelerates, deal-makers are leveraging AI and ML to keep pace

Winding arrows

The global pandemic has changed the way we work, including how and where we work. For those involved in the mergers and acquisitions (M&A) industry, a notoriously relationship-driven business, this has meant in-person boardroom handshakes have been replaced by video conference calls, remote collaboration and potentially less travel in the future. Research shows that AI will transform the M&A process by decreasing the time it takes to perform due diligence to less than a month in 2025 from three to six months in 2020.

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5 emerging use cases for productivity infrastructure in 2021

Woman in server room

When the world flipped upside down last year, nearly every company in every industry was forced to implement a remote workforce in just a matter of days — they had to scramble to ensure employees had the right tools in place and customers felt little to no impact. While companies initially adopted solutions for employee safety, rapid response and short-term air cover, they are now shifting their focus to long-term, strategic investments that empower growth and streamline operations.

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To ensure inclusivity, the Biden administration must double down on AI development initiatives

US flag in code

The National Security Commission on Artificial Intelligence (NSCAI) issued a report last month delivering an uncomfortable public message: America is not prepared to defend or compete in the AI era. It leads to two key questions that demand our immediate response: Will the U.S. continue to be a global superpower if it falls behind in AI development and deployment? And what can we do to change this trajectory?

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Tips for applying an intersectional framework to AI development

y now, most of us in tech know that the inherent bias we possess as humans creates an inherent bias in AI applications — applications that have become so sophisticated they’re able to shape the nature of our everyday lives and even influence our decision-making. The more prevalent and powerful AI systems become, the sooner the industry must address questions like: What can we do to move away from using AI/ML models that demonstrate unfair bias?

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